7^th International Conference on Networking and Advanced Systems

Pr. Pietro Manzoni

Title: Next-Gen IoT with Edge AI

The convergence of Artificial Intelligence and the Internet of Things (IoT) opens up a new era of intelligent edge devices, transforming sectors ranging from tourism and healthcare to smart cities. Edge AI is at the core of this evolution, which brings AI capabilities directly to devices operating at the network's edge, closer to where data is generated. This talk presents a key enabler of Edge AI called TinyML, which focuses on deploying machine learning models on ultra-low-power, resource-constrained devices. TinyML enhances energy efficiency, preserves privacy, and supports real-time, autonomous decision-making by enabling local, on-device data processing. Effective deployment in real-world IoT systems also demands robust connectivity and data integration mechanisms that efficiently operate over-constrained, low-bandwidth networks, ensuring seamless integration with lightweight messaging systems and edge-to-cloud pipelines. This talk will also address the architectural considerations and design patterns required to build reliable, scalable communication and data integration layers in constrained environments.

Biography

Pietro Manzoni is a Professor of Computer Engineering at the Universitat Politècnica de València (UPV), Spain. He received a master's degree in Computer Science from the Università degli Studi of Milan, Italy, in 1989, and a Ph.D. in Computer Science from the Politecnico di Milano, Italy, in 1995. From November 1992 to February 1993, he was an intern at Bellcore Labs, Red Bank, New Jersey, USA. From February 1994 to November 1994, he was a visiting researcher at the International Computer Science Institute (ICSI), Berkeley, California, USA.

His research has consistently focused on leveraging Mobile Wireless Networks to design dynamic and adaptive systems. Currently, his work concentrates on developing solutions for the Internet of Things (IoT), focusing on LPWAN technologies and publish/subscribe (Pub/Sub) communication models. These solutions are applied across various domains, including environmental intelligence and Smart Tourism services. He is especially interested in integrating TinyML-based approaches on resource-constrained devices to enable local, low-power intelligence at the edge. By pushing computational capabilities closer to the data sources, his research seeks to minimize energy consumption and network load while enhancing the autonomy of IoT deployments.

In addition, he investigates the challenges of ensuring seamless and efficient communication across the edgecloud continuum. His work focuses on strategies for distributed processing, adaptive orchestration, and connectivity management, facilitating scalable, resilient, and sustainable IoT systems that operate effectively between edge nodes and cloud infrastructures.

He values empirical research and places a strong emphasis on experimental validation. His methodology is grounded in developing, deploying, and testing working prototypes to rigorously evaluate system performance, scalability, and robustness under real-world conditions.

He currently coordinates the Computer Networks Research Group (GRC) (http://grc.webs.upv.es), is a senior member of the IEEE, and is an active member of the ACM SIGCAS - Computers and Society (https://www.sigcas.org/).

Pr. Lyes Khoukhi

Title: Future Intelligent Vision for Securing Connected Networks

Connected networks play a central role in our digital life. However, ensuring trust in such networks remains one of the serious security hot topics because of the new nature of intelligent attacks. Recently, there has been a huge increase in the number of threats on critical connected networks/infrastructures (like V2X, IoT and 5G, Cloud, and Smart grids); these attacks continue to grow at a rapid rate and cause huge damage at both endusers and data/network operators sides. Several efforts have been conducted by both industry and academia to propose countermeasures solutions, but some of them still suffering from either non scalability or limitive risks hypotheses.

Our topic presents a new vision for securing connected networks including a set of behavioural-based models to mitigate attacks showing the need to cope with the new emerging threats, ranging from data leakage to collaborative attacks. Our vision to secure connected networks is not limited by the need of new attack patterns, but to adapt with the evolution of attacker approaches and threat patterns.

