Find Academic Supervisors

Mona Tokarek LaFosseView profile

Assistant Professor

• New Testament Studies
• Early Christian History
• Cultural Anthropology
• +3 more

Dr. Mona Tokarek LaFosse serves as Assistant Professor of New Testament and Sacred Literature Studies (Teaching Stream) at the University of Toronto's Faculty of Divinity through a joint appointment at Emmanuel College and Victoria College. She teaches across undergraduate, basic-degree, and graduate programs at Victoria University, specializing in New Testament studies and early Christian history through interdisciplinary lenses. Her educational background includes a PhD from the University of Toronto's Department for the Study of Religion (2011), MA in Religion and Culture from Wilfrid Laurier University (2001), Honors BA in Anthropology from the University of Waterloo (1998), and Biblical Studies certificate from Columbia Bible College (1994). She previously taught at Martin Luther University College, Wilfrid Laurier University, Huron University College, and the University of Toronto. Dr. LaFosse approaches New Testament scholarship through cultural anthropology, storytelling theory, and age studies. Her research examines early Christian communities through the lens of age structure, intergenerational dynamics, and oral storytelling practices. She explores how life course stages shaped social relationships in the ancient Mediterranean, particularly focusing on 1 Timothy's treatment of age hierarchies. Her innovative teaching methodology emphasizes 'embodied story'—integrating performance and physical engagement with texts influenced by Indigenous storytelling traditions. Her recent publications reveal a strong focus on aging in early Christianity, with 2024 articles examining age demographics and comparative gerontology. She also maintains active scholarship in oral tradition studies, particularly regarding the Gospel of Mark and Shepherd of Hermas, while contributing to academic discourse through society leadership and book reviews. Dr. LaFosse holds significant leadership roles including current service on the Canadian Society for Patristic Studies Nominating Committee (2025–26) and co-chairing the Society of Biblical Literature's Social-Scientific Criticism of the New Testament section (2025–27). She actively participates in the Canadian Society of Biblical Studies, Society of Biblical Literature, and KW Biblical Colloquium. Her distinctive teaching portfolio includes innovative courses like 'Zombies, the Bible and the End of the World' and 'Gospel of Mark as Embodied Story,' reflecting her commitment to interdisciplinary engagement with biblical texts through contemporary cultural frameworks and physical performance.

George KarakostasView profile

Associate Professor

• Scientific Computing
• Optimization
• Theoretical Computer Science
• +3 more

Dr. George Karakostas is an Associate Professor in the Department of Computing and Software at McMaster University. His research focuses on Scientific Computing, Optimization, and Theoretical Computer Science, with a particular emphasis on algorithms, scheduling, and resource management in data centers and mobile networks. He is actively involved in advising graduate students and contributes to cutting-edge research in digital twins, edge computing, and approximation algorithms. Dr. Karakostas holds a PhD (implied by title) and has authored numerous publications addressing challenges in workload distribution, thermal management, and task scheduling under deadline constraints. His work often intersects with practical applications in IoT, wireless networks, and energy-efficient infrastructure. Key research trends include optimizing resource allocation in distributed systems, developing efficient offloading strategies for mobile devices, and leveraging digital twins for system performance enhancement. Despite the volume of his publications, the focus consistently revolves around theoretical rigor paired with real-world applicability. Dr. Karakostas is affiliated with the Digital & Smart Systems research cluster and teaches advanced courses such as CAS 744: Advanced Topics in Design of Algorithms (Theory). His contact information includes karakos@mcmaster.ca and a faculty profile page at www.cas.mcmaster.ca/~gk.

Christian JacobView profile

Professor

• Algorithms gleaned from nature
• Biocomputing
• Bioinformatics
• +6 more

Christian Jacob is a Professor in the Department of Computer Science within the Faculty of Science at the University of Calgary . He holds a B.S. in Computer Science and a Doctor of Engineering Science from Erlangen University . His research focuses on nature-inspired algorithms, biocomputing, and agent-based simulations applied to biological systems and education. Key initiatives include the LINDSAY Virtual Human Project , which uses immersive virtual reality to explore human anatomy and physiology. He contributes to the university's strategic priorities in Digital Worlds and Health and Life initiatives. His work integrates evolutionary algorithms, cellular automata, and swarm intelligence into creative and medical applications. Notable achievements include the ASTech Award (2015) from Alberta Science and Technology. His projects emphasize interactive education through tools like LeukemiaSIM , Eukaryo , and the Giant Walkthrough Gut . Jacob also explores visualization techniques, such as evoVision3D and LifeBrush , to enhance scientific understanding. His research bridges computational methods with real-world applications in healthcare, architecture, and game design. Collaborative efforts include developing agent-based models for immune systems, nervous responses, and crowd behavior. Jacob's work spans interdisciplinary fields, blending computer science with biology, engineering, and the arts.

