جست‌وجوی استاد و پژوهشگر

Mea Wangمشاهده پروفایل

استاد

• Networking systems and algorithms
• Multimedia networking
• Cloud computing
• +۴ مورد دیگر

Professor Mea Wang is a faculty member in the Department of Computer Science at the University of Calgary, affiliated with the Faculty of Science. She leads the NetMedia.Sys lab, focusing on bridging computing and networking in systems like multimedia and cloud environments. Her work emphasizes enhancing Quality-of-Service (QoS) for providers and Quality-of-Experience (QoE) for users. Education: Bachelor of Computer Science (Honours), University of Manitoba (2002) Master of Applied Science (MASc), University of Toronto (2004) Doctor of Philosophy (PhD), University of Toronto (2008) Research Interests: Networking systems, multimedia streaming, cloud computing, distributed systems, extended reality (XR), data science, and accessibility technologies for neurodivergent populations. Her lab develops open-source tools like iStream and collaborates with industry partners such as Cybera and AT&T. Recent Research Directions: Digital accessibility for physical spaces, AR/VR systems for nonspeaking autistic individuals, and optimization of multimedia distribution in heterogeneous networks. Her work spans over 60 publications in top conferences/journals, with a focus on practical implementations and industry impact. Awards: University of Calgary Research Excellence Chair (2024) Parex Innovation Fellowship (2023) Order of the University of Calgary (2022) PEAK Scholar Award (2019) Labs & Teams: Director of the NetMedia.Sys lab, which houses advanced infrastructure including server clusters, IoT devices, and extended reality gear. Current projects include digital twins, immersive education tools, and SDN-based streaming optimizations.

• Microelectromechanical Systems (MEMS)
• Radio Frequency Circuits
• Integrated Circuit Design
• +۷ مورد دیگر

Frédéric Nabki is a Professor in the Department of Electrical Engineering at École de technologie supérieure (ÉTS) in Montreal, Canada. Holding a B.Ing. and Ph.D. from McGill University, he maintains an active research program focused on microelectromechanical systems, RF circuits, and integrated photonics. His work bridges fundamental research with practical applications in avionics, wireless communications, and sensing systems. Dr. Nabki's research interests span microelectromechanical systems (MEMS), radio frequency integrated circuits, sensor design, microfabrication techniques, and optical communications. His laboratory, LACIME (Communications and Microelectronic Integration Laboratory), focuses on three primary research axes: Sensors, Networks and Connectivity; Innovative materials and advanced manufacturing; and Quantum Engineering. His work encompasses analog and RF microelectronics, MEMS and MOEMS devices, microfabrication, system-on-chip design, integrated sensors and actuators, interface circuits for sensors, wireless and optical communication circuits, energy harvesting microsystems, silicon photonics, and embedded systems for avionics applications. Analysis of Dr. Nabki's recent publications reveals a strong focus on MEMS technology with applications spanning multiple domains. His work demonstrates expertise in piezoelectric MEMS devices, optical switching solutions using silicon nitride photonics, ultrasonic transducers for sensing applications, and RF front-ends for avionics. The research increasingly incorporates machine learning techniques for signal processing and fault detection, showing an interdisciplinary approach that combines hardware design with advanced algorithms. His work maintains strong ties to practical applications, particularly in aerospace, industrial monitoring, and biomedical imaging. Dr. Nabki has successfully supervised numerous graduate students through their master's and doctoral research. His supervision portfolio includes over 30 theses covering diverse topics from MEMS resonators and energy harvesters to optical switching systems and avionics RF front-ends. His research has been supported through significant funding that has enabled the filing of 48 patents, numerous peer-reviewed publications (116 journal articles), and multiple book chapters. The extensive patent portfolio demonstrates the translational nature of his research with practical commercial applications. Dr. Nabki leads the LACIME research laboratory, which focuses on the integration of communication systems with microelectronic technologies. The laboratory maintains strong collaborations with industry partners, particularly in the aerospace sector, and has developed specialized facilities for MEMS design, fabrication, and testing. Current research directions include quantum-based security for connected objects, advanced MEMS for avionics applications, and silicon photonics for optical switching solutions.

