Computer Science Engineering

Computer Science Engineering

 

ABOUT THE DEPARTMENT

The Department of Computer Science at Sister Nivedita University stands as a beacon of innovation and academic excellence. With a strong commitment to the ideals of NEP 2020, the department offers a comprehensive range of programs including six specialized B.Tech tracks, BCA, MCA, M.Tech, and Ph.D., catering to a vibrant community.

Our academic portfolio is deeply aligned with emerging technologies, covering fields such as Artificial Intelligence, Data Science, Internet of Things (IoT), Cybersecurity, Quantum Computing, and more. Research is the cornerstone of our ethos, with faculty leading ground-breaking work in AI/ML, Natural Language Processing, Blockchain, Bioinformatics, and Cloud Computing.

SNU students consistently excel in competitive examinations like GATE and NET, while many secure prestigious roles at top-tier companies including Microsoft, Amazon, TCS, and IBM, or pursue higher education at premier institutes such as IITs and NITs.

The department fosters a dynamic ecosystem of innovation through active student-run bodies like the Google Developer Student Club and Web3 Club. A culture of hackathons, workshops, and industry collaboration drives practical learning and entrepreneurial thinking.

By seamlessly integrating academic rigor, cutting-edge research, and strong industry connect, the Department of Computer Science at SNU is nurturing future-ready tech leaders, actively contributing to India’s digital transformation.

 

CAREER PROSPECTS

Computer Science Engineering (CSE) and Computer Applications are among the most sought-after domains in the tech-driven world. These programs offer in-depth knowledge in areas such as programming, networking, system design, and hardware/software management, preparing students for diverse career paths in both the private and public sectors.

The demand for skilled professionals in this field is soaring, with graduates consistently landing roles in top IT companies, consulting firms, start-ups, academia, and engineering services. Thanks to a curriculum enriched with industry-aligned training, students are workplace-ready from day one.

Graduates from leading engineering institutions often step into high-growth roles, contributing to innovations in technology and shaping the digital future of industries worldwide.

Popular Career Paths for Computer Science Graduates:

  • Software Engineer
  • Software Developer
  • Computer Programmer
  • System Developer
  • Database Administrator
  • Data Warehouse Analyst
  • Machine Learning Engineer
  • Data Analyst / Data Scientist
  • Business Analyst / Business Intelligence Specialist
  • Information Security Analyst
  • Technical Risk Analyst

These roles span across multiple sectors including IT services, finance, healthcare, cybersecurity, e-commerce, and government agencies, offering excellent compensation, growth opportunities, and global mobility.

 

VISION:

Department of Computer Science & Engineering aims to create a promising environment for producing skilful professionals by making students aware of the modern industrial need. The Department will also encourage fundamental and innovative research in the field of Computer Science & Engineering.

 

MISSION:

  • M1:To provides adequate guidance to students on emerging trends in the field of Computer Science & Engineering.
  • M2: To prepare students for flexible career paths with qualitative advancement in computing.
  • M3: To imparts moral and ethical values, along with interpersonal skills to the students and faculty members for their professional and personal growth.
  • M4: To provide various opportunities for students as well as faculty members to excel in every field by its collaboration with international bodies.

 

COURSES OFFERED

  • Bachelor of Technology (Computer Science & Engineering)
  • Bachelor of Technology (Computer Science & Business Systems)
  • Bachelor of Technology in Computer Science & Engineering(Artificial Intelligence and Machine Learning)
  • Bachelor of Technology in Computer Science & Engineering (Cyber Security)
  • Bachelor of Technology in Computer Science & Engineering (Data Science)
  • Bachelor of Technology in Computer Science & Engineering (Internet of Things)
  • Bachelor of Computer Applications
  • Master of Technology (Computer Science & Engineering)
  • Master of Computer Applications
  • PhD

 

OUR INFRASTRUCTURE

The Department of Computer Science and Engineering has been established with a vision to lead in computer science education in research. We aspire to provide practical use of computer science and its technology among the students who will stand as brand ambassadors for our university in the digitized, professional platform. With state-of-the-art facilities, industry-academia interface, professional guidance, industry-integrated specialized courses, industrial visits/seminars and so on, we aim to imbibe our students with technological excellence. This department comprises advanced classrooms facilities and various laboratories. The laboratories are well equipped with high computational machines with latest software. The laboratories include:

  • Computer Programming Lab
  • Operating System lab
  • Design and Analysis of Algorithm Lab
  • IT Workshop Lab
  • Artificial Intelligence Lab
  • Machine Learning Lab
  • Data Science Lab
  • Database Management System Lab
  • Software Engineering Lab
  • Computer Network Lab
  • Modern Application Development lab
  • Computer graphics Lab
  • Linux Administration Lab
  • Computer Organization and Architecture Lab
  • Digital Electronics Lab
  • Multimedia Lab

 


 

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CoursesYearsSemesterEligibility CriteriaMarks Required
B.Tech (CSE) (Honours / Honours with Research)4855% in EPCM
B.Tech (CSE) (Artificial Intelligence and Machine Learning) (Honours / Honours with Research)4855% in EPCM
B.Tech (CSE) (Internet of Things) (Honours / Honours with Research)4855% in EPCM
B.Tech (CSE) (Cyber Security) (Honours / Honours with Research)4855% in EPCM
B.Tech (CSE) (Data Science) (Honours / Honours with Research)4855% in EPCM
B.Tech (CSE) (Lateral) (Honours / Honours with Research)3660% in EPCM
M.Tech (CSE)24"60% in B. Tech./ B.E. in CSE / IT / ECE / EE / ICE / MAE / ME / Production / Industrial Engg."
Ph.D. (CSE) (Full Time / Part Time)3 or 5
Prof. Bhabani P. Sinha
Prof. Bhabani P. Sinha

Emeritus Professor - computer science engineering

Email: bhabani.ps@snuniv.ac.in


Bhabani P. Sinha joined the faculty of Electronics Unit of the Indian Statistical Institute, Calcutta in 1976, where he became a Professor in 1987. He served as the Head of the Advanced Computing and Microelectronics Unit during 1993-2010. He was the Dean of Studies of ISI during 2010-12. He was an Indian Space Research Organization (ISRO) Chair Professor in IIT Kharagpur during 2000. He was an Alexander von Humboldt fellow of Germany. He received many awards and honours in recognition of his excellent academic performance and outstanding research contributions, the most notable of which include: i) M.K. Singal Memorial award from the Indian Science Congress Association in 2012 (handed over by the Hon’ble Prime Minister), for his significant and lifetime contributions to the development of science and technology, ii) Homi Bhaba award of the University Grants Commission, India (1998) for his outstanding contributions to applied sciences, iii) Ram Lal Wadha Medal from the Institution of Electronics and Telecommunication Engineers, India for outstanding original contribution in the field of electronics and telecommunication engineering during the last ten years (2012), iv) Faculty Excellence award of Clemson University, USA (2002), and v) Eminent Engineer award from the Institute of Engineers, India (2008). Prof. Sinha is a Fellow of the IEEE, USA and also a fellow of the Indian National Academy of Engineering, National Academy of Sciences, India, Institution of Electronics and Telecommunications Engineering and West Bengal Academy of Science and Technology. His research interests include computer architecture, algorithms, parallel and distributed computing, mobile communication, and wireless networks.

Prof. Atal Chaudhuri
Prof. Atal Chaudhuri

Emeritus Professor - computer science engineering

PhD (Engg.)

Email: atal.c@snuniv.ac.in


Prof. Atal Chaudhuri born in 1957 in the month of September in Kolkata, passed Higher Secondary Examination in the year 1975 with State rank in Science Stream in the State of West Bengal. Accordingly, he was awarded the National Scholar Certificate and Proficiency Scholarship for outstanding performance in the school leaving examination. Next, he joined Jadavpur University and received the degree of Bachelor of Electronics and Telecommunication in the year 1980 with Distinction Marks. In the same year he joined Post Graduate Course but in between he served DCM Data Products as Field Engineer.
He received his Master of Electronics and Telecommunication Degree with Computer Science specialization in the year 1982 ranking 1st in the said specialization. Next he joined Webel Computers Ltd. as R&D Engineer and worked for one year and finally came back to Jadavpur University for his keen interest in research and academics.
Next he joined Jadavpur University as Project Engineer and received UNIDO fellowship in the year 1984 for visit to West German and USA for studying the state of art automation appropriate for Indian context. After returning he joined Jadavpur University as lecturer in the year 1985. Shortly he was promoted to the post of Associate. Professor in the year 1989. He also received his PhD (Engg.) degree in the same year for his thesis “An Approach Towards the Analysis and Design of Network Protocols using Petri Net Models”. Finally he was promoted to the post of Professor in the Department of Computer Science & Engineering of Jadavpur University in the year 1997. He has completed more than 35 years of Teaching at University level. He also served as Head of the Department of Computer Science & Engineering (2006-2008), which is a rotational assignment. He served as Vice Chancellor for Veer Surendra Sai University of Technology, Burla, Sambalpur, Odisha State funded unitary Technology University (apprx. 70 years old). He was also deputed to the post of Dean, faculty of Engineering & Technology, Jadavpur University.
He has over 140 publications at both National and International level. Till date sixteen scholars have been awarded PhD degree under his guidance.
His field of interest is Mobile ad-hoc network, Information security, Fault Tolerant Architecture, Decimal Architecture, Vedic Mathematics, Reversible Logic, Green Computing, etc. He has a copyright on software developed for Automated Braille Printer and designed Computerized Braille Press for Blind Boy’s Academy, Narendrapur Ramakrishna Mission, West Bengal. He served as an active member of the Technical Committee for conducting and counseling State Level Joint Entrance Examination for admission to Engineering and Medical Courses. He served as an Expert (currently as Chairman) for AICTE, NAAC, UGC, and NBA teams for accreditation and assessment of various institutions across the country for the last 30 years.

Dr. Debasis Mazumdar
Dr. Debasis Mazumdar

Senior Professor - computer science engineering

Email: debasis.m@snuniv.ac.in


Educational Qualifications:

- Ph.D in computer vision – Calcutta University
- M.Tech Radiophysics and Electronics – Calcutta University
- M.Tech Radiophysics and Electronics – Calcutta University

Areas of Specialization: Computer Vision, Image processing, AI/ML  and Data Science

Teaching Experience: 3 Years

Research Experience: 35 Years

Publications:

- 10 research papers in peer-reviewed journals
- 20 conference presentations
- 1 Book Titles

- 8 Patents(Including 1 U.S Patent)

Awards & Recognitions:

- DG R&D Award of CDAC, endowed twice in the career.

Contact Information:

- Email: debasis.m@snuniv.ac.in

 

Short Biography

Dr. Debasis Mazumdar Joined Sister Nivedita University on Feb. 2023 as the Senior Professor of the Department of Computer Science after his superannuation from CDAC Kolkata as the Director of the centre. Prof. Debasis Mazumdar is an active researcher in the area of Artificial Intelligence, Machine Learning, and cognitive science. He has significant contributions in the area of bio-plausible algorithms and information geometry with applications in computer vision. During his 30 years of professional career, he published 10 scientific papers in journals and 20 papers in international conferences of high impact factor. He is also co-author of a book chapter entitled Facial Expressions: A Cross-Cultural Study, published through Advances in Emotion Recognition, John Wiley & Sons Publication. In his working years at the Centre for Development of Advanced Computing (CDAC), Govt. of. In India, he received the prestigious Director General R&D Awards twice for his significant contributions to technology development. Besides, he is endowed with 4 national and one US patent and was editor of two proceedings of international conferences (PERMIN) published through Springer and ACM. He also received a UNDP fellowship and worked as a visiting scientist at the University of Bremen, FRG. Being awarded a Japan Science and Technology fellowship (JST), he worked as a visiting scientist at NICT Japan and Kyoto University, Japan. He also visited Monash University, Melbourne, Victoria, Australia, University of Florida, and Stevens Institute of Technology, USA, Queen’s University, Belfast, U.K. He served as the Director of CDAC Kolkata. Government of India. Currently, his research interest is Information Geometry, Neurocomputing, and the foundation of quantum computing.

