Explainable AI Engineering Applications
Contents
Chair
Dr. Kelly Cohen
Department of Aerospace Engineering & Engineering Mechanics, University of Cincinnati, Cincinnati, OH, USA.
Dr. Kelly Cohen, the Brian H. Rowe Endowed Chair in aerospace engineering, has been a faculty member since 2007 in the Department of Aerospace Engineering and Engineering Mechanics at UC's College of Engineering and Applied Science. His career is marked by achievement in the field of aerospace engineering and education, including the SOCHE (Strategic Ohio Council for Higher Education) Excellence Award, UC George Barbour Award for Good Faculty-Student Relations, UC Faculty Core Values Award, UC Dolly Cohen Award for Excellence in Teaching, the American Institute of Aeronautics and Astronautics Outstanding Technical Contribution Application Award, the CEAS Distinguished Researcher Award and the Greater Cincinnati Consortium of Colleges and Universities Excellence in Teaching Award, among many others. Dr. Kelly Cohen's main expertise lies in the area of Artificial Intelligence (AI), Intelligent Systems, UAVs, and Optimization.
Introduction
Relatd Articles:
Active manipulation of a tethered drone using explainable AI
http://dx.doi.org/10.20517/ces.2023.33
Fuzzy inference system-assisted human-aware navigation framework based on enhanced potential field
http://dx.doi.org/10.20517/ces.2023.34
Reinforcement learning with Takagi-Sugeno-Kang fuzzy systems
http://dx.doi.org/10.20517/ces.2023.11
Formal verification of Fuzzy-based XAI for Strategic Combat Game
http://dx.doi.org/10.20517/ces.2022.54
Interpretable AI for bio-medical applications
http://dx.doi.org/10.20517/ces.2022.41
