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KAUST Associate Professor Hakan Bagci recently received Senior Membership of the International Union of Radio Science as recognition of his achievements in computational electromagnetics. File photo.
-By David Murphy, KAUST News
Hakan Bagci, KAUST associate professor of electrical engineering, was recently elevated to Senior Membership of the International Union of Radio Science (URSI) for his research achievements in the field of computational electromagnetics and his longstanding involvement in URSI. He has served on several conference technical program committees and editorial boards of journals for the organization.
URSI is a non-governmental and non-profit organization under the International Council for Science that "stimulates and coordinates...studies, research, applications, scientific exchange and communication in the fields of radio science" internationally, according to URSI's website.
"I am deeply honored to receive this recognition from URSI," Bagci stated. "Most of the credit goes to the past and present members of my research group at KAUST."
Bagci received his bachelor's degree in electrical and electronics engineering from Bilkent University, Turkey, in 2001, and completed his master's and Ph.D. degrees in electrical and computer engineering at the University of Illinois at Urbana-Champaign (UIUC), U.S., in 2003 and 2007, respectively.
From 2001 to 2006, he worked as a research assistant with the UIUC Center for Computational Electromagnetics and Electromagnetics Laboratory, and from 2007 to 2009, he was a postdoctoral research fellow at the University of Michigan's Radiation Laboratory.
Bagci arrived at KAUST in August 2009 as an assistant professor of electrical engineering. He was then promoted to the rank of associate professor in the same program six years later.
Hakan Bagci completed his master's and Ph.D. degrees in electrical and computer engineering before joining the University's electrical engineering program as a faculty member. Image courtesy of Shutterstock.
"At the time I joined KAUST, it had the best state-of-the-art facilities and [it] still does," he noted. "Also, the availability of funding to tackle interesting research problems was an important factor in my decision to [come to] KAUST. Over the years, this risk-taking attitude has helped me to distinguish myself from other successful researchers in my field."
"I was also attracted to KAUST because of its research center/degree program structure that allows for easy interactions between researchers that work in completely different fields," Bagci continued. "Ten years ago, when I first started at KAUST, it was the only institution that offered such a collaborative research environment.
"Ten years later, it may not be the only one, but it is one of the few global institutions that has provided a very fruitful interdisciplinary collaborative base for its researchers."
Bagci and his group at KAUST research the interdisciplinary field of computational electromagnetics (CEM). CEM fuses elements of electrical engineering, physics and applied mathematics and computational sciences to enable accurate, efficient and robust numerical modeling and characterization of real-life electromagnetic, optical and photonic systems.
"From this perspective, CEM complements—and more importantly enables—other branches of electromagnetics, optics and photonics that often rely on experimentation," he explained.
"Numerical design and characterization of real-life electromagnetic, optical and photonic systems [are]...challenging task[s] because computation domains are huge; the frequency of operation has a large dynamic range; devices are geometrically intricate with dimensions varying by orders of magnitude; and design frameworks require many repetitions of simulations with different parameters," Bagci noted.
Associate Professor Hakan Bagci was motivated to join the University because of its state-of-the-art facilities in the Supercomputing Core Lab. File photo.
Bagci is excited to explore two main future research directions—the use of numerical modeling tools in data science and the development of multiphysics simulation techniques.
"Machine learning techniques often rely on the generation of big data sets. One way of doing this is through taking real measurements," he said. "However, for many applications, this might be costly or even impossible due to the long duration of time the measurements require. In such cases, simulation tools can be used to replace experiments. We are looking into ways of doing this in the field of electromagnetics."
"Engineering problems often involve more than one simultaneously happening physical phenomenon," Bagci continued. "For example, an electrical engineer who wants to design a chip has to know about electromagnetics, semiconductor physics, optoelectronics and even thermal analysis. Formulating and implementing efficient and accurate numerical schemes capable of modeling/simulating strongly coupled multiphysics phenomena is not trivial. My group at KAUST is looking into developing such techniques."