Best scientists in the Computer Science (12, one-third of the school’s full-time professors in computer science):

Dapeng Zhang, Zhiquan Luo, Hongyuan Zha, Chris H.Q. Ding, Haizhou Li, Kai Huang, Yin Zhang, Konstantinos Courcoubetis, Jianhua Huang, Zhizheng Wu

(Professor Dapeng Zhang, Hongyuan Zha, and Chris H.Q. Ding were also named "2024 Leaders in Computer Science in China" by Research.com, and Professor Satoshi Nakamura was named "2024 Leader in Computer Science in Japan")

Best Scientists in Mathematics (7):

Zhiquan Luo, Masahito Hayashi, Yin Zhang, Arnulf Jentzen, Guillermo Gallego, Xiaoqiang Cai, Jianhua Huang

(Professor Zhiquan Luo was also named "2024 China Leader in Mathematics" by Research.com)

Best Scientist in Engineering and Technology (3):

Masahito Hayashi, Guillermo Gallego, Xiaoqiang Cai

(Masahito Hayashi was named "2024 Japan Leader in Engineering and Teachnology" by Research.com)

Best Scientist in Electronics and Electronic Engineering (1):

Zhiquan Luo

(Professor Zhiquan Luo was also named "2024  Leader in Electronics and Electronic Engineering in China" by Research.com)

Best Scientist in Social Sciences and Humanities (2):

Guillermo Gallego, Xiaoqiang Cai

Among them, 8 professors are ranked among the top 80 in China/top 800 in the world:

Xiaoqiang Cai (61st in China and 4867th in the world in social sciences and humanities) 

Guillermo Gallego (27th in China and 2810th in the world in in social sciences and humanities)

Masahito Hayashi (13rd in Japan and 955th in the world in mathematics)

Zhiquan Luo (3rd in China and 52nd in the world in mathematics)

Hongyuan Zha (62nd in China and 628th in the world in computer science)

Satoshi Nakamura (73rd in Japan and 5207the in the world in computer science）

Dapeng Zhang (7th in China and 73rd in the world in computer science)

Yin Zhang (62nd in China and 1248th in the world in mathematics)

01 Introduction to the List

Research.com is one of the world's leading academic research portals, providing reliable data on scientific contributions since 2014. It was formerly known as Guide2Research and has been rebranded as Research.com since February 2022. It publishes rankings of the best scientists every year.

Research.com's selection criteria for outstanding scientists are based on the scientist's D-index (Discipline H-index), which is the proportion of contributions in a specific discipline, as well as awards and achievements in specific fields. The D index includes papers and citation values in the subject under evaluation, and is an indicative value that reflects the number of influential literature published by scientists. The D-index is subdivided into 26 subdivisions including chemistry, computer science, engineering technology, mathematics, law, and materials science.

In Computer Science, a detailed analysis of 166,880 scientists from multiple bibliometric data sources was carried out, covering 14,402 researchers; in Mathematics, 166,880 scientists, and 6,262 researchers were surveyed; in the field of electronics and electronic engineering, the website analyzed 166,880 scientists and surveyed 10,355 researchers; in the field of engineering technology, the website analyzed 166,880 scientists and surveyed 27,940 researchers; in the field of social sciences and humanities, the website analyzed 166,880 scientists and surveyed 15,317 researchers.

02 List and Professor Biography

Ph.D. Tsinghua University

Professor Cai received his PhD from Tsinghua University in 1988. After conducting postdoctoral researches at the University of Cambridge and the Queen's University of Belfast, UK, from 1989 to 1991, he was appointed  as Lecturer in Applied Mathematics at the University of Western Australia during 1991-1993. He joined The Chinese University of Hong Kong (CUHK) in 1993, holding academic positions of Lecturer (1993-1996), Senior Lecturer (1996-2000), and full Professor (2000-2014), at the Department of Systems Engineering and Engineering Management (SEEM). He served as Chairman of SEEM during 1996-2003, Head of Graduate Division of SEEM during 2009-2012, and founding Dean of General Education of Lee Woo Sing College during 2010-2014. He joined CUHK-Shenzhen in 2014 as Dean of the School of Science and Engineering (2014-17), and has been appointed as Associate Vice President since 2016, and Presidential Chair Professor since 2018. 

