Find Academic Supervisors

Heather TrajanoView profile

Professor

• Biomass fractionation and conversion
• Biorefining
• Cellulose hydrolysis
• +3 more

Dr. Heather Trajano is a faculty member in the Department of Chemical and Biological Engineering at the University of British Columbia's Faculty of Applied Science. Her research focuses on sustainable biomass fractionation and conversion processes, aiming to maximize economic and environmental benefits through innovative biorefining strategies. Research Interests: Fundamentals of biomass deconstruction to separate carbohydrates from lignin Recovery and purification of extractives from biomass Heterogeneous catalysis for chemical production Integration of biorefining opportunities with existing forestry operations Utilization of waste streams and by-products for sustainable processes Her work emphasizes the development of processes that complement traditional forestry operations by transforming waste materials into valuable chemicals and fuels. This research spans fundamental studies of biomass deconstruction mechanisms to applied process optimization using advanced modeling techniques including machine learning approaches. Research Trends: Dr. Trajano's recent publications demonstrate a strong focus on xylan and hemicellulose processing from birch and softwood sources, with particular attention to kinetic modeling of hydrolysis processes. Her work integrates experimental studies with computational modeling, including machine learning applications for yield prediction. The research also encompasses lignin valorization through depolymerization and upgrading of pyrolysis oils, cellulose hydrolysis optimization, and the development of sustainable catalytic processes for biomass conversion. Contact Information: Email: heather.trajano@ubc.ca

Qingshi TuView profile

Assistant Professor

• Industrial Ecology
• Sustainability Engineering
• Bioeconomy
• +8 more

Dr. Qingshi Tu is an Assistant Professor in the Department of Wood Science at the University of British Columbia (UBC) Faculty of Forestry . His research focuses on integrating industrial ecology principles with computational modeling to advance sustainable bioeconomy development. Research Pillars: System-scale sustainability modeling using process simulation, statistics, and AI Environmental/economic/social impact assessment of bioenergy and bioproducts Interactions between bioeconomy, circular economy, and climate mitigation Technical Expertise: Life Cycle Assessment (LCA) Material Flow Analysis (MFA) Techno-economic Analysis (TEA) Machine Learning for sustainability Publication Scope: Dr. Tu has published 20+ articles in top journals like Journal of Industrial Ecology , Nature Communications , and ACS Nano , covering topics from nanomaterial synthesis to climate policy frameworks. His work emphasizes system-scale modeling of bioeconomy-climate interactions. Laboratory: Leads the Sustainable Bioeconomy Research Group , developing computational tools for evaluating emerging biotechnologies.

Fatih NayebiView profile

Lecturer

• Information Systems
• Data Science
• Machine Learning
• +5 more

Dr. Fatih Nayebi is a Faculty Lecturer in Information Systems at McGill University while also serving as Vice President of Data & AI at the ALDO Group. He bridges academic research with enterprise innovation, focusing on data science, machine learning, and AI systems. Academic Background: Ph.D. in Computer Engineering from École de technologie supérieure M.Sc. in Software Engineering from Boğaziçi University B.Sc. in Computer Engineering from Boğaziçi University Dr. Nayebi's research interests include: Information Systems Data Science Machine Learning Engineering & MLOps Deep Learning Agentic AI Human-Computer Interaction AI in Retail His recent publications focus on AI for retail, mathematical foundations of AI, information integrity in democratic systems, and best practices for technical documentation. Dr. Nayebi also teaches graduate courses at McGill University including: Enterprise Data Science Machine Learning in Production Introduction to AI and Deep Learning Applications and Architectures of Deep Learning Designing and Developing Agentic AI Systems As an active speaker and thought leader, Dr. Nayebi has participated in events such as: World Summit AI Americas RETHINK Retail NRF Nexus 2025 Supply Chain Research Forum JOPT2025 - Annual Conference of Optimization Days He is also the founder of Gradient Divergence, an advisory studio focused on advanced AI solutions for retail and consumer brands.