Aziz Oukairaمشاهده پروفایل

استاد

• Quantum Science & Technology
• Microelectronics
• Thermal Modeling of Microsystems
• +۱۱ مورد دیگر

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.

James Elderمشاهده پروفایل

استاد

• Computer Vision
• Human Vision
• Artificial Intelligence
• +۴ مورد دیگر

James Elder is a Professor at York University, holding a joint Lassonde School of Engineering/Faculty of Health Tier I Chair. He is affiliated with the Centre for Vision Research, the VISTA program, and the Centre for AI & Society. Electrical Engineering & Computer Science Psychology His research integrates computer vision and biological vision studies, focusing on developing algorithms through understanding human visual processing. Key areas include computer vision , 3D shape perception , and AI applications in urban mobility . He leads projects like AttentiveVision and Agile AI-Powered Robotics . Recent publications reveal critical differences between human and AI visual processing, including Monocular Depth Estimation and Shape Frequency Analysis studies. His work has been recognized with the Premier’s Research Excellence Award and Young Investigator Award from the Canadian Image Processing and Pattern Recognition Society. York Research Chair CFI Exceptional Opportunities Grant recipient ORF Research Excellence Grant recipient Professor Elder supervises graduate students including Maria Koshkina, Kumar Vaibhav Jha, and Nizwa Javed. His lab collaborates with institutions like Justus Liebig University Giessen and the Vector Institute for AI, with applications in hockey analytics and autonomous systems .

Wouter Deconinckمشاهده پروفایل

دانشیار

• Subatomic Physics
• Electroweak Sector
• High Energy Physics
• +۳ مورد دیگر

Wouter Deconinck is an Associate Professor in the Department of Physics and Astronomy at the University of Manitoba, part of the Faculty of Science. His research focuses on precision measurements of the electroweak sector of the Standard Model using electron accelerators and neutron facilities. He holds a M.Sc. in Engineering Physics and emphasizes bridging physics principles to engineering applications, particularly in innovation commercialization. His research group actively participates in global experiments such as MOLLER and Qweak, and he contributes to software frameworks like Key4hep for future colliders. Education details are not explicitly provided in the text. Research interests include short-range correlations, parity-violating asymmetries, and two-photon exchange mechanisms. His work spans technical innovations in detector design (e.g., HV-MAPS detectors) and AI applications for particle identification (e.g., AI4EIC initiatives). Notable collaborations include the Jefferson Lab (JLab), European research networks, and international software development projects. Publications span high-impact areas like precision electroweak measurements, software stack development for future colliders, and workforce training in experimental physics. While no specific grants or awards are listed, his contributions to projects such as Key4hep and MOLLER reflect significant academic engagement. He leads a team focused on advancing equity in physics education and research, addressing challenges in harassment and support structures. His work also extends to interdisciplinary applications, such as accelerometer-based shark behavior studies, illustrating the breadth of his research interests. Collaborative laboratories and teams include the Qweak and MOLLER experimental collaborations, with a focus on preparing for next-generation facilities like the Electron-Ion Collider (EIC).

