جستجوی استاد راهنمای دانشگاهی

Dr. Joey Paquet is a Tenured Associate Professor and Department Chair in the Department of Computer Science and Software Engineering at Concordia University in Montreal, Canada. He holds a PhD and specializes in research areas including Design and Implementation of Programming Languages, Context-Driven Computing, and Demand-Driven Computing. His work focuses on advancing programming paradigms and their applications in cybersecurity, distributed systems, and autonomic computing. Dr. Paquet is actively involved in thesis supervision across Computer Science and Software Engineering programs at both master's and doctoral levels. Research interests are centered around programming language design, particularly in demand-driven and context-aware systems. His contributions include frameworks like GIPSY and OpenISS, enabling scalable data processing and forensic computing. Recent work explores autonomic intent-driven networking, real-time gesture recognition, and IoT forensics. These efforts highlight his expertise in both theoretical constructs and practical implementations. His advising role supports students in MCompSc, MASc, and PhD programs. While specific grants are not detailed, his projects often involve interdisciplinary collaboration. Dr. Paquet is affiliated with platforms like LinkedIn and ResearchGate, reflecting an active academic presence. Key technical contributions include pioneering work on forensic computing backends, intent expression languages, and multimodal interaction systems. His research addresses challenges in cybersecurity, distributed systems, and service composition, with a focus on resilience and scalability.

• Design and implementation of programming languages
• Context-driven computing
• Demand-driven computing

Qingguo Li is a Professor and Associate Head at the Department of Mechanical and Materials Engineering , Queen's University , and a member of the Ingenuity Labs Research Institute . He specializes in biomechanical system design, energy harvesting, wearable sensors, gait analysis, and load carriage systems. His research integrates robotics, biomedical engineering, and sensor technology to develop human-centric devices and mobility aids. Current Roles : Professor, Associate Head, Queen's University Research Institute : Ingenuity Labs Research Institute Lab : Bio-Mechatronics and Robotics Laboratory His work focuses on biomechanical energy harvesting , IMU-based motion analysis , and assistive device development . Key applications include stroke rehabilitation, gait monitoring, and wearable power generation systems. Articles span cable-driven robots , smart walkers , and 3D printing mechanisms , emphasizing human-robot interaction and dynamic modeling . The lab explores sensor calibration , adaptive control algorithms , and human movement optimization . Areas of impact include rehabilitation engineering , load carriage stability , wearable sensor accuracy , and assistive robotics . His team develops solutions for gait asymmetry detection , post-stroke mobility , and low-cost energy systems , leveraging machine learning and kinetic modeling .

• Biomechanical system design
• Energy harvesting
• Wearable sensors
• +۴ مورد دیگر

Amin Hammad is a Professor at the Concordia Institute for Information Systems Engineering, with an additional appointment as Affiliate Professor in Building, Civil, and Environmental Engineering at Concordia University. His research focuses on advancing construction technology through digital transformation, automation, and AI integration. He leads work in BIM applications, 4D simulation, robotic systems, and sustainable infrastructure management. His interdisciplinary approach bridges civil engineering with computer science and data analytics. Key research areas include: Automation and robotics in construction (Construction 4.0) BIM and digital twin lifecycle management AI-driven defect detection and inspection systems Occupational safety through exoskeleton performance evaluation Multi-purpose utility tunnel optimization Energy-efficient building systems Recent work emphasizes applying machine learning to construction equipment activity recognition, UAV path optimization for infrastructure inspection, and ontology development for integrated systems. His research addresses industry challenges in productivity, safety, and sustainability through data-driven solutions.

• BIM and Digital Twins
• Construction Automation & Robotics
• Sustainable Infrastructure Management
• +۴ مورد دیگر

Mustafa Gül is a Professor in the Department of Civil and Environmental Engineering at the University of Alberta’s Faculty of Engineering. He also serves as Director of Internationalization at the Faculty of Engineering’s Deans Office. His research focuses on smart, sustainable, and resilient cities, with an emphasis on infrastructure monitoring and energy-efficient systems. Education: PhD in Civil Engineering (University of Central Florida, 2009), MSc in Electrical Engineering (University of Central Florida, 2011), MSc in Civil Engineering (Boğaziçi University, 2004), BSc in Civil Engineering (Boğaziçi University, 2002). Dr. Gül’s research spans two primary domains: Crowdsensing-based Monitoring of Built and Natural Environments (CoMBiNE) using AI, signal processing, and data analytics for infrastructure health; and Energy-Efficient Smart Cities through solar PV integration, IoT applications, and net-zero energy homes. His work bridges structural engineering, machine learning, and sustainable urban development. Recent publications highlight advancements in smartphone-based damage detection, UAV-assisted disaster assessment, and AI-driven energy systems. His team’s work on crowdsensing bridges, solar PV optimization, and smartphone analytics has been widely recognized in journals like Structural Control and Health Monitoring and Energy and AI . Notably, his 2017 paper earned the Best Paper Award at ISARC. Students supervised include Azim, R. , Keskin, M. , and Do, N. T. , among others. Scientific Awards: Best Paper Award, 34th International Symposium on Automation and Robotics in Construction (ISARC 2017) Dr. Gül’s projects often involve interdisciplinary collaboration, leveraging sensor networks, computer vision, and optimization algorithms to address urban resilience and energy sustainability. His leadership extends to course CIV E 779 and ongoing research initiatives in Alberta, Canada.