Professor Cai’s research interests are mainly in industrial and systems engineering, operations research, and logistics and supply chain management science. He has published over 300 papers in academic journals, books, and conferences, including more than 100 papers in leading journals, such as Operations Research, Management Science, SIAM Journal on Control and Optimization, Naval Research Logistics, Production and Operations Management, IIE Transactions, IEEE Transactions, Transportation Science, and Transportation Research. He was the chair/co-chair for several international conferences, and a member of the organizing committee/program committee/advisory committee for numerous international conferences. He has been an editor/associate editor/editorial board member of several academic journals. He received the IEOM Award of Outstanding Professor in Logistics and Supply Chain in 2021. 

Professor Cai is a recipient of the Outstanding Young Scientist award (overseas category) from the National Natural Science Foundation of China. He is Academician of the International Academy for Systems and Cybernetic Sciences, Fellow of the Hong Kong Institute of Engineers, and Fellow of the Asia-Pacific Artificial Intelligence Association (AAIA).
 

COURCOUBETIS, Konstantinos
(Costas)
Best scientist in the Computer Science

Ph.D. Columbia University

Professor Ding is currently the Presidential Chair Professor at the School of Data Science, CUHK(SZ). Prior to that, Professor Ding held positions at the California Institute of Technology, the University of California, Lawrence Berkeley National Laboratory, and the University of Texas, Arlington. Professor Ding was selected into the CUSPEA program and went to Columbia University for further study and obtained his Ph.D. in theoretical physics and computer science (G2R Ranking).

Professor Ding's research interests include machine learning/data mining, bioinformatics, information retrieval, and web link analysis. He and his collaborators work on multi-class protein fold prediction is now standard benchmark for protein 3D structure prediction. Professor Ding and his team discovered that Principal Component Analysis (PCA) provides the solution to K-means clustering. They also proved that nonnegative matrix factorization is equivalent to K-means /spectral clustering. Professor Ding and his co-researcher generalized PCA to 2D Singular Value Decomposition for dimension reduction of a set of 2D matrices. Their MPH technology/software for integrating multi-component executables on distributed memory architectures are adopted in many state-of-art large scale models for predicting the long-term climate. Professor Ding also developed the vacancy tracking algorithm for provably optimal in-place multi-dimensional array index reshuffle.

Professor Ding previously worked at California Institute of Technology on Caltech Hypercubes developing parallel algorithms for Materials Science and Computational Biology; at NASA's Jet Propulsion Laboratory on developing algorithms for climate data assimilation, sparse matrix linear solvers and parallel graph partitioning; at the Lawrence Berkeley National Laboratory, working on high performance computing, algorithmic R&D for climate models, application benchmarking, giving tutorials on HPF, MPI, etc., and exploring new frontiers, the magic of matrix for clustering, ordering, ranking, embedding, bipartite graphs for systemic representation of proteins interaction networks, motifs, domains, complexes, functional modules, pathways.

Besides, Professor Ding has won four Best Paper Awards for climate data assimilation parallel algorithm and supernova detection using support vector machines, a NASA Group Achievement Award at JPL, and two Outstanding Performance Awards at Lawrence Berkeley National Laboratory. He served in review panels for US National Science Foundation, and as reviewer for research proposals of National Science Foundations of Ireland, Israel, and Research Grants Council of Hong Kong. He also served for Bioinformatics journal, and program committees of leading conferences in data mining, machine learning and bioinformatics. He co-organizes annual workshops on data mining using matrices and tensors. His work was reported by Science (PDF), Nature (PDF), SIAM, and National Research Council Report.
 