Dr. Abhishek Bhattacharya
Dr. Abhishek Bhattacharya

HEAD OF DEPARTMENT - COMPUTER SCIENCE ENGINEERING

Ph.D (CSE), BIT, Mesra

Email: abhishek.bh@snuniv.ac.in


Educational Qualifications:

- Ph.D in Computer Science Engineering - BIT, Mesra
- M.Tech(CSE) - BIT, Mesra

- MCA - [BPUT]

Areas of Specialization: Data Mining, Distributed Computing, Machine Learning

Teaching Experience: 21 Years

Research Experience: 12 Years

Publications:

- 12 research papers in peer-reviewed journals
- 35 conference presentations
- 28 Book Titles

- 7 Patents

Awards & Recognitions:

- 1

Professional Memberships:

- UACEE

- IAENG

- ISOC

- SDIWC

- ICSES

- ISRD

- IOSRD

- IFERP

Contact Information:

- Email: abhishek.bh@snuniv.ac.in
- LinkedIn: https://www.linkedin.com/in/prof-abhishek-bhattacharya-86b07637/

- ResearchGate: https://www.researchgate.net/profile/Abhishek_Bhattacharya4

- GoogleScholar: https://scholar.google.com/citations?user=K6qiAckAAAAJ

 

Short Biography

Dr. Abhishek Bhattacharya is Associate Professor at Sister Nivedita University, India. He has completed his Ph.D (CSE), BIT, Mesra. He is certified as Publons Academy Peer Reviewer, 2020. His research interests are Data Mining, Cyber security and Mobile Computing. He has published 47 conference and journal papers in Springer, IEEE, IGI Global, Taylor & Francis etc. He has 3 Book Chapters in Taylor & Francis Group EAI. He is a peer reviewer and TPC member in different international journals. He was the editor in IEMIS 2020, IEMIS 2018, IEMIS 2022, ICIDA 2022, ICIDA 2023, CIIR 2023, CIIR 2024, ICDMIS 2024 and special issues in IJWLTT. He is the member of several technical functional bodies such as IEEE, IFERP, MACUL, SDIWC, Internet Society, ICSES, ASR, AIDASCO, USERN, IRAN, IAENG. He has published 7 patents and 28 books.

Dr. Saikat Maity
Dr. Saikat Maity

Professor - computer science engineering

B.Tech., CCNA, M.Tech., Ph.D(CS Engineering), Strategic Leadership, London School of Business Administration

Email: saikat.ma@snuniv.ac.in


Director -  Internal Quality Assurance Cell (IQAC), SNU

Educational Qualifications:

- PhD (Computer Science and Technology) – IIEST SHIBPUR
- M.Tech (CSE) – Calcutta University
- B.Tech (CSE) – Kalyani University

- Strategic Leadership in Business Administration, London School of Business Administration

Areas of Specialization: AI, ML, Data Analytics, Software Engineering

Teaching Experience: 25 Years

Research Experience: 20 Years

Publications:

- 26 Research papers in peer-reviewed journals
- 7 Conference presentations
- 2 Book Titles

- 7 Patents

Awards & Recognitions:

- Siksha Ratan Award Nomination, Economic Growth Foundation, INDIA

- 3 Editorial Awards, PSA JOURNAL, PSA, USA

- IIC Advanced Brand Ambassador, MHRD, INDIA

- FEP by Infosys

- INFY TQ by Infosys

- LFH by HCL Limited

Professional Memberships:

- Senior Member IEEE

- Senior Member IEEE, Man Systems and Cybernetics

- Life MEMBER ISTE

- Fellow IE

- Fellow theIRED

- Member CSI

- Member ACM

- Reviewer ASTESJ

- Member IACSIT

- Member IAENG

- Reviewer IET

- Member PSA(Photography)

- Member FIP(Photography)

Contact Information:

- Email: saikat.ma@snuniv.ac.in
- LinkedIn: https://www.linkedin.com/in/prof-dr-saikat-maity-4773147b/

- Google Scholar: https://scholar.google.co.in/citations?hl=en&user=aDAcpiAAAAAJ&view_op=list_works&authuser=2&sortby=pubdate

 

Short Biography

Dr. Saikat Maity, currently associated with Sister Nivedita University, has over 25 years of experience in academia and administration. Formerly Program Director at TransStadia Education and Research Foundation, Ahmedabad, he also served as Professor and Head of CSE at JIS University. He holds a B.Tech from Kalyani University, M.Tech from Calcutta University, and a Ph.D. from IIEST, Howrah. His expertise lies in Software Engineering best practices and Artificial Intelligence, with research interests in networking, soft computing, and image processing. Dr. Maity has led AICTE, UGC, and NBA accreditation processes and championed IIC and incubation initiatives. He manages the PARAM SHAVAK supercomputer and contributes to projects like Onama, CHReME, and Ganglia. A member of JIS University’s Academic Council, he also heads digital learning initiatives. He is a CCNA professional, Fellow of IE, and Senior Member of IEEE, IEEE SMC, along with being a life member of ISTE, CSI, ICS, and a member of ACM.

 

Dr. Souvik Pal
Dr. Souvik Pal

Professor - computer science engineering

Ph.D. in Computer Science and Engineering - KIIT University

Email: souvik.p@snuniv.ac.in


Educational Qualifications:

- Ph.D. in Computer Science and Engineering - KIIT University

- M. Tech in Computer Science and Engineering - KIIT University
- B. Tech - Computer Science and Engineering - MAKAUT

Areas of Specialization: Cloud Computing, Internet of Things, Business Analytics, SDGs

Teaching Experience: 16 Years

Research Experience: 13 Years

Publications:

- 46 research papers in peer-reviewed journals
- 84 conference presentations
- 22 Book Titles

- 3 Patents

Professional Memberships:

- IEEE

- CSI

- IACSIT

 

Contact Information:

- Email: souvik.p@snuniv.ac.in
- LinkedIn: https://www.linkedin.com/in/dr-souvik-pal-b24bb551/

- ResearchGate: https://www.researchgate.net/profile/Souvik-Pal-5/publications

- GoogleScholar: https://scholar.google.co.in/citations?user=sGLdUasAAAAJ&hl=en

 

 

Short Biography

Souvik Pal is an Professor in the Department of Computer Science and Engineering at Sister Nivedita University (Techno India Group), Kolkata, India. Prior to that, he was associated with Global Institute of Management and Technology; Brainware University, Kolkata; JIS College of Engineering, Nadia; Elitte College of Engineering, Kolkata; and Nalanda Institute of Technology, Bhubaneswar, India. Dr. Pal received his MTech, and PhD degrees in the field of Computer Science and Engineering from KIIT University, Bhubaneswar, India. He has more than a decade of academic experience. He is author or co-editor of more than 15 books from reputed publishers, including Elsevier, Springer, CRC Press, and Wiley, and he holds three patents. He is serving as a Series Editor for “Advances in Learning Analytics for Intelligent Cloud-IoT Systems”, published by Scrivener-Wiley Publishing (Scopus-indexed); “Internet of Things: Data-Centric Intelligent Computing, Informatics, and Communication”, published CRC Press, Taylor & Francis Group, USA; “Conference Proceedings Series on Intelligent Systems, Data Engineering, and Optimization”, published CRC Press, Taylor & Francis Group, USA; Dr. Pal has published a number of research papers in Scopus / SCI/SCIE Journals and conferences. He is the organizing chair of RICE 2019, Vietnam; RICE 2020 Vietnam; ICICIT 2019, Tunisia. He has been invited as a keynote speaker at ICICCT 2019, Turkey, and ICTIDS 2019, 2021 Malaysia. He has also served as Proceedings Editor of ICICCT 2019, 2020; ICMMCS 2020, 2021; ICWSNUCA 2021, India. His professional activities include roles as Associate Editor, Guest Editor, and Editorial Board member for more than 100+ international journals and conferences of high repute and impact. His research area includes cloud computing, big data, internet of things, wireless sensor network, and data analytics. He is a member of many professional organizations, including MIEEE; MCSI; MCSTA/ACM, USA; MIAENG, Hong Kong; MIRED, USA; MACEEE, New Delhi; MIACSIT, Singapore; and MAASCIT, USA.

Dr. Rana Majumdar
Dr. Rana Majumdar

Professor - computer science engineering

MCA, M. Tech, Ph.D. (CSE)

Email: rana.m@snuniv.ac.in


Educational Qualifications:

- Ph.D. in Information Technology  – Amity University
- M.Tech ( CSE) - Amity University, Noida
- B.Sc ( PCM)- Calcutta University– Calcutta University

Areas of Specialization: Software Reliability Engineering, Networking, Artificial Intelligence, Data Science

Teaching Experience: 20+ years

Research Experience: 12 years

Publications:

- 35 research papers in peer-reviewed journals
- 76 conference presentations
- 12 Book Titles

- 18 Patents

Awards & Recognitions:

- The IET award Issued by The IET, U.K., Jun 2012 , 

- InSc Award 2022,

- India Prime Awards, India Prime Awards Issued by FoxClues · Oct 2021 ,

- Education Enthusiast 2022, Issued by All India Eminent Council of Engineering Management & Technology · Jun 2022,

- Shikshad Samman 2022, Issued by Nikhil Bharat Shikska Parisad · Sep 2022,

- Best Researcher of the Year 2022 Issued by NSBP NITI AAYOG Govt. of India, Ministry of Social Justice & Empowerment Govt. Of India · Dec 2022,

- Guest of Honor from Intellectual Property Right and Innovation Drive at 26th and 27th April, Pune 2024 ,

- Most Promising Researcher 2024 Issued by NBSP in association with Institute of Engineers ( India) · May 2024,

- Eminent Educator 2024 Issued by NBSP in association with IEI, Kolkata. · May 2024

Professional Memberships:

- Registered Member IET (U.K), MIET.

- Registered Member IAENG, International Association of Engineers.

- Registered Member Society for Reliability Engineering, Quality and Operations Management (SREQOM).

- Registered Member Infosys Campus connects Program.

- Registered Member / Technical Secretary Indian Society for Technical Education (ISTE).

- Technical Secretary of IETA.

- Member of AUN Research Labs, Amity University.

- INSC Premium Member

- CCL member

 

Contact Information:

- Email: rana.m@snuniv.ac.in
- LinkedIn: https://www.linkedin.com/in/dr-rana-majumdar-76a24117/?originalSubdomain=in

- ResearchGate: https://www.researchgate.net/lab/Rana-Majumdar-Lab-Dr-Rana-Majumdar

- GoogleScholar: https://scholar.google.co.in/citations?user=GvubxL4AAAAJ&hl=en

 

Short Biography

Dr. Rana Majumdar is a distinguished academician and researcher, currently serving as a Professor at Sister Nivedita University under the Techno India Group, Kolkata. He has an extensive record of research contributions, with numerous publications indexed in SCI, SCIE, ESCI, SCOPUS, and SJR-indexed databases. He is also the author of several books, including Accessing WLAN, Data Structure, and Cybersecurity—the latter two published by HSRA Publications.

Dr. Majumdar has been awarded twenty patents and one copyright for his innovative work. A proactive contributor to academic and professional communities, Dr. Majumdar is associated with organizations such as IET, IAENG, SREQAM, and ISTE. He is a Senior Member of SREQAM and has held leadership roles, including Chair of the IET Young Professional Affinity Group and Coordinator of the IET Student Chapter (2016–2017). He has chaired or co-chaired over 30 international conferences, both in India and abroad.

He currently serves as Editor-in-Chief of the International Journal of Engineering and Advanced Scientific Technology (IJEAST) and is on the editorial board of several journals under InderScience Publishers.

