Shouvik Chattopadhyay

About

Assistant Professor of Management with 22+ years of industry and academic experience in Supply Chain Management (SCM), Operations, and Digital Transformation. My research applies advanced AI/ML techniques—including LSTM, GNN, RNN, CNN, CapsNet Attention, DRL, DQN, and MARL-GNN frameworks—to logistics, sourcing, routing optimization, inventory management, and demand forecasting. I integrate game-theoretic models, behavioral economics (prospect theory, loss aversion, status quo bias), and sustainable procurement frameworks (ISO 20400, ESG, SDGs) into supplier governance, sourcing, and procurement. My work also examines Industry 4.0 applications, including digital twins, blockchain in procurement, IoT-enabled traffic systems, urban mobility prediction, and real-time traffic optimization. Beyond management science, I maintain interdisciplinary interests in quantum electrodynamics, early-universe physics, and photon–matter interactions, linking computational models with fundamental science.

Employment

• Institute of Engineering & Management, Kolkata and University of Engineering & Management, Kolkata Assistant Professor - Management
  2012 - Present

Education

• University of Engineering & Management PhD in Management
  2017 - Present
• Indian Institute of Social Welfare and Business Management PG
  2001 - 2003
• Sambalpur University Bachelor of Commerce
  1997 - 2000

Projects & Funding

Projects & funding information is unavailable.

Publications (14)

• Future Trends of Artificial Intelligence, Machine Learning, and IoT in Climate Resilience and Disaster Management
  Artificial Intelligence and IoT for Disaster Risk Management and Sustainable Environmental Systems 2026 DOI: 10.71443/9789349552470-20
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• Machine Learning Techniques for Earthquake Prediction and Seismic Risk Analysis
  Artificial Intelligence and IoT for Disaster Risk Management and Sustainable Environmental Systems 2026 DOI: 10.71443/9789349552470-15
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• Autonomous Warehouse Inventory Management Using AI-Powered Drones and Cloud-Based Logistics Systems
  AI-Driven Drone Systems: Intelligent Applications in Smart Infrastructure, Healthcare, Security, and Sustainable Environments 2026 DOI: 10.71443/9789349552203-12
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• Supply Chain Management: Augmenting Transparency and Mitigating Fraud
  Blockchain Security: Decentralization and Data Integrity in Digital Economies 2026 DOI: 10.1515/9783111661605-002
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• Logistics and Supply Chain Management
  BR Publications 2026 DOI: 10.5281/ZENODO.18825374
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• A Novel Method for Predicting Consumer Purchase Behaviour on E-Commerce Platforms through Graph Neural Network Model
  2025 International Conference on Intelligent Computing and Knowledge Extraction (ICICKE) 2025 DOI: 10.1109/icicke65317.2025.11136707
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• Enhancing E-Commerce Innovation with Predictive Analytics in Business Management Using MARL-GNN Models
  2025 International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE) 2025 DOI: 10.1109/amathe65477.2025.11080851
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• IoT-Enabled Traffic Management Systems using CNN-TransLSTM for Next-Generation Smart Cities
  3rd International Conference on Integrated Circuits and Communication Systems Icicacs 2025 2025 DOI: 10.1109/ICICACS65178.2025.10967600
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• Optimizing Load and Routes in Supply Chain Management with Travelling Salesman Problem and CapsNet Attention
  3rd International Conference on Integrated Circuits and Communication Systems Icicacs 2025 2025 DOI: 10.1109/ICICACS65178.2025.10968632
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• The Impact of Multilingualism on Supply Chain Resilience in a VUCA Business Landscape
  Journal of Commerce & Business Studies 2024
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