People

Prof. May’s research focuses on applied mathematics and scientific computing. He is interested in developing, analyzing, and applying higher-order numerical discretization methods for partial differential equations and developing pertinent solution algorithms, including adaptive methods. In his research, Prof. May combines theoretical work in numerical analysis with real-world applications, such as complex fluids, high-speed flows, and shape optimization.

He has published his research in numerous international journals, such as the Journal of Computational Physics, the SIAM Journal on Numerical Analysis, and the Journal of Scientific Computing. He also co-authored the book “Anisotropic hp-Mesh Adaptation Methods” (Birkäuser, 2022).

Prof. May has a B.E. in Mechanical Engineering from Dartmouth College, New Hampshire, a Dipl.-Ing. in Mechanical Engineering from RWTH Aachen, Germany, and a Ph.D. in Aeronautics and Astronautics from Stanford University. Before joining DKU, he was an Associate Professor at RWTH Aachen and the von Karman Institute for Fluid Dynamics, Rhode-Saint-Genèse, Belgium.

Her research focuses on inverse problems and spectral methods for partial differential equations, with applications in medical imaging and non-destructive testing. She has worked on the mathematical reconstruction of shapes and parameters in complex media, particularly through qualitative methods.

Her teaching interests include foundational and advanced courses in pure and applied mathematics.

She received her Ph.D. in mathematics from Rutgers, The State University of New Jersey–New Brunswick in USA. Before joining Duke Kunshan University, she was a Golomb Visiting Assistant Professor at Purdue University in USA.

Professor Huang Huaxiong received his BSc in mathematics from Fudan University and PhD from the Institute of Applied Mathematics at the University of British Columbia.

Professor Huang Huaxiong is one of the leading industrial applied mathematicians in Canada with an international reputation. His research covers a wide range of topics, including fluid mechanics and scientific computing, with applications in finance, biology, physiology and medicine. He has published over 100 papers and serves on the editorial board of several academic journals.

Professor Huang Huaxiong was a JSPS visiting fellow at the University of Tokyo, a three-time Erskine Visiting Fellow at the University of Canterbury, and a visiting Professor at the University of Paris VI. He was a recipient of the Canadian Industrial and Applied Mathematics Society-Fields Institute Industrial Mathematics Prize, and a lifetime fellow of the Fields Institute for Research in the Mathematical Sciences, where he served as the Deputy Director between 2016 and 2019.

Jianbo Yue’s research focuses on cell signaling related to autophagy, endosomal trafficking, metastasis, anticancer immunity, Ca2+ and reactive oxygen species (ROS). His research group established a high-content drug screening platform, and identified and/or synthesized many potent and specific modulators of autophagy or/and endosomal trafficking. His group also established both cell and animal models to evaluate the ability of these compounds to modulate viral infection, tumor metastasis and anti-cancer immunity. Jianbo founded two Biotech startup companies (6J Biotech and VBT Biotech), focusing on developing novel anti-metastatic or antiviral drugs, respectively.
Yue has been actively participating in undergraduate and graduate teaching. At DKU (2022-), he teaches Experimental Methods in Functional Genomics (BIOL403) and Integrated Biology (BIOL110). At the City University of Hong Kong (2014-2022), he taught Cellular Pathology, Molecular Biology of the Cell, Hematology, and Animal Physiology. At the University of Hong Kong (2008-2014), he taught Physiology & Pathophysiology, and Cell Biology.
Jianbo graduated from Sichuan University with a B.Sc. degree in biochemistry (1987-1991), Peking University with an M.Sc. degree in genetics (1991-1994) and Pennsylvania State University with a Ph.D. degree in pharmacology (1995-2000). After postdoc training at Stanford University (2001-2017), he moved to the University of Hong Kong to start his independent academic career as an assistant professor in the Department of Physiology. He later joined the City University of Hong Kong as an associate professor in the Department of Biomedical Sciences.

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 seven times. He has published 9 books and over 230 international research papers including 120+ 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.