Ph.D. Cornell University

HAYASHI, Masahito
Best Scientist in Mathematics
Best Scientist in Engineering and Technology

Ph.D. Kyoto University

Masahito Hayashi was born in Japan in 1971. He received the B.S. degree from the Faculty of Sciences in Kyoto University, Japan, in 1994 and the M.S. and Ph.D. degrees in Mathematics from Kyoto University, Japan, in 1996 and 1999, respectively. He worked in Kyoto University as a Research Fellow of the Japan Society of the Promotion of Science (JSPS) from 1998 to 2000, and worked in the Laboratory for Mathematical Neuroscience, Brain Science Institute, RIKEN as a Researcher from 2000 to 2003. He worked in ERATO Quantum Computation and Information Project, Japan Science and Technology Agency (JST) as the Research Head from 2003 to 2006, and in ERATO-SORST Quantum Computation and Information Project, JST as a Group Leader from 2006 to 2007.

He also worked in the Superrobust Computation Project Information Science and Technology Strategic Core (21st Century COE by MEXT) Graduate School of Information Science and Technology, The University of Tokyo as an Adjunct Associate Professor from 2004 to 2007. He worked in the Graduate School of Information Sciences, Tohoku University as an Associate Professor from 2007 to 2012. In 2012, he joined the Graduate School of Mathematics, Nagoya University as a Full Professor. He worked in Shenzhen Institute for Quantum Science and Engineering, Southern University of Science and Technology, Shenzhen, China as a Chief Research Scientist from 2020 to 2023. In 2023, he joined School of Data Science, The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen) as a Full Professor, and joined International Quantum Academy (SIQA) as a Chief Research Scientist.

He worked in Center for Advanced Intelligence Project, RIKEN as a Visiting Scientist from 2017 to 2020. He worked in Shenzhen Institute for Quantum Science and Engineering, Southern University of Science and Technology, Shenzhen, China as a Visiting Professor from 2018 to 2020, and in Center for Quantum Computing, Peng Cheng Laboratory, Shenzhen, China as a Visiting Professor from 2019 to 2020. In 2011, he received Information Theory Society Paper Award (2011) for ``Information-Spectrum Approach to Second-Order Coding Rate in Channel Coding''. In 2016, he received the Japan Academy Medal from the Japan Academy and the JSPS Prize from Japan Society for the Promotion of Science. In 2017, he was elected as an IEEE Fellow. In 2022, he was elected as an IMS Fellow. In 2022, he was elected as an Asia-Pacific Artificial Intelligence Association (AAIA) Fellow.

In 2006, he published the book “Quantum Information: An Introduction” from Springer, whose revised version was published as “Quantum Information Theory: Mathematical Foundation” from Graduate Texts in Physics, Springer in 2016. In 2016, he published other two books “Group Representation for Quantum Theory” and “A Group Theoretic Approach to Quantum Information” from Springer. He is on the Editorial Board of International Journal of Quantum Information. His research interests include classical and quantum information theory and classical and quantum statistical inference.
 

Ph.D. University of California

Ph.D. University of California

Professor Hwang Kai is a Presidential Chair Professor at The Chinese University of Hong Kong, Shenzhen. He received the Ph.D. in Electrical Engineering and Computer Science from the University of California, Berkeley. Prior to joining CUHK in 2018, he has taught at the University of Southern California (USC) and at Purdue University for 45 years. He also served as a distinguished Chair Professor at Tsinghua University and the University of Hong Kong. At present, he is also the director of the Research Center on Internet of Things and Smart Cloud, Shenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS). His team mainly develops intelligent medical cloud platforms and multi-agent intelligent applications in digital cities.

Professor Hwang is a pioneer in parallel processing computer architecture field. He has published 10 English monographs about computers and the Internet, six of which have been adopted worldwide and translated into 4 foreign languages from the English editions. He also published 280 papers. According to Google Scholar, his works have been cited for over 20,500 times with an H-index of 62 currently. In 1983, he published the "Computer Architecture and Parallel Processing" and lectured back in China for many times, which significantly promoted the development of high-performance computing and the establishment of Kylin OS, Sugon, and Tianhe supercomputer systems.

Professor Hwang has received a number of awards for his research contributions. He was honored with the 2012 IEEE World Cloud Computing Conference Lifetime Achievement Award, the 2019 70th Anniversary Science and Technology Innovation Achievement Award and 2020 Wu Wenjun Artificial Intelligence Natural Science Award. He has trained thousands of professionals in the computer science field in China, which includes 6 academicians, 10 IEEE/CCF fellows, and more than 30 leading professionals in computer science field. The China Computer Federation (CCF) awarded Professor Hwang the first 2005 Outstanding Overseas Scholar Achievement Award in recognition of his great contribution to China's engineering science and technology. The Outstanding Overseas Scholars Contribution Award is the highest award issued by CCF to overseas scholars.
 

