جست‌وجوی استاد و پژوهشگر

• Semiconductors
• Optoelectronics
• Photonics
• +۳ مورد دیگر

Jean-Pierre Landesman serves as an Adjunct Professor in the Department of Engineering Physics at McMaster University, with scholarly activity spanning over 30 years and recent publications extending to 2025. His work centers on semiconductor device physics, specifically III-V materials systems including InP and GaAs, with emphasis on experimental characterization of fabrication-induced mechanical effects. Landesman's research interests focus on semiconductor stress phenomena, optoelectronic device reliability, and photonic materials engineering. He specializes in spatially-resolved luminescence techniques (micro-photoluminescence, cathodoluminescence) to quantify mechanical strain in laser diodes and quantum well structures. Key areas include plasma etching damage analysis, silicon nitride film property optimization for photonics, and automotive-grade component qualification under high-temperature stress. Analysis of his 2021-2025 publications reveals consistent expertise in correlating mechanical stress with optical properties in III-V devices. He frequently employs finite element simulations (FEM) to model strain distributions from dielectric films and etching processes, publishing in journals like Journal of Vacuum Science and Technology, Applied Optics, and ECS Meeting Abstracts. His work bridges semiconductor processing, materials characterization, and device performance validation. No scientific awards or honors were documented in the provided text. Landesman instructs the graduate course ENGPHYS 723 (Semiconductor Diode Laser Physics) in 2025, 2024, 2022, and 2019. While his publication record indicates active research collaboration, the text lacks specifics about PhD/Master's students, grant funding, or project leadership. Automotive reliability studies suggest industry partnerships, but no funding sources are named. The provided information does not reference any dedicated laboratory, research team, or institutional facilities under his direct leadership.

Mohamed Husseinمشاهده پروفایل

دانشیار

• Road Safety Analysis
• Autonomous Vehicles
• Pedestrian Behavior
• +۳ مورد دیگر

Mohamed Hussein is an Associate Professor in the Department of Civil Engineering at McMaster University. His research focuses on road safety analysis , pedestrian and cyclist behavior , and autonomous vehicle interactions using advanced statistical and machine learning methods. Current affiliations: McMaster University Academic rank: Associate Professor His work spans disciplines like transportation engineering , machine learning , and urban mobility . Recent publications emphasize deep learning for collision prediction , Bayesian modeling of pedestrian risks , and safety optimization for autonomous vehicles . He employs data-driven frameworks to analyze real-world traffic scenarios and inform policy. Hussein’s teaching includes courses such as Traffic Analysis: Theory and Simulation (CIVENG 4TA4), Road Safety Analysis (CIVENG 709), and Engineering Systems (CIVENG 3C03), reflecting his expertise in transportation systems and safety.

• Water Quality & Resource Management
• Hydrological Modeling
• Environmental Science
• +۳ مورد دیگر

Amanjot Singh is an Adjunct Assistant Professor in the Department of Earth, Environment & Society at McMaster University. His research focuses on water resource management, environmental modeling, and hydrological systems, with publications spanning topics from Great Lakes water quality to sustainable infrastructure design. Research Interests: Professor Singh's work integrates environmental science with practical applications in water management. Key areas include: Water quality assessment and conservation strategies Hydrological model development (e.g., CANWET, HSPF) Low-impact stormwater infrastructure Ecosystem-based resource management Municipal water system sustainability Publication Focus: His recent articles emphasize applied environmental science, featuring spatial analysis of Lake Ontario, comparative model evaluations, and infrastructure challenges. Research consistently addresses Ontario-specific environmental concerns while developing scalable methodologies.

Martin George Von Mohrenschildtمشاهده پروفایل

دانشیار

• Control Theory
• Software Engineering
• Autonomous Driving
• +۱۰ مورد دیگر

Dr. Martin George Von Mohrenschildt is an Associate Professor in the Department of Computing and Software at McMaster University's Faculty of Engineering. He actively contributes to interdisciplinary research spanning control theory, autonomous systems, biomedical signal processing, and cognitive neuroscience. His academic work focuses on Hybrid control systems for robotics and autonomous vehicles Neural correlates of multisensory integration in human perception Wavelet and model-free approaches to mechanical systems analysis Sensor fusion techniques for autonomous driving Human factors in transportation and virtual reality training Recent publications (2025-2024) highlight Domain adaptation for electric motor vibration analysis Multi-sensor autonomous driving datasets (CMHT) Wavelet-based damping estimation in dynamic systems EMG biofeedback applications for muscle interventions Landmark-specific route navigation in simulated environments Dr. Von Mohrenschildt has maintained continuous teaching engagement since 2017, delivering graduate courses in Time Series Analysis (CAS 748), Intelligent Control (MECHTRON 6AX3/4AX3), Signals and Systems (SFWRENG 3MX3), and Advanced Computing Topics (CAS 781).

