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. 

GORON, Coraline, Ph.D

Assistant Professor of Environmental Policy, Duke Kunshan University

Coraline Goron is Assistant Professor of Environmental Policy at DKU. She obtained a double PhD Degree in Politics from the University of Warwick (UK) and the Université Libre de Bruxelles (Belgium) in 2017. Her PhD dissertation on Politics of Low-Carbon Transformation in China won the Marthe Engelborghs-Bertels for Sinology Prize in 2018. Before coming to DKU, she was a post-doctoral fellow at the Oxford University China Center. Coraline’s research focuses on China’s politics of environment, climate change and energy, both nationally and globally. Her most recent publications include Engagement or control? The impact of the Chinese environmental protection bureaus’ burgeoning online presence in local environmental governance with Gillian Bolsover (JEPM, 2019) and From targets to inspections: the issue of fairness in China’s environmental policy implementation, with Genia Kostka (EP, forthcoming).

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.

LIN, Yanjuan, Ph.D.

Assistant Professor of Biogeochemistry, Duke Kunshan University

Dr. Yajuan Lin is an Assistant Professor of Biogeochemistry at Duke Kunshan University. She holds a Ph.D. in Marine Science and Conservation from Duke University and a B.S. with double majors in Geology and Life Sciences from Peking University. Dr. Lin’s research areas include biological oceanography, biogeochemistry, microbial ecology, water quality, carbon cycling, and climate change. She has published research papers in top academic journals including Nature Communications, PNAS, and ISME J (Nature Portfolio Journal). Dr. Lin’s current research focuses on carbon cycling in the polar oceans as well as within the tropical coral reefs, both are highly sensitive to climate change. She has participated in multiple large scale international expeditions, including the Antarctic Circumnavigation Expedition and TARA Pacific. Read more about her research here.

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.

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. 

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.

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.

XIANG, Zairong, Ph.D

Assistant Professor of Comparative Literature, Duke Kunshan University
Associate Director of Art, Duke Kunshan University

Dr. Zairong XIang is author of the book Queer Ancient Way: A Decolonial Exploration (punctum books, 2018).

His research intersects feminisms and queer theories, literary and visual studies, philosophical and religious inquiries in their decolonial variants in Spanish, English, Chinese, French, and Nahuatl. Before joining DKU, he was Fellow at the ICI-Berlin Institute for Cultural Inquiry (2014 – 2016) and Postdoctoral Fellow of the DFG Research Training Group “minor cosmopolitanisms” at Potsdam University (2016-2020). He received his cotutelle Ph.D. in Comparative Literature in 2013 from University of Tübingen and University of Perpignan with the EU funded Erasmus Mundus Joint Doctorate. He was the chief curator of the “minor cosmopolitan weekend” at the HKW Haus der Kulturen der Welt (2018), and editor of its catalogue minor cosmopolitan: Thinking Art, Politics and the Universe Together Otherwise(Diaphanes/Chicago UP, 2020). He has published widely both within academia and beyond. He has co-edited the special issue“The Ontology of the Couple” (2019) at GLQ – A Journal of Lesbian and Gay Studies, and the special issue “Hyperimage” for the journal New Art 新美術 (2018). He is co-curating the 2021 Guangzhou Image Triennial and is working on two projects, respectively dealing with the concepts of “transdualism” and “counterfeit” in the Global South especially Latin America and China.

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).

YURGEL, Caio, Ph. D

Assistant Professor of Humanities, Duke Kunshan University

Caio Yurgel has a background in philosophy, creative writing, and comparative literature.

His teaching and research are primarily concerned with literatures written in Chinese, French, German, Portuguese, and Spanish, with a focus on comparative and interdisciplinary approaches. He is the author of Landscape’s Revenge: The Ecology of Failure in Robert Walser and Bernardo Carvalho (DeGruyter, 2018), and the collection of essays A Estética do Espetáculo: Cinco Teses em Walter Benjamin (NEA, 2013), winner of the prestigious Mario Pedrosa Award for Essays on Contemporary Art and Culture, awarded by the Brazilian Ministry of Culture. He is also the author of two award-winning novels, Samba Sem Mim (Saraiva, 2014) and As Noites de Hong Kong São Feitas de Neon (Gato Bravo, 2019). Dr. Yurgel has a PhD in comparative literature from the Friedrich Schlegel Graduiertenschule at Freie Universität Berlin, Germany, where he also served as a joint-post-doctorate researcher in partnership with the Chinese University of Hong Kong (2017). Before joining Duke Kunshan, he was a postdoctoral fellow at the Peking University. 

ZENG, Zhaojin, Ph.D

Assistant Professor of History, Duke Kunshan University

Dr. Zhaojin Zeng is Assistant Professor of History at Duke Kunshan University (DKU). He holds his Ph.D. in History (2018) from the University of Texas at Austin and M.Phil. in Social Science (2012) from the Hong Kong University of Science & Technology. Before joining the DKU, he was Visiting Assistant Professor of East Asian History at the University of Pittsburgh in 2018-2020. His research and teaching fields are the economic, business, and industrial history of modern China and the world. His current book project, Engineering Modern China: Industrial Factories and the Transformation of the Chinese Economy in the Long Twentieth Century, is the first to analyze the remarkable rise of the Chinese factory economy from the late Qing to post-Mao eras. He has started to develop two new book projects: one on the Sino-U.S. economic and trade engagement in the 1980s, and another on a global history of China’s economic transitions in the reform era. Dr. Zeng is also the founder of the CFP – The Chinese Factory Project, a collaborative digital humanities and data analytics initiative that collects and publicizes archival materials and quantitative datasets on China’s industrial development, technological change, and resource utilization. Dr. Zeng has published in high-impact academic journals such as World Development, Pacific Affairs, and Entreprises et Histoire, and his research has received funding from, among others, Harvard University, Harvard Business School, the D. Kim Foundation for Science and Technology, the Association for Asian Studies, Business History Conference, and most recently, Data Science Research Center at DKU. 

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
 
 

Zhang has a B.A. in economics and a B.Sc. in math and applied math from Peking University, and an M.A. and a Ph.D. in economics from Ohio State University. Before joining Duke Kunshan, she was assistant professor in business management at East China Normal University and a course professor at the Asia Europe Business School, Shanghai.

She has an abiding passion for interdisciplinary collaborations, especially related to artificial intelligence (machine learning), fintech (cryptocurrency and blockchain), and big data (from all industries). She is also interested in seeking creative solutions to challenging problems and transferring in-depth insights into practical impacts.

She is a part-time consultant at PreScouter and works with industry pioneers on big-data paradigm shifts and digital transformations. She is dedicated to services with empathy, which she believes is one critical cornerstone of any civil society. She has served local and international communities,is the ambassador for Startup Genome in Shanghai, and was the founding president for Dance Illumination, an nonprofit organization that promotes diverse dance histories.

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.

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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