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Jing Jiang is a Professor in the Department of Electrical and Computer Engineering at the University of Western Ontario (Western University), where he holds the NSERC/UNENE Senior Industrial Research Chair in Nuclear Instrumentation and Control since 2003. He is a registered professional engineer (P. Eng.) in Ontario and a Fellow of multiple prestigious organizations including the Canadian Academy of Engineering, IEEE, and the Engineering Institute of Canada. Dr. Jiang's research focuses on: Fault-tolerant control of safety-critical systems Advanced control of nuclear power plants Integration of renewable energy resources in microgrids Instrumentation and control systems Advanced signal processing for fault diagnosis Industrial wireless sensor networks His educational background includes a Ph.D. from the University of New Brunswick (1989), MESc. from the University of New Brunswick (1984), and BESc. from Jiaotong University in Xi'an, China (1982). Dr. Jiang has been with Western University since 1991, progressing from Assistant Professor to Full Professor in 1999. Dr. Jiang has established the Control, Instrumentation and Electrical Systems (CIES) research group and two state-of-the-art laboratories: the NPP I/C research lab and the distributed generation (DG) research lab. His research has significant industry impact, particularly in nuclear power plant instrumentation and control systems, with collaborations with the Canadian nuclear industry and the International Atomic Energy Agency (IAEA). Professional Recognition Professional Engineers Gold Medal (2025, 2021) Canadian Association for Graduate Studies Award for Outstanding Graduate Mentorship (2021) Distinguished University Professor (2018) Fellow of IEEE (2017) RBC Top 25 Canadian Immigrant Award (2016) Fellow of Canadian Academy of Engineering (2010) Dr. Jiang has served on numerous technical committees including ISA 100.11a (Wireless Systems for Automation), ISA 67 (Nuclear Power Plant Standards), and IEC SC 45A (Nuclear Instrumentation). He has been actively involved with the IAEA as an expert consultant on various nuclear-related technical matters. He leads a research team consisting of post-doctoral fellows, research engineers, and graduate students. His NPP I/C lab includes a CANDU NPP simulator, physical simulators, various control systems (ABB, Siemens, DeltaV, Honeywell), safety PLC systems, and industrial wireless sensor networks. The DG lab features a reconfigurable microgrid with renewable energy sources, energy storage devices, and advanced power electronics control systems.

• Fault-tolerant control of safety-critical systems
• Advanced control of nuclear power plants
• Integration of renewable energy resources in microgrids
• +4 more

Shahrokh Valaee is a Professor and Associate Chair for Undergraduate Studies in the Edward S. Rogers Sr. Department of Electrical and Computer Engineering at the University of Toronto, part of the Faculty of Applied Science and Engineering. He founded and directs the Wireless and Internet Research Laboratory (WIRLab). Education: BSc and MSc in Electrical Engineering from University of Tehran PhD in Electrical Engineering from McGill University Research Interests: Focuses on wireless networks (vehicular/sensor networks, B5G/6G), signal processing (indoor localization, machine learning for medical imaging), and integrated sensing/communication. His work spans: Localization in GPS-denied environments Machine learning for healthcare with limited/imbalanced data Reconfigurable Intelligent Surfaces (RIS) and drone networks Publications: Recent articles (2014-2016) show strong focus on indoor localization techniques, vehicular network protocols, and network coding, with emerging trends in machine learning applications for wireless systems and healthcare. Awards: Connaught Award (2012, 2013) NSERC Discovery Accelerator Award (2010) MaRS Innovations cPOP Award (2012) IEEE Fellow (FIEEE) Engineering Institute of Canada Fellow (FEIC) Leadership: Advises graduate students at WIRLab, where research combines theory with practical implementation (GPU-based ML, Android localization). Manages projects in integrated sensing/communication, ML for health, and B5G networks. Labs/Teams: Directs WIRLab with focus on wireless signal processing, networking, and ML implementations. Current team includes postdocs and PhD students working on localization, B5G networks, and medical ML applications.

