Confirmed Speakers

ShanghaiTech Symposium on Information and Science and Technology

Bo An

School of Computer Science and Engineering, Nanyang Technological University

Associate Professor
IEEE Intelligent Systems' "AI's 10 to Watch"

Xiang Bai

Department of Electronics and Information Engineering, Huazhong University of Science and Technology

Professor
NSFC Career Award for Excellent Young Scholars

Enhong Chen

School of Computer Science and Technology, University of Science and Technology of China

Professor
Vice Dean
IEEE Senior Member
NSFC Career Award for Distinguished Young Scholars

Xu Chen

Department of Data and Computer Science,  Sun Yat-sen University

Professor

 

 

 

 

Xudong Chen

Department of Electrical and Computer Engineering, National University of Singapore

Associate Professor
IEEE Transactions on Microwave Theory and Techniques Associate Editor

Kostas Daniilidis

Department of Computer and Information Science, University of Pennsylvania

Professor

Frank Dellaert

Georgia Tech

Professor
NSF CAREER Award

Atilla Eryilmaz

Department of Electrical and Computer Engineering, Ohio State University

Professor

 

 

 

 

James Gee

University of Pennsylvania

Associate Professor
Director, Penn Image Computing and Science Laboratory
Fellow, American Institute for Medical and Biological Engineering
Fellow, International Society for Magnetic Resonance in Medicine

Richard Hartley

Australian National University

Professor
AAS Fellow

Thomas Hou

Caltech

Charles Lee Powell Professor of Applied and Computational Mathematics
Alfred P. Sloan Research Fellowship
SIAM Fellow
AAAS Fellow
AMS Fellow

Sheng-Kwang Hwang

Department of Photonics, National Cheng Kung University

Professor

 

 

 

 

Nan Jiang

Department of Computer Science, UIUC

Assistant Professor

Tao Jiang

Department of Computer Science and Engineering, University of California

Professor
ACM Fellow
AAAS Fellow

Xiangyan Kong

Shanghai Institute of Microsystem and Information Technology (SIMIT), CAS

Professor

Puxiang Lai

The Hong Kong Polytechnic University

Assistant Professor

 

 

 

 

Lawrence Le

Department of Radiology and Diagnostic Imaging, University of Alberta

Clinical Professor
Medical Physicsist

Xiuling Li

University of Illinois at Urbana-Champaign

Professor
Fellow of the American Physics Society,
Vice President of Finance and Administration for IEEE Photonics Society
IEEE Fellow

Yixue Li

Department of Bioinformatics & Biostatistics, Shanghai Jiaotong University

Professor, Director
Director of Shanghai Society for Bioinformatics
Director of Bio-Med Big Data Center, CAS-MPG PICB, SIBS, CAS
Director of Shanghai Center for Bioinformation Technology

Ming Lin

Department of Computer Science, University of Maryland

Professor
Department Chair

 

 

 

 

Han Liu

Northwestern University

Associate Professor

Jia Liu

Department of Computer Science, Iowa State University

Assistant Professor

Jiaying Liu

Institute of Computer Science & Technology, Peking University

Associate Professor

Ling Liu

College of Computing, Georgia Institute of Technology

Professor

 

 

 

 

Si Liu

School of Computer Science and Engineering, Beihang University

Associate Professor

John C.S. Lui

Department of Computer Science and Engineering, The Chinese University of Hong Kong

Chair Professor
ACM Fellow
IEEE Fellow

Patrick Luk

Cranfield University

Professor

Ke Ma

Shanghai Jiaotong University

Professor

 

 

 

 

Dinesh Manocha

University of Maryland

Professor IEEE
ACM Fellow

Gerard Guy Medioni

University of South California

Professor
ACM Fellow
IEEE Fellow

Yi Mu

Fujian Normal University

Professor

Wei Qiao

University of Nebraska-Lincoln

Professor
Chair of Electrical Engineering Graduate Program
NSF CAREER Award

 

 

 

 

Tony Quek

Information Systems Technology and Design Pillar; Singapore University of Technology and Design

Acting Pillar Head and Associate Professor
Sector Lead, SUTD AI Program
Deputy Director, SUTD-ZJU
IEEE Fellow

Yoichi Sato

University of Tokyo

Chair
Professor

Gaurav Sharma

University of Rochester

Professor of Electrical and Computer Engineering

Dinggang Shen

Center for Image Analysis and Informatics, UNC Chapel Hill, School of Medicine

Jeffrey Houpt Distinguished Investigator
IEEE Fellow
IAPR Fellow
AIMBE Fellow

 

