Find Academic Supervisors

• Computer Science
• Algorithm Design
• Parallel Computing
• +4 more

Susanne Bradley is a Teaching Professor in the Department of Computer Science at the University of British Columbia (UBC). She specializes in algorithm design, parallel computation, and numerical analysis. Her teaching responsibilities include courses such as CPSC 320 (Intermediate Algorithm Design and Analysis) and CPSC 418 (Parallel Computation). Her research focuses on preconditioners for saddle-point systems, eigenvalue analysis, and innovative educational methodologies like inverted two-stage exams. Bradley’s academic contributions span numerical linear algebra, computational methods, and biomechanical simulation. She has published extensively on topics such as eigenvalue bounds for saddle-point systems and the application of machine learning in sensorimotor control. Her work emphasizes practical solutions for complex computational challenges and pedagogical innovations to enhance learning outcomes. Her office is located in ICCS 241, and she can be reached at smbrad@cs.ubc.ca .

Sid FelsView profile

Professor

• Human Computer Interaction
• 3D displays
• Biomechanical modeling
• +7 more

Sid Fels is a Professor in the Department of Electrical and Computer Engineering at the University of British Columbia (UBC), affiliated with the Faculty of Applied Science. He leads the Human Communication Technologies Laboratory and was the director of the Media and Graphics Interdisciplinary Centre (MAGIC) from 2001 to 2012. His academic rank is Professor, and he is actively involved in faculty roles without any indication of retirement or former status. Education: BASc in Electrical Engineering (University of Waterloo, 1988), MSc and PhD in Computer Science (University of Toronto, 1990 and 1994 respectively). He has been at UBC since 1998 and was recognized as a Distinguished University Scholar in 2004. Research Interests: Focuses on human-computer interaction, biomechanical modeling, neural networks, medical applications, speech synthesis, and interactive arts. His lab explores topics like 3D displays, surgical simulation, and vocal tract modeling. Key projects include mandibular reconstruction simulations and biomechanical modeling for speech production. Publications: Over 150 articles, including recent works on mandibular reconstruction efficacy, AI in education, and vocal tract acoustics. Notable articles from 2025 include studies on surgical planning and chatbot-mediated critical thinking. Awards: Distinguished University Scholar (UBC, 2004). His work bridges computer science, engineering, and biomedical applications, with a strong focus on interdisciplinary projects. Students: Supervised over 20 graduate students, including those in biomechanical modeling, medical imaging, and human-computer interaction. Notable advisees include authors of theses on video-based learning tools and surgical simulation systems. Labs/Teams: Leads the Human Communication Technologies Lab and co-founded MAGIC. Collaborates with clinical partners on projects like mandibular reconstruction and sleep apnea modeling.

Serpil KocabiyikView profile

Professor

• Fluid Mechanics
• Computational Science
• Theoretical Fluid Dynamics
• +3 more

Serpil Kocabiyik is a Professor of Mathematics at Memorial University of Newfoundland, leading research in fluid mechanics and computational science. She holds a Ph.D. from Western Ontario (1987) and has held academic positions at Manitoba and Western Ontario. Her work focuses on unsteady separated flows, vortex-induced vibrations, and numerical simulation methodologies. Education: B.Sc. & M.Sc. (Middle East Technical University, 1979/1981), Ph.D. in Applied Mathematics (University of Western Ontario, 1987). Postdoctoral fellowships followed before joining Memorial in 1999 as Associate Professor, promoted to Full Professor in 2005. Research Interests: Interdisciplinary applied mathematics, theoretical fluid mechanics, computational science. Specializes in fluid-bluff body interactions, numerical methods for PDEs, and validation across computational/experimental studies. Key Contributions: Over 80 refereed papers, $2M+ in grants, and mentorship of >30 students/postdocs. Pioneered studies on free surface flows with moving bodies and developed parallelized CFD algorithms. First woman in Canada to win Petro-Canada Young Innovator Award (2000) CAIMS Arthur Beaumont Distinguished Service Award (2006) Teaching: Courses include Numerical Algorithms, Fluid Mechanics, Partial Differential Equations. Advocated for STEM education equity, training 17→50 graduate students in her department (1999–2009).

• Operations Research
• Healthcare Logistics
• Transportation Systems
• +4 more

Onur Ozturk is an Associate Professor at the Telfer School of Management, University of Ottawa. He holds a PhD in Industrial Engineering from Grenoble Institute of Technology (2012), followed by a postdoctoral fellowship at Ivey Business School (2012–2014). Prior to his current position, he worked as an Assistant Professor at ESIEE Paris (2014–2017). His research focuses on large-scale optimization in healthcare and transport sectors, leveraging scheduling theory, simulation modeling, and stochastic processes. He has contributed to projects such as the Efficacity Institute’s urban freight transport optimization in Île-de-France. Research interests include: Integer linear programming and operations research applications Scheduling and simulation modeling for healthcare logistics and transportation Optimization of pandemic-related operations (e.g., staff scheduling in hospitals, patient admissions) Bi-criteria optimization in medical sterilization and manufacturing systems Recent funded research includes a NSERC grant (2019–2026; $169,000) for batch scheduling methods, and multiple internal grants addressing healthcare routing (2021), medical sterilization (2021), and pandemic staffing (2020–2021). His work emphasizes practical solutions for urban logistics, healthcare capacity planning, and crisis management. No scientific awards are explicitly mentioned in the text. His teaching focuses on business analytics, operations management, and stochastic modeling.

