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نمایش ۱۶-۳۰ از ۸۳۵ استاد راهنما

اطلاعات پروفایل‌ها از صفحات عمومی دانشگاه‌ها گرفته شده و ممکن است به‌روز نباشد.

Danilo Dantasمشاهده پروفایل

استاد

HEC MontréalCanada

**Danilo Dantas** is a **Professor** in the **Department of Marketing** at **HEC Montréal**, a leading business school in Canada. He holds additional roles as the **Pedagogical Coordinator of the Specialized Graduate Diploma (D.E.S.S.) in Arts Management** (in French) and a **Regular Member** of the **Observatoire Interdisciplinaire de Création et de Recherche en Musique (OICRM)**. His expertise spans **Music Marketing**, **Database Marketing**, and **Electronic Commerce**, with a focus on cultural branding, consumer engagement, and digital strategies in creative industries. **Education**: He earned his **Doctorat ès sciences de gestion (marketing)** from Université de Grenoble II, along with advanced degrees including a **D.E.A. in Sciences de Gestion (marketing)**, **D.E.S.S. in Commerce International**, and a **B.A.A. in Administration** from UFRGS, Brazil. **Research & Teaching**: Professor Dantas teaches courses such as *Marketing des arts et de la culture* and *Analyse des bases de données en marketing*. His research investigates topics like cultural branding (e.g., leveraging live music for city brands), music industry strategies, and consumer behavior in digital ecosystems. Recent work explores the interplay between brand fit and new product performance, social media impact on online communities, and e-Government service quality metrics. **Advising**: He has supervised **2 PhD dissertations**, **7 Master’s theses**, and **21+ supervised projects**, covering areas such as VR consumer experiences, vinyl store dynamics, and festival attendee motivations. His projects often address practical challenges in arts management, digital transformation, and cultural policy. **Labs/Teams**: His affiliation with OICRM integrates music creation and research, while his work with the Chaire de gestion des arts Carmelle et Rémi-Marcoux emphasizes arts management education and data-driven decision-making.

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Yuri Levinمشاهده پروفایل

استاد

Queen's University at KingstonCanada

Yuri Levin is a Professor at the Smith School of Business, Queen’s University, where he holds the Stephen J.R. Smith Chair of Analytics and serves as Founding Executive Director of the Smith School of Business Analytics and AI. He also leads the Scotiabank Centre for Customer Analytics. His research focuses on Analytics & AI, with expertise in revenue management, dynamic pricing, and strategic consumer behavior. Levin holds a Ph.D. in Operations Research from Rutgers University and degrees in Economics and Applied Mathematics from Belarus State University. Levin’s academic contributions include co-winning the 2013 INFORMS Revenue Management and Pricing Practice Prize and the 2009 INFORMS COIN-OR Cup. He has advised companies like Scotiabank, Loblaws, and McDonald’s on pricing strategies and consumer analytics. As an Associate Editor of Operations Research , he shapes academic discourse in operations research and pricing strategies. Education: Ph.D. in Operations Research, RUTCOR, Rutgers University (2001) B.S. in Economics, Belarus State University (1998) M.S. (Honours) in Applied Mathematics, Belarus State University (1998) His research explores dynamic pricing models under social influence, strategic consumer behavior, and revenue management in hospitality and retail industries. He has pioneered methodologies for optimizing pricing strategies in networked markets and developed algorithms for cargo capacity management. Awards: 2010 Queen’s School of Business Award for Research Achievement 2003 New Researcher Achievement Award Levin’s teaching spans MBA, Master of Management Analytics (MMA), and executive education programs, covering analytical decision-making and pricing optimization. His advisory work includes roles as a Visiting Professor at the Skolkovo Moscow School of Management and the University of Cambridge’s Judge School of Business.