JENTZEN, Arnulf
Best Scientist in Mathematics

Ph.D. Goethe University Frankfurt

Professor Arnulf JENTZEN is a Presidential Chair Professor at The Chinese University of Hong Kong, Shenzhen and a full professor at the University of Münster. He received his Diploma (2007) and PhD (2009) in Mathematics from Goethe University Frankfurt.

The core research topics of Professor Arnulf Jentzen are machine learning approximation algorithms, computational stochastics, numerical analysis for high dimensional partial differential equations (PDEs), stochastic analysis, and computational finance. He is particularly interested in deep learning based algorithms for high dimensional approximation problems and different kinds of differential equations.

Professor Arnulf Jentzen has received a number of awards for his research contributions. In particular, in 2020 he has been awarded the Felix Klein Prize of the European Mathematical Society (EMS) and in 2022 he received the Joseph F. Traub Prize for Achievement in Information-Based Complexity. He has also successfully obtained several research grants for his research activities. Professor Arnulf Jentzen has been invited to work as an associate, division, or managing editor for many international top magazines, such as the Annals of Applied Probability (AAP), Communications in Computational Physics (CiCP), Communications in Mathematical Sciences (CMS), the Journal of Complexity (JoC), the Journal of Mathematical Analysis and Applications (JMAA), the SIAM/ASA Journal on Uncertainty Quantification (JUQ), the SIAM Journal of Scientific Computing (SISC), and the SIAM Journal on Numerical Analysis (SINUM). Since he has received his PhD in October 2009, he has been invited to more than 100 research talks and 5 minicourses. In addition, he has collaboratively organized a series of workshops, minisymposia, and programmes, respectively.

JIA, Kui
Best Scientist in Computer Science

 Ph.D. Computer Science, Queen Mary, University of London

Kui JIA is currently a full Professor with tenure at the School of Data Science, The Chinese University of Hong Kong, Shenzhen. He was previously affiliated with South China University of Technology, University of Macau, and UIUC Advanced Digital Science Center. His primary research interests are in machine learning and computer vision. He is recently focusing on deep learning and generalization, generative 3D modeling, and Sim2Real 3D semantic learning. His has been regularly publishing in top AI journals and conferences, such as TPAMI/CVPR/ICCV/NeurIPS/ICML. His research has been supported by grants from NSFC, Guangdong Government, Huawei, MSRA, etc. Some of his research outputs have been used in the products of Orbbec for intelligent 3D sensing, and in the self-driving system from Samsung America for 3D pedestrian and car detection. He is serving as Associate Editors for a few journals such as Trans. on Machine Learning Research and IEEE Trans. on Image Processing, and served or has been serving as Area Chairs for ICCV, NeurIPS, ICML, etc. He is the founder of the DexForce Technology. 
 

Ph.D. South China University of Technology

Professor Haizhou Li is the X.Q. Deng Presidential Chair Professor in the School of Data Science, The Chinese University of Hong Kong, Shenzhen, China. He is also an Adjunct Professor at the National University of Singapore, Singapore and a Bremen Excellence Chair Professor at the University of Bremen, Germany. Prior to joining CUHK (Shenzhen), Professor Li has taught at Nanyang Technological University and National University of Singapore (2006-2016) in Singapore, University of Eastern Finland (2009) in Finland, and University of New South Wales (2011-2016) in Australia. He was the Principal Scientist and Research Director at the Institute for Infocomm Research (2003-2016), the Agency for Science, Technology and Research, Singapore. Professor Li is an IEEE Fellow, and ISCA Fellow.

