Our Technical Consultants

Dr. NASIMULLAH

Dr. Nasimullah is a seasoned R&D consultant specializing in a diverse range of areas within the realm of electrical engineering. With a robust background in academia and industry, Dr. Nasimullah brings a wealth of knowledge and experience to every project he undertakes.

Experience

Dr. Nasimullah has collaborated with leading organizations across industries, delivering innovative solutions and driving technological advancements. His multidisciplinary approach, coupled with a passion for problem-solving, has earned him recognition as a trusted advisor in the field of electrical engineering.

Areas of Expertise

Power Electronics Design: Dr. Nasimullah excels in designing efficient and reliable power electronic systems tailored to specific application requirements. His expertise spans from low-power embedded systems to high-power industrial applications.
Simulation Techniques: Leveraging advanced simulation tools, Dr. Nasimullah employs cutting-edge techniques to model and analyze complex systems accurately. His proficiency in simulation ensures thorough understanding and optimization of system performance before physical implementation.
Hardware-in-the-Loop (HIL) Simulations: Dr. Nasimullah specializes in HIL simulations, offering comprehensive testing and validation capabilities for embedded systems. By integrating real-time hardware with simulated environments, he facilitates efficient development and testing of control algorithms and hardware components.
Processor-in-the-Loop (PIL) Simulations: With expertise in PIL simulations, Dr. Nasimullah enables rapid prototyping and evaluation of embedded software and firmware. His proficiency in interfacing processors with simulation environments accelerates the development cycle while ensuring system reliability.
Control System Implementation: Dr. Nasimullah’s proficiency in control system implementation spans across various domains, including automotive, renewable energy, and industrial automation. He adeptly designs and implements robust control algorithms to achieve desired system behavior and performance.
High Power, High Frequency Systems: Dr. Nasimullah specializes in high-power, high-frequency systems, addressing challenges related to power conversion, electromagnetic interference (EMI), and thermal management. His expertise ensures the design and optimization of systems operating in demanding environments.

Education

Ph.D. in Mechatronics Engineering, Beihang University, China, 2013
M.Sc. in Nuclear Power Engineering
B.Sc. in Electrical Engineering, UET Peshawar, 2003

Contact

For inquiries or collaborations, please reach out to Dr. Nasimullah via email at Cengr2009@gmail.com.

Dr. Laiq Khan

Dr. Laiq Khan is an accomplished technical consultant with extensive expertise in power system dynamics, control systems, and renewable energy technologies. With a distinguished career spanning academia, industry, and research, he brings a deep understanding of advanced engineering solutions to address complex challenges in electrical and computer engineering.

Experience

Laiq Khan has worked with prestigious institutions and industry leaders globally, delivering innovative solutions in power system stability, smart grid technologies, and renewable energy integration. As the Head of the Electrical Power & Control Systems (EPCS) Research Lab at COMSATS University Islamabad, he leads multidisciplinary research to develop intelligent control algorithms for FACTS, HVDC systems, and hybrid power systems. His collaborations with organizations like the National Power Control Center (NPCC) and National Transmission & Dispatch Company (NTDC) in Pakistan have provided practical solutions to real-world power system challenges. With over 100 publications in high-impact journals and conferences, Laiq is recognized as a leading expert in his field.

Areas of Expertise

Power System Dynamics & Control: Laiq specializes in designing robust damping control strategies for power systems, enhancing stability under severe disturbances using intelligent and adaptive techniques.
Renewable Energy Systems: His work focuses on wind energy conversion systems (WECS), photovoltaic (PV) systems, and hybrid power systems, addressing synchronization, maximum power point tracking (MPPT), and grid stability.
Smart Grids & Microgrids: Laiq excels in developing control algorithms for AC/DC microgrids, including distributed cooperative control and cyber-physical system security against FDI attacks.
Advanced Control Techniques: He is proficient in intelligent control methods such as fuzzy logic, neural networks, NeuroFuzzy systems, and deep learning, applied to power systems and electric vehicles.
High Voltage DC (HVDC) & FACTS: Laiq designs adaptive control paradigms for HVDC and Flexible AC Transmission Systems (FACTS), optimizing performance in large-scale power networks.
Machine Learning Applications: His expertise extends to applying machine learning and deep learning for load forecasting, theft detection, and fault diagnosis in smart grids and renewable energy systems.

Experience

Currently a Professor of Power System Dynamics and Control at COMSATS University Islamabad, Laiq has held numerous leadership roles, including Chairperson/Associate Dean and acting Dean of the Faculty of Engineering. His prior roles include professorships at Islamic University in Madinah, Saudi Arabia, and earlier positions at Ghulam Ishaq Khan Institute and Siemens Pakistan. His industrial experience as a Field Engineer involved hands-on projects like the installation and commissioning of power systems for cement plants and oil terminals.

Education

Ph.D. in Electrical Engineering (Power System Dynamics and Control), University of Strathclyde, Glasgow, United Kingdom, 2003
B.Sc. (Hons) in Electrical (Power) Engineering, University of Engineering & Technology Peshawar, Pakistan, 1996

Contact

For inquiries or collaborations, please reach out to Laiq Khan via email at laiq@cuiatk.edu.pk..

Monday	9am > 5pm
Tuesday	9am > 5pm
Wendsday	9am > 5pm
Thursday	9am > 5pm
Friday	9am > 5pm
Saturday	9am > 5pm
Sunday	Closed