[email protected] +92-51-884-0600
Mr. Faheem Nawaz Khan

Mr. Faheem Nawaz Khan

Senior Lecturer
Department of Computer Science

Profile summary

Mr. Faheem is a highly organized computer technology professional with strong analytical and critical-thinking skills, committed to pursuing a research career in Artificial Intelligence, Machine Learning, Deep Learning, and Information Retrieval. His work focuses on solving the persistent issue of broken links on the web by leveraging features such as URLs, anchor text, and surrounding text, and improving retrieval performance through term-proximity analysis and classification-based term selection. In addition to this thesis work, his research contributions span machine learning applications, anomaly detection, and intelligent information-retrieval systems, reflecting his ability to apply AI techniques to real-world computational problems. He remains dedicated to advancing intelligent systems and developing efficient, practical solutions within the broader fields of machine learning and information retrieval.

Qualification

Degree Field Institution Year
Master’s Computer Science Capital University of Science and Technology 2015
Bachelor’s Information Technology National University of Sciences and Technology 2009

Teaching experience

Position Institution Duration
Senior Lecturer Shifa Tameer-e-Millat University, Islamabad Since 2024
Lecture Muslim Youth University, Japan Road, Islamabad 2023-2024
Lecturer University of Sialkot, Sialkot (Former University of Gujrat Sialkot Sub-Campus), Sialkot 2017-2023
Lecturer The University of Lahore, Islamabad 2011-2013
Visiting Lecturer AIOU, Islamabad, Comsats Islamabad, SZABIST, Islamabad 2022-2024

Professional experience

Position Organization Duration
Java Developer CITI Lab, Rawalpindi 2012-2013
Research Assistant National University of Sciences and Technology, Islamabad, Pakistan 2009-2012

Management experience

Position Institution Duration
Deputy Director MIS, Muslim Youth University, Islamabad 2023-2024

Honors & awards

No. Award
1. Won 3 Ignite fundings for Final Year Projects
2. Microsoft Office Certified (office word 2013) Verify.certiport.com wXVxP-4SHm

Research areas / interests

No. Research Area / Interest
1. Artificial Intelligence
2. Machine Learning
3. Deep Learning
4. Information Retrieval

Research supervision

No. Level Title
1. MS Thesis An Adaptive Model for DiffGrad Optimizer to Improve the Performance and Efficiency of DNN Optimizer
2. MS Thesis Investigating the Temporal Behavior of News Document in Identification of Fake News
3. MS Thesis Computer Aided Depression Detection using Deep Learning Techniques
4. MS Thesis Non-Factoid QA Generation Based Using Transfer Learning

Journal and conference publications

No. Title
1. Rehman, F. U., Aslam, W., Aslam, F., Nazara, S., Khan, F. N., & Naseem, A. (2024). An efficient anomaly detection system for e-commerce pricing using machine learning techniques. Journal of Xi’an Shiyou University, Natural Science Edition, ISSN: 1673-064X.
2. Khan, F. N., Ali, A., Hussain, I., Sarwar, N., & Rafique, H. (2019). Repairing broken links using naive Bayes classifier. In Intelligent Technologies and Applications: First international Conference, INTAP 2018, Bahawalpur, Pakistan, October 23-25, 2018, Revised Selected Papers 1 (pp. 461-472). Springer Singapore.
3. Sarwar, N., Khan, F. N., Ali, A., Rafique, H., Hussain, I., & Irshad, A. (2019). Microchip with advance human monitoring technique and RFTS. In Intelligent Technologies and Applications: First International Conference, INTAP 2018, Bahawalpur, Pakistan, October 23-25, 2018, Revised Selected Papers 1 (pp. 560-570). Springer Singapore.
4. Ali, A., Sarwar, N., Rafique, H., Hussain, I., & Khan, F. N. (2019). Connection time for routing decisions in vehicular delay tolerant network. In Intelligent Technologies and Applications: First International Conference, INTAP 2018, Bahawalpur, Pakistan, October 23-25, 2018, Revised Selected Papers 1 (pp. 679-690). Springer Singapore.