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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

Dr. Mohamed Hassan is an Assistant Professor in the Department of Electrical & Computer Engineering at McMaster University. His research focuses on Cyber-Physical Systems-on-Chip (iCPSoCs) , emphasizing design, analysis, and deployment for critical domains like Unmanned Aerial Vehicles (UAVs), Autonomous Cars, and healthcare systems. Key research areas include hardware/software codesign, real-time systems, embedded systems, and security. He teaches courses such as COMPENG 4DM4 (Computer Architecture) and COMPENG 4DS4 (Embedded Systems) . His work bridges foundational theories (e.g., scheduling, AI) with infrastructure-level innovations (e.g., compilers, memory systems). The Fanos Research Lab he leads explores interdisciplinary solutions for efficient CPS-on-Chip, addressing challenges in multicore predictability, memory latency, and edge computing. Recent contributions include frameworks for explainable memory-centric workloads and techniques to accelerate TinyML inference. Dr. Hassan serves on Technical Program Committees for conferences like RTAS and OSPERT, highlighting his role in advancing real-time embedded systems research.

• Computer Architecture
• Embedded Systems
• Real-Time Systems
• +12 more

Mohammad Hossein Zarifi is an Associate Professor in the School of Engineering at the University of British Columbia's Okanagan campus, specializing in Electrical Engineering. He serves as a graduate student supervisor and directs the Okanagan Microelectronics and Gigahertz Applications (OMEGA) Lab. Education: Post-Doctoral Fellowship - University of Alberta PhD – Electrical and Computer Engineering, University of Tabriz MSc – Electrical and Computer Engineering, University of Tabriz BSc – Electrical and Computer Engineering, University of Tabriz Dr. Zarifi's research focuses on state-of-the-art sensors with emphasis on microwave resonators, high-speed and low-power analog circuit design, and analog-to-digital converters for various applications. His specific research projects include Passive Planar Microwave Resonator for Oil Sand Applications, NanoTube Integrated Passive Planar Microwave Resonator, Microelectro mechanical Devices (MEMS), Integrated Circuit Design (VLSI-Analog), and Integrated Circuit for Implantable Biomedical Applications. Dr. Zarifi has received the 2015 CMC-NRC first place award for innovative microwave sensors. He is a senior member of the IEEE Solid-State Circuits Society and the IEEE Circuits and Systems Society, and serves as a reviewer for several academic journals and conferences. As an educator, he teaches Introduction to VLSI Systems (ENGR466), Microwave Systems (ENGR470), and System Dynamics (APSC246). His work bridges theoretical concepts with practical applications in sensor technology and circuit design, particularly for biomedical and communication systems. Dr. Zarifi leads the OMEGA Lab, which focuses on advancing microelectronics and gigahertz applications through innovative research in microwave sensors and integrated circuit design.

• Microwave Sensors
• Analog Circuit Design
• Analog-to-Digital Converters
• +5 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

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

Gabriela Nicolescu is a Professor at Polytechnique Montréal , affiliated with the Department of Computer Engineering and Software Engineering and the LAMA-WeST (Web, Semantics and Text) research group. Her work focuses on design methodologies , programming , and security for advanced systems integrating 3D SoCs , optical networks , and heterogeneous technologies . Education: B.Sc. and M.Sc., Politehnica Bucharest Ph.D., Institut National Polytechnique de Grenoble (2002), awarded Best Thesis in Microelectronics Research Interests include cybersecurity for avionics , security by design for cyber-physical systems , advanced programming models for multi-core systems , and modeling/simulation of heterogeneous systems . She has contributed to fields like optical networks on chip , real-time embedded systems , and edge computing security . Recent Publications highlight her leadership in all-optical neural networks , formal verification , and security for avionic systems . Her work spans machine learning-driven intrusion detection , photonic integrated circuits , and ontology-based cybersecurity frameworks . Scientific Awards: Best Thesis in Microelectronics, Institut National Polytechnique de Grenoble (2002) Student Supervision encompasses doctoral and master’s theses in areas such as multi-core RTOS , security in autonomous systems , AI-based penetration testing , and performance optimization in avionics . Current advisees include Felipe Magalhaes , Julien Carayol , and Kacem Khaled , while completed supervision includes A. S. Shahnejat Bushehri and Rami Zrelli . She is actively involved in collaborative research projects addressing national cybersecurity priorities and safer aircraft design , as highlighted in media outlets like The Globe and Mail and Science-Presse .