Nicolas GodboutView profile

Professor

• Photonics
• Optical Fiber Components
• Quantum Cryptography
• +6 more

Nicolas Godbout is a Full Professor and Department Director of the Department of Engineering Physics at Polytechnique Montréal. He holds a Ph.D. from Polytechnique Montréal and serves as Head of the Fiber Optics Laboratory and as a Researcher at the Center for Optics, Photonics and Lasers (COPL). His academic leadership extends to teaching courses including Fundamentals of Photonics, Waveguide Optics, Lasers, Quantum Optics, and Current Subjects in Photonics. Dr. Godbout's research spans multiple areas of photonics with particular emphasis on optical fiber components, quantum cryptography, quantum information, optical telecommunications, and nonlinear optics. His work bridges fundamental theoretical investigations with practical applications in telecommunications, biomedical imaging, and quantum technologies. He has made significant contributions to photonic lantern development, quantum key distribution systems, and optical fiber component design. Analysis of his recent publications reveals a strong trend toward interdisciplinary research combining photonics with biomedical applications, quantum information processing, and advanced computational modeling. His work demonstrates consistent innovation in optical fiber technology, with increasing focus on quantum applications and biomedical instrumentation over the past decade. The development of open-source tools like SuPyMode and PyMieSim highlights his commitment to advancing research methodology in the field. $377,000 awarded for Quantum Photonics Quebec projects (2022) Appointment as director of INTRIQ (2019) Dr. Godbout has supervised an extensive number of graduate students, with 9 completed Ph.D. theses and 21 Master's theses under his guidance, plus one currently in progress. His research has been supported by significant funding, including semiconductor research initiatives that received $120 million from the Canadian government as recently as July 2024. He actively collaborates with industry through Castor Optics, a company he co-founded with Professor Caroline Boudoux that specializes in optical fiber components. As Head of the Fiber Optics Laboratory and researcher at COPL, Dr. Godbout leads a dynamic research team focused on advancing photonics technology. His laboratory work spans from fundamental quantum optics research to practical applications in telecommunications and biomedical imaging. Recent activities include significant contributions to semiconductor research initiatives at Polytechnique Montréal, reflecting his leadership in positioning the institution at the forefront of advanced technology development.

• Wastewater Treatment
• Process Control
• Mathematical Modeling
• +6 more

John Copp is an Adjunct Assistant Professor in the Department of Computing and Software at McMaster University , specializing in wastewater treatment modeling and process control. His work bridges environmental engineering with computational methods, focusing on simulation benchmarks, digital twin applications, and real-time monitoring systems. Adjunct Assistant Professor, Computing and Software, McMaster University Research Interests include: Wastewater treatment process modeling Respirometry-based control strategies Digital twin development for water resource recovery Automation and fault detection systems Biological nutrient removal optimization His scholarly output spans over 25 years with notable trends in: Development of benchmark simulation models (BSM1, BSM2) Integration of anaerobic digestion with activated sludge processes Multi-biomass modeling for enhanced nutrient removal Machine learning applications in water quality monitoring

Alan WassyngView profile

Professor

• Software Engineering
• Formal Methods
• Safety-Critical Systems
• +6 more

Alan Wassyng is a Professor in the Department of Computing and Software at McMaster University's Faculty of Engineering. With over four decades of academic contributions, he specializes in formal methods, safety-critical systems, and software assurance cases. Key research intersections: Automotive software safety Medical device software certification Cyber-physical systems engineering Model-driven development with domain experts His scholarly work emphasizes rigorous methodologies for software verification, particularly through tabular expressions and Workflow+ models. Recent projects include a $2M GM Canada partnership to advance automotive safety systems. Teaching leadership spans interdisciplinary capstone projects in biomedical engineering, covering software design, safety-critical development, and mechatronics applications.

Curtis BakerView profile

Professor

• Visual Perception
• Neurophysiology
• Psychophysics
• +12 more

Curtis Baker is a Senior Scientist at the Research Institute of the McGill University Health Centre (RI-MUHC), Montreal General Hospital site, and a Professor in the Department of Ophthalmology and Visual Sciences at McGill University. His research focuses on understanding human visual perception , particularly low-level neural mechanisms that underpin everyday visual processing of figure-ground and local depth relationships through cues like contrast, texture, and motion . Institutional Affiliation: RI-MUHC, McGill University Academic Rank: Professor His lab employs human psychophysics , electrophysiology , optical imaging , and computational modeling to study how early visual processing detects and utilizes complex cues. Key research areas include receptive field dynamics , second-order boundary perception , and machine learning applications in visual neuroscience. Recent publications highlight his work on convolutional neural networks for receptive field estimation, Y-like neuronal responses in human vision, and texture regularity models using wavelet analysis. Collaborations span computational neuroscience , optical imaging , and depth perception mechanisms. Students and researchers in his lab include graduate students in Integrated Program in Neuroscience , Physiology , and Biomedical Engineering , alongside alumni contributing to neurophysiology and computational biology projects.

