Find Academic Supervisors

• Music Cognition
• Auditory Perception
• Medical Alarm Design
• +4 more

Dr. Michael Schutz is a Professor of Music Cognition/Percussion at McMaster University's School of the Arts, serving as University Scholar and founding director of the MAPLE Lab. His research bridges music performance/perception, focusing on auditory perception, medical alarm design, and cross-modal sensory integration. Supported by grants from CFI, NSERC, SSHRC, NIH, and others, his work appears in journals like Psychology of Music and British Journal of Anaesthesia . He actively contributes to the Percussive Arts Society and Society for Music Perception and Cognition, co-authoring influential textbooks and leading national percussion networks. Recent studies explore alarm redesign using musical principles and historic shifts in emotional expression across musical eras. His research has been featured on CBC's Quirks & Quarks , On The Nature of Things , and in textbooks including Cognitive Psychology and The Psychology of Music in Multimedia . He directs the McMaster Institute for Music and the Mind, emphasizing interdisciplinary connections between music, mind, and technology. Grants: CFI, NSERC, SSHRC, NIH, Early Researcher Award (Ontario) Key Roles: MAPLE Lab Director, SMPC Board Member (2014–2017) Public Engagement: Over 60 media features, 30+ invited performances, and collaborative research with Vanderbilt University Teaching includes courses on music cognition, percussion ensembles, and laboratory methods. His work has influenced anti-racist practices in music cognition research and ergonomic design of medical interfaces.

Mehmet Akif DemirciogluView profile

Assistant Professor

• Public Policy
• Public Sector Innovation
• Digital Ethics
• +4 more

Mehmet Akif Demircioglu is an Assistant Professor at the School of Public Policy and Administration, specializing in public sector innovation, digital transformation, and governance. His research focuses on the intersection of technology, policy design, and organizational behavior within public institutions. Key themes include digital ethics, demographic shifts impacting public innovation, and leadership strategies in crisis contexts like VUCA environments. His work spans global comparative studies, emphasizing Asia-Pacific contexts and European case analyses. Methodologically, he employs computational policy analysis, mixed-methods frameworks, and quantitative evaluation of innovation outcomes. He has contributed significantly to understanding how public organizations adapt to demographic changes and crises through strategic digital interventions. Notable contributions include studies on reverse knowledge spillover in public entrepreneurship, leadership's role in pandemic management, and the ethical dimensions of digital governance. His research bridges theoretical innovation frameworks with practical policy implementation challenges.

Hina ShaheenView profile

Assistant Professor

• Bio-statistics
• Neuroscience Data Analysis
• Computational Modelling
• +9 more

Hina Shaheen is an Assistant Professor in the Department of Statistics , Faculty of Science, University of Manitoba. Her research integrates statistical methods with computational neuroscience and neurodegenerative disease modeling. Email: Hina.Shaheen@umanitoba.ca Lab: NeuroStats Lab Research Interests: Shaheen specializes in neurodegenerative disorders like Alzheimer’s and Parkinson’s disease, with a focus on: Multiscale and network modeling of brain dynamics Bio-statistical and machine learning approaches BAYESIAN inference and STOCHASTIC processes Calcium signaling and PROTEIN dynamics in disease pathology Publication Trends: Recent work combines data-driven stochastic modeling with connectomic insights to study neurodegenerative mechanisms. Key themes include: Integration of machine learning and BAYESIAN frameworks in brain network analysis Applications to Alzheimer’s (amyloid-beta/calcium interactions, exosomal spread) and Parkinson’s (DBS treatment, neural dynamics) Development of multiscale co-simulation techniques for clinical data interpretation Academic Engagement: Shaheen actively mentors graduate students and collaborates across disciplines. She participated in the V AMMCS International Conference (2019) and maintains affiliations with computational neuroscience communities.

