PEOPLE

Faculty

BACON, Benjamin, Ph.D.

Associate Professor of Media and Arts, Duke Kunshan University
Director of Signature Work, Duke Kunshan University
 
 
Benjamin Bacon is an inter-disciplinary artist, designer and musician that works at the intersection of computational design, networked systems, data, sound, installation and mechanical sculpture. He is currently Associate Professor of Media and Art and Director of Signature Work at Duke Kunshan University. He is also a lifetime fellow at V2_ Lab for the Unstable Media in Rotterdam, Netherlands.  He has held positions in a number of universities. These include: Assistant Professor of Computational and Media Design at Parsons School of Design, Director of BFA Design & Technology at Parsons School of Design, Manager of Technology at the Parsons Institute for Information Mapping, Assistant Professor of Art at New York University Shanghai, Foreign expert and Professor of Computational and Media Design at Shanghai Institute of Visual Art (SIVA), Adjunct Professor and Thesis Advisor at Roy Ascott Technoetic Art Program at Detao (SIVA). Additionally, he has held a two-year research position at Nokia Research Center Asia – Growth Economies Lab. He has exhibited or performed his work in the USA, Europe, Iran, and China such as the National Art Museum of China (Beijing), Gallery Ho (NYC), Wave Gotik Treffen (Germany), Chelsea Museum (NYC), Millennium Museum (Beijing), Plug-In Gallery (Switzerland), Beijing Design Week, Shenzhen Bay Science Technology and Arts Festival, the Shanghai Symphony Hall. Most recently his mechanical life and AI sculpture PROBE001 – AVERSO SPECILLO DI DUCENDUM was collected by the UNArt Center in Shanghai, China.

CAO, Yecheng, Ph.D.

Assistant Professor of Art and Archaeology, Duke Kunshan University
Senior Research Scientist in Data Science Research Center, Duke Kunshan University

 

Kent is a specialist in art and archaeology of early China with a broad interest in the cultural interconnections within Eurasia. From art historical and technical perspectives, his first monograph manuscript examines the rise of indigenous bronze industry in the Yangtze River region in south China between the 15th and the 9th century BCE.

Together with colleagues in physics, electric engineering, and media art, Kent actively explores digital humanities with interdisciplinary methods. He was a member of Ancient Art and Higgs Boson: Non-destructive Muon Imaging, a cutting-material collaboration between the Department of Physics, Princeton University and the Princeton University Art Museum. Currently, he is working on automated algorithmic modelling to reconstruct artifacts from sherds and debris. Another ongoing project co-chaired by Kent investigates the interrelations between object form, metallic strength, and alloy compositions of ancient bronzes through computational simulations.

Kent has a Ph.D. in East Asian Art and Archaeology from Princeton University, a M.St. in Archaeology from the University of Oxford, and he read Archaeology and Anthropology at University College London and the London School of Economics and Political Science. His work has been supported by the Smithsonian, Henry Luce Foundation, Getty Research Institute, and American Council of Learned Societies.

CHAKRABARTY, Krishnendu, Ph.D. (Secondary)

John Cocke Distinguished Professor of Electrical and Computer Engineering, Duke University
Professor of Electrical and Computer Engineering, Duke Kunshan University

 
Professor Chakrabarty received the B. Tech. degree from the Indian Institute of Technology, Kharagpur, in 1990, and the M.S.E. and Ph.D. degrees from the University of Michigan, Ann Arbor, in 1992 and 1995, respectively. He is a Research Ambassador of the University of Bremen (Germany). He is a Fellow of ACM, a Fellow of IEEE, a Fellow of AAAS, and a Golden Core Member of the IEEE Computer Society. He was a 2018 Invitational Fellow of the Japan Society for the Promotion of Science (JSPS) in the Short Term S (“Nobel Prize level”) category. He served as a Distinguished Visitor of the IEEE Computer Society during 2005-2007 and 2010-2012, a Distinguished Lecturer of the IEEE Circuits and Systems Society during 2006-2007 and 2012-2013, and an ACM Distinguished Speaker durig 2008-2016. He is a recipient of the National Science Foundation CAREER award, the Office of Naval Research Young Investigator award, the Humboldt Research Award from the Alexander von Humboldt Foundation, Germany, the IEEE Computer Society Technical Achievement Award, the IEEE Circuits and Systems Society Charles A. Desoer Technical Achievement Award,  the Semiconductor Research Corporation Technical Excellence Award, IEEE Transactions on CAD Donald O. Pederson Best Paper Award, ACM Transactions on Design Automation of Electronic Systems Best Paper Award, and over a dozen best papers awards at leading IEEE conferences. He has received the Distinguished Alumnus Award from the Indian Institute of Technology, Kharagpur. His current research is focused on: testing and design-for-testability of integrated circuits (especially 3D SOC); microfluidic biochips; hardware security; AI accelerators and neuromorphic computing. He holds 18 US patents and has several pending US patents. He served as Editor-in-Chief of IEEE Design & Test of Computers during 2010-2012, ACM Journal on Emerging Technologies in Computing Systems during 2010-2015, and IEEE Transactions on VLSI Systems during 2015-2018.

