#antennas #microwave #electromagnetic #distinguished #Diffraction #EMtheory

EM diffraction is critical in many applications including antennas and propagation. Understanding and visualizing EM wave – object interaction is crucial in designing new antenna systems, in predicting path losses through complex propagation paths, etc. In order to do that wave pieces such as diffracted waves, Fringe waves, etc., should first be studied on canonical structures. Then, complex objects can be investigated by using HFA as well as numerical methods in hybrid form intelligently.

EM wave scattering from waves – objects interaction has long been investigated. Interesting wave phenomena, diffraction, occur when objects have sharp edges and tips. Methods known as High Frequency Asymptotics, such as Geometric optics (GO), Physical Optics, (PO), Geometrical Theory of Diffraction, (GTD), Uniform Theory of Diffraction (UTD), Physical Theory of Diffraction (PTD) and Theory of Edge Diffraction (TED) have been successfully applied to variety of EM problems. Recently, numerical methods, such as Finite Difference time Domain (FDTD), Method of Moments (MoM) and Finite Element Method (FEM) have also been used in modeling EM diffraction. These powerful methods, together with novel approaches, have shown to be successful not only in modeling EM diffraction but also in distinguishing wave pieces such as scattered waves, diffracted waves, Fringe waves, etc., which is very important in visualizing and understanding complex wave – object interaction.  

This short course will review all these approaches, use recently developed EM virtual tools and present comparisons through canonical examples.

  Date and Time




  • Date: 08 Sep 2022
  • Time: 02:00 PM to 03:00 PM
  • All times are (UTC+09:30) Adelaide
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  • North Terrace
  • The University of Adelaide
  • Adelaide, South Australia
  • Australia 5000
  • Building: Lower Napier
  • Room Number: LG11

  • Contact Event Host
  • Co-sponsored by Morteza Shahpari
  • Starts 19 August 2022 11:17 PM
  • Ends 08 September 2022 11:17 PM
  • All times are (UTC+09:30) Adelaide
  • No Admission Charge


Prof. Sevgi




Prof. Dr. Levent Sevgi is a Fellow of the IEEE (since 2009) and the recipient of IEEE APS Chen-To Tai Distinguished Educator Award (2021). He received his B. Eng., M. Eng., and PhD degrees in Electronic Engineering from Istanbul Technical University (ITU) in 1982, 1984 and 1990, respectively. In 1987, while working on his PhD, he was awarded a fellowship that allowed him to work with Prof. L. B. Felsen at Weber Research Institute / New York Polytechnic University York for two years. His work at the Polytechnic concerned the propagation phenomena in non-homogeneous open and closed waveguides.

He was with Istanbul Technical University (1991–1998), TUBITAK-MRC, Information Technologies Research Institute (1999–2000), Weber Research Institute / NY Polytechnic University (1988–1990), Scientific Research Group of Raytheon Systems Canada (1998 – 1999), Center for Defense Studies, ITUV-SAM (1993 –1998 and 2000–2002) and with University of Massachusetts, Lowell (UML) MA/USA as a full-time faculty (2012 – 2013), with DOGUS University (2001-2014) and with Istanbul OKAN University (2014 - 2021). He has been with Istanbul ATLAS University Since Sep 2022.

He has been an IEEE AP-S Distinguished Lecturer for the term 2020-2022. He served one-term in the IEEE AP-S AdCom (2013-2015) and one-term and as a member of IEEE AP-S Field Award Committee (2018-2019). He has been the writer/editor of the “Testing ourselves” Column in the IEEE AP Magazine (since Feb 2007), a member of the IEEE AP-S Education Committee (since 2006), He has also served in several editorial boards (EB) of other prestigious journals / magazines, such as the IEEE AP Magazine (since 2007), Wiley’s International Journal of RFMiCAE (2002-2018), and the IEEE Access (2017-2019 and 2020 - 2022). He is the founding chair of the EMC TURKIYE International Conferences (www.emcturkiye.org).

He has been involved with complex electromagnetic problems and complex communication and radar systems for nearly three decades. His research study has focused on propagation in complex environments; electromagnetic scattering and diffraction; RCS prediction and reduction; EMC/EMI modelling, simulation, tests and measurements; multi-sensor integrated wide area surveillance systems; surface wave HF radars; analytical and numerical methods in electromagnetics; FDTD, TLM, FEM, SSPE, and MoM techniques and their applications; bio-electromagnetics. He is also interested in novel approaches in engineering education, teaching electromagnetics via virtual tools. He also teaches popular science lectures such as Science, Technology and Society.

He has given dozens of seminars, invited/keynote talks, organized/presented several tutorials, training sessions and short courses from half-day to three-days in universities/institutes all around the World. He has published more than a dozen special issues / sections in many journals as a guest editor and/or a co-guest editor.

His recent keynote talks / distinguished lectures are: (i) From Engineering Electromagnetics towards Electromagnetic Engineering: Teaching, Training Next Generations, MIT Massachusetts Institute of Technology, Nov 9, 2021, MA-USA (ii) Radiowave Propagation Modeling and Simulation, University of Toronto, Oct 29, 2021, ON-CA, and (iii) Electromagnetic Diffraction Modeling and Simulation, University of Syracuse, Nov 11, 2021 NY-USA.

He has published many books/book chapters in English and Turkish, over 180 journal/magazine papers/tutorials and attended nearly 100 international conferences/symposiums. His three books Complex Electromagnetic Problems and Numerical Simulation Approaches, Electromagnetic Modeling and Simulation and Radiowave Propagation and Parabolic Equation Modeling were published by the IEEE Press - WILEY in 2003, 2014, and 2017, respectively. His fourth and fifth books, A Practical Guide to EMC Engineering (Sep 2017) and Diffraction Modeling and Simulation with MATLAB (Feb 2021) were published by ARTECH HOUSE.

His h-index is 37, with a record of more than 4750 citations (source: Google Scholar, Aug 2022).