IEEE Cybermatics Congress 2025

M. Jamal Deen

Title: Integrating AI, Smart Sensors and Gait Towards Ubiquitous Healthcare

Affiliation: Distinguished University Professor, McMaster University, Canada

Abstract

The convergence of artificial intelligence (AI) and smart sensor technologies is revolutionizing healthcare by enabling real-time monitoring, personalized health interventions, and ambient assisted living. In this talk, I will present a comprehensive overview of AI-enabled smart systems across the domains of mobility analysis, smart medical homes, wearable telehealth platforms, and lifestyle management tools. I will then discuss a holistic view of a smart medical home ecosystem driven by sensor fusion, edge computing, and AI analytics that form the core of next-generation aging-in-place and daily activity monitoring. Central to this is the concept of a "brain" or and autonomic decision-making system that orchestrates data flow, interprets contextual information, and delivers intelligent outputs. A key focus of the talk will be our mobility and walking pattern analyzer, a multi-sensor AI-based system that assesses gait and mobility patterns in real-time, empowering early gait diagnostics and rehabilitation tracking. I will also introduce the smart living diary, a multi-modal interface aggregating activity, nutrition, and sleep data to promote healthy lifestyle. Next, I will highlight the growing role of wearable telehealth devices and how AI augments their predictive and diagnostic capabilities. Trends in ubiquitous healthcare and sensor performance will be discussed, alongside ethical and interoperability challenges. The presentation will conclude with a forward-looking perspective on the future of AI-enabled healthcare, emphasizing the need for standardized frameworks, inclusive design, robust privacy-preserving mechanisms and future pathways for research and implementation in smart healthcare systems.

Bio

Dr. M. Jamal Deen is Distinguished University Professor and Director of the Micro- and Nano-Systems Laboratory at McMaster University. His current research interests are nanoelectronics, optoelectronics, nanotechnology, data analytics and their emerging applications to health and environmental sciences. As an educator, he won the Ham Education Medal from IEEE Canada, the McMaster University President’s Award for Excellence in Graduate Supervision, and the MSU Macademics’ Lifetime Achievement Award (highest award at McMaster University voted by the students) for his exceptional dedication to teaching and significant contribution to student life, academia, and the community at large. Recently (2024), he was the inaugural winner of the SM Sze Education Award from the IEEE Electron Devices Society “For impact leadership and global dissemination of biosensor education in underprivileged regions.”
As an undergraduate student at the University of Guyana, Dr. Deen was the top ranked mathematics and physics student and the second ranked student at the university, winning the Chancellor’s gold medal and the Irving Adler prize. As a graduate student, he was a Fulbright-Laspau Scholar and an American Vacuum Society Scholar. His awards and honors include the Callinan Award as well as the Electronics and Photonics Award from the Electrochemical Society; a Humboldt Research Award from the Alexander von Humboldt Foundation; the Eadie Medal from the Royal Society of Canada; and the McNaughton Gold Medal, the Fessenden Medal and the Gotlieb Computer Medal, all from IEEE Canada. In addition, he was awarded the five honorary doctorate degrees in recognition of his exceptional research, scholarly and education accomplishments, exemplary professionalism and valued services.
Dr. Deen has been elected by his peers as Fellow/Academician of thirteen national academies and professional societies including The Royal Society of Canada - The Academies of Arts, Humanities and Sciences (the highest honor for academics, scholars and artists in Canada), the Chinese Academy of Sciences (China’s highest national honor in the area of science and technology and highest academic title), , the National Academy of Sciences India, the Canadian Academy of Engineering, IEEE, APS (American Physical Society) and ECS (Electrochemical Society). He served as the elected President of the Academy of Science, The Royal Society of Canada in 2015-2017. Recently, he was elected the inaugural Vice President (North) of The World Academy of Sciences, representing the developed countries. He was also elected to the Order of Canada, the highest civilian honor awarded by the Government of Canada.

