Dr. Raja Habib

info@stmu.edu.pk +92-51-884-0606

ASSISTANT PROFESSOR

rajahabib.ssc@stmu.edu.pk

+92-3315383504

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
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
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
Senior Software Engineer	Techtronix Corp. Developed database & API driven web applications for internal and external use. Applications range from cost saving B2B applications to social networks utilizing PHP, XML, MySql, LAMP, etc.	2006 – 2010
SEO Expert	Netsolace Inc. Managed the On-page and Off-page SEO for Edible Arrangements and Dipped Fruit. Devising and implementing SEO strategies for large ecommerce websites with more than 10,000 products	2010-2011
Executive Churn & Loyalty	Ufone Reporting and Multi-Dimensional Analysis: Provide key insights and useful analysis based on following KPIs: Sales & Revenue Trends portrayed by Prepaid & Postpaid Subscribers, Subscriber Life Cycle, Customer Base Analysis (Active, Churn, Revival, Dormant),	2012-2014

MANAGEMENT EXPERIENCE
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
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
Member	Board of Faculty, Faculty of Information Technology University of Lahore

HONORS & AWARDS
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

Machine Learning
Data Science
Scientometrics
IOT

JOURNAL PUBLICATIONS
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.