师资力量 SDS Faculty
师资力量 SDS FACULTY
蔡小强
协理副校长
校长讲座教授
清华大学博士
全球Top 2%顶尖科学家、国家杰出青年科学基金（海外类）获得者、香港工程师学会会士、国际系统与控制科学院院士
研究领域：工业与系统工程、运筹学、供应链与物流管理
CAI, Xiaoqiang
Associate Vice President, Presidential Chair Professor
Ph.D., Tsinghua University
Experience: World’s Top 2% Scientists, The National Science Foundation for Distinguished Young Scholars (Overseas), HKIE Fellow, Academician of the International Academy for Systems and Cybernetic Sciences
Research Field: Industrial and Systems Engineering, Operations Research, and Logistics and Supply Chain Management Science
陈南
教授（客座）
哥伦比亚大学博士
香港中文大学系统工程与工程管理学系教授、香港中文大学（深圳）金融工程理学硕士项目主任
研究领域：计量金融及风险、蒙特卡罗模拟、应用概率
CHEN, Nan
Professor (Adjunct)
Ph.D., Columbia University
Experience: Director of Engineering Program in Financial Technology and Deputy Director of Master of Science Program in Financial Engineering at The Chinese University of Hong Kong
Research Field: Quantitative Methods in Finance and Risk, Monte Carlo Simulation, Applied Probability
陈天石
副教授
香港中文大学博士
Automatica编委、System & Control Letters编委、IEEE控制系统协会会议编委、第19届IFAC系统识别座谈会全体会议发言人、原林雪平大学助理教授
研究领域：系统辨识、机器学习、状态推理、数据科学、传感器融合、可扩展算法、非线性控制
CHEN, Tianshi
Associate Professor
Ph.D., The Chinese University of Hong Kong
Experience: Associate Editor for Automatica, System & Control Letters, IEEE Control System Society Conference Editorial Board, Plenary Speaker for the 19th IFAC Symposium on System Identification, Former Assistant Professor of Linköping University
Research Field: System Identification, Machine Learning, State Inference, Data Science, Sensor Fusion, Scalable Algorithms, Nonlinear Control
陈昕韫
助理教授
哥伦比亚大学博士
国际著名期刊Operations Research, Annals of Applied Probability, INFORMS Journal of Computation, Queueing Systems审稿人、美国运筹学和管理学研究协会（INFORMS）应用概率分会（Applied Probability Society）理事会成员、曾任中国运筹学会金融工程与金融风险管理分会第四届理事会常务理事(2019-2020)、《Journal of Applied Probability》《Advances in Applied Probability》副编辑，曾获国家自然科学基金资助，原武汉大学助理教授
研究领域：随机模拟、蒙特卡罗方法、排队论、强化学习
CHEN, Xinyun
Assistant Professor
Ph.D., Columbia University
Experience: Reviewer of Operations Research, Annals of Applied Probability, INFORMS Journal of Computation and Queueing Systems, Editor for Journal of Applied Probability and Advances of Applied Probability, Council Member of INFORMS Applied Probability (2019-now), Former Standing Director of Financial Engineering and Financial Risk Management Branch of OR Society of China, funded by National Science Foundation of China, Former Assistant Professor at Wuhan University
Research Field: Stochastic Simulation, Monte Carlo Methods, Queueing Models, Reinforcement Learning
陈逸伦
助理教授
康奈尔大学博士
2018年INFORMS会议金融方向最佳学生论文竞赛入围者，曾获2019年INFORMS会议Nicholson学生论文竞赛一等奖，原康奈尔大学讲师，曾任哥伦比亚大学博士后
研究领域：应用概率、序列决策、随机最优控制、最优止损与期权定价、老虎机、库存管理
CHEN, Yilun
Assistant Professor
Ph.D., Cornell University
Experience: Finalist of INFORMS 2018 Section on Finance Best Student Paper Competition, First Place of INFORMS 2019 Nicholson Student Paper Competition, Former Instructor of Cornell University, Former Postdoc at Columbia University
Research Field: Applied Probability, Sequential Decision-Making, Stochastic Control, Optimal Stopping and Option Pricing, Multi-Armed Bandits, Inventory Control
钟叶青
教授
雪城大学博士
台湾格网计算学会创建者，曾获IEEE ICPADS 2011最佳论文奖、ACM VEE 2016杰出论文奖、IEEE SC2 2017最佳论文奖、IEEE ICASI 2017最佳论文奖，原台湾清华大学教授，曾任深圳清华大学研究院云计算与容灾技术实验室副主任
研究领域：云雾计算、大数据、嵌入式系统、并行与分布式系统
CHUNG, Yeh-Ching
Professor
Ph.D., Syracuse University
Experience: Founder of Taiwan Association of Grid Computing, Best Paper Award at IEEE ICPADS (2011), IEEE SC2 (2017), IEEE ICASI (2017), Outstanding Paper Award at ACM VEE (2016), Former Professor of National Tsing Hua University, Former Deputy Director of Laboratory of Cloud Computing and Disaster Recovery Technology at Research Institute of Tsinghua University in Shenzhen
Research Field: Cloud-Fog Computing, Big Data, Embedded Systems, Parallel and Distributed Systems
校长讲座教授
加利福尼亚大学伯克利分校博士
全球Top 2%顶尖科学家、INFORMS MSOM分会“运营管理方向最佳管理科学论文奖” 、2021年MSOM服务管理方向最佳论文奖、原新加坡科技设计大学教授
研究领域 ：网络和互联网技术的经济学与行为分析、共享经济和移动性、监管政策、智能电网和能源系统、资源共享和拍卖
COURCOUBETIS, Konstantinos
Presidential Chair Professor
Ph.D., University of California at Berkeley
Experience: World’s Top 2% Scientists, Management Science Best Paper Award in Operations Managementfrom the INFORMS MSOM, 2021 MSOM Service Management Special Interest Group Best Paper Award, Former Professor at Singapore University of Technology and Design
Research Field: Economics and Performance Analysis of Networks and Internet Technologies, Sharing Economy and Mobility, Regulation Policy, Smart Grids and Energy Systems, Resource Sharing and Auctions
崔曙光
校长学勤讲座教授（特聘）
斯坦福大学博士
国际电气与电子工程师学会会士、未来智联网络研究院院长、深圳市大数据研究院常务副院长、香港中文大学（深圳）-京东集团人工智能联合实验室主任
研究领域：数据分析和信息系统
CUI, Shuguang
X.Q. Deng Presidential Chair Professor (Courtesy)
Ph.D., Stanford University
Experience: IEEE Fellow, Director of Future Network of Intelligence Institute, Executive Vice Director of Shenzhen Research Institute of Big Data, Director of CUHK (SZ)-JD Joint AI Lab
Research Field: Data Analytics and Information System
戴建岗
院长
康奈尔大学Leon C. Welch讲座教授
斯坦福大学博士
国际数理统计学会会士、运筹学和管理科学协会会士，曾获INFORMS应用概率学会Erlang奖、The ACM SIGMETRICS 终身成就奖（迄今唯一华人获奖者），《运筹学数学》前主编
研究领域 ：应用概率、流体模型、扩散模型、随机过程及强化学习、随机处理网络中的动态资源分配和优化及在半导体晶圆生产线、通信网络、数据中心和服务系统（客户呼叫中心、打车平台、航空公司、医院等）的应用
DAI, Jiangang Jim
Dean
Leon C. Welch Professor, Cornell University
Ph.D., Stanford University
Experience: IMS Fellow, INFORMS Fellow, the Erlang Award from the INFORMS Applied Probability Society, The ACM SIGMETRICS Achievement Award, Former Editor-in-Chief of Mathematics of Operations Research
Research Field: Applied Probability, Fluid Models, Diffusion Models, Stochastic Processes and Reinforcement Learning, Dynamic Resource Allocations in Stochastic Processing Networks and Their Applications to Semiconductor Wafer Fabrication Lines, Communications Network
