جستجوی استاد راهنمای دانشگاهی

• Bioinformatics
• Health Informatics
• Affective Computing
• +۳ مورد دیگر

Dr. Stamos Katsigiannis is an Associate Professor in the Department of Computer Science at Durham University. His research focuses on bioinformatics, health informatics, affective computing, and GPU computing. He holds a BSc, MSc, and PhD in Computer Science from the University of Athens and the Athens University of Economics and Business. Before Durham, he was a Postdoctoral Research Fellow and Lecturer at the University of the West of Scotland (2016–2020). His work spans biometric identification via EEG signals, medical image analysis, and deep learning applications in healthcare. Education: BSc (Hons.) in Informatics and Telecommunications from National and Kapodistrian University of Athens MSc in Computer Science from Athens University of Economics and Business PhD in Computer Science from National and Kapodistrian University of Athens Research interests include bioinformatics (e.g., microarray analysis), health informatics (e.g., ECG-based emotion modeling), and GPU computing for real-time applications. He has pioneered studies on EEG-based biometrics and affect recognition in human-horse interaction. Recent articles explore chest X-ray classification using deep learning , AI-generated content detection , and trajectory prediction with graph networks . His research emphasizes interdisciplinary applications of machine learning in healthcare and education. He advises six postgraduate students and collaborates on UK parliamentary AI governance reports. Notable contributions include the BED EEG dataset and the DREAMER emotion recognition database.

Ngo Van Longمشاهده پروفایل

استاد

• Environmental Economics
• Game Theory
• Natural Resource Economics
• +۶ مورد دیگر

Professor Ngo Van Long (1948–2022) was a Full Professor of Economics at McGill University and later held the prestigious James McGill Professorship. Born in Vietnam, he pursued higher education in Australia before joining McGill in 1989. His work focused on natural resource economics, environmental policy, game theory, and dynamic games, addressing global challenges like climate change, sustainable resource use, and intergenerational equity. He contributed over 190 articles and 8 books, including seminal works on dynamic optimization and differential games. His research emphasized cooperative norms like Kantian behavior to foster sustainable solutions. Education: Began academic career at Australian National University Research Interests: Environmental and resource economics Dynamic game theory and strategic interactions Climate change mitigation and international agreements Social norms and cooperative behavior His work bridged theoretical rigor with accessibility, influencing generations of economists through textbooks like Optimal Control Theory and Static Optimization in Economics and Differential Games in Economics and Management Science . Grants & Impact: Served on 16 journal editorial boards Pioneered models for sustainable development and cooperative environmental policies Known for mentorship and fostering collaborative research Labs/Teams: While no specific labs are named, his global collaborations and co-authorship network reflected active engagement in international research communities.

• Consumer Deviance
• Sustainable Consumption
• Word-of-Mouth Processes
• +۹ مورد دیگر

Peter Voyer is an Associate Professor of Marketing at the Odette School of Business, University of Windsor. He holds a Ph.D. from Ivey Business School, Western University, along with an MBA from the University of New Brunswick, and undergraduate degrees in Psychology (Carleton University) and Mathematics/Physics (University of Ottawa). His research focuses on consumer deviance, sustainable consumption, word-of-mouth processes, and service marketing, with notable contributions to brand management and leadership frameworks derived from military strategy. Professional affiliations include the American Marketing Association, Association for Consumer Research, and Administrative Sciences Association of Canada. He has received military honors for service in Afghanistan and over three decades in the Canadian Armed Forces, including the General Campaign Star Medal and Canadian Forces Decoration (CD2). Key research areas include applying military leadership principles to organizational challenges, analyzing consumer behavior through social norms and tie strength, and exploring sustainable consumption patterns. His work bridges academic and applied domains, with case studies on rebranding (e.g., Alfa Romeo), leadership in uncertain times, and big data-driven consumer insights. Voyer has secured grants for research on commitment barriers and word-of-mouth analysis. His teaching and case writing span marketing strategy, consumer behavior, and leadership development, reflecting his interdisciplinary background in business and military service.

