Prof. Ahmed Al Durra
Prof. ahmed al-durra Professor Associate Provost for Research Electrical Engineering

Contact Information
ahmed.aldurra@ku.ac.ae 02 312 3434

Biography

Prof. Ahmed Al-Durra received his BSc, MSc, and PhD in ECE from Ohio State University in 2005, 2007, and 2010, respectively (with Summa Cum laude in all three degrees). He joined the Electrical Engineering Department at the Petroleum Institute (PI), UAE, as an Assistant Professor in 2010; he was promoted to Associate Professor in 2015. Since 2020, he is a Professor at the Electrical Engineering & Computer Science Department, Khalifa University, UAE. His research interests are applications of control and estimation theory on power systems stability, micro and smart grids, renewable energy systems and integration, and process control. He is now the Associate Provost for Research in Khalifa University.

Dr. Al-Durra has accomplished and has been working on several research projects at international and national levels (exceeding 25M USD). He is the head of the Energy Systems, Control & Optimization Lab at ADRIC and the Industry Engagement Theme lead for the Advanced Power & Energy Center. He has one US patent, one edited book, 12 book chapters, and over 280 scientific articles in top-tier journals and refereed international conference proceedings. He has supervised/co-supervised over 30 PhD/Master students. He is an Editor for IEEE Transactions on Sustainable Energy and IEEE Power Engineering Letters, and Associate Editor for IEEE Transactions on Industry Applications, IET Renewable Power Generation, and IET Generation Transmission & Distribution. In 2014, he obtained the PI Research & Scholarship Award for Junior Faculty, and he was elevated to the grade of IEEE Senior Member. He was awarded the UAE Pioneers Award – UAE Scientists (2018), and he is the winner of the prestigious Khalifa Award for Education - Distinguished University Professor in Scientific Research (2018-2019). He was awarded the Faculty Research Excellence Award-Khalifa University, 2020.


Education
  • Ph.D., Electrical & Computer Engineering, Ohio State University, USA, August 2010.
  • M. Sc., Electrical & Computer Engineering, Ohio State University, USA, June 2007.
  • B. Sc. (With Distinction and Summa Comma Laude), Electrical & Computer Engineering (Control Systems and Power), Ohio State University, USA, December 2005.

Teaching
  • Nonlinear Control Systems Advance Linear Systems Advanced Linear Algebra and Its Applications Modern Control Systems Feedback Control Systems Signals and Systems

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Affiliated Centers, Groups & Labs

Research
Research Interests
  • Application of Control Theory on Power system analysis, dynamics, and control
  • Renewable energy systems & Integration
  • Micro-Grids and Smart-Grids
  • Electric Vehicles Energy Management and Integration with the Grid
  • Energy Storage Systems

Research Projects

"Virtual Research Institute (VRI) for Sustainable Energy Production, Storage and Utilization”, Funded by ASPIRE, Abu Dhabi, UAE

"Virtual Synchronous Control for Weak Grid Integration Enhancement of Renewable Energy Sources" Funded by Competitive Internal Research Award (CIRA) Funds - KU

"Wide Area Control and Monitoring for Low-Inertia Power Systems" Funded by King Abdel-Azzis/Khalifa University (KAU-KU) Joint Research Funds


Research Staff and Graduate Students:

Staff
Dr. Nirmal Mukundan Post Doctoral Fellow
Amr Hemida Post Doctoral Fellow
Abdul Latif Research Associate
Basil Hamad Research Associate
Saikrishna Kanukollu Research Engineer
Students
Shraf Eldin Sati Abdelgader PhD Student
Muntathir Altalaq PhD Student
Additional Info

https://www.linkedin.com/in/ahmed-al-durra-47b3126b/

 

https://www.researchgate.net/profile/Ahmed-Al-Durra

Vacancies

One Postdoctoral position is available starting from January 1st 2023 (3 years project). 

 

Required Education:  PhD in Electrical Engineering

 

Required Skills: 

Strong knowledge in power systems operation, dynamics, and control.
Experience in microgrids system analysis, modeling, simulation, and control.
Strong knowledge in optimization algorithms and/or control strategies.
Strong knowledge renewable energy integration.