Dr. Syed Umaid Ali
Designation(s): Assistant Professor (EE)
Department(s): Electrical Engineering, AI Systems Engineering Research Center
Research Interests: Control of Micro-grids, Artificial Intelligence (AI) based Model Predictive Control (MPC), Hybrid micro-grid
Email: sumaid.buic@bahria.edu.pk
Contact: +92 (051) 111 111 028
Umaid Ali is affiliated with Bahria University Islamabad as an Assistant Professor Electrical Engineering and Wing Head, Systems Engineering, Centre of Excellence in AI (CoE-AI). I received a B.Eng. in electronics from the National University of Science and Technology (NUST), Islamabad, Pakistan, and a Master’s degree from International Islamic University Islamabad, Pakistan. I worked in Interactive Group for six years. I am also currently working towards a Ph.D. degree from the Department of Electrical Engineering, Bahria School of Engineering & Applied Sciences Islamabad Campus (BSEAS-IC), Pakistan. My research interests include control of Micro-grids, Artificial Intelligence based Model Predictive Controllers and Product Development. I am a Researcher with an Electrical Engineering background who has gained extensive experience in integrating engineering products with the latest industry trends. During my Ph.D., I bring forth profound knowledge, extensive experience, and technical abilities. My research lies in designing AI based control strategies for parallel operating power electronics converters, especially based on advanced electrical power systems for renewable energy sources. I am always enthusiastic about maintaining close contact with the control of power converters and have an aptitude for innovation, creative problem-solving, collaboration, and analytical thinking. Having a thirst for knowledge, a journey full of challenges, and the power of persistence, I believe that this is just the beginning of my research vision.
Courses
First of its kind, A new course “Introduction to Systems Engineering” have been approved by ACM. Course with hands-on software will be offered across engineering sciences discipline. Its detailed outline is attached at “Download Course Outline“.
Software used will be ReqView https://www.reqview.com/.
Student Supervision
- Muhammad Sharjeel Ali, Techno-Economic Analysis of Hybrid Renewable Energy Based Electricity Supply to Gwadar, Pakistan, Bahria University, Islamabad, (In Progress).
- Amjad Khalil Abid, Techno-economic feasibility of installing PV-based electric vehicle charging stations in public parking lots for Pakistan, Bahria University, Islamabad, (In Progress).
- Sohail Aziz, Model Predictive Control of Bidirectional AC-DC Converter for Energy Storage System (Co-Supervised), Bahria University, Islamabad, (In Progress).
Publications
[j03]
Ali, S. U., Aamir, M., Jafri, A. R., Subramaniam, U., Haroon, F., Waqar, A., & Yaseen, M. (2021). Model predictive control—Based distributed control algorithm for bidirectional interlinking converter in hybrid microgrids. International Transactions on Electrical Energy Systems, 31(10), e12817
[j02]
Khan, H. S., Aamir, M., Ali, M., Waqar, A., Ali, S. U., & Imtiaz, J. (2019). Finite control set model predictive control for parallel connected online ups system under unbalanced and nonlinear loads. Energies, 12(4), 581.
[j01]
Ali, S. U., Khan, R., & Masood, A. (2017). Analysis of wind energy potential and optimum wind blade design for Jamshoro wind corridor. Mehran University Research Journal of Engineering & Technology, 36(4), 781-788.
[c05]
Ali, S. U., Waqar, A., Elavarasan, R. M., Pugazhendhi, R., Rahman, M. M., Islam, M. R., & Aamir, M. (2021, September). Model Predictive Control for three phase rectifier with grid connected and standalone mode of operation. In 2021 31st Australasian Universities Power Engineering Conference (AUPEC) (pp. 1-7). IEEE.
[c04]
Ahmad, H., Gillani, S. M. T., Omer, T., Hassan, T., Aslam, S., & Ali, S. U. (2020, February). Futuristic Short Range Optical Communication: A Survey. In 2020 International Conference on Information Science and Communication Technology (ICISCT) (pp. 1-4). IEEE.
[c03]
Khan, S., Ahmed, E., Javed, M. H., Shah, S. A., & Ali, S. U. (2019, July). Transfer Learning of a Neural Network Using Deep Learning to Perform Face Recognition. In 2019 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) (pp. 1-5). IEEE.
[c02]
Waqar, A., Nawaz, M. S., Aamir, M., Alam, I., Ali, S. U., & Ahmad, J. (2019, July). Multi-objective analysis of DER sizing in microgrids using probabilistic modeling. In 2019 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) (pp. 1-6). IEEE.
