Adnan Amin, Ph.D. – My Profile

ADNAN AMIN, Ph.D.

School of Computer Science and Information Technology

Institute of Management Sciences, Peshawar.

Email: adnan.amin@imsciences.edu.pk

Bio

Adnan Amin’s academic and research journey in computer science has been a deeply fulfilling pursuit of knowledge and innovation. He earned M.Sc. in Computer Science from the University of Peshawar in 2008. Later, he completed an MS in Computer Science (specialization Databases/Data Mining) with the highest first-class honors and distinction, followed by a Ph.D. with Scholastic Honors in “Artificial Intelligence: Machine Learning” from the School of Computer Science and Information Technology at the Institute of Management Sciences (IMSciences), Peshawar, Pakistan, in 2015 and 2023, respectively. With over a decade of experience in teaching and industry, he has become a dedicated professional committed to developing and commercializing digital and research-based solutions across various industries.

In November 2015, he joined IMSciences as a faculty member at the School of Computer Science and Information Technology. He leads IM|DigiSol and is 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, 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 and machine learning research innovations for a variety of industries, some of the following: (i) Customer churn prediction, (ii) continual deep learning approach, (iii) health informatics, (iv) analyzing complex social networking and link prediction, and (v) DDoS attack detection . He has gained invaluable insights and approaches that have enriched his research endeavors. He has been actively engaged in various academic conferences and workshops in different capacities, such as track chair, session chair, workshop chair, technical program committee member, and reviewer.

His career as a machine learning practitioner has been characterized by research projects and publications that demonstrate his commitment to advancing knowledge. He has also earned a cumulative impact factor score of about 170+ and authored more than 42 publications, comprising Web of Science verified journal articles, conference papers (IEEE, Springer, Elsevier), and book chapters (Springer). So far, his articles have already received around 1470+ citations, including an h-index score of 17 and an i-index score of 19, This shows the recognition and significance of my research work. He specializes in conducting research in the fields of artificial intelligence and its applications, machine learning, data mining, deep learning, and adaptive and Continual learning.

Current Roles