Dr. Majumdar’s academic contributions have earned him numerous accolades, including:

Best Paper Awards at Confluence 2011, ICRITO 2017, MIDAS 2020, AIST 2021, ICDMIS 2025and CIIR 2025.

Academic Excellence Award (InSc, 2020–21), Shiksha Samman 2022 (Nikhil Bharat Shiksha Parisad)

Education Enthusiast 2022 (All India Eminent Council of Engineering Management & Technology)

Best Researcher of the Year 2022 (NSBP, NITI Aayog, Ministry of Social Justice & Empowerment, Govt. of India)

Guest of Honor at IPR & Innovation Drive, MIT-ADT University, Pune (April 2024)

Eminent Educator 2024 and Most Promising Researcher 2024 (NBSP in association with IEI, Kolkata),also IET (UK), InSc, and Forex for his outstanding contributions to education and research.

Dr. Soumi Dutta
Dr. Soumi Dutta

Associate Professor - computer science engineering

Ph.D(CST), IIEST, Shibpur. B.Tech(IT) and M.Tech(CSE) securing 1st position (Gold medallist), from MAKAUT.

Email: soumi.du@snuniv.ac.in


Educational Qualifications:

- Ph.D. in Computer Science and Technology - IIEST(BESU, Shibpur)
- M.Tech in CSE - MAKAUT
- B.Tech in IT - MAKAUT

Areas of Specialization: Social network analysis, data mining, information retrieval, Online Social Media Analysis, Natural Language Processing, Image processing

Teaching Experience: 17 Years

Research Experience: 11 Years

Publications:

- 10 Research papers in peer-reviewed journals
- 48 Conference presentations
- 51 Book Titles

- 12 Patents

Awards & Recognitions:

- 8

Professional Memberships:

- The Institute of Electrical and Electronics Engineers[IEEE]

- Institute For Engineering Research and Publication(IFERP)

- The Michigan Association for Computer Users in Learning (MACUL).

- The Society of Digital Information and Wireless, Communications (SDIWC)

- Internet Society , Region: Asia-Pacific

- International Computer Science and Engineering Society (ICSES)

- Senior Member of Science and Engineering Institute (SCIEI)

- International Computer Science and Engineering Society

- The Asia Society of Researcher (ASR)

- Senior Member of Association for the International Development of Academic and Scientific Collaboration ( AIDASCO)

- Member, Universal Scientific Education and Research Network (USERN),IRAN

- International Association of Engineers (IAENG)

- ACM Professional Membership 

- Professional Membership of CAPE Forum

- Professional Membership of Institute of Global Professional

- Professional Membership of DHS FOUNDATION, NEW DELHI, INDIA

- CSI (Kolkata Chapter)

- Soft Computing Research Society

 

Contact Information:

- Email: soumi.du@snuniv.ac.in
- LinkedIn: https://www.linkedin.com/in/dr-soumi-dutta-b2a5a61bb/

- ResearchGate: https://www.researchgate.net/profile/Soumi_Dutta

- Google Scholar: https://sites.google.com/site/blogsoumidutta

 

 

Short Biography

Dr. Soumi Dutta is Associate Professor at Sister Nivedita University (SNU) at New Town, Kolkata, India. She has completed her Ph.D(CST), IIEST, Shibpur. She received her B.Tech(IT) and M.Tech(CSE) securing 1st position (Gold medallist), from MAKAUT. She is certified as Publons Academy Peer Reviewer, 2020 and Certified Microsoft Innovative Educator, 2020. Her research interests are Data Mining, Information Retrieval, Online Social Media Analysis and Image Processing. She has published more than 40 conference and journal papers in Springer, IEEE, IGI Global, Taylor & Francis etc. She has 25 Book  and Book Chapters in Taylor & Francis Group and IGI Global. She is peer reviewer and TPC member in different international journals. She is an active member of several technical functional bodies such as ACM, IEEE, IFERP, MACUL, SDIWC, Internet Society, ICSES, ASR, AIDASCO, USERN, IRAN, IAENG. She has published 8 patents and 1 copyright. Dr. Soumi Dutta has delivered 37 Keynote talks in Different International Conferences. She has been awarded with Rashtriya Shiksha Ratna Award, InSc Research Education Excellence Award, International Teacher Award 2020-21 by the Ministry of MSME, Government of India.

DR. MOUSUMI BHATTACHARYYA
DR. MOUSUMI BHATTACHARYYA

Associate Professor - computer science engineering

Ph.D. (CSE), M.Tech (CSE)

Email: mousumi.b@snuniv.ac.in


Educational Qualifications:

- Ph.D. in CSE - Sister Nivedita University
- M.Tech. in CSE - Jadavpur University
- B.Tech. in CSE - University of Kalyani

Areas of Specialization: Algorithm, Networking

Teaching Experience: 22 Years

Research Experience: 7 Years

Publications:

- 3 Research papers in peer-reviewed journals
- 7 Conference presentations

Contact Information:

- Email: mousumi.b@snuniv.ac.in
- LinkedIn: www.linkedin.com/in/dr-mousumi-bhattacharyya-80114618

- ResearchGate: https://www.researchgate.net/profile/Mousumi-Bhattacharyya-2?ev=hdr_xprf

- Google Scholar: https://scholar.google.com/citations?user=8nlg5YIAAAAJ&hl=en

 

Short Biography

Dr. Mousumi Bhattacharyya is an Associate Professor in the Department of Computer Science and Engineering at Sister Nivedita University, Kolkata. She earned her Ph.D. in Computer Science and Engineering from Sister Nivedita University, M.Tech in Computer Technology from Jadavpur University, and B.Tech in Computer Science and Engineering from the University of Kalyani. With over 22 years of teaching experience, she has been actively involved in mentoring undergraduate and postgraduate students. She has contributed to academic research through publications in reputed national and international journals and conferences. Her primary research interests include algorithms and computer networking. She remains engaged in both teaching and research, with a focus on fostering critical thinking and practical skills among students.
 

 

Dr. Swarup Kr Ghosh
Dr. Swarup Kr Ghosh

Associate Professor - computer science engineering

Ph.D, M.Tech.

Email: swarup.kg@snuniv.ac.in


Educational Qualifications:

- Ph.D. in CSE – MAKAUT, WB
- M.Tech (IT) – University of Calcutta
- B.Sc in Mathematics (Hons) - University of Burdwan

Areas of Specialization: Artificial Intelligence and Machine Learning, Computational Biology and Bio informatics, Data Science, Medical Imaging

Teaching Experience: 12 Years

Research Experience: 13 Years

Publications:

- 24 Research papers in peer-reviewed journals
- 6 Conference presentations
- 11 Book Chapters

- 4 Patents

Awards & Recognitions:

- Young Research Award in 2021 from Institute of Scholar

Contact Information:

- Email: swarup.kg@snuniv.ac.in
- LinkedIn: https://www.linkedin.com/in/dr-swarup-kr-ghosh-b8782557/

- ResearchGate: https://www.researchgate.net/profile/Swarup-Ghosh-4?ev=hdr_xprf

- Google Scholar: https://scholar.google.co.in/citations?user=1NU_3oEAAAAJ&hl=en

 

Short Biography

Dr. Swarup Kr Ghosh is presently working as an Associate Professor of the Department of Computer Science & Engineering, Sister Nivedita University, Kolkata. He received the Ph.D. from MAKAUT in 2023. Dr. Ghosh also received a Master of Technology from the University of Calcutta. His teaching experience comprises 12 years and 13 years in research. He has published more than 40 research articles in various reputed journals (SCI/SCIE/ESCI) and conference proceedings. Four Indian patents have been granted. He is an expert in programming and Data Structure, Design and analysis of algorithms, Theory of computation, Database Management System, Artificial Intelligence, and Machine Learning. He is also a reviewer for some reputed journals like IEEE Transactions, Elsevier, Springer, etc. His research interests include Bioinformatics and Computational Biology, Medical Imaging, Machine Learning, Data Science, NLP, and Soft Computing. He was previously associated with some prestigious institutes like the National Power Training Institute (ER), Durgapur, and the Indian Institute of Management, Calcutta, Kolkata.

Dr. Indranil Sarkar
Dr. Indranil Sarkar

Assistant Professor - computer science engineering

PhD in Information Technology

Email: indranil.s@snuniv.ac.in


Educational Qualifications:

- Ph.D in Information Technology - NIT Raipur
- M.Tech in CSE - MAKAUT
- B.Tech in CSE - MAKAUT

Areas of Specialization: Edge Computing, Artificial Intelligence, Machine Learning, Networking

Teaching Experience: 5 years

Research Experience: 6 years

Publications:

- 5 research papers in peer-reviewed journals
- 7 conference presentations
- 3 Book Titles

- 2 Patents

Awards & Recognitions:

-  Full-time institutional fellowship from NIT Raipur

-  Research Council of Norway (RCN) under the IKTPLUSS programme

Professional Memberships:

- IEEE

- IFERP

- IAENG

Contact Information:

- Email: indranil.s@snuniv.ac.in
- LinkedIn: https://www.linkedin.com/in/indranil-sarkar-239435b5/

- ResearchGate: https://www.researchgate.net/profile/Indranil-Sarkar-10?ev=hdr_xprf

- GoogleScholar: https://scholar.google.com/citations?hl=en&authuser=4&user=4w07CswAAAAJ

 

Short Biography

Dr. Indranil Sarkar is currently serving as an Assistant Professor in the Department of Computer Science and Engineering at Sister Nivedita University, Kolkata. He completed his Ph.D. from the National Institute of Technology Raipur, India, and subsequently worked as a Postdoctoral Fellow in the Department of Informatics at the University of Oslo, Norway. With over nine years of research experience, Dr. Sarkar has authored and co-authored numerous papers in reputed international journals and conferences. His research interests include IoT, Fog/Edge Computing, 6G, Machine Learning, and Industry 4.0/5.0.

Dr. Soma Datta
Dr. Soma Datta

Assistant Professor - computer science engineering

B. Sc., B. Tech., M. Tech., Ph. D.

Email: soma.da@snuniv.ac.in


Educational Qualifications:

- Ph.D. in Analysis of Dental Imageries - University of Calcutta
- MTech in CSE - University of Calcutta
- B.Sc - University of Calcutta

Areas of Specialization: DBMS, Formal Language and Finite Automata, Computer Organization, Digital Image Processing

Teaching Experience: 4 Years

Research Experience: 9 Years

Publications:

- 6 Research papers in peer-reviewed journals
- 4 Conference presentations
- 12 Book Chapters

Awards & Recognitions:

- Visvesvaraya Ph.D. Fellowship, TEQIP(CoE)

Contact Information:

- Email: soma.da@snuniv.ac.in
- LinkedIn: https://www.linkedin.com/in/soma-datta-baaaa6219/

- Google Scholar: https://scholar.google.com/citations?hl=en&user=5ECqTucAAAAJ&view_op=list_works&sortby=pubdate

 

Short Biography

SOMA DATTA received her M.Sc. and M.Tech. degrees from the University of Calcutta, India, in 2005 and 2007, respectively. She was with the Research and Development section, TATA Consultancy Service Limited as a System Engineer. After that, she joined the University of Calcutta, Kolkata, as a Ph.D. Research Fellow. She has a considerable number of paper publications in the image processing domain. Her research interests include medical imaging and pattern recognition. Currently she is working as an Assistant Professor at Sister Nivedita University.