Apurva Narayanمشاهده پروفایل

استاد مدعو

• Artificial Intelligence
• Machine Learning
• Data Mining
• +۶ مورد دیگر

Dr. Apurva Narayan is an Affiliate Professor in Computer Science and Data Science, and an Associate Member in Mechanical Engineering at the University of British Columbia's Irving K. Barber Faculty of Science. His research focuses on artificial intelligence, machine learning (particularly explainable AI and quantum ML), data mining, cybersecurity of cyber-physical systems, and decision-making under uncertainty. He holds a PhD from the University of Waterloo (Systems Design Engineering) and a Bachelor's in Electrical Engineering from Dayalbagh Educational Institute. Education: PhD in Systems Design Engineering, University of Waterloo (2015) Bachelor of Engineering in Electrical Engineering, Dayalbagh Educational Institute (2008) Research Interests: Explainable AI/ML and quantum machine learning Data analytics and mining Safety/security of cyber-physical systems Graph-theoretic analysis of complex systems Decision-making under uncertainty Reverse engineering complex software systems Awards: Systems Society of India Young Scientist Award (under 40) MITACS Accelerate Award (2013) Dr. T.E. Unny Memorial Award (2011) Multiple teaching nominations at University of Waterloo Advising & Grants: Supervises graduate students in AI/ML and cybersecurity. Secured grants including MITACS Accelerate and Waterloo scholarships. Active in patent filings related to timed regular expressions. Labs/Teams: Engaged in collaborations within the UBC Department of Computer Science and cross-disciplinary projects with Mechanical Engineering on system reliability and quantum computing applications.

• Finance
• Asset Pricing
• Portfolio Management
• +۵ مورد دیگر

René Garcia is an Associate Professor in the Department of Economics at the Faculty of Arts and Sciences, University of Montreal. He maintains an office in Pavillon Lionel-Groulx, room C6031, and is also designated as an Honorary Professor, reflecting his distinguished career. Garcia is actively affiliated with CIREQ (Centre interuniversitaire de recherche en économie quantitative), a major research center in quantitative economics. His research expertise spans several key areas: Asset pricing and financial market analysis Portfolio management and risk assessment Non-linear econometric modeling Regime-switching processes in financial markets Stochastic discount factors and performance evaluation Garcia's scholarly work focuses on developing theoretical frameworks that integrate time and state dependencies in pricing models, with significant contributions to understanding information processing in economic decision-making and price stickiness phenomena. His research bridges theoretical economics with practical financial applications, particularly in emerging markets contexts as evidenced by his work on the Brazilian stock market. His current research trajectory shows continued productivity with multiple active projects extending through 2026, including work on Markov switching processes, reinforcement learning applications in portfolio choice, and advanced financial econometrics. Garcia has secured substantial research funding from major Canadian institutions: CRSH/Conseil de recherches en sciences humaines du Canada CRSNG/Conseil de recherches en sciences naturelles et génie du Canada MITACS Inc. FRQSC/Fonds de recherche du Québec - Société et culture As an educator, Garcia has supervised numerous PhD students since 1999, with his most recent advisee completing in 2023. His supervision record demonstrates his commitment to training the next generation of economists and financial researchers, with students exploring diverse topics in empirical asset pricing, climate finance, and quantitative financial methods.

Natalia Nikolovaمشاهده پروفایل

استاد

• Microwave and millimeter-wave imaging and detection
• Inverse problems
• Computational electrodynamics
• +۶ مورد دیگر

Natalia K. Nikolova is a Professor and Canada Research Chair (Tier 2) in High-frequency Electromagnetics at the McMaster University Faculty of Engineering, Department of Electrical and Computer Engineering. Author of Introduction to Microwave Imaging (Cambridge University Press, 2017) Develops cognitive radar systems for concealed weapon detection and microwave scanners for breast cancer screening Commercialization with Patriot One Technologies Ltd. Education: Dipl. Eng. (Radioelectronics), Technical University of Varna, Bulgaria (1989) Ph.D. (Electrical Engineering), University of Electro-Communications, Tokyo, Japan (1997) NSERC Postdoctoral Fellowship (1998-1999) Research Focus: Microwave and millimeter-wave imaging systems for biomedical and security applications through computational electromagnetism and inverse scattering analysis. Her Electromagnetic Vision Laboratory (founded 1999) develops high-speed sensor arrays and computer-aided design tools. Scientific Contributions: Elevated to IEEE Fellow (2011) for sensitivity analysis methods Delivered 50+ international lectures as Distinguished Microwave Lecturer (2010-2013) Holder of 7 patents in microwave imaging technology

