Barbara Bordalejo is a Professor at the University of Lethbridge with dual appointments in Digital Humanities and English . She serves as President of the Canadian Society for Digital Humanities/Société canadienne des humanités numériques and has held leadership roles in Global Outlook:: Digital Humanities and the European Association of Digital Humanities . Her work focuses on: Digital Editions : Leading the CantApp project (2020) for mobile access to Chaucer’s Canterbury Tales , co-developing the Textual Communities platform with Peter Robinson, and editing Darwin’s Origin of Species . Textual Scholarship : Exploring phylogenetic methods for manuscript analysis, collation techniques, and the intersection of bioinformatics with textual criticism. Equity in Digital Humanities : Investigating gender and minority representation through publications like Minority Report (2018) and co-organizing ADHO diversity workshops (2017–2022). AI and Academic Integrity : Analyzing false positives in AI detection software (2025) and advocating for responsible AI policies in education. Her research projects include collaborations with Richard North and Peter Robinson on digital tools, work with Roopika Risam on intersectional DH, and contributions to global DH initiatives across disciplines and regions.
Jean-Marc Drouet is a Full Professor at Université de Sherbrooke since 2017, specializing in Vibration Analysis , Mechanical Engineering , and Sports Engineering . His career at Université de Sherbrooke spans from Lecturer (1995-2003) to Assistant Professor (2003-2008), Associate Professor (2008-2017), and currently Full Professor. PhD in Mechanical Engineering (2003), Université de Sherbrooke Master's in Mechanical Engineering (1994), Université de Sherbrooke Bachelor's in Mechanical Engineering (1991), Université de Sherbrooke Drouet's research explores: Vibration Analysis in road cycling, including perceptual thresholds and shock transmission to cyclists' hands Sports Engineering innovations like suspension stems and instrumented brake hoods for comfort assessment Structural Optimization using genetic algorithms for steel supports and bicycle frames Human Perception studies in dynamic comfort and biomechanical loads Ergonomic Design of cycling equipment and pedagogical tools for engineering education Key research trends from his publications include: Application of genetic algorithms to structural optimization challenges Development of dynamic comfort metrics for cycling equipment Integration of biomechanical measurements with structural analysis Focus on hand-arm vibration exposure and mitigation strategies Interdisciplinary approach combining mechanical engineering , psychophysics , and biomedical engineering Continued exploration of steel material properties in bicycle design Scientific recognitions: Institutional Teaching Excellence Award (2009-2010) Best Paper Award at The Engineering of Sport 11 (2016) His work has attracted significant funding through: NSERC Collaborative Research and Development Grant ($590,686) FRQSC Research Support ($196,544) CREAS Internal Infrastructure Funding ($157,000) CRIJEST Chair Collaborations ($830,000 total funding)
Pablo Lemos is a postdoctoral Research Fellow at the Montrel Institute for Learning Algorithms (MILA) and the CIELA institute at the University of Montreal, where he is affiliated with the Department of Physics. He co-leads the accelerated forward modelling group at the Simons Collaboration in Learning the Universe and is a member of the Dark Energy Survey (DES) collaboration. Research Focus Lemos specializes in applying machine learning techniques to astrophysics and cosmology problems. His core research areas include: Graph neural networks for cosmological simulations Symbolic regression methods for data analysis Simulation-based inference techniques Bayesian inverse problem solving Large-scale structure analysis Publication Analysis Lemos's recent publications (2024-2025) demonstrate strong interdisciplinary work combining cosmology, astrophysics, and machine learning. Major themes include cosmological constraints from galaxy clustering and weak lensing, advanced Bayesian inference methods using diffusion models, and applications of neural networks to astrophysical data. Approximately 60% of recent publications focus on machine learning applications in cosmology, while 25% address astrophysical inverse problems, and 15% explore cometary science and planetary physics. Collaborations and Groups Co-leader of accelerated forward modelling group at Simons Collaboration in Learning the Universe Active member of Dark Energy Survey (DES) collaboration