Erol Gelenbe

Title: AI and Queueing Theory Combine Forces for the Detection and Mitigation of Cyberattacks

Affiliation: Institute of Theoretical & Applied Informatics, Polish Academy of Sciences, King’s College London & CNRS I3S, Université Côte d’Azur, Nice, France.

Abstract

Gateway Servers for the Internet of Things, used in critical application areas such as the Internet of Vehicles and health monitoring, must meet stringent Security and Quality of Service (QoS) requirements, offering cyberattack protection with fast response and minimal loss of benign data. Therefore, it is vital to protect these systems with effective traffic shaping, accurate Attack Detection (AD) and Mitigation mechanisms. We will first demonstrate online and federated learning techniques that accurately detect attacks. Measurements of packet floods that convey a cyberattack will be shown to impair the QoS at the Gateways and impede their capability to carry out AD. Using Queueing Theory, we will show that the novel traffic shaping method QDTP will ensure that a Gateway can allow AD to operate promptly during an attack. A new Adaptive Attack Mitigation (AAM) system will be introduced to sample the incoming packet stream, determine whether an attack is ongoing, and dynamically drop batches of packets at the input to reduce the effects of the attack, and minimise the AD overhead and the cost of lost benign packets.
References: Our papers related to this talk appear in the IEEE Internet of Things Journal (2025), Internet of Things (Elsevier, 2024), Information Fusion (Elsevier, 2025), Computers and Industrial Engineering (Elsevier, 2024), Performance Evaluation (Elsevier, 2024), IEEE Trans. on Security and Information Forensics (2024), and IEEE Network (Online 2024, and 2025), IEEE Access 2022, 2023.

Bio

Erol Gelenbe is a Fellow of IEEE, ACM, IFIP, the Royal Statistical Society, the Institution of Engineering and Technology and other organizations. He graduated from METU (Ankara), received his PhD from the Tandon School of Engineering at New York University, and the Doctor of Science degree from Sorbonne University (Paris). He is an expert on System and Network Performance, Cybersecurity and AI. He proved basic mathematical performance results on page fault rates, random access channels, multi-path communications, and optimum database checkpoints, and was involved in the development of commercial performance tools such as QNAP2 and Flexsim. He invented G-Networks with product form solutions, the Random Neural Network, and introduced diffusion approximations for queueing systems with reflecting boundaries. A Professor at the Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, he graduated over 90 PhDs and was awarded the honours of Chevalier de la Légion d’Honneur, Commander of Merit of France and Italy, Commander of the Order of the Crown of Belgium, and Officer of the Order of Merit of Poland. A Fellow of the National Academy of Technologies of France, of the Science Academies of Belgium, Poland and Turkey, Honorary Fellow of the Hungarian Academy of Sciences (Budapest) and the Islamic Academy of Sciences (Amman), he currently Chairs the Informatics Section of Academia Europaea. He won the ACM SIGMETRICS Lifetime Award, the Mustafa Prize, the Grand Prix France-Télécom of the French Science Academy, the IET Innovation Award (Oliver Lodge Medal), and other prizes, and was awarded Honoris Causa PhDs from the University of Rome II, the University of Liège, and the University of Bogaziçi in istanbul. He is an Honorary Professor of the University of Electronic Science and Technology of China.

Bin Hu

Title: Computational Psychophysiology and Mental Health

Affiliation:Beijing Institute of Technology, China

Abstract

In recent years, mental health issues have become increasingly prominent all of the world. According to the report from the World Health Organization, approximately 970 million people suffer from mental disorders, accounting for 13% of the global population. Currently, the diagnosis of mental illnesses primarily relies on physician interviews and Brief Psychiatric Rating Scale (BPRS), lacking objective and quantifiable diagnostic indicators. Besides, the common treatment of mental disorders is pharmacotherapy, which is often associated with significant side effects. The rapid advancement of cutting-edge artificial intelligence and big data technologies offers new opportunities for the diagnosis and treatment of mental disorders. These technologies are shifting the approach to data driven screening and treatment, offering more precise, personalized, and effective solutions. This report will introduce the opportunities and challenges in the field of medical electronics and computational methodologies for the diagnosis and treatment of mental disorders.