CHANG, Charles, Ph.D.

Assistant Professor of Environment and Urban Studies, Duke Kunshan University

Senior Research Scientist in Data Science Research Center, Duke Kunshan University

 
Chang has a B.A. in geography from Beijing Normal University, and a M.Sc. and Ph.D. in environmental studies from the University of Wisconsin, Madison. Before joining Duke Kunshan, he served as the 2016-2017 postdoctoral fellow in Chinese studies at Stanford University and the 2018-2019 postdoctoral associate in Asian studies at Yale University.
His research interest hinges on the intersections between computation and design. With the rise of smartphones and other internet-connected devices, design choices become increasingly data-driven and dependent on information’s credibility in the construction of the human habitat. Chang’s research focuses on human habitat’s design, environmental impact, and information’s credibility in the big-data age. His teaching interests at Duke Kunshan include computational social science, digital humanities, and urban informatics.
He has published several articles in peer-reviewed journals and at conferences, including on dig data and machine learning in natural science, social science, and the humanities.

CHEN, Yingchi (Jack), Ph.D. (Adjunct)

Adjunct Professor in Applied Physical Sciences and Engineering, Duke Kunshan University

Dr. Chen received the Ph.D. degree in statistics and the M.S. degree in business administration from Lowa State University.

He specializes in investment optimization, customer goals and CRM related advanced analysis, including measuring the long-term impact of difficulties to measure impacts such as brand promotion, customer journey, social media, corporate social responsibility, demand forecasting, and total quality management improvement. 

HORVATH, Gergely, Ph.D

Assistant Professor of Economics, Duke Kunshan University

Senior Research Scientist in Data Science Research Center, Duke Kunshan University

Horváth has a B.A. in economics from Corvinus University, Hungary, and an M.A. and Ph.D. in economics from the University of Alicante, Spain. He was a postdoctoral fellow at the Friedrich-Alexander University of Erlangen-Nuremberg, Germany. Before joining Duke Kunshan, he held faculty positions in China at the Southwestern University of Finance and Economics and Xi’an Jiaotong-Liverpool University, and had research visits at the University of Cambridge, the European University Institute, the National Bank of Hungary, and Massey University.

His research focuses on experimental and behavioral economics, social network analysis, labor economics, applied microeconomics, and agent-based modelling. He has done research on diverse topics including the impact of social networks on job finding and labor market outcomes, the competition for social status in networks, discrimination in the labor market, entrepreneurship among ethnic minorities, whistleblowing in organizations, bank runs, and the evolution of cooperation.

His has articles have appeared in academic journals including the European Economic Review, Journal of Economic Behavior and Organization, Scandinavian Journal of Economics, Journal of Behavioral and Experimental Economics, Economics Letters, Journal of Theoretical Biology, B.E. Journal of Theoretical Economics, and PLOS ONE. His research has been supported by the National Natural Science Foundation of China.