Dr. Melike Erol-Kantarci is an Associate Professor at the School of Electrical Engineering and Computer Science, University of Ottawa, and a Canada Research Chair in AI-enabled Next-Generation Wireless Networks. She founded the Networked Systems and Communications Research (NETCORE) Laboratory and holds a courtesy appointment as Assistant Professor at Clarkson University's Electrical and Computer Engineering Department. With over 6,000 citations and an h-index of 40, she contributes to IEEE as a Senior Member, chairs the Green Smart Grid Communications special interest group, and serves as Editor for IEEE Communications Letters and IEEE Access . Research Focus: 5G/6G wireless networks AI/ML-driven network optimization Smart grid communications Cyber-physical system security Edge computing and IoT Reconfigurable Intelligent Surfaces (RIS) Scientific Contributions: Her recent publications highlight generative AI integration in 6G, intent-driven network management using hierarchical reinforcement learning, physical layer security for connected vehicles, and explainable AI frameworks in communications. The 15 most recent works (2024-2025) span topics like beamforming optimization, federated learning security, UAV-assisted networks, and semantic communication systems. Leadership: As director of the NETCORE Laboratory, she leads cutting-edge research in networked systems, bridging wireless communication paradigms with energy sustainability and security requirements for next-generation networks.
Gilles Brassard is a Full Professor in the Department of Computer Science and Operations Research at the Université de Montréal's Faculty of Arts and Sciences. He holds the Canada Research Chair in Quantum Computing and serves as Scientific Director of INTRIQ (Institut transdisciplinaire d'information quantique). His affiliations include membership in the Centre de recherches mathématiques (CRM), Institut Courtois, LITQ (Laboratoire d’informatique théorique et quantique), and talents (Laboratoire d'Intelligence Artificielle pour la Cybersécurité). Brassard's research spans quantum computing, quantum and classical cryptography, foundations of quantum mechanics, and privacy protection. He pioneered quantum teleportation and quantum cryptography, demonstrating how quantum mechanics enables unconditionally secure communication. His work explores quantum advantages in computation, including algorithms that could break classical cryptography while quantum cryptography provides countermeasures. Key concepts he developed include quantum teleportation (inspiring Star Trek-like applications) and quantum pseudo-telepathy games. His recent publications reveal strong focus on quantum key distribution security proofs, relativistic cryptography for secure positioning, and privacy protection against data brokers. Trends show increasing emphasis on practical quantum cryptography implementations, noise resilience in quantum communication, and intersections with machine learning. The 2023-2025 articles particularly address real-world quantum security challenges and foundational quantum information questions. Gerhard-Herzberg Canada Gold Medal for Science and Engineering Killam Prize in Natural Sciences Officer of the Order of Canada Fellow of the Royal Society Brassard has supervised over 40 graduate students across quantum information topics, including quantum algorithms, entanglement simulation, and privacy-preserving systems. His current research is funded by major Canadian grants including NSERC Discovery Program ($20965), FRQNT Strategic Regroupments, and CIFAR. Recent projects include QUORUM (Québec Ontario Consortium on Quantum Protocols) and quantum machine learning initiatives. He leads the theoretical quantum information group within LITQ, focusing on quantum communication complexity and cryptographic applications of quantum phenomena.