Yuejian Chenمشاهده پروفایل

استادیار

• Dynamic Modelling
• Vibration Signal Processing
• Artificial Intelligence
• +۵ مورد دیگر

Dr. Yuejian Chen is an Assistant Professor in the Department of Mechanical Engineering at the University of Manitoba's Price Faculty of Engineering. His research focuses on dynamic modelling, vibration signal processing, artificial intelligence, and prognosis/health management for complex systems like railway vehicles, wind turbines, and steam turbines. He holds a PhD from the University of Alberta (2020) and was a postdoctoral fellow there until 2021. Prior to joining the University of Manitoba in 2024, he served as an Assistant Professor at Tongji University's Institute of Rail Transit in China from 2021 to 2024. His research integrates digital twins and advanced health management methodologies to ensure safe and cost-effective operation of mechanical systems. Key areas include non-stationary vibration analysis, fault detection via AI (e.g., LSTM networks), and physics-informed machine learning. He has authored/co-authored over 60 publications and serves on editorial boards for journals such as IEEE Sensors Journal , IEEE Transactions on Instrumentation and Measurement , and Smart and Resilient Transportation . Dr. Chen's work bridges theoretical advancements with practical applications, emphasizing railway transportation and energy systems. His recent publications (2021–2025) highlight contributions to gearbox fault detection under variable speed conditions, multi-camera metro monitoring systems, and data-driven load identification strategies. His research trends emphasize fusion of physical principles with AI for robust diagnostics and health management across mechanical systems. He is actively recruiting graduate students interested in dynamic systems, signal processing, and AI applications in mechanical engineering. His research group collaborates with industry partners to address real-world challenges in machinery safety and efficiency.

Qingjin Pengمشاهده پروفایل

استاد

• Product Design and Manufacturing
• Digital Manufacturing
• Design Methodology
• +۵ مورد دیگر

Qingjin Peng is a Professor in the Department of Mechanical Engineering at the University of Manitoba’s Price Faculty of Engineering. His work focuses on Product Design and Manufacturing, with expertise in Digital Manufacturing, Design Methodology, and Virtual Reality applications. He holds a PhD from the University of Birmingham (1998) and master’s and bachelor’s degrees from Xi’an Jiaotong University (1988, 1982). Education: PhD in Mechanical and Manufacturing Engineering, University of Birmingham (1998) M.Sc. Mechanical and Manufacturing Engineering, Xi’an Jiaotong University (1988) B.Sc. Mechanical and Manufacturing Engineering, Xi’an Jiaotong University (1982) Research Interests: His research spans Digital Manufacturing, Product Assembly/Disassembly Planning, CAD/CAM systems, and System Modeling. He pioneered methods integrating AI (e.g., Reinforcement Learning, Machine Learning) into product design and manufacturing processes. Notable contributions include optimizing Additive Manufacturing parameters using Taguchi methods and developing VR-based training systems for Coordinate Measuring Machines. Publications: Recent work emphasizes AI-driven innovation in manufacturing, with focus areas including sustainability in Additive Manufacturing, fault diagnosis of rotating machinery, and multi-agent systems for concept evaluation. His 2024 studies highlight advancements in product design through radical problem-solving frameworks, causal chain analysis, and genetic algorithm optimization. Advising & Grants: Currently no graduate student opportunities are listed, but his past collaborations include projects funded by national grants. Research teams often involve interdisciplinary partnerships, leveraging AI and data-driven approaches. Labs/Teams: His lab focuses on Digital Manufacturing and AI applications, though specific team names are not explicitly mentioned in the provided text.

