Information
- Designation : Assistant Professor Grade-I
- Email : anupam@cse.nits.ac.in
- Phone :
Key Notes
- Conference: International - 4
- Journals: 27
- Conferences: 4
- Books: 10
- PhD: Guided: 11
- Post Graduates: Guided: 10
41
PUBLICATIONS11
DOCTORAL STUDENTS6
PROJECTSIntroduction [Biosketch]
- Dr. Anupam Biswas received his Ph.D. degree in computer science and engineering from Indian Institute of Technology (BHU), Varanasi, India in 2017. He has received his M. Tech. and B. E. Degree in computer science and engineering from Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India in 2013 and Jorhat Engineering College, Jorhat, Assam in 2011 respectively. He is currently working as an Assistant Professor in the Department of Computer Science & Engineering, National Institute of Technology Silchar, Assam. He has published 100+ research papers in reputed international journals, at conferences, and in book chapters. His research interests include Machine learning, Social Networks, Computational music, Information retrieval, and Evolutionary computation. He has successfully completed 04 sponsored research projects (03 as Principal Investigator and 01 as Co-Principal Investigator) and 02 sponsored research projects (one as PI and one as Co-PI) in the domain of AI/ML, which were sponsored by DST, SERB, ANRF, and MietY. He has served as Program Chair of International Conference on Big Data, Machine Learning and Applications (BigDML 2019) and Publicity Chair of BigDML 2021. He has served as General Chair of 25th International Symposium Frontiers of Research in Speech and Music (FRSM 2020) and co-edited the proceedings of FRSM 2020 published as book volume in Springer AISC Series. He has edited 10 books published by various Springer and Elsevier book series.
Areas of Interest
- Machine Learing
- Deep Learning
- Nature-inspired Optimization
- Social Network Analysis
- Natural Language Processing
- Image Processing
| Institution | Year | Degree |
|---|---|---|
| Indian Institute of Technology (BHU) Varanasi | 2017 | PhD |
| Motilal Nehru National Institute of Technology Allahabad | 2013 | MTech |
| Jorhat Engineering College | 2011 | BE |
Teaching Experience
National Institute of Technology Silchar
National Institute of Technology Silchar
National Institute of Technology Rourkela
Saifuddin Ahmed, Anupam Biswas, Abdul Kayom Md Khairuzzaman, Pooja Rai, Jahnavi Devi, Minara Khanam, Rehana Parbin, “An Experimentation of Firefly Algorithm Using a Different Set of Objective”, In Proceedings Advances in Distributed Computing and Machine Learning: Proceedings of ICADCML 2024, January 9th 2025 - January 10th 2025, 2025, Taiwan, Springer
Bijay Jiwrajka, Akash Suklabaidya, Arbi Chaliha and Anupam Biswas, “Recognition of Named Entities through Text Segmentation of Sanskrit Sentences”, In Proceedings 2025 IEEE International Conference for Women in Innovation, Technology & Entrepreneurship (ICWITE), September 26th 2025 - September 27th 2025, 2025, Bangaluru, Bharat, IEEE
Omer Rana, Abhilasha Sharma, Vishwas Rathi, Anupam Biswas, Anil Singh, “Multimedia and Multimodal AI in Precision Agriculture: Practices, Challenges, and Applications”, 2025
Satirtha Singha
Enrolled: 30 July 2024
Completed :
30 June 2026
Supervisor : Dr. Anupam Biswas
Academic Year : 2025-2026
Deepu Kumar
Enrolled: 30 July 2024
Completed :
30 June 2026
Supervisor : Dr. Anupam Biswas
Academic Year : 2025-2026
Zunaid Akhtar
Enrolled: 30 July 2024
Completed :
30 June 2026
Supervisor : Dr. Anupam Biswas
Manas Yadav
Enrolled: 30 July 2023
Completed :
30 June 2025
Supervisor : Dr. Anupam Biswas
Academic Year : 2025-2026
Gautam Agarwal
Enrolled: 30 July 2022
Supervisor : Dr. Anupam Biswas
Academic Year : 2023-2024
Om Singh
Enrolled: 30 July 2022
Supervisor : Dr. Subrata Bera
Co Supervisor : Dr. Anupam Biswas
Academic Year : 2023-2024
Rajdeep Paul
Enrolled: 30 July 2021
Completed :
30 June 2023
Supervisor : Dr. Anupam Biswas
Academic Year : 2023-2024
Thounaojam Chinglemba
Enrolled: 30 July 2020
Completed :
30 June 2022
Supervisor : Dr. Anupam Biswas
Academic Year : 2022-2023
Rohit Kushwaha
Enrolled: 30 July 2019
