Keynotes
Keynote #1 (Feb. 25, 2025)
IoT-Mediator - Detecting and Handling IoT Interaction Threats in Multi-Platform
Multi-Control-Channel Smart Homes
Dr. James Xiaojiang Du
James Xiaojiang Du
IEEE Fellow
ACM Distinguished Member
Anson Wood Burchard Endowed-Chair Professor
Department of Electrical and Computer Engineering
Stevens Institute of Technology
Hoboken, NJ, 07030
Abstract
A smart home involves a variety of entities, such as IoT devices, automation applications, humans, voice assistants, and companion apps. These entities interact in the same physical environment, which can yield undesirable and even hazardous results, called IoT interaction threats. Existing work on interaction threats is limited to considering automation apps, ignoring other IoT control channels, such as voice commands, companion apps, and physical operations. Second, it becomes increasingly common that a smart home utilizes multiple IoT platforms, each of which has a partial view of device states and may issue conflicting commands. Third, compared to detecting interaction threats, their handling is much less studied. Prior work uses generic handling policies, which are unlikely to fit all homes. We present IoT-Mediator, which provides accurate threat detection and threat-tailored handling in multiplatform multi-control-channel homes. Our evaluation in two real-world homes demonstrates that IoT-Mediator significantly outperforms prior state-of-the-artwork. This work has been published at one of the top four security conferences - USENIX Security 2023.
Reference
H. Chi, Q. Zeng, X. Du, "Detecting and Handling IoT Interaction Threats in Multi-Platform Multi-Control-Channel Smart Homes”, USENIX Security 2023, August. 2023, Anaheim, CA.
Bio
Dr. James Xiaojiang Du is the Anson Wood Burchard Endowed-Chair Professor in the Department of Electrical and Computer Engineering at Stevens Institute of Technology, USA. He was a tenured professor at Temple University between August 2009 and August 2021. Dr. Du received his B.E. and M.E., from Tsinghua University, Beijing, China in 1996, and 1998 respectively. He received his M.S. and Ph.D. degree in Electrical Engineering from the University of Maryland, College Park in 2002 and 2003, respectively. His research interests are security, wireless networks, and systems. He has authored over 500 journal and conference papers in these areas, including the top security conferences such as IEEE Security & Privacy (S&P / Oakland), USENIX Security, and NDSS.
Dr. Du has been awarded more than 8 million US dollars research grants from the United States National Science Foundation (NSF), US National Security Agency (NSA), US Army Research Office, US Air Force Research Lab, the State of Pennsylvania, and Amazon. He won the best paper award at IEEE ICC 2020, IEEE GLOBECOM 2014 and the best poster runner-up award at the ACM MobiHoc 2014. He serves on the editorial boards of three IEEE journals. He was the chair of multiple IEEE/ACM conferences, including General Co-Chair of IEEE/ACM IWQoS 2023, General Co-Chair of EAI SecureComm 2023, TPC Chair of IEEE CloudNet 2023, and Lead Chair of the Communication and Information Systems Security Symposium of IEEE Globecom 2023.
Dr. Du is an IEEE Communications Society Distinguished Lecturer 2023-2024. He is an IEEE Fellow, an ACM Distinguished Member, and an ACM Life Member.
According to Google Scholar, Dr. Du’s total number of citations is over 27,000, and his h-index is 81 (as of April 2024).
Keynote #2 (Feb. 26, 2025)
Wireless Foundational Models
Pr. Merouane Debbah
Prof. Merouane Debbah
Khalifa University
Abstract
As wireless networks evolve toward 6G and beyond, the integration of AI and advanced data-driven paradigms is transforming the landscape. Foundational models, widely adopted in natural language processing, are now being tailored to the wireless domain, enabling unprecedented capabilities in spectrum management, network optimization, and adaptive communications. In this talk, we will explore how these models—grounded in large-scale pretraining and fine-tuning—revolutionize wireless systems by enabling seamless generalization, task adaptation, and intelligent decision-making. By drawing parallels with foundational models in AI, we will discuss the potential of these frameworks to address challenges in dynamic wireless environments, paving the way for smarter, more efficient, and robust networks.