• Neuronal and Glial Mechanisms
• Chronic Pain
• Masticatory Rhythms
• +۵ مورد دیگر

Arlette Kolta is a Full Professor at the Faculty of Dentistry of the Université de Montréal, with a secondary affiliation in the Department of Neuroscience . She holds a PhD in Neuroscience from the same institution. Her research focuses on neuronal and glial mechanisms underlying rhythmic masticatory movements and chronic muscle pain, particularly the role of fusimotor afferents. As an academic leader, she has served as Interim Director of the CIRCA (Interdisciplinary Research Center on the Brain and Learning) and directed the RSBO (Research Network in Oral and Bone Health). She has supervised over 40 students and postdoctoral fellows, contributing to transformative research in neurobiology. Education : PhD in Neuroscience (1991, Université de Montréal) Research Affiliations : RSBO, Groupe de recherche sur la signalisation neuronale et la circuiterie (SNC), Réseau québécois de recherche sur la douleur (RQRD) Her research integrates electrophysiological, anatomical, and behavioral approaches to explore sensorimotor integration in trigeminal circuits. Recent work emphasizes astrocyte-neuron interactions in chronic pain and mastication control. Over 20 funded grants highlight her leadership, including major projects on astrocyte roles in cortical information processing and neuron-glia interactions. Publications span astrocyte signaling, pain mechanisms, and rhythmic motor patterns. Her administrative service includes roles in academic governance, research committees, and international conference organization. She has mentored students across neuroscience, biomedical sciences, and dentistry programs.

Ken Clarkمشاهده پروفایل

دانشیار

• Physical sciences
• Astronomical and space sciences
• Dark energy
• +۳ مورد دیگر

Ken Clark is an Associate Professor and Graduate Chair in the Department of Physics, Engineering Physics and Astronomy at Queen's University, affiliated with the McDonald Institute and TRIUMF. He holds a B.Sc. from the University of Toronto, M.Sc. from Trent University, and Ph.D. from Queen's University. His research focuses on dark matter detection via the PICO experiment and neutrino studies through the IceCube collaboration at the South Pole. He leads construction efforts for the PICO 500 detector and serves as analysis coordinator for the IceCube upgrade. Clark's work bridges particle astrophysics, neutrino physics, and cosmic ray detection. Education: B.Sc., University of Toronto M.Sc., Trent University Ph.D., Queen's University Research Interests: Dark matter detection (PICO experiment), neutrino physics (IceCube collaboration), astroparticle physics, and cosmic ray interactions. Clark collaborates with institutions like the University of Alberta, Northwestern University, and Fermilab. His recent projects include advancing bubble chamber technology and optimizing IceCube's sensitivity to dark matter interactions. He also explores neutrino cross-section measurements and the proposed PINGU sub-detector for enhanced detection capabilities. Joint appointments at TRIUMF provide access to cutting-edge detector development resources. Awards and grants are not explicitly listed, but his work reflects significant contributions to international collaborations. Students and lab teams are engaged in PICO and IceCube experiments, though specific advisees are not detailed here. His research aims to address fundamental questions about the universe's structure and dark matter's role.

• IoT
• Smart Cities
• Digital Twins
• +۵ مورد دیگر

Anwar Hossain is an Associate Professor at the School of Computing, part of the Faculty of Arts and Science at Queen's University. His research focuses on IoT, smart cities, healthcare technology, and machine learning applications. He has contributed to advancements in digital twins, edge computing, and railway defect detection using AI-driven methodologies. His work integrates ethical considerations with technical innovation, particularly in healthcare systems and infrastructure maintenance. Research interests span interdisciplinary areas such as multimodal AI for behavioral therapy, generative models for defect analysis, and privacy-preserving data aggregation in smart environments. His publications highlight trends in predictive healthcare systems, IoT-enabled infrastructure monitoring, and cognitive frameworks for urban systems. Notable contributions include frameworks for intelligent edge processing in smart cities and digital twin applications for mental well-being. His articles emphasize practical solutions for challenges in public health, railway safety, and urban sustainability. While no awards are explicitly listed, his extensive publication record reflects academic and industry relevance. Dr. Hossain collaborates on projects involving healthcare CPS (Cyber-Physical Systems), IoT security, and adaptive algorithm recommendation. His work bridges theoretical research with real-world implementations, contributing to both academic discourse and technological innovation in his field.

