Amlan Chakrabarti

About

Amlan Chakrabarti is a Full Professor in the A.K.Choudhury School of Information Technology at the University of Calcutta. He was a Post-Doctoral fellow at the School of Engineering, Princeton University, USA during 2011-2012. He has almost 20 years of experience in Engineering Education and Research. He is the recipient of DST BOYSCAST fellowship award in Engineering Science (2011), Indian National Science Academy (INSA) Visiting Faculty Fellowship (2014), JSPS Invitation Research Award (2016), Erasmus Mundus Leaders Award (2017), Hamied Visiting Professorship from University of Cambridge, UK (2018) and Siksha Ratna Award by Dept. of Higher Education Govt. of West Bengal (2018). He has also served in various capacities in various higher education organizations both at national and international levels. He has published around 150 research papers in referred journals and conferences and has graduated 12 Ph.D. students. He is an Associated Editor of the Elsevier Journal of Computers and Electrical Engineering and Guest Editor of the Springer Journal of Applied Sciences. He is a Sr. Member of IEEE and ACM, IEEE Computer Society Distinguished Visitor, Distinguished Speaker of ACM, Secretary of IEEE CEDA India Chapter, Member of International Water Association, Vice President of Data Science Society and Life Member of CSI India. His areas of research are Machine Learning, Computer Vision, Reconfigurable Computing, VLSI CAD and Quantum Computing.

Employment

• University of Calcutta Professor
  2006 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (216)

• LeSum: Cost-effective LLM-driven hybrid summarization of Indian legal judgments
  Expert Systems with Applications 2027 DOI: 10.1016/j.eswa.2026.133683
  +Save
• 3D-LiteNet: A Lightweight Vision-based Deep Learning Approach for Fall Detection in Smart Healthcare
  Evolving Systems 2026 DOI: 10.1007/s12530-026-09846-6
  +Save
• Transformative Energy-Efficient Edge-Optimised Multimodal Deep Learning Framework for Pest Management and Severity Analysis in Tea Plants
  ACM Transactions on Embedded Computing Systems 2026 DOI: 10.1145/3816754
  +Save
• BEExformer: A Fast Inferencing Binarized Transformer With Early Exits
  IEEE Transactions on Sustainable Computing 2026 DOI: 10.1109/TSUSC.2026.3666456
  +Save
• A Classifier for Spinal Tumors Using Novel Data Augmentation
  2026 DOI: 10.1007/978-3-032-08508-5_29
  +Save
• Physiology-Aware Chlorophyll-Guided Multimodal Transformer With Federated Learning for Early Pest-Risk Forecasting in Tea Plantations
  IEEE Access 2026 DOI: 10.1109/ACCESS.2026.3671812
  +Save
• Trojan-Resilient NTT: Protecting Against Control Flow and Timing Faults on Reconfigurable Platforms
  IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 2026 DOI: 10.1109/TCAD.2026.3702368
  +Save
• Intermediate Qutrit-based improved quantum arithmetic operations with application on financial derivative pricing
  International Journal of Quantum Information 2025 DOI: 10.1142/S0219749925500364
  +Save
• An Adaptive Deep Learning Based Short-Term Wind Speed Forecasting Model for Variable Terrain Conditions
  IEEE Transactions on Artificial Intelligence 2025 DOI: 10.1109/TAI.2025.3547685
  +Save
• Fast Classical Simulation of Qubit-Qudit Hybrid Systems: Optimizing Efficiency in Classical Simulation of Multilevel Quantum Systems [Focus: Quantum Software and Its Engineering]
  IEEE Software 2025 DOI: 10.1109/MS.2025.3537804
  +Save