Bhavin J. ShastriView profile

Assistant Professor

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

Alexandra FedorovaView profile

Professor

• Systems Software
• Memory and Storage Management
• Accelerator-Centric Computing
• +4 more

Dr. Alexandra Fedorova is a Professor in the Department of Electrical and Computer Engineering at the University of British Columbia (UBC), with an Associate Member role in the Computer Science department. She leads the Systopia systems research group, focusing on system software design, memory/storage management, and accelerator-centric computing. Her work emphasizes performance optimization, energy efficiency, and hardware-software co-design. She holds a PhD from Harvard University (2006), where she researched operating system scheduling under Margo Seltzer. Prior to UBC, she was an Associate Professor at Simon Fraser University (2006–2015). Fedorova is a recipient of the Alfred P. Sloan Research Fellowship and the Anita Borg Early Career Award. She consults for MongoDB's storage engine team and collaborates with industry on storage and performance challenges. Her research spans tools like Non-sequitur for program trace visualization, studies on storage-class memory (e.g., Optane), and frameworks for GPU acceleration. Recent efforts include Sunstone (spatial accelerator scheduling) and ExtMem (application-aware memory management). Her work bridges low-level systems with high-performance computing needs. Key contributions include optimizing NUMA systems, improving storage engine performance, and exploring processing-in-memory architectures. Fedorova’s projects often involve open-source collaboration, reflected in her GitHub repositories such as vividperf and perf-logging , which support performance analysis tools.

Guillaume BourqueView profile

Professor

• Bioinformatics
• Computational Genomics
• Comparative Genomics
• +5 more

Guillaume Bourque is a Professor in the Department of Human Genetics at McGill University's Faculty of Medicine. He serves as an Investigator at the Victor Phillip Dahdaleh Institute of Genomic Medicine and as the Scientific Director of the Canadian Centre for Computational Genomics (C3G). His laboratory is based at 740 Dr Penfield Ave, Room 6103, Montréal, Québec, Canada, H3A 1A4, where he leads research in computational genomics and bioinformatics. Professor Bourque's research focuses on understanding mammalian genomes using comparative genomic and epigenomic analyses. His lab investigates the evolution of regulatory sequences , the role of transposable elements in gene regulation , and the impact of genome rearrangements in evolution and cancer . His team develops computational methods and resources for the functional annotation of genomes with special emphasis on sequencing-based assays including ChIP-seq, RNA-Seq, exome- and whole-genome sequencing, and single-cell analysis. The lab's work involves examining billions of DNA base pairs to interpret how variation impacts basic biology and disease. Recent publications (2024-2025) demonstrate Bourque's leadership in pangenome graph construction , transposable element analysis , epigenomic profiling , and cancer genomics . His work spans multiple disciplines from basic genome evolution to clinical applications in cancer and infectious disease. Notable projects include the development of tools like DeepPolisher for genome assembly polishing and contributions to understanding the genomic basis of long COVID. Bourque's laboratory is actively recruiting postdocs and graduate students with backgrounds in programming or statistics. The lab emphasizes quantitative approaches to biology, requiring applicants to have experience in quantitative biology as a plus. His collaborative work extends across multiple institutions and international consortia, reflecting the interdisciplinary nature of modern genomic research.