• Cybersecurity for Avionics
• Security by Design for Cyber-Physical Systems
• Advanced Programming Models for Avionic Multi and Many-Core Systems
• +11 more

Professor Vincent Gaudet is a Professor in the Department of Electrical and Computer Engineering at the University of Waterloo. He holds a Ph.D. (2003) and M.A.Sc. (1997) from the University of Toronto and a B.Sc. (1995) from the University of Manitoba. His research focuses on high-performance microelectronic circuits for information processing, including stochastic computing, error-correcting codes (LDPC/Turbo), and biomedical applications such as neural recording systems. He has held visiting roles at Tohoku University and Northeastern University, and has served as Chair of the IEEE Technical Committee on Multiple-Valued Logic (2016-2017). Education: B.Sc. (1995), M.A.Sc. (1997), Ph.D. (2003) in Electrical Engineering Editorial Roles: IEEE Transactions on Circuits and Systems, ISSCC Technical Editor His research interests span VLSI design, low-power circuits, biomedical instrumentation, and machine learning applications in medical imaging. He has pioneered FPGA implementations of stochastic decoders and AI-driven diagnostic tools for PET imaging. Notable awards include the Petro Canada Young Innovator Award (2009) and Engineering Society Teaching Excellence Award (2015). Teaching focuses on digital/analog circuit design (ECE 240/340/445/637), with contributions to the 8th edition of the textbook Microelectronic Circuits . He has held leadership roles including Department Chair (2016-2020) and Associate Chair for Undergraduate Studies (2013-2016). Grants & Labs: Active in microsystems design and biomedical engineering research groups Patents: Includes circuit design innovations for LDPC decoders and biomedical instrumentation

• VLSI Circuits
• Analog Circuits
• Mixed-Signal Circuits
• +9 more

Hossein Kassiri is an Associate Professor in the Department of Electrical Engineering and Computer Science at York University. He directs the Microelectronic Prototyping and Test (MPT) Center and the Integrated Circuits and Systems Lab (ICSL). Additionally, he co-founded BrainCom Inc. in 2015 and serves as its Chief Technology Officer, focusing on implantable brain-computer interfaces. B.Sc. in Electrical and Computer Engineering from University of Tehran (2008) M.A.Sc. in Electrical and Computer Engineering from McMaster University (2010) PhD in Electrical and Computer Engineering from University of Toronto (2015) His research focuses on Analog and Mixed Signal IC Design , Low Power Implantable/Wearable Sensory Microsystems , and Wirelessly-Powered Medical Implants . He explores Physiological Signal Processing and VLSI Implementation for applications in neurological disorder monitoring and treatment. Scientific Recognition : IEEE ISCAS Best Paper Award (2016) Ontario Brain Institute Entrepreneurship Award (2015) Heffernan Commercialization Award (2014) CMC Brian L. Barge Award (2012)

• Analog and Mixed Signal IC Design
• Low Power Implantable/Wearable Sensory Microsystems
• Physiological Signal Processing
• +2 more

Prof. Mohamed Ibrahim Youssef Elmasry is a Professor in the Department of Electrical and Computer Engineering at the University of Waterloo, where he has been since 1974. He is the founding Director of the VLSI Research Group and holds cross-appointments with the Dept. of Computer Science (1982-1987). His work spans digital integrated circuits, low-power VLSI design, and microelectronics. B.Sc. (1965), M.A.Sc. (1970), Ph.D. (1974) in Electrical Engineering from Cairo University and University of Ottawa Research Interests: Over 35 years of leadership in digital integrated circuits, focusing on high-speed/low-voltage CMOS, BiCMOS design, and FPGA optimization. His work has driven advancements in low-power electronics and design automation. Scientific Awards: Fellow of IEEE (1988) Fellow of Canadian Academy of Engineering (1997) Fellow of Royal Society of Canada (1998) Fellow of Engineering Institute of Canada (2007) NSERC/BNR Research Chair in VLSI Design (1986-1991) Grants & Contracts: Over 40 funded projects from NSERC, ITRC, CMC, and industry partners like Texas Instruments and IBM (1974-2007). Total grants exceed $1.6 million. Professional Activities: Founded Canadian Conference on VLSI (1983), Canadian Microelectronics Corporation (1982), and co-founded MICRONET. Chaired multiple IEEE committees and served as Director of UW's VLSI Research Group since 1981. Labs & Teams: Originator and Director of Waterloo VLSI Group (1981-present), which became part of the University of Waterloo's Institute for Computer Research. Led VLSI Research Review events (1982-1997).