• Robotics
• Human-Robot Interaction
• Control Systems
• +۵ مورد دیگر

Brandon J. DeHart is an Adjunct Assistant Professor at the University of Waterloo. He is affiliated with the university's academic faculty and can be contacted at brandon.dehart@uwaterloo.ca or at location E5 3108. His research focuses on robotics, particularly humanoid robots, control systems, and roboethics. He has contributed to advancements in dynamic balance, gait metrics, and human-robot interaction. His work spans topics like legged mechanism design, sensor networks in art installations, and automated content generation systems. His research interests include the development of humanoid robots capable of child-friendly interactions, robust control strategies for uncertain environments, and ethical considerations in robotic design. He has explored technical challenges like foot placement estimators for balance recovery and momentum-based gait generation in bipedal systems. Notable contributions include methodologies for tracking visitor engagement in large art installations and frameworks for interconnecting cellular automata across hardware and software. His publications reflect a blend of robotics engineering, AI applications, and interdisciplinary approaches to technology design.

Pengyu Nieمشاهده پروفایل

استادیار

• Software Engineering
• Machine Learning
• Program Analysis
• +۲ مورد دیگر

Dr. Pengyu Nie is an Assistant Professor at the University of Waterloo's Cheriton School of Computer Science. His research enhances developer productivity through machine learning techniques for software testing, code maintenance, and program analysis. Specific interests include execution-guided test completion, code-comment co-evolution, and multilingual programming systems. Current projects investigate LLM-based code editing in computational notebooks, multilingual code co-evolution, and test generation for exceptional behaviors. Research outputs include tools like pytest-inline for Python testing and Roosterize for Coq lemma suggestions. Awards include the Margarida Jacome Dissertation Award (2023) and ACM SIGSOFT Distinguished Paper Awards (2023, 2019). He leads the UW-SWaG research group and advises PhD/master's students on software engineering and ML projects.

Houra Mahmoudzadehمشاهده پروفایل

دانشیار

• Operations Research
• Healthcare Management
• Radiation Therapy Optimization
• +۳ مورد دیگر

Houra Mahmoudzadeh is an Associate Professor at the University of Waterloo, affiliated with groups such as Data Analytics, Applied Operations Research, and Healthcare. Her research focuses on optimization techniques applied to healthcare systems, particularly radiation therapy planning, robust decision-making under uncertainty, and pandemic-era staff scheduling. She specializes in developing advanced algorithms for IMRT treatment planning and addressing challenges in healthcare operations through mathematical modeling. Her work integrates robust optimization frameworks with clinical applications, emphasizing practical solutions for radiation therapy delivery, resource allocation in healthcare, and multi-objective decision-making. Key contributions include methodologies for inverse optimization in medical contexts, Pareto robust optimization strategies, and pandemic-specific staff scheduling models. Recent publications highlight innovations in dose-based constraint generation, light Pareto robust optimization, and effective budget of uncertainty formulations. Her research bridges theoretical operations research with real-world healthcare challenges, aiming to improve treatment efficacy and operational efficiency in medical settings.

Niayesh Afshordiمشاهده پروفایل

استاد

• Cosmology
• Quantum Gravity
• Black Hole Physics
• +۳ مورد دیگر

Niayesh Afshordi is a Professor and Undergraduate Advisor in the Department of Physics & Astronomy at the University of Waterloo. His research focuses on fundamental questions in cosmology and quantum gravity, particularly the nature of black holes, gravitational waves, and the origins of the universe. He explores topics like black hole echoes, holographic principles, and cyclic models of the cosmos through interdisciplinary approaches combining theoretical physics with observations. His work often bridges high-energy physics, astrophysical phenomena, and philosophical implications of scientific discoveries. His research interests span quantum gravity effects on black hole horizons, observational tests of cosmological models, and theoretical frameworks such as braneworld scenarios and loop quantum cosmology. He also engages in exploring the intersection of science and cultural narratives, including the ‘Science of Religion’ and ‘Religion of Science’ themes. His contributions to gravitational wave astronomy include pioneering studies on detecting echoes using LIGO and LISA data. Advising and Grants: As an undergraduate advisor, Afshordi guides students in physics and astronomy. No specific grants or advisees are explicitly listed in the provided texts. His research is supported by affiliations with institutions like the Perimeter Institute for Theoretical Physics, inferred from his webpage and publications. Labs/Teams: Afshordi collaborates with the Astrophysics & Gravitation group and broader research networks at the University of Waterloo and Perimeter Institute. His work involves cross-disciplinary teams focusing on numerical relativity, quantum field theory in curved spacetime, and observational cosmology.