Joseph MaciejkoView profile

Associate Professor

• Condensed Matter Physics
• Quantum Materials
• Topological Phases of Matter
• +3 more

Joseph Maciejko is an Associate Professor in the Department of Physics at the University of Alberta and holds a Tier-II Canada Research Chair in Condensed Matter Theory. As interim director of the Edmonton node of Quantum Horizons Alberta , he leads efforts to build a world-class theoretical quantum physics team. BSc in Engineering Physics from École Polytechnique de Montréal (2004) MSc in Physics from McGill University (2006) PhD in Physics from Stanford University (2011) His research focuses on quantum materials , particularly hyperbolic lattices and topological phases of matter , using mathematical models to predict novel material properties. Recent work includes hyperbolic Chern insulators and non-Abelian semimetals , bridging condensed matter physics with pure mathematics like algebraic geometry. Key trends in his publications (2021-2025) include: Quantum criticality in Dirac fermion systems Topological superconductivity and Majorana modes Hyperbolic geometry applications to band theory Floquet engineering for quantum computing Scientific Awards : Tier-II Canada Research Chair in Condensed Matter Theory. Maciejko emphasizes collaboration, mentoring, and interdisciplinary approaches, working with teams to explore quantum materials' fundamental properties and potential technological applications through initiatives like Quantum Horizons Alberta .

Gaang LeeView profile

Assistant Professor

• Construction Engineering
• Built Environment
• Human Factors
• +5 more

Gaang Lee is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of Alberta's Faculty of Engineering, where he joined in 2022 after earning his Ph.D. from the University of Michigan. His research pioneers 'sympathetic' built environments that enhance safety, health, productivity, and comfort for workers and users through integration of wearable biosensors, AI, extended reality, and robotics with psychophysiological theories. Education: Ph.D in Civil and Environmental Engineering, University of Michigan, Ann Arbor (2022) - Emphasis: Construction Engineering and Management; Graduate Certificate in Computational Discovery and Engineering Graduate Certificate in Computational Discovery and Engineering, University of Michigan, Ann Arbor (2022) M.S. in Architectural Engineering, Yonsei University, South Korea (2012) - Emphasis: Construction Engineering and Management B.S. in Architectural Engineering, Yonsei University, South Korea (2010) Dr. Lee combats technological exclusion for marginalized groups (construction workers, older adults) by developing empathetic technologies for workplaces, buildings, and urban spaces. His work applies human sensing, AI, and digital twins to create environments that adapt to diverse human needs, with key projects spanning psychophysiological safety monitoring, human-robot collaboration, and inclusive urban design. He integrates psychophysiological and socio-cognitive theories to address real-world gaps in construction engineering and computer science. His recent publications (2023-2025) reveal strong trends in AI-driven safety hazard identification, biosensor-based stress/fatigue monitoring, and virtual reality for construction team dynamics. A critical emerging focus is equity-centered technology design, with increasing publications addressing inclusive built environments and technological access for vulnerable populations through graph-based algorithms, domain adaptation, and interpretable AI models. Scientific Awards: No awards mentioned in the provided text. Dr. Lee actively recruits students for his 'Empathetics' research group starting in 2026, prioritizing candidates with empathy, research motivation, and commitment to diversity and inclusion. While specific grants are not detailed, his research program receives institutional support from the University of Alberta and likely external funding given its interdisciplinary scope and industry relevance. He leads the 'Empathetics' research group (part of Attentive Hub) which emphasizes diversity as fundamental to innovation. Current projects include psychophysiological monitoring for occupational safety, trustable human-robot collaboration systems, and extended reality frameworks for empathetic built environments. The group collaborates with IHT LAB (https://www.iht-lab.com/) and focuses on deploying technologies that make daily surroundings safe, healthy, and truly inclusive for all individuals.

