Engr. Khurram Khan is an experienced Electrical Engineer with two master’s degrees in electrical engineering from COMSATS and UET Taxila, Pakistan. With over Thirteen years of teaching and research experience, he has held various positions in renowned universities, such as NUST, FUUAST, and NUML in Pakistan. During his tenure as a lecturer, he successfully taught a wide range of courses, specializing in Electrical Engineering, computer programming, and applied mathematics. With a focus on hands-on education, he has supervised undergraduate final-year projects related to ASIC design, embedded systems, and IoT. During his academic pursuits, Engr. Khan conducted research on developing new AI algorithms, including a novel nonparametric split-merge clustering algorithm during his Master’s. He also worked on FPGA-based designing and implementing control techniques for MPPT Charge Controllers during his Bachelor’s. Engr. Khan has collaborated in research, and co-authored research articles in the field of machine learning, Numerical and device modeling. To further enhance his skills, Engr. Khan has pursued professional certificates in machine learning and AI Engineering from IBM. He has also completed his professional certificate in Mathematics for Machine Learning from Imperial College London. Currently, Engr. Khan’s research interests revolve around machine learning, pattern recognition, ASIC and SoC, and the Internet of Things.