Adnan Amin

Adnan Amin earned his M.Sc. in Computer Science from the University of Peshawar in 2008. He received his MS-CS degree (highest 1st class honors with distinction) and a Ph.D. degree (with Scholastic Honours) in data mining and machine learning from the Institute of Management Sciences (IMSciences) Peshawar, Pakistan, in 2015 and 2023, respectively.

In November 2015, he joined IMSciences as a lecturer at the Center for Excellence in Information Technology. He is the lead of IM|DigiSol and the faculty adviser for the Computing and Innovation Society (IMCIS) at IMSciences. Before, he worked as an international consultant for curriculum and academic development at the School of ICT, NIMA Kabul, which was connected to the University of Jyvaskyla in Finland. This was part of a World Bank-funded project for Maxwell Stamp PLC, London (Project Code: P102573).

Dr. Adnan’s research and innovation interests are industry-driven and cross-disciplinary. He focuses on developing and commercializing digital solutions and data mining/machine learning research innovations for a variety of industries, such as education, telecommunications, and healthcare. He has completed nearly 8 research projects in collaboration with international universities. He has served as the track chair of the WorldCist’21 workshop (LCBUDAMLT), the session chair of the ICITA’22, and a member of the program committees of numerous conferences including WorldCist, SDIWC, and DATA’23. He has (co) authored 29+ publications, including 16 journal articles, 11 conferences, and 2 book chapters in Springer, and obtained nearly 1000 citations with an h-index score of 14 and an i-index score of 16.

Highly accomplished and driven researcher with a strong background in Computer Science, specializing in data mining and machine learning. Possessing an M.Sc. Degree & MS in Computer Science with distinction (Gold medal), and a Ph.D. degree with Scholastic Honors, I have consistently demonstrated a commitment to academic excellence and industry-driven research. With a proven track record of developing and commercializing digital solutions for diverse sectors, including education, telecommunications, and healthcare, I am driven by a passion for applying cutting-edge technology to real-world challenges.

Ph.D. in Computer Science (CGPA 3.75/4.0 with Scholastic Honors)             Mar 2023

Specialization: Data mining & Machine Learning

Thesis Title: An adaptive learning approach for customer churn prediction using naïve Bayes.

Center for Excellence in IT, Institute of Management Sciences, Peshawar, Pakistan.