HUANG, Kaizhu, Ph.D

Professor of Electrical and Computer Engineering, Duke Kunshan University

Kaizhu Huang works on machine learning, neural information processing, and pattern recognition. Before joining DKU, he was a full professor at Xi’an Jiaotong-Liverpool University (XJTLU) and Associate Dean of research in School of Advanced Technology, XJTLU. He founded Suzhou Municipal Key Laboratory of Cognitive Computation and Applied Technology. Prof. Huang obtained his PhD degree from Chinese University of Hong Kong (CUHK) in 2004, Master degree from Institute of Automation, Chinese Academy of Sciences in 2000,  and Bachelor degree from Xi’an Jiaotong University in 1997. He worked at Fujitsu Research Centre, CUHK, University of Bristol, National Laboratory of Pattern Recognition, Chinese Academy of Sciences from 2004 to 2012. He was the recipient of the 2011 Asia Pacific Neural Network Society Young Researcher Award. He received the best paper or book awards for six times. He has published 9 books and over 200 international research papers including 90+ journal papers (e.g. IEEE T-PAMI, IEEE T-NNLS, IEEE T-BME, IEEE T-Cybernetics,  JMLR) and 110+ conference papers (e.g. NeurIPS, IJCAI, SIGIR, UAI, CIKM, ICDM, ICML, ECML, CVPR). He serves as associated editors/advisory board members in a number of international journals and book series. He was invited as a keynote speaker in more than 30 international conferences or workshops.

HWANG, Myung-Joong, Ph.D.

Assistant Professor of Physics, Duke Kunshan University
Senior Research Scientist in Data Science Research Center, Duke Kunshan University
 
 

Hwang has a B.Sc. and a Ph.D in physics from Pohang University of Science and Technology, South Korea. Before joining Duke Kunshan, he was a postdoctoral researcher at the Institute of Theoretical Physics at Ulm University, Germany.

His research focuses on understanding quantum nature of light and matter and developing ways to harness them for next generation quantum technologies including quantum computing. His teaching interests at Duke Kunshan include integrated science and advanced physics.

JAUNG, Wanggi, Ph.D.

Assistant Professor of Environmental Policy, Duke Kunshan University

Email: wanggi.jaung@dukekunshan.edu.cn  

Wanggi Jaung received his Ph.D. in Forestry from the University of British Columbia. Before joining Duke Kunshan, he was a research fellow at the National University of Singapore and worked for the Center for International Forestry Research, Indonesia. His research interests include sustainable human-nature relations, ecosystem services, big data analysis, machine learning, Industry 4.0, sustainable consumption and production, and nonmarket valuation.

KOTSIFAKI, Domna, Ph.D.

Assistant Professor of Physics, Duke Kunshan University
Senior Research Scientist in Data Science Research Center, Duke Kunshan University
 
 
Dr. Kotsifaki’s research focuses on interface between nanophotonics and biophotonics to gain a better understanding of the processes involved to manipulate nanometer-sized particles using light fields which contribute to the development of new techniques for single-molecule level detection and analysis. Her research interests up to now are concerned mainly the study and control of dielectric nanoparticle/bio-particles, investigating fluid dynamics using plasmonic-based approaches, development of new sensing platforms, technologies enabled by optical resonators/metamaterial, implementation of novel techniques for new therapeutic approaches, etc. She has participated in several research projects, and she has coordinated Greek and Japanese research projects (as PI) related to bio-applications based on plasmonic nanostructures. She has published several peer-reviewed international journals, peer-reviewed international conference proceedings and book chapters.

KWOK, Sze Chai, Ph.D.

Associate Professor of Cognitive Neuroscience, Duke Kunshan University
Principal Research Scientist in Data Science Research Center, Duke Kunshan University
 
 

Kwok’s research lies at the intersection among neuroscience, behavior, and psychology. He is head of the Laboratory of Phylo-Cognition and his research team studies the neural bases of episodic memory, metacognition, and other related higher cognitive processes in the primate species. Elucidation of such intricate brain/mind/behavior relationships is attained by armamentaria of methods including multimodal neuroimaging, in vivo electrophysiology, neuromodulatory methods, state-of-the-art behavioral paradigms and computational techniques. His teaching interests at Duke Kunshan include topics within cognitive neuroscience, behavioral sciences, and psychology.

Kwok has a bachelor’s degree in social sciences from the University of Hong Kong and a doctoral degree in experimental psychology from the University of Oxford. Before joining Duke Kunshan in 2020, he was associate professor at East China Normal University and held a scholar-in-residence adjunct position at NYU Shanghai.

LI, Ming, Ph.D.

