Pr. Vincenzo Piuri has received his Ph.D. in computer engineering at Polytechnic of Milan, Italy (1989). He is Full Professor in computer engineering at the University of Milan, Italy (since 2000). He has been Associate Professor at Polytechnic of Milan, Italy and Visiting Professor at the University of Texas at Austin, USA, and visiting researcher at George Mason University, USA. His main research interests are: artificial intelligence, computational intelligence, machine learning, pattern analysis and recognition, intelligent systems, signal and image processing, biometrics, intelligent measurement systems, industrial applications, digital processing architectures, fault tolerance, cloud computing infrastructures, and internet-of-things. Original results have been published in 400+ papers in international journals, proceedings of international conferences, books, and book chapters. He is Fellow of the IEEE, Distinguished Scientist of ACM, and Senior Member of INNS. He is IEEE Region 8 Director (2023-24), and has been IEEE Vice President for Technical Activities (2015), IEEE Director, President of the IEEE Systems Council, President of the IEEE Computational Intelligence Society, Vice President for Education of the IEEE Biometrics Council, Vice President for Publications of the IEEE Instrumentation and Measurement Society and the IEEE Systems Council, and Vice President for Membership of the IEEE Computational Intelligence Society. He has been Editor-in-Chief of the IEEE Systems Journal (2013-19). He is Associate Editor of IEEE Open Journal on Systems Engineering and has been Associate Editor of the IEEE Transactions on Computers, the IEEE Transactions on Cloud Computing, the IEEE Transactions on Neural Networks, the IEEE Transactions on Instrumentation and Measurement, and IEEE Access. He received the IEEE Instrumentation and Measurement Society Technical Award (2002), the IEEE TAB Hall of Honor (2019), and the Rudolf Kalman Professor Title of the Obuda University, Hungary. He is Honorary Professor at: Obuda University, Hungary; Guangdong University of Petrochemical Technology, China; Northeastern University, China; Muroran Institute of Technology, Japan; Amity University, India; Galgotias University, India; Chandigarh University, India; and BIHER, India.
Personalization, adaptability, and advanced services require a smart analysis of a massive amount of data for understanding the current needs of users and the status of the observed quantities to take informed decisions in advanced applications. Artificial intelligence is essential to extract knowledge from data and support decisions in an evolvable environment. In our daily life, a broad variety of devices and systems need the ability of adapting their behavior to the current needs of users and the environment. Embedded systems can offer support to smart applications by including artificial intelligence solutions. In complex applications requiring several data sources in a network infrastructure, the amount of data is dramatically increasing. To reduce the need of a large communication bandwidth, also in wireless connections, the preliminary data analysis directly performed at the edge of the infrastructure where sensors and other data sources are located allows for reducing the amount of data to be transferred in the network. In edge computing, adaptivity can be introduced by artificial intelligence. This talk will analyze the opportunities offered by artificial intelligence in embedded systems and edge computing to implement smart applications capable of analyzing data and extracting knowledge to support the system operation in a dynamically evolvable environment and with evolvable user needs.
Pr. Abderrahim Benslimane is Full Professor of Computer-Science at the Avignon University/France since 2001. He is Vice Dean of the Faculty of Sciences and Technology and head of the master Degree SICOM. He has been nominated in 2020, 2022, 2024 as IEEE VTS Distinguished Lecturer/Speaker. He is awarded the French award for Doctoral supervision and Research. He has been an International Expert at the French Ministry of Foreign and European affairs (2012-2016). He served as a coordinator of the Faculty of Engineering and head of the Research Center in Informatics at the French University in Egypt. He was attributed the French award of Scientific Excellency (2011-2014). He has been as Associate Professor at the University of Technology of Belfort-Montbéliard since September 1994. He obtained the title to supervise researches (HDR 2000) from the University of Cergy-Pontoise, France. He received the PhD degree (1993), DEA (MS 1989) from the Franche-Comte University of Besançon, and BS (1987) from the University of Nancy, all in Computer Science. He has been nominated IEEE ComSoc Steering Chair of Multimedia Communications TC 2022–2024 and previously served as Vice Chair 2020–2022. He is past Chair of the ComSoc Technical Committee of Communication and Information Security 2017–2019. He is EiC of Inderscience Int. J. of Multimedia Intelligence and Security (IJMIS), Advisory board member of IEEE IoT journal, editorial member of IEEE Transaction on Multimedia, IEEE Wireless Communication Magazine, IEEE Transactions on Vehicular Technology, Elsevier Ad Hoc Networks, Springer Wireless Network Journal and Past Area Editor of Wiley Security and Privacy journal 2017–2019. He is co-founder and serves as General-Chair of the IEEE WiMob since 2005 and of iCOST and MoWNet international conference since 2011. He is serving as Track chair in IEEE WPMC’23, IEEE ICCC 2023 and Conference Chair at ICNC’24 MCC. He served as General Chair of IEEE CNS 2020, Executive Forum Co-Chair at IEEE Globecom 2020, Program vice Chair of IEEE TrustCom 2020, Program Chair of IEEE iThings 2020, Symposium co- chair/leader in many IEEE international conferences such as ICC, Globecom, AINA and VTC. He was Guest Editor of many special issues. He participates to the steering and the program committee of many IEEE international conferences. He was Board committee member, Vice-chair of Student activities of IEEE France section/Region 8; he was Publication Vice-chair and Conference Vice-Chair of the ComSoc TC of Communication and Information Security. He participates to the steering and the program committee of many IEEE international conferences. He has more than 280 refereed international publications (books, conference proceedings, journals and conferences) and more than 20 Special issues. All publications are in my research topics. He supervised more than 22 Ph.D thesis and more than 42 M.Sc. research thesis. For more detail, see my complete CV: http://abderrahimbenslimane.org/.