Dr. Ankita Dhar
Dr. Ankita Dhar

Assistant Professor - computer science engineering

Ph.D. in CS from West Bengal State University, M.Sc. (Gold Medalist) in CS, B.Sc. in CS from East Calcutta Girls’ College

Email: ankita.d@snuniv.ac.in


Educational Qualifications:

- Ph.D. in Computer Science - West Bengal State University
- M.Sc. in Computer Science - West Bengal State University
- B.Sc. in Computer Science - West Bengal State University

Areas of Specialization: Natural Language Processing, Artificial Intelligence, Machine Learning

Teaching Experience: 3 Years

Research Experience: 10 Years

Publications:

- 12 Research papers in peer-reviewed journals
- 35 Conference presentations
- 5 Book chapters

 

Professional Memberships:

-Lifetime membership of CSI

Contact Information:

- Email: ankita.d@snuniv.ac.in
- LinkedIn: https://www.linkedin.com/in/ankita-dhar-b1706438/

- ResearchGate: https://www.researchgate.net/profile/Ankita-Dhar-2?ev=hdr_xprf

- Google Scholar: https://scholar.google.com/citations?user=mfiy9OQAAAAJ&hl=en

Short Biography

Dr. Ankita Dhar is an Assistant Professor in the Department of Computer Science and Engineering at Sister Nivedita University, Kolkata, India. Prior to that, she was associated with Brainware University, Kolkata. She has completed B.Sc. in Computer Science from East Calcutta Girls’ College; M.Sc. (Gold Medalist) in Computer Science and PhD in Computer Science from West Bengal State University respectively. She has presented/published around 50+ research papers in reputed journals, conferences and book chapters. Her research interest includes Natural Language Processing, Information Retrieval, Audio Signal Processing, Artificial Intelligence and Machine Learning.

DR. ASMITA ROY
DR. ASMITA ROY

Assistant Professor - computer science engineering

M.Tech (IT), PhD in Engineering

Email: asmita.r@snuniv.ac.in


Educational Qualifications:

- PhD in CSE - MAKAUT, WB
- M.Tech - MAKAUT, WB
- M.Sc in Computer Science – St. Xaviers College, Kolkata

Areas of Specialization: Networking, Cloud Computing, Mobile Computing

Teaching Experience: 7 Years

Research Experience: 7 Years

Publications:

- 10 Research papers in peer-reviewed journals
- 20 Conference presentations

Contact Information:

- Email: asmita.r@snuniv.ac.in
- LinkedIn: www.linkedin.com/in/dr-asmita-roy-phd

- ResearchGate: https://www.researchgate.net/profile/Asmita-Roy?ev=hdr_xprf

- Google Scholar: https://scholar.google.com/citations?user=aqOtiVkAAAAJ&hl=en&authuser=3

 

Short Biography

Dr. Asmita Roy holds an M.Sc. in Computer Science from St. Xavier’s College, Kolkata, and an M.Tech from MAKAUT, West Bengal, where she earned the Silver Medal for academic excellence. She received the prestigious TEQIP scholarship, supported by the Government of India and the World Bank, to pursue her Ph.D. from the same university. During her doctoral studies, she worked as a Research Assistant in the Department of Computer Science and Engineering for three years and contributed to a Network Security project under ISEA Phase–II, funded by MeitY. Dr. Roy has taught in several university-affiliated colleges, gaining broad teaching experience. She has over 30 publications in reputed international journals and conferences, including Elsevier, IEEE, Springer, and ACM. Her research interests include Cloud Computing, Mobile Network Optimization.

 

Dr. SADIP MIDYA
Dr. SADIP MIDYA

Assistant Professor - computer science engineering

M. Tech. (IT), PhD in Engineering

Email: sadip.m@snuniv.ac.in


Educational Qualifications:

- PhD in CSE - MAKAUT, WB
- M.Tech - MAKAUT, WB
- M.Sc in Computer Science – St. Xaviers College, Kolkata

Areas of Specialization: Vehicular Ad-Hoc Networks, Internet of Vehicles, Vehicular Cloud

Teaching Experience: 7 Years

Research Experience: 9 Years

Publications:

- 10 Research papers in peer-reviewed journals
- 21 Conference presentations

Contact Information:

- Email: sadip.m@snuniv.ac.in
- LinkedIn: www.linkedin.com/in/dr-sadip-midya-phd

- ResearchGate: https://www.researchgate.net/profile/Sadip-Midya?ev=hdr_xprf

- Google Scholar: https://scholar.google.com/citations?user=GdSTMMsAAAAJ&hl=en

 

Short Biography

Dr. Sadip Midya is an Assistant Professor in the Department of Computer Science & Engineering at Sister Nivedita University (SNU), Kolkata. He earned his M.Sc. in Computer Science from St. Xavier's College, Kolkata, followed by an M.Tech and a Ph.D. in Computer Science and Engineering from MAKAUT. Between 2017 and 2021, he worked as a Research Assistant under the Government of India’s TEQIP initiative. At SNU, Dr. Midya actively contributes to teaching, research, and academic growth. His research focuses on Vehicular Ad-hoc Networks (VANETs), Internet of Vehicles (IoV), and Vehicular Clouds. With over 30 publications in respected international journals and conferences, his work on VANET earned a minor project grant from TEQIP, during his PhD. He also launched and continues to manages the departmental technical magazine “Bits N Bytes” at SNU, playing a vital role in institutional advancement and fostering interdisciplinary collaboration in emerging technologies.

Aritra Ghosh
Aritra Ghosh

Assistant Professor - computer science engineering

pursuing his PhD in Computer Science from Florida Atlantic University, USA, Master of Science from Texas A&M University-Kingsville, USA in 2015.

Email: aritra.g@snuniv.ac.in


Educational Qualifications:

- Ph.D. (Pursuing) - from Florida Atlantic University, USA
- M.S. in Computer Science from Texas A&M University-Kingsville, USA
- B.Tech in Computer Science and Engineering from Techno International New Town, Kolkata

Areas of Specialization: Software Engineering, Operating Systems, Computational Modeling and Big Data, and Web Development

Teaching Experience: 6 Years

Research Experience: 12 Years

Publications:

- 3 Research papers in peer-reviewed journals
- 14 Conference presentations
- 2 Book Chapters

- 3 Patents

Awards & Recognitions:

- Dean's Teaching Assistant (Fellowship)

Professional Memberships:

-IEEE, International Association of Engineers (IAENG), IASIR Journal

Contact Information:

- Email: aritra.g@snuniv.ac.in
- LinkedIn: https://www.linkedin.com/in/aritra-ghosh-96a55984/

- ResearchGate: https://www.researchgate.net/profile/Aritra-Ghosh-10?ev=hdr_xprf

- Google Scholar: https://scholar.google.com/citations?user=_-2lcX4AAAAJ&hl=en

 

Short Biography

Aritra Ghosh joined Sister Nivedita University in January 2024 as an Assistant Professor in the Department of Computer Science and Engineering. He holds a B.Tech in CSE from MAKAUT and an M.S. from Texas A&M University-Kingsville, USA. He is currently pursuing his Ph.D. in Computer Science at Florida Atlantic University, USA. With over a decade of research experience, he has authored/co-edited 13+ publications in reputed venues including IEEE, Springer, and MDPI, along with 2 book chapters. He holds three design patents in the domains of intelligent web interfaces and human-computer interaction. He has participated in workshops organized by NSF (USA), AICTE, Microsoft, IBM, and IIT Kharagpur (NPTEL). He has served on editorial/review boards for IAENG, IASIR Journal, ICSOFT’19, and IEEE SouthEastCon’19. His research interests include data analysis, AI/ML, HCI, computational modeling, big data, and web development.

Basudev Saha
Basudev Saha

Assistant Professor - computer science engineering

PhD (Pursuing) – North Bengal University, M.Tech (IT)

Email: basudev.s@snuniv.ac.in


Educational Qualifications:

- PhD (Pursuing) – North Bengal University
- M.Tech (IT) – Calcutta University
- MCA –Calcutta University

-B.Sc (Computer Science)(H) - North Bengal University

Areas of Specialization: Micro-fluids, Biochip, ML, VLSI

Teaching Experience: 12 Years

Research Experience: 7 Years

Publications:

- 4 Research papers in SCI indexed journals
- 2 Conference presentations
- 1 Patent

Awards & Achievements:

- WB SET in 2020

- GATE 2020 and 2016

- Best Paper Award at CIIR-2025

- Academic Award 2019 as Excellent from Brainware University

- Teaching Assistantship under TEQIP phase II in the dept. of A.K.C.S.I.T (C.U) 2012-2013

Professional Memberships:

- Senior Member IEEE

- Senior Member IEEE, Man Systems and Cybernetics

- Life MEMBER ISTE

- Fellow IE

- Fellow theIRED

- Member CSI

- Member ACM

- Reviewer ASTESJ

- Member IACSIT

- Member IAENG

- Reviewer IET

- Member PSA(Photography)

- Member FIP(Photography)

Contact Information:

- Email: basudev.s@snuniv.ac.in
- LinkedIn: https://www.linkedin.com/in/basudev-saha-97122124/

- ResearchGate: https://www.researchgate.net/profile/Basudev-Saha?ev=hdr_xprf

- Google Scholar: https://scholar.google.com/citations?user=r4rdZ-IAAAAJ&hl=en&authuser=1

- Orcid: https://orcid.org/0000-0003-3708-6330

 

 

Short Biography

Basudev Saha is a Doctoral student of the University of North Bengal, Siliguri, India. He did his M.Tech in Information Technology from the University of Calcutta, India. He is an Assistant Professor in the Department of Computer Science and Engineering at Sister Nivedita University, Kolkata, India. Formally, he was an Assistant Professor of the Department of Computational Science at Brainware University, Kolkata, India. His research interests include Microfluidic System, Digital Microfluidic-Biochip, Machine Learning, and Deep Learning.

Subhra Halder
Subhra Halder

Assistant Professor - computer science engineering

M.Tech

Email: subhra.h@snuniv.ac.in


Subhra Halder is an Assistant Professor at Sister Nivedita University. She received her B.Tech and M.Tech degrees in Computer Science and Engineering. She has 6 years of industrial experience and 2 years of academic experience.

DR. ALAMGIR SARDAR
DR. ALAMGIR SARDAR

Assistant Professor - computer science engineering

Ph.D. in Computer Science & Engineering - Aliah University

Email: alamgir.s@snuniv.ac.in


Educational Qualifications:

- Ph.D. in Computer Science & Engineering - Aliah University

- M.Sc. - Aliah University

-B.Sc. - Aliah University

Areas of Specialization: Machine Learning, Deep Learning, Bio-Crypto Systems

Teaching Experience: 2 Years

Research Experience: 5 Years

Publications:

- 8 research papers in peer-reviewed journals
- 2 conference presentations
- 1 Book Titles

- 1 Patents

Awards & Recognitions:

-  Maulana Azad National Fellowship (MANF), Awarded by UGC

Contact Information:

- Email: alamgir.s@snuniv.ac.in
- ResearchGate: https://www.researchgate.net/profile/Alamgir-Sardar?ev=hdr_xprf

- GoogleScholar: https://scholar.google.co.in/citations?user=2gM8D8kAAAAJ&hl=en

 

Short Biography

Dr. Alamgir Sardar is an Assistant Professor in the Department of Computer Science Engineering (School of Engineering) at Sister Nivedita University, Kolkata, India. He has completed 5-year Integrated Master of Science in Computer Science in 2013 from the Department of Computer Science and Engineering, Aliah University, Kolkata. He has been awarded PhD degree in March 2024 from the same university. He has also received the Maulana Azad National Fellowship (MANF) by UGC for his PhD tenure. He has qualified UGC-NET 6 times and GATE. He has published 8 research papers (SCI) in reputed journals. He also presented 2 conference papers, one of which has been published as Springer Lecture Notes in Computer Science (LNCS). Moreover, he has a US patent. His research interests include Bio-Crypto Systems, Computer Vision, Machine learning, and Deep Learning.

Sourajit Maity
Sourajit Maity

Assistant Professor - computer science engineering

Pursuing a doctoral degree at Jadavpur University, M.Tech in computer science from Jadavpur University and B.Tech from Makaut University.

