PROFILE SUMMARY

Mr. Faheem Nawaz Khan is a highly organized computer technology professional with strong analytical and critical-thinking skills, committed to advancing research and instruction in Artificial Intelligence, Machine Learning, Deep Learning, and Information Retrieval. His research addresses the persistent challenge of broken links on the web by leveraging URL structures, anchor text, and contextual features, alongside enhancing retrieval performance through term-proximity analysis and classification-based term selection. His broader scholarly contributions span machine learning applications, anomaly detection, and intelligent information-retrieval systems, demonstrating his ability to apply AI techniques to practical computational challenges.

EDUCATIONAL QUALIFICATIONS

TEACHING EXPERIENCE

PROFESSIONAL EXPERIENCE

MANAGEMENT EXPERIENCE

HONORS, AWARDS & CERTIFICATIONS

• IGNITE Project Funding: Won 3 IGNITE fundings for supervising undergraduate Final Year Projects.
• Microsoft Office Certified: Office Word 2013 Certification (Verification ID: wXVxP-4SHm).

RESEARCH AREAS & INTERESTS

• Artificial Intelligence
• Machine Learning
• Deep Learning
• Information Retrieval

RESEARCH SUPERVISION (MS THESES)

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 & CONFERENCE PUBLICATIONS

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.
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, Revised Selected Papers (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, Revised Selected Papers (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, Revised Selected Papers (pp. 679–690). Springer Singapore.