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Shiva Nejatiمشاهده پروفایل

استاد

University of OttawaCanada

Shiva Nejati is a Professor at the University of Ottawa 's School of Electrical Engineering and Computer Science . He holds a PhD in Computer Science from the University of Toronto and previously worked as a Senior Scientist (2012-2019) and Scientist (2009-2012) at the SnT Centre (University of Luxembourg) and Simula Research Laboratory. Research focus: Software engineering for cyber-physical systems (autonomous vehicles, IoT), blending formal verification, machine learning, and search-based testing Key tools developed: ARIsTEO, SOCRaTEs, SimCoTest, EPIcuRus Editorial roles: Associate Editor for EMSE Journal (2025–), ASE Journal (2025–), IEEE Transactions on Software Engineering (2020–2024) His work combines formal methods , empirical software engineering , and AI/ML to address verification challenges in complex systems, particularly through evolutionary algorithms and surrogate modeling . Notable collaborations include industry partners in telecommunications, automotive, and aerospace sectors. Recent publications emphasize large language models for requirements analysis, adversarial testing of vision systems, and multi-objective optimization for test generation. His Sedna Research Lab actively trains graduate students in these cutting-edge methodologies.

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Kiran Pedadaمشاهده پروفایل

دانشیار

University of ManitobaCanada

Kiran Pedada is an Associate Professor of Marketing at the Asper School of Business, University of Manitoba, and holds the F. Ross Johnson Fellow and The Associates Fellow in Marketing and Inclusive Business. Previously, he was an Assistant Professor at the Indian School of Business (ISB) and a Visiting Scholar at the University of North Carolina. He has been recognized as ISB’s Teacher of the Year (2020 and 2021) and named a top MBA professor by BusinessBecause. His research focuses on marketing strategy, digital transformation, emerging markets, and inclusive business practices. Dr. Pedada earned his Ph.D. in Marketing from Texas Tech University, where he won the Helen Devitt Jones Excellence in Graduate Teaching Award. His doctoral work on international marketing alliances in emerging markets won the prestigious AMS Mary Kay Inc. Doctoral Dissertation Award. Before academia, he worked in management consulting and corporate strategy. Research Interests : Marketing strategy in digital environments Social and financial impact of marketing Global marketing expansion via digital ecosystems Emerging markets dynamics Brand competitiveness through digital orientation Key Contributions : His research has been published in top journals like Journal of Marketing Research and Journal of the Academy of Marketing Science. He co-authored cases on digital transformation for Harvard Business Publishing and serves on editorial boards of key marketing journals. His work has been featured in Forbes, Fortune, and CNN. Awards : AMS Mary Kay Inc. Doctoral Dissertation Award (2019) F. Ross Johnson Fellowship Teacher of the Year (ISB, 2020 & 2021) He actively advises on digital readiness of SMEs and ESG integration in alliances. His current projects explore metaverse applications and rural microentrepreneurship in India.

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Ralph Evinsمشاهده پروفایل

دانشیار

University of VictoriaCanada

Dr. Ralph Evins is an Associate Professor and Director of the Graduate Program in the Department of Civil Engineering at the University of Victoria. He holds affiliations with the Urban Energy Systems laboratory at Empa and ETH Zurich in Switzerland. His expertise spans building energy simulation, energy system optimization, and machine intelligence applications in sustainable design. Evins holds an MEng from Imperial College London and an EngD from the University of Bristol. His research focuses on computational problem-solving in energy systems, including surrogate modeling, optimization algorithms, and machine learning. He develops tools like the Holistic Urban Energy Simulation (HUES) platform and BESOS software framework to bridge building, district, and city-scale energy analysis. His work emphasizes holistic systems thinking, integrating energy hubs, thermal modeling, and digital twin technologies. Recent articles explore surrogate model refinement, inverse modeling for building characterization, and decarbonization strategies. He collaborates with industry to translate academic innovations into practical solutions. Evins advises students in energy systems and leads projects on net-zero building design, retrofit prioritization, and smart grid integration. His research addresses challenges in climate adaptation, energy efficiency, and sustainable urban development through interdisciplinary approaches.

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Joshua Brinkerhoffمشاهده پروفایل