M Reza KholghyView profile

Associate Professor

• Industrial Decarbonization
• Hydrogen Production
• Carbon Dioxide Conversion
• +7 more

Dr. M Reza Kholghy is an Associate Professor and Canada Research Chair in Particle Technology and Combustion Engineering at Carleton University's Department of Mechanical and Aerospace Engineering. He directs the Energy and Particle Technology Laboratory (EPTL) where he focuses on sustainable industrial solutions. His academic credentials include a BASc in Aerospace Engineering from Sharif University of Technology, and MASc/PhD degrees in Mechanical Engineering from the University of Toronto, followed by postdoctoral work at ETH Zurich. Research interests center on: Industrial decarbonization through metal fuel combustion (aluminum/iron) and carbon management Hydrogen production via methane pyrolysis and metal-water reactions Advanced material synthesis including flame spray pyrolysis for catalytic films and alumina production Nanoparticle engineering with focus on soot formation dynamics and optical properties His publications predominantly explore nanoparticle synthesis mechanisms, soot formation modeling, and sustainable fuel technologies, with recent emphasis on hydrogen cogeneration and metal combustion. Experimental and computational approaches are equally represented across combustion diagnostics, reactor design, and molecular dynamics simulations. Major scientific recognitions include: Canada Research Chair (Tier 2) Vanier Canada Graduate Scholarship NSERC Postdoctoral Fellowship He leads the Energy and Particle Technology Laboratory with industry partnerships focused on sustainable technology development. The lab specializes in flame spray pyrolysis reactors, nanoparticle characterization (surface area, porosity, composition), and high-pressure reaction systems. Dr. Kholghy actively mentors students through capstone projects and research positions, though specific PhD/Master's advisees aren't named in available sources.

Jie GaoView profile

Assistant Professor

• Machine Learning for Communications and Networking
• Internet of Things (IoT) and Industrial IoT
• Cloud and Multi-Access Edge Computing
• +7 more

Dr. Jie Gao is an Assistant Professor at the School of Information Technology , Carleton University, with cross-appointments at Dalhousie University (Adjunct Faculty, 2024) and Carleton University (2025). He holds a Ph.D. in Electrical and Computer Engineering from the University of Alberta (2014) and has held postdoctoral and research associate positions at Ryerson University (2017-2019), University of Waterloo (2019-2020), and Marquette University (2020-2022). His research focuses on machine learning for communications/networking , 6G wireless networks , cloud/multi-access edge computing , IoT/industrial IoT solutions , and network virtualization/digital twins . Research Leadership: Co-investigator on projects related to AI-assisted network slicing, digital twin-driven resource allocation, and integrated satellite-terrestrial networks Led work on energy-efficient UAV-assisted edge computing (IEEE Best Land Transportation Paper Award 2024) Professional Roles: Senior Member, IEEE Lead Associate Editor, IEEE Access Vehicular Technology Society Section (2020-present) Associate Editor, Springer Peer-to-Peer Networking and Applications (2020-present) IEEE Vehicular Technology Society Young Professional Ambassador (2024) Notable Contributions: Authored/co-authored books on Intelligent Computing and Communication for the Internet of Vehicles (Springer, 2023) and Connectivity and Edge Computing in IoT (Springer, 2021) Holds patents on medium access control methods (US Patents 2022, 2024) Received multiple IEEE service awards (2018-2024)

André LongtinView profile

Professor

• Nonlinear Dynamics
• Stochastic Dynamics
• Theoretical Biophysics
• +6 more

André Longtin is a Full Professor in the Department of Physics at the University of Ottawa, affiliated with the Faculty of Science. He co-directs the Centre for Neural Dynamics & Artificial Intelligence and holds cross-appointments in Cellular and Molecular Medicine, Mathematics and Statistics. His research focuses on nonlinear dynamics, stochastic systems, and computational neuroscience, with applications to sensory processing, neural coding, and thermodynamic principles in biological systems. Education: B.Sc. (Honours Physics, Université de Montréal), M.Sc. (Physics, Université de Montréal), Ph.D. (Physics, McGill University, 1989). Postdoctoral training at Los Alamos National Laboratory. Research Interests: Theoretical biophysics, neural modeling, entropy production in biological systems, delayed dynamical systems, and interdisciplinary applications of nonlinear science. His group explores computations in hippocampus and zebrafish pallium, epilepsy mechanisms, neural coding in electrosensory systems, and autonomous stochastic rhythms. Recent Work: Articles highlight entropy dynamics in humans, myelin plasticity effects on neural networks, and reservoir computing with delayed loops. Awards include APS Fellowship (2003) and the NSERC Brockhouse Prize (2017). Editorial Roles: Biological Cybernetics, Frontiers in Computational Neuroscience, and others. Collaborations span systems neuroscience, clinical specialties, and engineering.