Faezeh EnsanView profile

Assistant Professor

• Information Retrieval
• Knowledge Engineering
• Semantics
• +3 more

Faezeh Ensan is an Assistant Professor at Toronto Metropolitan University, specializing in Information Retrieval, knowledge engineering, and data science applications in software engineering. She holds a B.Sc. from the University of Tehran (2004), M.Sc. from Ferdowsi University of Mashhad (2006), and Ph.D. from the University of New Brunswick (2011). Her research focuses on semantic technologies, ad hoc retrieval systems, and ontology evaluation. B.Sc., University of Tehran, 2004 M.Sc., Ferdowsi University of Mashhad, 2006 Ph.D., University of New Brunswick, 2011 Her work bridges semantic web, machine learning, and information systems, with notable contributions to entity-based retrieval and modular ontology evaluation. She has been funded by NSERC, Mitacs, and ACOA, and has held prestigious fellowships including the NSERC Industrial Research Fellowship (2014-2016). Recipient of NeOn Student Prize for Best Paper at EKAW 2008 Editor of Canadian Semantic Web: Technologies and Applications (2010) Her advising and grants include collaborations with industrial partners through NSERC and Mitacs projects. She teaches courses like COE528 and COE848, emphasizing object-oriented engineering and data engineering fundamentals.

Truman YangView profile

Associate Professor

• Cybersecurity
• Web Security
• Role-Based Access Control
• +3 more

Truman Yang is an Associate Professor in the Department of Electrical and Computer Engineering at Toronto Metropolitan University. He holds a Ph.D. in Computer Science from the University of Regina, Canada (2003) and an M.S. in Computer Science from Jilin University, China. His research focuses on cybersecurity, including role-based access control, web security, information flow control, and wireless sensor network security. He is a recipient of the CFI New Opportunities Fund Award (2004). Research Interests: Role-Based Access Control Modeling Web Security Mechanisms Information Flow Control Systems Security in Wireless Sensor Networks His publications span topics such as secure e-commerce frameworks, cryptographic access control protocols, and wireless network security solutions. Beyond research, he teaches courses like Programming Languages (ELE808) and Computer Network Security (EE8213). Advising & Grants: Recipient of CFI funding for security-related research Prior research experience with TRLabs (Telecommunication Research Labs of Regina, 1999–2002) Labs/Teams:曾参与TRLabs的电信研究工作，专注于安全协议开发与网络架构设计。

Kai SalomaaView profile

Professor

• Theory of Computation
• Automata Theory
• Formal Languages
• +5 more

Kai Salomaa is a Professor and Graduate Chair in the School of Computing at Queen’s University, Canada. He holds a Ph.D. from the University of Turku (1989). His research focuses on theoretical computer science, particularly automata theory, formal languages, and their applications. Key areas include descriptional complexity, cellular automata, and quantum computing innovations. Affiliations: Queen’s University, School of Computing. Education: Ph.D. in Computer Science from the University of Turku (1989). Research Interests: Prof. Salomaa explores foundational topics like automata state complexity, nondeterminism measures, and computational models. His work bridges classical theory with modern applications in quantum computing, vehicular networks, and algorithmic resource optimization. Notable contributions include studies on input-driven pushdown automata and the integration of quantum algorithms into practical systems. Publications: His recent work spans quantum-enhanced optimization (e.g., vehicle platooning), fair matching algorithms, and complexity analysis of automata. These studies emphasize innovative solutions for computational challenges in dynamic systems and distributed networks. Grants & Labs: Leads the Formal Languages and Automata Theory Research Group, actively organizing conferences like CIAA and DCFS. His work often addresses practical applications of theoretical computer science in areas like sensor networks and metaverse resource management.

