Dr. Abebaw Tadesse

Dr. Abebaw Tadesse is an associate professor of mathematics, Department of Mathematics, Langston University. His research interests are in both pure (Composition/ Koopman Operators on functions spaces) and applied mathematics (Biomedical Computing, Machine Learning/Deep Learning as applied to Cybersecurity and Power System domains). Dr. Tadesse received his PhD. in mathematics from the University of Pittsburgh, 2006. He has recently completed a visiting faculty fellowship at Argonne National Lab, summer 2022, on the synergy between machine learning and physics-based methods to Power system Online Dynamic Security Assessment via Koopman Operator Theory. He has worked at the Navy Research Laboratory as an ONR summer research fellow for 2016-2021 and 2023, on the applications of Generative Adversarial Network and Koopman Operator Theory on Cybersecurity and NLP domains. Prior to that, He worked, as a visiting faculty at the Department of Medical Physics, Indiana University in the summer of 2014, on the applications of Ensemble-Based Simulated Annealing Algorithm to the Intensity Modulated Radiation Therapy Planning domain. Dr. Tadesse has served as a Senior Personnel on several NSF-funded grants, and he is currently serving as a CO-PI to two NSF-funded grants.