Research Spotlights

Research Spotlights 

Shameek Bhattacharjee

Shameek Bhattacharjee is an assistant professor at the Department of Computer Science. He received his Ph.D., and M.S. degrees in computer engineering from University of Central Florida in 2015 and 2011, respectively, and a B. Tech degree in Information Technology from West Bengal University of Technology (Techno India College), India in 2009. His research interests span across broad areas of cyber and information security and networking, with a special focus on cyber physical systems/internet of things, smart connected communities, and next generation wireless networks and data driven security analytics.

Guan Yue Hong

Guan Yue Hong is an associate professor of computer science at Western Michigan University. She received her Ph.D. in software engineering from National University of Singapore. Her research interests include reliable and trustworthy AI, novel machine learning paradigms, and smart cyber-physical-human systems.  She received several grants and awards in support of her scholarly activities. She has published over 70 papers in leading international journals and conferences, e.g. IEEE Trans. Affective Computing, IEEE Trans. Consumer Electronics, and IEEE Trans. IT in Biomedicine. Her published papers have attracted over a thousand scientific citations.

Elise de Doncker

Elise de Doncker is a professor of computer science at WMU. She obtained her doctoral degree in mathematics at the Katholieke Universiteit Leuven (KUL), Belgium. Her research revolves around algorithm design and analysis, particularly in scientific computing and numerical integration, and targeted toward high performance computations and architectures. To date (7/24/20), the Quadpack integration package, developed when she was a student (with R. Piessens, D.K. Kahaner and C.W. Uberhuber) has 1,356,922 downloads from, and the Quadpack book was cited 1218 times according to Google Scholar. She also pioneered the ParInt package for multivariate integration (with A. Gupta, A. Genz and R. Zanny) for cluster and distributed integration. Perhaps in Renaissance style she later branched out to other fields including neural networks, agent-based simulations (of epidemics/pandemics), sentiment analysis, human behavior modeling, and bioinformatics.

Alvis Fong

Fong holds four degrees in CS and EE from three universities: Imperial College London, University of Oxford, and University of Auckland. His research activities revolve around next-generation artificial intelligence (NG-AI). Specific focus areas include data-driven and goal-informed knowledge discovery, ontological knowledge representation and reasoning, and applied machine learning. His publications and intellectual property contributions include two books, 13 book sections, 100 journal papers, 100 conference papers, and two international patents. Archival journals that carry his work include IEEE T-KDE, IEEE T-AC, IEEE T-II, IEEE T-EC, and several other IEEE Transactions titles. He has been an Associate Editor of IEEE T-CE since 2013. He has recently served as a guest editor of IEEE CE Magazine’s special section on Machine Learning for End Consumers, which will appear in 2020 (DOI 10.1109/MCE.2020.2986934). Dr. Fong is a Fellow of IET, European Engineer (Eur Ing), and Chartered Engineer (CEng).