丁宏强
校长讲座教授
哥伦比亚大学博士
全球前0.1%顶尖科学家、全球前1000位计算机科学和电子领域顶级科学家、全世界计算机领域Top 400高被引学者，曾获NASA团体成就奖、ICDM/ICMLA/ECML/ISUG最佳论文奖，曾发表美国《科学(Science)》杂志封面文章，原德克萨斯大学阿灵顿分校终身教授、原劳伦斯伯克利国家实验室计算机科学家
研究领域：机器学习、数据挖掘、生物信息学、信息检索、网络链接分析、高性能计算
DING, Hongqiang Chris
Presidential Chair Professor
Ph.D., Columbia University
Experience: World’s Top 0.1% Scientists, Top 1000 Scientists in Computer Science and Electronics, Top 400 World Highly Cited Researchers in Computer Science, NASA Group Achievement Award, Best Paper Award of ICDM/ ICMLA/ECML/ISUG, Author of Science Magazine cover story, Former Full Professor with Tenure at University of Texas at Arlington, Former Computer Scientist at the Lawrence Berkeley National Laboratory
Research Field: Machine Learning, Data Mining, Bioinformatics, Information Retrieval, Web Link Analysis, High Performance Computing
樊继聪
研究助理教授
香港城市大学博士
国际著名期刊Institute of Electrical and Electronics Engineers, Pattern Recognition, SIAM Journal on Mathematics of Data Science审稿人，曾获香港城市大学杰出学术表现奖，曾任康奈尔大学博士后研究员
研究领域：机器学习、计算机视觉、最优化、神经科学信号处理和数据分析
FAN, Jicong
Research Assistant Professor
Ph.D., City University of Hong Kong
Experience: Reviewer of Institute of Electrical and Electronics Engineers, Pattern Recognition, SIAM Journal on Mathematics of Data Science, CityU Outstanding Academic Performance Award, Former Postdoctoral Associate at Cornell University
Research Field: Machine Learning, Computer Vision, Optimization, Neuroscience Signal Processing and Data Analysis
方一向
副教授
香港大学博士
曾获2021 ACM SIGMOD Research Highlight Award、SIGMOD 2020最佳论文之一、2021年SIGMOD"突出研究奖（Research Highlight Award），曾任新南威尔士大学博士后
研究领域：面向大数据的数据管理、数据挖掘、人工智能
FANG, Yixiang
Associate Professor
Ph.D., The University of Hong Kong
Experience: 2021 ACM SIGMOD Research Highlight Award, one of the SIGMOD 2020 Best Paper, 2021 SIGMOD Research Highlight Award, Former Postdoc at The University of New South Wales
Research Field: Data Management, Data Mining, and Artificial Intelligence over Big Data
校长学勤讲座教授 （即将在2022年秋季加入）
康奈尔大学博士
哥伦比亚大学刘氏家族冠名教授、香港科技大学嘉柏有限公司冠名工程学教授、国际运筹与管理协会会士、制造与服务运营管理协会杰出会士、中国香港工程师学会会士，曾获INFORMS 2011收益管理与定价领域历史奖、INFORMS 2012 实践奖、INFORMS 2016 影响力奖、INFORMS 2005 和 2021收益管理与定价领域奖，顶级期刊《管理科学》和《运筹学》最佳论文奖（唯一同时获奖学者），曾任哥伦比亚大学工业工程与运筹学系主任年和香港科技大学工业工程与决策分析系主任
研究领域：动态定价、离散选择模型、品类优化、定价分析、动态规划
GALLEGO, Guillermo (To join in fall 2022)
X.Q. Deng Presidential Chair Professor
Ph.D., Cornell University
Experience: Liu Family Professor Emeritus at Columbia University, Crown Worldwide Professor Emeritus at the Hong Kong University of Science and Technology, INFORMS Fellow, MSOM Distinguish Fellow, HKIE Fellow, Recipient of the 2011 Historical Award of the INFORMS Revenue Management & Pricing Section, the 2012 INFORMS Practice Award, the 2016 INFORMS Impact Prize, the INFORMS Revenue Management & Pricing Section Prize (2005 and 2021), Best paper awards from both Management Science and Operations Research (the only scholar), Former Chairman of the Industrial Engineering and Operations Research (IEOR) Department at Columbia University, Former Head of the Department of Industrial Engineering and Decision Analytics at the Hong Kong University of Science and Technology
Research Field: Dynamic Pricing, Discrete Choice Models,Assortment Optimization, Pricing Analytics, Dynamic Programming
高品
助理教授
香港科技大学博士
曾在顶刊Management Science与Operations Research发表论文，曾任金融科技公司定量分析师
研究领域：收益管理、推荐系统、算法设计、机制设计
GAO, Pin
Assistant Professor
Ph.D., The Hong Kong University of Science and Technology
Experience: Papers published by Management Science, Operations Research (top journal), Former Quantitative Analyst of Fintech company
Research Field: Revenue Management, Recommendation System，Algorithm Design, Mechanism Design
郭振兴
助理教授 （即将在2022年冬季加入）
埃默里大学博士
曾获Michael H. Kutner 博士生奖，与临床医生以及生物学家进行密切合作，项目涉及哮喘、癌症以及阿尔兹海默症
研究领域：生物统计学、统计基因组学、计算生物学
GUO, Zhenxing (To join in winter 2022)
Assistant Professor
Ph.D., Emory University
Experience: Michael H. KutnerDoctoral Student Award, Collaboration project with clinician and biologist involves the study of asthma, cancer, and Alzheimer’s disease
Research Field: Biostatistics, Statistical Genomics, and Computational Biology
韩俊
助理教授
圣母大学博士
曾获ACM UbiComp 杰出论文奖，曾任IEEE VIS Short Paper 2021和2022程序委员会委员
研究领域：可视化、用户界面与交互、人机交互、深度学习
HAN, Jun
Assistant Professor
Ph.D., University of Notre Dame
Experience: Distinguished Paper Award at ACM UbiComp, program committee member at IEEE VIS Short Paper 2021 and 2022
Research Field: Visualization, User Interface and Interaction,Human-computer Interaction, Deep Learning
教授
耶鲁大学博士
以色列运筹研究学会主席，曾获以色列科学基金会资助、昆士兰大学雷布尔德奖学金，耶路撒冷希伯来大学统计系主任
研究领域：运筹学、排队模型、排队决策和战略行为、马尔可夫决策过程
HAVIV, Moshe
Professor
Ph.D., Yale University
Experience: President of the Israeli Society of Operations Research, Head of Department of Statistics at Hebrew University of Jerusalem, Israel Science Foundation Grant, The Raybould Fellowship at University of Queensland
Research Field: Operations Research, Queueing Models, Decision Making and Strategic Behavior in Queues, Markov Decision Processes
贺品嘉
助理教授
香港中文大学博士
MET/DSML/ECOOP/ASE等多个会议与研讨会程序委员会成员、TSE/TOSEM/ICSE/KDD/IJCAI等多个顶级会议和期刊审稿人，曾获ISSRE会议最具有影响力论文奖、第一届“IEEE开源软件服务奖”，曾任苏黎世联邦理工学院博士后
研究领域：软件工程、系统可靠性、自然语言处理、深度学习
HE, Pinjia
Assitant Professor
Ph.D., The Chinese University of Hong Kong
Experience: PC Member at MET, DSML, ECOOP, ASE, Reviewer of TSE, TOSEM, ICSE, KDD, IJCAI, Most Influential Paper (26 papers selected in 30 years) of ISSRE 2019, The First IEEE Open SoftwareServices Award, Former Postdoctoral Scholar at ETH Zurich
Research Field: Software Engineering, System Reliability, Natural Language Processing, Deep Learning
胡桑
助理教授
香港中文大学博士
国际著名期刊Operations Research, Finance and Stochastics, SIAM Journal on Financial Mathematics审稿人，曾获国家和省级基金，曾发表UTD顶刊论文，曾任新加坡国立大学风险管理研究所研究员
研究领域：行为金融学、风险管理学
