Dr. Shakir Khan is Ph.D. in Computer Science presently working as associate professor in college of computer and information sciences (CCIS), Imam Mohammad Ibn Saud Islamic University (IMSIU), and Riyadh, Saudi Arabia. He has 15+ years of rich national and international teaching, research and IT experience, including five years in King Saud University for research, training and teaching, Riyadh, Saudi Arabia. He is member of ABET & NCAAA quality team at the college level and chairperson at the department level in IMSIU and member in many other committees like curriculum development for bachelor and master program in IM department . He has sound research knowledge along with supervision of more than a dozen master scholars in different fields of Computer Science. He has published more than 70 publications in reputed journals, conferences, 47 of them are SCI-indexed, and latest publication can be checked on Google Scholar. He has also published two books and three patents. He contributed in many International Journals and Conferences as Editor, Member of the Advisory board, Reviewer, Program Committee Member, and Keynote Speaker. His research interest includes Machine Learning, Data Mining, Data Science, AI, Cloud Computing, IoT, Big Data & Analytics, Bioinformatics, E-learning. He has been acknowledged by Imam University and received research excellence award in 2019 and received as leader for a programming team in Prince Sultan University, Riyadh as the team was third winner out of 40 national teams from different Saudi universities. He has been awarded three-research grant from Deanship of Scientific Research, Imam University and one from ministry of education, Saudi Arabia. One grant is awarded as PI for International Research Partnership Program with one of the computer science professor in Aligarh Muslim University (AMU), India. Dr. Khan is delivering these projects timely and he is also doing collaborative research with the University of Electronic Science and Technology China (UESTC), and other professors globally.