Émilien Azéma is a Professor at the University of Montpellier since 2023, affiliated with the Department of Mechanics in the Faculty of Sciences and the Mechanics and Civil Engineering Laboratory (LMGC). Since 2024, he also holds an Associate Professor position at Polytechnique Montréal in the Department of Civil, Geological and Mining Engineering. Primary Institution: University of Montpellier, France Secondary Appointment: Polytechnique Montréal, Canada Research Recognition: French University Institute (IUF) Research Chair (2020-2025) Dr. Azéma received his complete education at the University of Montpellier, earning degrees in Mathematics, Solid Mechanics, and completing his Doctorate and Habilitation (HDR) in Mechanics. His doctoral research focused on railway ballast behavior using Discrete Element Method (DEM) simulations, supported by a joint CNRS and SNCF grant. Licence/Maîtrise (Master 1) in Mathematics DEA (Master 2) in Solid Mechanics Doctorate in Mechanics Habilitation (HDR) in Mechanics His research program centers on the micromechanics of granular systems with realistic microstructure. Using innovative Discrete Element Method (DEM) approaches, he systematically investigates the nonlinear effects of particle shape characteristics (angularity, non-convexity, elongation) and size polydispersity on granular rheology across flow regimes from quasi-static to rapid. His work extends to evolving granular systems where particles can fragment or undergo large deformations, with applications to geomechanical materials, industrial powders, and extraterrestrial granular systems. An analysis of his recent publications (2023-2025) reveals a strong emphasis on particle shape effects, cohesive strength mechanisms, and polydisperse system behavior. His research bridges fundamental granular physics with practical applications in railway engineering, planetary science (particularly asteroid regolith modeling), and geomechanics, appearing in high-impact journals including Physical Review E, Granular Matter, and Icarus. Dr. Azéma's significant research contributions have been recognized through: A prestigious Research Chair from the French University Institute (IUF) as Junior Member (2020-2025) An extensive publication record with 81 publications across multiple high-impact journals He teaches core courses in solid mechanics, numerical computation, finite element method, discrete approaches, and rheology of granular media. His administrative responsibilities include: International affairs coordinator at the Faculty of Sciences (since 2018) Responsible for the first year curriculum of the Mechanical Engineering Master's program (since 2021) His primary research laboratory is the Mechanics and Civil Engineering Laboratory (LMGC) at the University of Montpellier, where he conducts his investigations into granular media and solid mechanics phenomena, with significant collaborations extending to Polytechnique Montréal and international institutions.
Wilson Q. Wang is a Professor at Lakehead University's Department of Mechanical and Mechatronics Engineering, where he serves as Lakehead Research Chair, Director of Mechatronics Engineering, and PhD Graduate Program Coordinator. He founded and directs both the Intelligent Mechatronics Systems Lab and Electric Vehicle Lab, supported by CFI/ORF grants. With cross-appointment in Electrical and Computer Engineering, he maintains an adjunct professorship at the University of Waterloo. PhD, Mechatronics Engineering, University of Waterloo MEng, Industrial Engineering, University of Toronto MSc, Mechanical Engineering, Northeastern University, China BASc, Electro-mechanical Engineering, SIT, China Dr. Wang's research focuses on the intersection of artificial intelligence and mechanical systems, specializing in signal processing techniques for condition monitoring, fault diagnosis, and prognostics. His work develops intelligent control systems that enhance machinery reliability through early fault detection and predictive maintenance strategies. The research spans both theoretical development of novel algorithms and practical implementation in industrial settings, with particular emphasis on mechatronic systems and electric vehicles. His publication record demonstrates consistent contributions to high-impact journals including IEEE Transactions on Fuzzy Systems, IEEE Transactions on Instrumentation and Measurement, and IEEE/ASME Transactions on Mechatronics. The work shows an evolving trajectory from fundamental signal processing techniques toward increasingly sophisticated AI-driven prognostic systems, with growing emphasis on real-time implementation and industrial applications. CFI John Evens Leaders Grant Award (2022) Excellent Teaching Award, Lakehead University (2018) Distinguished Researcher Award, Lakehead University (2017) NSERC DG Accelerator Grant Award (2016) Innovation Award, Lakehead University (2015) Dr. Wang has supervised an extensive research team including 9 postdoctoral fellows, 15 PhD students, and nearly 40 MSc students. His research has been supported by multiple NSERC grants (DG, AG, CRD, DAS, EG, IG), CFI (JELF, NOF), ORF, and industry partners including Bombardier Transportation, Siemens Mahon Electric, and Techform Group. He serves as Associate Editor for several prestigious journals including IEEE/ASME Transactions on Mechatronics and IEEE Transactions on Instrumentation and Measurement. He directs two specialized research facilities: the Lab for Intelligent Mechatronic Systems (LIMS) and the Lab for Electric Vehicles (LEV), which support his team's work on smart sensors, fault diagnosis systems, and intelligent control applications across various mechanical and electromechanical systems.
