School of Mechanical & Manufacturing Engineering
Faculty Muhammad Saqib Nazir

Muhammad Saqib Nazir

Assistant Professor
Summary

Dr. Saqib Nazir is an Assistant Professor and MS/PhD Coordinator at the Department of Robotics and Artificial Intelligence, School of Mechanical and Manufacturing Engineering (SMME), National University of Sciences and Technology (NUST), Islamabad, Pakistan. His research interests include artificial intelligence, control systems, safety, cybersecurity, energy, sustainability, hybrid electric vehicles, transportation, smart grid energy management, and electrical engineering. Proficiency in PLCs, SCADA systems, HMIs, sensors, and actuators defines his technical arsenal, positioning him as a dedicated contributor to the evolving field. He is the only Pakistani who was funded by United States Department of Homeland Security to participate in CERT Industrial Control System Cybersecurity Training at the Idaho National Lab (USA). He is also a member of Japan Science and Technology Agency (JST). JST invites young talented people from other countries and regions to Japan through Sakura Science Exchange Program in a collaboration of industry-academia-government, to introduce and offer experience in Japanese science and technology. Feel free to contact him for more information.

Academic Background
PhD (Artificial Intelligence) NUST, Islamabad May 16, 2017 - December 30, 2023
Honours and Awards
Publications
Nonlinear barrier function-based adaptive terminal sliding mode based control for energy management of fuel cell, battery, and ultracapacitor based plug-in hybrid electric vehicle February 01, 2026 Energy - Volume:344, Article Number 139720
Enhancing ROS 2 (robot operating system 2) security with standardized post-quantum cryptosystems September 29, 2025 International Journal of Information Security - Volume 24, Article Number 219
Regulation of depth of hypnosis through optimized AI-based robust nonlinear controller June 01, 2025 Biomedical Signal Processing and Control - Volume 104, Article Number 107489
Artificial neural network-based nonlinear control and modeling of a DC microgrid incorporating regenerative FC/HPEV and energy storage system June 01, 2024 Renewable Energy Focus - Volume 49, Article Number 100565
Optimized nonlinear controller for fuel cell, supercapacitor, battery, hybrid photoelectrochemical and photovoltaic cells based hybrid electric vehicles November 15, 2023 Energy - Volume 283, Article Number 129121
Fuzzy optimized conditioned-barrier nonlinear control of electric vehicle for grid to vehicle & vehicle to grid applications August 01, 2023 Journal of Energy Storage - Volume:64, Article Number 107251
Robust nonlinear control of regenerative fuel cell, supercapacitor, battery and wind based direct current microgrid August 01, 2023 Journal of Energy Storage - Volume 64, Article Number 107158
Hierarchical control of hybrid direct current microgrid with variable structure based sliding mode control and fuzzy energy management system September 01, 2022 Journal of the Franklin Institute - Volume 359, Issue 13, Pages 6856-6892
Control of Transformerless Inverter-Based Two-Stage Grid-Connected Photovoltaic System Using Adaptive-PI and Adaptive Sliding Mode Controllers April 29, 2021 Energies - Volume 14(9), Article Number 2546
Adaptive Control of Fuel Cell and Supercapacitor Based Hybrid Electric Vehicles October 26, 2020 Energies - Volume 13(21), Article Number 5587
Conferences
System identification of a closed loop mechanical system using physics inspired neural network April 23, 2025 - April 25, 2025 Muhammad Yousuf Eisa, Muhammad Saqib Nazir, Hassan Moin, Shahbaz Khan, Syed Irtiza Ali Shah, Zartasha Mustansar, 2025 International Conference on Emerging Technologies in Electronics, Computing, and Communication (ICETECC)
Back-stepping based Pressure Controller for Managed Pressure Drilling January 14, 2020 - January 18, 2020 Muhammad Saqib Nazir, Iftikhar Ahmad, Muhammad Noaman Zahid, 2020 17th International Bhurban Conference on Applied Sciences and Technology (IBCAST)