Rate My Professor Mubbashar Altaf Khan

Mubbashar Altaf Khan is a Research Assistant Professor of Electronic Engineering Technology in the College of Engineering, Science, Technology, and Agriculture at Central State University, having joined the institution on April 4, 2023. He holds a Ph.D. in Engineering from the University of Toledo, completed in 2018. Prior to his current role, Khan served as a Postdoctoral Research Scholar in the Department of Electrical and Computer Engineering at North Carolina Agricultural and Technical State University starting in October 2018, where he worked at the Autonomous Control and Information Technology Institute, focusing on machine learning techniques using fuzzy logic for handling data uncertainties in autonomous systems testing. Earlier, from November 2008 to March 2012, he was an Assistant Professor in the Computer Systems Engineering Department at Mirpur University of Science and Technology in Pakistan.

Khan's research interests encompass cognitive radios, genetic algorithms, fuzzy logic, machine learning, operationalizing autonomy, human-robot collaboration, connected autonomous vehicles, and UAV-assisted bridge inspections. He serves as Co-Principal Investigator on NSF-funded initiatives including the Advancing Semiconductor Education through Expansion and Diversification (ASEED) project, the Partnership for Advancing Research Capacity in Semiconductors at Historically Black Colleges and Universities (PARCS-HBCU), and received an NSF Research Initiation Award in August 2024 for 'Operationalizing Autonomy: Induction of Autonomous Systems in Real-Life Applications,' targeting UAV technology for bridge health monitoring through July 2026. At Central State University, he contributes to the Intel Semiconductor Education Program (ISEP-CSU) by developing certificate programs in semiconductor processing, minors in computer hardware technology, and labs for microfabrication and simulation, while leading summer internship programs for underrepresented students. His scholarly contributions include publications such as 'A learning-based adjustable autonomy framework for human–robot collaboration' (IEEE Transactions on Industrial Informatics, 2022), 'Deep learning with attention mechanism for predicting driver intention at intersection' (IEEE Intelligent Vehicles Symposium, 2020), 'An effective model for human cognitive performance within a human-robot collaboration framework' (IEEE International Conference on Systems, Man and Cybernetics, 2019), and 'Spectrum optimization in cognitive radios using elitism in genetic algorithms' (International Conference on Emerging Technologies, 2010), with his work cited over 260 times. Khan has presented on 'Machine Learning-Driven Solutions for 1D Quantum Systems' at the HBCU CHIPS Network Conference in 2025.