Find Academic Supervisors

Lan Wei is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Waterloo, Canada. She leads the Waterloo Emerging Integrated Systems Group, focusing on device-circuit co-optimization, cryogenic CMOS for quantum computing, and emerging technologies like GaN, RRAM, and low-dimensional materials. Her work bridges nanoelectronics and system-level applications, with notable contributions to the MIT Virtual Source GaN HEMT (MVSG) compact model, an industry-standard tool. Education: B.S. in Microelectronics and Economics, Peking University (2005) M.S. and Ph.D. in Electrical Engineering, Stanford University (2007, 2010) Research Interests: Nanoelectronic devices Cryogenic CMOS for quantum computing GaN-based circuits and systems RRAM-based neuromorphic computing Device-circuit interactive design Publications reflect her expertise in GaN modeling, quantum computing hardware, and RRAM applications. Recent work emphasizes scalable quantum control circuits and error-resilient neural networks using emerging technologies. Awards include the 2019 Ontario Early Researcher Award and the 2020 UWaterloo President's Excellence Award in Research. She has served on technical committees for IEDM, DATE, and ICCAD, and contributed to the ITRS roadmap. Teaching includes courses like ECE 240 (Electronic Circuits) and ECE 730 (Solid State Devices). Her group actively seeks graduate students with interest in integrated systems and nanoelectronics.

• Nanoelectronic devices
• Cryogenic CMOS electronics
• GaN-based devices and circuits
• +5 more

Dr. Chih-Hung (James) Chen is a Professor in the Department of Electrical & Computer Engineering at McMaster University. His research focuses on noise-related issues in semiconductor devices, low-noise circuit design for medical and communication applications, and thermal noise characterization in nano-scale transistors. He holds senior member status in IEEE and is a licensed Professional Engineer in Ontario. Education: Ph.D., McMaster University, 2002 M.A.Sc., Simon Fraser University, 1997 B.Sc., National Central University, Taiwan, 1991 Research interests include biomedical technologies, microelectronics & VLSI, and digital/smart systems. He has collaborated with companies like Sony Corporation, United Microelectronics Corporation, and Focus Microwaves. His work is supported by grants from the Canada Foundation for Innovation (CFI), NSERC, and the Ontario Innovation Trust (OIT). Notable achievements include serving on the International Advisory Committee of the International Conference on Noise and Fluctuations (2015) and as an editor for the Journal of Low Power Electronics and Applications since 2022. Teaching includes courses like Analysis and Design of RF ICs for Communications and Electronic Devices and Circuits 2. His research lab focuses on advancing noise measurement techniques and designing ultra-low-power analog circuits for emerging applications.

• Biomedical Technologies
• Microelectronics & VLSI
• Digital & Smart Systems
• +5 more

Bhavin Shastri is Canada Research Chair in Neuromorphic Photonic Computing and Assistant Professor of Engineering Physics at Queen's University. He directs research developing light-based computing systems that mimic neural processing for AI applications. His lab designs photonic integrated circuits that implement neural network architectures on chip-scale platforms. Research focuses on overcoming limitations of conventional computing through nanophotonic physics and novel materials. Publications demonstrate advances in photonic tensor cores, quantum photonic neural networks, and microwave photonic processors. Recent work achieves orders-of-magnitude improvements in processing speed and energy efficiency over electronic systems. Awards include: Alfred P. Sloan Research Fellowship (2025) Royal Society of Canada College Member (2024) Science News SN10 Scientist to Watch (2024) SPIE Early Career Award (2022) As Scientific Co-Director of NSERC's NUCLEUS program, he leads national efforts in photonic computing. Guides 12+ graduate students researching silicon photonics, neuromorphic architectures, and quantum photonics.

• Neuromorphic Photonics
• Quantum Computing
• Silicon Photonics
• +2 more

Mustapha C.E. Yagoub is a Full Professor at the School of Electrical Engineering and Computer Science, University of Ottawa, with over 500 publications in RF/microwave CAD, RFID systems, neural networks, and applied electromagnetics. He leads research in the ELEMENT Laboratory and RFM Research Group , focusing on wireless communication systems and nonlinear device modeling. PhD in Electronics (Institut National Polytechnique de Toulouse, 1994) Magister in Telecommunications (École Nationale Polytechnique d'Alger, 1987) Dipl.-Ing. in Electronics (École Nationale Polytechnique d'Alger, 1979) His research bridges Microwave Circuit Design with Artificial Intelligence , including applications in Energy Conservation and Telecommunication Systems . Key trends in his publications include hybrid modeling techniques combining Neural Networks with Computational Electromagnetics for optimizing Antenna Design and RF Components . He is a Senior Member of IEEE and licensed with the Professional Engineers of Ontario and Ordre des Ingénieurs du Québec . His lab teams focus on High-Tc Superconducting Devices and Directional Antenna Optimization for RFID networks.

• RF/Microwave Circuit Design
• RFID Systems
• Antenna Design
• +5 more

Ghyslain Gagnon is a Professor in the Department of Electrical Engineering at École de technologie supérieure (ÉTS) in Montreal, Canada. He leads research activities within the LACIME – Communications and Microelectronic Integration Laboratory, focusing on cutting-edge developments in microelectronics, sensors, and communication systems. His work bridges theoretical research and practical applications across multiple domains including health technologies, wireless communications, and quantum engineering. Education: B.Ing. from École de technologie supérieure M.Ing. from École de technologie supérieure Ph.D. from Université de Carleton Professor Gagnon's research spans several interconnected domains with emphasis on Radiofrequency circuits and antennas, Microelectronics, Wireless communications, Sensors and monitoring systems, Machine learning applications, Health technologies, and Quantum engineering. His work demonstrates a strong commitment to translating theoretical concepts into practical solutions with real-world impact, particularly in the areas of health monitoring systems and advanced communication technologies. His recent publications reveal a clear trajectory toward increasingly interdisciplinary research, combining traditional electrical engineering with machine learning, health monitoring, and quantum technologies. The trend shows growing emphasis on practical applications in automotive safety systems, wireless communications for next-generation networks, and health monitoring technologies that leverage flexible electronics and novel sensor designs. Professor Gagnon has successfully supervised numerous graduate students through their doctoral and master's research, with recent theses focusing on smart hearing protection devices, machine learning applications, energy monitoring systems, and flexible sensor technologies. His supervision record demonstrates consistent productivity and relevance to contemporary engineering challenges. He is an active member of the LACIME research laboratory, which focuses on six key areas: Functional materials, Micro- and nanofabrication processes, Conception and design of integrated circuits, Design and fabrication of hybrid components, Photonic and electronic microsystems, and Signal processing and communication. This environment provides students with access to cutting-edge tools and fosters innovation through interdisciplinary collaboration.

• Radiofrequency circuits and antennas
• Microelectronics
• Wireless communications
• +4 more

Amir Hamed Majedi is a Professor at the University of Waterloo , cross-appointed to the Departments of Physics and Astronomy and Applied Mathematics . He leads the Integrated Quantum Optoelectronics Lab (IQOL) under the Waterloo Institute for Nanotechnology. Research Interests : Quantum photonics Superconducting optoelectronics Graphene photonics THz photonic devices Nano-electrophotonics Quantum information technology Article Trends : His publications focus on quantum electrodynamics in superconducting and graphene structures, covering single-photon detectors, nonlinear optical effects, THz amplification, and microwave-photonics integration. Keywords include Quantum Physics , Nanotechnology , Photonics , and Superconductivity . Teaching : Courses taught in recent years include ECE 106 - Electricity and Magnetism , ECE 375 - Electromagnetic Fields and Waves , and advanced topics in Quantum Electronics and Photonics (ECE 677, QIC 885). Education : Doctorate in Electrical and Computer Engineering (2001, University of Waterloo) Master's in Electromagnetic Waves and Photonic (1996, Amirkabir University of Technology) Bachelor's in Telecommunications (1994, Khaje-Nasir Toosi University of Technology)

• Quantum photonics
• Superconducting optoelectronics
• Microwave-photonics
• +5 more

Dr. Ying Wang is a Professor in the Department of Electrical, Computer and Software Engineering at Ontario Tech University, part of the Faculty of Engineering and Applied Science. Her research focuses on RF/microwave circuits, millimeter-wave technology, antennas, and computer-aided design. She holds a PhD from the University of Waterloo (2000), and earlier degrees from Nanjing University of Science and Technology, China. Education: PhD (Electrical Engineering), University of Waterloo, 2000 Master of Applied Science (Electronic Engineering), Nanjing University of Science and Technology, 1996 Bachelor of Engineering (Electronic Engineering), Nanjing University of Science and Technology, 1993 Research Interests: Dr. Wang specializes in microwave filter design, millimeter-wave systems, antenna arrays, and neural network applications in electromagnetic optimization. Her work emphasizes practical implementations in wireless communication systems, satellites, and high-frequency devices. Recent projects include optimizing amplifier stability in CMOS technology and developing advanced multiplexing networks. Publications: Her publications span neural network modeling for microwave filters, millimeter-wave amplifier design, and multiplexer synthesis. Key themes include high-dimensional optimization techniques, scalable circuit models, and cross-disciplinary applications of artificial intelligence in electromagnetics. Professional Background: Prior to academia, Dr. Wang worked as a Senior Member of Technical Staff at COM DEV International (2000–2007), contributing to industrial microwave system development. She currently teaches courses such as Microwave and RF Circuits (ELEE 4750U) and Antenna Theory and Design (ENGR 5695G).

• RF/Microwave Circuits and Systems
• Millimeter-Wave Technology
• Antennas and Antenna Arrays
• +4 more

Elham Baladi is an Assistant Professor in the Department of Electrical Engineering at Polytechnique Montréal, where she conducts cutting-edge research in electromagnetics, antenna design, and microwave technologies. Her work focuses on metasurfaces, reconfigurable intelligent surfaces, and RF/microwave sensors with applications spanning satellite communications, medical diagnostics, and next-generation wireless systems. Dr. Baladi received her B.Sc. in Electrical Engineering with a focus on Communication Systems from the Iran University of Science and Technology in Tehran, Iran (2013), followed by a Ph.D. in Electrical Engineering specializing in Electromagnetics and Microwaves from the University of Alberta, Edmonton, Canada (2019). Prior to joining Polytechnique Montréal, she completed postdoctoral research at the University of Toronto's Reconfigurable Antenna Laboratory (2019-2021) and worked as an Antenna/Filter Design Engineer at Syntronic Research and Development Canada (2021-2022). Her research program explores metamaterials and metasurfaces for quantum applications, reconfigurable intelligent surfaces for communication systems, smart antennas for MIMO and satellite communications, and innovative RF/microwave sensors. Dr. Baladi's work bridges theoretical electromagnetics with practical engineering solutions, addressing challenges in wireless communications, sensing, and imaging technologies. She has published extensively in top-tier journals including IEEE Transactions on Antennas and Propagation, IEEE Transactions on Microwave Theory and Techniques, and Scientific Reports. Analysis of Dr. Baladi's recent publications reveals a strategic focus on metasurface applications across multiple domains, with increasing integration of AI techniques in electromagnetics. Her work spans antenna design for satellite communications, microwave sensors for material characterization, and innovative polarization control techniques. A notable trend is the practical implementation of theoretical concepts for real-world communication and sensing applications, with growing emphasis on healthcare applications like tumor detection. Dr. Baladi serves as a reviewer for multiple IEEE and OSA journals and is affiliated with the Advanced Research Centre in Microwaves and Space Electronics (POLY-GRAMES) and Astrolith. Her laboratory work focuses on experimental validation of theoretical concepts in metasurfaces and antenna design, with applications ranging from satellite communications to medical diagnostics. Her teaching portfolio includes Advanced Electromagnetics, Antennas and Propagation, and RF Filter Design.

• Antennas and propagation
• Microwave and millimeterwave devices
• Electromagnetics
• +7 more

Dr. Mohamed Elamien is an Assistant Professor in the Department of Electrical and Computer Engineering at McMaster University . His research focuses on automating high-performance integrated circuit (IC) design, addressing Power-Performance-Area (PPA) challenges in semiconductors, and developing self-powered platforms for emerging technologies like biomedical and IoT applications. He holds a BSc (Highest Honors) and MSc from the University of Sharjah (2015–2017), and a PhD in Electrical and Computer Engineering from the University of Calgary (2021). Prior to academia, he worked as a senior analog/mixed-signal circuit design engineer at Synopsys (2022). Education: BSc (Highest Honors) in Electrical & Electronics Engineering – University of Sharjah (2015) MSc in Electrical & Electronics Engineering – University of Sharjah (2017) PhD in Electrical & Computer Engineering – University of Calgary (2021) His research interests span analog and mixed-signal circuit design , CMOS integrated circuits , biomedical technologies , and energy-efficient systems . He has developed innovative designs for oscillators, filters, and low-power circuits with applications in IoT and healthcare. His work emphasizes automation and symbolic math tools to streamline circuit synthesis. Dr. Elamien has published extensively in top-tier journals like IEEE Transactions on VLSI Systems and IEEE Transactions on Microwave Theory and Techniques , focusing on topics such as all-pass filters , low-power oscillators , and AI-driven circuit design . His articles often address challenges in high-frequency communication systems and noise reduction . Awards: Alberta Innovates Graduate Student Award (2020 – Technology Category) Alberta Graduate Excellence Scholarship (2019–2020) 2022 Schulich School of Engineering Graduate Student Research Excellence Award He currently teaches ELECENG 2CJ4: Circuits and Systems and ELECENG 3TP3: Signals and Systems , emphasizing advanced circuit analysis and systems theory. His lab explores next-generation circuit architectures for energy-efficient and biomedical applications.

• Circuit Theory
• CMOS Integrated Circuits
• Analog and Mixed-Signal Circuit Design
• +7 more

Dr. Majid Ahmadi is a Distinguished Professor in the Department of Electrical and Computer Engineering (ECE) at the University of Windsor's Faculty of Engineering. He holds a BSc from Sharif University of Technology (1971) and a PhD from Imperial College London (1977). His research focuses on digital signal processing, machine vision, VLSI systems, and memristive circuits. He is a Chartered Engineer (UK) and a Fellow of both IET and IEEE. His work spans cutting-edge areas including low-power VLSI architectures, illumination-invariant face recognition, and 3D IC testing. Recent publications address energy-efficient cognitive radio networks and microstrip filter optimization. His professional accolades include prestigious engineering fellowships. He advises graduate research in advanced signal processing and integrated circuit design. His contributions to IEEE Transactions and IET journals reflect his leadership in interdisciplinary electronics research.

• Digital Signal Processing
• Machine Vision
• Pattern Recognition
• +4 more

Farah Mohammadi is an Associate Professor in the Department of Electrical and Computer Engineering at Toronto Metropolitan University, where she has held a faculty position since 2003. Her prior academic experience includes a lectureship at Iran University of Science & Technology (1992-1993), followed by industry work as a Senior System Architect at Nortel Networks Laboratories in Ottawa (2000-2002). Her educational background features a B.Sc. and M.Sc. in Telecommunication Engineering from Iran University of Science & Technology (1988, 1991), and a Ph.D. in Electronic Engineering from the Institute d'Electronique et Microelectronique du Nord (IEMN) at the University of Science and Technology of Lille, France (1998). Research focuses on advanced electro-thermal analysis of integrated circuits, development of electro-thermal test tools, microwave circuits CAD, applied electromagnetics, and modeling of interconnects and packaging effects in high-speed circuits. Her work bridges theoretical electromagnetics with practical RF/microwave component design methodologies. Publication analysis (2008-2010) reveals consistent integration of thermal and electromagnetic modeling for ICs and microwave components, with significant contributions to electro-thermal simulation tools, thermal management of dual-core processors, and efficient CAD for RF/microwave circuits.

• Electro-thermal Analysis of Integrated Circuits
• RF and Microwave Circuit Design
• Applied Electromagnetics
• +2 more

Suren Gigoyan is an Adjunct Assistant Professor at the University of Waterloo, affiliated with its adjunct faculty. His research focuses on millimeter-wave and terahertz technologies, with a strong emphasis on antenna design, phase shifter development, and sensing applications. His work includes innovations in phased-array antennas, tunable components, and whispering-gallery-mode (WGM) resonators for biomedical and industrial uses. Key areas of exploration include: Phased array architectures for 5G/6G and satellite communication systems MEMS-based tunable phase shifters and variable attenuators Dielectric resonators and WGM sensors for glucose monitoring and oil quality analysis Low-profile, compact antenna designs for millimeter-wave integration His publications span over three decades, with recent contributions (2021–2025) addressing emerging challenges in W-Band systems, non-reciprocal devices, and passive beamforming. Notable trends include the integration of ferromagnetic materials and silicon-on-glass (SOG) technology for high-performance, cost-effective solutions. While no academic awards or grants are explicitly listed, his work reflects sustained innovation in RF and microwave engineering. Advising and team collaborations are not detailed in the available texts.

• Antenna Engineering
• Millimeter-Wave Technology
• RF Circuits and Systems
• +3 more

Raafat Mansour is a Professor and University Research Chair at the University of Waterloo, serving as Director of the Centre for Integrated RF Engineering. His research focuses on advanced RF and microwave engineering, including phase shifters, reconfigurable circuits, MEMS devices, and low-temperature superconductors. He leads efforts in developing tunable filters, millimeter-wave systems, and phase change material applications. His expertise spans RF component design, cryogenic electronics, and integration of novel materials like BST varactors and GeTe switches. Mansour’s work addresses challenges in 5G and future communication systems, emphasizing miniaturization and system efficiency. He has pioneered reconfigurable intelligent surfaces (RIS) and monolithic integration techniques for next-generation RF front-ends. Key contributions include magnetless cryogenic circulators, liquid crystal-based phase shifters, and high-performance SAW filters. His articles highlight innovations in bandwidth reconfiguration, tunable capacitors, and superconducting circuits for quantum applications. Mansour’s research also explores MEMS actuators, thermal management in RF switches, and scalable phase-change switch matrices. As an educator, he has contributed to MTT-S scholarship programs and promotes interdisciplinary education in RF engineering. His laboratory work emphasizes practical applications of theoretical advancements, with a focus on real-world deployment of reconfigurable systems.

• RF Engineering
• Microwave Engineering
• Millimeter-Wave Technology
• +4 more

Safieddin Safavi-Naeini was a Professor in the Department of Electrical and Computer Engineering and Director of the Centre for Intelligent Antenna and Radio Systems (CIARS) at his university. He specialized in advanced antenna systems, microwave engineering, radar technologies, and biomedical sensor design. His work emphasized high-frequency systems, phased array antennas, and mm-wave applications. Research Focus: His research spanned antenna design (e.g., defected ground structures, SIW-integrated arrays), mm-wave radar systems (including FMCW and SAR imaging), non-invasive biomedical sensors (e.g., glucose monitoring via microwave sensors), and satellite communication systems. He contributed to RFIC design, power amplifier technologies, and novel metamaterial-based components. Technological Contributions: Key innovations included tunable phase shifters, low-cost phased arrays for 5G/SATCOM, and compact high-gain antenna arrays. His work in graphene-based nonlinear optics and THz sources expanded into emerging applications like terahertz integrated circuits. Awards & Recognition: While no specific awards are listed, his prolific publication record and leadership in CIARS highlight his impactful contributions to the field. Advising & Labs: As director of CIARS, he oversaw research in intelligent antenna systems and radar imaging. His team developed cutting-edge systems like the 3D-printed scanning lens antenna and mm-wave FMCW target simulators.

• Antenna Engineering
• Microwave Engineering
• Radar Systems
• +3 more

Marco A. Antoniades is an Associate Professor at the Department of Electrical, Computer, and Biomedical Engineering at Toronto Metropolitan University. He serves as the Director of the Microwaves & Antennas Laboratory (MA-Lab), focusing on innovative antenna and RF/microwave engineering. Education : PhD (2009), MASc (2003) from University of Toronto, BASc (2001) from University of Waterloo. Research Interests include engineered electromagnetic materials, reconfigurable antennas, metamaterials/metasurfaces, wireless power transfer, and microwave imaging. His work advances 5G and beyond wireless networks through adaptive RF hardware. Selected Publications highlight cutting-edge developments in programmable metasurfaces, leaky-wave antennas, and beam steering technologies for wireless connectivity. Scientific Awards : Best of IEEE Computer Architecture Letters Award (2018), Teaching Innovation Award (2018), IEEE AP-S/URSI Student Paper Competition First Place (2006), Hellenic Canadian Federation Academic Excellence Award (2003). Laboratory : MA-Lab at Toronto Metropolitan University provides state-of-the-art facilities for designing and testing microwave/antenna systems, including simulation software, 3D printing, and PCB prototyping.

• Antenna Engineering
• RF/Microwave Engineering
• Metamaterials
• +3 more