Keynote  Speaker 1 : Dr. Santi P. Maity - Reconfigurable Intelligent Surface in 6G Communications: Challenges, Opportunities and Applications

Dr. Santi P. Maity joined the faculty of Indian Institute of Engineering Science and Technology, Shibpur, India (IIEST Shibpurat) (formerly BEC(DU), BESU Shibpur) in the year 2000, where at present, he is a Professor (HAG) in Dept. of Information Technology. He  served as the Head of different of various academic units of the Institute, namely Dept. of Information Technology, Purabi Das School of Information Technology (PDSIT), School of VLSI (SVLSI) and School of Mechatronics and Robotics (SMR) and School of Advanced Materials, Green Energy and Sensor Systems (SAMGESS). He received his B.E. degree in Electronics and Communication Engineering from National Institute of Technology Durgapur and M.Tech. in Microwaves from the University of Burdwan, India in 1993 and 1997, respectively.  He received his Ph.D. degree in Engineering from IIEST Shibpur in 2008 and did Post-Doctoral work from January 2009 to July 2009 and February 2011 to July 2011 at the Laboratoire des Signaux et Systems (CNRS–Supelec–Universite Paris-Sud 11) in France. His research interests include Cognitive Radio Networks, MC-CDMA systems, Digital Image Watermarking and Secret Sharing, Compressed Sensing based Image Reconstruction and Disease Diagnosis, and Computer Aided Diagnosis (CAD) based Gradation on Diabetic Retinopathy. His current research areas also include the use of Reinforcement Learning (RL) in Spectrum Prediction, Reconfigurable Intelligent Surfaces (RIS) in D2D communication and optimal placement of charging stations in Electric Vehicle (EV) systems. He has published more than 325 research papers in International journals, International and National conference proceedings, and book chapters. He has guided 21 Ph. D theses so far and examined more than 70  Ph. D theses of various institutes that include foreign institutes, State universities, Central Universities, NITs, IITs and IIITs. He has delivered so far more than 80 invited, keynotes and tutorial talks in International and National conferences, seminars, workshops, symposiums and FDP program.

Abstract: Energy Efficiency (EE) and Spectrum Efficiency (SE) are two key performance metrics in the sixth generation (6G) wireless communication networks due to the ultra-massive connectivity requirements in future Internet of Things (IoT) scenarios such as smart cities, healthcare, automation in industries, environmental gas monitoring etc. Reconfigurable intelligent surface (RIS)-looks promisig to offer relaible and seamless wirleless link connection  to simultaneously achieve high EE and SE in various applications on challenging wireless environment. To address spectrum scarcity, cognitive Radio (CR) and to meet energy issues, RF energy harvesting (EH) have also been integrated in RIS- CR-IoT communications in recent times. This lecture will talk about scope, challenges and opportunities in RIS-aided SE and EE communications for some IoT applications.

Keynote  Speaker 2 : Dr. Iacovos Ioannou 

Dr. Iacovos Ioannou is an Assistant Professor at EUC. He earned his BSc in Computer Science from the University of Cyprus in 2006 and an MSc in Information Security from the Open University of Cyprus. He received his PhD in 2021 from the University of Cyprus and is also a researcher with the CYENS Centre of Excellence in the SNS MRG. His research focuses on 5G/6G and beyond, with emphasis on D2D communication and cell-free networks, leveraging AI, ML, DAI and mini power grids.

Abstract: In this keynote, I will present a unified BDIx-driven distributed AI framework that brings autonomous, explainable intelligence to the very edge of 5G/6G networks and nano-grid energy systems. Building on our work in the ADROIT-6G project, I will demonstrate how BDIx agents—combining beliefs, desires, intentions, and explicit “why” explanations—can orchestrate device-to-device connectivity, spectrum, and power resources in real-time, under uncertain and highly dynamic conditions. By embedding these agents into edge and near-edge nodes, we move from static configurations and rigid policies to a living, adaptive control layer that can learn, reason, and justify its actions while respecting latency, reliability, and energy constraints.

The talk then extends this intelligence from communication networks into nano-grid and micro-grid energy management, treating each nano-grid as a “prosumer” agent that must balance local renewables, storage, EV charging and critical loads. I will explain how ANFIS-based plan libraries, linear programming, and swarm-based optimization (PSO) work together with BDIx to co-optimize power flows, costs, and emissions across multiple interacting nano-grids. Using results from detailed simulations and real-world use cases, I will highlight the practical benefits—reduced energy bills, more resilient grids, and greener operations—as well as the broader vision: a unified, AI-driven regional innovation ecosystem where 6G connectivity and sustainable energy infrastructures co-evolve and reinforce each other.

Keynote  Speaker 3 : Dr. SUDHAN MAJHI - AI/ML for 6G wireless Communication

SUDHAN MAJHI received an M.Tech degree from the Indian Institute of Technology (IIT) in Kharagpur, India and a Ph.D. degree from Nanyang Technological University (NTU), Singapore. He has post-doctoral experience with the University of Michigan, Dearborn, USA, the Institute of Electronics and Telecommunications Rennes (IETR), France, and Nanyang Technological University, Singapore.

Currently, he is an associate professor in Electrical Communication Engineering (ECE) at the Indian Institute of Science, Bangalore. Before moving to IISc, he was Associate professor at IIT Patna. He is a fellow of Sir Visvesvaraya Young Faculty Research, a Fellow of IEI, and a Fellow of IETE. He has received the best academic award from National Instrument, Singapore. He has received SERB-TETRA and SERB-STAR awards in 2022 and 2023, respectively. He was an Editor of the IEEE Transactions on Vehicular Technology Journal, senior editor of IEEE Communications Letters. Currently, he is editor of the IEEE  Wireless Communication Letters and the IEEE Transactions on Communications. In 2024, he received Best Editor from IEEE Wireless Communication Letters. His research interest is signal processing for 6G wireless communications. He teaches a popular online course on AI/ML for wireless communication. 

Abstract: In this talk, we will explore the potential implementation of several physical layer blocks using AI/ML algorithms, including IF estimation, symbol rate estimation, channel estimation, modulation classification, early ACK/NACK activation, and AI/ML-based LDPC decoding. We will conclude with a discussion of possible future directions for AI/ML in wireless communications