National Institute of Technology Tiruchirappalli
Department of Electronics and Communication Engineering
5 Days Workshop on
Machine Learning Deep Learning and Computational intelligence for Wireless communication
MDCWC 2026
April 13th to April 17th 2026
Objective
Due to the feasibility of collecting huge data from mobile and wireless networks, there are many possibilities of using Machine learning, Deep-learning and the Computational Intelligence to interpret and to hunt knowledge from the collected data. The course aims on strengthening the mathematical foundations involved in wireless communication, machine learning, deep learning and computational intelligence using illustrations using Matlab.
Visit to 5G LAB (Sponsored by DOT) is also planned during the event.
DAY-1 Parametric approach to Linear regression (Maximum Likelihood Estimation, Least square estimation) – Invited talk -1 Regularization technique Bayes technique, Kernel smoothing Gaussian process technique
DAY-2 Principal Component Analysis, Linear Discriminant Analysis , Kernel Linear Discriminant Analysis, Independent Component Analysis, Invited talk -2 Detection theory (AWGN Model) : Bayes, Mini-Max and Neyman-pearson technique Detection theory (Binary channel model) : Bayes, Mini-Max and Neyman-pearson technique
DAY-3: Probabilistic discriminative model: Perceptron, Multiple class Logistic regression, Support Vector Machine Invited talk -3 Estimation theory (AWGN Model) : MMSE, MMAE and MAP technique Estimation theory (Binary channel Model) : MMSE, MMAE and MAP technique
DAY-4: Probabilistic generative model: Gaussian Mixture Model (Combinational model) Invited talk -4 Introduction to OFDM OTFS - Case study*
DAY-5: Probabilistic generative model: Hidden Markov Model (Sequential model) Invited talk -5 Case study*
Topics of case study *
[1] S. M. Baby and E. S. Gopi, "Complex Valued Linear Discriminant Analysis on mmWave Radar Face Signatures for Task-Oriented Semantic Communication," in IEEE Transactions on Cognitive Communications and Networking, vol. 12, pp. 1892-1904, 2026 (SCIE Journal, Q1) LINK: https://ieeexplore.ieee.org/abstract/document/11124273
[2] S. M. Baby and E. S. Gopi, "Complex Chromatic Imaging For Enhanced Radar Face Recognition," Elsevier journal on Computers & Electrical Engineering, vol. 25, 2025. (SCIE, Q1 JOURNAL)
LINK: https://www.sciencedirect.com/science/article/pii/S0045790625001417
(3) C. Kiruthika and E. S. Gopi, Signal and Channel State Information compression, detection for various channel model "FBCNet: Fusion Basis Complex-valued Neural Network for CSI compression in Massive MIMO networks," IEEE Networking Letters, 2024. (ESCI, Q1 JOURNAL) LINK: https://ieeexplore.ieee.org/abstract/document/10783048
[4] C. Kiruthika and E. S. Gopi, "CSI compression with Kernel-based sparsity learning for FDD Massive MIMO systems," IEEE Transactions on Cognitive Communications and Networking, 2024. (SCIE, Q1 JOURNAL)
LINK: https://ieeexplore.ieee.org/abstract/document/10794672
Mr.Mohamed ilias is an Assistant Director (Technology) in the Department of Telecommunications with over 25 years of experience across Government, telecom, and Teaching, spanning BSNL Data Centre operations, telecom billing, and emerging technologies. Worked extensively on mobile communication systems, large-scale telecom infrastructure, along with hands-on experience in databases, servers, storage, and network operations.
Dr. Prabhat Kumar Sharma is an Assistant Professor with the Department of Electronics and Communication Engineering, Visvesvaraya National Institute of Technology, Nagpur, India. He was a visiting researcher in The Information, Inference & Intelligence Group, Ming Hsieh Department of Electrical and Computer Engineering Systems at University of Southern California, USA during Sept 2023 to March 2024. He is a recipient of the Visvesvaraya Young Faculty Research Fellowship from the Ministry of Electronics and Information Technology, Government of India, URSI Young Indian Radio Scientist Award in 2019 and SERB SIRE fellowship 2023. He has served IEEE Nagpur subsection as Chair for the years 2022 and 2023, and as Secretary for the year 2021. He is Nodal Officer for VNIT 5G Lab which is supported by the Department of Telecommunications, Government of India. He is serving on the editorial boards of IEEE Transactions on Communications, IEEE Transactions of Molecular Biological and Multiscale Communications IEEE Communications Letters and IEEE Wireless Communication Letters. His current research interests include 6G and beyond wireless, quantum, molecular and biological communications systems, .
Mr. Prakash Rao has over 24 years of experience in the wireless protocol domain, ranging from 2.5G to 5G technologies. He worked for more than 19 years at Samsung, where he played a key role in the launch of smartphones based on 5G/4G/3G technologies, including world-first launches such as 5G NSA mmWave smartphones for the USA market and the first 4G multimode dongle. He has co-authored several patents filed in India and the USA. Currently, Prakash leads the software development and QA team at Signaltron Systems as Senior Director. He holds a Bachelor of Engineering in Computer Science and Engineering from NITK Surathkal.
