جست‌وجوی استاد و پژوهشگر

Wenbo Zhengمشاهده پروفایل

دانشیار

• Geotechnical Engineering
• Geomechanics
• Geo-energies
• +۱۶ مورد دیگر

Dr. Wenbo Zheng is an Associate Professor in Geotechnical Engineering at the University of Northern British Columbia (UNBC), within the School of Engineering. He leads the Resource Geotechnics Research Group, focusing on the intersection of geo-resource development and geohazard mitigation. His research is supported by prestigious grants from NSERC, Mitacs, CFI, and industry partners like Gibraltar Mines Ltd. PhD: University of British Columbia, Kelowna MEng & BEng: Tongji University, China Professional: PEng (EGBC) Dr. Zheng's primary research interests are in geomechanics , applying advanced experimental, computational, and field monitoring techniques to solve complex problems. His work spans geo-energies (shale gas, geothermal) and geohazards (landslides, tunnelling). He specializes in integrating laboratory characterization (e.g., X-ray CT, instrumented indentation) with numerical modelling (e.g., DEM, CFD-DEM, LBM-DEM) to understand the fundamental behavior of geomaterials. His recent publications reveal a strong trend in using coupled computational methods to simulate complex geomechanical processes. A significant focus is on proppant behavior in hydraulic fracturing, examining crushing, embedment, and conductivity in formations like the Montney. Another major theme is the stability of slopes and underground structures , particularly in karst terrain and under reservoir fluctuations, often using advanced monitoring and simulation techniques. His work on internal erosion and suffusion using DEM-DFM coupling highlights his expertise in granular flow mechanics. NSERC Discovery Grant NSERC Research Tools and Instruments (RTI) Grant NSERC Alliance International Grant (2022, 2023) Outstanding Reviewer Award, Elsevier – International Journal of Mining Science and Technology UNBC Research Project Award Dr. Zheng actively supervises PhD and Master’s students in the NRES and Engineering programs, guiding research on topics like liquefaction flow slide simulations, tailings dam stability, and hydraulic fracturing. He has successfully mentored students who have published in high-impact journals and won presentation awards. His lab is equipped for advanced material characterization, supported by an NSERC RTI grant, and he collaborates extensively with researchers at UBC and internationally. Current and future work includes repurposing hydrocarbon formations for geothermal energy and advancing LBM-DEM coupling for soil erosion studies. Dr. Zheng leads the Resource Geotechnics Research Group, which conducts physical modelling of landslides and laboratory testing on rock mechanics. The group is actively involved in projects funded by NSERC, Mitacs, and industry, focusing on both fundamental science and practical engineering solutions for geo-resources and geohazards.

Brian Fristenskyمشاهده پروفایل

دانشیار

• Bioinformatics
• Plant Biotechnology
• Plant Genomics
• +۷ مورد دیگر

Brian Fristensky is an Associate Professor in the Department of Plant Science at the University of Manitoba, Faculty of Agricultural and Food Sciences. His research and teaching focus on plant biotechnology, bioinformatics, and plant genomics, particularly in the context of plant-microbe interactions and defense mechanisms. Institution: University of Manitoba School: Faculty of Agricultural and Food Sciences Department: Department of Plant Science Position: Associate Professor Office: 330 Agriculture Building, Fort Garry Campus Contact: 204-474-6852 / 204-474-6085; brian.fristensky@umanitoba.ca; frist@cc.umanitoba.ca Education A.B., Cornell University, 1980 Ph.D., Washington State University, 1987 Research Interests Dr. Fristensky's research centers on bioinformatics and plant biotechnology, with a strong emphasis on molecular biology of plant defense mechanisms. His work spans computational biology, genomics, and genetic engineering, particularly in developing tools for bioinformatics analysis and understanding plant responses to pathogens. He leads the Fristensky Lab, which develops the BIRCH bioinformatics system and BioLegato interface. Recent Research Trends His recent publications (2021–2023) show continued innovation in bioinformatics software development, including the BioLegato interface and educational tools for data science. Earlier work (1999–2006) focused on transgenic approaches to enhance disease resistance in canola using pea defense genes, and the functional analysis of PR10 proteins in stress tolerance. His research integrates computational and experimental biology, with applications in crop improvement and sustainable agriculture. Scientific Awards No awards explicitly mentioned in the provided texts. Advising and Grants Dr. Fristensky advises undergraduate and graduate students, offering opportunities for thesis work and summer research in his lab. He supports students in the Plant Biotechnology Program and teaches core courses in biotechnology, cytogenetics, and bioinformatics. He assists researchers in writing the bioinformatics components of grant proposals, indicating active grant-related mentoring and collaboration. Labs and Teams He leads the Fristensky Lab (Bio Information Technologies Laboratory), which develops the BIRCH (Biological Research Computer Hierarchy) system—a comprehensive desktop bioinformatics platform. The lab focuses on software tools for genome assembly, transcriptomics, systems biology, database management, and data pipelines. The BioLegato interface serves as a programmable GUI for launching and chaining bioinformatics programs. The lab also engages in training and collaborative research, particularly in biofuels and data science education.

