جستجوی استاد راهنمای دانشگاهی

Dr. Goetz Bramesfeld serves as a Professor in the Department of Aerospace Engineering at Toronto Metropolitan University, where he leads research in applied aerodynamics and unconventional flight systems. His expertise spans flight vehicle design, small UAV development, and motorless flight dynamics, with particular emphasis on energy harvesting from atmospheric phenomena. Bramesfeld's educational background includes a PhD (2006) and MS (1999) from The Pennsylvania State University, and a BEng (1998) from Technische Universität Braunschweig. His research interests focus on applied aerodynamics , flight dynamics , and energy-efficient aircraft design , with notable contributions to sailplane optimization, gust energy extraction, and microwave-powered UAV concepts. His work bridges theoretical aerodynamics with practical applications in both terrestrial and planetary exploration contexts. Analysis of his publication record reveals consistent innovation in energy harvesting flight systems, particularly through gust energy extraction and unconventional propulsion methods. His research evolves from traditional sailplane optimization toward cutting-edge concepts like microwave-powered aircraft and planetary exploration gliders, maintaining strong connections between fundamental aerodynamics and real-world flight applications. Bramesfeld actively supervises graduate students through the Applied Aerodynamics Laboratory of Flight (AALF) and maintains significant professional engagement as a Senior Member of the American Institute of Aeronautics and Astronautics (AIAA), member of the Canadian Aeronautics and Space Institute (CASI), Associated Editor for the Technical Soaring Journal, and board member of the Organisation Scientifique et Technique du Vol à Voile (OSTIV).

• Applied Aerodynamics
• Flight Vehicle Design
• Small UAV Design
• +۵ مورد دیگر

Vahé Nerguizian is a full Professor in the Department of Electrical Engineering at École de technologie supérieure (ÉTS) in Montreal, Canada, where he has established himself as a leading researcher in microelectronics, MEMS, and biomedical applications. Affiliated with the LACIME (Communications and Microelectronic Integration Laboratory), his work bridges engineering disciplines with healthcare innovations, particularly in cancer research and point-of-care diagnostics. His educational background includes a B.Ing. from Polytechnique Montréal, an M.Eng. from McGill University, and a Ph.D. from Concordia University. This strong foundation in electrical engineering has enabled his interdisciplinary research across multiple domains. Nerguizian's research focuses on the intersection of microfluidics, MEMS, and biomedical applications, with particular emphasis on cancer cell detection, liposome production for drug delivery, and microelectronic integration for healthcare solutions. His laboratory develops microfluidic devices for synthesizing nanoparticles and liposomes, with applications in cancer therapeutics and diagnostics. The work combines microwave engineering, bio-MEMS, and microelectronics to create innovative diagnostic tools and therapeutic delivery systems. His recent publications (2021-2025) demonstrate a clear trajectory toward increasingly sophisticated biomedical applications of microfluidic and MEMS technologies, with growing emphasis on cancer research, extracellular vesicle analysis, and therapeutic delivery systems. The research has evolved from fundamental MEMS and microwave engineering toward highly translational biomedical applications. 2015: Excellence in Teaching Award from the Board of Directors Nerguizian has supervised over 25 graduate students across doctoral and master's programs, with current projects focusing on microfluidic systems for nanoparticle synthesis and sensor systems for biomolecule detection. His research has received significant funding through collaborations with medical researchers, particularly with Julia Burnier's team at McGill University. The LACIME laboratory, where he conducts his research, provides state-of-the-art facilities for micro- and nanofabrication, integrated circuit design, and photonic microsystems. As part of the LACIME research group, Nerguizian contributes to a dynamic environment focused on both fundamental and applied research with strong industry connections. The laboratory's work spans from materials science to communication protocols, with particular strength in developing innovative solutions for healthcare applications.