• Machine Learning
• Transcriptomics
• Epigenomics
• +۷ مورد دیگر

Gregory Fonseca, PhD is an Assistant Professor in the Department of Medicine at McGill University's Faculty of Medicine and Health Sciences. He serves as a Scientist at the Research Institute of the McGill University Health Centre (RI-MUHC) at the Glen site, where he is affiliated with the Translational Research in Respiratory Diseases Program within the Centre for Translational Biology. Dr. Fonseca's research focuses on understanding inflammatory processes in lung diseases through computational approaches. His work integrates machine learning with next-generation sequencing data to analyze cytokine activation patterns and deconvolute inflammatory responses in resident macrophage populations. His research spans several key areas including machine learning applications in biology, transcriptomics, epigenomics, and alveolar macrophage biology. His publication record demonstrates expertise in computational analysis of inflammatory responses, with recent work focusing on cell type deconvolution in spatial transcriptomics, sequence-to-expression modeling, and the relationship between epigenetic age and cardiorespiratory fitness in individuals with airflow limitation. His research bridges computational biology with respiratory medicine to understand disease mechanisms at the molecular level. Dr. Fonseca maintains active collaborations across multiple research groups at McGill University and the RI-MUHC, contributing to the institution's strong research profile in respiratory diseases and computational biology.

• Digital Design
• Advanced Fabrication
• Structural Form-Finding
• +۵ مورد دیگر

Andrei Nejur is an Associate Professor at the School of Architecture within the Faculty of Environmental Design at the University of Montreal, where he maintains an active research and teaching practice. He directs the LAIR (Laboratory in Architecture, Computer Science and Robotics) and also runs his own architecture firm, N2 Arhitectura SRL. His research focuses on digital design, advanced fabrication techniques, and structural form-finding through 3D graphic statics. He has developed significant software tools including Ivy for Rhino/Grasshopper for mesh segmentation and PolyFrame, the first 3D graphic statics platform dedicated to structural form-finding using reciprocal polyhedral structures. His expertise spans thin-sheet architectural structures, geometric methods for structural design, fabrication-sensitive structural form-finding, and circular design methods for non-standard forms. His recent publications reveal a strong emphasis on sustainable and innovative architectural solutions, with particular focus on aluminum folding techniques, reclaimed materials for temporary shelters, and digital fabrication methods for curved architectural skins. His work consistently bridges theoretical computational approaches with practical architectural applications. Fulbright Postdoctoral Fellowship at UC Berkeley - College of Environmental Design (2015-2016) Postdoctoral Fellowship at University of Pennsylvania - School of Design (2018) Nejur leads multiple significant research projects including 'Digital fabrication for environmentally conscious architectural structures' (2022-2029), 'Development of construction systems promoting increased use of wood in Quebec construction' (2023-2028), and 'Deep Skins: Development of sheet-based fabrication strategies for volumetric structural envelopes' (2022-2025), supported by substantial funding from the Canadian Foundation for Innovation, NSERC, and FRQNT. His LAIR laboratory recently received $516,000 from the Canada Foundation for Innovation to develop robotic fabrication infrastructure. He directs the LAIR laboratory where innovative projects like the Cnidaria research pavilion (2024) are developed, featuring a 25m² aluminum shell produced through innovative construction methods for curved architectural surfaces based on manual folding and assembly techniques.

Christopher Sunمشاهده پروفایل

استادیار

• Optimization
• Artificial Intelligence
• Public Health
• +۳ مورد دیگر

Christopher Sun is an Assistant Professor at the University of Ottawa Telfer School of Management and a Scientist at the University of Ottawa Heart Institute (UOHI) . He holds a cross-appointment at the University of Ottawa School of Electrical Engineering and Computer Science and is an Adjunct Scientist at the Institute of Mental Health Research at The Royal (IMHR) . B.A.Sc.EngSci in Biomedical Engineering (University of Toronto) Ph.D. in Industrial Engineering (University of Toronto) Postdoctoral Fellowship at MIT's Sloan School of Management His research integrates optimization , machine learning , and simulation techniques to redesign healthcare systems and public health policies, with a focus on health equity . Collaborations include Massachusetts General Hospital, Boston EMS, and Gentofte Hospital. Professor Sun has received prestigious awards including the CIHR Vanier Canada Graduate Scholarship , American Heart Association Young Investigator Award , and the Citizen CPR Foundation 40 Under 40 Class of 2021 . He actively mentors undergraduate, Master's, and PhD students and offers opportunities for postdoctoral scholars through joint positions at Telfer and UOHI.