Email: sourajit.m@snuniv.ac.in


Educational Qualifications:

- Ph.D. in Engineering - Jadavpur University
- M.Tech in Computer science and Engineering - Jadavpur University

- B.Tech in  Engineering - MAKAUT

Areas of Specialization: Artificial Intelligence, Machine Learning, Image processing, C, Python

Teaching Experience: 2+ Years

Research Experience: 3 Years

Publications:

- 6 research papers in peer-reviewed journals
- 15 conference presentations
- 2 Book Titles

- 0 Patents

Awards & Recognitions:

-  Best Researcher award by Knowledge Research Academy on Republic day education award

Contact Information:

- Email: sourajit.m@snuniv.ac.in
- LinkedIn: https://www.linkedin.com/in/sourajit-maity-681b59ba/

- ResearchGate: https://www.researchgate.net/profile/Sourajit-Maity/research

- GoogleScholar: https://scholar.google.com/citations?user=wOI0K0AAAAAJ&hl=en

 

Short Biography

Sourajit Maity is pursuing a doctoral degree at Jadavpur University, where he is researching how to better identify and classify vehicles using computer vision and deep learning techniques. In addition, he works on medical image analysis and categorization of diseases including lung, oral, and skin cancer. His areas of interest in research are deep learning, computer vision, IOT, medical image analysis, artificial intelligence, and machine learning. He had presented his research in more than 12 international SCI/Scopus indexed journals and conferences. In addition, he served as a reviewer for several esteemed international conferences and was a part of Springer and Elsevier. Additionally, he organizes competitions based on waste management, categorization, and meteorological information under unfavorable conditions. He graduated with a B.Tech from Makaut University and an M.Tech in computer science from Jadavpur University.

Aritra Sinha
Aritra Sinha

Assistant Professor - computer science engineering

Pursuing a Ph.D. at NIT Mizoram, focusing on antenna optimization, M.Tech in Electronics and Communication Engineering from MAKAUT.

Email: aritra.s@snuniv.ac.in


Educational Qualifications:

- Ph.D (Pursuing) Electronics and Communication Engineering, National Institute of Technology Mizoram
- M. Tech in Electronics and Communication Engineering (Spcl. Mobile Communication & Network Technology), MAKAUT
- B. Tech in Electronics and Communication Engineering, MAKAUT

- Diploma in Electronics and Telecommunication Engineering, Ramakrishna Mission Shilpapitha, WBSCTE

Areas of Specialization: Communication Network, Internet of Things, Explainable AI, Machine Learning

Teaching Experience: 3 years

Research Experience: 4 years

Publications:

- 2 conference presentations

Contact Information:

- Email: aritra.s@snuniv.ac.in
- LinkedIn: https://www.linkedin.com/in/hypnoticapollo/

- ResearchGate: https://www.researchgate.net/profile/Aritra-Sinha-3

- GoogleScholar: https://scholar.google.com/citations?user=serxyv8AAAAJ&hl=en&oi=sra

 

Short Biography:

Aritra Sinha is an Assistant Professor in the Department of Computer Science at Sister Nivedita University. He brings over three years of teaching experience to undergraduate and postgraduate students, coupled with four years of dedicated research experience.

His academic foundation is strong, starting with a Diploma in Electronics and Telecommunication Engineering from Ramakrishna Mission Shilpapitha, WBSCTE. He then earned his B. Tech and M. Tech degrees in Electronics and Communication Engineering from MAKAUT, specializing in Mobile Communication & Network Technology for his Master's. Currently, Aritra is pursuing his Ph.D. in Electronics and Communication Engineering at the National Institute of Technology Mizoram.

Aritra's primary areas of specialization and research interest include Communication Networks, the Internet of Things (IoT), Explainable AI (XAI), and Machine Learning. His work focuses on integrating these fields to develop innovative and transparent technological solutions.

 

Kritanta Saha
Kritanta Saha

Assistant Professor - computer science engineering

Pursuing PhD at the Indian Statistical Institute, M.Tech. degree in Computer Science and Engineering from the University of Calcutta.

Email: kritanta.s@snuniv.ac.in


Kritanta Saha is an assistant professor in the Department of Computer Science and Engineering at Sister Nivedita University in Kolkata. He is also pursuing a PhD at the Indian Statistical Institute, focusing on Machine Learning Approaches in VLSI Physical Design Automation for Next Generation ICs. He has been awarded the TCS Research Scholar Program Scholarship (Cycle 15) from July 2019 to June 2023. He received his M.Tech. degree in Computer Science and Engineering from the University of Calcutta. Additionally, he holds an M.Sc. degree in Computer Science from Barrackpore Rastraguru Surendranath College and a B.Sc. honours degree in Computer Science from West Bengal State University. He qualified UGC NET for Assistant Professor in Computer Science and Applications in 2018 and cleared the GATE Examination in Computer Science and Information Technology in 2015.

Biswaroop Maiti
Biswaroop Maiti

Assistant Professor - computer science engineering

MS in Computer Science - Northeastern University

Email: biswaroop.m@snuniv.ac.in


Educational Qualifications:

- MS in Computer Science - Northeastern University

- MSc in Theoretical Computer Science - Chennai Mathematica Institute

- B.Tech. in Computer Science & Engineering - Institute of Engineering & Management

Areas of Specialization: Approximation Algorithms, Machine Learning, Bioinformatics & Computational Biology

Teaching Experience: 10 Years

Research Experience: 10 Years

Publications:

- 3 conference presentations

Awards & Recognitions:

- CMI Scholarship for National Postgraduate Programme in Mathematics, Northeastern University Dean's Fellowship.

Contact Information:

- Email: biswaroop.m@snu.ac.in

 

Short Biography

I study structures of protein molecules through the lens of Machine Learning and Mathematics. Previously, I have worked in Approximation Algorithms and various areas of Theoretical Computer Science. I have published in FOCS, Approx/Random. My work experience includes research & teaching as RA/TA at Northeastern University, research experience as a staff member at IIT Madras Department of Computer Science & Engineering, research internship at National University of Singapore, SAP Consultant in IBM Consulting. I have studied for an M.Sc. in Theoretical Computer Science from Chennai Mathematical Institute.

Arkaprava Das
Arkaprava Das

Assistant Professor - computer science engineering

M.Tech in CSE - MAKAUT (in-house)

Email: arkaprava.d@snuniv.ac.in


Educational Qualifications:

- M.Tech in CSE - MAKAUT (in-house)
- B.Tech in IT - Jalpaiguri Government Engineering College

Areas of Specialization: Machine Learning, Quantum Computing

Teaching Experience: 1 Years

Research Experience: 2 Years

Publications:

- 1 conference presentations

Contact Information:

- Email: arkaprava.d@snuniv.ac.in
- LinkedIn: https://www.linkedin.com/in/arkaprava-das-48533717a/

- GoogleScholar: https://scholar.google.com/citations?hl=en&authuser=3&user=oytSiA0AAAAJ

 

Short Biography:

He is an Assistant Professor in the Department of Computer Science and Engineering at Sister Nivedita University. His academic journey began with a B.Tech in Information Technology from Jalpaiguri Government Engineering College, followed by an M.Tech in Computer Science and Engineering from Maulana Abul Kalam Azad University of Technology. His research focuses on bioinformatics, particularly in the areas of disease prediction, cancer detection, and predicting protein-protein interactions using Graph Neural Networks (GNNs). Beyond his research, he has a strong background in Quantum computing, Machine Learning, Deep Learning, and Bioinformatics, having conducted multiple workshops in these areas. In addition to his academic pursuits, he is also a skilled MERN stack developer and Android app developer, which allows him to bridge the gap between theoretical research and practical application. He is dedicated to contributing to advancements in both academic and industry.

Pritam Goswami
Pritam Goswami

Assistant Professor - computer science engineering

B.Sc. in Mathematics from Ramakrishna Mission Residential College (2015) and M.Sc. in Pure Mathematics from the University of Calcutta (2017)

Email: pritam.g@snuniv.ac.in


Educational Qualifications:

- Ph.D pursuing in Mathematics - Jadavpur University
- M.Sc in Pure Mathematics- University of Calcutta
- B.Sc in Mathematics-Ramakrishna Mission Residential College Narendrapur (Autonomous)

Areas of Specialization: Mobile Agent Algorithm, Distributed Graph Algorithms, Graph Theory, Discrete Mathematics

Teaching Experience: 1 Years

Research Experience: 6 Years

Publications:

- 6 research papers in peer-reviewed journals
- 15 conference presentations

Awards & Recognitions:

- Research Recognition: Best Student Paper in ICDCIT, 2024; research visit in university of Clermont Auvergene, France, paper presented in B tier conference OPODIS, 2024 in Italy.

 

- Fellowship: All India rank 90 in UGC-CSIR NET in Mathematical Science.

Contact Information:

- Email: pritam.g@snuniv.ac.in
- LinkedIn: https://in.linkedin.com/in/pritam-goswami-b6a36b229

- ResearchGate: https://www.researchgate.net/profile/Pritam-Goswami-3

- GoogleScholar: https://scholar.google.com/citations?user=Isw01JAAAAAJ&hl=en

 

Short Biography

Mr. Pritam Goswami is an Assistant Professor in the Department of Computer Science and Engineering at Sister Nivedita University. He holds a B.Sc. in Mathematics from Ramakrishna Mission Residential College and an M.Sc. in Pure Mathematics with a specialization in cryptography from the University of Calcutta. After a brief stint as a Backend Java Developer at Tata Consultancy Services, he started pursuing a Ph.D. at Jadavpur University, focusing on distributed algorithms for mobile agents and swarm robotics—an interdisciplinary field at the intersection of mathematics and computer science. He has published in SCIE-indexed journals and presented at reputed conferences such as OPODIS, SSS, SAND, ICDCN, ICARA, and ICDCIT. Mr. Goswami has delivered invited talks internationally, including at the University of Clermont Auvergne, France and IMT, Lucca, Italy. He also presented research at IIT Kanpur in an invited talk.

Dr. Sayani Mondal
Dr. Sayani Mondal

Assistant Professor - computer science engineering

Ph. D.

Email: sayani.m@snuniv.ac.in


Educational Qualifications:

- Ph.D. in  Computer Science - INDIAN INSTITUTE OF TECHNOLOGY KHARAGPUR
- M.Tech in Information and Communication Technology - INDIAN INSTITUTE OF TECHNOLOGY KHARAGPUR

- B.TECH in COMPUTER SCIENCE AND ENGINEERING - MAULANA ABUL KALAM AZAD UNIVERSITY OF TECHNOLOGY (Formerly known as WBUT)

Areas of Specialization: SOFTWARE ENGINEERING, MACHINE LEARNING, NLP

Teaching Experience: 9+ Years

Research Experience: 6 Years

Publications:

- 1 research papers in peer-reviewed journals
- 9 conference presentations
- 0 Book Titles

- 0 Patents

Awards & Recognitions:

- Best Paper Award in 2nd International Symposium on Artificial Intelligence 2025 in the Symposium Track "AI in Information Security" for presentation and contribution of research paper entitled "Sentiment Analysis of Bengali Literature using NLP".

Contact Information:

- Email: sayani.m@snuniv.ac.in
- LinkedIn: https://www.linkedin.com/in/sayani-mondal-b8146236

- GoogleScholar: https://scholar.google.co.in/citations?user=OTpaGusAAAAJ&hl=en

 

Short Biography

Dr. Sayani Mondal holds a B.Tech degree in Computer Science from West Bengal University of Technology, an M.Tech from the Indian Institute of Technology (IIT) Kharagpur, and a Ph.D. from IIT Kharagpur, completed in 2022. Along with approximately nine years of teaching experience, she has gained knowledge and explored the fields of Software Engineering, Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP). Dr. Mondal has authored articles published in conferences and journals, reflecting her contribution to technological advancement.

Ditu Barai
Ditu Barai

Assistant Professor - computer science engineering

M.Tech / M.E.