• Smart Sustainable and Resilient Cities
• Energy Efficient Communities & Cities
• Crowdsensing-based Infrastructure Monitoring (CbIM)
• +۴ مورد دیگر

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.

• Artificial Intelligence
• Real-Time Strategy Games
• Game Design
• +۵ مورد دیگر

Qipei Mei is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of Alberta's Faculty of Engineering. With an MSc in Computer Science and a PhD in Structural Engineering, he bridges civil engineering with artificial intelligence to enhance infrastructure productivity and sustainability. His research spans AI-driven design automation, robotics for construction safety, and IoT-based condition assessment. PhD, Structural Engineering - University of Alberta (2020) MSc, Computer Science - Georgia Institute of Technology (2018) MSc, Structural Engineering - University of Alberta (2014) B.E., Civil Engineering - Huazhong University of Science and Technology (2011) Mei's work focuses on three key areas: leveraging data-driven methods for design automation, applying sensing/robotics to construction operations, and using digital twins for infrastructure assessment. His team explores generative AI for housing design, robotic construction in remote communities, and smart monitoring systems. Recent publications highlight advancements in: lateral capacity prediction for monopile foundations, transformer-based architectural layout analysis, large language models for building code compliance, vision-language models for safety hazard detection, and sensor networks for bridge monitoring. These works demonstrate interdisciplinary integration of AI, structural engineering, and IoT. Mei actively collaborates with diverse researchers and welcomes graduate students to his Smart Infrastructure Technologies (SITE) Research Group, part of the Infrastructure and Human Tech Lab (IHT-Lab). He teaches advanced topics in structural and civil engineering while pursuing industry-funded projects through NSERC, CFI, and Alberta Innovates.

• Civil Engineering
• Artificial Intelligence
• Robotics
• +۴ مورد دیگر

Yuxiang Chen is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Alberta. His research focuses on high-performance buildings, net-zero energy systems, and sustainable construction practices. He integrates advanced modeling techniques, renewable energy solutions, and intelligent design strategies to optimize building performance in cold climates. PhD, Building Engineering (2013), Concordia University MASc, Building Engineering (2008), Concordia University BEng, Building Engineering (2006), Concordia University Dr. Chen’s work emphasizes modular construction, thermal energy storage, and data-driven modeling for building systems. He explores the use of robotics in construction, thermal resistance of masonry walls, and energy-efficient community greenhouses tailored for cold regions. His recent publications highlight trends in building thermal dynamics, with a focus on resistor-capacitor (RC) models, hybrid heating systems, and snow accumulation impacts on solar panels. He also contributes to cold-climate energy management and smart home integration.

• High-Performance Buildings
• Net-Zero Energy Systems
• Building Thermal Modeling
• +۵ مورد دیگر

Joshua Marshall is an Associate Professor in the Department of Electrical and Computer Engineering at Queen's University, cross-appointed to Mechanical and Materials Engineering. He serves as Interim Director of Ingenuity Labs Research Institute and leads the Offroad Robotics research group (formerly Mining Systems Laboratory). Previously, he held positions at Carleton University and MDA, Inc. Education: PhD in Electrical and Computer Engineering, University of Toronto (specializing in systems control) Research Interests: Dr. Marshall specializes in field robotics for mining, space, and industrial applications. His work integrates control systems engineering , localization and mapping , and mechatronics to develop autonomous solutions for harsh environments. Key focus areas include mobile robot navigation, sensor fusion, and real-world deployment challenges in underground and extraterrestrial settings. Publication Trends: His 2022-2025 publications reveal dominant themes in autonomous industrial vehicle control (motor graders, excavators), marine robotics (uncrewed surface vessels), and terrain/material classification . Work consistently combines model predictive control with machine learning (Gaussian processes, reinforcement learning) for dynamic environment adaptation. Multi-robot systems and simulation-to-real transfer represent emerging research directions. Professional Recognition: Senior Member of IEEE Associate Editor, IEEE Control Systems Society Conference Editorial Board Senior Editor, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Research Impact: Dr. Marshall's Offroad Robotics group develops technologies featured in the Canada Science and Technology Museum's 'From Earth to Us' exhibit. His work bridges academic research with industry applications through collaborations with MDA and international institutions like Örebro University, though specific grant details are not provided in source materials. Leadership: He directs both the Offroad Robotics research group and Ingenuity Labs Research Institute, fostering interdisciplinary innovation in robotics, autonomous systems, and intelligent technologies for real-world implementation in mining, space exploration, and environmental monitoring.