• Digital Integrated Circuits
• VLSI Design
• Low-Power Electronics
• +3 more

Chan Carusone is a Professor in the Edward S. Rogers Sr. Department of Electrical & Computer Engineering at the University of Toronto . He graduated from the University of Toronto's Engineering Science program in 1997, earning the Governor General’s Silver Medal. He completed his PhD in 2002 and joined the faculty immediately. He is a co-author of the influential textbooks Analog Integrated Circuit Design and Microelectronic Circuits , the latter being the best-selling engineering textbook of all time. Research Interests: His research focuses on nanoscale planar and FinFET CMOS integrated circuits , addressing challenges in high-speed digital communication , imaging , and machine learning . His work spans chip-to-chip communication, analog-to-digital conversion, optical transceivers, and high-speed clocking systems. Scientific Awards & Memberships: IEEE Fellow IEEE Solid-State Circuits Society Distinguished Lecturer (2015–2017) Multiple Best Paper Awards at IEEE conferences (DesignCon, Custom Integrated Circuits Conference, European Solid-State Circuits Conference, Compound Semiconductor Integrated Circuits Symposium) Canada Research Chair in Integrated Systems (2002–2007) Academic Leadership: He has served on editorial boards of top journals (IEEE Solid-State Circuits Letters, IEEE Transactions on Circuits and Systems II, IEEE Journal of Solid-State Circuits) and program committees for prestigious conferences (International Solid-State Circuits Conference, VLSI Circuits Symposium, Custom Integrated Circuits Conference). He is currently Editor-in-Chief of IEEE Solid-State Circuits Letters.

• Integrated Circuits
• Digital Communication
• Machine Learning
• +3 more

Claude Thibeault is a Professor in the Department of Electrical Engineering at École de technologie supérieure (ÉTS), with a Ph.D. from Polytechnique Montréal and a B.Eng. from UQAC. His research focuses on microelectronics , integrated circuit testing , and fault tolerance , particularly in aerospace and FPGA systems. He leads the LaCIME lab, which specializes in communications and microelectronic integration. His work spans radiation effects on circuits , asynchronous design , and test methodologies . Recent publications analyze cosmic radiation impacts on FPGA architectures and knowledge-based diagnostic systems . He supervises numerous graduate students in projects related to hardware acceleration , chaotic communication systems , and power-aware testing . LaCIME emphasizes industry collaboration and technology transfer , with research axes in intelligent systems and connectivity . The lab actively recruits students with backgrounds in electrical or microelectronics engineering.

• Microelectronics
• Integrated Circuit Testing and Diagnosis
• Fault Tolerance
• +6 more

Aziz Oukaira is a Part-Time Professor in the School of Electrical Engineering and Computer Science at the University of Ottawa’s Faculty of Engineering. He obtained his Ph.D. in Electrical Engineering with excellent distinction from the Université du Québec en Outaouais in 2020, followed by an NSERC-THALES postdoctoral fellowship at École polytechnique de Montréal. He currently holds an Associate Professor position in the Department of Computer Science and Engineering at the Université du Québec en Outaouais, while simultaneously teaching at uOttawa. Education: Ph.D. in Information Sciences and Technologies (Electrical Engineering), Université du Québec en Outaouais, 2020 Research Focus: Dr. Oukaira’s research spans emerging quantum technologies, microelectronic system design, and thermal management of advanced microsystems including VLSI, SoC, SoP and SiP. He actively investigates embedded systems, FPGA-based rapid prototyping, MEMS fabrication, semiconductor device modeling, and the intersection of machine learning with hardware design. His work also covers theoretical computer science, programming language theory, process control, and fluid-dynamics-informed thermal modeling. Scientific Distinctions: NSERC-THALES Postdoctoral Researcher, PolySTIM Neurotech Lab, 2020–2022 IEEE Senior Member (CSS, RAS) Member, Ordre des ingénieurs du Québec Teaching & Service: At uOttawa he currently delivers senior undergraduate courses in computer architecture and random signals & systems. Office hours are held weekly on Wednesday mornings in room 139 Louis-Pasteur.