 

 

 

Meixia Tao

Department of Electronic Engineering, Shanghai Jiao Tong University

Professor
IEEE Fellow

C. K. Michael Tse

Department of Electronic and Information Engineering,Hong Kong Polytechnic University

Chair Professor of Electronic Engineering
IEAust Fellow
IEEE Fellow

Mengdi Wang

Department of Operations Research and Financial Engineering, Princeton University

Assistant Professor
MIT Tech Review 35-Under-35 Innovation Award (China region) in 2018

Qijie Wang

Nanyang Technological University

Professor
Director, Centre for OptoElectronics and Biophotonics (OPTIMUS)

 

 

 

 

Xunbin Wei

School of Biomedical Engineering, Shanghai Jiao Tong University

Professor
SPIE Fellow
NSFC Career Award for Distinguished Young Scholars

Yonggang Wen

School of Computer Science and Engineering, Nanyang Technological University, Singapore

Associate Professor
Associate Dean (Research), College of Engineering, NTU Singapore
Acting Director, Nanyang Technopreneurship Centre, NTU Singapore

Huaqiang Wu

Tsinghua University

Professor

Jing Xiang

UC Department of Pediatrics

Associate Professor
Director of MEG Research
Division of Neurology

 

 

 

 

Yi Xing

Department of Pathology and Laboratory Medicine, University of Pennsylvania

Professor
Director, Center for Computational and Genomic Medicine, Children’s Hospital of Philadelphia
Francis West Lewis Endowed Chair
Alfred Sloan Research Fellowship

Hongkai Xiong

Shanghai Jiao Tong University

Professor

Tao Yang

Institute of Semiconductors, Chinese Academic of Science

Principle Investigator

Junjie Yao

Photoacousitic Imagining Lab, Duke University

Assistant Professor

 

 

 

 

Nicholas Zabaras

University of Notre Dame

Viola D. Hank Professor of Computational Science and Engineering
NSF Presidential Young Investigator Award

Junshan Zhang

School of Electrical, Computer and Energy Engineering, Arizona State University

Chair Professor
IEEE Fellow

Pinjia Zhang

Tsinghua University

Associate Professor
NSFC Career Award for Excellent Young Scholars

Hairong Zheng

Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences

Vice President
NSFC Career Award for Distinguished Young Scholars
The Ho Leung Ho Lee Foundation Award

 

 

 

 

Tao Zhou

Chinese Academy of Sciences

Professor
NSFC Career Award for Excellent Young Scholars

 

 

 

 

ShanghaiTech Symposium on Information and Science and Technology

Speakers and Speeches Information

Bo An

School of Computer Science and Engineering, Nanyang Technological University

Title: When AI Meets Game Theory

Abstract:  Artificial Intelligence is changing the world now! In January 2017 CMU’s Libratus system beat a team of four top-10 headsup no-limit specialist professionals, which was the first time an AI had beaten top human players in this game. Libratus’s success is purely based on algorithms for solving large scale games and has nothing to do with deep learning! Over the last few years, algorithms for solving large scale games have also been applied to scheduling security resources in many significant domains including airports, federal air marshals service, coast guard, and wildlife conservation organizations. Game theory has also been applied in many other AI problems such as sustainability, ad-word auction, and e-commerce. This talk will discuss key techniques behind these success and their potential applications in other domains.

Bio:  Bo An is an Associate Professor with the School of Computer Science and Engineering, Nanyang Technological University, Singapore. He received the Ph.D degree in Computer Science from the University of Massachusetts, Amherst. His current research interests include artificial intelligence, multiagent systems, computational game theory , reinforcement learning, and optimization. His research results have been successfully applied to many domains including infrastructure security and e-commerce. He has published over 90 referred papers at AAMAS, IJCAI, AAAI, ICAPS, KDD, WWW, JAAMAS, AIJ and ACM/IEEE Transactions. Dr. An was the recipient of the 2010 IFAAMAS Victor Lesser Distinguished Dissertation Award, an Operational Excellence Award from the Commander, First Coast Guard District of the United States, the 2012 INFORMS Daniel H. Wagner Prize for Excellence in Operations Research Practice, and 2018 Nanyang Research Award (Young Investigator). His publications won the Best Innovative Application Paper Award at AAMAS’12 and the Innovative Application Award at IAAI’16. He was invited to give Early Career Spotlight talk at IJCAI’17. He led the team HogRider which won the 2017 Microsoft Collaborative AI Challenge. He was named to IEEE Intelligent Systems' "AI's 10 to Watch" list for 2018. He was invited to be an Advisory Committee member of IJCAI’18. He is a member of the editorial board of JAIR and the Associate Editor of JAAMAS, IEEE Intelligent Systems, and ACM TIST. He was elected to the board of directors of IFAAMAS and senior member of AAAI.