Biography

Lyes Khoukhi is Full Professor of cybersecurity at CNAM Paris University, France. He received the Ph.D degree in computer engineering from the University of Sherbrooke, Canada, in 2006. Between 2007 and 2008, he was a researcher with the University of Montreal in collaboration with Bell-Canada. In 2008, he also worked for Dialexia Corporation-Montreal, in the development of safe communications solutions. In 2009, he joined UTT -University of Technology of Troyes- as assistant professor, where he became Full professor at 2018. From 2020 to 2025, he was Full professor at ENSICAEN (Normandie University). Since September 2025, he joined, as Full Professor on Cybersecurity, CNAM Paris University (CEDRIC research Lab). His research interests include Cybersecurity for networks & attacks detection and prediction, malicious behaviours modelling, access control & security protocols, privacy and personal data protection, and networking. His target areas are IoT, V2X, 5G/6G, Fog/Cloud, and e-health. He has participated as a General chair or program chair of many conferences. He was the Program Chair of NTMS 2025, the Local chair for IEEE LCN 2024, IEEE ICC'23 IoTSN Symposium chair and general chair for LCN 2022. He also served as the program chair of LCN'21, the program co-chair of CyberWorlds'21 & LCN'20, and Symposium chair for IEEE LCN in 2019. He is also the Symposium chair of Globecom'21 MWN Symposium, co-chair of the IEEE LCN On-move for several years (2013-2018) and QoSQoE of IWCMC (2017-2019), and the general chair of NOTERE'16 (13ème Francophone conference, 2016), and UBIROADS'2012. He is the Guest Editor of several special issues, like Springer journal of Annals of Telecommunications of the SI (Internet of Vehicles & Smart City)-2020, about security and protocols issues in V2X. He is also the SIG leader of "Machine Learning for IoT and ad hoc networks" of the IoT ASHN ComSoc Committee of IEEE Communications Society since 2020.

Pr. Yacine Ghamri-Doudane

Title: Large scale distributed sensing and data storage using CAVs : Turning vehicular networks into city-wide perception hubs

The growth in the number of mobile devices today result in an increasing demand for large amount of rich content to support numerous applications. It is however challenging for the current cellular networks to deal with such increasing demand, both in terms of cost and bandwidth that are necessary to handle the “massive” content generated and consumed by mobile users in an urban environment. This is partly due to the connection-centric nature of current mobile systems. Alternatively, the technological advancement in modern vehicles allow us to harness their computing, caching and communication capabilities to supplement infrastructure network while enabling numerous location-based services towards city smartification. It is now imaginable to recruit connected and autonomous vehicles (CAVs) to collect, store and share heterogeneous data on urban streets in order to provide citizens with a various set of such services. In this talk, our aim is to present some of our past results and future research directions on how to efficiently collect and store contents by and within the vehicles themselves in the vicinity of the consumers, aka the urban mobile user, while reducing bandwidth demand and cost. Hence, we will briefly discuss the necessity to define novel centrality metrics, based on the social interest of urban users, to identify and select the appropriate set of best candidate vehicles to perform urban data sensing and collection in a distributed way. Then, we show how complex networks principles and game-theoretic approaches can be leveraged in order to realize a social-aware data storage system to perform collaborative content caching in an urban environment. Discussing how such solutions, necessitating no infrastructure support, could allow novel usages at smart city’s scale will conclude the talk.

Biography

Yacine Ghamri-Doudane is currently Full Professor at the La Rochelle University in France, and the Director of its Laboratory of Informatics, Image and Interaction, L3i (~120 members + ~30 interns per year). Since January 2019, he also holds an Adjunct Professor position at the Walton Institute for Information and Communication Systems Science, South-East Technological University, SETU, Waterford, Ireland. Yacine received an engineering degree in computer science (M.Eng) from the National Institute of Informatics (INI), Algiers, Algeria, in 1998, an M.Sc. degree in signal, image and speech processing from the National Institute of Applied Sciences (INSA), Lyon, France, in 1999, a Ph.D. degree in computer networks from University Pierre & Marie Curie, Paris 6, France, in 2003, and a Habilitation to Supervise Research (HDR) in Computer Science from Université Paris-Est, in 2010.