• Quantum Science & Technology
• Microelectronics
• Thermal Modeling of Microsystems
• +11 more

Andrew H. Rawicz is a Professor in the School of Engineering Science at Simon Fraser University. His career spans decades with expertise in reliability physics, biomedical engineering, and optical device design. He holds a Ph.D. in Physics from Gliwice, Poland (1980) and an M.Sc. in Physics from Krakow, Poland (1973). Education : Ph.D. (Physics, Gliwice, 1980), M.Sc. (Physics, Krakow, 1973) Areas of Expertise : Biomedical engineering, reliability physics, optical devices, assistive technologies His research focuses on reliability physics and engineering , particularly in biomedical applications such as implantable devices and diagnostic systems. He has extensively studied optical device engineering, rehabilitation technologies, and materials processing in microelectronics, with recent work in nonlinear optics and transducer design. Publications include studies on glomerular membrane optimization for artificial kidneys and eye-gaze tracking systems for ALS patients. Professor Rawicz teaches courses in biomedical engineering and reliability prediction, emphasizing hands-on engineering projects. His work bridges theoretical physics with practical medical device development, contributing to independent living systems and assistive engineering solutions.

• Biomedical Engineering
• Reliability Physics and Engineering
• Optical Device Engineering
• +9 more

Rafael Kleiman is a Professor and Department Chair of Engineering Physics at McMaster University. He leads the Lab for Advanced Photovoltaic Research and focuses on solar energy, quantum materials, and satellite-based optical communications. His work bridges photovoltaics innovation with sustainable energy solutions, emphasizing multijunction solar cells, III-V/Si integration, and advanced characterization techniques. Education: Ph.D. (Cornell University), M.Sc. (Cornell University), S.B. (MIT). He teaches ENGPHYS 2QM3: Introduction to Quantum Mechanics . Research Interests: Photovoltaics (III-V/Si multijunctions, light trapping), quantum materials for computing, and satellite optical communications. Key projects include low-cost high-efficiency solar cells and next-gen photonic devices. His lab develops novel materials and architectures for energy and space applications. Grants & Recognition: Secured NSERC Alliance Grants (2024) and a NRC award (2021) for quantum and satellite communication projects. His work advances Canada's digital infrastructure and sustainable energy goals. Lab & Teams: Directs the Lab for Advanced Photovoltaic Research, fostering interdisciplinary collaboration in energy and micro-nano systems. Active in McMaster's microelectronics and photonics research clusters.

• Solar Energy
• Photovoltaics
• Photonics Engineering
• +5 more

Dr. Fayez Gebali is a Professor in the Department of Electrical and Computer Engineering at the University of Victoria. He holds a BSc from Cairo University, another BSc from Ain Shams University, and a PhD from the University of British Columbia. His research focuses on computer communications, digital VLSI design, signal processing, and cybersecurity. He is particularly known for contributions to networks-on-chips, hybrid communication systems (e.g., FSO/RF), and cryptographic solutions for IoT devices. Education: BSc, Cairo University BSc, Ain Shams University PhD, University of British Columbia His research interests span computer architecture , communication networks , and secure embedded systems . Recent work emphasizes digital health applications, including AI-driven medical imaging (e.g., TongueTransUNet for tongue contour segmentation) and zero-trust frameworks for healthcare data protection (ZTCloudGuard). He has also published extensively on IoT security, cryptographic algorithms, and hardware acceleration techniques. Notable contributions include pioneering work on networks-on-chips (NoC) optimization, hybrid FSO/RF transmission systems, and efficient modular multipliers for constrained devices. His publications cover over 15 years of impactful research, with a focus on bridging theoretical advancements and practical implementations in high-performance computing and cybersecurity.

• Computer Communications
• Digital VLSI Design
• Digital Signal Processing
• +10 more