دانشیار

University of British ColumbiaCanada

Dr. Joshua Brinkerhoff is an Associate Professor in Mechanical Engineering at the University of British Columbia Okanagan Campus. He serves as the Associate Director for Research & Industrial Partnerships in the School of Engineering and leads the UBC-Okanagan Computational Fluid Dynamics Laboratory. His research spans computational fluid dynamics, turbomachinery, multiphase flows, hydrogen safety, wind energy, and biofluid mechanics. He teaches courses in mechanics of materials, alternative energy systems, turbulence, computational fluid dynamics, and aircraft design. PhD, Aerospace Engineering (Carleton University, Ottawa, ON) BEng, Aerospace Engineering (Carleton University) Dr. Brinkerhoff’s research interests include: Computational Fluid Dynamics (CFD) for laminar-to-turbulent transition and instability analysis Wind energy systems and turbine aerodynamics Hydrogen storage and safety protocols for transportation Biofluid mechanics for respiratory diseases and aneurysm modeling Multiphase flows in industrial and environmental contexts His publications focus on CFD simulations for: Aerosol dispersion and mitigation in indoor environments Wind farm interactions and atmospheric gravity waves Cavitation and phase transitions in cryogenic and LNG systems Heat transfer optimization in industrial and thermal systems Instability dynamics in buoyancy-driven and swept flows Turbulent structures in fluidized beds and reactors Dr. Brinkerhoff has no listed scientific awards in the provided data but has extensive contributions to renewable energy, hydrogen safety, and medical fluid dynamics. His laboratory develops open-source tools like TOSCA for large-eddy simulations and investigates practical applications in urban air quality, dental aerosol control, and turbine wake modeling.

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Niko Trojeمشاهده پروفایل

استاد

Queen's University at KingstonCanada

Niko Troje is a Professor at York University, affiliated with the Departments of Psychology, Biology, and Electrical Engineering & Computer Science. He holds cross-appointments and leadership roles, including Director of the BioMotion Lab. His research focuses on perceptual representations, biological motion, and vision science. Education: Ph.D. in Biology (1994) - Albert-Ludwigs Universität B.Sc. in Biology (1990), Physics & Mathematics (1987) - Albert-Ludwigs Universität Research Interests: Troje investigates how the brain processes biological motion, perception of human and animal movement, and applications in virtual reality. His work bridges neuroscience, psychology, and computer science. Key Contributions: Pioneered point-light displays for motion perception, explored gait analysis in mental health, and developed tools for motion capture and analysis (e.g., bmlTUX). Awards: Humboldt Research Prize (2014) NSERC Steacie Fellowship (2008-2009) Canada Research Chair (2003-2013) Grants & Labs: Led funded projects on movement perception, collaborated with institutions like the Max Planck Institute, and directs the BioMotion Lab at York University.

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Joseph Kangmennaangمشاهده پروفایل

استادیار

Queen's University at KingstonCanada

Joseph Kangmennaang is an Assistant Professor and Queen's National Scholar in Black Health & Social Change at Queen's University. He holds a PhD from the University of Waterloo, an MA from Western University, and a B.A. from the University of Ghana. His research focuses on the interplay between environment and wellbeing, particularly in sub-Saharan Africa and among Black immigrant communities in North America. He employs social theories, participatory methods, and mixed approaches to address health disparities, with a focus on non-communicable diseases, food/water security, and the impact of racism and social change. His courses include HLTH 397 (Globalization and Black Health) and HLTH 495 (Racism and Health). Research areas include immigrant health equity, syndemics, and the role of place in healthcare access. Collaborations with marginalized communities emphasize participatory action and civic engagement. He has published extensively on topics such as climate change impacts on health, HIV/AIDS knowledge among women in Malawi, and the social determinants of wellbeing in Ghana. His work bridges global health challenges with localized solutions, addressing systemic inequities through interdisciplinary partnerships. Notably, he explores how structural factors like migration, remittances, and agroecology affect household welfare and food security in Malawi and Ghana. His recent studies highlight the mental health implications of discrimination among minoritized Canadians during the pandemic and the spatial distribution of diseases like cholera in Tanzania. He advocates for community-driven interventions to promote wellbeing in resource-limited settings.

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Yuan Tianمشاهده پروفایل

استادیار

Queen's University at KingstonCanada

Yuan Tian is an Assistant Professor in the School of Computing at Queen's University, Faculty of Arts and Science. She holds a PhD in Information Systems from Singapore Management University (2017) and a B.Sc. in Computer Science from Zhejiang University (2012). Her research focuses on integrating heterogeneous data sources to enhance software engineering practices, including data mining, recommender systems, and social network analysis. Prior to Queen's, she was a data scientist at Living Analytics Research Centre (LARC), SMU. She has held visiting positions at Carnegie Mellon University, INRIA Paris, and SAIL Canada. Research Interests: Data Mining Software Engineering Social Network Analysis Information Retrieval Recommender Systems Computer Security Recent Research Trends: Her work emphasizes AI-driven solutions for software bug management, code translation, vulnerability detection, and developer behavior analysis. Notable contributions include leveraging LLMs for technical debt repayment and enhancing code vulnerability detection via Graph Neural Networks. Awards: SMU Presidential Doctoral Fellowship (2015-2016) Best Paper Award at SANER 2017 Grants & Advising: No formal advisees listed, but active in collaborative projects with industry and academic partners. Labs/Teams: Previously associated with SOAR Group at SMU and currently leads research in Queen's School of Computing.

