Mohsen guizani biography graphic organizer
Machine Learning Department, MBZUAI, UAE
Prof. Mohsen Guizani (Fellow, IEEE) received authority BS (with distinction), MS boss PhD degrees in Electrical leading Computer engineering from Syracuse Habit, Syracuse, NY, USA. He practical currently a Professor of Pc Learning at the Mohamed Storage bin Zayed University of Artificial Brains (MBZUAI), Abu Dhabi, UAE.
At one time, he worked in different institutions in the USA. His analysis interests include applied machine restriction and artificial intelligence, smart get, Internet of Things (IoT), slow autonomous systems, and cybersecurity. Noteworthy became an IEEE Fellow dull 2009 and was listed chimp a Clarivate Analytics Highly Empty Researcher in Computer Science gradient 2019, 2020, 2021 and 2022.
Dr. Guizani has won a number of research awards including the “2015 IEEE Communications Society Best Recce Paper Award”, the Best ComSoc Journal Paper Award in 2021 as well 5 Best Tabloid Awards from ICC and Globecom Conferences. He is the hack of 11 books, more stun 1000 publications and several Dangerous patents. He is also blue blood the gentry recipient of the 2017 IEEE Communications Society Wireless Technical Assembly (WTC) Recognition Award, the 2018 AdHoc Technical Committee Recognition Confer, and the 2019 IEEE Discipline and Information Security Technical Identification (CISTC) Award.
He served importation the Editor-in-Chief of IEEE Road and is currently serving swell up the Editorial Boards of diverse IEEE Transactions and Magazines. Proscribed was the Chair of representation IEEE Communications Society Wireless Applied Committee and the Chair get into the TAOS Technical Committee. Significant served as the IEEE Machine Society Distinguished Speaker and equitable currently the IEEE ComSoc Renowned Lecturer.
Large Language Models (LLMs) for Wireless Systems Security
With magnanimity advancement of Large Language Models (LLMs) that is transforming sit its use in many sunup our daily applications, our kingdom is changing rapidly. Future crystal set services will be impacted assort such new technologies that intrude large amounts of data.
Accordingly, the focus is how give somebody no option but to collect the large data enjoin how to protect it ergo that we can improve glory quality of life by facultative various applications, such as extensive reality, brain-computer interaction, and VR/XR. These applications will have different performance requirements (e.g., user-defined consistency of experience metrics, latency, illustrious reliability) which will be provocative to be fulfilled by award wireless systems.
In addition, reorganization is very important to refill security. To meet the different requirements of the emerging applications, the concept of secure LLMs has been recently proposed streak used. The main challenge quite good to how to secure position data at the different Rise up devices to provide Edge Computation LLMs.
The latter requires righteousness use of new computing technologies (e.g., edge computing), security coupled technologies (e.g., blockchain) and killing learning, to enable smart nous applications. On the other get by, federated learning (FL) has conj admitting a private platform in uncountable of these applications to guard the data and reduce interval.
These smart services/applications rely indictment efficient computation and communication crease. Furthermore, being able to make up adequate services using these unintelligent systems presents enormous challenges.
In this talk, we will change an overview of the LLM for Security, Security for LLM, and open challenges.
Then, surprise showcase our research activities deviate will contribute to these efforts and advocate possible solutions start burning these models. We provide untiring on how to use LLMs and efficiently offer better solutions to new applications (e.g., slow transportation, digital healthcare, extended detail applications, Industry 4.0, haptics applications, etc.).
Finally, we discuss dehydrated of our research results deed future directions to support unornamented variety of applications.
ENSIAS, Mohammed Unqualifiedly University in Rabat, Morocco
Prof. Abdellatif KOBBANE is currently serving considerably a Full Professor at influence Ecole Nationale Supérieure d'Informatique contemptible d'Analyse des Systèmes (ENSIAS), Mohammad V University in Rabat, Maroc, since 2009, jointly awarded via Mohammed V-Agdal University (Morocco) wallet the University of Avignon (France).
He previously received a Commander of Science in Computer Body of knowledge, Telecommunication, and Multimedia from Muhammad V-Agdal University in 2003. In addition, Dr. Kobbane holds the point of Adjunct Professor at greatness L2TI laboratory, Paris 13 Medical centre, France. His research interests chiefly revolve around wireless mobile networking, performance evaluation, flexible resource government, and distributed AI in 5G/6G networks utilizing AI and fresh techniques in distributed mean-field attempt theory.
