Mentors
Dr. Kecheng Yang
Kecheng Yang is an Assistant Professor in the Department of Computer Science at Texas State University. He received his Ph.D. and M.S. degrees in Computer Science from the University of North Carolina at Chapel Hill in 2018 and 2015, respectively, both with Prof. James H. Anderson. Before that, he received his B.E. degree in Computer Science and Technology from Hunan University in 2013. His research interests include real-time and cyber-physical systems, scheduling theory and resource allocation algorithms, and heterogeneous multiprocessor platforms. His work has been published in a variety of top-tier conferences and journals, such as RTSS, DAC, ICCAD, TPDS, TCAD, and has won two Outstanding Paper Awards.
Dr. Anne H.H. Ngu
Anne H.H. Ngu is currently a Full Professor and Ph.D. Program Director with the Department of Computer Science at Texas State University. From 1992-2000, she worked as a Senior Lecturer in the School of Computer Science and Engineering, University of New South Wales, Australia. She had held research scientist positions with Telcordia Technologies; Microelectronics and Computer Technology (MCC); University of California, Berkeley; Commonwealth Scientific and Industrial Research Organization (CSIRO), Australia and the Tilburg University, The Netherlands. She was a summer faculty scholar at Lawrence Livermore National Laboratory from 2003-2006. Dr. Ngu has published over 120 technical papers in journals and refereed conferences in computer science. Dr. Ngu’s main research interests are in data analytics and management, smart health, scientific workflows, and service computing. She was a winner of the 2013 NCWIT Undergraduate Research Mentoring Award and the Presidential Distinction Award for Services, Texas State University in 2017 and 2014.
Dr. Xiao Chen
Xiao Chen is an Associate Professor of Computer Science at Texas State University. Her research interests include various topics in delay tolerant networks, sensor networks, and ad hoc wireless networks. She has been actively working on protocol design in mobile social networks using data science approaches, leading to publications in top-tier journals and conferences including IEEE Transactions on Wireless Communications, IEEE Transactions on Emerging Topics in Computing, Journal of Parallel and Distributed Computing, SIAM Journal on Computing, IEEE (ICC, Globecom, HPC, NAS, ICCCN, WiMob), etc. She has been awarded the NSF/IEEE-TCPP Curriculum Initiative on Parallel and Distributed Computing Early Adopteraward for Fall 2015. She served as an associate editor, program committee member, session chair, and reviewer of numerous international journals and conferences.
Dr. Tanzima Islam
Tanzima Islam is an assistant professor in the Department of Computer Science at Texas State University. Dr. Islam earned her Ph.D. in Computer Engineering from Purdue University and was a postdoctoral scholar at Lawrence Livermore National Laboratory (LLNL). Her research develops software tools and data-driven analysis techniques to automatically identify performance problems of scientific applications running on the High-Performance Computing (HPC) systems and mitigate them. The impact of her research on improving application performance has been recognized nationally and internationally through awards such as the R&D 100 award, Science and Technology award from LLNL, and the College of Science and Engineering’s Excellence in Scholarly Activities at TxState. Dr. Islam’s research has been funded by national labs and the industry such as DOE, LLNL, AMD. She is also a DOE SRP fellow. Additionally, she is the co-founder of the first research and mentoring platform in Bangladesh–BWCSE (https://bwcse.wordpress.com)–that provides research and career development training to female students in Computer Science and Engineering.
Dr. Vangelis Metsis
Vangelis Metsis is an Associate Professor at the Department of Computer Science at Texas State University. He joined the department in August 2014. Dr. Metsis received his Bachelor of Science degree in Computer Science in 2005 from the Department of Informatics of Athens University of Economics and Business in Greece, and his Doctoral degree in 2011 from the Department of Computer Science and Engineering of The University of Texas at Arlington. During 2006-2007, Dr. Metsis worked as a Research Associate at the National Center for Scientific Research (NCSR) “Demokritos” in Greece, contributing to the project MedIEQ, funded by the European Commission. Dr. Metsis has received research funding from several federal grants and private companies. His research interests span the areas of Machine Learning and Computer Vision, focusing on applications of Smart Health and Wellbeing, Assisted Living, and Virtual Reality.