• Wireless Networks
• Signal Processing
• Vehicular Networks
• +4 more

Stephen Brown is a Professor at the University of Toronto within the Department of Electrical and Computer Engineering under the Faculty of Applied Science and Engineering. He earned his B.A.Sc and M.A.Sc in Electrical Engineering from the University of Toronto and New Brunswick, respectively, and a Ph.D. in Electrical Engineering from the University of Toronto (1992). His career spans over two decades in academia and industry collaboration. Education : B.A.Sc, University of New Brunswick M.A.Sc, University of Toronto Ph.D, University of Toronto Professor Brown’s research focuses on field-programmable gate arrays (FPGAs) , CAD algorithms , and computer architecture , with applications in machine learning and high-level synthesis . He is a principal investigator in the LegUp project , an open-source high-level synthesis framework that bridges software and hardware design. His work also extends to optimizing FPGA interconnect delays, physical synthesis, and logic block architectures. Key trends in his publications include advancements in high-level synthesis tools, FPGA architecture evaluation, and timing-driven design methodologies. His contributions often intersect with design automation , resource sharing , and embedded systems . Scientific Awards : NSERC 1992 Doctoral Prize Hart Professorship for Innovation in Teaching (2017) Multiple teaching excellence awards Best Paper Award at ICCAD 1990 Best Paper Award nomination at Canadian Conference on VLSI (1989) As Director of the FPGA University Program at Intel Corporation, he leads industry-academia initiatives. His teaching portfolio includes courses like ECE253 (Digital Logic) and ECE1733F (Switching Theory).

• Field-Programmable Gate Arrays (FPGAs)
• Computer Architecture
• CAD Algorithms
• +4 more

Dr. Jeff Lundeen is an Associate Professor in the Department of Physics at the University of Ottawa's Faculty of Science. His research focuses on experimental and theoretical quantum physics, particularly in photonics and quantum computing. He leads the Lundeen Lab, developing methods to manipulate single photons and entangled photon pairs for quantum logic, communication, and metrology applications. Research interests include experimental photonics, quantum-enhanced sensors, quantum metrology, and quantum optics. His work addresses challenges in quantum device development, such as ultra-thin imaging systems and quantum state tomography. Key contributions include direct measurements of quantum wave functions and density matrices, weak value amplification techniques, and space-compressing optics. His recent publications (2023–2025) explore neural adaptive quantum tomography, quantum metrology in noisy environments, and reconfigurable optical systems. Dr. Lundeen collaborates internationally on projects like quantum state estimation and photon pair generation in fibers. His lab emphasizes practical applications of quantum principles in sensors, communication, and imaging technologies.

• Quantum Optics
• Photonics
• Quantum Computing
• +3 more

Hina Tabassum is an Associate Professor at the Lassonde School of Engineering , York University, Canada, specializing in 5G/6G wireless communications and sensing applications. She was awarded the York Research Chair in 2023 for her work in 5G/6G-enabled mobility and sensing. Areas of Expertise: THz communications, WiFi sensing, and multi-band wireless systems Editorial Roles: Area Editor for IEEE OJCOMS and Associate Editor for multiple IEEE journals Research Focus : Ultra-reliable low-latency communication Reconfigurable intelligent surfaces (STAR-RIS) Machine-type communications Energy-efficient network design Scientific Recognition : Stanford's Top 2% World Researchers (2021-2024) Lassonde Innovation Early-Career Researcher Award (2023) N2Women Rising Stars (2022) Multiple IEEE Exemplary Editor/Reviewer Awards

• 5G/B5G wireless communications
• Massive MIMO
• Mm-wave communication
• +9 more

Octavia A. Dobre is a full Professor and Canada Research Chair Tier-1 in Ubiquitous Connectivity at Memorial University's Faculty of Engineering and Applied Science. Her research focuses on wireless, optical, and underwater communications, integrated sensing and communication systems, and AI-driven network innovations. She leads over 500+ journal/conference publications and holds positions like VP Publications of IEEE Communications Society. Education: Dipl.-Ing. and PhD from Politehnica University of Bucharest Roles: Editor-in-Chief of IEEE Open Journal of Communications Society, former Editor of IEEE Communications Letters Her work spans IEEE standards development, conference leadership (e.g., General Chair, Technical Chair), and industry partnerships with entities like Huawei and DRDC. Recognized globally with awards like IEEE Fellow (2020), Fellow of the Canadian Academy of Engineering (2021), and Top 2% Global Scientist (Stanford, 2020-2024). Her lab explores cutting-edge topics including quantum networks, reconfigurable surfaces, and 6G innovations.