HU, Sang
Assistant Professor
Ph.D., The Chinese University of Hong Kong
Experience: Reviewer of Operations Research, Finance and Stochastics, SIAM Journal on Financial Mathematics, funded by National and Provincial Funding, papers published by UTD (top journal), Former Research Fellow at Risk Management Institute at National University of Singapore
Research Field: Behavioral Finance and Risk Management
黄建华
副院长（教员事务及学院战略发展运营）
校长讲座教授
加州大学伯克利分校博士
全球Top 2%顶尖科学家、全球前2%高被引统计学家、美国统计协会及国际数理统计学会资深会员、国际统计学会会员，原Texas A&M大学统计系代理系主任及数据科学研究所副所长，入职前为Texas A&M大学终身教授及Arseven/Mitchell讲席教授
研究领域 ：统计学习、大数据分析及计算、非参数和半参数统计模型及推断、函数型数据和纵向数据分析、时空数据分析、贝叶斯统计、统计学与自然科学、社会科学、工程、商业等领域的交叉科学研究
HUANG, Jianhua
Associate Dean (Faculty Affairs and Strategic Operations), Presidential Chair Professor
Ph.D., University of California at Berkeley
Experience: World’s Top 2% Scientists, Top 2% Most Cited Statisticians around the World, ASA Fellow, IMS Fellow, ISI Elected Member, Former Interim Department Head of Statistics Department and Associate Director of Institute of Data Science in Texas A&M University, Texas A&M University Professor and Arseven/Mitchell Chair Professor before joining CUHK-Shenzhen
Research Field: Computational and Bayesian Statistics, Functional and Longitudinal Data Analysis, Nonparametric Statistics, Semi-parametric Inference, Statistical Machine Learning, Statistical Methods for Big Data Sets, Spatial Statistics, Statistics Applications in Business, Social and Natural Sciences, and Engineering
黄铠
校长讲座教授
加利福尼亚大学伯克利分校博士
全球Top 2%顶尖科学家、国际电气与电子工程师学会终身会士、中国科学院云计算中心的首席专家、深圳市人工智能与机器人研究院中心主任，曾获“建国70年70人科技创新成就奖”，原南加利福尼亚大学教授
研究领域：计算机体系结构、并行处理、网络安全、云计算和物联网
HWANG, Kai
Presidential Chair Professor
Ph.D., University of California at Berkeley
Experience: World’s Top 2% Scientists, IEEE Life Fellow, Chief Scientist at the Cloud Computing Center, Chinese Academy of Sciences, Director of Shenzhen Institute of Artificial Intelligence and Robotics for Society, Scientific Innovation Award among the Top 70 Scientists, Former Professor at University of Southern California
Research Field: Computer Architecture, Parallel Processing, Network Security, Cloud Computing and IoT
校长讲座教授
法兰克福大学博士
曾获2018年Joseph F. Traub基于信息复杂性研究的青年研究学家奖、2022 年“约瑟夫·特劳布奖基于信息复杂性研究成就奖” 、菲利克斯克莱因奖，原明斯特大学教授
研究领域：机器学习近似算法、计算随机学、高维偏微分方程的数值分析、随机分析和计算金融
JENTZEN, Arnulf
Presidential Chair Professor
Ph.D., Goethe University Frankfurt
Experience: 2018 Joseph F. Traub Information-Based Complexity Young Researcher Award, 2022 Joseph F. Traub Prize for Achievement in Information-Based Complexity, Felix Klein Prize, Former Professor of the University of Münster
Research Field: Machine Learning Approximation Algorithms, Computational Stochastics, Numerical Analysis for High Dimensional Partial Differential equations (PDEs), Stochastic Analysis, Computational Finance
季统凯
教授（客座）
中国科学院大学（原中国科学院研究生院）博士
中国科学院云计算中心主任、中国信息化专家委员会专家、中国云计算专家委员会委员、中国大数据专家委员会专家，曾获吴文俊人工智能自然科学奖二等奖、第十八届及十九届中国专利优秀奖、中国产学研合作创新奖、中国科学院院地合作奖先进个人（科技类）一等奖、全军科技进步二等奖、广东省科技进步二等奖
研究领域 ：云计算操作系统、大数据应用、遥感多元信息融合和高分率影像重构
JI,Tongkai
Professor (Adjunct)
Ph.D., University of Chinese Academy of Sciences
Experience: Director of Chinese Academy of Cloud Computing Industry Technology Innovation and Incubation Center, Expert of China Informatization Expert Committee, Member of China Cloud Computing Expert Committee, Expert of China Big Data Expert Committee, The 2nd prize of the 10th Wu Wenjun Artificial Intelligence Natural Science Award, Winner of the 18th and the 19th China Patent Excellence Award, 2010 China Industry and Research Cooperation Innovation Award, First Prize of Advanced Individual (Science and Technology) Award of the 2009 Chinese Academy of Sciences, the 2nd Prize of Science and Technology Progress of the Whole Army, Guangdong Province Science and Technology Progress 2nd Prize
Research Field: Cloud Computing OS, Big Data, Multi-information Fusion and Super-Resolution Image Reconstruction
贾建民
校长讲座教授（特聘）
德克萨斯大学奥斯汀分校博士
《运筹学》副主编、美国营销科学研究学会学术董事、中国市场学会学术委员会副主任
研究领域 ：大数据行为研究、社交网络、决策分析、感知风险
JIA, Jianmin
Presidential Chair Professor (Courtesy)
Ph.D., University of Texas at Austin
Experience: Associate Editor of Operations Research, Academic Trustee of Marketing Science Institute (USA), Vice Chairman of the Academic Committee of China Marketing Association
Research Field: Big Data Behavioral Research, Social Networks, Decision Making, Perceptions of Risk
李海洲
副院长（科研）
校长讲座教授
华南理工大学博士
国际电气与电子工程师学会和国际语音通信学会会士、新加坡工程院院士、国际语音通信学会主席（2015-2017）、亚太信号与信息处理协会主席（2015-2016）、亚洲自然语言处理联合会主席（2017-2018），曾获新加坡总统科技奖、《IEEE计算智能杂志》和《神经网络与学习系统汇刊》最佳论文奖，曾任顶级期刊IEEE/ACM《音频、语音和语言处理汇刊》主编，曾任ACL、INTERSPEECH、ICASSP等大会主席，新加坡国立大学客座教授、德国不来梅大学卓越讲座教授
研究领域：语音信息处理、自然语言处理、类脑计算、人机交互
LI, Haizhou
Associate Dean (Research), Presidential Chair Professor
Ph.D., South China University of Technology
Experience: IEEE/ISCA Fellow, SAEng Fellow, President of ISCA (2015-2017)/APSIPA (2015-2016)/AFNLP (2017-2018), Singapore President's Technology Award, Outstanding Paper Award of IEEE Computational Intelligence Magazine/IEEE Computational Intelligence Society Outstanding TNNLS, Former Editor-in-Chief of IEEE-ACM Transactions on Audio Speech and Language Processing, Former Member of IEEE Speech and Language Processing Technical Committee, Former General Chair of ACL/INTERSPEECH/ICASSP, Adjunct Professor at the National University of Singapore, Bremen Excellence Chair Professor at the University of Bremen
Research Field: Speech Information Processing, Natural Language Processing, Neuromorphic Computing, Human-Computer Interface
李锦兴
助理教授（客座）
香港理工大学博士
曾任香港中文大学（深圳）博士后
研究领域：模式识别、图像处理、生物特征识别、多模态学习、深度哈希学习
LI, Jinxing
Assistant Professor (Adjunct)
Ph.D., The Hong Kong Polytechnic University
Experience: Former Postdoc at The Chinese University of Hong Kong, Shenzhen