Associate Professor of Electrical and Computer Engineering, Duke Kunshan University
Adjunct Professor at School of Computer Science, Wuhan University
Research Scholar at Department of Electrical and Computer Engineering, Duke University
Principal Research Scientist in Data Science Research Center, Duke Kunshan University
 
 
Ming Li received his Ph.D. in Electrical Engineering from University of Southern California in 2013. He is currently an Associate Professor of Electrical and Computer Engineering at Duke Kunshan University. His research interests are in the areas of audio, speech and language processing as well as multimodal behavior signal analysis and interpretation. He has published more than 130 papers and served as the member of IEEE speech and language technical committee, CCF speech language and hearing committee, CAAI artificial psychology and affective computing committee, APSIPA speech and language processing committee. He was the area chair of speaker and language recognition at Interspeech 2016, 2018 and 2020. Works co-authored with his colleagues have won first prize awards at Body Computing Slam Contest 2009, Interspeech Computational Paralinguistic Challenge 2011, 2012 and 2019, ASRU 2019 MGB-5 challenge language identification task, Interspeech 2020 fearless steps challenge speaker verification task. He received the IBM faculty award in 2016, the ISCA computer speech and language best journal paper award in 2018 and the youth achievement award of outstanding achievements of scientific research in higher education in 2020.

LI, Xin, Ph.D.

Associate Vice-Chancellor for Graduate Studies and Research, Duke Kunshan University
Dean of Graduate Studies, Duke Kunshan University
Professor of Electrical and Computer Engineering, Duke Kunshan University
Professor of Electrical and Computer Engineering, Duke University
Director of Institute of Applied Physical Sciences and Engineering, Duke Kunshan University
Director of Data Science Research Center, Duke Kunshan University
Director of Master of Engineering Program in ECE, Duke Kunshan University
 
 
Professor Xin Li received the Ph.D. degree in Electrical & Computer Engineering from Carnegie Mellon University in 2005. He was assistant director of the United States circuit and systems research center from 2009 to 2012. He founded Xigmix in 2005 as the company’s chief technology officer (CTO). From 2009 to 2012, he served as assistant director of the United States joint research center for circuits and systems. He was an Associate Editor of IEEE TCAD, IEEE TBME, ACM TODAES, IEEE D&T and IET CPS. He was the General Chair of ISVLSI and FAC. He received the NSF CAREER Award in 2012 and six Best Paper Awards from IEEE TCAD, DAC, ICCAD and ISIC. Prof. Li is now the Deputy Editor-in-Chief of IEEE TCAD and Fellow of IEEE. His research interests include integrated circuit, signal processing and data analytics.

LIU, Jianguo, Ph.D. (Secondary)

Professor of Physics, Duke University
Professor of Mathematics and Physics, Duke Kunshan University
Co-Director of Zu Chongzhi Center for Mathematics and Computational Sciences, Duke Kunshan University

Professor Jian-guo Liu received his Ph.D. degree in University of California at Los Angeles 1990. He joined Temple University’s Department of Mathematics as assistant professor in 1993, moved to the University of Maryland, College Park, as an associate professor in 1997 and became a professor in 2001 in the Department of Mathematics and the Institute for Physical Science and Technology. He joined Duke University in 2009 as professor of physics and mathematics, and he is also a fellow of the American Mathematical Society.

His research is in collective dynamics, decision-making and self-organization in complex systems from biology and social sciences; scaling behavior in models of clustering and coarsening; numerical methods for incompressible viscous flow; and multiscale analysis and computation.

LUO, Bing, Ph.D

Assistant Professor of Data and Computer Science, Duke Kunshan University

Email: bing.luo@dukekunshan.edu.cn 

Before joining DKU, Dr. Bing Luo was a Postdoctoral Research Fellow at CUHK(SZ) and Yale University. He received his Ph.D. degree from the University of Melbourne, Australia, and B.E. and M.E. degrees from Beijing University of Posts and Telecommunications (BUPT), China. Before pursuing his Ph.D., he was a project manager at China Mobile Corporation, Beijing, China. He was a visiting scholar at Yale University, IBM T. J. Watson Research Center, USA, Friedrich-Alexander-University Erlangen-Nuremberg, Germany, and Aalto University, Finland.  

His research focuses on federated learning (FL), optimization and game theory, embedded AI for IoT and mobile systems, and wireless communications and energy harvesting systems. He has published more than 15 first-author papers in leading journals and conferences in the network and communications community, including IEEE Journal on Selected Areas in Communications (JSAC), IEEE Transactions on Communications (TCOM), and IEEE International Conference on Computer Communications (INFOCOM). He served as TPC Member at IEEE ICC and GLOBECOM, and PC Member at FL-NeurIPS’22,   FL-ICML’21, FL-IJCAI’22, and FL-AAAI’22. 