Mark-David Hosaleمشاهده پروفایل

دانشیار

• Computational Art
• Interactive Architecture
• Worldmaking
• +۷ مورد دیگر

Mark-David Hosale is an Associate Professor and Chair of Computational Arts at York University's School of the Arts, Media, Performance & Design (AMPD). He holds a BA in Music Composition from UC Santa Barbara. His work bridges computational art, performance, and architecture, focusing on worldmaking through interdisciplinary collaborations. Education: BA - Music Composition (UC Santa Barbara) Key Roles: Chair of Computational Arts, nD::StudioLab Director Research Labs: nD::StudioLab Research interests include the intersection of virtual and physical worlds, using digital fabrication and hardware/software integration to create immersive art. His theoretical practice centers on worldmaking —artworks that propose ontological alternatives through sensory experiences. Notable collaborations include the IceCube Neutrino Observatory and the PACIS project. His exhibitions span venues like SIGGRAPH, Dutch Electronic Art Festival, and Venice Biennale. Labs/Teams: nD::StudioLab, PACIS collaboration Grants: Multiple undisclosed research grants Labs include the nD::StudioLab, an experimental space for ArtScience research-creation.

Vida Saeedzadehمشاهده پروفایل

پژوهشگر

• Computational Astrophysics
• Cosmological Hydrodynamical Simulations
• Galaxy Formation and Evolution
• +۵ مورد دیگر

Vida Saeedzadeh is an Assistant Research Scientist at Johns Hopkins University and the Space Telescope Science Institute. Her research focuses on computational astrophysics, particularly cosmological hydrodynamical simulations exploring galaxy formation and evolution, the dynamics of the circumgalactic medium (CGM), and supermassive black hole mergers. She holds a Ph.D. in Astrophysics from the University of Victoria (2024), where her doctoral work investigated the origins of the CGM's multiphase structure and dual AGN systems. Her current projects include enhancing CGM resolution in simulations and predicting observables for nano-hertz gravitational waves using the Romulus and FOGGIE simulations. Key research areas include analyzing CGM multiphase dynamics via perturbations from substructures, dual AGN demographics, and host galaxy properties of gravitational wave sources. She collaborates extensively, including with Dr. Suvodip Mukherjee on linking GW signals to galaxy surveys. Her computational methods leverage high-performance computing and modified GIZMO codes to improve simulation efficiency and realism. Her work has been presented at institutions like the Max Planck Institute for Astronomy and the Flatiron Institute. She emphasizes bridging computational models with observational predictions, such as JWST detectability of dual AGNs and SKA-era GW studies.

Mina Hoorfarمشاهده پروفایل

استاد

• Microfluidic Technologies
• Nanotechnology
• Sensing Materials
• +۷ مورد دیگر

Mina Hoorfar is the Dean of Engineering and Computer Science and a Professor in the Mechanical Engineering Department at the University of Victoria (UVic). She holds a BASc from the University of Tehran, MASc and PhD from the University of Toronto (U of T), and is a Professional Engineer (P.Eng). Her research focuses on advancing surface science and microfluidic technologies, with specialization in nanostructured sensors for gas monitoring, hydrogen detection in natural gas, wearable health diagnostics, and micro/nano-encapsulation for pharmaceutical applications. Her research areas include: Nanostructured microfluidic artificial olfaction for real-time gas monitoring Hydrogen monitoring in hydrogen-blended natural gas Breath analysis for health and safety applications Wearable microfluidic sensing for personal health Micro/nano-encapsulation in food and pharmaceuticals Current team members: 13 researchers. Lab spaces: Two specialized labs focusing on Advanced Sensors and Advanced Drug Delivery. The MiNa Lab collaborates with industry partners to develop innovative solutions in sensing technologies and biomedical engineering. Advising and grants: While specific grants are not listed, her work reflects significant industry and academic collaboration. The lab emphasizes high-throughput microfluidic synthesis, 3D bioprinting for neural models, and sensor integration with machine learning. Labs/Teams: The MiNa Lab at UVic is a leader in microfluidic sensor development, with dual lab spaces dedicated to advancing sensor technologies and drug delivery systems through cutting-edge research and industry partnerships.

