Keynote  Speaker 1: Dr. Giacomo Morabito - The Internet of AI Agents: Architectures for Distributed Learning and Inference

Giacomo Morabito is Professor of Telecommunications at the University of Catania and a Research Affiliate of the Italian National Inter-University Consortium for Telecommunications, CNIT. He received his Ph.D. in Electronic, Computer and Telecommunications Engineering from the University of Catania and previously worked as a Research Engineer at the Broadband Wireless Networking Laboratory of the Georgia Institute of Technology.

His research interests include wireless and mobile networks, distributed artificial intelligence, the Internet of Things, digital twins, and network architectures for emerging intelligent systems. He has authored more than 160 papers in international journals and conference proceedings, which have received over 35,000 citations, and currently has an h-index of 40.

Professor Morabito has coordinated and managed several European, national, and industrial research projects, including the EU Horizon 2020 project COG-LO. He currently serves as Co-Principal Investigator of COHERENT, a major project within the Italian RESTART programme. He has also served on the editorial boards of leading international journals and has held senior organizational roles in major IEEE, ACM, and IFIP conferences.

Abstract: Artificial intelligence is evolving from centralized models running in isolated platforms toward distributed populations of autonomous agents operating across devices, edge infrastructures, cloud systems, robots, vehicles, digital twins, and cyber-physical environments. These agents will exchange not only data, but also models, knowledge, decisions, and actions. They will learn collaboratively, adapt to changing conditions, and coordinate their behaviour, giving rise to what can be described as an Internet of AI Agents.

This keynote examines the architectural foundations required to support distributed learning and inference across heterogeneous computing and communication infrastructures. It will discuss approaches such as federated and collaborative learning, split inference, model and task partitioning, knowledge exchange, agent discovery, semantic interoperability, and the joint orchestration of communication, computation, storage, and energy resources.

The talk will also explore why current solutions may be insufficient for ecosystems composed of autonomous and continuously evolving entities. Such systems introduce demanding requirements in terms of latency, reliability, scalability, energy efficiency, security, trust, provenance, and accountability. In many applications, the network must become more than a transport infrastructure: it must provide an intelligent coordination fabric supporting the interaction and lifecycle of distributed agents.

Keynote  Speaker 2: Dr. Chalee Vorakulpipat - Post-Quantum Cryptography (PQC): Emerging Cybersecurity, Concepts and Practical Readiness

Dr. Chalee Vorakulpipat is currently the Director of the Communication and Network Research Group at the National Electronics and Computer Technology Center (NECTEC), Thailand. He is the founding head of the Cybersecurity Laboratory at NECTEC and previously served as the Director of the Center for Research and Development at the Office of the Personal Data Protection Committee (PDPC). Prior to leading the Research Group, he worked as Head of ThaiCERT, System Analyst and System Developer. His research interests include Information Security, Data Protection, Digital Transformation, and Health IT. He is a recipient of the 2019 ISC2 Information Security Leadership Award and a number of ICT awards at the national level, including the National Research Council’s Best Ph.D. Thesis Award and the Mobile e-Government Award. He received B.Eng. in Electronics Engineering from King Mongkut’s Institute of Technology Ladkrabang, M.S. in Information Technology from Kasetsart University, and Ph.D. in Information Systems from University of Salford. He holds professional certificates including CISSP, CISA, PMP, and IRCA (ISMS Lead Auditor).

Abstract: As quantum computing advances rapidly, traditional public-key encryption faces an impending expiration date, presenting a critical security challenge for global telecommunications and IT infrastructures. This keynote explores the transition to Post-Quantum Cryptography (PQC), beginning with a review of core cybersecurity principles and the looming threat of adversaries harvesting encrypted data today to decrypt it tomorrow. We will examine newly developed quantum-resistant algorithms, analyze their practical impacts on legacy systems and network performance, and review essential compliance requirements. Furthermore, the discussion connects these global shifts to local readiness activities in Thailand such as specialized cryptographic scanning services and capability-building training programs. Finally, the session outlines a practical framework centered on “Crypto-Agility”, providing leaders with strategic guidance to assess, prioritize, and successfully prepare their organizations for the quantum era.

Keynote  Speaker 3: Dr. LE TRUNG THANH - Silicon Photonic Integrated Circuits for Future Communication and Data Networks: Devices, Systems and Applications

Le Trung Thanh is a Professor of Electronic and Telecommunication Engineering at Phenikaa University, Hanoi, Vietnam, where he is also Rector of the Phenikaa School of Computing. He received the B.Eng. and M.Eng. degrees in electronic and telecommunication engineering from Hanoi University of Science and Technology, Hanoi, Vietnam, in 2003 and 2005, respectively, and the Ph.D. degree in electronic engineering from La Trobe University, Melbourne, VIC, Australia, in 2009, where he was subsequently a Postdoctoral Research Fellow with the Institute of Advanced Study. He was awarded the title of Associate Professor in 2013 and Full-Professor by the State Council for Professorship of Vietnam in 2024, respectively.

He began his academic career at the University of Transport and Communications in 2003 and later held positions at Hanoi University of Natural Resources and Environment and at Vietnam National University, Hanoi (VNU), where he served as Dean and then Rector of the VNU International School from 2015 to 2025 and subsequently as Chairman of the University Council of the VNU University of Engineering and Technology. He founded and leads the Integrated Photonics research group, recognised as a VNU-level strong research group.

