Enhancing Diversity in Biomedical Data and Model Fairness for Healthcare Innovations

Prof. Rosa H. M. Chan  

City University of Hong Kong, Hong Kong SAR

Abstract

Artificial intelligence of things (AIoT) is advancing health and performance assessment by offering accessible, low-cost solutions for continuous and portable physiological monitoring. By integrating advanced AI algorithms with IoT technologies, AIoT enables the seamless collection and analysis of physiological and behavioural metrics, including electroencephalogram (EEG), electrocardiogram (ECG), electromyogram (EMG), and movement patterns. In particular, these metrics provide comprehensive insights into the biological neural system by reflecting brain activities, cerebro-cardiovascular health, and neuromuscular coordination.  Leveraging common sensors such as electrodes and inertial measurement units, AIoT systems operate seamlessly across diverse environments spanning clinical settings, daily living activities, and athletic performance.

By addressing demographic variability, AIoT innovations are moving towards fairness and inclusivity in model design, aiming to provide more equitable and personalized outcomes for diverse populations. Drawing on extensive collaborative research efforts, these innovations are pioneering new approaches in sports science, injury prevention, and recovery strategies. With data-driven, adaptive feedback, AIoT holds the promise to significantly enhance well-being, optimize athletic performance, and support personalized health solutions

Biography

Dr. Rosa H. M. Chan is a Professor in the Department of Electrical Engineering at City University of Hong Kong. Her research interests include computational neuroscience, neural prosthesis, and human-computer interaction. She received a B. Eng. (1st Hon.) degree in Automation and Computer-Aided Engineering from The Chinese University of Hong Kong in 2003. She was later awarded the Croucher Scholarship and Sir Edward Youde Memorial Fellowship for Overseas Studies in 2004. She received her Ph. D. degree in Biomedical Engineering in 2011 from the University of Southern California, where she also earned her M. S. degrees in Biomedical Engineering, Electrical Engineering, and Aerospace Engineering.

She was the co-recipient of the Outstanding Paper Award of IEEE Transactions on Neural Systems and Rehabilitation Engineering in 2013, for their research breakthroughs in mathematical modeling for cognitive prosthesis. She also shared the Gold Medal in Inventions Geneva Evaluation Days (IGED), a virtual edition of the International Exhibition of Inventions of Geneva, in 2021, for a youth sports education and management SaaS platform based on AIoT.   Alongside her research, Dr. Chan was also recognized for her teaching with the College of Engineering Outstanding Teaching Award in 2024.

Dr. Chan serves as the Vice President of Finance for the IEEE Engineering in Medicine and Biology Society (EMBS). She chaired the Hong Kong-Macau Joint Chapter of IEEE EMBS in 2014, and elected to the IEEE EMBS Administrative Committee (AdCom) as Asia Pacific Representative (2018-2022). Currently, she is an associate editor of IEEE Transactions on Neural Systems and Rehabilitation Engineering and IEEE Reviews in Biomedical Engineering, and serves on the editorial boards of the Journal of Neural Engineering and IEEE Open Journal of Engineering in Medicine and Biology.

Virtual Power Plant (VPP) as Future Power Generation Technology

Prof. Dr. Heri Suryoatmojo

Institut Teknologi Sepuluh Nopember, Indonesia

Abstract

The Virtual Power Plant (VPP) concept is different from the traditional power plant, where all power plants will be distributed to each electrical energy customer. Each customer who is part of this VPP will be able to share the electrical energy generated (electricity sharing) through a business process regulated by the electricity company that manages all VPP units. This model enhances accessibility and participation in energy generation, allowing a wider range of users to be actively involved in sustainable energy solutions.

The VPP product prototype includes both hardware and software. In general, the hardware consists of an electricity generation system and its supporting devices, while the software integrates energy management and a payment gateway. The benefit of this system is that it enables more communities to contribute to the production of environmentally friendly electrical energy from solar panels, wind, or storage systems. Each of these power generators will be able to communicate with one another, ensuring automated operational patterns, with tariff settings determined by the electricity company as the provider.

If at any time electricity requirements cannot be met, the smart panel will request to import electricity. This request will be submitted to the IoT Energy Management and Payment System (IoT EMPS). The IoT EMPS will then automatically forward the electricity request to the IoT EMPS system from the grid. IoT EMPS will also measure electrical energy usage and determine the payment, creating a more inclusive and efficient energy-sharing ecosystem.

Biography

Prof. Dr. Heri Suryoatmojo is a professor and currently serves as the Secretary of the Department of Electrical Engineering at Institut Teknologi Sepuluh Nopember (ITS), Indonesia. His academic and research career has focused on advancing sustainable and intelligent energy solutions, particularly in the areas of power electronics, electric drive systems, and AI-driven control strategies. He earned his Bachelor’s and Master’s degrees in Electrical Engineering from ITS before pursuing a Ph.D. at Kumamoto University, Japan.

His research contributions extend to the development of Virtual Power Plants (VPPs) and decentralized energy management systems, which are key to future smart grid technologies. He is actively involved in the Renewable Energy Integration Demonstrator in Indonesia (REIDI) project, where he works on integrating artificial intelligence and IoT into energy management solutions. His expertise also includes Brushless Direct Current (BLDC) motor control, where he applies adaptive AI-based control techniques to optimize electric vehicle performance.

Beyond academia, Prof. Heri collaborates with industry partners and actively mentors young engineers and researchers. He is also involved with the ITS Bayucaraka team, which competes in national and international autonomous robotics competitions, focusing on innovations in unmanned aerial vehicles and flying robots.

Revolutionizing Human-Device Intelligent Interaction for an Inclusive Future

Prof. Ir. Dr. Norrima Mokhtar 

Universiti Malaya, Malaysia     

Abstract

Advancements in artificial intelligence (AI), machine learning, and human-computer interaction (HCI) are transforming the way humans engage with digital systems. As society embraces a more connected and intelligent future, there is a pressing need for adaptive, accessible, and inclusive interaction frameworks that cater to diverse user needs. This session explores potential cutting-edge innovations in human-device intelligent interaction, focusing on technologies that enhance usability, personalization, and accessibility for all, including individuals with disabilities.  Integration of natural language processing (NLP), computer vision, gesture recognition, and brain-computer interfaces (BCI) enable seamless, intuitive communication between humans and devices. Despite remarkable progress, challenges persist in bias mitigation, real-time adaptability, data privacy, and ethical considerations when deploying intelligent interaction systems. Addressing these challenges is crucial to ensuring fairness, security, and usability in future human-device interactions. By advancing intelligent interaction design, this research envisions a human-centric digital ecosystem where technology enhances productivity, inclusivity, and overall quality of life.

Biography

Earned a Bachelor of Engineering (B.Eng) in Telecommunication Engineering from Universiti Malaya in 2000. She was awarded the Panasonic Scholarship to pursue her Master of Engineering (M.Eng) at Oita University, Japan (2003-2006). Additionally, she received the SLAB/SLAI scholarship to complete her Ph.D. in Electrical Engineering at Universiti Malaya (2008-2012).

Between 2000 and 2002, she worked as a Telecommunication Engineer at Echobroadband Sdn. Bhd., where she contributed to upgrading cable TV networks to hybrid fiber coaxial networks in Köln, Germany. Since 2003, she has built a distinguished academic career at Universiti Malaya, where she currently serves as an Associate Professor.