Alla ShefferView profile

Professor

• Geometry Processing
• Computer Graphics
• Discrete Geometry
• +7 more

Alla Sheffer is a Professor and Associate Head of Faculty Affairs in the Department of Computer Science at the University of British Columbia, Faculty of Science. She is affiliated with multiple research centers including CAIDA (Centre for Artificial Intelligence Decision-making and Action), the Institute of Applied Mathematics, and ICICS (Institute for Computing, Information and Cognitive Systems). B.Sc., Hebrew University, Jerusalem (1991) M.Sc., Hebrew University, Jerusalem (1995) Ph.D., Hebrew University, Jerusalem (1999) Postdoctoral Research Associate, University of Illinois, Urbana-Champaign (1999-2001) Assistant Professor, Technion, Israel (2001-2003) Assistant Professor, University of British Columbia (2003-2008) Associate Professor, University of British Columbia (2008-present) Professor Sheffer's research focuses on geometry processing, addressing algorithmic challenges in digital shape modeling and manipulation. Her work primarily deals with discrete geometry representations, specifically meshes (polygonal model representations), with applications in computer graphics and computer-aided engineering. She utilizes tools from computational and differential geometry, discrete mathematics, and graph theory to generate, manipulate, and edit discrete geometric models. Her research spans virtual and augmented reality, visual computing, and 3D modeling, with significant contributions to sketch-based modeling, mesh processing, and cloth simulation. The 15 most recent publications reveal a consistent research trajectory in geometry processing, with recent work focusing on vector sketch processing, VR drawing tools, and advanced mesh manipulation techniques. Her work demonstrates a strong connection between human perception and computational methods, particularly in the interpretation of freehand sketches and the generation of perceptually-accurate geometric representations. The recurring themes across her publications include flowlines, curve networks, mesh parameterization, and the application of perceptual studies to improve algorithmic outputs. Eurographics Fellow ACM Fellow IEEE Fellow Royal Society of Canada Fellow SIGGRAPH Academy Member UBC Killam Research Prize NSERC Discovery Accelerator Supplement IBM Faculty Award Professor Sheffer has supervised numerous doctoral and master's students, with recent theses focusing on geometric mesh processing, vector sketch interpretation, VR drawing tools, and garment modeling. Her research group maintains strong connections with industry through various partnerships and has received substantial grant funding to support their innovative work in geometry processing and computer graphics. She teaches courses in computer graphics, geometric modeling, and video game programming, contributing significantly to both undergraduate and graduate education in computer science.

Kenneth KentView profile

Professor

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

Paul CisekView profile

Professor

• Cognitive Neuroscience
• Computational Neuroscience
• Motor System
• +5 more

Paul Cisek is a Full Professor in the Department of Neuroscience at the Faculty of Medicine, University of Montreal. His research laboratory focuses on understanding how the brain controls behavior through the integration of decision-making and motor planning processes in the cerebral cortex. His work challenges traditional models that treat perception, decision-making, and action as separate serial processes. Dr. Cisek received his Baccalauréat in Computer Science from Rochester Institute of Technology (1991), followed by a Doctorat in Neurosciences and Physiologie from Boston University (1997). He completed postdoctoral training at both Université de Montréal and Queen's University (1996-2001). His research program centers on developing a theoretical framework describing how the brain interacts with the external world, with specific focus on how decision-making and motor planning processes are integrated in the primate cerebral cortex. Through his 'affordance competition hypothesis,' Cisek proposes that the brain operates through parallel processes where potential actions compete for selection rather than following a serial perception-decision-action model. His lab conducts behavioral, neurophysiological, and computational research, often using primate models to study neural mechanisms of real-time decision-making. The analysis of Dr. Cisek's recent publications reveals a strong focus on evolutionary perspectives in neuroscience, neural mechanisms of decision-making under time pressure, and the integration of biomechanical constraints in action selection. His work bridges cognitive neuroscience, motor control, and computational modeling to develop a more comprehensive understanding of how the brain selects and executes actions in dynamic environments. Dr. Cisek has been continuously funded by major Canadian research agencies including CIHR, NSERC, and FRQS since at least 2002 for his interdisciplinary studies of decision-making and motor planning. His current projects include 'Neural mechanisms of decision-making during natural interactive behavior' (2025-2031) and 'EthoLab: A platform for neurophysiological studies of natural behavior' (2025-2028). As an educator, Dr. Cisek has supervised numerous graduate students to completion of their degrees and currently teaches courses including NSC-3003 (Perception, action et neurocomputation), NSC-3084 (Neurosciences computationnelles), and NSC-6084 (Neurosciences computationnelles). His lab currently includes doctoral students, master's students, and postdoctoral fellows working on various aspects of decision neuroscience. Dr. Cisek is affiliated with several research groups including SNC (Groupe de recherche sur la signalisation neurale et la circuiterie), GRSV (Groupe de recherche en sciences de la vision), and CIRCA (Centre interdisciplinaire de recherche sur le cerveau et l'apprentissage). His laboratory develops sophisticated experimental platforms for studying neural mechanisms of decision-making, including virtual reality environments for neurophysiological studies of natural behavior.

