Ph.D. student openings:

(1) Cognitive cloud computing, convex optimization and graph analytics
(2) Artificial Intelligence technologies (e.g., AI chatbot, scientific machine learning)
Candidates are expected to be proficient in mathematics (e.g., linear algebra, discrete math like graph theory) and have good software programming experience. Please email at cheewtan @ with CV and transcripts.

Automated Information Theory Inequality Prover (Software-as-a-Service to Interactively Prove Theorems)

Software-as-a-Service Platform freely-available, and is now open-source (Github link in publication below).
AITIP: Automated Information Theoretic Inequalities Prover, IEEE Information Theory Society Newsletter, June 2020
Proving and Disproving Information Inequalities: Theory and Scalable Algorithms, IEEE Transactions on Information Theory, September 2020

Graph Analytics for MIT-Amazon Graph Challenge

Python and MapReduce source code for Parallel Counting of Triangles in Large Graphs: Pruning and Hierarchical Clustering Algorithms, MIT-Amazon Graph Challenge in IEEE High Performance Extreme Computing 2018 [ Github source archive ]

Economic Cost Virtualization Software for Scalable Computing

MapReduce/Hadoop source code for scalable-computing paradigm in ACM SIGCOMM 2015 and ACM SIGMETRICS 2016 [ Github source archive ]

Online Social Networks

Dataset for Quantifying Political Leaning from Tweets and Retweets, ICWSM [ Twitter dataset ]

Wireless Network Optimization

An overview survey is available in Wireless Network Optimization by Perron-Frobenius Theory.

Modeling Perron-Frobenius Eigenvalue by CVX Optimization Software:
[ Appendix A of Book ]
Max-min SINR Optimization in Wireless Network:
[ 2009 INFOCOM/ 2013 ToN Nonlinear Perron-Frobenius Theory Based Algorithm Matlab Code ]
Reliability Fairness Optimization under Stochastic Fading:
[ 2011 INFOCOM/ 2015 ToN Nonlinear Perron-Frobenius Theory Based Algorithm Matlab Code ]
Sum Rate Maximization in Wireless Network:
[ 2011 JSAC Outer Approximation Global Optimization Algorithm Matlab Code ]
[ 2013 JSAC Convex Relaxation and Global Optimization Algorithm Matlab Code ]