
Prof. Hatem
Zeineldin
Khalifa University, UAE
Title: TBA
Abstract: TBA
Biodata: Dr. Hatem Zeineldin received his Bachelor's and Master's degree in Electrical Power and Machines from Cairo University in 1999 and 2002, respectively. He obtained his PhD degree in 2006 from the Electrical and Computer Engineering Department at University of Waterloo. In 2006, he joined Smith and Andersen Electrical Inc. as an electrical engineer where he was involved in several projects related to distributed generation. During that period, Dr. Zeineldin was also hired as a research consultant for a research project that was funded by Natural Resources Canada that focused on protection planning with renewable energy sources. In 2007, Dr. Zeineldin worked as a visiting professor at Massachusetts Institute of Technology (MIT) where he focused on developing new methods for islanding detection of renewable energy sources. In 2007, Dr. Zeineldin joined Masdar Institute and served as the Head of the Department of Electrical Engineering and Computer Science. Dr. Zeineldin is currently a Professor and chair of the Department of Electrical Engineering at Khalifa University. His main research interests include distribution system protection, islanding detection, micro-grids and smart grid design.
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Prof.
Hazlie Mokhlis
Universiti Malaya, Malaysia
Title: The Role of Optimization for Sustainable Power System Planning and Operation
Abstract: Research in power system optimization has evolved from focusing primarily on conventional tasks such as unit commitment, load flow, and economic dispatch to addressing more complex challenges. These challenges include adapting to the integration of renewable energy, electric vehicles, and smart grids into power systems. Additionally, the increasing frequency of extreme and unpredictable weather events necessitates optimization to enhance the resilience of power system networks. Some research efforts have explored nature-inspired optimization techniques such as Genetic Algorithms, Particle Swarm Optimization, and Evolutionary Programming to achieve optimal planning and operation of power systems. The primary aim of this talk is to discuss the application of these nature-inspired optimization methods in contemporary power system research. The current challenges facing power systems, particularly those related to renewable energy integration and extreme weather events, will be examined. Potential research areas addressing these challenges through nature-inspired optimization techniques will be highlighted. Finally, examples of research projects utilizing these methods will be presented to illustrate their practical applications.
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Biodata:
Hazlie Mokhlis
obtained the
Bachelor of
Engineering degree
and Master of
Engineering Science
in Electrical
Engineering from
University of Malaya
in 1999 and 2003
respectively. In
2009, he received
his PhD degree from
the University of
Manchester.
Currently he is
Professor in the
Department of
Electrical
Engineering,
University of
Malaya. He is active
researcher that has
published more than
300 publications in
Power and Energy
Systems and
supervised to
completion 40 PhD,
and more than 60
Master students. His
outstanding research
had been recognized
in top 2% scientists
by Stanford
University in 2020
to 2024. He was
awarded Top Research
Scientist Malaysia
by Academic Science
Malaysia in 2021 and
appointed as Fellow
of Academic Science
Malaysia in 2024.
Besides research, he
is active in the
development of few
Malaysian Standard
related to power
systems. His
research interests
focus on improving
distribution system
performance and
resiliency against
extreme weather.
Prof Hazlie is a
Chartered Engineer
United Kingdom,
Professional
Engineer with the
Board of Engineers
Malaysia, Fellow
IET, and Senior
member of IEEE. He
was Chapter chair
for IEEE PES
Malaysia session
2020-2022.