Dr. Shyam Lal is an Associate Professor and Associate Dean (Research) in the Department of Electronics and Communication Engineering at the National Institute of Technology Karnataka (NITK), Surathkal, where he has over 22 years of professional experience. His research interests include Machine and Deep Learning, Medical Image Processing, and Satellite Image Processing. Read the full profile at NITK
Dr. R. Swaminathan (Senior Member, IEEE) is an Associate Professor and Head of the Department of Electrical Engineering at the Indian Institute of Technology (IIT) Indore. He earned his Ph.D. from IIT Kharagpur in 2016. From 2015 to 2019, Dr. Swaminathan served as a Postdoctoral Research Fellow at Nanyang Technological University (NTU), Singapore, and later as a Visiting Faculty Member there in July 2023 and 2024. He joined IIT Indore as an Assistant Professor in 2019 and has been an Associate Professor since October 2023. Dr. Swaminathan has authored and co-authored over 100 research publications, including journal articles, IEEE conference papers, book chapters, technology disclosures, patents and a textbook. His research interests span Wireless Communications, Communication Systems, and Coding Theory. He has received several notable recognitions, including the Best Research Paper Award at IIT Indore (2025) and being featured among the Top 2% Scientists in the World (2025) in a global study by Stanford University, USA. In 2021, he was recognized as an Exemplary Reviewer by the IEEE Communications Society, USA, for his outstanding contributions to IEEE Communications Letters. He was also honoured with the Gold Medal from the College of Engineering, Guindy, Anna University, for academic excellence. Dr. Swaminathan has delivered numerous invited talks on Entrepreneurship and Wireless Communications at premier engineering institutions. He actively contributes to the global research community as a reviewer for leading IEEE journals and as a Technical Program Committee (TPC) member for major IEEE conferences.
PATRON: Dr .G. Aghila, Director
CO-PATRON: Dr. M. Pramelatha, Dean (Research and Consultancy) Dr. R. Pandeeswari, Head of the Department, ECE
CO-ORDINATOR AND SPEAKER: Dr.E.S.Gopi, Professor, Department of ECE, NIT,Tiruchirappalli
Co-ordinator and Speaker: Dr. E. S. Gopi is a professor in the Department of Electronics and Communication Engineering at the National Institute of Technology, Tiruchirappalli (Government of India), with 25 years of experience in teaching and research. He has authored eight books and edited three publications with Springer, primarily focusing on signal processing and pattern recognition. His book Pattern Recognition and Computational Intelligence using MATLAB was recognized by Book Authority as a notable resource in the field. In addition, he serves as the series editor for Springer's Signals and Communication Technology series. He has contributed to several research publications, including journal articles, book chapters, and conference proceedings. His publications include articles in IEEE Transactions on Cognitive Communications and Networking, IEEE Networking Letters, IEEE Geoscience and Remote Sensing Letters, IEEE Transactions on Emerging Topics in Computational Intelligence, Neurocomputing, Applied Mathematics and Computation, Expert Systems with Applications, Machine Learning with Applications, Ecological Informatics,Computers & Electrical Engineering and Swarm and Evolutionary Computation. He was the principal investigator for a GTRE (DRDO) project on machine learning applications for sensor modeling. Beyond writing, he creates instructional videos on topics such as pattern recognition, statistical theory of communication, and linear algebra, which are popular among students. He has also organized several academic events, including the virtual international conferences MDCWC2020 and MDCWC2023, with proceedings published by Springer. He actively engages with the IEEE community as the Workshop, Tutorials & Symposia Officer for the Machine Learning for Communications Emerging Technologies Initiative. He has been invited to speak at platforms like the Global Initiative of Academic Networks (GIAN) and the IEEE Training School on Machine Learning for Wireless Communication. He was recognized as a ScholarGPS 2025 Highly Ranked Scholar - Lifetime in the specialty of Digital Signal. This distinction recognizes exceptional productivity, noteworthy impact, and the quality of scholarly work, placing his contributions within the top 0.05% of scholars in this field worldwide. His research interests include machine intelligence, pattern recognition, statistical signal processing, and computational intelligence.
Registration details
Number of participants: 50
Expression of interest: https://docs.google.com/forms/d/e/1FAIpQLSf-55xnu3GNmvbtsueVfdepO27G8fsCWPWiebhy700OQgdoCg/viewform?usp=publish-editor
The registration link will be sent to selected participants via email. Preference will be given to those opting for offline participation
Participants: UG, PG, Research scholars and faculty members with relevant background.
Registration fees: Rs.2500/- Includes Learning kit, Lunch and snacks. (Accommodation and other expenses are not covered)
Organized by
Pattern recognition and Computational Intelligence Group
Department of ECE, NIT, Tiruchirappalli
