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Dr. Raja Habib

Dr. Raja Habib

Assistant Professor
Department of Artificial Intelligence

Profile Summary

Profile summary

Dr. Raja Habib is an accomplished data scientist, researcher, and educator, holding a PhD in Data Mining from the Capital University of Science and Technology (CUST), Islamabad. With more than 7 years of professional industry experience across national and international software houses and telecom organizations, and over 6 years of university-level teaching experience, he brings a strong blend of practical expertise and academic depth to his role as Assistant Professor at Shifa Tameer-e-Millat University, Islamabad. Dr. Habib has authored multiple research publications in high-impact, peer-reviewed journals, contributing to the advancement of knowledge in data science and machine learning. His research interests include machine learning, data mining, recommender systems, and intelligent data-driven solutions, with a focus on developing innovative methods to extract meaningful insights from complex datasets. His unique combination of industry experience, active research engagement, and dedication to teaching allows him to effectively bridge the gap between theory and real-world application. Dr. Habib is committed to mentoring and inspiring future data scientists, empowering students with both foundational understanding and hands-on expertise in modern analytical techniques.

Qualification

Degree Field Institution Year
PhD Computer Science Capital University of Science and Technology, Islamabad 2018
MS Software Engineering Muhammad Ali Jinnah University, Islamabad 2011
BS Computer Science Comsats Institute of Information Technology, Islamabad 2005

Teaching Experience

Position Institution Duration
Assistant Professor Shifa Tameer-e-Millat University, Islamabad March 2023 – Present
Assistant Professor Ibadat International University, Islamabad October 2021 – March 2023
Assistant Professor University of Lahore, Islamabad Campus April 2019 – October 2021

Professional Experience

Position Organization Duration
Senior Software Engineer Techtronix Corp. 2006 – 2010
SEO Expert Netsolace Inc. 2010-2011
Executive Churn & Loyalty Ufone 2012-2014

Management Experience

Position Institution Duration
Head of Program (BSCS) Shifa Tameer-e-Millat University, Islamabad March 2023 – June 2025
Head of Department Software Engineering, Ibadat International University, Islamabad October 2021 – March 2023
Head of Department Software Engineering, University of Lahore, Islamabad Campus April 2019 – October 2021

Membership of Professional Bodies

Role Organization/Committee
Convener NCEAC Committee, CS & IT
University of Lahore, Islamabad Campus
Member Board of Faculty, Faculty of Information Technology
University of Lahore
Member Board of Studies, CS & IT
University of Lahore, Islamabad Campus
Member Departmental Board of Studies, CS & IT
University of Lahore, Islamabad Campus

Honors & Awards

No. Award
1. Successful Accreditation for the BS (Computer Science) and BS (Software Engineering) Degree Programs of University of Lahore, Islamabad Campus (2020, 2021 and 2022)
2. Fully funded scholarship for PhD studies from Higher Education Commission, Pakistan
3. IGNITE funding for various FYPs as a supervisor

Research Areas / Interests

No. Research Area / Interest
1. Machine Learning
2. Data Science
3. Scientometrics
4. IOT

Journal Publications

No. Title
1. Naseem, A., Habib, R., Naz, T., Atif, M., Arif, M., & Allaoua Chelloug, S. (2022). Novel Internet of Things Based Approach Towards Diabetes Prediction Using Deep Learning Models. Frontiers in Public Health, 2848.
2. Habib, R., & Afzal, M. T. (2017). Paper recommendation using citation proximity in bibliographic coupling. Turkish Journal of Electrical Engineering & Computer Sciences, 25(4), 2708-2718.
3. Habib, R., & Afzal, M. T. (2019). Sections-based bibliographic coupling for research paper recommendation. Scientometrics, 1-14.
4. Zaffar, M., Hashmani, M. A., Habib, R., Quraishi, K. S., Irfan, M., Alqhtani, S., & Hamdi, M. (2021). A hybrid feature selection framework for predicting students performance. Computers, Materials and Continua, 70(1), 1893-1920.
5. Saeed, A., Habib, R., Zaffar, M., Quraishi, K. S., Altaf, O., Irfan, M., … & Almushayti, Z. (2021). Analyzing the Features Affecting the Performance of Teachers during Covid-19: A Multilevel Feature Selection. Electronics, 10(14), 1673.