Bio

Bin Hu is a (Full) Professor and the Dean of the School of Medical Technology at Beijing Institute of Technology, China. He is a National Distinguished Expert, Chief Scientist of 973 as well as National Advanced Worker in 2020. He is a Fellow of IEEE/IET/AAIA and IET Fellow Assessor & Fellowship Advisor. He serves as the Editor-in-Chief for the IEEE Transactions on Computational Social Systems and an Associate Editor for IEEE Transactions on Affective Computing. He is one of Clarivate Highly Cited Researchers, World's Top 2% Scientists and 0.05% Highly Ranked Scholar from ScholarGPS.

Tsang, Kim Fung

Title: Sustainability Driving Internet of Things and Standards

Affiliation:City University Hong Kong, China

Abstract

To advance sustainable urban development, a High Traffic Smart Metering architecture has been developed to address the increasing complexity of data management in densely populated city environments. As urban populations grow and energy demands intensify, smart metering presents a resource-efficient solution for accurately capturing, processing, and analyzing consumption data. This presentation traces the evolution of ZigBee architecture, emphasizing its progression toward Internet of Things (IoT) standards—particularly the Maturity Index for IoT (IDex). IDex offers globally recognized benchmarks for scalability, cybersecurity, and energy efficiency, guiding cities in deploying digital infrastructure that reduces environmental impact. By aligning with IDex, urban systems are empowered to proliferate data-driven decisions that support climate resilience, optimize resource use, and promote sustainable living.

Bio

Kim Fung TSANG is a Chief Scientist and Professor at the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, PRC. Renowned for his expertise in AIoT (Artificial Intelligence of Things) and smart technology applications, he has received prestigious accolades, including the IoT Heroes Award (2016) and the IEEE Product Safety Engineering Society Outstanding Achievement Award (2021).

KF plays a key role in shaping IoT standards and best practices and serves as a consultant to the Hong Kong Government. He is the architect of IEEE Standard 2668 Maturity Index for IoT (IDex), a novel IoT framework approved by IEEE in December 2022. Since its establishment, he has been actively assisting industries in adopting IDex, particularly through his collaboration with the Electrical and Mechanical Services Department (EMSD) to integrate IEEE 2668 into the government's GWIN system. His ultimate goal is to develop and proliferate IoT Best Practices globally. Additionally, he contributes to quality assurance in IoT systems by serving as an assessor for the Hong Kong Laboratory Accreditation Scheme (HOKLAS).

In alignment with IoT standardization, KF chairs several key IEEE standards workgroups: IEEE 2668 Maturity Index for Internet of Things; IEEE P1451.5.5 LoRa Smart Sensor Interface; IEEE P1451.5.6 SigFox Smart Sensor Interface; IEEE P1451.5.10 NB IoT Smart Sensor Interface. KF also manages about 100 IEEE standards in the capacity as Chairman of Standards Committee, IEEE Consumer Technology Society.

Beyond his contributions to IoT and standards development, TSANG holds numerous roles, including: Vice Chairman of IEEE Fellow Evaluation Committee (FEC) of IEEE Consumer Technology Society; IEEE Fellow Evaluator of IEEE Product Safety Engineering Society; Editor-in-Chief of the IEEE Transactions on Consumer Electronics; Chairman of the Standards Committee, IEEE Consumer Electronics Society; Associate Editor of the IEEE Transactions on Industrial informatics; Associate Editor of the IEEE Transactions on Industrial Electronics; Associate Editor of the IEEE Industrial Electronics Magazine; AdCom member of IEEE Systems Council; President of Asia-Pacific Association of Cognitive Intelligence; Council Member of The Hong Kong Institution of Engineers (HKIE).