Research Field: Pattern Recognition, Image Processing, Biometric Feature Recognition, Multi-modal Learning, Deep Hash Learning
李世鹏
教授 （客座）
里海大学博士
全球Top 2%顶尖科学家、全球前1000位计算机科学和电子领域顶级科学家、国际电气与电子工程师学会会士、国际欧亚科学院院士，曾任微软亚洲研究院副院长与科大讯飞副总裁兼研究院联席院长
研究领域：图像/视频信号处理、分析、编码、传输和通信，多媒体内容分析和搜索，机器学习和人工智能，计算机视觉
LI, Shipeng
Professor (Adjunct)
Ph.D., Lehigh University
Experience: World’s Top 2% Scientists, Top 1000 Scientists in Computer Science and Electronics, IEEE Fellow, IEAS Academician, Co-Founder/Principal Researcher/Research Area Manager of Microsoft Research, Corporate VP and Co-President of Research in iFlytek
Research Field: Image/Video Processing, Analysis, Coding, Streaming and Communications; Multimedia Content Analysis and Search; Machine-learning and AI; Computer Vision
李爽
助理教授
佐治亚理工学院博士
曾获INFORMS QSR最佳学生论文竞赛决赛入围奖、INFORMS社交媒体分析最佳学生论文竞赛决赛入围奖、H. Milton Stewart工业学院研究生贾维斯奖第二名、中国科学技术大学自动化系优秀本科论文奖，曾任哈佛大学博士后
研究领域：时序数据分析和决策的机器学习方法及其在医疗保健、智慧城市和社交媒体中的应用
Shuang, Li
Assistant Professor
Ph.D., Georgia Institute of Technology
Experience: INFORMS QSR Best Student Paper Competition Finalist Award, INFORMS Social Media Analytics Best Student Paper Competition Finalist Award, Second Place of Jarvis Award for Graduate Student Research in H. Milton Stewart School of Industrial and Systems Engineering at Georgia Institute of Technology, Outstanding Undergraduate Thesis of Department of Automation at University of Science and Technology of China, Former Postdoctoral Fellow at Harvard University
Research Field: Machine Learning for Sequential Data Analysis and Decision-making, Applications to Healthcare, Smart Cities, and Social Media
李彤欣
助理教授
加州理工学院博士
曾获Resnick可持续发展中心2021影响力资助奖，曾两次任亚马逊云计算安全组实习应用科学家，曾参与可再生能源实验室、帕萨迪纳市水电局以及加州理工学院能源设施中心多个电力系统优化设计合作项目
研究领域：可信机器学习、在线学习、智能电网、电力系统与控制
LI, Tongxin
Assistant Professor
Ph.D., California Institute of Technology
Experience: Recipient of the 2021 Impact Grants from the Resnick Sustainability Institute, Applied Scientist at AWS Security (Intern, two times), Participated in various projects on power systems in collaboration with NREL, Pasadena Water and Power, and Caltech Facilities
Research Field: Trustworthy Machine Learning, Online Learning, Power Systems, Smart Grid and Control
李文烨
研究副教授
香港中文大学博士
2021年国际人工智能联合会议领域主席，曾获广东省基础与应用基础研究基金自然科学基金面上项目资助、IEEE-ICAL会议最佳论文奖，曾任香港中文大学和加拿大阿尔伯塔大学博士后
研究领域：机器学习、人工智能、凸优化、概率推理
LI, Wenye
Research Associate Professor
Ph.D., The Chinese University of Hong Kong
Experience: Area Chair of IJCAI’2021, funded by Natural Science Foundation of Guangdong Province General Program, IEEE-ICAL Conferences Best Paper Award, Former Postdoc at The Chinese University of Hong Kong and University of Alberta
Research Field: Machine Learning, Artificial Intelligence, Convex Optimization, and Probabilistic Inference
李肖
助理教授
香港中文大学博士
国际著名期刊Journal of Machine Learning Research, IEEE Transactions on Signal Processing, NeurIPS, ICLR审稿人，论文曾发表在2019神经信息处理系统大会NeurIPS (排名前3%)、2020国际学习表征会议(排名前1.85%)、国际性学术刊物如SIAM优化期刊、SIAM成像科学期刊、IEEE图像处理汇刊，曾任香港中文大学助教
研究领域：数据科学、计算成像、机器学习、数学优化
LI, Xiao
Assistant Professor
Ph.D., The Chinese University of Hong Kong
Experience: Reviewer of Journal of Machine Learning Research, IEEE Transactions on Signal Processing, NeurIPS, ICLR, Paper published by Neural Information Processing Systems (NeurIPS 2019, Spotlight, Top 3%), International Conference on Learning Representation (ICLR 2020, Oral, Top 1.85%), SIAM Journal on Optimization, SIAM Journal on Imaging Sciences, IEEE Transactions on Image Processing, Former Teaching Assistant at The Chinese University of Hong Kong
Research Field: Data Science, Computational Imaging, Machine Learning, Mathematical Optimization
李兆媛
助理教授
香港大学博士
曾获CCF-腾讯犀牛鸟基金资助，曾任香港大学经济及工商管理学院博士后和兼职讲师
研究领域：高维统计、随机矩阵、统计方法应用、机器学习、金融科技
LI, Zhaoyuan
Assistant Professor
Ph.D., The University of Hong Kong
Experience: Funded by CCF-Tencent Rhino Bird Fund; Post-doctoral Fellow and part-time Lecturer at Faculty of Business and Economics, The University of Hong Kong
Research Field: High-Dimensional Statistics, Random Matrix Theory, Applications of Statistical Methods, Machine Learning, Financial Technology
梁家铭
助理教授 （学术休假中）
佐治亚理工学院博士
曾获佐治亚理工学院工业与系统工程系Shabbir Ahmed优秀研究奖学金（优化方向）、Alice and John Jarvis博士论文奖提名，曾任耶鲁大学计算机系博士后
研究领域：连续优化、高维采样
LIANG, Jiaming (On academic leave)
Assistant Professor
Ph.D., Georgia Institute of Technology
Experience: Shabbir Ahmed Fellowship for excellence in research (Optimization) of Georgia Tech ISyE, Alice and John Jarvis Ph.D. Student Paper Competition Honorable Mention of Georgia Tech ISyE, Former Postdoc in the Department of Computer Science at Yale University
Research Field: Continuous Optimization, High-dimensional Sampling
刘桂良
助理教授（即将在2022年冬季加入）
西蒙菲莎大学博士
NeurIPS、ICML、ICLR审稿人，曾获MITACS学术训练奖和中国国家奖学金，曾任加拿大滑铁卢大学博士后和维克特研究院的研究员
研究方向：增强学习，包括基于模型的增强学习、可解释性增强学习、智能体评价和表示学习；增强学习相关的应用，包括信息提取和体育运动分析
LIU, Guiliang (To join in winter 2022)
Assistant Professor
Ph.D., Simon Fraser University
Experience: Reviewer of NeurIPS, ICML, ICLR, etc., MITACS Research Training Award Canada, National scholarship from China, Former Postdoctoral Fellow at the University of Waterloo, Former Affiliated Researcher at Vector Institute
Research Field: Reinforcement Learning (RL), including Model-based RL, Interpretable RL, Agent Evaluation and Representation Learning; RL-relevant Applications, including Information Extraction and Sports Analytics
吕伯君
助理教授（教学）
香港中文大学博士
曾任国际对冲基金千禧年资本中国区子公司世坤投资咨询有限公司、前海人寿保险资产管理部门以及平安保险集团总部风险管理部门量化投资研究员与量化建模研究员
研究方向：离散数学与算法设计、运筹优化、应用数学建模与算法设计
LU, Bojun
Assistant Professor (Teaching)
Ph.D., The Chinese University of Hong Kong
Experience: Quantitative Researcher at WorldQuant LLC, Capital Management Department of Qian Hai Life Insurance Co., Ltd., and Scientific Modeling Researcher at the Risk Management Department of Ping An Insurance (Group) Company of China, Ltd.