• Telecommunications
• Bioengineering
• Cancer Cell Detection
• +۸ مورد دیگر

Professor Jinjun Shan is a Full Professor of Space Engineering and former Department Chair (2018-2023) in the Department of Earth and Space Science and Engineering at York University's Lassonde School of Engineering. An internationally recognized expert in dynamics, control and navigation, he joined York University as an Assistant Professor in 2006, was promoted to Associate Professor in 2011, and became a Full Professor in 2016. Dr. Shan received his B.Eng., M.Eng., and Ph.D. degrees from Harbin Institute of Technology, China, in 1997, 1999, and 2002, respectively. Before joining York, he was a Post-Doctoral Fellow at the University of Toronto Institute for Aerospace Studies (2003-2006) and a Research Assistant at City University of Hong Kong (2002-2003). His research focuses on dynamics, control and navigation, autonomous systems, multi-agent systems, smart materials and structures, space instrumentation, active vibration control, and orbit dynamics. Dr. Shan has made significant contributions to national and international space missions including NEOSSat and has attracted over $5 million in research funding from governmental agencies and industry partners. His laboratory, the Spacecraft Dynamics Control and Navigation Laboratory (SDCNLab), which he founded in 2006, conducts cutting-edge research in space engineering. Dr. Shan's extensive publication record includes over 200 peer-reviewed journal and conference papers, with his most recent work focusing on multi-agent formation control, autonomous vehicle decision-making, quadrotor control systems, and smart material applications. His research shows a clear progression from fundamental dynamics and control theory toward increasingly complex multi-agent systems and real-world applications in autonomous vehicles and space engineering. Fellow of Canadian Academy of Engineering (CAE) Fellow of Engineering Institute of Canada (EIC) Fellow of American Astronautical Society (AAS) Associate Fellow of AIAA Alexander von Humboldt Research Fellowship JSPS Fellowship Lassonde Educator of the Year Award (2022) Named in Stanford's list of world's top 2% researchers Dr. Shan has successfully mentored numerous graduate students and post-doctoral fellows, with current advisees working on cutting-edge projects in multi-agent systems, UAV control, and smart materials. His research is supported by substantial funding from NSERC, CSA, and industry partners. As the founding director of SDCNLab, he has built a comprehensive research facility for spacecraft dynamics, control, and navigation, recently expanding to include autonomous unmanned vehicle research through a CFI JELF award. His laboratory continues to make significant contributions to both theoretical advancements and practical applications in space engineering and autonomous systems.

• Dynamics
• Control Systems
• Navigation
• +۱۱ مورد دیگر

Ioannis Lambadaris is a Full Professor and Chancellor’s Professor at Carleton University's Department of Systems and Computer Engineering, Faculty of Engineering and Design. Holding a Ph.D. from the University of Maryland, he has contributed extensively to network performance analysis over 25+ years. Specializes in stochastic processes, cloud computing, and wireless edge systems Led Ericsson 5G Chair initiatives Supervised over 70 graduate students His research spans QoS control , VNF placement optimization , and IoT indoor localization , with over 170 publications. Recent work focuses on reinforcement learning and deep learning in network resource allocation. Scientific Recognition: Chancellor’s Professor Ericsson 5G Chair Contact: ioannis@sce.carleton.ca | Office: Mackenzie 4448, Ottawa, ON

• Network Traffic Modeling
• Quality of Service (QoS) Control
• Cloud Data Center Resource Allocation
• +۸ مورد دیگر

Mohamad T. Shahab is an Assistant Professor in the Department of Electrical, Computer, and Biomedical Engineering at Toronto Metropolitan University (TMU), where he joined in 2025. His research focuses on control theory and autonomous systems, with particular expertise in adaptive control, robotics, and optimization. Dr. Shahab completed his PhD in Electrical and Computer Engineering at the University of Waterloo in 2020. He received his BSc in Control and Instrumentation Engineering (2007) and MSc in Systems Engineering (Automation and Control) (2015), both from King Fahd University of Petroleum and Minerals (KFUPM). Prior to joining TMU, he held postdoctoral appointments at KAUST working with Professor Eric Feron and worked as an R&D engineer with Baker Hughes. His research spans Control Theory, Robotics, Adaptive Control, Control & Optimization, and Autonomous Systems . Dr. Shahab's work particularly focuses on adaptive control strategies that yield linear-like behavior, robustness analysis of adaptive control systems, and applications to robotics and autonomous aerial vehicles. His recent work has centered on modular tetrahedral-shaped aerial robots and their control under uncertainty. Dr. Shahab has published numerous papers in top-tier journals including IEEE Transactions on Automatic Control, Automatica, and International Journal of Adaptive Control and Signal Processing, as well as in major conferences like IEEE ICRA and AIAA SciTech. His research shows a clear trajectory toward developing more robust and reliable adaptive control strategies for complex systems, particularly in robotics and autonomous vehicles. Dr. Shahab is actively recruiting graduate students (MASc, MEng, PhD) and undergraduate researchers interested in control theory, robotics, and autonomous systems. He encourages students with strong backgrounds in control, optimization, robotics, and machine learning to contact him.

