Innovations in satellite networks for advanced architectures and services

To satisfy even more demanding requirements of services and users, complexity of architectures and of technological components must increase as well. Satellite systems, already intrinsically more complex than terrestrial ones, must face also the issue of integration with the other components, not only at technical level but also to convince manufacturers and operators, usually reluctant to pursue this objective. Compliance with 5G/6G standard represents an important step, necessary but not sufficient, to reach this goal. The set up of megaconstellations, with the capability to offer meaningful technical performance and cost/effectiveness, is a further step towards this integration, although the operators preferred to implement proprietary standards. The introduction of the use of satellites in the latest releases of the 3GPP standards, although with some limitations and constraints, and some support from research programs can help the process but more work must be carried out with the aim to fully satisfy user and service requirements (real and hopeful starting point of ant system). The keynote speech will approach the above issues also in the light of some innovative solutions.

LUGLIO MICHELE received the Laurea degree in Electronic Engineering at University of Rome “Tor Vergata” in 1990 and the Ph.D. degree in telecommunications in 1994. In 1992 he worked, as visiting Staff Engineering at Comsat Laboratories (USA). From 1995 to 2004 he was research and teaching assistant at University of Rome “Tor Vergata”, where till now he is associate professor of telecommunications. In 2001 and 2002 he was visiting Professor at the Computer Science department of University of California Los Angeles (UCLA) to teach Satellite Networks class. He teaches “Internet via Satellite” and “Fundamentals of Telecommunications”. He works on designing innovative satellite communications systems for multimedia services, both mobile and fixed. His research is focused on network protocols, resource management, heterogeneous networks and on 5G development with particular regard to satellite systems. He was general chair, general co-chair, technical program chair, keynote speaker at several international conferences He is member of the editorial board of China Communications and of IAENG Engineering letters. From 2018 to 2021 he was affiliated also to the Italian Space Agency and the Italian expert delegate and co-chair of the advisory committee 5JAC of ESA. He is author of more than 200 international publications. He was president of NITEL consortium and is co-founder and president of Romars company.

AI For or Against Privacy?

AI clearly has the potential to advance research in different domains include privacy preservation. However, equally AI can serve the adversarial. With this dual use in mind we will explore our work in the field of AI for and against privacy. We will present several techniques targeting preservation of visual privacy, particularly from video feeds being generated on a mobile device. We will highlight the challenges of real-time privacy preservation and the challenge of embodied AI. In addition, we will discuss our work in adversarial AI ranging from detection algorithms to LLMs.

Imad H. Elhajj is a Professor with the Department of Electrical and Computer Engineering and is the Associate Dean for Academic Transformation at the Maroun Semaan Faculty of Engineering and Architecture at the American University of Beirut. In 2014, he co-founded SAUGO 360, the first startup to be incubated at AUB, and in 2017 he co-founded the Humanitarian Engineering Initiative at AUB. Dr. Elhajj is the past chair of IEEE Lebanon Section. He has served as an ABET program evaluator since 2013. His research interests are at the intersection of robotics, networking, and human machine interfacing with applications in health and environment. Dr. Elhajj is recipient of the IEEE Outstanding Branch Counselor and Advisor Award (2019), the Teaching Excellence Award at the American University of Beirut (2011), the Kamal Salibi Academic Freedom Award (2014), and the most Outstanding Graduate Student Award from the Department of Electrical and Computer Engineering at Michigan State University (2001).

Toward Intelligent Programmable Matter: Distributed Self-Reconfiguration and Embedded AI

Programmable Matter (PM) envisions materials made of autonomous micro-modules capable of changing shape and function in response to their environment. This talk explores the convergence of modular robotics and arti9cial intelligence to realize smart and autonomous programmable matter. We will explore the new self-recon9guration algorithms developed for 3D Catoms, quasi-spherical robots forming dynamic 3D structures, and a distributed MaxFlow-based approach for coordinated movement within porous environments. We will then discuss how embedding arti9cial neural networks within modular systems enables local computation and distributed adaptive behavior. Together, these advances point toward the emergence of AI-driven self-recon9gurable matter for future applications in robotics, materials science, and smart environments.

Abdallah Makhoul is a full professor in Computer Science at University Marie et Louis Pasteur, France. He received the PhD degree in computer science from the University of Franche-Comté (UFC), France, in 2008. He is member of the DISC department (department of computer science and complex systems) of FEMTO-ST institute, where he leads the research team OMNI (Optimization, Mobility and NetworkIng). His current research interests include distributed algorithms, Internet of Things, programmable matter, and AI for industrie 4.0. Prof. Makhoul has supervised 17 doctoral students, demonstrating a strong commitment to graduate education and mentorship. Prof. Makhoul has published over than 160 papers in refereed journals and Conferences. He has been a TPC chair and member of several networking conferences and workshops and guest editor and Reviewer for several international journals. He has coordinated and participated in several national and international research projects.

Digital Twin-Driven Task Offloading for Next-Generation IoT Networks

As the Internet of Things (IoT) scales into complex, heterogeneous environments, traditional paradigms of static processing and centralized control fall short. The future of IoT demands networks that are intelligent, responsive, and capable of dynamic resource management. At the heart of this transformation lies the convergence of digital twins and task offloading, enabling a new generation of adaptive, efficient, and resilient IoT infrastructures. This keynote will present cutting-edge developments in digital twin-based modeling and its integration with task offloading strategies, particularly in fog and edge computing environments. The talk will also highlight our recent research on deep reinforcement learning frameworks for microservice offloading and digital twin-supported vehicular edge computing. Moreover, we will explain how digital twins provide real-time, virtualized representations that enhance contextual awareness and decision-making for IoT tasks. Finally, scalable task offloading architectures and case studies demonstrating the operational impact of these technologies in smart city, transportation, and mission-critical applications will be evaluated as well.

Suat Özdemir has been a faculty member in the Department of Computer Engineering at Hacettepe University in Ankara, Turkey since May 2020. He is the head of Artificial Intelligence Engineering division of the department. Prior to this, he served at Gazi University’s Computer Engineering Department from 2007 to 2020. He holds an MSc in Computer Science from Syracuse University (2001) and a PhD in Computer Science from Arizona State University (2006). With a professional career that bridges academia and industry, Prof. Özdemir has maintained strong collaborations with the industrial sector for over a decade. From 2010 to 2014, he contributed as a senior researcher at TÜBİTAK, Turkey’s leading research institution, working on nationally significant projects. He is an active member of the IEEE and contributes to the global research community by serving as an editor, technical program committee member, and reviewer for numerous high-impact IEEE and ACM journals and conferences. His work spans areas of computer engineering with a particular emphasis on network security, IoT, and emerging computing paradigms.