• Wireless Communications
• Optical Communications
• Underwater Communications
• +4 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

Bhavin J. Shastri is an Assistant Professor in the Department of Physics, Engineering Physics and Astronomy at Queen's University in Canada. His research explores the physics of light for computing , pushing frontiers in information and signal processing through photonic computing and quantum/neuromorphic photonics . He is affiliated with the Centre for Nanophotonics and NUCLEUS , a pan-Canadian photonic computing program funded by NSERC CREATE, bridging artificial intelligence and quantum information . Canada Research Chair & Principal Investigator Faculty Affiliate at Vector Institute (2020-) Editorial Board Member of JPhys Photonics (2019-) Member of IEEE Photonics Society Technical Affairs Council (2019-) Visiting Researcher Scholar at Princeton University (2018-) Shastri Lab members have access to world-class shared facilities, including the Centre for Nanophotonics (CFI-Innovation Fund), Nanofabrication Kingston , the Centre for Advanced Computing , and the Digital Research Alliance of Canada . The lab takes an interdisciplinary approach combining nanophotonics with complex systems on emerging substrates. His research focuses on silicon photonics , nanophonic processors , and photonic integrated circuits with applications to deep learning , nonlinear programming , and quantum information science . His articles show consistent exploration of quantum photonic neural networks , photonic memory systems , and optical signal processing for machine learning and quantum technologies . 2020 IUPAP Young Scientist Prize in Optics 2014 Banting Postdoctoral Fellowship 2012 D. W. Ambridge Prize 2011 IEEE Photonics Society Graduate Student Fellowship 2011 NSERC Postdoctoral Fellowship Multiple Best Student Paper Awards Shastri's lab supervises Ph.D. candidates and postdoctoral fellows working on quantum photonics , neuromorphic computing , and photonic AI systems . His recent work includes photonic tensor cores for scientific computing , quantum photonic neural networks , and all-optical memory systems. Shastri Lab designs programmable nanophotonic processors with potential to outperform microelectronic processors in energy efficiency and computational speeds by seven and four orders of magnitude respectively. Their work spans from device design to system-level implementations in optical computing for machine learning and quantum information processing .

• Silicon Photonics
• Nanophotonics
• Photonic Integrated Circuits
• +5 more

Dr. Weihua Zhuang is a University Professor and University Research Chair in the Department of Electrical and Computer Engineering at the University of Waterloo. She holds prestigious fellowships from IEEE, Royal Society of Canada, and other organizations. Her research focuses on future communication networks, including 6G, network virtualization, autonomous vehicles, and smart grids. She has led groundbreaking work on MAC protocols like VeMAC for vehicular networks and has contributed extensively to AI-driven network management. Education : Doctorate in Electrical Engineering, University of New Brunswick, Canada (1993) M.Sc. and B.Sc. in Electrical Engineering, Dalian Maritime University, China Research Interests : Dr. Zhuang's work spans wireless networking, IoT, autonomous systems, and smart infrastructure. She explores solutions for network architecture evolution, machine learning applications in communication systems, and service customization for dynamic environments. Her recent projects include digital twin-driven networks, cross-modal transmission strategies, and AI-native slicing for 6G. Awards : Women's Distinguished Career Award (IEEE VTS, 2021) R.A. Fessenden Award (IEEE Canada, 2021) Fellowships from IEEE, RSC, CAE, EIC Grants & Professional Activities : She led the Tier I Canada Research Chair in Wireless Communication Networks (2010–2024) and has held roles such as IEEE VTS President (2023–2024). Her grants include the NSERC Discovery Accelerator Supplements and PREA awards. She edits journals like IEEE Transactions on Vehicular Technology and co-chairs major conferences. Labs & Teams : Her research group focuses on network architecture, AI-driven protocols, and vehicular communication. Collaborations include projects on 6G, satellite-terrestrial integration, and edge computing for autonomous systems.

• Wireless Communications
• Networking Algorithms
• Internet of Things (IoT)
• +7 more

Gary Grewal is an Associate Professor at the School of Computer Science , University of Guelph. His research focuses on developing intelligent Computer-Aided Design (CAD) tools for Field Programmable Gate Arrays (FPGAs) , integrating classical optimization techniques with machine learning and deep learning to address challenges in placement and routing for heterogeneous devices. He has received the Michal Servit Award (2017, 2018) for outstanding FPGA research and the University of Guelph Faculty Association Distinguished Professor Award for Excellence in Teaching (2017) . Grewal has held NSERC Discovery Grants annually from 1999 to 2023. Co-founder of the Guelph FPGA CAD Group Key collaborator with institutions like Ryerson University , University of Toronto , and University of British Columbia His work extends to health technology through the IronTracker mobile app , developed with Andrew Hamilton-Wright and students (A. D'Angelo, J. Carter, F. Liu, R. Pattison) to manage Hereditary Hemochromatosis (HHC) . The app, available in four languages and adopted in 100+ countries, was recognized at Parliament Hill and the Ontario Legislature. Scientific Awards : Michal Servit Award (2018) Michal Servit Award (2017) Distinguished Professor Award for Teaching (2017) NSERC Discovery Grants (1999-2023) His recent publications highlight trends in machine learning for FPGA CAD , including reinforcement learning for partitioning, deep learning for congestion estimation, and adaptive algorithms for placement. Grewal remains active in teaching courses like Discrete Optimization (CIS*6070) and Digital Systems I (CIS*3120).