• Control Theory
• Robotics
• Adaptive Control
• +۴ مورد دیگر

Youmin Zhang is a Professor in the Department of Mechanical, Industrial and Aerospace Engineering at Concordia University, affiliated with the Concordia Institute of Aerospace Design & Innovation. His research focuses on advanced control strategies for safety-critical systems, including fault diagnosis, fault-tolerant control, and autonomous vehicle systems. His work spans aerospace, industrial, and mechatronic domains, with applications in UAV navigation, spacecraft formation flying, and real-time environmental monitoring. Research interests include: Fault-tolerant control for safety-critical systems Avionics and flight control systems UAV trajectory planning and swarm coordination Modeling and simulation of physical systems Signal processing for diagnostics Recent publications emphasize resilient control architectures, cybersecurity in autonomous systems, and AI-driven solutions for fault detection in industrial processes. His work bridges theoretical control frameworks with practical applications in aerospace, energy, and environmental systems. He holds an academic position at Concordia’s Sir George Williams and Loyola campuses, and his research contributes to advancing autonomous systems and smart manufacturing technologies.

• Fault Diagnosis and Tolerant Control
• Avionics and Flight Control
• UAV Systems and Autonomous Vehicles
• +۵ مورد دیگر

Dr. Joana Rocha is a Full Professor in the Department of Mechanical and Aerospace Engineering at Carleton University, Ottawa. She leads the Aeroacoustics Research Laboratory, specializing in aircraft noise prediction, noise reduction, and aeroacoustic testing. Her work focuses on turbulent-flow induced noise, structural-acoustic interactions, and wind tunnel experimentation. Education: Ph.D. and M.A.Sc. in Mechanical Engineering from the University of Victoria. Research Interests: Aircraft noise mitigation strategies Optimization of trailing-edge geometries for noise reduction High-speed wind tunnel testing methodologies Development of predictive models for flow-induced noise Publications: Over 40 peer-reviewed articles since 2003, emphasizing aeroacoustic modeling, experimental validation, and noise reduction techniques. Recent work addresses serrated trailing-edge airfoils and electric ducted fan acoustics. Awards: NSERC Discovery Grant (2022) Early Career Researcher Award (2020) CARIC and CRIAQ Grants Grants & Advising: Secured multi-million dollar funding for aerospace noise research. Advised numerous graduate students in experimental aeroacoustics and structural optimization. Professional Roles: Board Member of the Canadian Acoustical Association and Associate Editor of Canadian Acoustics journal.

• Aeroacoustics
• Aircraft Noise Prediction
• Noise Reduction in Aerospace Systems
• +۴ مورد دیگر

Melissa Greeff is an Assistant Professor in the Department of Electrical and Computer Engineering at Queen's University. She is a faculty affiliate with the Vector Institute for Artificial Intelligence and works with the Robora Lab , focusing on robotics and control systems. Research Interests : Aerial robots, vision-based navigation, safe learning-based control systems. Education : BASc in Engineering Science, PhD from the University of Toronto. Research Focus : Her work integrates robotics, control theory, and machine learning to enable safe, efficient UAV operations in complex environments, including maritime applications and GPS-denied navigation. Key methodologies involve differential flatness and model predictive control (MPC) enhanced by learning-based approaches. Publications : Recent articles emphasize vision-based navigation, multirotor control under disturbances, and benchmarking safe learning systems. Topics span UAVs in infrastructure assessment, cooperative control, and embedded predictive control solutions. Labs & Teams : Collaborates with the Robora Lab and Ingenuity Labs Research Institute on robotics and AI research.