Jiaying Liu

Institute of Computer Science & Technology, Peking University

Title: Intelligent Visual Computing

Abstract:  Intelligent image/video computing is a fundamental topic in image processing which has witnessed rapid progress in the last two decades. Due to various degradations in the image and video capturing, transmission and storage, image and video include many undesirable effects, such as low resolution, low light condition, rain streak and rain drop occlusions. The recovery of these degradations is ill-posed. With the wealth of statistic-based methods and learning-based methods, this problem can be unified into the cross-domain transfer, which cover more tasks. I will also share some recent progresses of low level vision tasks in my group.

Bio:  Jiaying Liu is currently an Associate Professor with the Institute of Computer Science and Technology, Peking University. She received the Ph.D. degree (Hons.) in computer science from Peking University, Beijing China, 2010. She has authored over 100 technical articles in refereed journals and proceedings, and holds 31 granted patents. Her current research interests include multimedia signal processing, compression, and computer vision. Dr. Liu is a Senior Member of IEEE and CCF. She was a Visiting Scholar with the University of Southern California, Los Angeles, from 2007 to 2008. She was a Visiting Researcher with the Microsoft Research Asia in 2015 supported by the Star Track Young Faculties Award. She has served as a member of the Multimedia Systems & Applications Technical Committee (MSA-TC), Visual Signal Processing and Communications Technical Committee (VSPC-TC) and the Education and Outreach Technical Committee (EO-TC) in IEEE Circuits and Systems Society, a member of the Image, Video, and Multimedia (IVM) Technical Committee in APSIPA. She has also served as the Technical Program Chair of IEEE VCIP-2019/ACM ICMR-2021, the Publicity Chair of IEEE ICIP-2019/VCIP-2018, the Grand Challenge Chair of IEEE ICME-2019, and the Area Chair of ICCV-2019. She was the APSIPA Distinguished Lecturer (2016-2017).

Ke Ma

Shanghai Jiaotong University

Title: Mission Profile Based Reliability Analysis of Power Electronics System

Abstract: 

Bio:  Ke Ma received the B.Sc. and M.Sc. degrees in electrical engineering from the Zhejiang University, China in 2007 and 2010 respectively. He received the Ph.D. degree from the Aalborg University, Denmark in 2013, where he was a Postdoc in 2013 and became an Assistant Professor in 2014. He was part-time consultant with Vestas Wind Systems A/S, Denmark in 2015. In 2016 he joined the faculty of Shanghai Jiao Tong University, China as a tenure-track Research Professor. His current research interests include the power electronics and its reliability in the application of HVDC, renewable energy and motor drive systems. He is now an IEEE senior member, and is serving as Associate Editors for two IEEE journals. In 2016 He was awarded with the “Thousand Talents Plan Program for Young Professionals” of China. He was the receiver of “Excellent Young Wind Doctor Award 2014” by European Academy of Wind Energy, and several prized paper awards by IEEE.

Yi Mu

Fujian Normal University

Title: Content-Centric Networking and Security

Abstract:  Content-centric networks (CCNs) offer an entirely new type of network topology, which provides a new way to distribute information in the data-driven network. Unlike the TCP/IP network topology, which is address-driven, content-centric networks do not require any address. Based on the content-to-consumer paradigm, content-centric networking architecture was proposed for the content to be provided efficiently with great convenience to users. In this talk, the history and concepts of CCN will be presented. In particular, we will discuss its security and propose potential solutions. We will explore the relationship between CCN security solutions and traditional cryptography such as Identity-Based Encryption and Attribute-Based Encryption.