Yousra AaferView profile

Assistant Professor

• Mobile and Smart Device Security
• System and Software Security
• Android Security
• +4 more

Yousra Aafer is an Assistant Professor in the Department of Computer Science at the University of Waterloo. Her research focuses on mobile and smart device security, system security, and software security, particularly in the context of Android and cyber-physical systems. She holds a Ph.D. and M.Eng. from Syracuse University. Education: Ph.D., Syracuse University, United States (2016) M.Eng., Syracuse University, United States (2012) Her research interests include analyzing vulnerabilities in Android systems, binary analysis, IoT security, and fuzzing techniques. She explores methods to enhance security through formalized protocols, probabilistic protection recommendations, and leveraging large language models for vulnerability detection. Her work addresses critical areas such as cross-language buffer overflow detection, residual API audits in custom ROMs, and cyber-physical inconsistency in robotic vehicles. Her recent publications span topics like Android security, binary disassembly (e.g., D-ARM), and IoT security protocols (e.g., ProFactory). She has also contributed to frameworks like Poirot for probabilistic protection recommendations and StochFuzz for efficient binary fuzzing. While no awards are explicitly mentioned, her extensive publication record indicates active recognition in the security research community. She advises on multiple projects but no student names are listed here. Her work often involves collaboration on tools and frameworks for practical security applications.

Michael ReimerView profile

Associate Professor

• Quantum Optics
• Quantum Photonics
• Semiconductor Nanowires
• +3 more

Michael Reimer is an Associate Professor at the University of Waterloo, affiliated with the Institute for Quantum Computing (IQC). His primary role involves advancing quantum photonic technologies through experimental and theoretical research. He is a full-time faculty member with expertise in semiconductor nanowire-based devices, quantum dot systems, and their integration with atomic ensembles for quantum communication applications. His research interests focus on developing high-efficiency single-photon sources and detectors, metamaterials for photonic applications, and leveraging cold atoms in hollow-core fibers to enhance quantum state manipulation. He also explores hybrid quantum-classical systems, particularly in optimizing signal-to-noise ratios (SNR) and mitigating nonlinear impairments in optical networks. His work bridges fundamental quantum optics with practical implementations in quantum computing and secure communication systems. Recent articles highlight trends toward achieving near-unity absorption in metamaterials, on-demand photon generation with quantum dots, and probabilistic constellation shaping for optical networks. While no scientific awards are explicitly mentioned, his contributions to quantum photonic devices are notable. No specific grants or advisees are detailed in the provided text, but his affiliation with IQC suggests involvement in collaborative research projects. He is affiliated with the Institute for Quantum Computing, a leading academic unit at the University of Waterloo.

• High-Performance Computing
• Distributed Systems
• Graph Algorithms
• +3 more

Tahsin Reza is an Assistant Professor at the University of Waterloo, affiliated with the Faculty as a full-time member. His research focuses on high-performance computing, distributed systems, and large-scale graph processing. His work emphasizes algorithmic optimization for irregular parallelism, distributed approximation algorithms, and efficient handling of massive graphs with billions of edges. Key research interests include developing frameworks like YGM for HPC, HyGN for NUMA architectures, and tools such as PruneJuice for graph pruning. His contributions span graph algorithms for Steiner trees, temporal graphs, and metadata-driven pattern matching. He has extensively explored GPU and hybrid CPU-GPU systems to accelerate graph processing tasks in domains like InSAR data analysis and VANET tracking. No scientific awards or grants are explicitly mentioned in the provided materials. His work has been published in top venues, consistently addressing challenges in scalability, efficiency, and real-world applicability of graph-based solutions.

Michael FowlerView profile

Professor

• Electrochemical Power Sources
• Fuel Cell Reliability
• Battery Degradation Analysis
• +6 more