• Robotics
• Control Systems
• Vision-Based Navigation
• +۳ مورد دیگر

Eric Lanteigne is an Associate Professor in the Department of Mechanical Engineering at the University of Ottawa, serving as Associate Chair for Undergraduate Studies. He holds a PhD from the Royal Military College of Canada (2011), and B.A.Sc. and M.A.Sc. degrees from the University of Ottawa (2003, 2006). His research focuses on mechanisms design, uninhabited aerial vehicles (UAVs), airship systems, slung payload control, and non-linear control strategies. Education: Ph.D. Mechanical Engineering, Royal Military College of Canada (2011) M.A.Sc. Mechanical Engineering, University of Ottawa (2006) B.A.Sc. Mechanical Engineering, University of Ottawa (2003) Research interests include: - Uninhabited aerial vehicle (UAV) design and control - Airship dynamics and structural optimization - Path planning and non-linear control systems - Robotics applications in agriculture and environmental monitoring - Multi-body dynamic modeling - Energy harvesting for transportation systems Recent work emphasizes lighter-than-air UAVs, multibody aerial systems, and reinforcement learning for payload stabilization. His projects address challenges in autonomous systems coordination and environmental sensor deployment. He currently teaches the capstone design course for mechanical engineering students. Advising and grants involve mentoring students in advanced mechanical design and collaborating on industrial projects such as agricultural robotics and energy-efficient UAV systems. His lab focuses on experimental validation of control algorithms and aerodynamic performance optimization.

• Mechanical Engineering
• Uninhabited Aerial Vehicles
• Airship Design
• +۵ مورد دیگر

David Rancourt serves as an Assistant Professor in the Department of Mechanical Engineering within the Faculty of Engineering at the University of Sherbrooke since 2017. His academic journey includes prior roles as Lecturer at both Université de Sherbrooke (2008-2011) and CEGEP de Chicoutimi (2008-2011), followed by Research Assistant positions at Georgia Institute of Technology (2011-2016). His international collaborations include representing Sherbrooke at Georgia Tech for helicopter design research and presenting at conferences across Canada, USA, and France. His educational background features a Doctorate (2016) and Master's in Aerospace Engineering (2012) from Georgia Institute of Technology, complemented by a Master's in Mechanical Engineering (2011) and Bachelor's in Mechanical Engineering (2008) from Université de Sherbrooke. Additional credentials include the International Space University Space Studies Program (2010). Rancourt's research focuses on revolutionary aircraft architectures and propulsion systems, with particular emphasis on electric and hybrid propulsion technologies, tethered UAV payload systems, and helicopter load stabilization. His work bridges theoretical aerodynamics with practical engineering applications, targeting sustainable aviation solutions through innovations in VTOL systems, battery management for cold climates, and magnetorheological actuators for flight control. This research directly addresses industry challenges in emissions reduction and operational efficiency. His publication portfolio demonstrates consistent advancement in aerospace engineering, with recent works centering on tethered UAV capabilities, hybrid-electric powertrain optimization, and novel VTOL architectures. The research shows increasing industry collaboration, particularly with Bombardier, Pratt & Whitney Canada, and Hydro-Québec, reflecting practical applications of his theoretical work. Canadian Space Agency Quantum Magnetometer for Nanosatellite (2021) Best Paper Award, International Conference Living Machines Best Paper Award, American Institute of Aeronautics and Astronautics Discovery of the Year 2012, Québec Sciences Mérite Estrien, La Tribune Phare de la réussite, École secondaire des Chutes Rancourt has successfully mentored numerous graduate students evident through asterisked co-authorships across 30+ publications. His substantial grant portfolio totaling over $6.5M includes major projects funded by NSERC, CRIAQ, and FRQNT, with recent focus on sustainable aviation technologies including battery thermal management for cold climates ($102,300), magnetorheological actuators for flight systems ($372,240), and collaborative UAV lifting systems ($678,000). His industry partnerships with CAE, Bombardier, and Hydro-Québec demonstrate strong technology transfer capabilities. Through initiatives like the EPR2 VTOL concept and tethered payload motion control systems, Rancourt's research group actively develops practical solutions for next-generation aircraft. His leadership in organizing drone operation workshops and military helicopter demonstrations at Sherbrooke demonstrates commitment to practical education and industry-academia collaboration.