• Operational Research
• Logistics
• Stochastic Optimization
• +3 more

Michel Gendreau is a Full Professor in the Department of Mathematics and Industrial Engineering at Polytechnique Montréal. He holds a B.Com. from McGill University, and both an M.Sc. and Ph.D. from the University of Montreal. His research focuses on operational research with applications in logistics, transportation, energy systems, and telecommunications. He is affiliated with several prestigious research centers including the Institute for Data Valorization (IVADO), the Trottier Energy Institute (IET), and the Interuniversity Research Center on Enterprise Networks, Logistics and Transport (CIRRELT). Professor Gendreau's research interests span operational research, with particular emphasis on stochastic optimization methods applied to transportation and logistics problems, energy systems management, and telecommunications. His work often addresses real-world challenges through mathematical modeling and algorithm development, with applications ranging from bike-sharing systems to emergency response planning and electricity grid management. The analysis of his recent publications reveals a strong focus on vehicle routing problems under uncertainty, maintenance optimization, and the integration of stochastic programming with machine learning techniques for improved decision making. Professor Gendreau has received numerous prestigious awards recognizing his contributions to the field of operations research. In 2022, he was named a Fellow of the International Federation of Operational Research Societies (IFORS). In 2010, he was awarded Fellow status by INFORMS (Institute for Operations Research and the Management Sciences). Most notably, in November 2015, he received the Robert M. Herman Lifetime Achievement Award from the Transportation Science and Logistics Society of INFORMS, which is considered the most prestigious distinction for operational researchers working in logistics and transportation. Throughout his career, Professor Gendreau has supervised 25 doctoral students and 18 master's students, contributing significantly to the development of the next generation of operations research experts. His research has been supported by numerous grants from organizations including NSERC (Natural Sciences and Engineering Research Council of Canada), with expertise recognized in Operational Research and Management Science (NSERC subject 1601) and Logistics (NSERC subject 1603). Professor Gendreau is actively involved in several research teams and laboratories, particularly those focused on data valorization, energy systems, and transportation logistics. His current work continues to push the boundaries of stochastic optimization and its applications to complex real-world problems, with recent publications addressing challenges in urban transportation, energy management, and emergency response systems.

Marc ParizeauView profile

Professor

• Pattern Recognition
• Evolutionary Computation
• Neural Networks
• +6 more

Marc Parizeau is a Professor at Université Laval, affiliated with the Faculty of Science and Engineering and the Department of Electrical and Computer Engineering. His office is located at PLT-1138-B, and he can be reached at (418) 656-2131 ext. 407912 or via email at marc.parizeau@gel.ulaval.ca. Academic Background: Ph.D., École Polytechnique de Montréal, 1992 M.Sc.A., École Polytechnique de Montréal, 1987 B.Eng., École Polytechnique de Montréal, 1984 His research focuses on Pattern Recognition, Evolutionary Computation, Neural Networks, 2D and 3D Computer Vision, and parallel and distributed systems . He integrates these areas to develop scalable computational models and tools for intelligent systems. His work bridges theoretical AI with practical software engineering for high-performance environments. His teaching includes courses such as Programmation parallèle et distribuée (GIF-4104) , Réseaux de neurones (GIF-21410) , and various algorithm and programming courses in Python and engineering. His recent publications reflect a strong trend in distributed evolutionary algorithms and concurrent programming frameworks, particularly using Python-based tools like DEAP and SCOOP, emphasizing scalability and real-world deployment. Scientific Leadership and Software Contributions: Director, Calcul Québec Creator, Distributed Evolutionary Algorithms in Python (DEAP) Creator, Scalable Concurrent Operations in Python (SCOOP) Contributor, Portable Agile Classes in C++ (PACC) Contributor, Open Beagle Marc Parizeau has supervised multiple collaborative projects and students, though specific names are not listed. He has secured research support through leadership roles and software development. His work is supported by institutional and provincial computing infrastructure initiatives. Conference Involvement: Organizing Committee, High Performance Computing Symposium (HPCS'08) International Workshop on Frontiers in Handwriting Recognition (IWFHR'02) International Conference on Pattern Recognition (ICPR'02) Vision Interface (VI'99) Conférence Internationale sur l'Écrit et le Document (CIFED'98) He leads the Computer Vision and Systems Laboratory at Université Laval, a research group focused on intelligent systems, machine learning, and high-performance computing applications in vision and optimization.

• Stochastic Optimization
• Chance Constrained Optimization
• Distributionally Robust Optimization
• +9 more

Professor Abdel Lisser is affiliated with CentraleSupélec, where he conducts research in Gif-sur-Yvette, France. His work spans multiple disciplines including stochastic optimization, game theory, and machine learning. Research Interests: Stochastic Optimization, Chance Constrained Optimization, Distributionally Robust Optimization, Stochastic Game Theory, Physics-Informed Neural Networks. His recent publications focus on integrating stochastic programming with deep learning frameworks to address complex optimization problems under uncertainty. Key areas include Markov Decision Processes, joint chance constraints, and applications in autonomous vehicle control and network design. In 2025, he published on single-controller stochastic games, convex approximations for Markov processes, and physics-informed neural networks for nonlinear equations. 2024 contributions include distributionally robust Markov decision processes, neurodynamic optimization, and CNN-based equilibrium prediction in games. Email: abdel.lisser@l2s.centralesupelec.fr Institution: L2S, CentraleSupélec Location: 3 rue Joliot Curie, 91190 Gif-sur-Yvette, France