Research Field: Discrete Mathematics and Algorithm Design, Operations Research, Applied Mathematics in Modeling and Algorithm Design
鲁家琦
助理教授
哥伦比亚大学博士
国际著名期刊Operations Research审稿人，曾任哥伦比亚大学助教
研究领域：匹配市场设计、供应链管理、客户关系管理
LU, Jiaqi
Assistant Professor
Ph.D., Columbia University
Experience: Former Reviewer of Operations Research, Former Teaching Assistant at Columbia University
Research Field: Analysis and Design of Large Matching Markets, Supply Chain Management and Customer Relationship Management
罗效东
专业应用教授（客座）
麻省理工学院博士
曾任麻省理工学院博士后研究员
研究领域：配对优化器的原对偶子问题列生成方法，民航运营恢复、定价及收益管理，连续线性程序，生产制造系统算法，应用统计，组合优化
LUO, Xiaodong
Professor of Practice (Adjunct)
Ph.D., Massachusetts Institude of Technology
Experience: Former Postdoctoral Research Fellow at Massachusetts Institute of Technology
Research Field: The Primal-dual Subproblem Column Generation Approach for the Pairing Optimizer, Airline Operations Recovery/Pricing and Revenue Management, Continuous Linear Programs, Algorithms for Manufacturing Systems, Applied Statistics, Combinatorial Optimization
罗智泉
副校长（学术）
校长学勤讲座教授
麻省理工学院博士
全球Top 2%顶尖科学家、全球前1000位计算机科学和电子领域顶级科学家、中国工程院外籍院士、加拿大皇家科学院院士、国际电气与电子工程师学会会士、美国工业与应用数学学会会士、深圳市大数据研究院院长、香港中文大学（深圳）- 腾讯 AI Lab 机器智能联合实验室主任、华为未来网络系统优化创新实验室主任
研究领域：大数据分析的最优化方法、信号处理中的算法设计与复杂性分析、数据通信
LUO, Zhiquan Tom
Vice President (Academic), X.Q. Deng Presidential Chair Professor
Ph.D., Massachusetts Institute of Technology
Experience: World’s Top 2% Scientists, Top 1000 Scientists in Computer Science and Electronics, Foreign Member of the Chinese Academy of Engineering, Fellow of the Royal Society of Canada, IEEE Fellow, SIAM Fellow, Director of Shenzhen Research Institute of Big Data, Director of CUHK (SZ)-Tencent AI Lab Joint Laboratory of Machine Intelligence, Director of Huawei Innovation Laboratory for Future Network Systems Optimization
Research Field: Optimization Methods for Big Data Analytics, Complexity and Computational Issues arising from Signal Processing, Digital Communication
马晨昊
助理教授
香港大学博士
曾任多个顶级期刊（如 TKDE 和 VLDBJ）的审稿人，曾获SIGMOD 2020会议的最佳论文之一（4/458）、2021 ACM SIGMOD Research Highlight奖
研究方向：大规模数据管理和数据挖掘
MA, Chenhao
Assistant Professor
Ph.D., The University of Hong Kong
Experience: Former reviewer for top journals such as TKDE and VLDBJ, One of four Best of SIGMOD 2020 (4/458), ACM SIGMOD Research Highlight Award 2021
Research Field: Large-scale Data Management and Data Mining
教授 （短期特邀）
康奈尔大学博士
运筹学和管理科学协会会士、制造业与服务业经营管理协会会士、以色列理工学院服务企业工程实验室联合创建者，曾获Technion Yanai学术教育卓越奖、Technion Taub学术卓越奖、就职服务研究创新奖
研究领域：随机网络、概率和随机过程、统计、数学编程、控制理论、服务系统（医院、呼叫中心、银行）
MANDELBAUM, Avishai
Professor (Fractional)
Ph.D., Cornell University
Experience: INFORMS Fellow, MSOM Fellow, Co-founder of the Technion Service Enterprise Engineering Laboratory, Technion's Yanai Prize, Technion Taub Prize, Inaugural Service Research Innovation Award
Research Field: Stochastic Networks, Probability and Stochastic Processes, Statistics, Mathematical Programming, Control Theory, Service Systems (hospitals, contact centers, banks)
茅剑锋
副教授
数据科学硕士项目联合主任
波士顿大学博士
Discrete Event Dynamic Systems: Theory and Applications期刊副编辑，曾获2020 Integrated Communications最佳会议论文奖、Navigation and Surveillance Conference最佳会议论文奖、2017 IEEE Conference on Automation Science and Engineering最佳会议论文奖、2020年深圳市优秀教师称号，原南洋理工大学助理教授
研究领域 ：数据驱动的网络建模与优化、多智能体离散事件动态系统、智能交通与物流系统
MAO, Jianfeng
Associate Professor, Co-director of MSc in Data Science Programme
Ph.D., Boston University
Experience: Associate Editor of the Journal of Discrete Event Dynamic Systems: Theory and Applications, 2020 Integrated Communications Best Paper Award, Navigation and Surveillance Conference Best Paper Award, 2017 IEEE Conference on Automation Science and Engineering Best Paper Award, 2020 Shenzhen Excellent Teacher Award, Former Assistant Professor of Nanyang Technological University
Research Field: Data-Driven Network Modeling and Optimization, Multi-Agent Discrete Event Dynamic Systems, Smart Transportation and Logistics Systems
缪一铭
研究助理教授
华中科技大学博士
第十二届EAI网络与社区发展国际会议网络主席、第七届云计算国际会议本地主席，曾发表30多篇论文（4篇IEEE Trans./Journal），谷歌学术引用达700多次
研究领域：数据驱动的通信、边缘计算和物联网
MIAO, Yiming
Research Assistant Professor
Ph.D., Huazhong University of Science and Technology
Experience: Web Chair for 12th EAI International Conference for the Development of Networks & Communities, Local Chair for 7th International Conference on Cloud Computing, 30+ paper published (4 by IEEE Trans./Journal), 700+ academic citations from Google
Research Field: Data-Driven Communications, Edge Computing, and Internet of Things
助理教授
德国慕尼黑工业大学博士
曾任北京大学博士后
研究领域 ：非光滑优化、大规模随机优化、二阶方法和理论
MILZAREK, Andre
Assistant Professor
Ph.D., Technical University of Munich
Experience: Former Postdoc at Peking University
Research Field: Nonsmooth Optimization, Large-scale and Stochastic Optimization, Second Order Methods and Theory
教授 （短期特邀）
日本东京工业大学博士
东京理科大学教授
研究领域 ：随机网络、排队理论、应用概率 、渐近分析
MIYAZAWA, Masakiyo
Professor (Fractional)
Ph.D., Tokyo Institute of Technology
Experience: Professor at Tokyo University of Science
Research Field: Stochastic Network, Queueing theory, Applied Probability, Asymptotic Analysis
濮实
助理教授
弗吉尼亚大学博士
曾获国家自然科学基金青年科学基金资助，曾任波士顿大学和弗洛里达大学博士后研究员、亚利桑那州立大学博士后
研究领域：分布式优化、机器学习、多智能体网络
PU, Shi
Assistant Professor
Ph.D., University of Virginia
Experience: Funded by Youth Program of National Natural Science Foundation of China, Former Postdoctoral Associate at Boston University and University of Florida, Former Postdoctoral Scholar at Arizona State University
Research Field: Distributed Optimization, Machine Learning, Multi-agent Networks
宋方达
助理教授（定期聘任）
香港中文大学博士
加拿大统计杂志《复杂性评论》审稿人
研究领域：贝叶斯统计、统计基因组学、统计计算和大数据分析
SONG, Fangda
Assistant Professor (Fixed Term)
Ph.D., The Chinese University of Hong Kong
Experience: Reviewer for Complexity, The Canadian Journal of Statistics
