All times are in Australian Eastern Standard Time (AEST).
Best Paper Award
Note: SmartWear Workshop Organizing Committee will select the best paper after the presentations. The best paper will be awarded a certificate and a cash prize worth USD 500 sponsored by the School of Computer Science and Engineering (CSE) of the University of New South Wales (UNSW).
Trends for Wearable and Medical Devices
An increase in world population along with a signiﬁcant aging portion is forcing rapid rises in healthcare costs. The healthcare system is going through a transformation in which continuous monitoring of inhabitants is possible even without hospitalization. The advancement of sensing technologies, embedded systems, wireless communication technologies, nano-technologies, and miniaturization makes it possible to develop smart medical systems to monitor activities of human beings continuously. Wearable sensors monitor physiological parameters continuously along with detect other symptoms such as any abnormal and/or unforeseen situations which need immediate attention. Therefore, necessary help can be provided in times of dire need. This seminar reviews the latest reported systems and the trends on wearable and medical devices including implanted sensors to monitor activities of humans and issues to be addressed to tackle the challenges.
Bio: Subhas holds a B.E.E. (gold medallist), M.E.E., Ph.D. (India) and Doctor of Engineering (Japan). He has over 32 years of teaching, industrial and research experience. Currently he is working as a Professor of Mechanical/Electronics Engineering, Macquarie University, Australia and is the Discipline Leader of the Mechatronics Engineering Degree Programme. Before joining Macquarie he worked as Professor of Sensing Technology, Massey University, New Zealand. His fields of interest include Smart Sensors and sensing technology, instrumentation techniques, wireless sensors and network (WSN), Internet of Things (IoT), healthcare, wearbales etc. He has supervised over 50 postgraduate students and over 150 Honours students. He has examined over 80 postgraduate theses.
He has published over 450 papers in different international journals and conference proceedings, written ten books and fifty two book chapters and edited eighteen conference proceedings. He has also edited thirty five books with Springer-Verlag and thirty four journal special issues. He has organized over 20 international conferences as either General Chairs/co-chairs or Technical Programme Chair. He has delivered 415 presentations including keynote, invited, tutorial and special lectures.
He is a Fellow of IEEE (USA), a Fellow of IET (UK), a Fellow of IETE (India). He is a Topical Editor of IEEE Sensors journal. He is also an associate editor of IEEE Transactions on Instrumentation and Measurements and IEEE Transactions on Review of Biomedical Engineering. He is a Distinguished Lecturer of the IEEE Sensors Council from 2017 to 2022. He is the Founding chair of the IEEE Sensors Council NSW chapter.
Sensor-less Energy-free Sensing: The Future of Ubiquitous Context-Awareness for Wearable Devices
With the wide-spread use of wearable devices and their diversity, enabling new ways of interacting with them as well as using them as ubiquitous sensors to enable smart environments presents both a challenge and opportunity. Specifically, many of the wearable devices are expected to be limited in capability and run with minimal power sources/limited battery. To extend their battery lifetime and provide value-added services, we introduce the concepts of sensor-less and energy-free sensing, where we can control wearables and sense the environment without using any external sensors while consuming minimal or no energy. The talk will present these exciting concepts as well as practical applications that leverage them to enable smart environments.
Bio: Moustafa Youssef is a professor at the American University in Cairo and founder & director of the Wireless Research Center of Excellence, Egypt. His research interests include mobile wireless networks, mobile computing, location determination technologies, pervasive computing, and quantum computing. He is an Associate Editor for IEEE TMC and ACM TSAS, served as the Lead Guest Editor of the IEEE Computer Special Issue on Transformative Technologies and an Area Editor of ACM MC2R as well as on the organizing and technical committees of numerous prestigious conferences. He is the recipient of the 2003 University of Maryland Invention of the Year award, the 2010 TWAS-AAS-Microsoft Award for Young Scientists, the 2013 and 2014 COMESA Innovation Award, the 2013 ACM SIGSpatial GIS Conference Best Paper Award, the 2017 Egyptian State Award, multiple Google Research Awards, among many others. He is also an IEEE and ACM Fellow.
Bio: Guoliang Xing is currently a Professor of Information Engineering at The Chinese University of Hong Kong. Previously, he was a tenured faculty member at Michigan State University. He received the D.Sc. degree from Washington University in St. Louis, in 2006. He received three Best Paper Awards and six Best Paper Nominations at leading international conferences. His research interests include Internet of Things (IoT), Smart Health, Autonomous Driving and Cyber-Physical Systems. He has led several multi-disciplinary research projects on smart health systems for Digital biomarkers of Alzheimer’s Disease, activity recognition, family wellness, and sleep/breathing monitoring. Several mobile health technologies developed in his lab won Best App Awards at the MobiCom conference and were successfully transferred to the industry. He received the U.S. NSF CAREER Award in 2010 and the Withrow Distinguished Faculty Award from Michigan State University in 2014. He has published 150+ papers which have been cited for 10,000+. He is a Fellow of IEEE.
Hassan Habibi Gharakheili
Bio: Hassan Habibi Gharakheili is the CTO and a co-founder of CyAmast, a UNSW spin-out that offers a software product for securing IoT devices at the network level. He is also a senior lecturer at UNSW School of Electrical Engineering and Telecommunications. His current research primarily focuses on cybersecurity of connected IoTs, learning-based computer systems, and programmable networks.
Bio: Nabil Alshurafa is an Associate Professor of Preventive Medicine and of Computer Science and Electrical and Computer Engineering at Northwestern University. He received his Ph.D. in Computer Science at the University of California Los Angeles. He currently directs the NIH- and NSF-funded HABits Lab, which aims to bridge computer science and behavioral science research. His current research seeks to enable passive assessment of lifestyle habits with the goal of designing technology-supported lifestyle treatments for obesity, smoking cessation, and mental health. His long-term goal is to design mobile health systems that combine machine learning and wearable sensors to understand human behaviors in their natural setting, as well as psychological state and environmental context, with the ultimate goal of designing interventions that help manage symptoms, prevent illness, and improve health and well-being.