His research interests include silicon photonic integrated circuits, multimode interference structures and microring resonators, all-optical signal processing, optical neural networks, and integrated optical sensors for environmental and biomedical monitoring. He has published more than 100 journal and conference papers and has authored five textbooks and five book chapters. He has supervised four Ph.D. and 30 M.Sc. graduates, and has led national and ministerial research projects on photonic sensing and automated environmental monitoring. He serves as a reviewer for Scientific Reports, Optics Express, Optics Communications, Applied Optics and Optik, and has delivered invited papers at the IEEE International Conference on Transparent Optical Networks (ICTON), etc.

Abstract: Electrical interconnects are approaching their practical limits in bandwidth density, latency and energy per bit at precisely the moment when AI data centres, 5G/6G transport and large-scale sensor networks demand another order of magnitude of capacity. Silicon photonics offers a credible answer: complete optical circuits are realised on the silicon-on-insulator platform using standard CMOS foundry processes, so that photonic and electronic functions can be co-designed, co-fabricated and co-packaged at low cost and high volume.

This talk presents a device-to-system view of photonic integrated circuits (PICs) for communications and networking. It starts from the two building blocks that play the role of the transistor in the optical domainmultimode interference (MMI) couplers and microring resonators and shows how general and restricted interference MMI architectures, together with engineered Fano and EIT-like resonances, yield compact, low-loss and fabrication-tolerant functional elements. On this foundation the talk reviews ultra-low-power PAM-4 transmitters for optical interconnects and data-centre networks, mode and wavelength (de)multiplexers, and all-optical logic gates; on-chip optical neural networks and coherent convolution processors that perform inference and image processing at line rate; and highly sensitive integrated optical sensors that feed environmental, marine and biomedical IoT networks. The presentation closes with co-packaged optics, photonic–electronic co-design and integrated quantum photonics as the near-term agenda, and with the opportunities these directions open for the semiconductor and photonics ecosystem of the region.

Keynote  Speaker 4: Dr. Nagarajan V - Artificial Intelligence in Signal Processing: Transforming Data into Intelligent Decisions

Dr. V. Nagarajan is a distinguished academic, researcher, author, and IEEE professional with significant contributions to Electronics and Communication Engineering. He is associated with the Department of Electronics Engineering, Pondicherry University, and has made notable contributions in the areas of Signal Processing, Artificial Intelligence, Wireless Communications, and Emerging Communication Technologies.

With extensive experience in teaching and research, Dr. Nagarajan has guided 25 Ph.D. scholars and contributed more than 200 research publications and book chapters. He has also authored and co-authored six books, reflecting his strong commitment to knowledge creation and dissemination.

A Senior Member of IEEE and Fellow of IETE, he has been actively involved in professional and technical activities at national and international levels. He has played key roles in organizing and supporting several IEEE conferences, technical events, and student-oriented initiatives, promoting research, innovation, and professional excellence.

His research and academic activities have been supported through projects and initiatives involving organizations such as AICTE, IEEE, and DST. Beyond research publications, his major strength lies in mentoring young researchers, inspiring students, and creating opportunities for innovation and collaboration.

Through his sustained contributions to academia, research, professional societies, and student development, Dr. Nagarajan continues to contribute to the advancement of next-generation intelligent communication and signal-processing technologies.

Abstract: Artificial Intelligence (AI) is rapidly transforming the field of signal processing by enabling machines to learn complex patterns directly from data. The integration of AI and signal processing is creating powerful solutions for analysing speech, images, biomedical signals, radar signals, audio, and communication signals. Traditional signal-processing techniques rely heavily on mathematical models and expert-designed features. AI-based methods can automatically learn meaningful features and representations from large and complex datasets.Machine learning and deep learning have significantly enhanced signal detection, classification, prediction, and reconstruction. Convolutional Neural Networks are widely used for image, speech, and time-frequency signal analysis. Recurrent and transformer-based architectures provide powerful approaches for modelling temporal and sequential signals. AI also enables intelligent noise reduction, signal enhancement, anomaly detection, and source separation. In wireless communications, AI can support channel estimation, spectrum sensing, modulation recognition, and resource optimization. In healthcare, AI-driven signal processing assists in analysing ECG, EEG, medical imaging, and other physiological signals. In radar and sensing applications, intelligent algorithms improve target detection, tracking, and recognition. The emergence of edge AI enables real-time signal processing with low latency and reduced communication requirements. Explainable AI is becoming increasingly important for understanding and validating intelligent signal-processing decisions. Privacy, data quality, computational complexity, robustness, and security remain important challenges. Future signal-processing systems are expected to combine model-based approaches with data-driven AI techniques. Generative AI and foundation models are opening new possibilities for signal generation, restoration, interpretation, and multimodal analysis. The convergence of AI, signal processing, and advanced hardware will enable increasingly autonomous sensing and communication systems. This keynote will explore emerging methodologies, applications, challenges, and future directions in AI-enabled signal processing. It will highlight how intelligent signal processing can bridge the gap between raw data and actionable knowledge. Ultimately, AI-powered signal processing is poised to become a key foundation for next-generation intelligent systems.