Research Field: Bayesian Statistics, Statistical Genomics, Statistical Computing, and Big Data Analysis
孙启霖
助理教授
阿卜杜拉国王科技大学博士
点昀技术创始人
研究领域：计算成像、光学、深度/超快速成像、基于物理学的渲染与仿真、深度学习、优化
SUN, Qilin
Assistant Professor
Ph.D., King Abdullah University of Science and Technology
Experience: Founder of Point Spread Technology
Research Field: Computational Photography, Optics, Depth/Transient Imaging, Physical Based Rendering and Simulation, Deep Learning, Optimization
孙若愚
副教授
明尼苏达大学博士
NeurIPS、ICML、ICLR、AISTATS等人工智能会议领域主席，曾获INFORMS George Nicolson学生论文竞赛第二名、INFORMS优化协会学生论文竞争荣誉奖，曾任脸书人工智能研究所全职访问科学家，原伊利诺伊大学香槟分校助理教授
研究领域：深度学习理论和算法、生成模型、大规模优化算法、学习优化、图神经网络、人工智能在通信网络的应用、通信网络容量理论、通信网络优化算法
SUN, Ruoyu
Associate Professor
Ph.D., University of Minnesota
Experience: Area Chair of NeurIPS, ICML, ICLR, AISTATS andother artificial intelligence conferences, the 2nd place of INFORMS George Nicholson student paper competition, Honorable Mention of INFORMS optimizationsociety student paper competition, Former Visiting Research Scientist at the Facebook AIInstitute, Former Assistant Professor at theUniversity of Illinois at Urbana-Champaign
Research Field: Deep Learning Theory, Generative Models, Large-scale Optimization, Learning to Optimize, Graph Neural Nets, AI for Communication, Information Theory, Wireless Communications
曾家炜
研究助理教授
斯坦福大学博士
曾获国家自然科学基金青年项目资助，曾任斯坦福大学访问讲师、International Conference on Conceptual程序委员会会员
研究领域 ：计算数学、金融工程与数据分析、机器学习与时间序列分析
TSANG, Ka Wai
Research Assistant Professor
Ph.D., Stanford University
Experience: Funded by Youth Program of National Natural Science Foundation of China, Visiting Instructor of Stanford University, Former PC member of International Conference on Conceptual
Research Field: Computational Mathematics, Financial Engineering and Data Analytics, Machine Learning and Time Series Analysis
万翔
副教授（客座）
艾伯塔大学博士
深圳市大数据研究院研究科学家及医疗大数据实验室主任
研究领域：整合分析、数据挖掘、大规模基因组数据分析、高性能计算、循证医学
WAN, Xiang
Associate Professor (Adjunct)
Ph.D., University of Alberta
Experience: Research Scientist and Director of Medical Big Data Lab at Shenzhen Research Institute of Big Data
Research Field: Meta-analysis, Data Mining, Large-scale Genomic Data Analysis, High Performance Computing, Evidence-based Medicine
王趵翔
助理教授
香港中文大学博士
国际著名期刊ICML, NeurIPS, ICLR, Pattern Recognition审稿人，曾任加拿大皇家银行研究所研究员
研究领域：强化学习、在线学习、学习理论
WANG, Baoxiang
Assistant Professor
Ph.D., The Chinese University of Hong Kong
Experience: Reviewer of ICML, NeurIPS, ICLR, Pattern Recognition, Former Student Research Scientist at Royal Bank of Canada Research Institute
Research Field: Reinforcement Learning, Online Learning, and Learning Theory
王本友
助理教授
意大利帕多瓦大学博士
曾获NAACL 2019最佳可解释NLP论文、SIGIR 2017最佳论文提名奖、玛丽居里奖学金，长期担任ICLR/NeurIPS/ICML审稿人
研究领域：自然语言处理、信息检索、应用机器学习
WANG, Benyou
Assistant Professor
Ph.D., University of Padua
Experience: Best Explainable NLP Paper in NAACL 2019, Best Paper Nomination Award in SIGIR 2017, Marie Curie Fellowship, Reviewer of ICLR, NeurIPS and ICML
Research Field: Natural Language Processing (NLP), Information Retrieval, Applied Machine Learning, Quantum Machine Learning
王子卓
副院长（教学）
教授
斯坦福大学博士
杉数科技创始人、CTO，曾获国家自然科学基金原创探索计划项目资助，Adobe数字营销研究奖、CSAMSE最佳论文奖，原明尼苏达大学副教授
研究领域 ：随机和鲁棒优化、数据驱动决策问题、定价和收益管理
WANG, Zizhuo
Associate Dean (Education), Professor
Ph.D., Stanford University
Experience: Co-founder and CTO of Cardinal Operations, funded by Innovative Exploration Program of National Natural Science Foundation of China, Adobe Digital Marketing Research Award, CSAMSE Best Paper Award, Former Associate Professor at University of Minnesota
Research Field: Stochastic and Robust Optimization, Data-Driven Decision-Making, Pricing and Revenue Management
吴保元
副教授
中国科学院自动化研究所博士
深圳市大数据研究院大数据安全计算实验室主任、NeurIPS2022区域主席、Neurocomputing期刊编委，曾获国家自然科学基金面上项目资助，曾任腾讯AI Lab专家研究员
研究方向：人工智能安全隐私、计算机视觉、机器学习与最优化
WU, Baoyuan
Associate Professor
Ph.D., Pattern Recognition and Intelligent Systems, Chinese Academy of Sciences
Experience: Director of Big Data Secure Computing Lab at Shenzhen Research Institute of Big Data, Area Chair of NeurIPS 2022, Associate Editor of Neurocomputing, funded by General Program of National Natural Science Foundation of China, Former Principal Research Scientist in Tencent AI Lab
Research Field: AI Security and Privacy, Machine Learning, Computer Vision and Optimization
吴均峰
副教授
香港科技大学博士
曾获中国控制会议（CCC2015）关肇直奖，原浙江大学教授，曾任瑞典皇家工学院研究员与博士后研究员
研究领域：分布式系统、网络控制系统、卡尔曼滤波、信号处理、信息物理系统安全与隐私
WU, Junfeng
Associate Professor
Ph.D., The Hong Kong University of Science and Technology
Experience: Guan Zhaozhi Best Paper Award of the 34th China Control Council (CCC2015), Former Professor at Zhejiang University, Former Researcher and Former Postdoctoral Researcher at the Royal Institute of Technology
Research Field: Distributed Systems, Control Network Systems, Kalman Filtering, Signal Processing, Cyber Security and Privacy
武执政
副教授
南洋理工大学博士
IEEE语音与语言处理技术委员会委员，曾获INTERSPEECH 2016最佳学生论文奖、2012亚太信号与信息处理协会年度峰会最佳论文奖，曾在Meta (原Facebook)、京东、苹果、爱丁堡大学、微软亚洲研究院等机构从事学术研究和技术研发工作
研究领域：语音信息处理、语音生成、深度伪造检测
WU, Zhizheng
Associate Professor
Ph.D., Nanyang Technological University
Experience: IEEE Speech and Language Processing Technical Committee Member, INTERSPEECH 2016 Best Student Paper award (Recipient: Manu Airaksinen), APSIPA Annual Submit and Conference 2012 Best Paper award, Worked for Meta (formerly named Facebook), JD.COM, Apple, University of Edinburgh, and Microsoft Research Asia
Research Field: Speech Processing, Speech Synthesis, DeepFake Detection
谢李岩
助理教授
佐治亚理工学院博士
曾入围2019年INFORMS会议QSR方向最佳学生论文奖，曾入围2020年伯克利大学EECS领域“女性学术新星”、曾获2020年佐治亚理工学院IDEaS-TRIAD和ARC-TRIAD奖学金，曾任佐治亚理工学院讲师
研究领域：基于传感器网络及卫生保健的数据科学研究、序贯变化检测、鲁棒优化
XIE, Liyan
Assistant Professor
Ph.D., Georgia Institude of Technology