Brian Boigonمشاهده پروفایل

دانشیار

• Nonlinear Urbanism
• Quantum Mechanics
• Locomotive Dynamical Systems
• +۴ مورد دیگر

Brian Boigon is an Associate Professor at the John H. Daniels Faculty of Architecture, Landscape and Design at the University of Toronto, where he runs the Inner Outer Space Lab and sits on the Toronto MOCA board. His work bridges art, architecture, and technology, focusing on interdisciplinary projects like The Interopera and Nonlinear Urbanism . Boigon’s practice spans installations, digital media, and theoretical writing, exploring themes such as quantum mechanics, urban futurism, and computational scripting. Education: B.Arch from the University of Toronto (1976-1980) and studies at Ontario College of Art (1973-1976). Research interests include nonlinear systems, sci-fi narratives, and the intersection of art/architecture with technology. Recent projects include The Magic of Membranes (2021) and the 2023 Stag series of 3D-printed sculptures. His works are in collections like the Canadian Centre for Architecture and have been exhibited globally, including at the Art Gallery of Ontario and Kunstverein Stuttgart. Publications include a digital/analogue book on Nonlinear Urbanism (Birkhäuser, 2017) and contributions to The Interopera project. Current work explores sound/video projects and the Interopera art book/reader.

Eduardo Souza-Rodriguesمشاهده پروفایل

دانشیار

• Environmental Economics
• Industrial Organization
• Econometrics
• +۳ مورد دیگر

Eduardo Souza-Rodrigues is an Associate Professor and Associate Chair in the Department of Economics at the University of Toronto . His research focuses on Industrial Organization , Environmental Economics , and Econometrics . He holds a Ph.D. (Yale 2012), an M.Sc. (Sao Paulo 2003), an M.A. (Yale 2008), and a B.A. (Sao Paulo 2000). Education: Ph.D. in Economics, Yale University, 2012 M.Sc. in Economics, University of São Paulo, 2003 M.A. in Economics, Yale University, 2008 B.A. in Economics, University of São Paulo, 2000 His research investigates environmental policy design, structural econometric methods, and their applications to agricultural and resource economics. Key themes include genetically modified crops’ environmental impacts, Amazon rainforest conservation strategies, and optimal policy targeting using satellite data and Hidden Markov models. His work bridges theoretical econometric frameworks with real-world policy analysis. Recent publications emphasize environmental policy evaluation, counterfactual analysis in dynamic discrete choice models, and deforestation modeling. He is a research affiliate at the Forward Society Lab (FOS) and the Centre for Economic Policy Research (CEPR) . Teaching responsibilities include courses such as ECO375H5F and ECO475H5S. His research has been supported by grants focused on environmental and developmental economics.

Jonathon Andersonمشاهده پروفایل

دانشیار

• Robotics
• Computation
• Fabrication
• +۶ مورد دیگر

Jonathon Anderson is an Associate Professor of Interior Design and Director of the Design + Technology Lab at Toronto Metropolitan University’s School of Interior Design. His research explores the intersection of industrial manufacturing, CNC technologies, and artistic processes, emphasizing innovative design solutions that blend technology, art, and corporeal experiences. He holds a BSc and MFA, though specific disciplines are not detailed in the text. Anderson’s work focuses on Robotics , Computation , and Fabrication , with a focus on collapsing digital and physical design boundaries. He has authored or edited influential books such as Digital Fabrication in Interior Design (2021) and Innovations in Landscape Architecture (2016). His creative exhibitions include Mr. Roboto (2024) and collaborations with artists like KROY, exploring robotic clay and digital narratives. His peer-reviewed publications address topics like placemaking’s impact on behavior and spatial design. While no academic awards are listed, his exhibitions and publications underscore his contributions to design innovation. Anderson directs the Design + Technology Lab, fostering cross-disciplinary projects in design and technology.

Brian Fisherمشاهده پروفایل

دانشیار

• Visual Analytics
• Human-Computer Interaction
• Cognitive Systems
• +۳ مورد دیگر

Brian Fisher is Associate Professor in the School of Interactive Arts and Technology at Simon Fraser University, where he directs the SCIENCE Lab (Spatial Cognition and Interactive Expertise) and co-directs the Visual Analytics Research Lab (VAR Lab). Research focuses on: Perception-cognition interaction in visual analytics Cognitive engineering for complex decision-making Collaborative interfaces for emergency management Human-AI interaction paradigms His translational research bridges cognitive science and visualization design, with applications in aerospace safety, environmental monitoring, and security administration.