Bio:
Mérouane Debbah is a Professor at Khalifa University of Science and Technology in Abu Dhabi and founding Director of the KU 6G Research Center. He is a frequent keynote speaker at international events in the field of telecommunication and AI. His research has been lying at the interface of fundamental mathematics, algorithms, statistics, information and communication sciences with a special focus on random matrix theory and learning algorithms. In the Communication field, he has been at the heart of the development of small cells (4G), Massive MIMO (5G) and Large Intelligent Surfaces (6G) technologies. In the AI field, he is known for his work on Large Language Models, distributed AI systems for networks and semantic communications. He received multiple prestigious distinctions, prizes and best paper awards (more than 40 IEEE best paper awards) for his contributions to both fields and according to research.com is ranked as the best scientist in France in the field of Electronics and Electrical Engineering. He is an IEEE Fellow, a WWRF Fellow, a Eurasip Fellow, an AAIA Fellow, an Institut Louis Bachelier Fellow, an AIIA Fellow and a Membre émérite SEE. He is actually chair of the IEEE Large Generative AI Models in Telecom (GenAINet) Emerging Technology Initiative and a member of the Marconi Prize Selection Advisory Committee.
Keynote #3 (Feb. 27, 2025)
Ubiquitous Networks
Requirements, Protocols and Applications
Richard Li, PhD
Richard Li, PhD
Chair Professor, Network Technologies
Southeast University, China
Abstract
The Internet has been so successful that we want to use it pervasively for what it was not originally designed for, especially for applications and services enabled by 5G/6G, for example, connected industrial control and automation, connected vehicles, holographic type communications. The increasing demand for such new applications and services is bringing the current Internet to the limits of what it could support, and new services are taking the current networks to their breaking point. Emerging applications are exploding in complexity and yield to massive tradeoffs between throughput, latency, packet loss and retransmission, which in turn restricts the advancement and deployment of emerging applications and services over the Internet. In this talk, I will analyze challenges and trends, summarize technical gaps regarding current networking capabilities, propose some new networking principles, outline a new approach to digital packetization and packet transmission, in particular discuss KPI-Guaranteed Communications, Contract-First Routing and Forwarding, Qualitative and Semantic Communications. I will show that all challenges can be addressed in a new and uniform network packet protocol that promises to unleash innovations to power the next wave of future networking applications.
Bio
Dr. Richard Li is Chair Professor of Network Technologies, School of Computer Science and Engineering, Southeast University, Nanjing, China. Prior to joining Southeast University in April 2024, Richard worked with Futurewei Technologies, aka Huawei R&D USA, from 2007 to 2024 as Chief Scientist, SVP, and Head of Network Technologies Lab in the San Francisco Bay Area, USA. Before that, Richard worked with Cisco and Ericsson on their networking products, technologies, solutions and network operating systems.
Richard also served as the Chairman of the ITU-T FG Network 2030 from 2018 to 2020, the Vice Chairman of the Europe ETSI ISG Next-Generation Protocols from 2016 to 2019, and Chairs of steering committees and technical program committees of some academic and industrial conferences. He was a recipient of the 2023 IEEE MMTC Outstanding Researcher Award, 2023 MMTC Best Conference Paper Award, and 6 other Best Paper Awards in international conferences.
Richard was a keynote speaker in IEEE Globecom, Infocom, Healthcom, HPSR, NetSoft, UNet, CNSM, and a frequent speaker in 6G-related conferences, among others. During his career, Richard spearheaded network technology innovation and development in Packet-Switched Networks, Routing and MPLS, Mobile Backhaul Networks, Metro and Core Networks, Data Center, Cloud and Virtualization with 65 US-granted patents and 100+ publications. He serves on the advisory board for IEEE IoT Journal, as a technical editor for IEEE Network Magazine, and guest editors for special issues of some journals. His current interests include next-generation network architectures, protocols, algorithms, and systems in the support of emerging and forward-looking applications and industry verticals, especially in the context of 5G/6G and Network 2030.