Muhammad Usman Jamil

Assistant Professor

Department of Computer Science
usman.jamil@nu.edu.pk
(061) 111-128-128

Introduction

Dr. Muhammad Usman Jamil earned his doctoral degree in Engineering and Technology (International Program) from the Sirindhorn International Institute of Technology (SIIT) at Thammasat University, Thailand, in 2021. His studies were supported by the prestigious Excellent Foreign Student Scholarship awarded by SIIT, Thammasat University, Thailand. With over 13 years of experience, he has served as a Lecturer, Instructor, and Research Assistant at several international institutions. His academic tenure includes two years at Chuzhou University, China; two years and seven months at Assumption University, Thailand; seven years and nine months at SIIT, Thammasat University, Thailand; and nine months at The University of Faisalabad, Pakistan. In these roles, he has extensive experience in designing and teaching diverse courses and has also served as a course design coordinator. Furthermore, he has successfully managed and completed multiple research projects. His research expertise encompasses: Artificial Intelligence, Machine Learning & Deep Learning, Fault Diagnosis in Electric Motors, Robotics Control using AI, Switched Reluctance Motors, Machine Drive and Control, System Design and Control, System Identification, Nonlinear Dynamics Control, Backstepping Control, Neural Network and Fuzzy Control, Renewable Energy. He has a strong publication record, authoring several academic research papers, including journal articles and IEEE conference papers indexed in Scopus.

Education

PhD (Engineering and Technology), SIIT Thammasat University Thailand, 2021

MS (Electrical Engineering), COMSATS Abbottabad Campus, 2014

BS (Electronics Engineering), COMSATS Abbottabad Campus, 2011

Publications

Muhammad Usman Jamil, I. (2025). Design of an IoT-Based PLC System for High Accuracy Color Dropping in Souvenir Machines. In 2025 4th International Conference on Electronic Electrical Engineering and Automatic Control (EEEAC) (pp. 1–5).

Rashid, S., Abbas, T., Gulistan, M., Jamil, M., & Al-Shamiri, M. (2025). Decision analysis with known and unknown weights in the complex N-cubic fuzzy environment: An application of accident prediction models. AIMS Mathematics, 10(5), 10359–10386.

Ahmad, I., Waleed, M., Ullah, A., & Jamil, M. (2025). Enhancing Credit Card Fraud Detection with Hybrid Sampling and Machine Learning Models. In 2025 6th International Conference on Advancements in Computational Sciences (ICACS) (pp. 1–7).

Jamil, M., Zahid, M., Chen, Z., Ahmad, I., & Wongthai, P. (2024). Design and Implementation of a Digital Energy Monitoring System with Enhanced Data Tracking and Analysis Features for Electrical System. In 2024 IEEE 2nd International Conference on Power Science and Technology (ICPST) (pp. 1130–1135).

Jamil, M., Zahid, M., Chen, Z., Hu, S., Muhammad, A., Farhan, M., & Butt, M. (2024). Design and Implementation of Grid-Tied Photovoltaic Inverter with Net Metering Using IoT for Enhanced Power Distribution. In 2024 11th International Conference on Power and Energy Systems Engineering (CPESE) (pp. 230–235).

Ahmad, I., Sharif, A., Azmat, A., & Jamil, M. (2024). A Deep Learning Approach to Recognizing New Thai Currency Using Transfer Learning for Visually Impaired Individuals. In 2024 17th International Conference on Signal Processing and Communication System (ICSPCS) (pp. 1–7).

Buatoom, U., & Jamil, M. (2023). Improving classification performance with statistically weighted dimensions and dimensionality reduction. Applied Sciences, 13(3), 2005.

Ahmad, I., Srisuchinwong, B., & Usman Jamil, M. (2023). Coexistence of hidden attractors in the smooth cubic Chua’s circuit with two stable equilibria. International Journal of Bifurcation and Chaos, 33(04), 2330010.

Ahmad, I., Jamil, M., & Paracha, K. (2022). Artificial Intelligence-Based Approach for Prediction of Power Transformer Health Index. In 2022 International Conference on Power, Energy and Innovations (ICPEI) (pp. 1–4).

Jamil, M., Ahmad, I., & Buatoom, U. (2022). Robust Adaptive Backstepping Control Design for MIMO Electrically Driven Robot Manipulators Using RBF Neural Network With Disturbance. In 2022 26th International Computer Science and Engineering Conference (ICSEC) (pp. 26–32).

Jamil, M., Kongprawechnon, W., & Chayopitak, N. (2020). Active fault diagnosis of a switched reluctance motor using sliding mode observer and average torque estimator for light electric vehicle applications. International Transactions on Electrical Energy Systems, 30(11), e12602.

Boonkerd, P., Kongprawechnon, W., & Jamil, M. (2020). A smoothing photovoltaic power injection using double moving average with efficient battery energy storage system. In The 15th International Symposium on Artificial Intelligence and Natural Language Processing and International Conference on Artificial Intelligence & Internet of Things (pp. 234–238).

Jamil, M., Kongprawechnon, W., & Chayopitak, N. (2019). Eliminating starting hesitation for reliable operation of switched reluctance motor without machine parameters for light electric vehicle applications. IET Electric Power Applications, 13(7), 996–1003.

Jamil, M., Kongprawechnon, W., & Chayopitak, N. (2017). Average torque control of a switched reluctance motor drive for light electric vehicle applications. IFAC-PapersOnLine, 50(1), 11535–11540.

Jamil, M., Kongprawechnon, W., & Chayopitak, N. (2017). Indirect Torque Control and Estimation of a Variable Reluctance Motor Drive By Using Fourier Series for Light Electric Vehicle Applications. In The 2017 International Conference on Embedded Systems and Intelligent Technology A Theme on “Smart Embedded Systems for Industry 4.0 (pp. 37–40).

Jamil, M., Kongprawechnon, W., & Raza, M. (2016). Adaptive neural network based backstepping control design for MIMO nonlinear systems with actuator nonlinearities. Aircraft Engineering and Aerospace Technology: An International Journal, 88(1), 137–150.

Jamil, M., Noor, M., Raza, M., & Rizvi, S. (2014). Backstepping control using adaptive neural network for industrial two link robot manipulator. In 17th IEEE International Multi Topic Conference 2014 (pp. 389–394).

Collaborations at National and International Level

2024-2025 National Electronics and Computer Technology Center

Detail of Funded Projects

2014-2017 Excellent Foreign Student (EFS) Scholarship, Graduate Program (Ph.D.), SIIT Thammasat University, Thailand