[email protected] +92-51-884-0600
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Mr. Khurram Shahzad

Senior Lecturer
Department of Computer Science

PROFILE SUMMARY

Mr. Khurram Shahzad is a dedicated academic and researcher with over a decade of experience in higher education, specializing in Computer Science, Artificial Intelligence, and Computer Networks. He holds an MS in Computer Science (Artificial Intelligence) from The University of Lahore and an MS in Telecommunications and Networking from Bahria University, Islamabad, and is currently pursuing a Ph.D. in Unmanned Aerial Vehicles (UAVs) at Iqra University, Islamabad, focusing on UAV communication systems, intelligent placement strategies, and optimization-based networking solutions. At Shifa Tameer-e-Millat University (STMU), he teaches undergraduate and postgraduate courses in AI, data science, and networking while supervising student research and contributing to curriculum development. He has authored several research publications in reputable journals and conferences as well as a book chapter.

EDUCATIONAL QUALIFICATIONS

DegreeDiscipline / SpecialtyInstitutionYear
Ph.D.Unmanned Aerial Vehicles (UAVs)Iqra University, Islamabad, Pakistan2024 – Continue
M.S. (CS)Artificial IntelligenceThe University of Lahore, Islamabad, Pakistan2021
MS (T&N)Computer NetworksBahria University, Islamabad, Pakistan2012

TEACHING EXPERIENCE

Designation / PositionInstitution / OrganizationDuration
Senior LecturerShifa Tameer-e-Millat University, Islamabad2024 – Present
Assistant ProfessorIbadat International University, Islamabad2021 – 2024
Assistant ProfessorThe University of Lahore, Islamabad2019 – 2021
LecturerThe University of Lahore, Islamabad2016 – 2019
LecturerPunjab Group of Colleges2015 – 2016

HONORS & AWARDS

  • Gold Medalist: Master of Science in Computer Science (MSCS).

RESEARCH AREAS & INTERESTS

  • Unmanned Aerial Vehicles (UAVs) & UAV-Enabled Networks
  • Artificial Intelligence & Machine Learning
  • Data Science
  • Internet of Things (IoT) & Wireless Communications

JOURNAL & CONFERENCE PUBLICATIONS

  1. Shahzad, K., & Khan, I. U. (2021). Comparative Analysis of IPv4 & IPv6 Intended for Learning Object Repository to Setup an E-Learning Environment. Sir Syed University Research Journal of Engineering & Technology, 11(01).
  2. Ahmed, G., Mehmood, D., Shahzad, K., & Malick, R. A. S. (2021). An efficient routing