M. Anwar Hasanمشاهده پروفایل

استاد

• Cryptography
• Computer Security
• Embedded Systems
• +۴ مورد دیگر

M. Anwar Hasan is a Professor in the Department of Electrical and Computer Engineering at the University of Waterloo, where he has been a faculty member since January 1993. He was promoted to Associate Professor with tenure in 1998 and to full Professor in 2002. At Waterloo, he is also a member of the Centre for Applied Cryptographic Research, the Center for Wireless Communications, and the VLSI Research group. He previously spent 1992 as a post-doctoral fellow at the University of Victoria. Dr. Hasan received his B.Sc. and M.Sc. degrees in electrical and electronic engineering and computer engineering, respectively, from the Bangladesh University of Engineering and Technology in 1986 and 1988. He earned his Ph.D. in electrical engineering from the University of Victoria in 1992. His research focuses on cryptographic computations and embedded systems, dependable and secure computing, computer and network security, and computer arithmetic and architecture. His work has particularly emphasized efficient implementations of cryptographic algorithms, especially elliptic curve cryptography, with attention to side-channel attack resistance and fault tolerance. He has made significant contributions to finite field arithmetic, which forms the mathematical foundation for many cryptographic systems. Dr. Hasan's recent publications demonstrate continued leadership in cryptography, with work spanning traditional cryptographic implementations, post-quantum cryptography (particularly isogeny-based approaches), blockchain applications, secure multi-party computation, and hardware optimization for cryptographic operations. His research maintains a strong focus on both theoretical foundations and practical implementations. Raihan Memorial Gold Medal President's Research Scholarship (awarded four times at University of Victoria) Faculty of Engineering Distinguished Performance Award (2000) Outstanding Performance Award (2004) As a member of the Centre for Applied Cryptographic Research, Dr. Hasan has led numerous research projects in cryptographic hardware and software implementations. He served as an associate editor of the IEEE Transactions on Computers from 2000 to 2004 and has been involved in program and executive committees for several conferences. His research has been supported by various grants that have enabled him to supervise numerous graduate students and postdoctoral fellows, though specific grant details are not provided in the source material. Dr. Hasan's laboratory work has focused on implementing efficient and secure cryptographic systems, particularly examining side-channel attacks and developing countermeasures. His research team has produced numerous technical reports through the Centre for Applied Cryptographic Research (CACR) at Waterloo, demonstrating a sustained research program in cryptographic engineering.

Dan Centeaمشاهده پروفایل

استاد

• Automotive Engineering
• Electric and Hybrid Vehicles
• Industry 4.0 Technologies
• +۳ مورد دیگر

Dr. Dan Centea is a Professor at the W Booth School of Engineering Practice and Technology, McMaster University. He holds an associate membership in Mechanical Engineering. His expertise lies in automotive and vehicle engineering technology, with a focus on electric/hybrid vehicles, Industry 4.0 integration, and experiential learning frameworks. He teaches courses such as AUTOTECH 4AE3 (Internal Combustion Engines), AUTOTECH 4AT3 (Electric/Hybrid Vehicle Design), and MECH ENG 760 (Electric Drive Vehicles). Dr. Centea leads initiatives in the SEPT Learning Factory, integrating IoT, IIoT, and cyber-physical systems for Industry 4.0 education. His research emphasizes tracking/traceability technologies, automated indoor gardens, and autonomous vehicle education frameworks. He has developed innovative teaching strategies including problem-based learning (PBL) for finite element analysis and collaborative industry projects. His work spans over 25 years, with notable contributions to curriculum design for Industry 4.0 and smart systems. He actively collaborates with SMEs to implement Industry 4.0 technologies in manufacturing environments. His educational innovations include blended learning approaches and distance lab infrastructure using IoT boards.

Philip Fergusonمشاهده پروفایل

دانشیار

• Satellite guidance and control
• CubeSats
• Drone control and navigation
• +۳ مورد دیگر

Dr. Philip Ferguson is an Associate Professor of Mechanical Engineering and Magellan Industrial Research Chair at the University of Manitoba's Price Faculty of Engineering. He leads the Space Technology and Advanced Research Laboratory (STARLab) and collaborates with the Centre for Earth Observation Science (CEOS). His work focuses on making aerospace technology accessible through low-cost, reliable solutions for Arctic communities and search-and-rescue operations. Dr. Ferguson holds a PhD from MIT and has industry experience with Magellan Aerospace and PrecisionHawk Inc. Education: PhD in Aerospace Engineering, MIT (2006) SM in Aerospace Engineering, MIT (2003) B.A.Sc. in Engineering Science (Aerospace Option), University of Toronto (2000) Dr. Ferguson's research spans satellite guidance, drone navigation, Arctic remote sensing, and machine learning. His projects include CubeSats for climate change monitoring, drones for search-and-rescue, and airships for Arctic communications. He emphasizes interdisciplinary collaboration to address challenges in Northern Canada and Indigenous communities. His recent articles explore fault detection in spacecraft systems, drone-based payload control, and innovative navigation algorithms. He actively recruits graduate students interested in advancing aerospace accessibility. Labs/Teams: STARLab (founded 2014), CEOS collaborations, and industry partnerships with Magellan Aerospace.

