Keynote Speakers

Join the public webinar through the following link at Jun 19, 2020 08:30 AM EDT (US and Canada)

https://acm-org.zoom.us/j/95369719909?pwd=QjFNcHY0emFYU2swSXk4OC82SUVMQT09Password: 324547

Music and Wearable Computing for Health and Rehabilitation

Prof. Ye Wang (National University of Singapore)

Abstract: Music is more than just a source of entertainment. Parents sing nursery rhymes to their young children to help them learn their first language; music therapists use music to help patients recover. Wearable sensors are applied in many different domains. I will present our work which combines music and wearable computing technologies specially designed for quantifying patients’ gaits, as well as for facilitating physical exercise via walking, dancing and music making. Towards this end, I will highlight our initial iOS-based Rhythmic Auditory Cueing Evaluation (iRACE) Mobile Application and the subsequent Mobility Analysis (MANA) smart-sensor system which are designed to quantify gaits of people with Parkinson’s disease, as well as Motion Initiated Music Ensemble with Sensors (MIMES) system which is designed to convert human movements to musical sounds for neurologic music therapy.


Short Biography: Ye Wang is an Associate Professor in the Computer Science Department at the National University of Singapore (NUS) and NUS Graduate School for Integrative Sciences and Engineering (NGS). He established and directed the sound and music computing (SMC) Lab (https://smcnus.comp.nus.edu.sg/). Before joining NUS, he was a member of the technical staff at Nokia Research Center in Tampere, Finland for 9 years. His research interests include sound analysis and music information retrieval (MIR), mobile computing, and cloud computing, and their applications in music edutainment and e-Health, as well as determining their effectiveness via subjective and objective evaluations. His most recent projects involve the design and evaluation of systems to support 1) therapeutic gait training using Rhythmic Auditory Stimulation (RAS), 2) motivating exercise via music-based systems, and 3) language learning.





Sensing with WiFi - theory, practice, challenges, and limits

Prof. Mo Li (Nanyang Technological University)

Abstract: This talk will introduce the use of wireless signals for sensing and profiling the environment dynamics. In this talk I will discuss the challenges and limits when applying commodity WiFi devices for motion detection, activity recognition, localization, etc. in various environments and application purposes. I will also introduce our recent efforts in building generic platforms and tools for WiFi sensing including the most recent CSI collection, antenna array tools from my group.

Short Biography: Dr. Mo Li is an Associate Professor from Nanyang Technological University. Dr. Mo Li has been internationally recognized for his research in wireless sensing and networking, IoT for smart cities and urban informatics. Over the past few years, Dr. Li has developed numerous methods, techniques, and systems that resulted in over 100 papers published in top journals and conferences that received over 7000 citations. Dr. Li has been invited to give talks on his research in reputed universities and research institutes including Princeton, Rice, Oxford, ETH Zurich, U. of Goettingen, Yale, Purdue, Tsinghua, Microsoft Research, A*STAR, CAS, etc. Dr. Li has been on the editorial board of IEEE/ACM Transactions on Networking, IEEE Transactions on Mobile Computing, ACM Transactions on Internet of Things, and IEEE Transactions on Wireless Communications, all leading journals in the field. Dr. Li served the technical program committee member for the top conferences in computer system and networking, including ACM MobiCom, ACM MobiSys, ACM SenSys, and many others. Dr. Li received Nanyang Research Award (Young Investigator) in 2016, a prestigious recognition to his research excellence by NTU. Dr. Li is a Distinguished Member of the ACM since 2019, and a Fellow of the IEEE since 2020.