Completed :
30 June 2021
Supervisor : Dr. Anupam Biswas
Academic Year : 2021-2022
Abhijit Das
Enrolled: 30 July 2017
Completed :
30 June 2020
Supervisor : Dr. Anupam Biswas
Academic Year : 2019-2020
Low-Light Image Enhancement
Ashar Alam
Ongoing
Supervisor : Dr. Anupam Biswas
Satellite Image Processing
K. S. Florence
Ongoing
Supervisor : Dr. Anupam Biswas
Information Diffusion Driven Community Detection Techniques for Social Networks
Dr. Soumita Das
Completed :
25 May 2025
Supervisor : Supervisor
Academic Year : 2018-2019
Development of Rumor Source Identification Techniques for Social Networks using Temporal, Sensory, and Group Information
Dr. Ravi Kishore Devarapalli
Completed :
20 May 2025
Supervisor : Supervisor
Development of Summarization Techniques for Legal Documents by Exploring Linguistic and Representation Learning Approaches
Dr. Deepali Jain
Completed :
8 January 2024
Co Supervisor : Co- Supervisor
Academic Year : 2019-2020
Data-driven Computational Approaches for Indian Classical Music and its Forms
Dr. Yeshwant Singh
Completed :
11 August 2023
Supervisor : Supervisor
Academic Year : 2019-2020
Development of User-driven Customizable Hashing Techniques
Abhilash Chakraborty
Ongoing
Supervisor : Supervisor
Academic Year : 2021-2022
Multilevel Thresholding for Image Segmentation using Meta-heuristic Techniques
Saifuddin Ahmed
Ongoing
Supervisor : Supervisor
Academic Year : 2019-2020
Design and Development of Secure Unmanned Aerial Vehicles Authentication using Physically Unclonable Functions
B. Harikrishna Reddy
Ongoing
Co Supervisor : Co- Supervisor
Academic Year : 2021-2022
Bagusetty Ajay Ram
Ongoing
Supervisor : Supervisor
Effective Evaluation and Improvement Strategies for Nature Inspired Optimization Algorithms
Debojyoti Sarkar
Ongoing
Supervisor : Supervisor
Academic Year : 2019-2020
Sl.No: 1
Title Of Research Project: " Leveraging Machine Learning and Soft Computing Techniques to Investigate Raag Formation in Indian Classical Music "
Sponsored By: SERB or ANRF
Overall Budget: Rs 24,68,400
Duration: Jun 24, 2019 - Oct 23, 2022 (3 years 3 months 29 days)
Status: Completed
Principal Investigator: Dr. Anupam Biswas
Sl.No: 2
Title Of Research Project: " Optimal Solution Evaluation "
Sponsored By: SERB or ANRF
Overall Budget: Rs 23,36,500
Duration: Nov 08, 2019 - Nov 08, 2022 (3 years)
Status: Completed
Principal Investigator: Dr. Anupam Biswas
Sl.No: 3
Title Of Research Project: " DST- Centre for Learning Science and Technology "
Sponsored By: DST
Overall Budget: Rs 1,00,00,000
Duration: Sep 09, 2022 - Sep 09, 2027 (5 years)
Status: Ongoing
Co Principal Investigator: Dr. Anupam Biswas
Sl.No: 4
Title Of Research Project: " Ultrasound Image-based Breast Cancer Prediction and Detection using Deep Learning Computational Techniques "
Sponsored By: SERB or ANRF
Overall Budget: Rs 30,00,000
Duration: Nov 01, 2022 - Nov 01, 2025 (3 years)
Status: Ongoing
Co Principal Investigator: Dr. Anupam Biswas
Sl.No: 5
Title Of Research Project: " Quantum Machine Learning for Social Network Analysis Applications "
Sponsored By: MeitY
Overall Budget: Rs 2782198
Duration: Apr 25, 2023 - Apr 25, 2025 (2 years)
Status: Completed
Principal Investigator: Dr. Anupam Biswas
Co Principal Investigator: Dr. Pallabi Saikia
Sl.No: 6
Title Of Research Project: " Analyzing the Raag Origins of Indian Traditional Folk Music "
Sponsored By: IKS Division, MoE
Overall Budget: Rs 1080000
Duration: Apr 01, 2026 - Oct 31, 2026 (6 months 30 days)
Status: Ongoing
Principal Investigator: Dr. Anupam Biswas
Co Principal Investigator: Prof. Rabul Hussain Laskar and Dr. Yeshwant Singh
| Sl.No | Award/Recognition/Achievement | Year | Approved agency |
|---|---|---|---|
| 1 | Best Paper Award: for paper titled “The Ties that matter: From the perspective of Similarity Measure in Online Social Networks” | 2021 | MIND 2021 |
| 2 | Best Paper Award: for paper titled “Community Detection in Multiple Featured Social Network using Swarm Intelligence” | 2014 | ICC 2014 |
| 3 | Best Paper Award: for paper titled “DCC: A Cascade based Approach to Detect Communities in Social Networks” | 2022 | CHSN-2022 |