Experience: Finalist of INFORMS QSR Best Student Paper Award 2019; participated in EECS Rising Stars Workshop 2020; IDEaS-TRIAD Research Fellowship and ARC-TRIAD Fellowship, Georgia Institute of Technology 2020; Former Instructor at Georgia Institute of Technology
Research Field: Theoretical and Methodological Foundations of Data Science Inspired by Important Applications (Sensor Networks and Health Care), with a particular interest in Sequential Change Detection and Robust Hypothesis Test through the Lens of Robust Optimization
严明
副教授
加州大学洛杉矶分校博士
曾获2020脸书教授奖（Facebook Faculty Award），曾在密西根州立大学计算数学、科学与工程系和数学系任助理教授和副教授，曾任莱斯大学计算与应用数学系和加州大学洛杉矶分校数学系博士后研究员
研究领域：分布式优化、稀疏优化、机器学习、大规模优化算法
YAN, Ming
Associate Professor
Ph.D., University of California, Los Angeles
Experience: 2020 Facebook Faculty Award, Former Assistant Professor (tenure-track) and Associate Professor (tenured) in the Department of Computational Mathematics, Science and Engineering (CMSE) and the Department of Mathematics at Michigan State University, Former PostdoctoralScholar and Assistant Adjunct Professor at University of California, LosAngeles, Former Postdoctoral Fellow in the Department of Computational andApplied Mathematics at Rice University
Research Field: Distributed Optimization, Sparse Optimization, Machine Learning, Large-Scale Optimization
杨浩翔
助理教授
西北大学博士
著名国际期刊Mathematical Programming, Naval Research Logistics, Electric Power Systems Research审稿人，曾任美国洛斯阿拉莫斯国家实验室博士后研究员
研究领域：不确定性下的优化、整数规划、能源系统
YANG, Haoxiang
Assitant Professor
Ph.D., Northwestern University
Experience: Reviewer of Mathematical Programming, Naval Research Logistics, Electric Power Systems Research, Former Postdoctoral Research Associate at Los Alamos National Laboratory
Research Field: Optimization under Uncertainty, Integer Programming, Energy Systems
杨林骥
专业应用副教授（短期特邀）
乔治亚理工学院博士
Facebook iOS优化首席工程师
研究领域：随机算法、应用概率、统计物理学中的相变、社交网络、金融市场的定量分析
YANG, Linji
Associate Professor of Practice (Fractional)
Ph.D., Georgia Institute of Technology
Experience: Lead Engineer for Facebook iOS main app
Research Field: Randomized Algorithms, Applied Probability, Phase Transitions in Statistical Physics, Social Network, Quantitative Analysis on Financial Markets
姚建峰
校长讲座教授
巴黎萨克雷大学博士（原巴黎第十一大学）
美国数理统计学会会士、国际统计学会会员、伯努利数理统计与概率学会理事会成员、Journal of Multivariate Analysis及Random Matrices: Theory and Applications副主编、曾任Bernoulli期刊编委，香港大学教授、山东大学数学学院特聘教授
研究领域：随机矩阵理论和高维统计、高维计量经济学模型、马尔可夫链和马尔可夫过程、时间序列分析、网络数据分析、数字图像分析
YAO, Jeff J
Presidential Chair Professor
Ph.D., Université Paris-Saclay (former Université Paris-Sud Orsay)
Experience: IMS Fellow, ISI Elected Member, member of the Council of the Bernoulli Society for Mathematical Statistics and Probability, Associate Editor in Journal of Multivariate Analysis, Random Matrices: Theory and Applications, Former Associate Editor of Bernoulli, Full Professor of the University of Hong Kong, Special Guest Professor at the School of Mathematics, Shandong University
Research Field: Random Matrix Theory and High-Dimensional Statistics, High-Dimensional Econometrics Models, Markov Chains and Markov Processes, Time Series Analysis, Network Data Analysis, Digital Image Analysis
于天舒
助理教授
亚利桑那州立大学博士
曾获亚利桑那州立大学工程研究生奖学金，曾任亚利桑那州立大学助教、飞利浦医疗算法工程师
研究领域：机器学习、组合问题优化、图学习和优化、循环神经网络、行列式点过程
YU, Tianshu
Assistant Professor
Ph.D., Arizona State University
Experience: Engineering Graduate Fellowship at Arizona State University, Former Teaching Assistant at Arizona State University, Former Algorithm Engineer in Philips Healthcare
Research Field: Machine Learning, Optimization of Combinatorial Problems, Optimization and Learning of Graph, RNNs and Determinantal Point Process
于天维
副院长（学生事务）
教授
加利福尼亚大学洛杉矶分校博士
曾获中国教育部科学研究优秀成果奖，国际学术期刊Scientific Reports、Current Metabolomics 编委，曾任Frontiers in Genetics期刊编委，原美国埃默里大学终身教授
研究领域 ：生物信息学、统计学、机器学习
YU, Tianwei
Associate Dean (Student Affairs), Professor
Ph.D., University of California, Los Angeles
Experience: China‘s Ministry of Education Prize for Excellent Achievement in Scientific Research, Associate Editor for Scientific Reports and Current Metabolomics, Former Associate Editor for Frontiers in Genetics, Former Professor with Tenure at Emory University
Research Field: Bioinformatics, Statistics, Machine Learning
查宏远
执行院长
校长学勤讲座教授
斯坦福大学博士
全球Top 2%顶尖科学家、全球前1000位计算机科学和电子领域顶级科学家，曾获NIPS杰出论文奖、Leslie Fox数值分析奖，SIGIR最佳学生论文奖指导教授，深圳市人工智能与机器人研究院副院长、原佐治亚理工学院教授
研究领域 ：机器学习及应用
ZHA, Hongyuan
Executive Dean, X.Q. Deng Presidential Chair Professor
Ph.D., Stanford University
Experience: World’s Top 2% Scientists, Top 1000 Scientists in Computer Science and Electronics, NIPS Outstanding Paper Award, Leslie Fox Award, Advisor of SIGIR Best Student Paper Award, Vice President of Shenzhen Institute of Artificial Intelligence and Robotics for Society, Former Professor of Georgia Institute of Technology
Research Field: Machine Learning and Applications
张大鹏
校长学勤讲座教授
哈尔滨工业大学、滑铁卢大学博士
全球Top 2%顶尖科学家、全球前1000位计算机科学和电子领域顶级科学家、加拿大皇家科学院院士、加拿大工程院院士、国际电气与电子工程师学会终身会士、国际模式识别协会会士、国际图像和图形学报和Springer国际生物识别丛书创始人/主编，曾获中韩发明金奖及特殊金奖、日内瓦发明展银奖、“裘槎优秀科研者” 奖，连续8年（2014-2021年）Clarivate Analytics全球高被引科学家 、深圳市人工智能与机器人研究院中心主任
研究领域：模式识别、图像处理、生物特征识别
ZHANG, David
X.Q. Deng Presidential Chair Professor
Ph.D., Harbin Institute of Technology, University of Waterloo
Experience: World’s Top 2% Scientists, Top 1000 Scientists in Computer Science and Electronics, Fellow of the Royal Society of Canada, Fellow of Canadian Academy of Engineering, IEEE Life Fellow, IAPR Fellow, Founder and Editor-in-Chief in International Journal of Image & Graphics (IJIG) and Springer International Series on Biometrics (KISB), The Gold and Special Gold Awards for Inventions awarded by China and South Korea, The Silver Award at the Geneva Invention Exhibition and The "Chroucher Foundation Outstanding Researcher" Award, Highly Cited Researchers in Engineering by Clarivate Analytics (2014-2021), Executive President of Shenzhen Institute of Artificial Intelligence and Robotics for Society