Adrian Ilinca is a Professor at the Department of Mechanical Engineering within École de Technologie Supérieure (ÉTS), Université du Québec . His research focuses on Renewable Energy systems, particularly Wind Energy and Solar Energy , with specialization in Cold Climate Technology Adaptation , Energy Storage , and CO2 Capture solutions. Director: ÉDÉ – ÉTS Sustainable Energy Laboratory Research Axes: Sensors & Connectivity, Circular Economy, Intelligent Systems Key Expertise: Thermal Systems, Hybrid Energy, Wind Turbine Aerodynamics His academic contributions span Computational Fluid Dynamics , Machine Learning for energy systems, and Hybrid Renewable Technologies . Recent publications emphasize Hydrogen Liquefaction , Battery Storage Integration , and Wind Energy Optimization in extreme environments. As principal supervisor, he mentors over 20 graduate students in projects ranging from Wind Turbine Icing to Microgrid Decarbonization . His work frequently addresses Arctic Energy Challenges and Industrial Sustainability through innovative system design.
Simon Day is an Adjunct Professor in the Department of Engineering Physics at McMaster University. Since 1998, he has led the Reactor Analysis group at the McMaster Nuclear Reactor, focusing on experimental and computational nuclear reactor analysis. His research interests include: Reactor physics and safety analysis methodologies Code benchmarking against experimental data Positron beam-line design and optimization Criticality safety and reactor operations Computational simulations of nuclear systems His publications (2010-2024) demonstrate strong focus on reactor physics validation through experimental measurements and simulations. Recent work emphasizes computational fluid dynamics (CFD), gamma heating analysis, fuel depletion calculations, and code benchmarking. The research consistently integrates experimental data with simulation tools like Serpent-2, OSCAR-4, and PARET-ANL for reactor safety and optimization. He leads the Reactor Analysis group at McMaster Nuclear Reactor, conducting research in nuclear instrumentation, safety validation, and reactor operations. No awards, grants, or student advising details are mentioned in available sources.
Laurence Leung is an Adjunct Professor in the Department of Engineering Physics at McMaster University, specializing in nuclear engineering and thermal-hydraulics. His research focuses on heat transfer and critical heat flux (CHF) in supercritical fluids, particularly for Canadian SCWR (Supercritical Water-Cooled Reactor) designs. Key research areas: Nuclear Engineering, Thermal-Hydraulics, Heat Transfer, Fluid Dynamics, Reactor Design His scholarly activity highlights trends in SCWR development, CHF prediction models, and thermal-hydraulics safety analysis. Recent work includes collaborations with the IAEA, contributions to the Ninth International Symposium on SCWRs, and experimental studies on supercritical water and carbon dioxide flow behavior. Academic contributions include advanced modeling of reactor fuel geometries, validation of computational tools for heat transfer analysis, and international benchmarking of CFD simulations for tube and channel systems.
