KEYNOTE LECTURE

Arun Balodi

Dayananda Sagar University, Bengaluru, India

The rapid evolution of intelligent transportation systems demands the integration of signal processing, machine learning, and vehicular technologies to enable safer, smarter, and more autonomous mobility. This keynote explores the transformative role of edge intelligence and signal processing frameworks in addressing two critical challenges: adaptive traffic control and driver behaviour analysis.

First, we present a TinyML-based traffic prediction system, where real-time sensor signals are processed using feature extraction techniques (time-domain and spectral analysis) to dynamically optimize traffic signals. The system demonstrates high efficiency and low latency, achieving real-time decision-making on resource-constrained edge devices.

Second, we extend the discussion to vehicular signal analytics, highlighting a Multi-Task Learning (MTL) LSTM framework that simultaneously detects illegal drivers, identifies authorized users, and evaluates driving behaviour using in-vehicle sensor signals such as speed, throttle, and steering angle. The approach leverages temporal signal patterns to enhance classification accuracy and road safety.

By bridging signal processing techniques (feature extraction, spectral analysis) with edge AI and vehicular networks, this keynote demonstrates how intelligent systems can evolve from reactive to predictive and autonomous frameworks. The session concludes with insights into future directions, including V2X communication, smart cities, and autonomous driving ecosystems.

Dr. Arun Balodi, Senior Member IEEE, Fellow IETE, Life Member ISTE is currently working as Professor and chairman at the Department of Electronics and Communication Engineering, Dayananda Sagar University in Bangalore, India. Dr Arun completed his PhD from the Department of Electrical Engineering, Indian Institute of Technology, Roorkee, India, 2018, M. Tech., Digital Signal Processing, Govind Ballabh Pant Engineering College, Pauri, India, 2010, and B.Tech. in Electronics and Communication Engineering, Uttar Pradesh Technical University, Lucknow, India, 2005. He was awarded Gold Medal in M. Tech., and the Academic Excellence Award in 2010 and 2011. His research area is Biomedical Signal and Image Processing, Artificial Intelligence. Dr. Balodi has more than 18 years of teaching and research experience in various institutions in India. His research area is Digital Signal and Image Processing, Medical Image Analysis, Machine Learning and Pattern Recognition. He has published over 65 papers in peer-reviewed journals, international conferences, and 07 Patents. He is an active researcher and reviewer for various indexed Journals and Conferences and has given various technical talks. He has actively participated in more than 50 FDPs and more than 100 webinars and conducted workshops in the domain of Signal and Image Processing. He has delivered expert talks in more than 21 STPs, conferences, and webinars. Dr. Balodi received a Certificate of Appreciation and Research Incentive for his research contribution in publishing good Journal Papers, Patents, Book Chapters, and International Conference in the years 2020 and 2021. He has also received the Research Excellence Award and Incentive for research contribution in terms of publishing good Journal Papers, Patents, Book Chapters, and International Conference and editing one International Book in the academic year 2022-23.