• Applied Mathematics
• Scientific Computing
• Nonlinear Waves
• +۳ مورد دیگر

Xinyu Zhao serves as an Assistant Professor in the Department of Mathematical Sciences at the New Jersey Institute of Technology (NJIT), where his research focuses on applied mathematics and scientific computing with emphasis on nonlinear wave phenomena. His academic journey includes: Undergraduate studies at Beijing Normal University Ph.D. in Mathematics from the University of California, Berkeley under advisor Jon Wilkening Postdoctoral fellowship at McMaster University's Department of Mathematics and Statistics with Bartosz Protas Dr. Zhao's research program centers on advanced mathematical analysis of nonlinear wave systems, investigating critical phenomena such as traveling wave dynamics, finite-time singularity formation in fluid equations, and solution stability properties. His methodology integrates rigorous analytical techniques with high-performance scientific computing to address fundamental challenges in mathematical physics. Based in Cullimore Hall 609 at NJIT, he maintains active research collaborations though specific grant details and laboratory infrastructure are not documented in the available materials.

Julien Arinoمشاهده پروفایل

استاد

• Mathematical Epidemiology
• Mathematical Population Dynamics
• Data Science
• +۳ مورد دیگر

Julien Arino is a Professor in the Department of Mathematics at the University of Manitoba , specializing in Mathematical Epidemiology and Mathematical Population Dynamics . He is an active member of the Mathematical Biology group and focuses on the role of movement in disease transmission, with applications to both human and animal health. Department of Mathematics Faculty of Science University of Manitoba His research spans: Metapopulation dynamics with explicit movement Multi-pathogen and multi-species transmission modeling Computational epidemiology with data science integration Evaluation of travel control measures for disease variants Recent work includes publications on: Cholera transmission in Chad Multi-species bovine tuberculosis dynamics Measles resurgence patterns Software tools for R compilation and data visualization He maintains a public YouTube channel with lecture videos on Mathematical Epidemiology and contributes open-source code for scientific computing in R and Python. His methodological contributions include novel approaches to plot formatting and computational efficiency in epidemic modeling.

Ralf Meyerمشاهده پروفایل

استاد پژوهشی

• Computational Materials Science
• Nanomaterials
• High-Performance Computing
• +۲ مورد دیگر

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
• +۵ مورد دیگر

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.

Chibueze Amanchukwuمشاهده پروفایل

استادیار

• Electrochemistry
• Energy Storage
• Battery Technology
• +۴ مورد دیگر

Chibueze Amanchukwu serves as Assistant Professor at the Pritzker School of Molecular Engineering, University of Chicago, where he leads the Amanchukwu Lab focused on electrolyte design for sustainable energy technologies. His research integrates experimental and computational approaches to address critical challenges in battery systems and electrocatalytic CO 2 conversion, with significant contributions to fluorinated electrolytes, solid-state systems, and AI-driven materials discovery. His educational background includes: PhD in Chemical Engineering from Massachusetts Institute of Technology B.S. in Chemical Engineering from Texas A&M University Dr. Amanchukwu's research program centers on manipulating ion solvation phenomena to control electrochemical processes. His group pioneers strategies for converting CO 2 into valuable chemicals using renewable energy, while simultaneously developing next-generation electrolytes for high-energy-density batteries. Key innovations include solvent-free molten salt electrolytes, PFAS-free alternatives, and AI-accelerated electrolyte property prediction. His work bridges fundamental interfacial science with practical applications in decarbonization and energy storage. Analysis of his publication record reveals a clear trajectory toward integrating machine learning with experimental electrolyte science, particularly for ionic conductivity prediction and novel material discovery. Recent work emphasizes environmentally sustainable alternatives and solvent-free systems that address safety and performance limitations in conventional battery technologies. His scientific recognition includes: NSF CAREER Award (2022) ECS Toyota Young Investigator Fellowship (2021) DOE Early Career Award (2023) MIT Technology Review Innovators under 35 (2024) CIFAR Azrieli Global Scholar (2022-2024) Dr. Amanchukwu actively mentors PhD students, having graduated three doctoral candidates while supervising numerous undergraduates and postdoctoral scholars. His lab secures substantial funding including the NSF CAREER Award and DOE Early Career Award, supporting both fundamental research and impactful outreach initiatives like the RENEU program for Nigerian undergraduates. The group maintains strong collaborations with Argonne National Laboratory and industry partners including BASF and BMW. The Amanchukwu Lab operates advanced facilities for battery fabrication, electrocatalysis testing, and materials characterization. Through the RENEU program and US-Nigeria PhD workshops, the lab actively builds international research capacity while maintaining strong community engagement through Museum of Science and Industry events and Chicago-area STEM initiatives.

