Rate My Professor Mubbashar Altaf Khan

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.