Academic Profile of Mr. Dipankar Basak
Name: Mr. Dipankar Basak
Designation: HoD & Assistant Professor
Sex: Male
Category: OBC
Residential Address: Rabindra Nagar, W/No. 3, Kokrajhar, Assam
Department: Physics
Date of Joining: 12/01/2006
Mobile Number: 9435973097
Email ID: dipankar0001@gmail.com / dipankar@kokrajharuniversity.ac.in
Area of Specialization: High-energy Heavy-ion Collisions, Machine Learning
Name of Institution from which Postgraduate Degree was obtained: Guahati University
Year of Passing Postgraduate Degree: 2002
NET: Yes
Ph.D. Details: Pursuing
Total Teaching Experience (in years): 19 years (till 2025)
Research and Academic Contributions
Research Papers Published in Journals
| Sl. No. | Title of the Journal Article | Name of the Journal | ISSN/ISBN No. | Page No. | Volume/Issue | Year/Date |
| 1 | Harnessing data-driven methods for precise model independent event shape estimation in relativistic heavy-ion collisions. | Journal of Physics G: Nuclear and Particle Physics | 1361-6471 | 015102 | 53 | 2026 |
| 2 | Estimating centrality in heavy-ion collisions using transfer learning technique. | Nuclear Physics A | 0375-9474 | 123043 | 1057 | 2025 |
| 3 | Estimation of collision centrality in terms of the number of participating nucleons in heavy-ion collisions using deep learning. | The European Physical Journal A | 1434-601X | 174 | 59 | 2023 |
Book Chapters Published
| Sl. No. | Title of the Chapter | Year | Name of the Book & Page No. | Edited By | ISBN No. |
| 1 | Leveraging Machine Learning for Accurate Determination of Npart in Heavy-Ion Collision Events. | 2025 | Resarch In Multidisciplinary Research: Innovations in Science, Arts and Commerce. Page No. 123 | Dr. Sisir Kumar Rajbongshi, Dr. Kshirod Sarmah, Dr. Rajdeep Ghosh, Dharmeswar Tarang | 978-93-7185-157-2 |
| 2 | Data-Driven Techniques in Heavy-Ion Collisions. | 2024 | A Review of Multidisciplinary Innovation and Research. Page No. 52 | Dr. Tirthankar Sarma, Ruhul Amin | 978-81-971380-9-6 |
| 3 | Neural Network Prediction of Centrality in High-Energy Heavy-Ion Collisions. | 2024 | Research In India: Vol. X Page No. 9 | Prof. Dr. Dinesh R. Jaronde | 978-93-92310-95-9 |
Presentation of Papers in Conferences / Seminars/ Workshops etc.
| Sl no | Title of paper presented | Title of conference/ seminar | Organised by | Whether International/ National/ Regional/ State level/ College level |
| 1 | Machine Learning Approaches for Centrality Determination in Heavy-Ion Collisions | International Conference on Frontiers in Science: An Integrative Approach in Solving Global Challenges, 2025 | Krishnagar Government College, Krishnagar, Nadia, West Bengal | International |
| 2 | Centrality Estimation in Terms of Number of Participating Nucleons using Transfer Learning | 2nd International Conference on Computational and Mathematical Methods in Applied Sciences (ICCMAS-2024) | School of Applied and Life Sciences (SALS), Uttaranchal University, Dehradun, Uttarakhand | International |
| 3 | Determination of Collision Centrality In Terms of The Number of Participating Nucleons In Heavy-Ion Collisions Using Deep Neural Network | 67th Annual Technical Session cum National Seminar on “Current Developments in Science and Technology” | Bhattadev University, Bajali, Assam | National |
| 4 | Application of deep learning to determine the collision centrality in heavy ion collision. (Poster presentation) | Bodoland International Knowledge Festival, 2023 | Bodoland Territorial Region (BTR) Government & Bodoland University, Kokrajhar, India | International |
| 5 | Estimation of centrality in heavy-ion collision at √s = 200 GeV using deep learning. (Poster presentation) | 66th DAE Symposium on Nuclear Physics, SNP-2022 | Cotton University, Guwahati, India | National |
Refresher Courses Attended
| Sl no | Programme | Duration | Organised by |
| 1 | Faculty Development Program on “UG Level Computational Physics Practical Using Python” from 4th January, 2021 to 9th January, 2021 | One week | Dept of Physics & IQAC of Birjhora Mahavidyalaya, Bongaigaon, Assam, India |
| 2 | Faculty Development Program on “Moodle Learning Management System” from 28th November to 4th December,2020 | One week | Kokrajhar Govt. College with course material provided by Spoken Tutorial Project, IIT Bombay |
| 3 | Faculty Development Program on “Python Programming” from from 20th July 2020 to 24th July 2020 | One week | Jorhat Institute of Science and Technology, Jorhat, Assam under TEQIP-3, sponsored by MHRD, Govt. Of India |
| 4 | Faculty Development Program on “Behavioral Remodeling and Use of ICT Tools for Classroom Delivery of Teachers” and “Advanced Concepts of ICT Tools” from 27th July, 2019 to 5th August, 2019 | Two weeks | E&ICT Academy IIT Guwahati in association with Kokrajhar Govt. College, Kokrajhar and support from Mantra Associates. |
| 5 | Special Summer School on “Challenges and prospects of Higher Education in India in the new millennium” from 6th July, 2015 to 25th July, 2015 | Three weeks | UGC Human Resource Development Centre, Rani Durgavati Vishwavidyalaya, Jabalpur, Madhya Pradesh |
| 6 | UGC-Sponsored Refresher Course in Computer Application (Interdisciplinary for all Subjects) from 9th July, 2013 to 29th July, 2013 | Three weeks | UGC Academic Staff College, Devi Ahilya Vishwavidyalaya, Indore, Madhya Pradesh |
| 7 | Orientation Program (OP-95) from 5th April, 2010 to 1st May, 2010 | Four weeks | UGC Academic Staff College, Himachal Pradesh University, Shimla |