Academic Profile : Faculty
Asst Prof Abdulkadir C. Yucel
Assistant Professor, School of Electrical & Electronic Engineering
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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.
Between 2013 and 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 (EEE), Nanyang Technological University (NTU), Singapore.
Dr. Yucel received the Fulbright Fellowship in 2006, the Electrical Engineering and Computer Science Departmental Fellowship of the University of Michigan in 2007, the Student Paper Competition Honorable Mention Award at IEEE AP-S in 2009, IEEE Transactions on Power Electronics Prize Paper Award in 2024, and NTU EEE Early Career Teaching Excellence Award in 2024. 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.
Between 2013 and 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 (EEE), Nanyang Technological University (NTU), Singapore.
Dr. Yucel received the Fulbright Fellowship in 2006, the Electrical Engineering and Computer Science Departmental Fellowship of the University of Michigan in 2007, the Student Paper Competition Honorable Mention Award at IEEE AP-S in 2009, IEEE Transactions on Power Electronics Prize Paper Award in 2024, and NTU EEE Early Career Teaching Excellence Award in 2024. 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.
(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
- Nanoantenna Light-Emitting Devices
- Urban Outdoor, Indoor-Outdoor RF Coverage Prediction Using ML/DL Techniques
- LEXUS Sub Project D - Advanced Through-the-Wall Sensing and Imaging
- FASIM3: Fast Simulation of Microwave MetaMaterials
- Tree-Root Anchorage and Non-Destructive Tests for Trees in Constrained Urban Planting Spaces (NTU-CEE: Leong Eng Choon)
- Tree-Root Anchorage and Non-Destructive Tests for Trees in Constrained Urban Planting Spaces (SUSS: Cheng Zhuoyuan)
- Tree-Root Anchorage and Non-Destructive Tests for Trees in Constrained Urban Planting Spaces
- Tree-Root Anchorage and Non-Destructive Tests for Trees in Constrained Urban Planting Spaces (NTU-EEE: Yucel C. Abdulkadir)
Courses Taught
EE3101 - Engineering Electromagnetics
IM1002 - Analog Electronics
EE5094 - Impact of Electromagnetic Radiation on Humans
IE4109 - Wireless System Design
IM1002 - Analog Electronics
EE5094 - Impact of Electromagnetic Radiation on Humans
IE4109 - Wireless System Design
Supervision of PhD Students
Xiaofan Jia (2024) - Deep Learning and Tucker Decomposition-Based Solvers for Low-Frequency Electromagnetic 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
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