Faculty Directory
Avik Kumar Das
Academic Information
Ph.D (Presubmission), IIEST Shibpur, 2025
Research Interests
My research interests focus on artificial intelligence–driven sensing, communication, and cyber-physical systems with strong real-world impact. I work on Internet of Things (IoT) and Internet of Underwater Things (IoUT), underwater acoustic and optical wireless communication, OTFS modulation, and advanced channel coding (LDPC/NB-LDPC) with AI-assisted signal processing. My research also includes computer vision for visibility enhancement, autonomous systems, edge–cloud intelligence, explainable AI, and data-driven environmental and water quality monitoring. Recently, my work extends to Agentic AI and Large Language Models (LLMs) for autonomous reasoning, decision support, and domain-specific intelligent applications.
Courses Taught
AI ML, Cloud Computing & IoT, Computer Networks, Data Structure & Algorithms, Computer Architecture, • Artificial Intelligence & Machine Learning
• Cloud Computing & Internet of Things (IoT)
• Computer Networks
• Data Structures & Algorithms
• Computer Architecture
• Digital Signal Processing (DSP)
• Electromagnetic (EM) Theory
• Circuit Theory
• Analog Circuits
• Control Systems
• Microprocessors
• IT Workshop (MATLAB)
• Cloud Computing & Internet of Things (IoT)
• Computer Networks
• Data Structures & Algorithms
• Computer Architecture
• Digital Signal Processing (DSP)
• Electromagnetic (EM) Theory
• Circuit Theory
• Analog Circuits
• Control Systems
• Microprocessors
• IT Workshop (MATLAB)
Positions Held
1. Associate Professor, Department of Computer Science and Engineering (IoT, CS & BT), University of Engineering & Management (UEM), Kolkata, India
2. Principal Investigator / Technical Consultant for Government-funded innovation projects (MeitY TIDE, PRISM-DSIR) involving AI-driven cyber-physical systems and smart sensing solutions
3. Industry Consultant for AI, IoT, and communication system design, including prototype development, system validation, and technology transfer
2. Principal Investigator / Technical Consultant for Government-funded innovation projects (MeitY TIDE, PRISM-DSIR) involving AI-driven cyber-physical systems and smart sensing solutions
3. Industry Consultant for AI, IoT, and communication system design, including prototype development, system validation, and technology transfer
Publications
Das, A. K., and A. Pramanik. “Image Transmission in UWA Channel Using CS Based OTFS System.” Microsystem Technologies, vol. 29, no. 11, 2023, pp. 1577–1588.
Nandi, Apurba, Sruti Ghorai, Shaoni Banerjee, Arijeet Ghosh, Avik Kumar Das, and Sangita Dutta. “Explainable Hybrid Recurrent Models for Stock Price Prediction: Integrating Attention for Transparency.” Computational Economics, Springer, 16 Jan. 2026.
Paul, Priyanka, Shaoni Banerjee, Apurba Nandi, Avik Kumar Das, and Arijeet Ghosh. “A Multilayer Deep Neural Network Framework for Hemodynamic Assessment of Cognitive Load Management During Problem-Solving Tasks.” Cognitive Neurodynamics, Springer, 2025.
Ghosh, Subhajit, Avik Kumar Das, Apurba Nandi, and Arijeet Ghosh. “Multi-label Imbalanced Text Handling Using Ensemble Methodology with Application to Biomedical Data Classification.” Iran Journal of Computer Science, Springer, 2024.
Das, A. K., S. C. Bakshi, and A. Pramanik. “Convolutional Neural Network for Sparse Channel and Image Reconstruction in Underwater Acoustic Communication.” Artificial Intelligence for Wireless Communication Systems, Springer, 2023, pp. 143–163.
Das, A. K., and A. Pramanik. “A Survey Report on Deep Learning Techniques in Underwater Acoustic Channels.” Computational Intelligence in Pattern Recognition, Springer, 2020.
Das, A. K., A. Pramanik, A. R. Chowdhury, and L. Ramakrishnan. “On Improved Performance of Underwater VLC System.” Proceedings of the 2nd International Conference for Innovation in Technology (INOCON), IEEE, 2023.
Bose, Tuheena, Divyanshi Srivastava, Apurba Nandi, Arijeet Ghosh, Avik Kumar Das, and Sangita Dutta. “TeaCureNet: A Lightweight Deep Learning Framework for Automated Tea Leaf Disease Detection and Treatment Recommendation.” Proceedings of IEEE AICARE, 2025.
Nandi, Apurba, Tista Mukherjee, Preeti Dey, Rajiv Ganguly, Avik Kumar Das, and Sandip Mandal. “Towards Transparent Planetary Defense: Explainability-Driven AI Approaches for Near-Earth Object Hazard Prediction.” Proceedings of IEEE AICARE, 2025.
Nandi, Apurba, Avik Kumar Das, Arijeet Ghosh, Hritajit Sur, Gourab Mandal, and Koushik Das. “Enhanced Convolutional Neural Network for Sign Character Recognition with Mixed Pooling and Mish Activation.” Proceedings of IEEE ISAA, 2024.