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Matt Rattoمشاهده پروفایل

استاد

University of TorontoCanada

Matt Ratto is a full Professor in the Faculty of Information at the University of Toronto , where he also serves as Associate Dean, Research . He is a faculty affiliate of the Climate Positive Energy Institute , the Schwartz Reisman Institute for Technology and Society , and an SDG Fellow with the Sustainable Development Goals Institute . His work bridges critical theory and digital innovation , focusing on the social production of knowledge through emerging technologies. His research explores critical making and socio-technical systems , with applications in 3D-printed prosthetics (deployed in Cambodia, Tanzania, and Uganda), AI-driven healthcare solutions , and climate justice in computing . He has received over $6 million in funding, including two Canada Grand Challenge grants , and founded organizations advancing equitable technology access. Ontario Minister of College and Universities’ Award of Excellence (2020) Bell Canada Usability Labs Chair in Human-Computer Interaction (2018–2023) He supervises students such as Olivia Doggett and Sarah Gram , with past advisees including Brian Sutherland and Dan Southwick . His Critical Making Lab fosters interdisciplinary collaboration, and he teaches courses like INF2241: Critical Making and INF351: Information Design Studio .

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Jian Zhaoمشاهده پروفایل

دانشیار

University of WaterlooCanada

Jian Zhao is an Associate Professor at the University of Waterloo's School of Computer Science, specializing in Information Visualization (InfoVis), Human-Computer Interaction (HCI), and Data Science. With a Ph.D. from the University of Toronto (2016), his research emphasizes interactive visualization techniques, AI integration in design processes, and socio-technical systems. He explores how human-AI collaboration can enhance data analysis, presentation, and user experience in complex systems. Key research areas include: 1) AI-Driven Design (e.g., code generation via sketching, infographic creation), 2) Health Informatics (therapeutic AI tools for autism support), 3) Immersive Technologies (VR/AR interfaces for presentations and education), and 4) Social Computing (remote family communication, multi-modal emoticons). His work bridges technical innovation with human-centered design principles. His publications (2021–2025) reflect a focus on interactive visualization frameworks (e.g., iTrace for cross-view data analysis), AI-human collaboration (CoLadder for hierarchical code editing), and specialized applications like TherAIssist for art therapy and EMooly for autism support. Zhao frequently explores novel interaction modalities , including gesture-based VR interfaces and sketch-based programming tools. He leads projects in computational notebooks (EDAssistant, Slide4N), visual analytics (MissBin for bipartite networks), and neurofeedback training games (Eggly). His work often emphasizes systematic design considerations for missing data, cross-view analysis, and contextual visualization in spatial AR environments.

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Deepa Kundurمشاهده پروفایل

استاد

University of TorontoCanada

Deepa Kundur is the Professor & Chair of The Edward S. Rogers Sr. Department of Electrical & Computer Engineering at the University of Toronto. She earned her BASc, MASc, and PhD in Electrical and Computer Engineering from the same institution in 1993, 1995, and 1999, respectively. Current roles: IEEE Spectrum Advisory Board Conference leadership: General Chair of 2018 GlobalSIP Symposium, TPC Co-Chair for IEEE SmartGridComm 2018, among others Her research focuses on cybersecurity , signal processing , and complex dynamical networks , particularly in smart grid applications. She has authored over 200 publications and pioneered techniques for detecting false data injection attacks, enhancing grid resilience, and integrating machine learning into power systems. Her recent work spans quantum learning for grid security , LLM-based mental health prediction , and resilient control systems . She has received 14 best paper recognitions, including IEEE SmartGridComm (2015) and IEEE INFOCOM Workshop (2008). Fellowships: IEEE Fellow (2015), Canadian Academy of Engineering Fellow (2016), Massey College Senior Fellow (2019) Teaching awards: Tenneco Meritorious Teaching Award (2005), Gordon Slemon Teaching of Design Award (2002) Early career honors: NSERC Scholarships (PGS A/B), Canada Scholarship She leads the Kundur Research Group , developing models for cyber-physical systems in smart grids and autonomous vehicle networks. Her team explores reinforcement learning for grid defense , transmissibility-based fault detection , and privacy-preserving smart grid analytics .

