Welcome to my website!

I am Amirbahador Mansoori, a PhD student in Electrical and Computer Engineering at the University of Waterloo, where I conduct research under the supervision of Professor George Shaker and Professor Raafat R. Mansour. My work focuses on applied electromagnetics, RF and microwave engineering, radar sensing, reconfigurable intelligent surfaces, dynamic metasurface antennas, and data-driven wireless systems. I am particularly interested in combining advanced electromagnetic design with machine learning, artificial intelligence, and signal processing to develop practical and scalable sensing technologies.

Before starting my PhD, I completed my Master’s degree in Electrical and Computer Engineering at the University of Manitoba, where my research focused on short back-fire antennas, electromagnetic modeling, and remote sensing of oil-contaminated sea ice. I also earned my Bachelor’s degree in Electrical and Computer Engineering from Shahid Beheshti University in Iran. These academic experiences helped shape my long-term interest in antenna systems, microwave measurements, radar applications, and computational electromagnetic methods.

In parallel with my academic work, I have gained significant industry experience in RF engineering, antenna and filter design, simulation, fabrication, and testing. At SynMatrix Inc., I worked on RF and microwave software development, filter synthesis algorithms, HFSS automation, customer support, and product demonstrations for international audiences. I also contribute to advanced RF research through my Apple internship, where I work on innovative and scalable data-driven wireless solutions for manufacturing and sensing applications. This blend of academic and industrial experience has shaped my approach to engineering: rigorous in theory, practical in implementation, and focused on real-world impact.

My current doctoral research explores how intelligent electromagnetic platforms can improve next-generation sensing systems. This includes the design, fabrication, and testing of reconfigurable intelligent surfaces for beam steering, adaptive radar technologies for contactless health monitoring, and the use of AI and machine learning to improve sensing robustness in real environments. My goal is to contribute to wireless and radar technologies that are both scientifically meaningful and practically deployable in healthcare, advanced manufacturing, and intelligent sensing systems.

In addition to research, I am actively involved in teaching, mentorship, and professional service. At the University of Waterloo, I have contributed as a sessional lab instructor and teaching assistant in areas such as RF and microwave circuits, electromagnetics, and microfabrication. I also serve as Chair of the IEEE Antennas and Propagation Society Student Branch at Waterloo and participate in mentoring and graduate student representation activities. I value these roles because they allow me to contribute to the broader academic community while continuing to grow as a researcher and educator.

It's me. At the Near-Field Antenna laboratory at the University of Manitoba

ANSYS 2024 Simulation World Conference, Ottawa, Canada.

I had the opportunity to present our work at Synmatrix with two design showcases: a dual band waveguide filter and a SIW filter with two transmission zeros, and it was a great success. The conference featured numerous technical sessions and keynote speakers that were both informative and inspiring. I was thrilled to meet and connect with industry leaders like Laila Salman, Renee DeMay, John Ploschnitznig, Peter Anzelmo. The Women in Engineering session was particularly impactful, raising important awareness. The journey from Toronto to Ottawa with VIA Rail was a delightful experience, and I thoroughly enjoyed exploring the Fallowfield region.

2024 Ansys Simulation World Conference, Ottawa, Canada.

Left to right: Dr. Laila Salman, and me.

Left to right: Myself, and John Ploschnitznig

Amirbahador is holding the fabricated SBF antenna in the Antenna lab at UofM.

Master's degree in Electrical and Computer Engineering from the University of Manitoba.

Me doing some filter tuning and measurements.

EMTS 2023 - Vancouver, Canada.

left to right: Senior RF Filter Designer engineer from Ansys, Mr. Dan Fallon, Myself at EMTS2023.

left to right: Distinguished Professor Lot. Shafai, Myself, Professor Dustin Isleifson (My master's supervisor) from the University of Manitoba at EMTS2023.

left to right: Distinguished Professor Yahya Rahmat-Samii (greatest of all the time) from the University of California Los Angeles, and myself at EMTS2023.

