Academic Profile : Faculty

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Asst Prof Abdulkadir C. Yucel
Assistant Professor, School of Electrical & Electronic Engineering
External Links
 
Abdulkadir C. Yucel received the B.S. degree in electronics engineering (Summa Cum Laude) from Gebze Institute of Technology, Kocaeli, Turkiye, in 2005, and the M.S. and Ph.D. degrees in electrical engineering from the University of Michigan, Ann Arbor, USA, in 2008 and 2013, respectively.

From August 2006 to April 2013, he was a Graduate Student Research Assistant at the University of Michigan. Between May 2013 and December 2017, he worked as a Postdoctoral Research Fellow in various institutes including Massachusetts Institute of Technology. Since 2018, he has been working as an Assistant Professor at the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore.

Dr. Yucel received the Fulbright Fellowship in 2006, Electrical Engineering and Computer Science Departmental Fellowship of University of Michigan in 2007, and Student Paper Competition Honorable Mention Award at IEEE International Symposium on Antennas and Propagation Symposium in 2009. He has been serving as an Associate Editor for IEEE Journal on Multiscale and Multiphysics Computational Techniques, IEEE Antennas and Propagation Magazine, and International Journal of Numerical Modelling: Electronic Networks, Devices and Fields and as a reviewer for a variety of technical journals.
(i) Deep learning, surrogate modelling, and optimization techniques for electromagnetics analysis and Radar
(ii) Fast electromagnetic simulators with applications to the VLSI/microwave/terahertz circuits, biomedical, photonics, wireless channel characterization, and analysis of highly inhomogeneous media.
 
  • A Deep Learning Augmented Ultra-Wideband Radar for Rapid Detection and Imaging of Tree Defects
  • LEXUS Sub Project D - Advanced Through-the-Wall Sensing and Imaging
  • Nanoantenna Light-Emitting Devices
  • Tucker‐Accelerated Integral Equation Simulators for Large Scale Electromagnetic Analysis
Courses Taught
EE3001 - Engineering Electromagnetics
IM1002 - Analog Electronics
EE5094 - Impact of Electromagnetic Radiation on Humans
 
Supervision of PhD Students
Xiaofan Jia (2023) - Deep Learning and Tensor Decomposition-based Fast Simulators for Electrostatic and Magneto-Quasi-Static Analyses

Dai Qiqi (2023) - The Deep Learning Techniques Applied to Electromagnetic Imaging via Ground Penetrating Radar

Mingyu Wang (2022) - Fast Parameter Extraction of Voxelized Interconnects and Circuits