Faculty Profile

Mr Faheem Akhtar Rajput

Associate Professor

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Contact Member

E-mail : fahim.akhtar@iba-suk.edu.pk
Office Extension : 4280

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Biography

Dr. Faheem Akhtar Rajput received his Ph.D. in Software Engineering (Data Science, Machine Learning, and Deep Learning) from Beijing University of Technology, Beijing, China in 2020. In addition, he completed his MS in Computer Science from National University, FAST, Karachi, Pakistan, and his Bachelors from Hamdard University Karachi. He has previously been part of the Computer Science faculty at WebXZone (Team Lead & Trainer), National University FAST, Muhammad Ali Jinnah University, and Bahria University Karachi. He is working at IBA University since 2013. Presently, he is working as an Associate Professor (BPS-20) and Coordinator of ABET/NCEAC Accreditation at the Computer Science Department. He has vast experience in teaching (around 14 years) and research. He has been part of various bodies and councils throughout his academic and professional career. He won various awards during his Ph.D. from BJUT that includes, Special Contribution Award in curricular and extracurricular activities at BJUT from the Beijing Government in 2019, the Outstanding Researcher Award (Ph.D.) from the Ministry of Education and Chinese Scholarship Council of China in 2019, Outstanding Graduate Award (Ph.D.) from Beijing University of Technology China, Won Certificate of Appreciation from Embassy of Pakistan in Beijing (Ph.D.) in 2019 in regard of my outstanding academics and research performance, and etc. He is the author of above 50+ publications. His research findings are published in tier-I impact factor journals. These journals are categorized in the "W Category" by Higher Education Commission, Pakistan. He also chaired two international conferences and is an active reviewer of various SCI/SCIE journals. His area of research is Machine Learning, Feature Engineering, Data Science, text classification, Image Classification, Digital Image Processing, Natural Language Processing, Deep Learning, Computer Networks, Network Security, and online Social networking.

Qualifications