MILLIER, James, Ph.D

Professor of Humanities, Duke Kunshan University
Co-Director of the DKU Humanities Research Center, Duke Kunshan University

Email: j.e.miller@dukekunshan.edu.cn 

James Miller is the inaugural Professor of Humanities at Duke Kunshan University, Associate Dean for Interdisciplinary Strategy, and co-director of the DKU Humanities Research Center . Prior to his appointment at Duke Kunshan, Dr. Miller served as the director of the interdisciplinary graduate program in cultural studies, and as the director of the School of Religion, at Queen’s University in Kingston, Ontario, Canada.

Dr. Miller’s research is based in the study of Chinese philosophy, theology, and religion, with an emphasis on philosophy of nature, environmental ethics, and the intersection of religion and ecology in China. He is known worldwide as a scholar of Daoism, China’s indigenous religion, and especially its relation to ecology. He has published six books including, most recently, China’s Green Religion: Daoism and the Quest for a Sustainable Future (Columbia 2017).

MURA, Ivan, Ph.D

Associate Professor of Electrical and Computer Engineering, Duke Kunshan University

Email: ivan.mura@dukekunshan.edu.cn 

Professor Ivan Mura received an MSc degree in Computer Science and a Ph.D. degree in Computer Science Engineering from the University of Pisa, Italy. He first held a Junior Researcher position with the Italian National Research Council, and then joined the Motorola Software Group in Turin, Italy. He worked for Motorola for 7 years as a project manager, leading the Modeling and Simulation team and managing the involvement of Motorola Italy in  European Commission funded R&D projects. In 2006 he joined the Microsoft Research-University of Trento Centre for Computational and Systems Biology as a Senior Researcher, working on applications of predictive modeling to complex biological systems. He moved back to academia in 2012, taking on a position at the Computer Science department of EAN University in Bogotá, Colombia, and then he was an Associate Professor with the Department of Industrial Engineering at Universidad de los Andes in Bogotá, Colombia. He is currently an Associate Professor of Electrical and Computer Engineering at Duke Kunshan University. His research interests focus on techniques and applications of predictive modeling for artificial and living systems, the optimization of resource management in health systems, data science, and visualization. 

NISA, Claudia, Ph.D.

Assistant Professor of Behavioral Science, Duke Kunshan University

 
 

Claudia’s scientific agenda is centered around identifying what works to helps us lead healthier and more sustainable lives. Her research program focuses on the effectiveness of behavioral interventions to promote healthy and sustainable living – eg. how to best promote energy savings, reduce food waste, increase cancer screening or blood donation. She translates behavioral science into practice to tackle these critical challenges, and to respond to calls for better informed policies. In order to do so, she uses a variety of methodological tools including (1) lab studies testing small-scale psychologically-driven interventions; (2) large field experiments testing how to scale-up behavioral interventions in natural settings; and (3) evidence-based policy evaluation, based on meta-analyses of randomized controlled trials and quasi-experiments.

Claudia has a BSc degree in Social and Organizational Psychology and a MSc in Economics and Social Policy from the University of Lisbon, Portugal. She also holds a MSc in Decision Sciences and a PhD in Social Policy, both from the London School of Economics and Political Science (LSE). She has served a postdoctoral researcher to ETH-Zurich in Singapore, and New York University in Abu Dhabi.

OVERMEIRE, Ben Van, Ph.D.

Assistant Professor of Religious Studies, Duke Kunshan University

 
 

Ben Van Overmeire is Assistant Professor of Religious Studies at Duke Kunshan University. A comparatist, he examines how premodern Zen Buddhist genres and ideas are understood today, particularly in popular literature. He has just finished a book manuscript on American Zen autobiography, describing how and why such narratives incorporate koan, Zen riddles revolving around seemingly unsolvable questions such as “What is the sound of one hand clapping?” His current project examines the religious imagination of outer space. Van Overmeire’s work has appeared in Religions, Contemporary Buddhism, The Journal of Popular Culture, and Buddhist-Christian Studies, among other journals. Van Overmeire has presented his work at the annual conferences of the American Academy of Religion (AAR), the Modern Languages Association (MLA), and the American Comparative Literature Association (ACLA). He is a steering member of the Buddhist Pedagogy seminar at AAR and blogs on benvanovermeire.com.

PAN, Xiaofei, Ph.D.

