DSS 2020 - Keynotes
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Keynote Speakers

Honggang Wang

Title:
Towards Smart and Secure Wireless Health

 

ABSTRACT: Wireless health is the use of Internet, sensing, wireless communications and intelligent techniques in support of healthcare applications. Wireless body area networks (WBANs) with various types of biomedical sensors is one of major infrastructures of connected health and provide an opportunity to address issues in rapidly increasing wireless health applications. However, there are significant challenges in the area, such as improving the performance of WBANs, analytics of large and continuous physiological data collected from biomedical sensors and predictive modeling, and securing data transmission and protecting data privacy, especially in mobile and wireless environments. In this talk, I will introduce two case studies in the related area: (1) developing a wearable biosensor system for the remote detection of life threatening events in infants; (2) a security system to support reliable and secured data transmissions over WBANs.

BIO: Honggang Wang is a full professor of Electrical and Computer Engineering at UMass Dartmouth. He received the "Scholar of The Year" award (only one per year) in 2016 from UMass Dartmouth. His research interests include Internet of Things (IoT), Wireless Health, Body Area Networks (BAN), Cyber and Multimedia Security, Mobile Multimedia and Cloud, Wireless Networks and Cyber-physical System, and BIG DATA in mHealth. He has published more than 200 papers in his research areas. He was an invited participant by National Academic Engineering (NAE) for 2017 German-American Frontiers of Engineering Symposium, as one of about 50 outstanding young engineers from US companies, universities, and government labs. He serves as the steering committee Co-chair of IEEE conference on Connected Health (CHASE) and TPC co-chair of IEEE CHASE 2016, which is a leading international conference in the field of connected health. He has also been serving as the Editor in Chief (EiC) for IEEE Internet of Things journal since 2020, and Associate Editors for IEEE Transactions on Big Data and IEEE Transactions on Circuits and Systems for Video Technology. He was the past Chair (2018-2020) of IEEE Multimedia Communications Technical Committee and is the Chair of IEEE eHealth Committee (2020-2021). He is an IEEE Distinguished Lecturer (ComSoc, 2019-2020).


Bingsheng He

Title:
Large Graph Processing on Heterogeneous Architectures: Systems, Applications and Beyond

 

ABSTRACT: Graphs are de facto data structures for many data processing applications, and their volume is ever growing. Many graph processing tasks are computation intensive and/or memory intensive. Therefore, we have witnessed a significant amount of effort in accelerating graph processing tasks with heterogeneous architectures like GPUs, FPGAs and even ASIC. In this talk, we will first review the literatures of large graph processing systems on heterogeneous architectures. Next, we present our research efforts, and demonstrate the significant performance impact of hardware-software co-design on designing high performance graph computation systems and applications. Finally, we outline the research agenda on challenges and opportunities in the system and application development of future graph processing. More details about our research can be found at http://www.comp.nus.edu.sg/~hebs/.

BIO: Dr. Bingsheng He is currently an Associate Professor and Vice-Dean (Research) at School of Computing, National University of Singapore. Before that, he was a faculty member in Nanyang Technological University, Singapore (2010-2016), and held a research position in the System Research group of Microsoft Research Asia (2008-2010), where his major research was building high performance cloud computing systems for Microsoft. He got the Bachelor degree in Shanghai Jiao Tong University (1999-2003), and the Ph.D. degree in Hong Kong University of Science & Technology (2003-2008). His current research interests include cloud computing, database systems and high performance computing. His papers are published in prestigious international journals (such as ACM TODS and IEEE TKDE/TPDS/TC) and proceedings (such as ACM SIGMOD, VLDB/PVLDB, ACM/IEEE SuperComputing, ACM HPDC, and ACM SoCC). He has been awarded with the IBM Ph.D. fellowship (2007-2008) and with NVIDIA Academic Partnership (2010-2011). Since 2010, he has (co-)chaired a number of international conferences and workshops, including IEEE CloudCom 2014/2015, BigData Congress 2018 and ICDCS 2020. He has served in editor board of international journals, including IEEE Transactions on Cloud Computing (IEEE TCC), IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS), IEEE Transactions on Knowledge and Data Engineering (TKDE), Springer Journal of Distributed and Parallel Databases (DAPD) and ACM Computing Surveys (CSUR). He has got editorial excellence awards for his service in IEEE TCC and IEEE TPDS in 2019.


 

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