Michael Fowler is a Professor in the Department of Chemical Engineering at the University of Waterloo, cross-appointed to the Department of Mechanical and Mechatronics Engineering. His research focuses on electrochemical power systems, including battery degradation analysis, fuel cell reliability, and clean energy hubs. He leads projects like ChallengeX and EcoCar, developing fuel cell and hybrid vehicles. He teaches CHE 331 (Electrochemical Engineering) and actively supervises graduate students. His work integrates hydrogen economy concepts, renewable energy incentives, and Power-to-Gas energy storage. Key interests span polymer science, interfacial phenomena, and battery thermal management systems. Education: Ph.D. in Chemical and Materials Engineering (2003, Royal Military College of Canada), M.Sc. in Engineering Chemistry (1988, Queen's University), B.Sc. in Fuels and Materials Engineering (1986, Royal Military College of Canada). Research emphasizes modeling fuel cells, battery performance, and electrolyte materials. Recent articles explore lithium-ion battery diagnostics, aluminum-air batteries, and thermal runaway prevention. He collaborates with industries on sustainable energy solutions and advises student teams in green energy systems. His lab focuses on advanced materials for electrochemical systems and energy storage innovations. Current roles include co-faculty supervisor of vehicle design teams and director of the Waterloo Fuel Cell Research Network. He welcomes graduate applications and is involved in developing Canada’s hydrogen transition strategies. His work bridges academic research with practical applications in automotive, renewable energy, and material science sectors.

• Distributed Systems
• Networking
• Operating Systems
• +7 more

Dwight Makaroff is a Professor in the Department of Computer Science at the University of Saskatchewan . He leads the DISCUS research group , focusing on distributed systems, networking, and performance analysis. Makaroff holds a Ph.D. from the University of British Columbia (1998), an M.Sc. (1988), and a B.Comm. (1985) from the University of Saskatchewan. Research Interests: Distributed Data Processing & Hadoop Network Support for Multiplayer Games Information-Centric Networking Energy Efficiency in Mobile Devices Multicore Architectures Wireless Network Security Sensor Networks & Data Aggregation Teaching: Courses include Operating Systems Principles , Topics in Parallel & Distributed Systems , and advanced systems courses. He coordinated the ACM ICPC programming contest teams for over a decade. Committees: Graduate Committee Chair (2013-2015) University Council Member (2006-2014) Program Committee roles at IEEE/ACM conferences (IPCCC, CASCON, etc.) Recent Research Highlights: IoT security via blockchain Wearable device communication challenges Caching strategies for information-centric networks

Davide ElmoView profile

Adjunct Professor

• Rock and Soil Engineering
• Geomechanics
• Numerical Modeling
• +6 more

Davide Elmo is an Adjunct Professor at the Department of Earth Sciences, Faculty of Applied Science, University of British Columbia. He joined the NBK Institute of Mining Engineering in 2021, where he teaches and conducts research in engineering geology and rock engineering. University of Portsmouth - B.Eng (Hons) in Engineering Geology and Geotechnics University of Exeter - PhD in Geomechanics Simon Fraser University - Postdoctoral Fellow under Prof. Stead Elmo's research focuses on advanced numerical modeling of rock engineering problems, mining methods, and discrete fracture network models. Recently, he has explored applications of information theory, machine learning, and engineering philosophy to rock engineering, particularly examining cognitive biases in inductive engineering design. His work bridges computational techniques with practical challenges in geological systems. For contact, visit http://mining.ubc.ca/about/people/davide-elmo/ .

• Cognitive Neuroscience
• Machine Learning
• Neuroimaging
• +7 more

Karim Jerbi is a Full Professor at the University of Montreal's Department of Psychology, within the Faculty of Arts and Sciences. He holds the Canada Research Chair (CRC) in Systems Neuroscience and Cognitive Neuroimaging (Junior 2) and leads interdisciplinary research programs. His affiliations include the CRM — Centre de recherches mathématiques, CERNEC — Centre de recherche en neuropsychologie et cognition, CRIUGM — Centre de recherche de l'Institut universitaire de gériatrie de Montréal, PhysNum — Laboratoire de physique numérique, BRAMS — Laboratoire international de recherche sur le Cerveau, la Musique et le Son, and CIRCA — Centre interdisciplinaire de recherche sur le cerveau et l'apprentissage. These affiliations emphasize his collaborative and interdisciplinary approach to neuroscience and neuroimaging. His research investigates cognitive functions and dysfunctions using advanced signal processing and machine learning applied to multimodal brain data. Key interests include neural oscillations, brain connectivity, and the interplay between cognitive processes and neuroimaging techniques like MEG and EEG. He explores topics such as sleep dynamics, decision-making, mindfulness meditation effects, and neurodegenerative disorders, bridging computational models with clinical applications. Jerbi's recent work highlights trends in AI-driven neuroimaging tools (e.g., MEEGNet, NeuroPycon), criticality in brain networks, and the impact of consciousness states on neural activity. His grants include leading the UNIQUE initiative (2019–2024) and co-directing projects like 'Partnership for Abundant Intelligences' (2024–2029), funded by organizations like FRQNT and SSHRC. These efforts aim to integrate AI, mathematics, and clinical research for transformative insights into brain function. Scientific Awards: Canada Research Chair (CRC) in Systems Neuroscience and Cognitive Neuroimaging (Junior 2). In advising, he has guided students in topics like AI-based biomarker identification, hypnosis dynamics, and motor intention decoding. His labs and teams, such as the CRM and CERNEC, focus on mathematical foundations of neural systems and neuropsychological cognition, respectively. Collaborations span diverse fields, including gériatrie, music cognition, and computational intelligence, reflecting his commitment to cross-disciplinary innovation.