Michael Rainbowمشاهده پروفایل

دانشیار

• Biomechanics
• Imaging
• Computational Modeling
• +۵ مورد دیگر

Michael Rainbow is an Associate Professor in the Department of Mechanical and Materials Engineering at Queen's University, Faculty of Engineering and Applied Science. His research focuses on biomechanics, imaging, and computational modeling of musculoskeletal systems. Research Interests : Biomechanics, Imaging, Computational Modeling Email : michael.rainbow@queensu.ca His recent work (2025) examines scapular kinematics , foot-ankle adaptation , and joint power dynamics using advanced imaging techniques like biplanar videoradiography and 4D CT . Key themes include load direction effects , muscle-tendon interactions , and standardization of imaging protocols . He contributes to the Centre for Health Innovation and develops tools for model-based pose estimation and kinematic validation . His studies span shoulder pathology , foot mechanics , and human locomotion , with applications in arthritis research and wearable technology.

Diane Wowkمشاهده پروفایل

دانشیار

• Finite Element Analysis
• Structural Engineering
• Impact Simulation
• +۳ مورد دیگر

Diane Wowk is an Associate Professor in the Department of Mechanical and Aerospace Engineering at the Royal Military College of Canada (RMC), where she has served since September 2008. Her expertise spans structural analysis, finite element methods, and nuclear fuel mechanics with a focus on practical aerospace and defense applications. Prior to RMC, she spent five years as an Engineering Analyst in industry. Her research interests emphasize design methodology using finite element analysis , simulation of impact events , fatigue and crack growth , and mechanical behavior of nuclear fuel bundles . She investigates structural integrity through advanced computational modeling, particularly in aerospace components and nuclear systems, with significant work on composite materials and high-rate deformation phenomena. Her scientific contributions include: Canadian Council of Professional Engineers - Manulife Financial Scholarship (2006) National Science and Engineering Research Council (PhD) funding (2004-2006) Canadian Urban Transportation Authority's Award for Technical Advancement (2001) Professor Wowk teaches core mechanical engineering courses including Finite Element Methods (MEE407), Stress Analysis (MEE431), and Advanced Finite Element Methods (ME547). She directs the Numerical Lab Mech Dome, utilizing ANSYS for finite element simulations. Her industry background informs practical research approaches, particularly in predicting residual strength in impact-damaged aerospace panels and nuclear fuel bundle deformation.

Andrew Tanentzapمشاهده پروفایل

استاد

• Ecology
• Evolution
• Environmental Science
• +۵ مورد دیگر

Dr. Andrew Tanentzap is a Professor and Tier 2 Canada Research Chair in Climate Change and Northern Ecosystems at Trent University, with a research group affiliated with the University of Cambridge's Department of Plant Sciences and Zoology. His interdisciplinary work bridges ecology, environmental science, and climate change impacts on northern regions. Research focuses on: Species adaptation to global environmental change Consequences for land/water ecosystem health Aquatic food web dynamics Carbon cycling in boreal and Arctic systems Biodiversity patterns across spatial-temporal scales Effectiveness of landscape restoration initiatives Major recognition includes: Tier 2 Canada Research Chair (2021-present) He leads an active research team with 4 postdoctoral fellows and 4 graduate students at Trent, plus additional members at Cambridge. Lab capabilities include: Molecular analysis (DNA sequencing, organic matter characterization) Ecosystem function measurements (gas fluxes, productivity) High-performance computing resources Research informs climate adaptation policies supporting northern Indigenous communities through collaborations with government agencies and international institutions.

Youcef Derbalمشاهده پروفایل

دانشیار

• Complex Adaptive Systems
• Cancer Modeling
• Machine Learning in Oncology
• +۴ مورد دیگر

Dr. Youcef Derbal is an Associate Professor in the Department of Information Technology Management at Toronto Metropolitan University's Ted Rogers School of Information Technology Management. With a Ph.D. in Electrical and Computer Engineering from Queen's University, he brings extensive industry experience from robotics, telecommunications, and software sectors to his academic work. His research focuses on Complex Adaptive Systems, particularly in modeling cancer dynamics through agent-based simulations, machine learning applications for oncology, and computational frameworks for biological processes. Key research areas include tumor dynamics, cell signaling pathways, and tumor-infiltrating lymphocyte recruitment. Dr. Derbal teaches undergraduate courses in business information systems, programming, system analysis, database design, and client-server applications, along with graduate-level advanced project management. His publication record shows consistent output in computational biology, cancer modeling, and grid computing since 2006. Professional affiliations include: Association for Computing Machinery (ACM) Institute of Electrical and Electronics Engineers (IEEE) International Society for Computational Biology (ISCB) Administrative contributions include service on University Senate, chairing multiple departmental committees, leading the Business Technology Management curriculum development (2009-2014), and serving as School Director during 2013/2014.

Jean Mahseredjianمشاهده پروفایل

استاد

• Electrical Networks
• Electromagnetics
• Circuit Theory
• +۴ مورد دیگر

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)