Myself presenting our paper at EMTS2023, Vancouver, BC, Canada.

Lunch break with some old friends and colleagues at EMTS 2023, Vancouver, Canada.

Left to right: myself and Professor Satish Sharma at emts2023.

Myself presenting my paper at EMTS2023, at the university of BC, Canada.

I am experienced with:

Programming languages including Python, MATLAB, C++, Dart, SQL, HTML, CSS, PHP, and JavaScript.
Experienced with simulation software such as HFSS, CST, FEKO, ADS, COMSOL, Simulink, Multisim, and P-Spice.
Experienced with RF Test Equipment including Vector Network Analyzer (VNA), Spectrum Analyzers, Signal generators, Near-Field (NF) (Planar-T, Cylindrical, and Spherical) and Far-Field (FF) antenna measurement systems, Pluto Software Defined Radio, Monostatic Scatterometer.
Experienced with Designing Antennas for remote sensing and biomedical applications including Short Back-Fire, Reflector, Microstrip Patch, Horn, Dipole, Monopole, and Helical.
Experienced with Designing (LPF, BPF, HPF, and BSF) Filters such as Cavity Resonator Filters, Waveguide Filters, Planar Filters, and SIW Filters for different applications.
Experienced with Electromagnetic, RF, and Antenna design concepts including S-Parameters, VSWR, Matching circuit, Radiation efficiency, Realized Gain, Directivity, Dual polarization, Dual-band, Antenna array, SNR, Tx, Rx, TRX, Signal Modulation/Demodulation circuits, RF Filter, NF, EVM, Link Budget, Path Loss, OFDM, and Massive MIMO.
Experienced with Software Engineering including Back End, Front End, Data Structure, Database, Version Control, and JSON and XML.
Machine Learning Modeling and Convolutional Neural Network (CNN) Modeling with Python.
Experienced with Embedded System Design including AVR microcontrollers (Arduino UNO).
Experienced with Microwave Measurement Systems including Cavity Resonator (C-band and L-band), Waveguide, Free Space Antenna, and High-temperature dielectric probe.
Experienced with simulating dielectric mixture modeling of inhomogeneous mediums, and remote sensing concepts including Active & Passive systems, Backscattering, NRCS, Radar Signal Processing, Polarization, and Penetration Depth.
Familiar with Remote Sensing Instruments such as LiDAR, and Ground Penetrating Radar (GPR).

Test and Measurements

Me standing beside some of my designed filters and enjoying seeing them operate perfectly.

Preparing to test a copper coated cavity resonator filter.

My main research interests are:

Radio Frequency (RF) Engineering.
Antenna and Filter (both Component-level and System-level) Design.
Antenna miniaturization, Electromagnetic Band-Gap (EBG) structure, Frequency Selective Surface (FSS) structure, and Phased array antennas.
Algorithm Development for Radio Frequency Engineering.
Algorithm Development and Signal Processing with MATLAB and Python.
Microwave remote sensing technology development.
RF Circuit (PCB) Design with ADS, EasyEDA, and Eagle software.
Artificial Intelligence and Machine learning in real-world engineering designs such as electrical, and mechanical engineering, specifically antenna design.
Radar Signal processing.
Brain signal processing.
Sensor design and IoT applications.
Material measurements.

Me at the Compact Range Antenna laboratory at the University of Manitoba

Me at the Near-Field Antenna laboratory at the University of Manitoba

My Publications List

1. Amirbahador Mansoori, Yan Liang, James Luo, Diamond Liu, “9th Order Cavity Filter Design and AI Optimization Using SynMatrix” URSI International Symposium on Electromagnetic Theory, URSI EMTS 202, Vancouver, BC, Canada.

2. Amirbahador Mansoori, Dustin Isleifson, Lot Shafai “Improving Compact Short Backfire Antenna Gain and Cross Polarization using Choke and Ring Cavity Loading” IEEE Transactions on Antennas and Propagation, (Download).