Lecturer in Chinese Language, Duke Kunshan University

 
 
Pan has a Ph.D. in second language acquisition from the University of Iowa. Before joining DKU, she taught Chinese as a second language at the University of North Carolina, Charlotte, the CIEE Shanghai Learning Center, and the University of Iowa.
 
Her primary research interests include second language writing, second language assessment and quantitative research methodology for second language acquisition. She involves innovative teaching methods and authentic use of language in her classroom.

SUN, Peng, Ph.D.

Assistant Professor of Data Science, Duke Kunshan University
Senior Research Scientist in Data Science Research Center, Duke Kunshan University
 
 
Sun has a bachelor of engineering in electrical engineering and automation from Soochow University, an M.Sc. in electrical and computer engineering from Lakehead University, Canada, and a Ph.D. in electrical and computer engineering from the University of Ottawa, Canada, where he served as a postdoc researcher from 2016 to 2020. Before joining Duke Kunshan, he was a research associate at the Paradise Research Laboratory, University of Ottawa, led by professor Azzedine Boukerche. His current research focus includes AI-assisted intelligent transportation systems, internet of vehicles, wireless sensor network, and mobile vehicular cloud/edge computing. His teaching interests at Duke Kunshan include numerical methods for engineering, machine learning, and data and computer communications.
He is the author of more than 40 peer-reviewed journal and conference papers, and has worked as principal researcher/research associate for projects supported by Canada’s National Defense, the Communications Research Centre Canada, and the Natural Sciences and Engineering Research Council of Canada. He is an active reviewer for prestigious journals including IEEE Transactions on Wireless Communications, Elsevier Ad Hoc Networks, and ACM Computing Survey. He also has served as technical program committee co-chair/member for top-tier conferences including ACM DIVANet’18, IEEE ISCC’19, ACM MSWiM’17~20, ACM/IEEE DS-RT’20 and IEEE ICC’20~21.

SUN, Yaochao, Ph.D.

Assistant Professor of English Language, Duke Kunshan University

Email: yachao.sun@dukekunshan.edu.cn

Yachao Sun is an Assistant Professor in the Language and Culture Center at Duke Kunshan University. His research interests include multilingual writing, translingual studies, multimodal composition, and corpus linguistics. He is particularly interested in investigating how linguistics, humanities, and data science intersect in language education. He has published in TESOL Quarterly, Langauge Teaching Research, Journal of English for Academic Purposes, English for Specific Purposes, and System, among others. His recent work focuses on how applied linguistics and writing theories and methodologies can respond to increasingly diversified teaching and learning contexts. He is particularly interested in exploring multilingual writers’ language practices and ideologies from translingual perspectives. One of his recent projects investigates how data science methods can facilitate translingual research to enhance multilingual writers’ feedback literacy and critical language awareness.

TONG, Xin, Ph.D.

Assistant Professor of Computation and Design, Duke Kunshan University

Email: xin.tong@dukekunshan.edu.cn

Dr. Xin Tong is an Assistant Professor of Computation and Design, and researcher at the Data Science Research Center and Global Health Research Center at Duke Kunshan University (DKU). ​​Previously, she was a postdoc fellow affiliated with the Pervasive Wellbeing Technology Lab at Stanford University and before that, she was a researcher of the Pain Studies Lab. She received her Ph.D. at Simon Fraser University (SFU), Canada and her Ph.D. dissertation has received “Canadian Best PhD Dissertation in HCI” in 2021. Dr. Tong’s research areas are VR, human-computer interaction (HCI), games, accessibility, ML and AI ethics. Her research focuses on the larger understanding of how vulnerable populations experience and interact with technologies. Dr. Tong has published in many top-tier academic venues in HCI areas, and she has been an editor, reviewer and paper chair for high-impact conferences and journals, such as ACM SIGCHI, CSCW, DIS, Frontiers, IEEE VR, and so on. She is teaching and has taught undergraduate and graduate courses in games, VR, HCI, data science, and wellbeing technology topics. Dr. Tong is also a recipient of many international, national, and university fellowships and renowned awards, such as the NSERC Postdoctoral Fellowship, SFU Provost Prize of Distinction Award, C.D. Nelson Memorial Scholarship, MITACS Research Training Award, SFU Big Data Graduate Scholarship, McQuarrie Chronic Pain Scholarship, and Best Game Awards and Nominations at ACM CHI and Microsoft Unite Conference.

