Maxwell Omwenga
Assistant Professor of Computer Science
Room 252, Koch Center for Engineering and Science
812-488-2691
mo138@evansville.edu
Dr. Maxwell Omwenga is the Program Director of the Department of Computer Science and Engineering at the University of Evansville (UE). Before joining UE, he worked as a Data Science Researcher with the Networked Intelligence Laboratory at the University of Tennessee at Chattanooga. His areas of expertise include machine learning, cyber-physical systems, and edge computing. He is an award winner of the Technology Symposium 2019 and a member of Sigma Xi. He is particularly interested in using methods of modeling, simulation, optimization, and machine learning to solve real-world complex sequential decision problems. Dr. Maxwell has published research papers in a variety of prestigious journal and conferences, such as, IEEE Internet of Things Journal, IEEE International Conference on Communications, ISSAT International Conference on Data Science & Intelligent, African Conference for Software Engineering and Applied Computing, IEEE International Conference on Industrial Internet, IEEE International Conference on Information Reuse and Integration and EAI International Conference on Mobile Multimedia.
Education
- Doctor of Philosophy (PhD) in Computer Science, The University of Tennessee at Chattanooga, 2021
- Master of Science (MS) in Data Communication and Software Engineering, Makerere University, Uganda, 2012
- Bachelor of Science (BSC) in Computer Science, Makerere University, Uganda, 2006
- Professional Membership:
- Institute of Electrical and Electronics Engineers (IEEE)
- Sigma Xi
- HarvardX
- Google Map Maker
Publications
- M. M. Omwenga, D. Wu, Y. Liang, D. Huston, and T. Xia, “ScanCloud: Holistic GPR Data Analysis for Adaptive Subsurface Object Detection,” IEEE International Conference on Information Reuse and Integration for Data Science, June 2021.
- M. M. Omwenga, D. Wu, Y. Liang, L. Yang, D. Huston, and T. Xia, “Cognitive GPR for Subsurface Object Detection Based on Deep Reinforcement Learning,” IEEE IoT Journal, January 2021.
- M. M. Omwenga, D. Wu, Y. Liang, L. Yang, D. Huston, and T. Xia, “Autonomous Cognitive GPR Based on Edge Computing and Reinforcement Learning,” IEEE ICII, November 2019.
- W. Rice, M. M. Omwenga, Dalei Wu, Yu Liang, “Enhanced Underground Object Detection with Conditional Adversarial Networks,” ISSAT, August 2019.
- D. Wu, M. M. Omwenga, Y. Liang, L. Yang, D. Huston, and T. Xia, “Edge Computing Cognitive Portable Ground Penetrating Radar” MobiMedia, June 2019.
- D. Wu, M. M. Omwenga, Y. Liang, L. Yang, D. Huston, and T. Xia, “A Fog Computing Framework for Cognitive Portable Ground Penetrating Radars,” IEEE ICC, May 2019.
- M. M. Omwenga, J. Sansa, and A. Lumala, “Robust Mobile Cloud Services Through Offline Support,” IEEE ACSEAC, September 2012.