Bio:  Professor Yi Mu received his Bachelor in Physics from Fuzhou University in 1982 and his PhD from the Australian National University in 1994. He is currently a professor in the College of Mathematics and Informatics at Fujian Normal University, China. Before joining Fujian Normal University in 2018, he was a professor in Computing and Information Technology at University of Wollongong, Australia. He was the Head of School of Computer Science and Software Engineering at University of Wollongong, Australia, during 2011-2015. He has undertaken internationally recognised research in many aspects of security research and quantum physics. His current research interests include cryptography, information security and quantum cryptography. He has published over 500 peer-reviewed papers including many seminal works in quantum cryptography and cryptography. He has published in top-quality journals, including IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Computers, IEEE Transactions on Forensics and Security, IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Wireless Communications, IEEE Transactions on CAD of Integrated Circuits and Systems, IEEE Transactions on Services Computing, etc. He has also published many papers at top-tier cryptography and security conferences such as CRYPTO, EURCRYPT, ASIACRYPT, ACACS, PKC, FSE, CT-RSA, and ESORICS. Professor Mu was the editor-in-chief of International Journal of Applied Cryptography and has served as associate editors for several other reputable international journals. His research has been funded by Australian Research Council and National Nature Science Foundation of China, along with research fundings from industry. He has served as program chairs and members of program committee over 200 conferences including ACM CCS, ESORICS, AisaCCS, etc. He is a senior member of the IEEE.

Tony Quek

Information Systems Technology and Design Pillar; Singapore University of Technology and Design

Title: AI: A Networking and Communication Perspective

Abstract:  Recent breakthroughs in artificial intelligence and machine learning, including deep neural networks, the availability of powerful computing platforms and big data are providing us with technologies to perform tasks that once seemed impossible. In the near future, autonomous vehicles and drones, intelligent mobile networks, and intelligent internet-of-things (IoT) will become a norm. At the heart of this technological revolution, it is clear that we will need to have artificial intelligence over a massively scalable, ultra-high capacity, ultra-low latency, and dynamic new network infrastructure. In this talk, we will provide a simple overview of AI for the perspective of networking and communications and share some interesting applications. In addition, we will also share some of our preliminary works in this area.

Bio:  Tony Q.S. Quek received the B.E. and M.E. degrees in Electrical and Electronics Engineering from Tokyo Institute of Technology, Tokyo, Japan, respectively. At Massachusetts Institute of Technology (MIT), Cambridge, MA, he earned the Ph.D. in Electrical Engineering and Computer Science. Currently, he is a tenured Associate Professor with the Singapore University of Technology and Design (SUTD). He also serves as the Acting Head of ISTD Pillar and the Deputy Director of SUTD-ZJU IDEA. His current research topics include wireless communications and networking, security, big data processing, network intelligence, and IoT. Dr. Quek has been actively involved in organizing and chairing sessions and has served as a TPC member in numerous international conferences. He is serving as the TPC Co-Chair for IEEE ISWCS 2019 and the General Chair for IEEE ICCC 2020. He is currently an elected member of the IEEE Signal Processing Society SPCOM Technical Committee. He was an Executive Editorial Committee Member of the IEEE Transactions on Wireless Communications, an Editor of the IEEE Transactions on Communications, and an Editor of the IEEE Wireless Communications Letters. He is a co-author of the book “Small Cell Networks: Deployment, PHY Techniques, and Resource Allocation” published by Cambridge University Press in 2013 and the book “Cloud Radio Access Networks: Principles, Technologies, and Applications” by Cambridge University Press in 2016. Dr. Quek received the 2008 Philip Yeo Prize for Outstanding Achievement in Research, the IEEE Globecom 2010 Best Paper Award, the 2012 IEEE William R. Bennett Prize, the 2016 IEEE Signal Processing Society Young Author Best Paper Award, 2017 CTTC Early Achievement Award, 2017 IEEE ComSoc AP Outstanding Paper Award, and 2016-2018 Clarivate Analytics Highly Cited Researcher. He is a Distinguished Lecturer of the IEEE Communications Society and a Fellow of IEEE.

Gaurav Sharma

University of Rochester

Title: Large Scale Visual Data Analytics for Geospatial Applications

Abstract:  The widespread availability of high resolution aerial imagery covering wide geographical areas is spurring a revolution in large scale visual data analytics. Specifically, modern aerial wide area motion imagery (WAMI) platforms capture large high resolution at rates of 1-3 frames per second. The sequences of images, which individually span several square miles of ground area, represent rich spatio-termporal datasets that are key enablers for new applications. The effectiveness of such analytics can be enhanced by combining WAMI with alternative sources of rich geo-spatial information such as road maps or prior georegistered images. We present results from our recent research in this area covering three topics. First, we describe a novel method for pixel accurate, real-time registration of vector roadmaps to WAMI imagery based on moving vehicles in the scene. Next, we present a framework for tracking WAMI vehicles across multiple frames by using the registered roadmap and a new probabilistic framework that allows us to better estimate associations across multiple frames in a computationally tractable algorithm. Finally, in the third part, we highlight, how we can combine structure from motion and our proposed registration approach to obtain 3D georegistration for use in application such as change detection. We present results on multiple WAMI datasets, including nighttime infrared WAMI imagery, highlighting the effectiveness of the proposed methods through both visual and numerical comparisons.