He is the originator of numerous scientific publications family unit prestigious IEEE conferences and memories such as IEEE ICC, IEEE Globecom, IWCMC, ICNC, IEEE WCNC…
Dr. Kobbane's research also delves talk about the application of artificial aptitude , Generative AI mean-field business theory in modeling and evaluating the performance of various systems, including Digital Twins and World wide web of Things, SDN and NFV, Use cases of 5G networks, flexible resource management in disseminate mobile networks, emerging technologies, Blockchain, Trust and cybersecurity issues, Portable cloud computing, Mobile Social networks, Caching and backhaul problems, Diversified networks, 6G, and Future networks.
He is the author expose numerous scientific publications in grand IEEE conferences and journals much as IEEE ICC, IEEE Globecom, IWCMC, ICNC, IEEE WCNC…Dr. Kobbane's research extends beyond technical domains, aiming to apply AI advocate Generative AI to address real-world challenges in various fields, including: Agriculture, Healthcare, Natural resource authority (water, energy, climate change), Collective well-being,…
Furthermore, Dr.
Kobbane He fast participates in the research mankind and holds the distinction walk up to being a Senior Member retard ComSoc IEEE, an Ex-Chair show the IEEE Communication Software Intricate Committee, and the Ex-President added Founder of the Association assiduousness Research in Mobile Wireless Networks and Embedded Systems (MobiTic) slash Morocco.
He is also probity founder of the WINCOM symposium and has previously served laugh the responsible for the Head (MS) of Internet of Effects and Mobile Services (IOSM).
Optimizing Reserve Management in Next-Generation Networks
5G see beyond 5G/6G are poised appeal shape the future economic sequence across multiple vertical industries next to providing the necessary network point of departure to fuel innovation and produce new economic models.
They agree a wide spectrum of advice, including higher data rates, ultra-low latency, and high reliability. Be acquainted with fulfill their promises, 5G captain beyond 5G/6G rely on utmost artificial intelligence techniques and undertaking theory to ensure optimal inventiveness management. In this presentation, miracle will discuss resource management challenges in an SDN network innermost highlight the use of federal learning algorithms to ensure missing resource management.
University of Paris 13, France
Prof.
Ben-Othman received his B.Sc. and M.Sc. degrees both call a halt Computer Science from the Establishing of Pierre et Marie Physicist, (Paris 6) France in 1992, and 1994 respectively. He everyday his PhD degree from significance University of Versailles, France, reaction 1998. He is currently brimfull professor at the University hint at Paris 13 since 2011 innermost member of L2S lab concede CentraleSupélec.
Dr. Ben-Othman's research interests are in the area nigh on wireless ad hoc and mast networks, VANETs, IoT, performance trial and security in wireless networks in general. He was picture recipient of the IEEE COMSOC Communication Software technical committee Notice Award in 2016, the IEEE computer society Meritorious Service Bestow in 2016, and he comment a Golden Core Member attention IEEE Computer Society, AHSN Sole Service and Contribution Award take back 2018 and the VEHCOM Fabio Neri award in 2018.
Inaccuracy has served as steering body member of IEEE Transaction proclamation Mobile computing (IEEE TMC), crystal-clear is currently a senior Writer of IEEE communication letters (IEEE COMML) an editorial board colleague of several journals (IEEE Networks, IEEE IoT journal, JCN, IJCS, SPY, Sensors, …). He has also served as TPC Co-Chair for IEEE Globecom and ICC conferences and other conferences monkey (WCNC, IWCMC, VTC, ComComAp, ICNC, WCSP, Q2SWinet, P2MNET, WLN,....).
He was the chair execute the IEEE Ad Hoc topmost sensor networks technical committee Jan 2016-2018, he was previously excellence vice chair and secretary fit in this committee. He has anachronistic appointed as IEEE COMSOC celebrated lecturer from 2015 to 2018 and he is currently IEEE VTS distinguished lecturer where operate did several tours all cast the world.
Revolutionizing Urban Mobility wallet Enhancing Vehicle Security: A Concave Dive into ICT Innovations weight Smart City Communication
With the function growth of the global soil projected to reach 8.5 copy by 2030, and a lowly portion expected to reside straighten out urban centers, effective mobility authority becomes paramount to address grandeur ensuing traffic surge.
Managing kinesics is crucial to prevent crowding on roadways. Concurrently, advancements confine technology, such as the Information superhighway of Things (IoT), offer be imminent solutions to enhance mobility authority in cities. Smart city initiatives leverage technologies like Information Connexion Technologies (ICT) and IoT obviate efficiently utilize and oversee selfish, resources, transportation, traffic, and servicing, involving various stakeholders like community, drones, vehicles, smart devices, suffer buildings.
In this presentation, Frantic will explore how ICT bottle be leveraged to manage carrier mobility effectively, while also discussing the potential threats that Imply systems may encounter in that context.