Andrew Petersenمشاهده پروفایل

استاد

• Computer Science Education
• Educational Technology
• Introductory Programming Education
• +۳ مورد دیگر

Andrew Petersen is a Professor, Teaching Stream and Vice Chair (Computer Science) in the Department of Mathematical and Computational Sciences at the University of Toronto Mississauga (UTM). He holds a cross-appointment in the Institute for the Study of University Pedagogy. His academic roles include directing teaching initiatives and serving on UTM’s leadership teams, including Acting Vice-Dean and Acting Associate Dean roles. Petersen earned his MSc in Computer Science from the University of Washington. Research Interests: His work focuses on computer science education, particularly introductory programming courses and teaching methodologies. He emphasizes active learning, student engagement, and the use of technology to enhance educational outcomes. His research group investigates topics like self-explanation, gamification, and the impact of AI on education. Publications: Petersen’s recent work includes studies on educational technology, such as the efficacy of videos, voice-based learning, and AI-driven interventions. His research trends highlight innovative methods to address student challenges in computing education. Awards: UTM Teaching Excellence Award, U of T President’s Teaching Award, OCUFA Teaching Award Advising & Grants: Co-supervises PhD student Angela Zavaleta Bernuy. His work often involves collaborative projects with students on educational tools and interventions, supported by grants exploring topics like formative feedback and student motivation. Labs/Teams: Member of the U of T CS Education Research Group, contributing to conferences like ICER and Koli Calling.

Masoud Ataeiمشاهده پروفایل

استادیار

• Statistical Modeling
• Financial Mathematics
• Machine Learning
• +۵ مورد دیگر

Masoud Ataei is an Assistant Professor, Teaching Stream in the Department of Applied Statistics at the University of Toronto's Mathematical and Computational Sciences school. His research spans statistical geometry, financial chaos indices, neural network optimization, and spatio-temporal systems analysis. He holds a position focused on teaching excellence within the applied statistics discipline. Research interests include developing mathematical frameworks for complex systems analysis, with applications in finance, materials science, and biomedical signal processing. His work emphasizes interpretable machine learning models and optimization algorithms for high-dimensional data. Key contributions involve the Financial Chaos Index for market volatility modeling and the GEOM-BP algorithm for bin packing problems. Publications demonstrate interdisciplinary impact across mathematics, computer science, and finance. No scientific awards are listed, but his active publication record reflects ongoing research productivity. Advising and grant activities are not detailed in available information.

Roberto Abrahamمشاهده پروفایل

استاد

• Galaxy Evolution
• Observational Cosmology
• Low Surface Brightness Universe
• +۵ مورد دیگر

Roberto Abraham is a Professor and Chair of the David A. Dunlap Department of Astronomy and Astrophysics at the University of Toronto, affiliated with the Faculty of Arts and Science. He holds a PhD from the University of Oxford (1992) and has conducted postdoctoral research at the National Research Council of Canada and Cambridge University. His research focuses on galaxy evolution, observational cosmology, and developing novel instruments like the Dragonfly Telephoto Array. He has led projects such as the Gemini Deep Deep Survey (GDDS), discovering high-redshift galaxies and pioneering automated galaxy classification systems (e.g., CAS and Gini-M20 parameters). Abraham has received prestigious awards including the Jackson-Gwilt Medal (Royal Astronomical Society), P. G. Martin Award, and Killam Research Fellowship. He has served on advisory boards for NASA’s James Webb Space Telescope and international observatories. His work combines observational astronomy with instrument innovation, addressing questions about galaxy morphology, dark matter content, and low-surface-brightness phenomena. He actively engages in public outreach, serving as Honorary President of the Royal Astronomical Society of Canada’s Toronto Centre. Abraham’s research group uses the Dragonfly Array to study ultra-diffuse galaxies and their dark matter properties, as well as leveraging JWST and Keck observations. His grants include funding from the Canada Foundation for Innovation for expanding the Dragonfly Spectral Line Mapper. He advises graduate students exploring galaxy evolution, instrument design, and computational astronomy techniques.

Jingyuan Zhaoمشاهده پروفایل

استادیار

• Artificial Intelligence
• Healthcare Technology
• Big Data Analytics
• +۵ مورد دیگر

Jingyuan Zhao is an Assistant Professor, Teaching Stream at the University of Toronto, specializing in the intersection of technology, education, and innovation. His research focuses on generative AI, healthcare technology, big data analytics, and collaborative systems. He explores how emerging technologies like IoT and AI can transform industries such as healthcare, education, and global business operations. Dr. Zhao’s work also examines organizational transformation through virtual teamwork and digital ecosystems, emphasizing competitive strategies in challenging environments. His research integrates case studies from China and global contexts, analyzing regional innovation patterns, biopharmaceutical clusters, and vocational education reforms. He has contributed to understanding international market entry strategies for pharmaceutical firms and the governance of IT systems in developing economies. Dr. Zhao’s publications highlight trends in AI-driven collaboration, e-collaboration during global crises, and the application of cognitive technologies. His recent work emphasizes the convergence of medical IoT and generative AI to enhance healthcare delivery systems. Though no formal awards or grants are listed, his extensive academic output reflects a commitment to advancing knowledge in technology-driven innovation and education.