Email: ditu.b@snuniv.ac.in


Educational Qualifications:

- M.Tech. in Computer and Technology, Jadavpur University

- B.Tech in Computer Science & Engineering - Calcutta Institute of Technology

Areas of Specialization: Natural Language Processing, Machine Learning

Teaching Experience: 4 Years

Contact Information:

- Email: ditu.b@snuniv.ac.in
- LinkedIn: www.linkedin.com/in/ditu-barai-727bb7264

 

Short Biography

Ditu Barai is an Assistant Professor in the Department of Computer Science and Engineering at Sister Nivedita University (Techno India Group), Kolkata, India. Prior to that, he was associated with Brainware University, Kolkata and Techno Main Salt Lake, Kolkata.

Ditu Barai has completed B.Tech in Computer Science and Engineering from Calcutta Institute Of Technology and M.Tech in Computer Science and Technology from Jadavpur University.

Santlal Prajapati
Santlal Prajapati

Assistant Professor - computer science engineering

M.Tech / M.E.

Email: santlal.p@snuniv.ac.in


Educational Qualifications:

- Ph.D. in " Synthesis of Neuromorphic Computing Circuits with Memristive Crossbars" (Pursuing) - ISI, Kolkata, India.
- M.Tech in Computer Science and Engineering - Jadavpur University
- B. Tech in Computer Science and Engineering - Academy of Technology

Areas of Specialization: Neuromorphic Computing, Artificial Intelligence, Data Structure and Algorithm

Teaching Experience: 3 Years

Research Experience: 6 Years

Publications:
- 1 Conference presentations

Awards & Recognitions:

- UGC-net, ISI JRF, Gate, ACM India Anveshan Setu Fellowship-2024

Professional Memberships:

-IEEE

 

Contact Information:

- Email: santlal.p@snuniv.ac.in
- LinkedIn: https://www.linkedin.com/in/santlal-prajapati-5b11041a3/

- ResearchGate: https://www.researchgate.net/profile/Santlal-Prajapati?ev=hdr_xprf

- Google Scholar: https://scholar.google.com/citations?user=Nd99qJsAAAAJ&hl=en

 

Short Biography

Santlal Prajapati is an Assistant Professor in the Department of Computer Science and Engineering at Sister Nivedita University, Kolkata, India. He holds a B.Tech. in Computer Science and Engineering from the Academy of Technology (2012) and an M.E. from Jadavpur University (2015) in the same field. He had been to Indian Statistical Institute, Giridih, Jharkhand to teach a PGDCA course for nearly three years. He is currently pursuing his Ph.D. at the Indian Statistical Institute, with a focus on Synthesis of Neuromorphic Computing Circuits with Memristive Crossbars. His research interests include emerging non-volatile memory technologies, in-memory computing, and neuromorphic systems.

 

Dr. Raina Paul
Dr. Raina Paul

Assistant Professor - computer science engineering

PhD. in Computational Geometry-Indian Institute of Engineering Science and Technology

Email: raina.p@snuniv.ac.in


Educational Qualifications:

- PhD. in Computational Geometry-Indian Institute of Engineering Science and Technology

- M.Tech in Computer Science and Engineering - Kalyani University
- B.tech in Information Technology- MAKAUT(formerly WBUT)

Areas of Specialization: Data Structure, Algorithms, Computational & Digital Geometry, Data Science

Teaching Experience: 3 Years

Research Experience: 9 Years

Publications:

- 2 research papers in peer-reviewed journals
- 7 conference presentations
- 1 Book Titles

Contact Information:

- Email: raina.p@snuniv.ac.in
- LinkedIn: https://www.linkedin.com/in/raina-paul-00802b93/

- GoogleScholar: https://scholar.google.com/citations?user=DFmYlpkAAAAJ&hl=en

 

Short Biography

She completed her PhD. in Engineering from IIEST, Shibur in 2023. Has published works in reputed SCI/SCIE journals and international conferences. Her research interest are Computational geometry, Algorithms and analysis, Theoretical computer science, Natural language processing, Data analysis.

Laboni Saha
Laboni Saha

Assistant Professor - computer science engineering

M.Tech in Computer Science and Engineering from RCC Institute of Information Technology

Email: laboni.s@snuniv.ac.in


Laboni Saha is an Assistant Professor in the Department of Computer Science and Engineering at Sister Nivedita University, Kolkata. She holds an M.Tech in Computer Science and Engineering from RCC Institute of Information Technology and a B.Tech from Supreme Knowledge Foundation Group of Institutions. With teaching experience across institutions such as Brainware University, Kalinga University, and Techno Main Salt Lake, she has handled core subjects including Operating Systems, DBMS, Computer Networks, and Python programming. Her current research focuses on image processing and audio pattern recognition, where she is exploring innovative techniques for signal interpretation and pattern detection. Laboni has presented her work on optical circuit design at the AISP 2022 international conference and is a UGC-NET qualified academician. Dedicated to academic excellence and research-driven teaching, she is passionate about guiding students and contributing to advancements in intelligent systems and computational analysis.

Dr. Satakshi Ghosh
Dr. Satakshi Ghosh

Assistant Professor - computer science engineering

PhD in Mathematics from Jadavpur university, M.Sc in Mathematics from Jadavpur University

Email: satakshi.g@snuniv.ac.in


Educational Qualifications:

- PhD (Mathematics)  -Jadavpur University
- Msc. (Mathematics) - Jadavpur University
- Bsc. (Mathematics) - Jadavpur University

Areas of Specialization: Graph Theory, Distributed Computing, Swarm Robotics

Teaching Experience: 1.5 years

Research Experience: 7 Years

Publications:

- 6 research papers in peer-reviewed journals

- 8 conference presentations

Awards & Recognitions:

- GATE 2018 Qualified

- INSPIRE SHE Scholarship awarded - 2011

 

Contact Information:

- Email: satakshi.g@snuniv.ac.in

- ResearchGate: https://www.researchgate.net/profile/Satakshi-Ghosh?ev=hdr_xprf

- GoogleScholar: https://scholar.google.com/citations?user=ffiCU3lw-kQC&hl=en

 

Short Biography:

Satakshi Ghosh completed her BSc and MSc in Mathematics from Jadavpur University in 2014 and 2016, respectively. She then pursued her PhD in Mathematics from the same university, completing it in 2024. Her research focused on swarm robotics and distributed computing. With several journal and conference papers to her credit, Satakshi has also worked as a contractual faculty at IIIT Bhubaneswar from January 2024 to May 2025. She joined as an Assistant Professor in the Department of Computer Science and Engineering at Sister Nivedita University in June 2025.

Dr. Bidyut Saha
Dr. Bidyut Saha

Assistant Professor - computer science engineering

PhD in Computer Science and Engineering, Indian Institute of Technology Kharagpur, 2025

Email:


Educational Qualifications:

-  PhD in Computer Science and Engineering, Indian Institute of Technology Kharagpur, 2025
-  M.Tech in Computer Science and Engineering, University of Calcutta, 2020
-  Post B.Sc B.Tech in Computer Science and Engineering, University of Calcutta, 2016

B.Sc Computer Science Honours, University of Calcutta, 2013

 

Areas of Specialization: Edge AI, Embedded AI, TinyML, Generative AI, Machine Learning, Deep Learning, and Internet of Things (IoT)

Teaching Experience:  Over five months of teaching experience at the undergraduate and postgraduate levels, and four years of experience as a Teaching Assistant at the Indian Institute of Technology Kharagpur.

Research Experience:  5  years of research experience

Industry  Experience:  2 years of Software Developer  at TCS.

Publications:

- 2 research papers in peer-reviewed journals

- 10 conference presentations

- 1 Patents (published)

Awards & Recognitions:

-  2 Best Research Paper Awards

-  1  Special Mention in a Research Symposium

-  1 product Development Grant

-  Gate 2018

Professional Memberships:

- IEEE and ACM student Account

Contact Information:

- Email: sahabidyut999@gmail.com
- LinkedIn: https://www.linkedin.com/in/sahabidyut/

- ResearchGate: https://www.researchgate.net/profile/Bidyut-Saha-3

- GoogleScholar: https://scholar.google.com/citations?user=o_jdVncAAAAJ&hl=en

 

Short Biography:

Dr. Bidyut Saha is an Assistant Professor in the Department of Computer Science and Engineering at Sister Nivedita University. He  earned  his  Ph.D. from  IIT Kharagpur, focusing on TinyML, Embedded AI, and Edge Intelligence for real-time, low-power, and privacy-preserving machine learning in resource-constrained environments.

 

He has developed end-to-end on-device AI systems for resource constrained systems, including wearables for activity and gesture recognition, MCU-based face tracking, offline LLM-powered chatbots, and edge-based models for plant disease and disaster detection.

Dr. Saha has prior experience at IIT Jodhpur (DRDO project) and TCS, and holds a B.Sc., B.Tech, and M.Tech in CSE from the University of Calcutta.

With over a dozen publications in premier conferences and journals—including IEEE COMSNETS, ACM AI-ML Systems, IEEE Consumer Electronics Magazine, IEEE Embedded Systems Letters, and ICDCN—his research focuses on Generative AI, TinyML, Edge AI, and Computer Vision for low-cost, low-power, on-device AI systems that are privacy-preserving and  sustainable.

Indrani Modak
Indrani Modak

Assistant Professor - computer science engineering

PhD (Mathematics) – Jadavpur University (Thesis submitted)

Email: indrani.m@snuniv.ac.in


Educational Qualifications:

- PhD (Mathematics) – Jadavpur University (Thesis submitted)

- M.Sc (Applied Mathematics) – University of Kalyani

- B.Sc (Mathematics) – University of Kalyani

Areas of Specialization: Operation Research

Teaching Experience: 3 months

Research Experience: 4 years

Publications: 8

Awards & Recognitions:

- LS (through NET) (2019)

- Junior Research Fellowship (through NET) (2020)

- GATE (2020)

Professional Memberships:

-Operational Research Society of India (Membership No: 1621/I/25/ML)

Contact Information:

- Email: indrani.m@snuniv.ac.in
- LinkedIn: https://www.linkedin.com/in/indrani-modak-546aaa201/?originalSubdomain=in

- ResearchGate: https://www.researchgate.net/profile/Indrani-Modak

- GoogleScholar: https://scholar.google.com/citations?user=lpSAtLcAAAAJ&hl=en

 

Short Biography:

Indrani Modak completed her BSc and MSc in Mathematics from the University of Kalyani in 2018 and 2020, respectively. She pursued her PhD in Mathematics at Jadavpur University, submitting her thesis in June 2025. Her doctoral research focused on developing efficient pricing strategies for deterministic and stochastic inventory and supply chain models. Indrani has published her work in reputed journals such as the Journal of Cleaner Production, IMA Journal of Management Mathematics, and Journal of System Science: Operations & Logistics. She has presented her work at numerous national and international conferences and have joined as an Assistant Professor in the Department of Computer Science and Engineering at Sister Nivedita University in July 2025. 

Arijit Paul
Arijit Paul

Academic Instructor - computer science engineering

M.Tech (CSE) – MAKAUT University

Email: arijit.p@snuniv.ac.in


Educational Qualifications

- M.Tech (CSE) – MAKAUT University
- B.Tech (CSE) – MAKAUT University

 

Areas of Specialization: AI, ML, Data Analytics, Deep Learning, Machine Learning

Teaching Experience: 10 Months

Research Experience: 1 Year

 Publications:


 -1 Book Chapters

Contact Information:

- Email: arijit.p@snuniv.ac.in

 - Linkedin: https://www.linkedin.com/in/arijit-paul-3aa3031a5

 

Short Biography

Arijit Paul holds a B.Tech in Computer Science and an M.Tech in Artificial Intelligence both from MAKAUT. He began his career as a Machine Learning intern at WEBEL, a Government of West Bengal initiative. He later joined Ideal Institute of Engineering, affiliated with MAKAUT, as an Assistant Professor in the Computer Science and Engineering department. Currently, he is serving as an Academic Instructor at Sister Nivedita University. His research interests lie in Machine Learning, Deep Learning, and Natural Language Processing.