• Computer Vision
• Autonomous Robotics
• Image-Based Localization
• +3 more

Charbel Azzi is an Assistant Professor, Teaching Stream at the University of Waterloo, specializing in Computer Vision and Autonomous Robotics. His work focuses on robotics navigation, image-based localization, and sensor technology applications. He holds a full-time faculty position within the university's engineering domain. Research interests include developing algorithms for motion estimation, global localization, and context-aware robotics systems. His contributions span both theoretical advancements and practical applications such as AR-assisted wayfinding and energy-harvesting prototypes like the Eco-Brella. Notable research trends include leveraging global descriptors and 3D keypoints for improved localization accuracy, alongside interdisciplinary projects in renewable energy. No academic awards or grants are explicitly listed in the provided information.

• Biomaterials Engineering
• Biomedical Engineering
• Biomineralization
• +6 more

Dr. Liza-Anastasia DiCecco is an Assistant Professor in the Department of Systems Design Engineering at the University of Waterloo, where she leads the Regenerative Biomaterials Innovation Group. Her research focuses on biomimetic implant development for hard tissues, biomineralization processes, and advanced materials characterization using liquid phase electron microscopy. She holds a PhD in Materials Engineering from McMaster University and completed postdoctoral training at Penn State University supported by the NSERC Banting Fellowship. Education: PhD, Materials Engineering, McMaster University (2023) MASc, Materials Engineering, University of Windsor (2019) BASc, Mechanical Engineering, University of Windsor (2017) Research Interests: Biomaterials design for musculoskeletal applications Biomineralization mechanisms at organic-inorganic interfaces In situ liquid transmission electron microscopy (TEM) for dynamic material analysis 3D printing of functionalized medical implants Computational modeling of biomaterial behavior Awards & Recognition: 2023 NSERC Banting Postdoctoral Fellowship 2019-2022 NSERC Vanier Canada Graduate Scholarship 2024 M&M Microanalysis Society Creative Canvas Award 2023 McMaster University Fall Valedictorian Professional Affiliations: Councillor-At-Large, Microscopy Society of Canada Core Member, Waterloo Institute for Nanotechnology Member, Canadian Biomaterials Society Lab Focus: The DiCecco Team develops novel biomaterial characterization workflows linking atomic-to-macro scale structures, with emphasis on hydrated environments. Current projects explore titanium-based implants with genistein coatings and collagen mineralization mechanisms.

Andrew SowinskiView profile

Associate Professor

• Electrostatics in fluidized beds
• Particle charging phenomena
• Reactor wall fouling mitigation
• +3 more

Andrew Sowinski serves as Associate Professor and Vice-dean of Programs at the School of Engineering Design and Teaching Innovation within the Faculty of Engineering at the University of Ottawa. Holding a Ph.D. from the University of Ottawa, his office is located in STE 1024Q with contact details including phone 613-562-5800 ext. 6288 and email sowinski@uOttawa.ca. Education: Ph.D. from University of Ottawa His research spans two primary domains: electrostatic phenomena in gas-solid systems and engineering education innovation. In electrostatics, he investigates contact electrification mechanisms in polyethylene fluidized beds, particle charging dynamics, reactor wall fouling, and pneumatic conveying systems, employing both experimental and computational (CFD) approaches. His education research focuses on developing non-traditional multidisciplinary design programs within conventional engineering faculties, addressing curriculum design, student recruitment, and assessment methodologies. Analysis of his 2021-2025 publications reveals consistent dual-focus work: electrostatics research emphasizes charge generation/mitigation in industrial polymerization processes, while education studies explore structural and implementation challenges of cross-disciplinary programs. His electrostatics work frequently combines particle-level charging experiments with system-level CFD modeling, while education publications document practical frameworks for program development amid traditional faculty structures. Scientific Awards: No scientific awards were documented in provided materials Advising and Grants: Specific details regarding graduate students, research grants, or funding sources were not disclosed in the source documentation, though his program leadership role as Vice-dean of Programs suggests significant administrative responsibilities in curriculum development and resource allocation.