His current research interests lay in the area of wireless networking and mobile computing with a current emphasis on topics related to the Internet of Things (IoT), Connected and Autonomous Vehicles, Edge Computing Systems, 5G and Beyond as well as Digital Trust. Yacine holds three (3) international patents and he authored or co-authored eight (8) book chapters, about 60 peer-reviewed international journal articles and about 200 peer-reviewed full conference and workshop papers. Since 1999, he participated or still participates to several national and European-wide research projects in his area of interests. Among them six regional research projects (two ongoing), six national-wide research projects (one ongoing), fourteen European-wide or International-wide research projects (two on-going) as well as three EU COST Actions. He also held several industrial funding with companies like Orange, Nokia, Renault, OODrive, Soft@Home (Orange Group) and PANGA. As part of his professional activities linked to the computer networking research community, Yacine also acts as the Chair of the IEEE Smart Cities Technical Community 2.0 Meetings and Conferences Committee since May 2022. He was also part of the IEEE Smart Cities Initiative Steering Committee from 2014 to 2017 as well as since 2022. He acted as the Chair of the IEEE Communications Society (ComSoc) Technical Committee on Information Infrastructure & Networking (TCIIN – previously TCII) from January 2010 till December 2013 and also chaired the IEEE ComSoc Humanitarian Communications Technologies Ad hoc Committee (HCTC) from January 2012 till December 2015. He is Member-at-Large of the IEEE ComSoc Globecom/ICC Technical Content (GITC) Standing Committee for the 2023-2024 term.

He is or had been an editorial board member of the IEEE TVT (ongoing), Elsevier JNCA, Elsevier ComNet, Springer AoT Journals, Wiley WCMC, Guest Editor of IEEE ComMag, IEEE IoT Journal, Springer/EURASIP WCN Journal, co-Editor in Chief of the Elsevier/KICS ICT Express Journal (ongoing) as well as the founding Editor-in-Chief of the IEEE ComSoc Ad Hoc and Sensor Network Technical Committee (AHSN TC) Newsletter. Among other conference involvements, he acted or is still currently acting as the TPC Chair of IEEE LatinCom 2022, IEEE MeditCom 2021, IEEE/IFIP IM 2021, and IEEE CCNC 2015, Symposium co-Chair in IEEE ICC 2009, 2010, 2012, 2018 and 2021 as well as IEEE GLOBECOM 2012 and 2015, Workshop co-Chair for IEEE GLOBECOM 2023, IEEE CloudNet 2024 and IEEE NOMS 2025, as well as Track co-Chair in IEEE CCNC 2023 and 2024 and in IEEE Sensors 2022 and 2023. He is a Senior Member of the IEEE. (CV & Bio: http://goo.gl/6wnUvJ)

Dr. Safia Djemame Zazoua

Title: Quantum Computing and Artificial Intelligence: Synergies, Challenges, and the Future of Intelligent Systems"

Despite the significant advances currently being made in the field of artificial intelligence, this field continues to present various challenges and constraints, suchasthelargeamountofdatarequiredandtheinherentcomplexityinvolved, in addition to the current limitations of available resources. Among the strate- gies proposed to solve these problems is an innovative computing framework called “quantum computing”.

Synergies:Quantum computing helps accelerate complex processes and pro- cess big data using quantum algorithms such as HHL for linear algebra, Grover for search, and quantum machine learning for learning, while artificial intelli- gence helps improve quantum systems in the field of quantum error correction.

Challenges:Current quantum computers (NISQ) are limited by noise, low qubit counts, and high costs.Developing practical QML algorithms and encoding clas- sical data into quantum states remains complex.

Future:The convergence between quantum computing and artificial intelligence creates a new ideal bridge in the field of computing, in almost all areas.No- tably in the medical, financial, agricultural, and other fields via hybrid systems. These impacts are expected in the long term,with possible advances with in 5 to 10 years.

Key words: Quantum Computing , Artificial intelligence , Quantum algo- rithms , NISQ , Hybrid systems , Quantum Machine Learning

Biography

Dr. Safia Djemame Zazoua is senior associate professor and researcher in the Department of Computer Science at Setif1 University, Ferhat Abbas. She is a member of the Artificial Intelligence Laboratory and leads the research team entitled “Next-Gen AI Models and Applications.” Her research interests include quantum computing, artificial intelligence, image processing, optimization using bio-inspired algorithms, metaheuristics.. Her recent work focuses on the application of various quantum machine learning techniques for cancer detection, quantum image processing... Since september 2023, she is the coordinator of the National Thematic Network Master in Quantum Computing.