Assistant Professor

Contact Information:

Address: School of Electrical and Electronic Engineering,
Nanyang Technological University

Phone: +65-6790-5403

Fax: +65-6793-3318

Email: acyucel@ntu.edu.sg

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I am an Assistant Professor and Principle Investigator of Applied and Computational ELectromagnetics (ACEL) Group

Recent News from ACEL group

  • 11/2024: Our tree radar was highlighted in NTU social media pages [linkedin] [ntu] [photos (1) (2) (3) ]
  • 11/2024: Prof Yucel received the 2023 IEEE Transactions on Power Electronics Prize Paper Award [link]
  • 09/2024: Xiaofan Jia successfully defended her PhD thesis.
  • 8/2024: Prof Yucel received the Early Career Teaching Excellence Award [link]
  • 6/2024: Our tree radar was highlighted in NTU EEE Linkedin page [link]
  • 10/2023: Kaixuan Cheng received the "Young Antenna Scientist Award" in 2023 Singapore Workshop on Antennas
  • 10/2023: Qiqi Dai successfully defended her PhD thesis
  • 8/2023: We are organizing a special section in IEEE J-MMCT on deep learning based forward and inverse EM characterization  [link]
  • 3/2023: Dr Mingyu Wang and Prof Yucel were the co-authors of the paper received "Best Presentation Award" by Prof Ron Hui, Dr Li Kerui, and Wu Jiayang, presented in APEC 2023, Orlando, FL
  • 3/2023: Qiqi Dai was selected as one of the recipients of 2023 IEEE AP-S C. J. Reddy Travel Grant
  •  11/2022: Kaixuan Cheng received the "Excellent Student Award" in 2022 Singapore Workshop on Antennas
  • 11/2022: Mingyu Wang successfully defended his thesis
  • 10/2022: Dai Qiqi was awarded by 2022 Antennas and Propagation Society (AP-S) Fellowship 
  • 06/2022: Our project on the development of standoff tree radar was highlighted in National Supercomputing Center e-newsletter [link

ACEL group's Research AREA

  • AI techniques (machine/deep learning) applied to

    (i) Radar detection and imaging and

    (ii) Forward and inverse electromagnetic analysis

  • Fast and accurate integral equation solvers for frequency and time domain analyses
  • Fast and accurate uncertainty quantification and surrogate modelling techniques 
  • Application of these solvers and techniques to

    (i) Analysis and design of high-speed circuits and interconnects

    (ii) Bio-electromagnetic analysis: magnetic resonance imaging (MRI), transcranial magnetic stimulation (TMS), and transcranial direct current stimulation (tDCS)

    (iii) Characterization of fields inside plasmas and radar cross sections of electrically large structures

    (iv) Electromagnetic compatibility and interference (EMC/EMI) analysis

    (v) Wireless channel characterization in tunnels