Tamal Ghosh, PhD
00:00:00
Kolkata
🔹 Latest Update: ANRF MAHA Drone Project Proposal Submitted | 🔹 Recruiting Student Interns for SLM Architecture & Foundation Models | 🔹 New Research on OSMOSIS Framework Under Review
_
[]
Dr. Tamal Ghosh - Research
X
AboutQualificationsTeaching ResearchPublications ProjectsMiscellaneous
Dr. Tamal Ghosh

Dr. Tamal Ghosh

Associate Professor  |  Educator  |  Researcher  |  NAAC Consultant
Dept. of Computer Science & Engineering, School of Engineering & Technology, Adamas University, Kolkata
PostDoc NTNU, Gjøvik, Norway PhD Jadavpur University B.Tech CSE NIT Calicut M.Tech IE&M WBUT
Email (official): tamal.ghosh1@adamasuniversity.ac.in
LinkedIn Download CV ORCID Google Scholar Scopus Web of Science

Research Interests

Artificial IntelligenceEvolutionary Computing Surrogate-Assisted OptimizationCollaborative ML & DL Industry 4.0Digital Twin Computer VisionPrompt Engineering Reinforcement LearningCyber-Physical Systems
Actively seeking PhD / PG students for cutting-edge research in the above areas. Contact: tamal.ghosh1@adamasuniversity.ac.in

Research Scholars

Mr. Kamal Paul (Expected 2027)
PhD Scholar, Adamas UniversityTopic: Prompt Engineering and optimization
Mr. Nilay Nag (Expected 2029)
PhD Scholar, Adamas UniversityTopic: Object Localisation SLAM and DL Application
Mr. Shuvankar Dalapati (Expected 2027)
M.Tech Scholar, Adamas UniversityTopic: Design and Development of Domain-specific SLM
Mr. Arpan Maity (Completed 2026)
M.Tech Scholar, Adamas UniversityTopic: Object Detection and Classification using Convolution NN

In-Pipeline Papers

Ghosh, Ghosh, Nath, Chandra, Maity - An Interpretable Clinical Decision Support Framework for Multi- Label Paediatric Ocular Screening Using Causality-Guided Machine Learning. Journal of Health Informatics Research, Springer (SCI, Q1)
Bhattacharjee, Ghosh, Dan, Mondal - An Explicit Model Predictive Control Framework Utilizing Evolutionary Algorithms and Time-Series Forecasting for Plug-In Hybrid Electric Vehicles. Engineering Applications of Artificial Intelligence, Elsevier (SCI, Q1)
Maity, Ghosh, Bhattacharjee - Attention-Enhanced Knowledge Distillation for Interpretable Mental Health Screening Using Unsupervised Survey Data. Discover Mental Health, Springer (SCI, Q1)
Paul, Ghosh, Saha, Bhattacharjee - Heterogeneous Multi-Agent Retrieval-Augmented Framework for Interpretable and Precedent-Aware Judicial Reasoning. Discover Artificial Intelligence, Springer (Q1 Scopus)
Paul, Ghosh, Saha - Hierarchical Semantic Structuring and Evolutionary Query Optimization Framework for Domain-Specific Retrieval-Augmented Generation. Int. J. of Computer Applications in Technology (SCI)
Paul, Ghosh, Saha, Basu - An Intelligent OCR-to-QA Pipeline with Semantic Chunking and Vector Retrieval. MINDS 2026, NSHM Durgapur (IEEE)
Mukherjee, Manna, Chakrabortty, Shaw, Keshari, Paul, Ghosh - Context-Aware Smart Grid Energy Forecasting Using Distilled LLMs and Multimodal Learning. Discover Sustainability, Springer (SCI)
Paul, Ghosh, Saha, Golder, Dutta, Bhowmick, Dasgupta - Camouflage Optimization Algorithm: An Adaptive Evolutionary Framework. Soft Computing, Springer (SCI)
Ghosh, Paul - A Resilient Distributed Learning Framework for Perishable Demand Forecasting. Int. J. System Assurance Engineering and Management, Springer (SCI, Q2)
Ghosh, Dan - A Digital Twin-Driven Near-Zero-Error Healthcare System. Int. J. Advanced Operations Management, InderScience (SCOPUS)
Maity, Ghosh - Attention-Enhanced VAE for Unified Reconstruction and Classification on Small and Imbalanced Medical Datasets. Neural Computing and Applications, Springer (SCOPUS, Q1)
Research
10 in-pipeline papers (1 conf. 2 SCOPUS. 7 SCI)  |  3 active scholars
Online