In Internet of Vehicles (IoV)/ Internet of Things (IoT), availability of devices, reliability of communication, Quality of Service (QoS), and security are all essential for the good functioning of applications. This talk will deal with trust and security in IoT and present some recent work on the topic. Then, a focus will be given on Intelligent and Connected Vehicle monitoring and will present some recent work on the elaboration of some new attacks..
Pr. Chakib ALAOUI Graduated from the University of Massachusetts at Lowell in 2001. He is currently an Associate Professor in Electrical and Computer Engineering at EUROMED university in Fes. His past faculty positions were in The US, Saudi Arabia, and the UAE. His main research interests are Electric Vehicles Technologies, Smart Grids, and Renewable Energy Technologies. Prior to joining the academic community, his worked for several years in Silicon Valley in the US as a senior development and application engineer in the semiconductor industry. He is the co-founder and the coordinator of the research group dedicated to Renewable Energy Integration into the Smart Grid. He participated in the program committee of many national and international conferences. Furthermore, he has several refereed international publications (books, conference proceedings, journals and conferences). Likewise, he supervised several Ph.D. theses and M.Sc. research theses.
As nations confront escalating air pollution and rising prices of fossil fuels, the acceptance of Electric Vehicles (EVs) is rapidly increasing. However, integrating electric vehicles into the electric utility remains a challenge since most of the grids worldwide cannot take the sudden increase of power demand from the newly acquired EVs. This challenge can potentially be transformed into an opportunity for the power utility and the EV users thanks to the implementation of Vehicle-to-Grid concepts. V2G concepts would allow the massive embracing of EVs while performing the needed ancillary services to sustain the electric utility. It is possible to exploit the battery package of an EV, that is in parking for 95% on average, for frequency regulation, peak shaving, load shifting, voltage recovery, renewable energy resources adoption, and other needed services. However, the embracing of the EV to sustain the utility does not come easy, it requires the implementation of smart grid infrastructure, an increase of the supply of energy, and the implementation of V2G concepts on the vehicles.
Dr. Mhamed Zineddine was born and raised in Morocco. He graduated from Mohammed V University in Rabat with a bachelor's degree in computer science and subsequently worked as a programmer at the same university for three years. Dr. Zineddine earned his master’s degree in telecommunications from IONA College in New Rochelle, NY, and his PhD in Information Technology Management from Minnesota, USA. He accumulated extensive experience working as a web developer, network designer, and system engineer in the United States before joining ALHOSN University in Abu Dhabi, UAE, in 2008 as an Assistant Professor. During his tenure there, he held several administrative positions, including chair of the Management Information Systems department and IT director. In recognition of his contributions to IT education, he was awarded the 3rd Asia’s Best Business Schools Award as the best IT professor in 2012. In 2016, Dr. Zineddine joined INSA Euromed in Fes, Morocco, as a Professor and researcher. He currently resides in Fes and has keen interests in IT security, cyber-war, AI, and quantum computing.
The integration of quantum computing and artificial intelligence (AI) into the cybersecurity landscape presents both significant challenges and opportunities. Quantum computing threatens current cryptographic methods by leveraging its ability to perform massive parallel computations, potentially breaking widely used encryption algorithms such as RSA and ECC. In response, the development and adoption of quantum-resistant cryptographic algorithms are critical to safeguarding sensitive data. Concurrently, AI is transforming cybersecurity by enabling advanced threat detection, real-time threat intelligence, and automated response mechanisms. However, AI also introduces new challenges, including the risk of adversarial attacks and ethical concerns related to privacy and bias.
To address these evolving threats, organizations must prepare for quantum computing advancements and leverage AI for proactive security measures. This involves implementing quantum-resistant cryptography, enhancing AI-driven security operations, and fostering collaboration between academia, industry, and government. Continuous investment in research and development, along with workforce training, is essential to build the skills needed for future cybersecurity challenges. By integrating quantum and AI solutions, organizations can strengthen their security posture, improve threat detection, and ensure robust defense mechanisms in an increasingly complex digital environment.