Prof. John C.S. Lui
John C.S. Lui is currently the Choh-Ming Li Chair Professor in the Department of Computer Science & Engineering (CSE) at The Chinese University of Hong Kong (CUHK). He received his Ph.D. in Computer Science from UCLA. After his graduation, he joined the IBM Laboratory and participated in research and development projects on file systems and parallel I/O architectures. He later joined the CSE Department at CUHK. He has been a visiting professor in computer science departments at UCLA, Columbia University, University of Maryland at College Park, Purdue University, University of Massachusetts at Amherst and Universit degli Studi di Torino in Italy. Currently, he is leading a group of students and post-docs in the Advanced Networking and System Research Laboratory (ANSRLab), working on research problems like applying machine learning algorithms and mathematical analysis to network science, system security, and algorithmic design of large scale networking/computing systems. His current research interests are in machine learning on network sciences which have large data implications, large scale data analytics, network/system security (e.g., cloud security, mobile security, ...etc), network economics, cloud computing, large scale distributed systems and performance evaluation theory. John is an active consultant to industry, believing that it is an effective way to do technology transfer and a wonderful way to learn about real and relevant research problems. John is currrently the senior editor in the IEEE/ACM Transactions on Networking, and has been serving in the editorial board of ACM Transactions on Modeling and Performance Evaluation of Computing Systems , IEEE Transactions on Network Science & Engineering, IEEE Transactions on Mobile Computing, IEEE Transactions on Computers, IEEE Transactions on Parallel and Distributed Systems, Journal of Performance Evaluation, Journal of Network Science and International Journal of Network Security. He is a member of the review panel in the IEEE Koji Kobayashi Computers and Communications Award committee, and has served at the IEEE Fellow Review Committees. John has also been a reviewer and panel member for NSF, Canadian Research Council and the National Natural Science Foundation of China (NSFC). John served as the chairman of the CSE Department from 2005-2011 (and lessons learned), as well as the Associate Dean of Research in the College of Engineering at CUHK (2014-2018). He received various departmental teaching awards and the CUHK Vice-Chancellor's Exemplary Teaching Award. John also received the CUHK Faculty of Engineering Research Excellence Award (2011-2012). John is a co-recipient of the best paper award in the IFIP WG 7.3 Performance 2005, IEEE/IFIP NOMS 2006, SIMPLEX 2013, and ACM RecSys 2017. He is an elected member of the IFIP WG 7.3, Fellow of ACM, Fellow of IEEE, Senior Research Fellow of the Croucher Foundation and was the past chair of the ACM SIGMETRICS (2011-2015). His personal interests include films and general reading.
Reliable Multimedia Streaming Server (RMSS)
(Server & Client Software Package for multimedia-on-demand system.)
Reliable Multimedia Streaming Server PLUS (RMSS+)
(Server & Client Software Package for Performing Dynamic Multicasting of Multimedia Contents.)
Secure Multimedia Library (SML)
(Library based on Asymmetric Parametric Sequence Method for Implementing Secure Multimedia Streaming Proxy.)
Secure Group Communication Library (SEAL)
(C language API which provides necessary software components for developers to write secure dynamic group-oriented applications without any centralized key server.)
OPERA: an open-source extensible router architecture
(A Linux-based package for implementing a software programmable router architecture with the aim to facilitate networking experiments for the research community. Using this architecture, one can dynamically load new extension and services into the programmable router. Some interesting extensions include QoS support and traceback of DDoS attacks.)
DroidAnalytics: A Signature Based Analytic System to Collect,
Extract, Analyze and Associate Android Malware
(TrustCom, 2013) A signature based analytic system for Android Devices. The system can automatically collect, manage, analyze and extract android malware. DroidAnalytics facilitates analysts to retrieve, associate and reveal malicious logics at the opcode level. Released in May 2013.
ADAM: An An Automatic and Extensible Platform
to Stress Test Android Anti-Virus Systems
(DIMVA 2012) Implementation of assessing the robustness of Android Anti-Virus Systems by generating various types of malware variants. Released in April 2012.