Muhammad Fawad Akbar Khan graduated magna cum laude with a master's degree in computer systems engineering. His research interests are Machine Learning, Computer Vision, Data Mining Applications in Remote Sensing, Healthcare, and Sustainable Development. He has worked extensively on the application of Machine Learning algorithms in Social Sciences, Mining, Remote Sensing, Condition Monitoring and Prognosis, Hydropower, and Environment Monitoring. He is currently a research associate at the National Centre of Artificial Intelligence - University of Engineering and Technology Peshawar and working on AI application in Geological Mapping. He has been/is part of numerous funded projects. Some of the important ones are: (1) AI application in mineral resource estimation and mine planning: AI-based Remote Sensing for Geological Mapping (2) Development of Predictive Maintenance Algorithms for Aircrafts (3) Data Analytics for Developing a Socio-Energy System Model for Distributed Sustainable Energy Development (4) Feasibility Analysis for Risk Management of Micro Hydro Power Projects using Machine Learning Techniques (5) TUN Data Challenge 2018: Tableau Analytics of Bike MS Datasets