Professor Li has served as the Editor-in-Chief of IEEE-ACM Transactions on Audio Speech and Language Processing (2015-2018), Associate Editor of Computer Speech and Language (2012-2021), Springer International Journal of Social Robotics (2008-2021), and a Member of IEEE Speech and Language Processing Technical Committee (2013-2015), Awards Board (2021-2023), and Publications Board (2015-2018) of IEEE Signal Processing Society. He was the President of the International Speech Communication Association (ISCA, 2015-2017), the President of Asia Pacific Signal and Information Processing Association (APSIPA, 2015-2016), the President of the Asian Federation of Natural Language Processing (AFNLP, 2017-2018). He was the General Chair of major scientific conferences including ACL 2012, INTERSPEECH 2014, and ICASSP 2022.

Professor Li was known for his technical contributions to the theory and practice of speaker and language recognition, and to a number of award-winning speech products, such as Apple's Chinese Dictation Kits for Macintosh (1996) and Lernout & Hauspie's Speech-Pen-Keyboard Text Entry Solution for Asian languages (1999). He was the architect of a series of major technology deployments that include TELEFIQS voice-automated call centre service in Singapore Changi International Airport (2001), voiceprint engine for Lenovo A586 Smartphone (2012), and Baidu Music Search (2013).
 

Ph.D. Massachusetts Institute of Technology

Zhi-Quan Luo (Fellow, IEEE) received the B.S. degree in applied mathematics from Peking University, China, and the Ph.D. degree in operations research from MIT in 1989.

From 1989 to 2003, he held a faculty position with the ECE Department, McMaster University, Canada. He held a tier-1 Canada Research Chair of information processing, from 2001 to 2003. After that, he was a Full Professor at the ECE Department, University of Minnesota, and an endowed ADC Chair of digital technology. He is currently the Vice President (Academic) at The Chinese University of Hong Kong (Shenzhen) and the Director at the Shenzhen Research Institute of Big Data (SRIBD).

He has published over 350 refereed papers, books, and special issues. His research mainly addresses mathematical issues in information sciences, with particular focus on the design, analysis, and applications of large-scale optimization algorithms.

He is a fellow of SIAM. He was elected as a fellow of the Royal Society of Canada in 2014 and a foreign member of the Chinese Academy of Engineering (CAE) in 2021. He received the four Best Paper Awards from the IEEE Signal Processing Society, the one Best Paper Award from EUSIPCO, the 2020 ICCM Best Paper Award from  International Consortium of Chinese Mathematicians, the Farkas Prize from INFORMS and the prize of Paul Y. Tseng Memorial Lectureship in Continuous Optimization, and some best paper awards from international conferences. In 2022, he was awarded the First CSIAM Wangxuan Prize. He was the Editor-in-Chief for IEEE Transactions on Signal Processing (2012-2014) and served as the Associate Editor for many internationally recognized journals.

NAKAMURA, Satoshi
Best scientist in the Computer Science

Ph.D. Kyoto University

Ph.D. Nanyang Technological University

Professor Zhizheng Wu is an Associate Professor in the School of Data Science, The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen). Prior to joining CUHK-Shenzhen, he received his Ph.D. from Nanyang Technological University, Singapore in 2015 and worked for Meta (formerly named Facebook), JD.COM, Apple, University of Edinburgh, and Microsoft Research Asia. Professor Wu was awarded the INTERSPEECH 2016 Best Student Paper award (Recipient: Manu Airaksinen) and APSIPA Annual Submit and Conference 2012 Best Paper award. Professor Wu is the creator of Merlin, an open-source speech synthesis toolkit. He initiated and co-organized the first Automatic Speaker Verification Spoofing and Countermeasures (ASVspoof) challenge at Interspeech 2015, the Voice Conversion Challenge 2016, and the Blizzard Challenge 2019. He is a member of the IEEE Speech and Language Processing Technical Committee (2020-2023).
 

Ph.D. Stanford University

Prof. Hongyuan Zha is a X.Q. Deng Presidential Chair Professor of the Chinese University of Hong Kong, Shenzhen and the Associate Dean (Research) of the School of Data Science.

Prof. Hongyuan Zha received his B.S. degree in Mathematics from Fudan University in 1984, and his Ph.D. in Scientific Computing from Stanford University in 1993. He was a faculty member of College of Computing at Georgia Institute of Technology from 2006 to 2020, and the Department of Computer Science and Engineering at Pennsylvania State University from 1992 to 2006. He also worked at Inktomi Corporation from 1999 to 2001. His current research interest lies in machine learning and its applications.