• Robotics
• Field Robotics
• Mobile Robotics
• +۵ مورد دیگر

Simaan Abourizk, PhD, PEng, is the Dean of the Faculty of Engineering at the University of Alberta and holds the rank of Professor in Construction Engineering and Management. He also served as the NSERC/Alberta Construction Industry Research Chair (1997–2011) and Canada Research Chair in Operations Simulation (2001–2008). His roles include Executive Board membership at the Construction Research Institute of Canada. Education: Doctor of Philosophy in Construction Engineering and Management from Purdue University (1990), Master of Science and Bachelor of Civil Engineering (Honors) from Georgia Institute of Technology (1985 and 1984). Research focuses on advancing simulation technologies for construction and natural resource industries, including: Development of the Simphony simulation environment and COSYE framework Integration of AI, visualization, and scheduling tools (e.g., SmartEst, MTRACK) Optimization of tunneling, modular assembly, and industrial fabrication processes Key awards include the E. Whitman Wright Award (2002), E.W.R. Steacie Memorial Fellowship (2001), and Walter Shanly Award (2001). Current projects emphasize synthetic environments, safety analytics, and data-driven decision support systems in construction. He leads initiatives on risk simulation, resource allocation, and industrial automation.

• Construction Engineering
• Simulation Science
• Information Technology in Construction
• +۳ مورد دیگر

Qipei Mei, PhD, PEng, is an Assistant Professor in the Department of Civil and Environmental Engineering within the Faculty of Engineering at the University of Alberta. His work centers on leveraging digital technologies to advance sustainable infrastructure design, construction, and maintenance. His academic background includes: Ph.D. in Structural Engineering from the University of Alberta (2020) M.Sc. in Computer Science from the Georgia Institute of Technology (2018) M.Sc. in Structural Engineering from the University of Alberta (2014) Bachelor of Engineering in Civil Engineering from Huazhong University of Science and Technology (2011) Dr. Mei's research program is built on three pillars: (1) data-driven design automation, including generative design and smart infrastructure; (2) robotics and sensing applications for safer and more productive construction; and (3) digital twin-based condition assessment of infrastructure. His group, the Smart Infrastructure Technologies (SITE) Research Group, utilizes cutting-edge technologies such as computer vision and advanced sensing to tackle complex challenges in civil infrastructure. The research has implications for sustainable development and operational efficiency in the built environment. Dr. Mei is currently recruiting graduate students for multiple intakes in 2025. He is a member of the Infrastructure and Human Tech Lab (IHT-Lab) and teaches advanced courses in structural and civil engineering.

• Smart Infrastructure
• Generative Design
• Robotics for Construction
• +۴ مورد دیگر

Vadim Bulitko is a Professor in the Faculty of Science at the University of Alberta, affiliated with the Department of Computing Science. He holds a Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign. Research Interests: His work spans heuristic search, program synthesis, and deep learning applications for sound. Recent projects focus on AI-driven puzzle generation, pathfinding in dynamic game environments, and neural network classification. Publications: His 15 most recent articles explore AI advancements in puzzle design, video-game navigation, and bioacoustic classification, emphasizing heuristic optimization and explainable AI techniques.

• Heuristic search
• Program synthesis
• Deep learning for sound

William Owen is an Associate Professor at the University of Waterloo, currently serving as Associate Chair of Undergraduate Studies. He has held roles such as Associate Director of First Year Engineering (2009–2021). Owen holds a PhD in Mechanical Engineering from the University of Toronto (2005), a Master's in Mechanical Engineering from the University of British Columbia (2001), and a Bachelor's in Engineering Physics with a Mechanical Option from UBC (1990). His research focuses on robotics, mechatronics, trajectory planning, and engineering education. He explores topics such as mobile-robotic manipulators, multi-armed robotic systems, and control systems design. Recent teaching includes courses like GENE 101 (Strategies and Skills for Academic Success), ME 360 (Introduction to Control Systems), and MTE 481/482 (Mechatronics Design Projects). His publications span robotics applications, mechatronics, and manufacturing automation. He is actively involved in curriculum development and undergraduate education initiatives but is not currently accepting graduate students.