• Computer-Aided Design (CAD) Tools
• Field Programmable Gate Arrays (FPGAs)
• Machine Learning
• +5 more

Dr. Kenneth Kent is a Professor in the Department of Computer Science at the University of New Brunswick (UNB), where he has served for 14 years. He is the Director of the Information Technology Centre (ITC) and heads the Reconfigurable Computing Group. He also serves as Director of the IBM Centre for Advanced Studies - Atlantic and holds an Honorary Professorship at Hochschule Bonn-Rhein-Sieg. His research focuses on hardware/software co-design, reconfigurable computing, virtual machines, and embedded systems. Dr. Kent earned his PhD and Master of Science in Computer Science from the University of Victoria. His work has led to over 100 refereed publications and the supervision of 70+ graduate students. He co-founded WEnTech Solutions Inc., a software firm addressing waste-to-energy optimization. His awards include the IBM Faculty Fellow of the Year and Project of the Year (as Principal Investigator) for contributions to the J9 Java Virtual Machine. His articles span FPGA acceleration, compiler optimization, cloud storage security, and IoT intrusion detection. Recent work emphasizes energy-efficient Node.js systems and advancements in CAD tools like VTR 9 for FPGA architecture. Dr. Kent’s advising and grants include leading the IBM CAS Atlantic and directing industry-academia collaborations. He has pioneered technologies such as the Eclipse OpenJ9 JVM and the CephArmor storage interface, balancing academic research with commercial innovation. He leads the Reconfigurable Computing Group at UNB and collaborates with the Institute for Visual Computing in Germany. His research bridges theoretical computing and practical applications, with a focus on scalable systems and embedded technologies.

• Hardware/Software Co-Design
• Virtual Machines
• Reconfigurable Computing
• +5 more

Stephanie Posthumus serves as Associate Professor at McGill University, specializing in contemporary French and Québécois literature through the lens of ecocriticism, animal studies, and plant studies. Her research interrogates representations of the non-human across European literary traditions while examining cultural specificities in environmental discourse. Professor Posthumus develops French-specific ecocritical frameworks by engaging with thinkers like Guattari ( écosophie ), Latour ( nature-culture ), and Serres ( contrat naturel ), arguing against universal ecocritical models. Her work spans three interconnected domains: constructing French ecocriticism through monographs like French Écocritique (2017); analyzing animal representations via co-edited volumes including French Thinking about Animals (2015); and pioneering plant studies in Québécois contexts through recent works like Entre les feuilles (2024). She further bridges digital and environmental humanities through SSHRC-funded platform development. Her publication trajectory (2016-2024) reveals intensifying focus on vegetal agency and digital methodologies within ecocritical practice. Articles consistently address cultural differences in environmental representation, with increasing attention to sensory plant studies and posthumanist reconfigurations of human/non-human boundaries across French and Québécois literary landscapes. Professor Posthumus leads the Digital Environmental Humanities initiative, which functions as a research hub featuring digital exhibits, analytical tools like topic modeling, and pedagogical resources. This SSHRC Connections grant project (2013) exemplifies her commitment to interdisciplinary knowledge mobilization through digital innovation. She currently directs collaborative research networks connecting Canadian environmental humanities scholars with digital humanities practitioners, fostering experimental approaches to ecological representation through multimodal projects examining plant intelligence and sensory environmental engagement.