TRIVEDI, Kishor, Ph.D. (Secondary)

Professor of Electrical and Computer Engineering, Duke Kunshan University
Hudson Professor of Electrical and Computer Engineering, in the Edmund T. Pratt, Jr. School of Engineering, Duke University

 
Professor Trivedi received the M.S. degree and Ph.D. degree from the University of Illinois.
He holds the Hudson Chair in the Department of Electrical and Computer Engineering at Duke University. He is known as a leading international expert in the domain of reliability and performability evaluation of dependable systems. He is a Life Fellow of the Institute of Electrical and Electronics Engineers and a Golden Core Member of IEEE Computer Society. He is the recipient of IEEE Computer Society Technical Achievement Award for his research on Software Aging and Rejuvenation. He is the author of “Probability and Statistics with Reliability, Queuing and Computer Science Applications” and “Reliability and Availability Engineering: Modeling, Analysis and Applications”.

WANG, Shan, Ph.D

Assistant Professor of Psychology, Duke Kunshan University
Senior Research Scientist in Data Science Research Center, Duke Kunshan University
 
 
Wang has a B.Sc. and a postgraduate diploma in psychology from Tianjin Normal University, China, and Loughborough University, U.K. She has an M.Sc. in psychology from the University of Edinburgh and completed clinical training at the Western General Hospital, Edinburgh, with a focus on cognitive impairment; and has a Ph.D. in psychology from the University of Bath, U.K, and completed her work based in the Centre for Pain Research, Bath. Before joining Duke Kunshan, she was a postdoctoral researcher at Oxford Brookes University, U.K.
 
Her research interests lie primarily in the area of cognitive psychology and extend across a range of subjects related to perception and action, individual differences and life span development. More specifically, her research work focuses on visual perception, pain and attention, and age-related changes in motor cognition. Recently, she has expanded her research to study the movement coordination of children with neuro-developmental disorders.

WANG, Xiawa, Ph.D

Assistant Professor of Material Science, Duke Kunshan University
Senior Research Scientist in Data Science Research Center, Duke Kunshan University
 
 
Wang has a B.Sc., M.Eng and Ph. D in electrical engineering from the Massachusetts Institute of Technology. Before joining Duke Kunshan, she was a post-doctorate researcher at Tsinghua University.
 
Her research merges material science and electromagnetism by tailoring the emission spectra of high temperature emitters with micro-to-nano structures. She worked on those devices and systems for use in the next generation radioisotope batteries to power spacecraft flying beyond Jupiter and into deep space where solar energy is not sufficient to provide any power. She is also interested in silicon photonics, semiconductor devices, and micro-to-nano fabrication process. Her teaching interests at Duke Kunshan include laboratory classes on material science, and physics classes on electromagnetism.

XU, Shixin, Ph.D.

Assistant Professor of Mathematics, Duke Kunshan University

Professor Shixin Xu received the B.Sc. in Mathematics (Hons) from Ocean University of China and a Ph.D. in Mathematics from the University of Science and Technology, China, in 2013. From 2013 to 2017, he held post-doctorate positions at the National University of Singapore, the University of Notre Dame and University of California Riverside (U.S.), and the Fields Institute for Research in Mathematical Sciences (Canada). His research interests are machine learning and data-driven model for diseases, multiscale modeling of complex fluids, homogenization theory and numerical analysis. 

XU, Weijing (Vivian), Ph.D.

Assistant Professor of Media and Arts, Duke Kunshan University

Vivian Xu is an inter-disciplinary artist, designer, and researcher. Her work explores the boundaries between bio and electronic media in creating machines and sensory systems often taking the form of artifacts, installations, and wearable. Her work has been presented at various institutions in China, the US, Europe and Australia, including the National Art Museum of China (Beijing), the Shanghai Symphony Orchestra (Shanghai), Power Station of Art (Shanghai), China Design Museum (Hangzhou), NTU Center for Contemporary Art (Singapore), the New York Science Museum (New York), SymbioticA at the University of Western Australia (Perth), the Max Planck Institute for the History of Science (Berlin), Art Laboratory Berlin (Berlin), Humboldt University (Berlin), Kapelica Gallery (Ljubljana).

ZHANG, Kai, Ph.D.

Assistant Professor of Chemistry, Duke Kunshan University
Senior Research Scientist in Data Science Research Center, Duke Kunshan University
 
 

Zhang has a B.Sc. in chemistry from Tsinghua University and a Ph.D. in physical chemistry from Duke University. Before joining Duke Kunshan, he was a postdoctoral researcher at Yale University and Columbia University.

