Dr. Ali Sayyad
About
Dr. Ali Sayyad is an Assistant Professor of Mathematics at Rochester Institute of Technology Dubai. He received a Ph.D. in the area of control system design theory, from City University, London, UK.
Prior to joining Rochester Institute of Technology of Dubai in September 2017, Dr. Sayyad served for three years as the program Manager for the Foundation program in Engineering at City, University of London, UK. Under his management, the foundation programe achieved a 97% success rate, one of the highest rates in the years of offering this course and so he received “The excellent contribution in learning” award.
Apart from his educational background, Dr. Sayyad holds more than Six years of experience in industrial field, working as an electrical and/or Control engineer.
Since 2013, he has also been a member of STEM organization, working with young people from all backgrounds in order for them to have the aspiration, knowledge and skills to thrive, with more progressing into STEM-related careers.
- Ph.D. in Control System Design Theory
- Master of Science in Systems and Control Engineering
- Applied Mathematics
- Machine Learning and Artificial Intelligence
- Control system analysis and design including mathematical modelling and optimization techniques in both linear and nonlinear cases for different physical systems
- Robust control applications
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A. Sayyad and J. Maki, “Measurement of angles between subspaces in direct sum decomposition”, International Journal of Automation & Digital Transformation, 1: 2, Nov. 2022.
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S. Emara, A. Ismail and A. Sayyad, “Mathematical Model of a Photovoltaic Grid Connected Two-Area Power System”, , International Research Journal of Engineering and Technology, V. 05, Issue 2, Feb. 2018.
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S. Emara, A. Ismail and A. Sayyad, “Advanced Optimal Controller Technique for a PV Grid Connected Two-Area Power System”, International Research Journal of Engineering and Technology, V. 05, Issue 2, Feb. 2018.
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A. Sayyad, Report on “Measurement of angles between subspaces in direct sum decomposition”, Control engineering department, City, University of London, Uk, June. 2016.