3. Amirbahador Mansoori, Dustin Isleifson “Design of Short Backfire Antennas for Remote Sensing Applications” IEEE 19th International Symposium on Antenna Technology and Applied Electromagnetics, 2021 (ANTEM) (Download).

4. Yewande M. Aragbaiye, Amirbahador Mansoori, Cyrus Shafai, Dustin Isleifson, “Implementing a Prototype of a Short-Backfire Antenna Using Additive Manufacturing” 2022 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE) (Download)

5. Elvis Asihene, Durell S. Desmond, Madison L. Harasyn, David Landry, Cathrin Veenaas, Amirbahador Mansoori, Mark Christopher Fuller, Gary Stern, and David Barber, Colin Gilmore, Dustin Isleifson, “Towards the Detection of Oil Spills in Newly-Formed Sea Ice using C-Band Polarimetric Radar” IEEE Transactions on Geoscience and Remote Sensing (27 October 2021, (Download)

6. Amirbahador Mansoori, Dustin Isleifson, Durell Desmond, Gary Stern, “Modeling Normalized Radar Cross-Section of Oil-Contaminated Sea Ice with Small Perturbation Method” IEEE 19th International Symposium on Antenna Technology and Applied Electromagnetics, 2021 (ANTEM) (Download).

7. Elvis Asihene, Durell S. Desmond, Amirbahador Mansoori, Mark Christopher Fuller, Gary Stern, David Barber, Colin Gilmore, and Dustin Isleifson “C-band Backscatter of Oil-polluted New Sea Ice in a Mesocosm” IEEE 19th International Symposium on Antenna Technology and Applied Electromagnetics, 2021 (ANTEM) (Download).

8. Amirbahador Mansoori, Dustin Isleifson, Durell Desmond, Gary Stern, “Development of Dielectric Measurement Techniques for Arctic Oil Spill Studies”, IEEE International Symposium on Antennas and Propagation and North American Radio Science, 2020 (APS-URSI) (Download).

9. Durell S. Desmond, Odile Crabeck, Marcos Lemes, Madison L. Harasyn, Amirbahador Mansoori, Diana Saltymakova, M. Christopher Fuller, Søren Rysgaard, David G. Barber, Dustin Isleifson, and Gary A. Stern, “Investigation into the Geometry and Distribution of Oil Inclusions in Sea Ice using non-destructive X-ray Microtomography and its Implications for Remote Sensing and Mitigation Potential”, Elsevier Marine Pollution Bulletin, The International Journal for Marine Environmental Scientists, Engineers, Administrators, Politicians and Lawyers, 2021 (Download).

10. Desmond Durell, Thomas D Neusitzer, Marcos Lemes, Dustin Isleifson, Diana Saltymakova, Amirbahador Mansoori, David G Barber, Gary Stern, “Examining the Physical Interactions of Corn Oil (Medium Crude Oil Surrogate) in Sea Ice and its Potential for Chemical Partitioning within an Arctic Environment”, 42nd AMOP Technical Seminar on Environmental Contamination and Response, 2019 (Download).

11. Desmond, D.S., Smith, A., Saltymakova, D., Wolfe, T., Snyder, N., Polcwiartek, K., Lemes, M., Hubert, C., Chavarriaga, M., Ellefson, E., Stone, M., Mansoori, A., Barber, D.G., Isleifson, D., and Stern, G.A. “Assessing the Potential for Photooxidation and Biodegradation of Crude Oil in Surficial Sea Ice and the Fate of Transformed Products”, In the Proceedings of Arctic Change 2020.

12. Amirbahador Mansoori “Development of short back-fire antennas and electromagnetic modeling techniques for remote sensing of oil-contaminated sea ice”, My Master’s Thesis, Winnipeg, Manitoba, Canada, 2021, (Download)