Ralf MeyerView profile

Research Professor

• Computational Materials Science
• Nanomaterials
• High-Performance Computing
• +2 more

Ralf Meyer holds the SHARCNET Research Chair position in the Department of Mathematics and Computer Science at Laurentian University, where he has been since July 2008, with a cross-appointment in the Department of Physics. His academic role combines research in computational materials science with extensive teaching across computer science and mathematics disciplines. Dr. Meyer earned his Ph.D. (Dr. rer. nat.) in theoretical physics from the University of Duisburg in 1998, establishing the foundation for his interdisciplinary research approach. His research specializes in computational modeling of materials, particularly investigating the structural and dynamic properties of nanoparticles and nanostructured materials. He leverages the high-performance computing resources of the Shared Hierarchical Academic Computing Network (SHARCNET) to conduct complex simulations, bridging computer science, physics, and materials engineering. This work contributes to advancements in nanotechnology through computational methodologies. Dr. Meyer has maintained a consistent teaching record since 2009, instructing courses such as Computer Organization (COSC 3406E), Parallel Computing (COSC 4456E), Numerical Methods (MATH/COSC 3416), and Object-Oriented Programming (COSC 2947E) at both undergraduate and graduate levels. His pedagogical focus spans foundational programming concepts to advanced high-performance computing applications. No scientific awards were documented in the provided information. Similarly, no formal advisees or grant funding details were specified, though his SHARCNET affiliation indicates institutional support for computational research infrastructure. His research operations are centered around SHARCNET resources, a consortium providing high-performance computing facilities across Ontario academic institutions, enabling large-scale computational experiments in materials science without dedicated on-campus laboratory facilities.

• Phase-field modeling
• Computational materials science
• Solidification
• +5 more

Nikolas Provatas serves as an Adjunct Professor in the Department of Materials Science and Engineering within the Faculty of Engineering at McMaster University. His academic career spans over three decades with extensive contributions to computational materials science, particularly in phase-field modeling techniques. Provatas' research focuses on phase-field modeling, solidification phenomena, microstructure evolution, and computational materials engineering. His work bridges theoretical modeling with practical applications in additive manufacturing, metallurgy, and materials processing. He has developed advanced computational frameworks for simulating solidification processes, phase transformations, and microstructural development in various materials systems including metals, alloys, and nanomaterials. His research has significant implications for understanding fundamental materials phenomena and improving industrial manufacturing processes. Analysis of Provatas' extensive publication record reveals a strong trend toward increasingly sophisticated computational modeling approaches, particularly the phase-field crystal method. His work spans fundamental theoretical developments to practical applications in additive manufacturing, welding, and casting processes. The research shows particular emphasis on understanding microstructure evolution during solidification, phase transformations, and the relationship between processing conditions and final material properties. Provatas has mentored numerous students and collaborated extensively across the materials science community, though specific details of his advising record are not provided in the available information. His research has attracted significant attention, as evidenced by the substantial readership metrics across multiple platforms. His laboratory work centers on computational materials science, developing advanced simulation frameworks to model solidification phenomena, phase transformations, and microstructure evolution across multiple length and time scales. These computational approaches enable detailed investigation of materials behavior that would be challenging to observe experimentally.

Jean MahseredjianView profile

Professor

• Electrical Networks
• Electromagnetics
• Circuit Theory
• +4 more

Jean Mahseredjian is a Full Professor in the Department of Electrical Engineering at Polytechnique Montréal. He holds the NSERC/Hydro-Québec/RTE/EDF/OPAL-RT Industrial Research Chair in Multiscale Time Simulation of Transients in Large-Scale Electrical Networks and is a member of the Institute for Data Valorization (IVADO). His research bridges electrical engineering, numerical methods, and renewable energy integration. Research interests include: Advanced numerical simulation of power system transients Modeling and validation of wind farms and HVDC systems Electromagnetic compatibility and circuit theory Real-time simulation and parallel computing for large-scale grids His recent publications (2025-2026) demonstrate strong emphases on: EMTP simulation advancements for circuit breakers, cables, and converters Renewable integration challenges (wind/PV parks and battery systems) High-performance computing methods for power system analysis Awards and honors: IEEE Fellow (2013) for contributions to power system transients simulation Supervision and collaboration: Mentored 68 graduate students (31 PhD, 37 Master's) Leads industry-funded research with Hydro-Québec, RTE, EDF, and OPAL-RT Develops open-source simulation tools (e.g., Julia-based platforms)

François-Raymond BoyerView profile

Associate Professor

• Computer Architecture
• VLSI Systems
• Microelectronics
• +4 more

François-Raymond Boyer is an Associate Professor in the Department of Computer Engineering and Software Engineering at Polytechnique Montréal. He holds a B.Sc. and Ph.D. from Université de Montréal and teaches courses in programming and digital audio. His research spans: Computer architecture and VLSI systems Network processing and traffic management Digital audio signal processing Hardware acceleration and optimization He is affiliated with ReSMiQ (Strategic Cluster for Microsystems) and OICRM (Music Research Observatory). Recent publications focus on 5G network processing, modular programming frameworks, and high-speed traffic management architectures, primarily in IEEE Access and IEEE Transactions on VLSI Systems. Professor Boyer has supervised 3 PhD and 6 Master's students, with research topics including network architecture, audio processing, and hardware design. No scientific awards are mentioned in the available records.