• New Aircraft Architectures
• Hybrid Propulsion
• Flight Trajectory Optimization
• +۷ مورد دیگر

Mario Nascimento is a Professor at the University of Alberta 's Department of Computing Science within the Faculty of Science. He previously served as department Chair from 2014-2021 (with a 2019-2020 leave) and holds affiliations with institutions including the National University of Singapore , Aalborg University , and others. His current leave-of-absence status allows focusing on specific research initiatives.

• Spatiotemporal Data Management
• Spatial Crowdsourcing
• Routing Algorithms
• +۳ مورد دیگر

Philippe Doyon-Poulin is an Associate Professor in the Department of Mathematics and Industrial Engineering at Polytechnique Montréal, specializing in human factors engineering and user experience design for complex systems. With extensive industry experience from Bombardier Aerospace (2013-2019), he contributed to the design and certification of flight decks for the CSeries (now A220) and Global 7500 aircraft, conducting over 500 hours of usability testing with pilots in flight simulators. His educational background includes a Doctorate in Industrial Engineering from Polytechnique Montréal (2014), a Master's in Applied Sciences in Industrial Engineering from the same institution, and a Baccalaureate in Physics with specialization in numerical computing from Sherbrooke University. Doyon-Poulin's research centers on cognitive engineering of man-machine systems, with particular focus on user interface design for aviation, healthcare, and industrial applications. His work bridges theoretical human factors principles with practical implementations in real-world contexts, especially in the evolving landscape of Industry 4.0 and digital transformation. He investigates how visual clutter affects performance, how to design effective touch interfaces under vibration conditions, and how to optimize human-system interaction for safety-critical environments. His recent publications demonstrate a strong trajectory across multiple domains including aviation human factors (touchscreen interfaces under vibration), healthcare systems (pediatric ICU decision support), and industrial applications (predictive maintenance systems). The research shows increasing interdisciplinary collaboration, particularly in healthcare applications and human-centered AI development for Industry 5.0 contexts. Doyon-Poulin actively supervises graduate students, with seven Master's theses and two PhD dissertations completed in 2022-2023 alone. His students' work spans aviation interfaces, mining equipment maintenance systems, medical decision support tools, and virtual reality applications for human factors evaluation. His research has attracted media attention, particularly regarding cockpit design for future aircraft and applications of his work in healthcare during the pandemic. He leads research projects that often involve building test environments for human performance evaluation, such as the customizable touchscreen testing bench developed by his Master's student Adam Schachner, which simulates cockpit vibration conditions. His laboratory work bridges theoretical human factors research with practical applications in industry settings.

• User-centered design
• Usability
• User experience (UX)
• +۴ مورد دیگر

William McNally is a Professor at Wilfrid Laurier University's Lazaridis School of Business and Economics. His research focuses on insider trading, financial disclosure, and stock repurchases. He teaches finance pedagogy and explores interdisciplinary applications of machine learning in sports science and geophysics. McNally's recent work integrates physics-based models with deep learning for sports simulations (golf, hockey) and environmental systems. His articles emphasize practical computational solutions, from optimizing golf equipment to climate model calibration, reflecting a strong cross-disciplinary approach.

• Insider Trading
• Financial Disclosure
• Stock Repurchases
• +۱ مورد دیگر

Dr. Reza Faieghi is an Assistant Professor in the Department of Aerospace Engineering at Toronto Metropolitan University and serves as the Director of the Autonomous Vehicles Laboratory. He holds a PhD from the University of Western Ontario, an MSc from Iran University of Science and Technology, and a BSc from Hamedan University of Technology. His research focuses on robotics, machine learning, and virtual reality, with specific applications in uncrewed aerial/ground vehicles, motion control, and human-system interactions. His work integrates advanced control systems with human factors to enhance autonomous systems safety. Current projects include developing intelligent UAV control algorithms, biomechanical modeling for ergonomic design, and VR-based surgical training systems. His research spans aerospace engineering, control theory, biomechanics, and human-computer interaction. Dr. Faieghi teaches courses including Intro to Aerospace Engineering Design, Aerospace Sensors, and Introduction to Machine Learning. He directs the Autonomous Vehicles Laboratory, which focuses on developing intelligent systems for transportation and healthcare applications.

• Robotics
• Machine Learning
• Virtual Reality
• +۶ مورد دیگر