 

He performs theoretical and computational studies of soft condensed matters, such as polymers and glasses, from a statistical mechanics point of view. He seeks to understand and predict the structural and dynamical properties of soft materials with molecular simulation and machine learning methods. He is also interested in statistical and collective behaviors in biological systems.

ZHANG, Luyao, Ph.D.

Assistant Professor of Economics, Duke Kunshan University
Senior Research Scientist in Data Science Research Center, Duke Kunshan University
 
 

Luyao (Sunshine) Zhang is Assistant Professor of Economics and Senior Research Scientist at the Data Science Research Center at Duke Kunshan University (DKU). She has an abiding passion for interdisciplinary collaborations, especially for cutting-edge research of both profound insights and practical impacts, including Computational Economics (Algorithmic Game Theory and Mechanism Design), Artificial Intelligence (Machine Learning, AI Trust, Human-Computer Interaction), Cryptoeconomics (Blockchain for social good, Consensus Algorithms, DeFi), Behavioral Science (Bounded Rationality, Trust, and Cooperation), and Interdisciplinary Big Data (Social Media, Sustainability, and Global Health). Her current research interests are around the application scenarios of “Blockchain +.” Her publications appear in economic journals for general interest and beyond, including American Economic Review: Papers and Proceedings, the Review of Economics and Statistics, the World Economy, Nature Scientific Data, Nature Social Indicators Research, ACM CCS, AAAI/ACM AIES, IEEE International Conference on Blockchain Proceedings,  Remote Sensing, Journal of Digital Earth, Data and Information Management, etc. She received Ph.D. in Economics at Ohio State University, supported by Presidential Fellowship and NSF dissertation grant. She graduated from Peking University with a B.A. in Economics and a B.S. in Math and Applied Math.  Know More

ZOU, Dongmian, Ph.D.

Assistant Professor of Data Sciences, Duke Kunshan University
Senior Research Scientist in Data Science Research Center, Duke Kunshan University
 
 
Zou has a B.Sc. in mathematics from the Chinese University of Hong Kong and a Ph.D. in applied mathematics from the University of Maryland, College Park. Before joining Duke Kunshan, he served as a post-doctorate researcher at the University of Minnesota, Twin Cities.
 

His primary research is in the intersection among applied harmonic analysis, machine learning and signal processing. He is especially interested in robust representations and structures in geometric and graph deep learning. His teaching interests at Duke Kunshan include calculus, linear algebra, principles of machine learning, statistical machine learning.
He has had papers published in leading academic journals in various areas including Applied and Computational Harmonic Analysis and IEEE Transactions on Information Theory, and at and conferences such as the International Conference on Learning Representations.

ZHANG, Lei, Ph.D.

Assistant Professor of Medical Physics, Duke Kunshan University

Lei Zhang received his Ph.D. in Medical Physics from Duke University, M.S. degree in Biomedical Engineering from Washington University in St. Louis, and B.S. degree in Electrical Engineering from University of Science and Technology of China. Before joining DKU, he served as a postdoctoral researcher at University of North Carolina at Chapel Hill.

His research focuses on improving medical image quality for brain/neuroscience and radiotherapy research, and developing image-based information extraction and guidance methods for accurate and precise cancer radiotherapy. Specifically, his research interests include MR image synthesis, brain segmentation, multi-modal imaging, MR metal artifact reduction, image-guided radiotherapy (4D-CBCT, 4D-MRI, 5D-MRI), gel-based 3D dosimetry, and nanomedicine.

ZHENG, Zheng, Ph.D. (Adjunct)

Adjunct Professor in Applied Physical Sciences and Engineering, Duke Kunshan University

Professor Zheng Zheng is currently a full-time professor at School of Automation Science and Electrical Engineering of Beihang University.

He received his B.S. and M.S. degree from Chongqing University of Posts and Telecommunications in 2000 and 2003 respectively, and Ph.D. degree from Institute of Computing Technology, Chinese Academy of Sciences in 2006. He has won 18 projects and has published 16 papers in leading journals (i.e. top 25% of JCR), and 5 papers in leading conferences (e.g. ISSRE, COMPASAC) in the last five years (645 citations in the last five years in Google Scholar, and 1 highly cited paper ESI). He has won Beijing Youth Talent Award in 2013 and Beihang Youth Excellent Award in 2018. 

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