Robson De GrandeView profile

Associate Professor

• Vehicular Networks
• Intelligent Transportation Systems
• Cloud Computing and Networking
• +5 more

Robson E. De Grande is an Associate Professor in the Department of Computer Science at Brock University, Canada. He holds a PhD from the University of Ottawa (2012) and BSc/MSc degrees from the Federal University of São Carlos, Brazil. His research focuses on vehicular networks, intelligent transportation systems, distributed systems, and cloud computing. He serves on program committees for conferences like DS-RT, MobiWac, and MSWiM, and has organized multiple workshops and special sessions. Education: PhD in Computer Science, University of Ottawa, Canada (2012) MSc and BSc in Computer Science, Federal University of São Carlos, Brazil (2006, 2004) Research Interests: Vehicular Networks (5G, Handover Management) Edge Computing and IoT Performance Modeling/Simulation High-Performance Distributed Systems Intelligent Transportation Systems Publications: Over 100 peer-reviewed articles across journals like IEEE Transactions on ITS, Elsevier Internet of Things, and conferences like IEEE ICC and ACM MobiWac. Recent work emphasizes ML-driven vehicular network optimization and distributed simulation frameworks. Teaching: Teaches Advanced Computer Networks (COSC 4P14), Parallel Computing (COSC 3P93), and graduate-level Mobile Cloud Computing courses. Research Team: Supervises PhD/MSc students and undergraduate researchers in topics like vehicular edge computing, traffic prediction, and simulation systems.

Debajyoti MondalView profile

Associate Professor

• Information visualization
• Graph drawing
• Computational geometry
• +6 more

Dr. Debajyoti Mondal is an Associate Professor in the Department of Computer Science at the University of Saskatchewan. His research focuses on algorithms, network visualization, computational geometry, and visual analytics. He holds a PhD from the University of Manitoba and has held postdoctoral positions at the University of Waterloo and Microsoft Research. Mondal's work spans interdisciplinary applications, including collaborations with Saskatoon Transit and academic medicine. He has authored over 100 peer-reviewed publications and secured grants such as NSERC Discovery, CFI, and Canada First Research Excellence grants. His awards include the 2023 New Scholar RSAW Award. Education: Ph.D. in Computer Science, University of Manitoba, 2016 MSc in Computer Science, University of Manitoba, 2012 BSc. Engg. in Computer Science, Bangladesh University of Engineering and Technology, 2009 Research Interests : Algorithms, graph drawing, computational geometry, visual analytics, and interdisciplinary applications in software engineering, transportation, and bioinformatics. His lab (VGA Lab) develops visualization systems for big data analysis. Key Contributions : Advanced theoretical foundations in computational geometry and graph drawing, developed practical visualization tools, and contributed to climate-related projects like Global Water Futures. Grants & Awards : NSERC Discovery Grant (2018-2024) CFI Grant (2021-2025) Microsoft Research Internship (2015-2016) New Scholar RSAW Award (2023) Labs/Teams : Leads the VGA Lab, collaborating with interdisciplinary teams on projects like Clone-World (software clone visualization) and SET-STAT-MAP (mixed data visualization).

Mohammed KhalidView profile

Professor

• FPGA-based Systems
• Network-on-Chip (NoC) Architectures
• Signal Processing Hardware
• +3 more

Prof. Mohammed Khalid is a Professor in the Department of Electrical and Computer Engineering at the University of Windsor. He specializes in FPGA-based systems, network-on-chip architectures, and hardware acceleration for signal processing applications. His leadership roles include serving on the executive committee of IEEE Canada. His research focuses on optimizing cryptographic hardware, automotive embedded systems, and efficient algorithm implementations on FPGAs. Key contributions include advancements in PUF-based security mechanisms, high-speed elliptic curve processors, and FPGA-accelerated machine learning algorithms. He has led projects in automotive radar systems and AUTOSAR configuration tools. His work emphasizes practical applications of hardware-software co-design principles. Research Highlights : Development of novel FPGA architectures for real-time signal processing Innovative approaches to resource-efficient cryptographic hardware Pioneering work on hybrid NoC architectures for multi-FPGA systems Awards : IEEE Windsor Section Award (2019) for group leadership Best Student Paper Award (2024) for supervised research by Mohit Sharma Prof. Khalid's 150+ publications span FPGA design methodologies, adaptive signal processing, and embedded systems security. His research group collaborates with industry partners to advance automotive electronics and IoT applications.