Saddam Khan

Lecturer
  • Department of Electrical Engineering
  • saddam.khan@nu.edu.pk
  • (041) 111-128-128

Introduction

An Electrical Engineer with an MS in Electrical Engineering from Ghulam Ishaq Khan Institute of Engineering Sciences and Technology (GIKI), with a strong academic background and research interests in modern AI/ML-based control systems, classical control systems, data-driven modeling and knowledge-guided neural networks. My research focuses on applying machine learning and deep learning techniques to engineering systems, particularly dynamic system modeling and gas turbine applications. I also possess experience in laboratory teaching, engineering project management and technical supervision.

Education

MS Electrical Engineering, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology (GIKI), Topi, Swabi, 2023-2025

BS Electrical Engineering, Balochistan University of Information Technology, Engineering and Management Sciences (BUITEMS), Quetta, 2018-2022

Publications

1. S. Khan, N. Ahmed, D.-E.-Z. Baig, and M. Mehdi, “From Data-Driven Models to Knowledge-Guided Neural Networks: A Comparative Study on Modeling of Micro Gas Turbine,” Proceedings of GCWOT’26, 2026.

2. H. Khan, Z. Ali, S. M. Zakria, W. Nazar, S. A. Bacha, and S. Khan, “Optimizing Kalman Filter Performance for Data Loss Using Gradient Descent Technique,” Proceedings of GCWOT’26, 2026.

Collaborations at National and International Level

Detail of Funded Projects