Bio:  Gaurav Sharma is a professor in the Departments of Electrical and Computer Engineering, Computer Science, and Biostatistics and Computational Biology, and a Distinguished Researcher in Center of Excellence in Data Science (CoE) at the Goergen Institute for Data Science at the University of Rochester. He received the PhD degree in Electrical and Computer engineering from North Carolina State University, Raleigh in 1996. From 1993 through 2003, he was with the Xerox Innovation group in Webster, NY, most recently in the position of Principal Scientist and Project Leader. His research interests include data analytics, cyber physical systems, signal and image processing, computer vision, and media security; areas in which he has 52 patents and has authored over 200 journal and conference publications. He currently serves as the Editor-in-Chief for the IEEE Transactions on Image Processing. From 2011 through 2015, he served as the Editor-in-Chief for the Journal of Electronic Imaging and, in the past, has served as an associate editor for the Journal of Electronic Imaging, the IEEE Transactions on Image Processing, and for the IEEE Transactions on Information Forensics and Security. He is a member of the IEEE Publications, Products, and Services Board (PSPB) and chaired the IEEE Conference Publications Committee in 2017-18. He is the editor of the Digital Color Imaging Handbook published by CRC press in 2003. Dr. Sharma is a fellow of the IEEE, a fellow of SPIE, a fellow of the Society for Imaging Science and Technology (IS&T) and has been elected to Sigma Xi, Phi Kappa Phi, and Pi Mu Epsilon. In recognition of his research contributions, he received an IEEE Region I technical innovation award in 2008.

Jing Xiang

UC Department of Pediatrics

Title: High Frequency Brain Signal – A New Frontier in Neuroimaging

Abstract:  Recent success in detecting and localizing high-frequency brain signals (HFBS, > 70 Hz) with non-invasive magnetoencephalography (MEG) and electroencephalography (EEG) opens a new window for the study of the brain. HFBS are commonly referred as high frequency oscillations (HFOs), which include high gamma, ripples, fast ripples and very high frequency oscillations (VHFOs). One of the major applications of HFBS is to precisely localize functional brain areas in clinical practice to assess surgical resectability and reduce the possibility of functional deficit caused by operation. Another important application of HFBS is to surgically treat drug-resistant focal epilepsy. For many patients who have drug-resistant epilepsy, surgical resection of the region where seizure arise is often the only cure. However, the identification of this epileptogenic zone is often imprecise. Pre-surgical localization of epileptic HFBS may result in these patients with drug-resistant epilepsy being seizure free. In addition, HFBS also play important roles in many other disorders. For example, it has been shown that MEG HFBS can guide normalization of cortical excitability in migraine and reduce the incidence of headache attacks. Though HFBS are important new biomarkers and have important clinical applications, numerous challenges exist in the use of HFBS. First, analysis of HFBS requires a high sampling rate to digitize data. The size of high sampling rate data can be very large (big data). Big data pose a challenge for clinical data analysis. Second, given the massive amounts of high-sampling rate data, it is impractical to rely on conventional manual analysis of HFBS. Third, HFBS are typically much weaker than the conventional low frequency brains signals (< 70 Hz). Fourth, existing visual identification of HFBS is subjective, time consuming, and error prone. Therefore, it is essential to develop automatic and objective detection approaches to analyses of HFBS in MEG/EEG data. This presentation will introduce the state of the art technologies that can solve aforementioned problems and enable the development of intelligent neuroimaging to improve clinical outcomes.

Bio:  Dr. Jing Xiang is the Director of Magnetoencephalography (MEG) Research at Cincinnati Children’s Hospital Medical Center. He is a Professor in the Departments of Pediatrics and Neurology at the University of Cincinnati. Dr. Xiang played a key role in building the world’s first pediatric MEG Laboratory at the Hospital for Sick Children, in Toronto, Canada. He also established the world’s first high frequency brain signal database (ClinicalTrials.gov Identifier: NCT00600717). He is a pioneer in clinical applications of high frequency brain signals and has published more than 160 peer-reviewed papers. Dr. Xiang received numerous awards for his outstanding contributions (e.g. Walter Berdon Award) and is an editor for several journals (e.g. Frontier in Human Neuroscience).