• Ecocriticism
• French Literature
• Animal Studies
• +3 more

Sean Victor Hum is a full-time Professor and the Eugene V. Polistuk Chair in Electromagnetic Design within the Edward S. Rogers Sr. Department of Electrical and Computer Engineering at the University of Toronto's Faculty of Applied Science and Engineering. He joined the institution in 2006 and leads the RADIANCE laboratory, focusing on cutting-edge electromagnetic design and antenna systems research. His academic background includes a BSc (1999), MSc (2001), and PhD (2006) in Electrical Engineering from the University of Calgary. During graduate studies (1997–2006), he collaborated with TRLabs on wireless and radio-over-fibre projects, establishing his technical foundation before transitioning to academia. Research interests center on advanced electromagnetic surfaces (e.g., metasurfaces for RF control), reconfigurable antennas (enabling adaptive wireless systems), and space antenna applications (for satellite communications). These areas reflect his commitment to solving real-world challenges in aerospace and telecommunications, with work bridging theoretical electromagnetics and practical hardware implementation. Hum's scientific recognition includes: Northrop Frye Faculty Award (2024) IEEE AP-S R. W. P. King Award (2015, 2017) Ontario Early Researcher Award (2012) Gordon R. Slemon Teaching Award (2011) Early Career Teaching Award (2011) Multiple Departmental Teaching Awards (2007–2017) ASTech Leaders of Tomorrow Award (2006) As an active advisor, he mentors graduate students in the RADIANCE laboratory, though specific names are unlisted. His professional service includes editorial roles at IEEE Transactions on Antennas and Propagation (2010–2016) and IEEE Antennas and Propagation Magazine (2018–present), alongside chairing the IEEE AP-S Education Committee. Grant details are absent, but the Ontario Early Researcher Award implies successful funding acquisition. The RADIANCE laboratory serves as his primary research hub, driving innovation in electromagnetic surface technologies and space antenna systems for next-generation communication networks.

• Electromagnetics
• Antenna Design
• Reconfigurable Antennas
• +4 more

Shawki M. Areibi is a Professor and Area Head of Engineering Systems and Computing in the School of Engineering at the University of Guelph. His research focuses on VLSI Physical Design Automation, Reconfigurable Computing Systems, and Hardware/Software Co-design for Embedded Systems. He leads efforts in developing advanced algorithms for CAD tools, FPGA design, and machine learning applications. His work addresses challenges in VLSI layout optimization, parallel processing, and embedded systems design. Affiliations: AI Affiliated Faculty, Area Heads, Computer Engineering, Engineering Systems and Computing Research. Research Interests: VLSI Circuit Layout, Reconfigurable Computing, Machine Learning, and FPGA-based Accelerators. His research integrates meta-heuristics like Genetic Algorithms and Tabu Search to solve complex optimization problems. He has contributed to hardware acceleration frameworks for machine learning algorithms and embedded systems, with applications in domains like signal processing and data mining. His recent work includes congestion-estimation models for modern FPGAs and analytic placement tools for ultra-scale architectures. Publications span VLSI design, reconfigurable computing, and machine learning, emphasizing algorithmic innovation and hardware-software co-design. His students have explored topics ranging from FPGA placement to domain adaptation in remote sensing. Grants and Advising: Advises graduate and undergraduate students on projects involving FPGA acceleration, machine learning, and embedded systems. His labs focus on developing next-generation CAD tools and hardware accelerators.

• VLSI Physical Design Automation
• Reconfigurable Computing Systems
• Hardware/Software Co-Design for Embedded Systems
• +7 more

Shahin Kamali is an Associate Professor in the Department of Electrical Engineering & Computer Science at York University's Lassonde School of Engineering. Previously, he served as an Assistant Professor at York University (2022-2024) and the University of Manitoba (2017-2022), where he continues to hold an Adjunct Professor position. He completed his Ph.D. in Computer Science at the University of Waterloo in 2014 and was a postdoctoral fellow at MIT's CSAIL lab from 2015-2017. Dr. Kamali received his B.Sc. from the University of Tehran and his M.Sc. from Concordia University, both in Computer Science. He has earned teaching certifications including the Kaufman Teaching Certificate Program from MIT and the Certificate in University Teaching from the University of Waterloo. His research focuses on algorithms' design, analysis, and limitations, with particular emphasis on online problems such as bin packing, paging, list update, and k-Server. His work extends to big-data applications of algorithms in data compression, graph partitioning, resource allocation in the cloud, and algorithmic aspects of blockchain technology. His recent publications (2023-2025) demonstrate a strong focus on learning-augmented algorithms, online computation with predictions, and novel applications in blockchain and graph theory. His research has been supported by multiple NSERC grants since 2010, with recent projects investigating models, applications, and limitations of online algorithms. He has successfully supervised numerous graduate students and serves on various committees related to algorithms conferences and academic governance. University of Waterloo Doctoral Thesis Completion Award (2014) University of Waterloo Mathematics Graduate Experience Award (2008) Dr. Kamali teaches advanced courses in algorithms and data structures and is scheduled to teach Design and Analysis of Algorithms (EECS 3101) in Fall 2025 and Advanced Data Structures (EECS 4101/5101) in Winter 2026. He is actively involved in organizing major conferences, including CCCG and WADS 2025 at York University.

• Algorithms Design
• Algorithms Analysis
• Online Algorithms
• +9 more