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Avik Kumar Das

University of Engineering & Management, University of Calcutta, Seacom Engineering College

ORCID iD 0000-0001-8824-703X
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About

Associate Professor and doctoral researcher with 4Y4M of academic experience and 2 years of industry experience,
alongside a 2-year honorary research engagement in wireless communication, underwater acoustic communication
(UWAC), Internet of Underwater Things (IoUT), and AI/ML systems. Author of 65+ research outputs — 10+
journal papers (including Cognitive Neurodynamics, IF 3.10, SCIE), 2 IEEE Transactions papers under review, 11+
book chapters, and 37+ conference papers — and inventor on 6 patents (2 granted, 2 published, 2+ filed) with 2
filed copyrights. Recipient of competitive national funding (PRISM–DSIR via IIT Kharagpur; MeitY TIDE via
SINE IIT Bombay), Co-PI of the international BRICS multilateral project CHEMBIOSEN, and Co-Lead
of a BIRAC-funded project with IISc and RIO. Coordinator of the Satyameba Supercomputer project and
the Supercomputer/HPC, Drone, AUV and Underwater Labs at UEM Kolkata. Principal Investigator on 6 funded
projects spanning GNSS precision positioning, IoT vehicle tracking, AI-driven traffic optimization, IoUT sensing,
and vision-based disease monitoring. Core expertise: OTFS/OFDM, compressed sensing, channel estimation, LDPC
coding, deep learning (CNN, LSTM, NLP/LLM, quantum-hybrid), and embedded/IoT prototyping.

Employment

  • University of Engineering & Management Associate Professor
    2024 - Present
  • University of Calcutta Visiting Professor
    2023 - 2024
  • Seacom Engineering College Assistant Professor
    2017 - 2018
  • Goldstar Technology IT Support Executive
    2012 - 2014

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (7)

  • Explainable Hybrid Recurrent Models for Stock Price Prediction: Integrating Attention for Transparency
    Computational Economics 2026
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  • Multi-label Imbalanced Text Handling using Ensemble Methodology with Application to Biomedical Data Classification
    Iran Journal of Computer Science 2025
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  • A Multilayer Deep Neural Network Framework for Hemodynamic Assessment of Cognitive Load Management during Problem-Solving Tasks.
    Cognitive Neurodynamics 2025
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  • Convolution Neural Network for Sparse Channel and Image Reconstruction in Underwater Acoustic Communication
    Taylor & Francis 2024
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  • Image Transmission in UWA Channel using CS-based OTFS System
    Microsystem Technologies 2023
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  • A Novel High rate LDPC code
    Proceedings of the 21st International Conference on Distributed Computing and Networking 2020 DOI: 10.1145/3369740.3372777
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  • A Survey Report on Deep Learning Techniques in Underwater Acoustic Channels
    Computational Intelligence in Pattern Recognition 2020 DOI: 10.1007/978-981-15-2449-3_35
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