Chandra Karmakar
Chandra Karmakar

Academic Instructor - computer science engineering

M.Tech in [ Computer Science & Engineering (Artificial intelligence) ] -[ MAKAUT]

Email: chandra.k@snuniv.ac.in


Educational Qualifications: 

-  M.Tech in [ Computer Science & Engineering (Artificial intelligence) ] -[ MAKAUT]    
- M.Sc. in [ Computer Science] - [MAKAUT]

- B.Sc. in [Computer Application]-[ WBSU]

Areas of Specialization: Computer Vision, Satellite Image Processing, Machine Learning, and Deep Learning.

Teaching Experience: 3 Years

Contact Information:

- Email: chandra.k@snuniv.ac.in
- LinkedIn: www.linkedin.com/in/chandra -karmakar-1278821b6

 

Short Biography:

- Ms. Chandra Karmakar is an academic professional in Computer Science and Engineering. She holds a B.Sc. in Computer Application from Sarojini Naidu College for Women (State University), an M.Sc. in Computer Science from the Institute of Engineering and Management (MAKAUT), and an M.Tech in Computer Science and Engineering (Artificial Intelligence) from RCC Institute of Information Technology (MAKAUT).

She has over three years of teaching experience at the National Institute of Electronics & Information Technology (NIELIT), where she taught CCC, O-Level, and A-Level courses. Currently, she serves as an Academic Instructor at Sister Nivedita University.

Her research interests include Computer Vision, Satellite Image Processing, Machine Learning, and Deep Learning, with a focus on applying Artificial Intelligence to remote sensing and environmental studies.

 

Masum Alam
Masum Alam

Academic Instructor - computer science engineering

M.Tech (CSE)- Kalyani Government Engineering College

Email: masum.a@snuniv.ac.in


Educational Qualifications:

M.Tech (CSE)- Kalyani Government Engineering College
B.Tech (CSE)- Government College of Engineering and Leather Technology

Areas of Specialization: Machine Learning, Transfer Learning, Software Engineering.

Teaching Experience: 1 month

Contact Information:

- Email: masum.a@snuniv.ac.in

 

Short Biography:

Masum Alam is currently serving as an Academic Instructor in the Department of Computer Science and Engineering at Sister Nivedita University, since September 2025. He holds an M.Tech in Computer Science and Engineering (2025) from Kalyani Government Engineering College and a B.Tech in Computer Science and Engineering (2023) from Government College of Engineering and Leather Technology. His academic interests include Software Engineering, Transfer Learning and Machine Learning. He is presently engaged in teaching Software Engineering and Software Engineering Lab to undergraduate students. With a strong passion for teaching and research, he strives to create an engaging learning environment that connects theoretical concepts with practical applications.

Susmita Sen
Susmita Sen

Technical Assistant - computer science engineering

M.Sc (CS)

Email: susmita.se@snuniv.ac.in


Ms. Susmita Sen is presently working as a Technical Assistant in the Department Of Computer Science at Sister Nivedita University, Kolkata. She has completed the Master of Science in Computer and Information Science from University of Calcutta in 2019. She also received the graduation in Computer Science from Acharya Prafulla Chandra College in 2017. Her Teaching experience Comprises above 4 years and 08 months.

Professional Profile: LinkedIn

Anjan Sar
Anjan Sar

Technical Assistant - computer science engineering

B.SC, Post Graduate Diploma in Computer Application, DOEACE O Level

Email: anjan.s@snuniv.ac.in


Anjan Sar is a Technical Assistant at Sister Nivedita University with over 15 years of experience in engineering tools, lab management, and technical instruction. He holds a Bachelor of Science from Burdwan University and Post Graduate Diploma in Computer Application from Alagappa University . Passionate about supporting innovation and education, Anjan is known for his problem-solving skills, attention to detail, and commitment to staying updated with the latest in engineering technology.

Pourabi Sengupta
Pourabi Sengupta

Technical Assistant - computer science engineering

B.Tech

Email: pourabis@technoindiagroup.in


Kaushik Dey
Kaushik Dey

Technical Assistant - computer science engineering

B.Tech

Email: kaushikdey@technoindiagroup.in


I am Kaushik Dey.I have graduated from Siliguri Institute of Technology in Computer Science and Engineering. I have joined SNU as Technical Assistant on 21st August,2021

Biswajit Saha
Biswajit Saha

Technical Assistant - computer science engineering

B.Tech In CSE

Email: biswajit.s@snuniv.ac.in


I am currently working as a Technical Assistant in the Department Of Computer Science at Sister Nivedita University, Kolkata. I have completed B.Tech in Computer Science and Engineering from the University of Calcutta in the year 2019. I have also completed B.Sc (Hons) in Computer Science from University of Calcutta in the year 2016.I have 3 years of experience as a System Engineer at TCS and also have 1 years of experience as a Technical Assistant at SNU.

Debrup Mitra
Debrup Mitra

Technical Assistant - computer science engineering

BCA from UEM and MCA securing 1st position (Gold medalist), from Sister Nivedita University.

Email: debrup.m@snuniv.ac.in


LinkedIn: https://www.linkedin.com/in/debrup-mitra-8965a0231/

Educational Qualifications:

MCA - SNU
BCA - UEM

Teaching Experience: 2+ years (Ongoing)

Debrup Mitra is a Technical/Teaching Assistant at Sister Nivedita University (SNU) Kolkata, India.  He received his BCA from UEM and MCA securing 1st position (Gold medalist), from Sister Nivedita University. His interests include C, Python & Software Engineering.

Mrinmay Deb
Mrinmay Deb

Technical Assistant - computer science engineering

MCA

Email: mrinmay.de@snuniv.ac.in


Mrinmay Deb is a distinguished IT professional with over 12 years of experience in both academia and industry. He holds a Bachelor of Computer Applications (BCA) and a Master of Computer Applications (MCA). Mrinmay has a robust background that bridges theoretical knowledge and practical application, making significant contributions to technological advancements and academic research. His extensive expertise and commitment to excellence have made him a respected figure in the tech community.

Supriya Dana
Supriya Dana

Technical Assistant - computer science engineering

B.Sc in Computer Science Honours from the University of Calcutta in the year 2021.

Email: supriya.d@snuniv.ac.in


I am currently working as a Technical Assistant in the Department of Computer Science at Sister Nivedita University, Kolkata. I have completed B.Sc in Computer Science Honours from the University of Calcutta in the year 2021. I have more than 1 years  experience as a System Engineer at WIPRO and also have more than 2 years experience as a Technical Assistant at SNU.

Sweety Pal
Sweety Pal

Technical Assistant - computer science engineering

B.Tech / B.E.

Email: sweety.p@snuniv.ac.in


I am a Computer Science and Engineering graduate (B.Tech, 2024) from the Government College of Engineering and Leather Technology (GCELT), Kolkata. Hailing from Purba Burdwan, I have consistently maintained a strong academic record and a deep interest in software development, data structures, and problem-solving.

Currently, I am working as a Teaching Assistant at Sister Nivedita University, where I support faculty in academic activities, assist in lab sessions, and provide guidance to students. This role has enhanced my communication, leadership, and mentoring skills while allowing me to stay closely engaged with academic and technical advancements.

During my undergraduate studies, I participated in various coding competitions, technical events, and collaborative projects, which sharpened my practical and analytical abilities. I am passionate about leveraging technology to solve real-world problems and am committed to continuous learning and growth in the field of computer science.

I am now seeking new opportunities to contribute my skills and grow further in the tech industry.

Krishnendu Saha
Krishnendu Saha

Technical Assistant - computer science engineering

BTECH (IT) - MAKAUT

Email: krishnendu.s@snuniv.ac.in


Educational Qualifications:

BTECH (IT) - MAKAUT

Areas of Specialization: CORE JAVA, Data Structure,Oracle SQL/PLSQL, CN

Teaching Experience: 8 years

Contact Information:

 Email: krishnendu.s@snuniv.ac.in

Short Biography:

Krishnendu Saha is a dedicated academic and technical professional with over 12 years of combined experience in industry and academia. He currently serves as a Technical Assistant at Sister Nivedita University (SNU), where he supports laboratory operations, academic coordination, and technical infrastructure.

Previously, he worked as a Lecturer and Head of Department at a reputed diploma engineering college, where he contributed to curriculum development, student mentoring, and academic leadership. He was also actively involved in the Examination Cell and various administrative functions.

Mr. Saha began his career in the engineering industry, gaining practical experience that he now integrates into his academic roles to enhance student learning and skill development.

With a strong foundation in engineering and a commitment to educational excellence, he continues to contribute to bridging the gap between theoretical knowledge and practical application in the field of technical education.

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CoursesFee During Admission (Including 1st Semester Fee / 1st installment for annual scheme)Fee 2nd semester / 2nd installment onwardsProgram Fees Total
B.Tech (CSE) (Honours / Honours with Research)152644113644948150
B.Tech (CSE) (Artificial Intelligence and Machine Learning) (Honours / Honours with Research)152644113644948150
B.Tech (CSE) (Internet of Things) (Honours / Honours with Research)152644113644948150
B.Tech (CSE) (Cyber Security) (Honours / Honours with Research)152644113644948150
B.Tech (CSE) (Data Science) (Honours / Honours with Research)152644113644948150
B.Tech (CSE) (Lateral) (Honours / Honours with Research)142000103000657000
M.Tech (CSE)142500103500453000
Ph.D. (CSE) (Full Time / Part Time)9025070000480250

 

SNU SchoolDepartmentCourseCurriculum Structure & Syllabus
School of Science & TechnologyComputer Science EngineeringB.Tech (CSE) (Honours / Honours with Research)Click To View
School of Science & TechnologyComputer Science EngineeringB.Tech (CSE) (Artificial Intelligence and Machine Learning) (Honours / Honours with Research)Click To View
School of Science & TechnologyComputer Science EngineeringB.Tech (CSE) (Internet of Things) (Honours / Honours with Research)Click To View
School of Science & TechnologyComputer Science EngineeringB.Tech (CSE) (Cyber Security) (Honours / Honours with Research)Click To View
School of Science & TechnologyComputer Science EngineeringB.Tech (CSE) (Data Science) (Honours / Honours with Research)Click To View
School of Science & TechnologyComputer Science EngineeringB.Tech (CSE) (Lateral) (Honours / Honours with Research)Click To View
School of Science & TechnologyComputer Science EngineeringM.Tech (CSE)Click To View
School of Science & TechnologyComputer Science EngineeringPh.D. (CSE) (Full Time / Part Time)Click To View
SNU SchoolDepartmentCourseTime Table
SNU SchoolDepartmentCourseOBE Framework
School of Science & TechnologyComputer Science EngineeringB.Tech (CSE) (Honours / Honours with Research)Click To View
School of Science & TechnologyComputer Science EngineeringB.Tech (CSE) (Artificial Intelligence and Machine Learning) (Honours / Honours with Research)Click To View
School of Science & TechnologyComputer Science EngineeringB.Tech (CSE) (Internet of Things) (Honours / Honours with Research)Click To View
School of Science & TechnologyComputer Science EngineeringB.Tech (CSE) (Cyber Security) (Honours / Honours with Research)Click To View
School of Science & TechnologyComputer Science EngineeringB.Tech (CSE) (Data Science) (Honours / Honours with Research)Click To View
School of Science & TechnologyComputer Science EngineeringB.Tech (CSE) (Lateral) (Honours / Honours with Research)Click To View

SNU students clinched 2nd place (winning Rs.1.3L) at Core Hacker House India 2025 with their DeFi project CORO TASHI, showcasing excellence in Web3 & blockchain

SNU students clinched 2nd place (winning Rs.1.3L) at Core Hacker House India 2025 with their DeFi project CORO TASHI, showcasing excellence in Web3 & blockchain

?? Congratulations to Our Champions at Core Hacker House India 2025! ??
Our students secured 2nd place, winning $1,500 in CORE tokens (?1.3L) at Core Hacker House India 2025 (March 17-21, Bangalore)! Selected from 600+ applicants, they competed among 22 teams on Demo Day with their project CORO TASHI, a DeFi staking platform for CORE & WBTC (TBTC) in the CoreDAO ecosystem. ??
Team PepSiCola.kulfi:
• Manobendra Mandal (BCA 3rd Year) – Leader
• Kaushik Samadder (B.Tech CSE 2nd Year)
• Debanjan Mondol (B.Tech CSE 2nd Year)
This marks Manobendra’s second offline hackathon victory, mentoring juniors to success, and showcasing SNU’s excellence in Web3, AI & blockchain!