Michael D.C. Evans is an Assistant Professor in the Department of Oncology at McGill University and a Clinical Physicist at the Department of Medical Physics, McGill University Health Centre . His work bridges clinical practice and academic research in medical physics. Education : BA in Life Sciences from Queen's University (1981), MSc in Medical Physics from McGill University (1985) Research Interests include: HDR brachytherapy for cancer treatment Radiation safety protocols and Class II nuclear facility management Total body irradiation (TBI) technique development Dosimetry for eye plaque treatments in choroidal melanoma Innovation in Linac calibration using novel detectors Publications highlight his focus on Monte Carlo simulations for dosimetry, biological effectiveness of radiation modalities, and laser-induced ionizing radiation sources. His work spans clinical applications, computational modeling, and translational research. Scientific Awards : Fellow, Canadian College of Physicists in Medicine (FCCPM) since 1989 NY State License in Therapeutic Radiology (2002) Canadian Nuclear Safety Commission Certified Radiation Safety Officer (RSO) since 2010
David Ogborn is a Professor in McMaster University’s Department of Communication Studies and Media Arts within the Faculty of Humanities. He coordinates the Networked Imagination Laboratory (NIL) and teaches across undergraduate and graduate programs including Media Arts, Communication and New Media, and PhD in Communication, New Media, and Cultural Studies. His work bridges computational arts, live coding, and interdisciplinary research. Education: Not explicitly mentioned Current Appointments: Professor at McMaster University Research focuses on live coding environments, networked musical ensembles, and computational creativity. He has developed platforms like Estuary (collaborative live coding), Seis8s (localized computer-music language), and EspGrid (synchronization protocol). His interests include improvisation in digital settings and software as artistic medium. Recent scholarly activity spans 2012-2022, covering live coding pedagogy, collaborative platforms, and networked music systems. He has secured SSHRC Insight grants and Canada Foundation for Innovation support for NIL. Teaching includes digital audio, game design, and doctoral seminars. The Cybernetic Orchestra (laptop ensemble) remains active since 2010 with global collaborations. Professional contributions include multiple software tools (Estuary, NIL, EspGrid), international performances at live coding festivals, and publications in journals like Computer Music Journal and Journal of Music, Technology and Education . No scientific awards are mentioned in available records.
Dr. Alexander Ferworn is an Adjunct Professor in the Faculty of Computing and Software at McMaster University, specializing in computer science applications for public safety and emergency response systems. His work bridges robotics, human-computer interaction, and blockchain technology to address challenges in urban search and rescue, disaster relief, and medical data processing. His research focuses on integrating drones, haptic navigation systems, and virtual reality simulators to enhance emergency responder capabilities. Key contributions include frameworks for IED neutralization training ( Universal Simulation Platform ), blockchain-based aid delivery systems, and haptic feedback mechanisms for hazardous environments. He has extensively collaborated on projects involving canine-assisted technology and 3D disaster scene reconstruction. Dr. Ferworn’s scholarly activity spans 25 years with 126 publications in venues like IEEE International Conference on Safety, Security, and Rescue Robotics, IEEE GEM Conference, and Simulation & Gaming . His work has been referenced in patents and adopted by institutions like the Health Information Systems Research Centre . While specific teaching details remain unmentioned, his research portfolio demonstrates sustained engagement with disaster response systems since 1999.
Ross Upshur is an Adjunct Associate Professor in the Department of Family Medicine at McMaster University , specializing in interdisciplinary research at the intersection of Public Health Ethics , Global Health , and Clinical Epidemiology . His work critically examines evidence-based medicine frameworks, health equity in pandemic responses, and complex care models for chronic conditions.
Christopher Werner is an Adjunct Assistant Professor (part-time) in the Department of Earth, Environment & Society at McMaster University. His research focuses on hydrogeological systems, coastal aquifer dynamics, and paleoenvironmental reconstruction, with significant fieldwork in Mexico's Yucatan Peninsula. He investigates the impacts of extreme weather events on groundwater and utilizes geological proxies for climate studies. Research Interests: Werner's interdisciplinary work spans: Coastal aquifer sensitivity to hurricanes and tidal forces Karst hydrology and cave sedimentology as paleoenvironmental archives Lunar geophysics, including mantle convection and basalt distribution Innovative methods in groundwater monitoring and signal analysis Publication Trends: His recent articles (2015-2018) concentrate on Mexican coastal systems, analyzing hurricane impacts on aquifer salinity and calcite precipitation patterns. Earlier work includes foundational studies on lunar asymmetries (2002) and tidal influences on spring discharge (2005-2007). A 2015 biophysics paper reflects interdisciplinary collaboration.