• Reinforcement Learning
• Robotics
• Deep Learning
• +3 more

Glen Berseth is an Associate Professor in the Department of Computer Science and Operations Research at the University of Montreal and a Senior Academic Fellow at Mila – Quebec Institute for Artificial Intelligence. He is also a Canada CIFAR Chair in AI and Co-Director of the Montreal Robotics and Integrative AI Laboratory (REAL). His work focuses on reinforcement learning, robotics, and deep learning applied to autonomous systems. He holds a postdoctoral background from Berkeley Artificial Intelligence Research (BAIR), working under Sergey Levine. His research emphasizes real-world applications, including human-robot collaboration, continual learning, and multi-agent systems. He teaches courses on robot learning at the University of Montreal and Mila, covering cutting-edge techniques for general-purpose robots. Key research interests include reinforcement learning for robotics, adaptive interfaces, and sim-to-real transfer. His recent work addresses challenges in autonomous learning systems, such as robust locomotion control and efficient exploration strategies. Notable awards include the Canada CIFAR AI Chair. He has supervised numerous students, including PhD candidates Ozgur Aslan and Siddarth Venkatraman, and Master’s students like Roger Creus-Castanyer and Léa Demeule, focusing on topics like reinforcement learning and robotic control. Berseth leads research projects funded by organizations like the CRSNG, FCI, and MITACS, addressing topics such as modular lifelong learning and generalization in robotics. His lab, REAL, explores embodied AI and robotics integration.

• Blockchain
• Internet of Things (IoT)
• Edge computing
• +9 more

Abdelhakim HAFID is a Full Professor at the University of Montreal , affiliated with the Faculty of Arts and Science and the Department of Computer Science and Operations Research . He leads the LRC — Laboratoire de recherche en réseaux de communication and is a member of several research centers including CIRRELT (interuniversity research center on enterprise networks, logistics, and transportation), the Cyberjustice Lab , and talents (AI for cybersecurity lab). His research focuses on Blockchain security , IoT , edge and fog computing , intelligent transport systems , and network resource management . He has supervised over 30 graduate students and led/co-led numerous research projects funded by agencies like NSERC , FRQNT , and MITACS . Notable projects include Blockchain Evolution: Quantum-Resistant Security (2025–2031) and Design and Management of Fog Networks (2019–2026). His work spans vehicular networks , mobile cloud computing , and machine learning for network optimization . He actively contributes to cybersecurity initiatives, including IoT authentication frameworks and AI-driven solutions for judicial systems (e.g., Cyberjustice ). Key Projects : Quantum-Resistant Blockchain Security (2025–2031) IoT Authentication via Blockchain and Intelligent SIM (2022–2026) Fog Network Design (2019–2026) Grants : NSERC Discovery Grants MITACS Acceleration Fellowships FRQNT Team Research Grants His lab collaborations include CIRRELT (logistics & transport) and Cyberjustice (digital law), reflecting interdisciplinary strengths in both technical and societal domains.