• Robotics
• Mechatronics
• Trajectory Planning
• +۳ مورد دیگر

Dr. Yuvin Adnarain Chinniah serves as a Full Professor and Department Director in the Department of Mathematical and Industrial Engineering at Polytechnique Montreal. His expertise spans occupational health and safety, industrial safety engineering, and machinery risk assessment. He actively contributes to the Research Group on Globalisation and Management of Technology (GMT) and Laboratoire Poly-Industries 4.0. Dr. Chinniah's research focuses on occupational health and safety with particular emphasis on machinery safety, risk assessment methodologies, human-robot collaboration, and safety standards implementation. His work bridges theoretical frameworks with practical applications in industrial settings, addressing critical issues like confined space safety, lockout/tagout procedures, and safety in Industry 4.0 environments. His research integrates ISO and CSA standards into practical safety solutions for industrial machinery. His recent publications demonstrate a clear trajectory from traditional machine safety toward advanced applications involving robotics, digital transformation, and human-robot collaboration. The research consistently addresses safety optimization in manufacturing processes, with increasing focus on cyber-physical systems, AI integration for hazard detection, and safety-driven production planning. His work maintains strong connections to industrial standards while pushing boundaries in collaborative robotics safety. Dr. Chinniah has successfully supervised 9 Ph.D. students and 10 Master's students, with thesis topics covering confined space safety, lockout/tagout procedures, human-robot collaboration safety, and machinery risk assessment. His teaching portfolio includes key courses in safety engineering, ergonomics, and maintenance engineering. He leads significant research projects related to occupational safety in industrial settings, with particular focus on machinery safety standards implementation and risk assessment methodologies.

• Occupational Health and Safety
• Industrial Safety
• Machine Safety
• +۵ مورد دیگر

Dr. Alicia Nahmad-Vazquez is an Associate Professor of Architecture at the University of Calgary's School of Architecture, Planning, and Landscape (SAPL), where she co-directs the Laboratory for Integrative Design. As a UCalgary Research Excellence Chair, she focuses on bridging robotics, digital fabrication, and traditional building practices to democratize advanced technologies for community empowerment. Her work emphasizes social innovation through participatory design frameworks that integrate technology, architectural geometry, and sustainable construction methods. Affiliations: University of Calgary (SAPL), Laboratory for Integrative Design Roles: Academic, Artist, Entrepreneur (founder of The Circular Factory, MI Toolbox, and Architecture Extrapolated) Her research explores topics such as decentralized manufacturing systems, robotic-assisted fabrication, and community-driven design strategies. She advocates for architecture that prioritizes humanity and sustainable growth, inspired by the vision of cities functioning as nurturing environments. Her entrepreneurial ventures aim to translate academic innovation into real-world applications, such as custom PPE solutions and timber-based micro-factories. Recent publications highlight her focus on human-robot collaboration, multi-objective optimization in facade design, and the integration of advanced materials into construction processes. While specific awards are not listed, her work has garnered international acclaim for its interdisciplinary impact. Dr. Nahmad-Vazquez’s advising and grants reflect her commitment to empowering communities through technology. Her labs and teams, like the Laboratory for Integrative Design, emphasize hands-on experimentation and cross-disciplinary collaboration. She envisions a future where architecture balances technological advancement with social and environmental responsibility.

• Digital Fabrication
• Robotic Fabrication
• Architectural Geometry
• +۳ مورد دیگر

Dr. Rafiq Ahmad (PhD, P.Eng) is an Associate Professor at the University of Alberta’s Faculty of Engineering, Department of Mechanical Engineering. He directs the Smart & Sustainable Manufacturing Systems Laboratory (SMART LAB) and the Aquaponics 4.0 Learning Factory (AllFactory) . His work bridges fundamental research in design and manufacturing with advanced industrial applications. Education : PhD & MSc from French institutions (Ecole Centrale de Nantes and Ecole Arts et Metiers Paris), Postdoc at University of Luxembourg Research : Focuses on Smart Manufacturing (zero-defect production), Green Technologies (3R systems), Industrial Robotics (autonomous systems), and Sustainable Production (Aquaponics 4.0). The 15 most recent publications (2025) explore digital twins, robotics for extreme environments, hybrid manufacturing optimization, and sustainable food production. Articles span additive manufacturing, topology optimization, and AI-driven automation. Scientific Awards : 2023 ASTech Award for Digital Innovation; 2022 Edify Top 40 Under 40; multiple NSERC, Mitacs, and Alberta Innovates grants. Teaching : Offers courses in Manufacturing Systems, Lean Manufacturing, and Mechanical Measurements. Labs : SMART Lab (founded 2016) specializes in hybrid manufacturing and robotics; AllFactory focuses on sustainable aquaponics systems.

• Design and Manufacturing
• Additive Manufacturing
• Sustainable Production
• +۷ مورد دیگر