Karim Karimمشاهده پروفایل

استاد

• X-ray Imaging Technology
• Semiconductor Materials
• Medical Diagnostic Devices
• +۳ مورد دیگر

Karim Karim is a Professor at the University of Waterloo and serves as Associate Vice-President of Commercialization and Entrepreneurship. His research focuses on advanced X-ray imaging technologies, semiconductor materials, and radiation detection systems. He leads innovations in X-ray detector design, with applications in biomedical imaging and medical diagnostics. Dr. Karim’s work emphasizes materials like TlBr and amorphous selenium, alongside advancements in phase-contrast imaging and detector miniaturization. His research spans semiconductor characterization, detector optimization, and portable diagnostic devices. Key areas include improving temporal performance of detectors, developing high-resolution grating systems, and applying machine learning to image retrieval. Dr. Karim’s contributions address challenges in kidney stone analysis, computed tomography, and point-of-care diagnostics. Publications highlight breakthroughs in multi-layer grating fabrication, dual-energy detectors, and monolithic CMOS-integrated systems. His work bridges material science and engineering, advancing medical imaging capabilities through interdisciplinary approaches.

Oleg Michailovichمشاهده پروفایل

دانشیار

• Medical Imaging
• Biomedical Engineering
• Signal Processing
• +۳ مورد دیگر

Oleg Michailovich is an Associate Professor at the University of Waterloo, specializing in medical imaging technologies. His work focuses on advancing techniques in MRI, ultrasound, and computational image processing. He leads research in areas such as diffusion MRI optimization, ultrasound deconvolution, and deep learning applications in medical imaging. His research interests include structural similarity optimization, medical image segmentation, and the development of algorithms for accelerated imaging. Notable contributions include methods for high-fidelity diffusion MRI reconstruction and the integration of physics-informed learning in medical imaging systems. Michailovich’s publications span topics like neurodegeneration assessment in Alzheimer’s disease, breast MRI segmentation, and ultrasonic signal processing. His work emphasizes interdisciplinary approaches, combining signal processing, machine learning, and biomedical engineering to solve critical imaging challenges.

Pierre McKenzieمشاهده پروفایل

دانشیار

• Finite Automata
• Boolean Circuit
• Formal Language
• +۳ مورد دیگر

Pierre McKenzie is an Associate Professor in the Department of Computer Science and Operations Research at the University of Montreal, part of the Faculty of Arts and Sciences. He is a member of the LITQ (Laboratoire d'informatique théorique et quantique). His research focuses on computational complexity theory, finite automata, Boolean circuits, formal languages, and logic. He has advised numerous graduate and master's students, including Hugo Côté, Nathan Grosshans, and Michael Blondin. His work has been supported by grants from the Natural Sciences and Engineering Research Council of Canada (CRSNG), particularly in projects like 'Lower bounds and derandomizations for branching programs' (2018–2026). Research Interests: Computational complexity hierarchy separations Branching programs and circuit lower bounds Automata theory and its connections to circuit complexity Algorithmic and complexity aspects of counter systems Key Projects: Lower bounds and derandomizations for branching programs (Lead researcher, 2018–2026) THE COMPUTATIONAL COMPLEXITY OF POLYNOMIAL TIME PROBLEMS (Lead researcher, 2012–2019) Labs/Teams: Active member of LITQ, contributing to theoretical computer science research.

Swati Mishraمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Artificial Intelligence
• Machine Learning
• +۵ مورد دیگر

Dr. Swati Mishra is an Assistant Professor at McMaster University's Faculty of Engineering, Department of Computing and Software, specializing in Human-Computer Interaction , Machine Learning , and Explainable AI . With 9 years of industry experience and a PhD in Information Science from Cornell University, she focuses on designing interactive AI systems for healthcare, computational journalism, and museum engagement. PhD: Cornell University (Bloomberg Data Science Fellowship) MSc: Computer Science (Cornell), Human-Computer Interaction (Indiana University) Her research explores Machine Teaching , Concept-Based Explanations , and Human-Centered AI , with publications in ACM SIGCHI, CSCW, UMAP, and IEEE VIS. Her lab develops tools to bridge human cognitive models with AI systems, emphasizing transparency and usability. Recent projects include: Risk Analysis Dashboard for FDA clinical trial documentation Gestural interaction systems for museums Interactive Transfer Learning tools She has received a Best Paper Award at ACM SIGCHI and held industry roles in AI product development. Contact: mishrs23@mcmaster.ca | Personal Website | Office: ABB C-531

