The Speakers

Antonio Puliafito

ANTONIO PULIAFITO is a Full Professor of computer engineering at the University of Messina, Italy. His interests include distributed systems, networking, IoT and Cloud computing. He participated in several European projects such as Reservoir, Vision, CloudWave, Beacon, and SLICES. He has contributed to the development of Stack4Things middleware. He is the founderof SmartMe.io, a startup focused on hardware and software solutions to design and manage

Cyber Physical Systems. He is an author and co-author of more than 500 scientific papers.

Giuseppe Tricomi

GIUSEPPE TRICOMI is Assistant Professor at the University of Messina, Italy. His research focuses on distributed and cyber-physical systems, with particular emphasis on human–assistant mediated interaction in complex digital infrastructures. His work investigates how

computational entities (e.g., agents and proxies) enable federated interaction with services, data, and cyber-physical resources across the computing continuum. His research aims to support secure and accountable human–AI collaboration in large-scale systems such as IoT

and Urban CPS. His work lies at the intersection of distributed systems, middleware, and cyber-physical platforms. He contributed to the design of mechanisms within the Stack4Things middleware and has authored over 40 peer-reviewed scientific publications.

Maurizio Giacobbe

MAURIZIO GIACOBBE is Assistant Professor at the University of Messina, Italy. His academic activities focus on computer science, cyber-physical systems, and the Internet of Things (IoT).

His research expertise involves designing dependable and sustainable solutions, with a particular emphasis on developing robust, energy-efficient, and resilient systems for modern smart environments. He has actively contributed to the field through the study of mobile and

context-aware technologies and has been involved in several technical initiatives addressing the challenges of trustworthiness and performance evaluation in distributed ecosystems. His

work consistently seeks to bridge the gap between theoretical modeling and the practical requirements of resilient cyber-physical systems, providing a methodological basis for implementing proactive recovery strategies

Ilinia Ficili

ILENIA FICILI is a Ph.D. candidate at the Department of Engineering of the University of Messina, Italy. Her research focuses on Industrial Cyber-Physical Systems (CPS) with a strong emphasis on the convergence of IoT, Cloud/Edge computing, and Artificial Intelligence. She specializes in distributed and adaptive AI paradigms, particularly Incremental Learning, Federated Learning, and Knowledge Distillation. Her work aims to enable pervasive environmental intelligence across diverse real-world scenarios, including Smart Cities, cultural heritage preservation, UAV fleet coordination, and precision agriculture.

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