Professor Zha has published over 300 papers in top journals and conferences in computer science and other related fields. According to Google Scholar, as of February 2023, he has been cited for over 30,814 times and his H-index is 85. Besides, he has won many prominent academic awards including Leslie Fox Prize (second prize,1991) awarded by the Institute of Mathematics and Applications (IMA), the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2011) Best Student Paper Award (as advising Professor), the 26th NeurIPS Outstanding Paper Award (2013).
 

Ph.D. University of Waterloo
Ph.D. Harbin Institute of Technology

Professor Zhang is X.Q. Deng Presidential Chair Professor of School of Data Science in the Chinese University of Hong Kong (Shenzhen), Director of Center for Computer Vision in Shenzhen Institute of Artificial Intelligence and Robotics for Society, Director of CUHK(SZ)-Linklogis Joint Laboratory of CV & AI.

David Zhang graduated in Computer Science from Peking University. He received his MSc in 1982 and his PhD in 1985 in both Computer Science from the Harbin Institute of Technology (HIT), respectively. From 1986 to 1988 he was a Postdoctoral Fellow at Tsinghua University and then an Associate Professor at the Academia Sinica, Beijing. In 1994 he received his second PhD in Electrical and Computer Engineering from the University of Waterloo, Ontario, Canada. He has been a Chair Professor at the Hong Kong Polytechnic University where he is the Founding Director of Biometrics Research Centre (UGC/CRC) supported by the Hong Kong SAR Government since 2005. Currently he is Presidential Chair Professor in Chinese University of Hong Kong (Shenzhen). He also serves as Visiting Chair Professor in Tsinghua University and HIT, and Adjunct Professor in Shanghai Jiao Tong University, Peking University, National University of Defense Technology and the University of Waterloo.

He is both Founder and Editor-in-Chief, International Journal of Image & Graphics (IJIG) (http://www.worldscinet.com/ijig/ijig.shtml) and Springer International Series on Biometrics (KISB) (http://www.springer.com/series/6191); Organizer, the first International Conference on Biometrics Authentication (ICBA); and Associate Editor of more than ten international journals including IEEE Transactions and so on. Over past 40 years, he have been working on pattern recognition, image processing and biometrics, where many research results have been awarded and some created directions, including palmprint recognition, computerized TCM and facial beauty analysis, are famous in the world. So far, he has published over 20 monographs, 500 international journal papers and 40 patents from USA/Japan/China. From 2014 to 2021, he has been continuously listed as a Highly Cited Researchers in Engineering by Clarivate Analytics (formerly known as Thomson Reuters) (http://highlycited.com). He is ranked 85 with H-Index 120 at Top 1,000 Scientists for international Computer Science and Electronics in 2021 (http://www.guide2research.com/scientists).

Professor Zhang is also an Distinguished Speaker of the IEEE Computer Society, and an IEEE Life Fellow and an IAPR Fellow. Professor Zhang is selected as a Fellow of both the Royal Society of Canada and the Canadian Academy of Engineering.
 

Ph.D. The State University of New York

Prof. Yin Zhang is currently a Presidential Chair professor in the School of Data Science at The Chinese University of Hong Kong, Shenzhen and Professor Emeritus at Rice University. He graduated from Chongqing Institute of Architecture and Engineering (now Chongqing University) in 1977 and received his PhD degree in Applied Mathematics from The State University of New York (SUNY) at Stony Brook in 1987.  He was a postdoctoral fellow at Rice University and an assistant professor at the University of Maryland Baltimore County.  From 1996 to 2021, he worked as an associate and then full professor in the Department of Computational and Applied Mathematics at Rice University.  His research focuses on optimization algorithms, software and applications with major contributions to the advancement of interior-point methodology and software, and algorithms in signal and image processing including in sparse optimization. He is a SIAM Fellow and served on various editorial boards of journals in the areas of optimization and computational mathematics, including SIAM Journal on Optimization and Mathematical Programming Computation. Recently, he received the Paul Y. Tseng Memorial Lectureship in Continuous Optimization Prize from the Mathematical Optimization Society.