Kai Hwang is presently a Presidential Chair Professor in Computer Science and Engineering at the Chinese University of Hong Kong (CUHK), Shenzhen, China. He also serves as a Chief Scientist at the Cloud Computing Center, Chinese Academy of Sciences. He has taught at the University of Southern California and at Purdue University for 46 years prior joining CUHK. He received the Ph.D. in Electrical Engineering and Computer Science from UC Berkeley. Dr. Hwang has published extensively in the fields of computer architecture, parallel processing, cloud computing, and network security.


1. Recruitment Announcement

      Computer Science and Engineering Faculty Recruiting (English edition)


2. Dr. Hwang's updated CV (30pages)

3. Dr.Hwang's Recent Talk Abstract

     Talk Abstract and Biography

4. Dr.Hwang's Recent Talk Slides


5. Course Outline

      CSC4160 &CIE6033





Awards and honors
  • 2017
  • 2015
  • 2012
  • 2011
  • 2004
  • 2003
  • 1996
  • 1986
  • 01


    Dr.Hwang has received Distinguished Lecture Series on Information Science and Technology

  • 02


    Dr. Hwang was awarded the CCF 海外杰出贡献奖

  • 03


    Dr. Hwang was awarded the IEEE CloudCom Lifetime Achievement Award for his outstanding academic achievements in clouds and distributed computing.

  • 04


    Dr. Hwang has received several Awards from IEEE Computer Society, including the IEEE IPDPS Founder’s Award for his pioneering contributions to the field of parallel processing.

  • 05


    Dr. Hwang has received the very first Outstanding Achievement Award from China Computer Federation for his leadership roles in advanced research and higher education on high-performance computer systems and Internet technology.

  • 06


    Dr.Hwang has received 主题报告奖 at PDCS-2004

  • 07


    Dr.Hwang has received the Technical Contribution Award at PDCAT02

  • 08


    Dr.Hwang has received Outstanding Achievement Award at PDPTA90

  • 09


    Dr. Hwang was awarded the IEEE Fellow in 1986 for making significant contributions in computer architecture, digital arithmetic, and parallel processing. Currently, he is a Life Fellow of the IEEE Computer Society.


He has authored or coauthored 10 books, edited 3 books, and published over 250 scientific papers in refereed journals or international conferences. Most of his papers appeared in IEEE or ACM publications. Seven of his books Computer Architecture and Parallel Processing (1983), Advanced Computer Architecture (1993, 2003, 2011), Computer Arithmetic (1978), Scalable Parallel Computing (1998), and Distributed and Cloud Computing (2012) were adopted worldwide and translated into 4 foreign languages, Spanish, Chinese, Japanese, and Korean from the English editions. He has co-edited the Book Series of Annual Reviews in Scalable Computing (1999- present) and Parallel Processing for Supercomputers and Artificial Intelligence (1989). 


His book Distributed and Cloud Computing (648 pages), coauthored with Geoffrey Fox and Jack Dongarra, was published by Morgan Kauffman in 2012. This book covers distributed systems, computer clusters, virtualization, supercomputers, computing grids, P2P systems, Internet clouds, Internet of Things, and social networks. Visit the Web site:  ( for details.  A Chinese translation of this book appeared in January 2013. The American Library Association has named this book among the top 6 outstanding academic titles of 2012.


In 2017, Dr. Hwang has published two new books: Cloud Computing for Machine Learning and Cognitive Applications (The MIT Press, 601 pages) and Big Data Analytics for Cloud/IoT and Cognitive Computing (Wiley in UK, 410 pages). These two books consolidate his past 10 years of frontier research and updated teaching achievements at USC, THU, and CUHK-Shenzhen.  The Chinese edition of these two books are published by Huazhang Books, Beijing in 2018.




6 representative academic monographs


1.  Computer Architecture and Parallel Processing

2.   Advanced Computer Architecture: Parallelism, Scalability, Programmability

3.   Computer Arithmetic: Principles, Architecture and Design

4.   Scalable Parallel Computing: Technology, Architecture, Programming

5.   Distributed and Cloud Computing: From Parallel Processing to Internet of Things

6.   Big Data Analytics for Cloud, IoT and Cognitive Computing





9 highly cited academic papers in first-class journals


1. R. Zhou and K. Hwang, “PowerTrust: A Robust and Scalable Reputation System for Trusted Peer-to-Peer Computing”, IEEE Transactions on Parallel and Distributed Systems (TPDS), 18 (4), April, 2007, pp.460-473.

2. S. Song, K. Hwang, R Zhou, and Y.K. Kwok, “Trusted P2P Transactions with Fuzzy Reputation Aggregation”, IEEE Internet Computing, 9 (6),  2005, pp. 24-34.

3.  K. Hwang and D. Li, “ Trusted Cloud Computing with Secure Resources and Data Coloring”, IEEE Internet Computing, 14 (9), 2010, pp.14-22.

4. Y. Chen, K. Hwang, and W. S. Ku,  “Collaborative Detection of DDoS Attacks over Multiple Network Domains”, IEEE Trans. on Parallel and Distributed Systems, 18 (12), 2007, pp.1649-1662.

5. R. Zhou, K. Hwang, and M. Cai, “GossipTrust for Fast Reputation Aggregation in Peer-to-Peer Networks”,  IEEE Trans. Knowledge and Data Engineering, 20(9), 2008, pp.1282-1295

6. K. Hwang and J. Ghosh, “Hypernet: A Communication-Efficient Architecture for Constructing Massively Parallel Computers”, IEEE Trans. on Computers, 100 (12), 1987, pp. 491-496.

7.M. Chen, Y. Hao, K. Hwang, and L. Wang, “Disease Prediction by Machine Learning over Big Data from Healthcare Communities”, IEEE Access, May 2017.

8. K. Hwang, H.Jin and R. Ho Orthogonal Stripping and Mirroring in Distributed RAID for I/O Centric Cluster Computing, IEEE Trans. on Parallel and Distributed Systems, 13 (1), 2002, pp. 22-44.

9. K. Hwang, X. Bai, Y. Shi, M. Li, W.G. Chen, and Y. Wu, Cloud Performance Modeling with Benchmark Evaluation of Elastic Scaling Strategies,  IEEE Trans. on Parallel and Distributed Systems, 27(1), 2016

Google scholar citations: