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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

Ignacio Galiano Zurbriggen is an Assistant Professor in the School of Sustainable Energy Engineering at Simon Fraser University (SFU), holding a P.Eng. license. His expertise spans power electronics, energy systems integration, and sustainable energy engineering. He completed his Ph.D. in Electrical & Computer Engineering at UBC (2020), followed by M.Sc. degrees from UBC (2013) and SFU (2012), and a B.Sc. in Electrical Engineering from the National University of Córdoba (2010). His research focuses on power converter modeling/control, energy systems optimization, and multi-domain systems. Notable projects include ultra-fast MPPT algorithms for PV systems, LVRT improvements for wind turbines, and GaN-based PFC design. He teaches advanced courses like SEE 895 Special Topics III and serves as an Associate Editor for the IEEE Open Journal of Power Electronics. Recent work emphasizes grid-connected converter dynamics, microgrid optimization, and adaptive control strategies for renewable energy systems. His publications span IEEE Transactions on Power Electronics, Smart Grid, and leading conferences like APEC and ECCE.

• Power Converter Modelling & Control
• Energy Systems Integration
• Renewable Energy Systems
• +6 more

Dr. Carl Ho (Ngai Man) is a Full Professor and Canada Research Chair in Efficient Utilization of Electric Power at the University of Manitoba's Price Faculty of Engineering, Department of Electrical and Computer Engineering. Appointed Associate Head (Electrical Engineering) in July 2021, he leads the Renewable-energy Interface and Grid Automation (RIGA) Lab established with CFI funding in 2014. His educational background includes: PhD in Electronic Engineering (2007), City University of Hong Kong MEng in Electronic Engineering (2002), City University of Hong Kong BEng in Electronic Engineering (2002), City University of Hong Kong Dr. Ho's research focuses on power electronics applications for sustainable energy systems, with particular expertise in power conversion technologies for electric vehicles, renewable integration, and smart grid infrastructure. His work bridges industrial application and academic innovation, evidenced by over 40 IEEE journal publications, 80 conference papers, and 20+ patents. Current research emphasizes wide-bandgap semiconductor applications, power hardware-in-loop validation, and DC microgrid architectures for remote communities. Analysis of his recent publications reveals a strong trend toward practical implementation of power electronics solutions, with increasing focus on GaN/SiC devices, grid-forming converters, and modular architectures for microgrids. His work consistently addresses real-world challenges in efficiency, reliability, and cost-effectiveness across renewable integration, electric transportation, and power quality domains. Notable awards include: Second Place Winner for 2018 IEEE Transactions on Power Electronics Prize Paper Multiple IEEE JESTPE Star Associate Editor Awards (2022-2023) IEEE TPEL AE Excellence Award (2023) Best Student Team Regional Award in IEEE Empower a Billion Lives 2019 As an active mentor, Dr. Ho supervises numerous graduate students across multiple cohorts and leads significant research initiatives including NSERC Discovery Grants, MITACS collaborations with Power Integrations Inc., Research Manitoba Innovation Proof-of-Concept Grants, and Natural Resources Canada projects on zero-emission heavy vehicles. His RIGA Lab serves as a hub for industry-academic collaboration with Manitoba Hydro and transportation sector partners. The RIGA Lab, completed in 2016 and renovated in 2019, houses specialized equipment for power electronics prototyping, real-time simulation, and hardware-in-loop testing. Current projects include advanced wireless EV charging, GaN-based controller development, and DC microgrid solutions for remote communities, with recent recognition including a visit from Prime Minister Justin Trudeau in April 2023.

• Power Electronics
• Heavy-Duty Electric Vehicles
• Renewable Energy Technologies
• +5 more

Ksenia Dolgaleva is an Associate Professor at the University of Ottawa's School of Electrical Engineering and Computer Science, and holds a Canada Research Chair in Integrated Photonics (Tier 2). She joined the university in July 2013 as part of the Canada Excellence Research Chair team led by Professor Robert Boyd. Education: She earned a Diploma in Physics from Moscow State University (Russia) and a Ph.D. in Optics from the University of Rochester (USA, 2009). She completed a postdoctoral fellowship at the University of Toronto (2009–2013), supported by a Mitacs Elevate fellowship (2011–2012). Research Interests: Her work focuses on integrated photonics, nonlinear optics, THz technology, and advanced optical materials. Key areas include artificial photonic structures, nonlinear responses in materials like InP, GaN, and quartz, and plasmonic metamaterials for sensing and frequency conversion. Publications & Trends: Over 20 peer-reviewed articles highlight her contributions to nonlinear photonics platforms, THz spectroscopy, and material characterization. Recent work emphasizes phase-matched processes, ultra-high-Q resonances, and THz plasmonic metasurfaces. Scientific Awards: Outstanding undergraduate thesis award (Russian Physical Society, 2009) Outstanding student presentation (OSA Frontiers in Optics, 2008) Advising & Grants: Trained 8 students during her Ph.D. and postdoc. Currently building her research group to explore optics and photonics. Labs/Teams: Active in the Canada Excellence Research Chair team and collaborates on projects involving III-V semiconductors and THz technologies.

• Integrated Photonics
• Nonlinear Optics
• THz Technology
• +3 more

Yves Blaquière is a Professor in the Department of Electrical Engineering at École de Technologie Supérieure. He is affiliated with the Communications and Microelectronic Integration Laboratory (LaCIME), focusing on microelectronics, integrated circuit design, and power integrity in advanced electronic systems. His research spans VLSI/ASIC design, FPGA-based reconfigurable computing, MEMS for avionics, and radiation effects on electronics. Aeronautics and Aerospace Intelligent and Autonomous Systems Microelectronics and VLSI Power Integrity Modeling MEMS Switch Design Radiation-Resilient Circuits His recent publications highlight innovations in GHz-range power integrity for SiP, FPGA-based SHEPWM inverters, and MEMS switches for avionic power systems. Collaborations with researchers like Frédéric Nabki and Nicolas Constantin reflect his focus on industrial applications and technology transfer. Professor Blaquière co-supervises PhD candidates including Hachem Bensalem, Gabriel Nobert, and Abdurrashid Hassan Shuaibu, covering topics such as heterogeneous optimization, power converter modeling, and MEMS switch development. His work contributes to wafer-scale prototyping platforms like WaferBoard and advanced tools for radiation testing in FPGAs. LaCIME, under his involvement, emphasizes equity, diversity, and inclusion, offering students opportunities to engage in cutting-edge projects from materials to communication protocols. The lab's expertise includes micro/nanofabrication, photonic microsystems, and signal processing.

• Microelectronics
• VLSI and ASIC Design
• FPGA-Based Systems
• +6 more

Thomas G. Fevens is a Professor in the Department of Computer Science and Software Engineering at Concordia University, and an Adjunct Professor in the Department of Surgery at McGill University. He holds a PhD in Computing and Information Science from Queen's University (1999), with prior degrees in Astrophysics and Physics. His research focuses on medical imaging applications of deep learning, computational geometry, and surgical software innovation. Notable work includes computer-aided diagnosis systems for breast cancer using cytological images, 3D surgical planning algorithms, and motion tracking frameworks for ACL injury assessment. Education: PhD in Computing and Information Science, Queen's University (1999) MSc in Computing and Information Science, Queen's University (1994) MSc in Physics (General Relativity), Queen's University (1993) BSc in Astrophysics (Honours), Queen's University (1990) Research emphasizes interdisciplinary applications of AI in healthcare, including: Medical image segmentation using U-Net architectures Deep learning for tumor localization Kinect-based motion analysis systems Generative adversarial networks (GANs) for medical imaging Publications demonstrate contributions to both core computer science (mobile ad hoc networks, computational geometry) and clinical applications (surgical planning, cancer diagnosis). Active in industry collaboration through the ML-MVP lab, focusing on translating AI research into clinical tools.

• Deep Learning
• Medical Image Processing
• Computer-Aided Medical Diagnosis
• +5 more

Yan-Fei Liu is a Professor in the Department of Electrical and Computer Engineering at Queen’s University, Canada, with a focus on power electronics and high-efficiency power conversion systems. He holds positions as Vice President of Technical Operations for the IEEE Power Electronics Society and Editor of the IEEE Journal of Emerging and Selected Topics of Power Electronics (JESTPE). Dr. Liu’s education includes a B.Sc. and M.Sc. from Zhejiang University (China, 1984-1987) and a Ph.D. from Queen’s University (1994). He has authored over 280 technical papers, holds 61 U.S. patents, and contributed to IEEE standards. His research emphasizes GaN/SiC devices, high-efficiency converters, digital control for resonant systems, and EV power solutions. Key research areas include: - High-power-density DC-DC bus converters for data centers - Multi-phase interleaved LLC resonant converters - Digital control for current sharing and fast dynamic response - GaN-based AC-DC converters for USB PD applications - On-board EV DC-DC converters - Thermal management innovations like IMLC and PSI2 technologies His 15 most recent articles focus on advanced converter topologies (e.g., LLC, LCLC), digital control strategies, thermal packaging, and energy storage systems. Awards include IEEE Fellow (2013) and CAE Fellow (2018), alongside industry recognitions like Nortel’s Excellence Award (1997). Supervision includes four postdoctoral fellows (Wenbo Liu, Xiang Yu, Bo Sheng, Yang Chen). His lab develops next-generation power systems with a focus on miniaturization, efficiency, and sustainable energy applications.

• Power Electronics
• GaN and SiC Devices
• High Efficiency Power Converters
• +7 more

Dr. Patrick Palmer is a Professor and Graduate Student Supervisor in the School of Mechatronic Systems Engineering at Simon Fraser University (SFU), Vancouver, Canada. He holds a PhD from Imperial College London (UK) and an M.A. from the University of Cambridge (UK). Previously, he was a faculty member at the University of Cambridge and an Adjunct Professor at the University of British Columbia. He is an Emeritus Fellow of St Catharine's College, Cambridge. His research focuses on power semiconductor devices, wide bandgap technologies, sustainable energy systems, and high-power applications such as ship propulsion and electric vehicles. He teaches courses including MSE 353 (Power Electronics and Electrical Motors) and has over 100 peer-reviewed publications in power electronics and related fields. Education: Ph.D., Imperial College London, UK M.A., University of Cambridge, UK B.Sc. (Eng), Imperial College London, UK Research Interests: Power Semiconductor Devices (WBG devices) High-Power Converters Grid Integration for Renewable Energy Electric Vehicle and Ship Propulsion Systems Multi-Physics Simulation and Optimization Publications reflect a strong focus on semiconductor device modeling, high-power switching, and energy-efficient systems. He actively supervises graduate students in wide bandgap device applications and distributed power systems. He is affiliated with the Sustainable Energy Engineering program at SFU and has collaborated on industry 4.0 initiatives through SFU’s technical training programs. His work bridges academic research with practical engineering challenges in advanced manufacturing and smart grids.

• Power Electronics
• Sustainable Energy Systems
• Semiconductor Devices
• +5 more

Yaser M. Haddara is an Associate Professor in Electrical and Computer Engineering at McMaster University. His research focuses on semiconductor process modeling, SiGe/SiC device physics, and materials characterization for microelectronics applications. He holds a B.Eng. from Memorial University of Newfoundland, and M.Sc. and Ph.D. degrees from Stanford University. Research interests include: Semiconductor process physics and modeling SiGe interdiffusion and oxidation mechanisms Cobalt germanidation for contact formation Advanced materials integration for sensors TCAD-based device simulation Recent publications emphasize novel bonding techniques for sensor applications, semiconductor contact engineering, and nanoscale materials characterization. His work bridges fundamental materials science with microelectronics fabrication challenges. Dr. Haddara teaches courses in semiconductor device theory, electronic devices, and circuits. His educational research explores problem-based learning and engineering education methodologies.

• Microelectronics
• Semiconductor Devices
• Semiconductor Process Modeling
• +2 more

John Zheng Shen is a Professor and Director at the School of Mechatronic Systems Engineering at Simon Fraser University. He holds a Ph.D. in Electrical Engineering from Rensselaer Polytechnic Institute (1994) and has over 30 years of experience in power electronics, renewable energy systems, and semiconductor device research. His work bridges academia and industry through extensive patent development and conference leadership. Education Ph.D. in Electrical Engineering, Rensselaer Polytechnic Institute, USA (1994) M.S. in Electrical Engineering, Rensselaer Polytechnic Institute, USA (1991) B.S. in Electronic Engineering, Tsinghua University, China (1987) Shen's research focuses on power electronics , fault protection in microgrids , and transportation electrification . His recent publications emphasize DC circuit breaker design, hybrid converter optimization, and stability analysis in renewable energy systems. He has contributed to over 300 peer-reviewed papers and holds 18 U.S. patents. Shen has received multiple accolades including the NSF CAREER Award , IEEE Fellow , and Motorola Science and Technology Award . He has served in leadership roles for IEEE Power Electronics Society and organized over 30 international conferences.

• Power Electronics
• Power Semiconductor Devices
• Renewable Energy Systems
• +3 more