SNU shines at BRICS Skills Competition 2024 with Soumedhik Bharti & Eshita Kundu winning 2nd prizes, Jishnu Baruah securing 3rd, and Dr. Indranil Sarkar honored as - Excellent Guidance Expert'

SNU shines at BRICS Skills Competition 2024 with Soumedhik Bharti & Eshita Kundu winning 2nd prizes, Jishnu Baruah securing 3rd, and Dr. Indranil Sarkar honored as - Excellent Guidance Expert

We are overjoyed to announce an extraordinary achievement by our talented students at the BRICS Skills Competition in China!
The grand finale began with a mesmerizing showcase of Chinese cultural heritage, where participants from across the globe immersed themselves in the rich traditions and artistry of the host nation.
And then came the moment of glory! ??
Celebrating our Champions:
Mr. Soumedhik Bharti - 2nd Prize??
Mr. Jishnu Baruah - 3rd Prize??
Ms. Eshita Kundu - 2nd Prize?? (Online Category)
Adding to our pride, our outstanding mentor Dr. Indranil Sarkar has been honored with the prestigious ‘Excellent Guidance Expert' award for his exemplary mentorship! ??
This remarkable achievement on an international platform reflects the dedication, talent, and relentless pursuit of excellence by our students and faculty. Sister Nivedita University stands proud of these extraordinary accomplishments!
Here's to many more such victories in their future endeavors! ??

Team Nerdscript Ninjas (Raj Sharma, Mouli Chakraborty, Manobendra Mondal & Farhan Asad) from SNU's Computer Science Dept. emerged winners in the Anon Aadhaar Track at Hacker House Goa hackathon

Team Nerdscript Ninjas (Raj Sharma, Mouli Chakraborty, Manobendra Mondal & Farhan Asad) from SNU

??????Congratulations to team Nerdscript ninjas:??????
1.Raj Sharma(3rd Year Btech)
2.Mouli Chakraborty(3rd year Btech)
3.Manobendra Mondal(3rd Year BCA)
4.Farhan Asad(3rd Year Btech)
The students of Department of Computer Science has added another feather to its cap by
being winners of the Anon Aadhaar Track in the recently held Hacker House Goa hackathon????????

SNU's 'Generative Solutions' team (Soumedhik Bharati, Sohoomlal Banerjee, Archisman Ray) secured top honors among 400+ teams at SIT ICOE Hackathon with their bidirectional LSTM-based essay grading system

SNU

In the SIT ICOE Hackathon, the 'Generative Solutions' team from Sister Nivedita University secured a top position among over 400 participating teams. Their project, addressing the topic of explanatory essay grading system, utilized bidirectional LSTM technology. With team members Soumedhik Bharati, Sohoomlal Banerjee, and Archisman Ray, they earned recognition for their innovative solution.
Congratulations All ??
It is the great initiative of IIC, Ina Madam & Saikat Sir. Without them it couldn't be possible.

Heartfelt congratulations to our students for successfully securing internships. Keep shining and learning!

https://www.facebook.com/reel/1220592753055260

We are thrilled to share that Mitra Brinda Mukherjee and Avinabh Sah, brilliant third-year B.Tech CSE students have been selected to participate in the prestigious Texas A&M Summer Research Program 2025

We are thrilled to share that Mitra Brinda Mukherjee and Avinabh Sah, brilliant third-year B.Tech CSE students have been selected to participate in the prestigious Texas A&M Summer Research Program 2025

We are thrilled to share that Mitra Brinda Mukherjee and Avinabh Sah, brilliant third-year B.Tech CSE students from the Department of Computer Science and Engineering, Sister Nivedita University, have been selected to participate in the prestigious Texas A&M Summer Research Program 2025, scheduled from 20th May to 31st July 2025. ??????
This incredible opportunity is a testament to their dedication, perseverance, and academic excellence. As they embark on this exciting international research journey, we send them our warmest congratulations and best wishes for
?? A safe journey
?? A successful internship
?? A truly enriching experience
May this global exposure pave the way for new knowledge, innovation, and meaningful collaboration.
?? Bon Voyage and Best of Luck! ??
— Department of Computer Science and Engineering, Sister Nivedita University

 

BRICS Skills Competition 2025 – A Proud Moment for Sister Nivedita University

BRICS Skills Competition 2025 – A Proud Moment for Sister Nivedita University

???? BRICS Skills Competition 2025 – A Proud Moment for Sister Nivedita University ????

The BRICS Skills Competition is an international platform that unites young innovators and professionals from the five BRICS nations — Brazil, Russia, India, China, and South Africa — to promote excellence in technical skills, innovation, and cross-cultural collaboration. The competition encourages participants to demonstrate expertise in cutting-edge domains such as Artificial Intelligence, Data Science, Cybersecurity, and more, fostering global skill development and knowledge exchange.

? Outstanding Achievement by Sister Nivedita University Students!

We are proud to share that students from Sister Nivedita University have made the entire nation proud at the BRICS Skills Competition 2025, held in China from 2nd to 6th November 2025 in the Data Analysis and Visualization category, which saw participation from 237 contestants across BRICS nations and beyond.

?? Offline Mode Achievements:
?? First Prize – Sneha Kundu (3rd Year, B.Tech CSE)
?? Second Prize – Shibam Mandal (2nd Year, B.Tech CSE – AIML)

?? Online Mode Achievements:
?? Second Prize – Tunir Adhikary and Saikat Pradhan (3rd Year, B.Tech CSE)
?? Third Prize – Ahana Dasgupta (3rd Year, B.Tech CSE)

????? Faculty Recognition:
Dr. Indranil Sarkar (Associate Professor, CSE) and Dr. Sayani Mondal (Assistant Professor, CSE) were honored with the “Excellent Expert” Award for their exceptional mentorship and guidance.

?? This remarkable achievement highlights SNU’s commitment to nurturing innovation, excellence, and global competitiveness in emerging technologies.
Heartiest congratulations to our winners and mentors for making India proud! ??????


BITS N BYTES

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Kajal Jaiswal - Amazon

Kajal Jaiswal - Amazon

Swarna jha - Fractal Analytics

Swarna jha - Fractal Analytics

ROOPAM MAZUMDER - MICROSOFT

ROOPAM MAZUMDER - MICROSOFT

Aparup Ganguly - Firecrawl

Aparup Ganguly - Firecrawl

Ankana Chakraborty - Microsoft, TCS

Ankana Chakraborty - Microsoft, TCS

Bridging Innovation: Engineering & Technology in the 21st Century School of Engineering SNU

SNU delegation strengthens Indo-China academic ties

SNU delegation strengthens Indo-China academic ties

 

Strengthening Indo-China Academic Ties! SVCIT China Visit Introductory Phase??
We are thrilled to share the success of Sister Nivedita University’s recent visit to SVCIT China, where our esteemed delegation, including Dr. Dhrubajyoti Chattopadhyay (Vice Chancellor, SNU), Dr. Summauli Pyne (Director of Global Affairs, SNU), Dr. Swarup Kumar Ghosh, and Dr. Anirban Mitra (Head of Computer Science,SNU had an inspiring and impactful exchange with the academic leaders of SVCIT.
The delegation had the privilege of meeting with President Mr. Hen Pen, Vice President Mr. Mu Zhonghu, Vice Director Fang Rui, Deputy Secretary Mr. Liu Kai, and the distinguished Deans and Directors of SVCIT. This productive meeting focused on strengthening collaboration and fostering new avenues for India-China Academic Exchange.
Our faculty members also had the opportunity to engage with SVCIT students and faculty in interactive classroom sessions, which received an overwhelming response. This enthusiastic participation and warm acknowledgment from students and faculty alike reflect the shared commitment to learning, cultural exchange, and global academic development.
Here's to a promising future of collaborative growth and innovation between Sister Nivedita University and SVCIT China! ????

 

SNU's Computer Science Dept. hosted Prof. Rajesh Iyer (Bradley University)

SNU

?? An Inspiring Session on Higher Studies in the USA ??
The seminar hall at Sister Nivedita University came alive with excitement on 4th December 2024, as students gathered for the much-anticipated session titled "Higher Studies in the USA". Organized by the Department of Computer Science, the event aimed to provide invaluable guidance to students aspiring to pursue advanced education in the United States.
The highlight of the event was the presence of Prof. Rajesh Iyer, a distinguished academic from Bradley University. With his warm and engaging approach, Prof. Iyer shared essential insights into various aspects of studying in the USA, including:
?? Choosing the right university
?? Preparing applications
?? Securing scholarships
?? Adapting to cultural differences
The interactive session was enriched with practical tips and real-life anecdotes from Prof. Iyer’s extensive teaching experience. Students eagerly took notes, asked thoughtful questions, and gained clarity on topics like visa processes, career opportunities, and coping with homesickness while abroad.
This inspiring session proved to be a transformative experience for many, igniting hope and providing actionable steps toward achieving their dreams of higher education in the USA.
Kudos to the Department of Computer Science for organizing such an impactful event! ??

 

SNU partners with Visteon Corp

SNU partners with Visteon Corp

?? Strengthening Industry-Academia Collaboration! ??
In a groundbreaking move to bridge the gap between academia and industry, Sister Nivedita University (SNU) has signed a *Memorandum of Understanding (MoU) with Visteon Corporation*, a global leader in automotive electronics! ??
The MoU, formalised at the Industry Connect Program on campus, marks the beginning of an exciting journey for our students, providing them with internships, live projects, workshops, and expert mentorship from Visteon’s industry leaders.
?? Dr. Sanku Bose, GCEO of Techno India Group, and Prof. Suman Chatterjee, Registrar of Sister Nivedita University, emphasised how this partnership will offer hands-on learning experiences to prepare students for evolving industry demands.
?? Mr. Raj Singh, Global CIO of Visteon Corporation, highlighted the importance of nurturing young talent and fostering innovation in automotive electronics.
The event featured *panel discussions, technical sessions, and networking opportunities, allowing students to connect with industry experts and explore **cutting-edge technological advancements*.
This collaboration is set to *open new avenues in research, development, and employment, ensuring **SNU students are future-ready!* ??
research, development, and employment avenues

 

SNU's Dept. of Computer Science hosted cybersecurity expert Mr. Suprotik Ghose (CISO, Graphene Security, USA)

SNU

?? Expert Talk on Cybersecurity Careers of the Future: A Huge Success! ????
The Department of Computer Science at Sister Nivedita University recently hosted an engaging Expert Talk on "Cybersecurity Careers of the Future: Expert Insights on Conquering the Challenges of the Next Decade" on 27th March 2025.
The event featured Mr. Suprotik Ghose, Chief Information Security Officer at Graphene Security, Inc., USA, who shared valuable insights into emerging trends, challenges, and career opportunities in cybersecurity. ????
?? Highlights:
? Interactive discussions on risk assessment, ethical hacking, data protection, and industry-specific cybersecurity needs.
? Fun and engaging examples of cybersecurity threats depicted in popular movies.
? Insightful discussions with Mr. Ghose, making learning both educational and entertaining.
The event was graced by esteemed dignitaries including Prof. Dr. Dhrubojyoti Chattopadhyay (Vice Chancellor), Prof. Dr. Sanku Bose (Group CEO), Prof. Supratim Sen (Pro Vice Chancellor), and Prof. Dr. Suman Chatterjee (Registrar).
?? Thank you to everyone who made this event a success!