Summary
Mohammad Khan is an assistant professor and ML/DL researcher with 11 years of engineering experience spanning academia, industry research labs, and power utility IT operations. He holds a PhD in Computer Science from Korea University and has worked as a research scientist at KAIST and a research engineer developing AI-driven clinical and cosmeceutical platforms in South Korea. At DPDC he led applied ML projects—such as automated meter-reading extraction and feeder automation—bridging research models with production engineering in a 1.5M-customer utility. His research focuses on time series analytics and medical image analysis, producing multiple peer-reviewed publications and practical models for clinical trials. Comfortable switching between teaching, mentoring students, and deploying real-world systems, he combines rigorous academic training with hands-on product development. An often-overlooked strength is his track record of aligning IT strategy and operational technology in large organizations to accelerate adoption of ML solutions.
11 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, 4.38/4.5, Doctor of Philosophy (Ph.D.), Computer Science, 4.38/4.5 at Korea University
Bachelor of Science (B.Sc.), Computer Science and Engineering (CSE), Bachelor of Science (B.Sc.), Computer Science and Engineering (CSE) at International Islamic University Chittagong
Master’s Degree, Computer Science and Engineering (CSE), Master’s Degree, Computer Science and Engineering (CSE) at Bangladesh University of Engineering and Technology
English, Bengali, Korean