Xiaodai Dongمشاهده پروفایل

استاد

• Wireless Communications
• Signal Processing
• 5G Technology
• +۳ مورد دیگر

Xiaodai Dong is a Professor in the Department of Electrical and Computer Engineering at the University of Victoria. She holds a Canada Research Chair (Tier II) in Ultra-Wideband Communications (2005-2015). Her research focuses on wireless communications, signal processing, and control systems, with expertise in 5G, mmWave, IoT, and machine learning applications. Education: BSc in Information and Control Engineering, Xi'an Jiaotong University (1992) MSc in Electrical Engineering, National University of Singapore (1995) PhD in Electrical and Computer Engineering, Queen's University (2000) Research Interests: Dr. Dong's work spans high-capacity wireless systems, including 5G/6G technologies, mmWave communications, and smart grid solutions. She pioneers machine learning applications in channel prediction and localization. Her contributions include advancements in UWB systems, energy harvesting, and secure wireless protocols. Professional Activities: Senior Member of IEEE Associate Editor for IEEE Transactions on Vehicular Technology and other journals Key Contributions: Her publications address hybrid MIMO systems, UAV network feasibility, and indoor localization via recurrent neural networks. She has developed hardware designs for 5G user equipment and contributed to terahertz communication models.

Stéphane Coulombeمشاهده پروفایل

استاد

• Video Processing
• Video Compression
• Immersive Video
• +۴ مورد دیگر

Stéphane Coulombe is a Professor in the Department of Software Engineering and IT at École de technologie supérieure (ÉTS). He holds a B.Eng. from Polytechnique Montréal and a Ph.D. from INRS Telecommunications. His research focuses on video processing, compression, immersive video systems, and reliable video transmission. He co-leads the Summit Tech Research Chair in Immersive and Interactive Video, aiming to advance immersive video technologies through compression optimization, AI integration, and low-latency transmission methods. Key collaborations include the LABMULTIMEDIA and SYNCHROMÉDIA research laboratories. Research interests span video quality assessment, error correction, and real-time video delivery. Notable achievements include the 2012 Best Paper Award and the 1997 Director General’s Award of Excellence. He has advised numerous doctoral and master’s students, contributing to breakthroughs in HEVC transcoding, deep learning-based error correction, and immersive video standards. Publications highlight advancements in no-reference quality metrics, CRC-based error correction, and 360-degree video compression. Over 50 patents reflect his work on video encoding, transcoding systems, and adaptive multimedia messaging. Current projects address MPEG immersive video standards, VR streaming, and AI-driven video analytics.

Babak Esfandiariمشاهده پروفایل

استاد

• Artificial Intelligence
• Agent-Based Systems
• Network Computing
• +۶ مورد دیگر

Babak Esfandiari is a Professor at the Faculty of Engineering and Design , Department of Systems and Computer Engineering , Carleton University. His research focuses on Agent-based systems , Network computing , Artificial intelligence applications , Object-oriented design , and Network management . He leads the NM-AI Research Lab and contributes to Sustainable Energy initiatives. Ph.D. from Université Montpellier II (France) Email: babak@sce.carleton.ca Office: MacKenzie Building, Room 4478 His research bridges Artificial Intelligence , Network Engineering , and Software Engineering , with applications in Mobile Robotics , Digital Twin Emulation , and Network Optimization . He has developed frameworks for BDI Agents , Trust Management , and Network Simulation , as evidenced by his publications. He teaches advanced courses such as SYSC 5103 Software Agents , SYSC 3110 Software Development Lab , and SYSC 4806 Software Engineering Lab . His work has influenced interdisciplinary domains including Energy Policy and Human-Agent Interaction .