Research Field: Pattern Recognition, Image Processing and Biometrics
张海伦
助理教授
香港科技大学博士
曾提名香港科技大学第八届香港生产与运营管理协会国际会议最佳学生论文奖荣誉，曾任香港科技大学工业工程及決策分析学系博士后研究员
研究领域：数据驱动的排队网络、在线算法设计、供应链管理和应用
ZHANG, Hailun
Assistant Professor
Ph.D., The Hong Kong University of Science and Technology
Experience: Honorable Mention at the 8th POMS-HK International Conference Best Student Paper Competition, The Hong Kong University of Science and Technology (HKUST); Former Postdoctoral Fellow at the Department of IEDA, HKUST
Research Field: Data-Driven Queuing Networks, Online Algorithm Design, Supply Chain Management and Applications
张经纬
助理教授 （学术休假中）
杜克大学博士
国际著名期刊Management Science、INFORMS Journal on Computing审稿人，曾任哥伦比亚大学博士后
研究领域：近似动态规划、随机模型
ZHANG, Jingwei (On academic leave)
Assistant Professor
Ph.D., Duke University
Experience: Reviewer forManagement Science and INFORMS Journal on Computing, Former postdoctoralresearch scholar at Columbia University
Research Field: Approximate Dynamic Programming, Stochastic Modeling
张瑞茂
研究助理教授
中山大学博士
深圳市大数据研究院研究科学家、国际著名期刊和会议（International Journal of Computer Vision, Neural Information Processing Systems）审稿人，曾获Google YouTube大规模视频挑战赛金牌，ESI高被引论文，曾任商汤研究院深度学习核心技术组高级研究员
研究领域：计算机视觉、深度学习
ZHANG, Ruimao
Research Assistant Professor
Ph.D., Sun Yat-sen University
Experience: Research Scientist at the Shenzhen Research Institute of Big Data, Reviewer of International Journal of Computer Vision, Neural Information Processing Systems, Google YouTube 8M Video Understanding Challenge (Golden Metal), ESI highly cited paper, Senior Researcher at the SenseTime Research, Shenzhen
Research Field: Computer Vision, Deep Learning
张寅
校长讲座教授
纽约州立大学石溪分校博士
全球Top 2%顶尖科学家、美国工业与应用数学学会会士，曾获INFORMS运筹学与计算机科学交叉学科卓越研究奖、JORSC首届优秀论文奖，美国莱斯大学正教授（退休）
研究领域：最优化算法的设计分析以及数值实现、最优化算法在各领域的应用，特别是在数据科学、图像与信号处理、机器学习等领域的应用
ZHANG, Yin
Presidential Chair Professor
Ph.D., The State University of New York at Stony Brook
Experience: World’s Top 2% Scientists, SIAM Fellow, The ICS Prize for Research Excellence in the Interface Between Operations Research and Computer Science, JORSC First Excellent Paper Award, Full Professor at Rice University (Retired)
Research Field: Numerical Optimization, Algorithm Design, Analysis and Implementation, Applications of Optimization in Various Areas, Particularly in Data Science, Image/Signal Processing and Machine Learning
张云翼
助理教授
加利福尼亚大学圣迭戈分校博士
曾任 Journal of Time Series Analysis 杂志审稿人
研究领域：时间序列分析、重抽样方法、高维数据分析及无参数统计
ZHANG, Yunyi
Assistant Professor
Ph.D., University of California San Diego
Experience: Former Reviewer for Journal of Time Series Analysis
Research Field: Time Series Analysis, Resampling and Bootstrap Method,High-dimensional Data Analysis and Nonparametric Statistics
赵建良
教授（特聘）
加利福尼亚大学伯克利分校博士
香港中文大学（深圳）校长讲座教授 、深圳高等金融研究院区块链与智能科技中心主任，原香港城市大学信息系统讲座教授，曾任香港城市大学信息系统系主任
研究领域：金融科技、区块链技术和业务应用、商业中的大数据应用、工作流技术与管理
ZHAO, Jianliang Leon
Professor (Courtesy)
Ph.D., University of California at Berkeley
Experience: Presidential Chair Professor of the Chinese University of Hong Kong (Shenzhen), Director of Center on Blockchain and Intelligent Technology of Shenzhen Finance Institute, Former Chair Professor and Former Head of Information Systems at City University of Hong Kong
Research Field: FinTech, Blockchain Technology and Business Applications, Big Data Applications in Business, Workflow Technology and Management
朱道立
教授（短期特邀）
国立巴黎高等矿业学校博士
上海交通大学安泰经济与管理学院校特聘教授（退休），曾获首届中国管理学一等奖、中国改革开放30周年物流杰出奖与中国改革开放40周年物流杰出奖，曾任上海交通大学中美物流研究院院长、中国学位委员会学科评议组成员和中国自然科学基金委评委
研究领域：最优化与均衡、数字供应链与智能物流、交通科学、平台经济与管理
ZHU, Daoli
Professor (Fractional)
Ph.D., Ecole National des Mines de Paris
Experience: Distinguished Professor at Antai College of Economy and Management (retired), Excellent Prize for Management (First Prize) of China, Excellent Prize of Logistics for thirty years in China and Excellent Prize of Logistics for forty years in China, Former Dean of Sino-US Global logistics Institute at Shanghai Jiao Tong University, Former Member of Management Science Group of Academic Committee of State Council of China, Former Panel member of National Science Foundation of China
Research Field: Optimization and Equilibrium, Digital Supply Chain and Smart Logistics, Transportation Science, Platform Economics and Management
宗成庆
教授（客座）
中国科学院计算技术研究所博士
国际计算语言学委员会委员、亚洲自然语言处理学会主席、国际期刊 ACM TALLIP 副主编、IEEE Intelligent Systems 编委，曾获中国科学院优秀导师奖、北京市优秀教师、国家科技进步奖二等奖，曾任顶级国际会议 ACL-IJCNLP 2015 程序委员会主席和ACL-IJCNLP 2021大会主席、AAAI、IJCAI和COLING等一流国际会议的领域主席、资深领域主席或程序委员会主席，原模式识别国家重点实验室副主任
研究领域：自然语言处理，机器翻译，文本数据挖掘，人机对话系统，语言认知计算
ZONG, Chengqing
Professor (Adjunct)
Ph.D., Institute of Computing Technology, Chinese Academy of Sciences
Experience: Member of the International Committee on Computational Linguistics (ICCL), President of the Asian Federation for Natural Language Processing (AFNLP), Associate Editor of ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Editorial Board Member of IEEE Intelligent Systems, the Outstanding Supervisor Prize of the Chinese Academy of Sciences, the honorary title of Outstanding Teacher awarded by the Beijing Municipal Government, the Second Prize of the State Preeminent Science and Technology Award of China, Programming Committee Co-chair of the ACL-IJCNLP 2015 conference, General Conference Chair of ACL-IJCNLP 2021, Senior Area Chair, Area Chair or Programming Committee Co-chair of AAAI, IJCAI, COLING, etc., Former Deputy Director of the National Laboratory of Pattern Recognition
Research Field: Natural Language Processing, Machine Translation, Text Data Mining, Human-Computer Dialogue System, Linguistic Cognitive Computing
Note：
师资信息更新于2022年8月并在持续更新。
Faculty info was updated on August 2022 and is continuously updated.