Prof. Domenico Ciuonzo

University of Naples Federico II, Italy 

D. Ciuonzo received his Ph.D. in 2013 from Univ. of Campania. He has held the following visiting appointments: NATO CMRE (IT), UCONN (US), NTNU (NOR), CTTC (ES). He is a Track-Chair for IEEE WCNC 2024, a publication chair for IEEE TMA 2023, an elected member of IEEE SPS SPCOM technical committee and a member of the “Conferences and Events Committee” of the IEEE IoT Technical Community. He has served as Associate EiC for the IEEE Comm. Letters, Tech. Editor for the IEEE Trans. on Aerospace and Electronic Systems, Lead Guest Editor for the IEEE IoT Magazine. His reviewing and editorial activities were recognized by the IEEE Comm. Letters, IEEE Trans. on Comm., IEEE Trans. on Wireless Comm., and MDPI, which nominated him Exemplary Reviewer and Editor for 14 times. He is the recipient of two Best Paper awards (IEEE ICCCS 2019 and Elsevier Computer Networks 2020), the 2019 Exceptional Service award from IEEE AESS, the 2020 Early-Career Technical Achievement award from IEEE SENSORS COUNCIL for sensor networks/systems and the 2021 Early-Career Award from IEEE AESS. His research interests fall within the areas of data fusion, network traffic analysis, statistical signal processing, IoT & wireless sensor networks, and AI. He has co-authored 140+ journal and conference publications to top-notch venues. He is co-author of the IET book “Data Fusion in Wireless Sensor Networks: A Statistical Signal Processing Perspective”. Since 2016 he is an IEEE Senior Member. D. Ciuonzo is the co-PI of the PRIN-22 “GARDEN” and serves as independent reviewer/evaluator of research and implementation projects and project proposals co-funded by many EU and non-EU parties.

Speech Title: Towards Decentralized Detection in Smart IoT Environments

Abstract: With the rise of the Internet of Things (IoT), billions of tiny devices with sensing, computing, and communication capabilities are transforming everyday life in areas such as connected industries, smart cities, and healthcare. These devices must not only use existing Internet standards for data transfer and communication but also interact with the physical environment to "sense" it. Wireless sensor networks (WSNs), composed of spatially-distributed sensors, play a key role in enabling decentralized inference, such as detecting phenomena or estimating parameters. However, their effective use faces challenges, including (i) uncertainties in sensor modeling, (ii) congested wireless channels, and (iii) limited sensor battery life.

This talk explores solutions rooted in composite hypothesis testing and advanced 6G technologies, with a focus on reconfigurable intelligent surfaces (RIS) and holographic surfaces. These innovations enable dynamic control of electromagnetic waves, enhancing communication reliability, energy efficiency, and sensing capabilities, thereby reshaping the landscape of smart environments.

Assoc. Prof. Azura Binti Che Soh

Universiti Putra Malaysia, Malaysia

Azura Binti Che Soh (Senior Member, IEEE) received the B.Eng. degree in electronics/computer engineering and the M.Sc. degree in electrical and electronic engineering from Universiti Putra Malaysia, (UPM), Seri Kembangan, Selangor, in 1999 and 2002, respectively, and the Ph.D. degree in electrical engineering from Universiti Teknologi Malaysia, in 2011. She is an Associate Professor with the Department of Electrical and Electronic Engineering, Faculty of Engineering, UPM. She was the main Researcher of the Control System and Signal Processing (CSSP) Research Center, Department of Electrical and Electronics Engineering, UPM. She was a Coordinator of the Control and Automation of Laboratory and an Associate Researcher with the MYAGEING Institute. She is supervising three Ph.D. and six M.Sc. directly under her supervision, including ten Ph.D. and 16 M.Sc. co-supervision postgraduate students. She has published 64 journals and 69 proceedings. Her research interests include intelligent control systems, control systems, and system modeling.