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Sheng Yangمشاهده پروفایل

استادیار

University of GuelphCanada

Dr. Sheng Yang is an Assistant Professor in the School of Engineering at the University of Guelph. He leads the Design Innovation and Intelligent Manufacturing (DIIM) lab, focusing on advancing additive manufacturing, generative design, and smart manufacturing technologies. His research integrates IoT, big data analytics, and bio-inspired design to address challenges in aerospace, green energy, and healthcare. Key areas include computational design for additive manufacturing, data-driven mass customization, and digital twin-based optimization. Education: Ph.D. in Mechanical Engineering from McGill University (2019), followed by a Postdoctoral Fellowship at McGill (2019–2020). Joined University of Guelph in 2020. Research interests span energy efficiency, complex system optimization, and personalized healthcare products. Recent work emphasizes digital twin synchronization in robotics, machine learning for quality prediction, and sustainable additive manufacturing processes. Notable awards include the 2019 Association of Commonwealth Universities Blue Charter Fellowship and 2018 ASME Best Paper Award. His lab actively seeks partnerships in personalized healthcare, product design, and smart manufacturing. Grants and collaborations focus on advancing manufacturing technologies and sustainability. No formal advisees listed, but active in graduate training through lab projects. The DIIM lab explores cutting-edge solutions for industrial and societal challenges through interdisciplinary approaches.

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Jonathan Caleمشاهده پروفایل

استادیار

University of Northern British ColumbiaCanada

Dr. Jonathan Cale is an Assistant Professor in the Department of Forest Ecology and Management at the University of Northern British Columbia, affiliated with the NRES Graduate Program. His research program merges basic and applied approaches to investigate fungal ecology and forest pathology, focusing on how fungus-tree interactions influence forest health challenges. Specializes in forest fungi roles across disturbance stages: development, impact, and recovery Key interests: emerging forest diseases, climate change impacts on fungi, bark beetle-fungus interactions, chemical defense mechanisms Supervises graduate students in Biology and Forestry (MSc NRES) and serves as a media-contactable expert in Forest Pathology His recent publications address topics such as fungal community dynamics in disturbed forests, chemical defense responses in pines, and bark beetle-fungus coevolutionary mechanisms. No scientific awards are mentioned in the provided text.

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David Churchillمشاهده پروفایل

دانشیار

Memorial University of NewfoundlandCanada

David Churchill is an Associate Professor in the Department of Computer Science at Memorial University of Newfoundland (MUN), specializing in Artificial Intelligence and Real-Time Strategy (RTS) Game AI. He holds a PhD from the University of Alberta and has been actively involved in AI research since 2009. His work focuses on AI for RTS games like StarCraft, emphasizing heuristic search, combat simulation, and build order optimization. He organizes the annual AIIDE StarCraft AI Competition and maintains open-source projects like UAlbertaBot and SparCraft. Education: BSc in Pure Mathematics and Computer Science (MUN) MSc in Computer Science (MUN, 2009) PhD in Computing Science (University of Alberta, 2016) Research Interests: AI in video games, heuristic search algorithms, RTS game strategies, multi-agent systems, and robotics. His work bridges theoretical AI with practical applications in competitive gaming and robotics. Publications & Awards: Notable contributions include Search Ordering for StarCraft Build Order Optimization (2024) and Hierarchical Portfolio Search in Prismata (2017, Best Student Paper Award). His research has advanced combat simulation (SparCraft) and build-order planning (BOSS) in RTS games. Awards: Best Student Paper Award (2017) Best Paper Award (2013, 2022) Advising & Labs: Supervised over 20 graduate and undergraduate theses at MUN. Leads the StarCraft AI Competition and contributes to open-source projects like UAlbertaBot and STARTcraft. Currently not accepting new graduate students due to funding constraints.

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