Find Academic Supervisors

Alexis Lussier Desbiens is an Associate Professor at the Université de Sherbrooke in the Department of Mechanical Engineering , Faculty of Engineering. He co-founded several research labs and initiatives including NSERC CREATE CoRoM (Collaborative Robotics in Manufacturing) and NSERC CREATE UTILI (Uninhabited Aircraft Systems Training). His work bridges robotics, mechanical design, and sports equipment innovation. PhD in Mechanical Engineering (Stanford University, 2012) BEng in Mechanical Engineering (Université de Sherbrooke, 2005) Postdoctoral Research (Harvard University, 2013) His research focuses on robotics and automation , particularly unmanned aerial vehicles (UAVs) with bioinspired design principles for mechanical intelligence. Key areas include: Autonomous UAV perching and climbing Hybrid locomotion systems Sports equipment dynamics (skis, hockey sticks) Magnetorheological actuator applications Conservation biology tools via aerial sampling Recent publications highlight interdisciplinary work in robotics , sports engineering , and ecological monitoring . His projects often integrate mechanical design with environmental or human-centric applications. Scientific recognition includes: Best Student Paper (IEEE SMC, 2021) Best Poster (ISEA, 2020) National Geographic Explorer (2020) CSME Gold Medal (2005) Current grants (2020-2023) include: $339,000 - High-performance UAV for power line interactions $1.65M - NSERC CREATE UTILI training program $120,000 - Intelligent hockey stick development He also leads the CREATEK Research Lab and maintains global collaborations with institutions like Harvard University, Stanford University, MIT, and EPFL.

• Robotics
• Unmanned Aerial Vehicles (UAVs)
• Mechatronics
• +7 more

Prof. Daryl W. Yee is a Tenure Track Assistant Professor at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the Institute of Electrical and Micro Engineering (IEM) and multiple teaching units. He holds a B.Eng. from Imperial College London, and M.Sc. and Ph.D. from Caltech, followed by postdoctoral research at MIT. His research focuses on integrating molecular design and materials processing to develop advanced functional materials addressing societal challenges in healthcare, energy, and climate change. Key research directions include Polymer-to-X additive manufacturing, dynamic polymers, microstructure control in polymers, and novel 3D printer development. Education highlights include: B.Eng in Materials Science and Engineering, Imperial College London (2011-2014) M.Sc. and Ph.D. in Materials Science, Caltech (2014-2020) Postdoctoral Associate at MIT (2020-2022) His lab, ALCHEMY, emphasizes democratizing advanced materials manufacturing through accessible chemistries and processing strategies. Current teaching roles span Materials Science and Engineering and Microengineering. Four PhD students are currently advised, and he oversees courses in electrical engineering and materials engineering. Research interests emphasize hydrogel-based additive manufacturing, nanoparticle superlattices, and polymer design. Though no funded PhD/postdoc positions are currently open, self-funded researchers are encouraged to contact him directly.

• Materials Science
• Additive Manufacturing
• Polymer Chemistry
• +3 more

Teng Wu is a Professor and Director of Graduate Studies in the Department of Civil, Structural and Environmental Engineering at the School of Engineering and Applied Sciences, University at Buffalo . His research focuses on wind engineering, hurricane risk assessment, and climate change adaptation in infrastructure systems. PhD, Civil Engineering, University of Notre Dame (2013) MS, Civil Engineering, University of Notre Dame (2012) MS, Bridge Engineering, Tongji University (2010) BS, Civil Engineering, Tongji University (2007) Minor, Financial Engineering, Fudan University (2006) Teng Wu's research spans multiple domains including Wind Engineering , Hurricane Engineering , Structural Engineering , and Climate Change Adaptation . He specializes in nonlinear aerodynamics, performance-based wind design, and computational fluid dynamics applications to infrastructure resilience. His recent publications focus on machine learning applications for storm surge prediction, wind-induced structural response analysis, and climate change-informed infrastructure recovery frameworks. Key methodologies include hierarchical deep neural networks, knowledge-enhanced models, and reinforcement learning-based control systems. Contact: tengwu@buffalo.edu | Office: 226 Ketter Hall, Buffalo, NY 14260

• Wind Engineering
• Hurricane Engineering
• Structural Engineering
• +8 more

Dr. Tathagata Bhaduri is a Lecturer in the Department of Civil and Environmental Engineering at Rensselaer Polytechnic Institute (RPI). He holds a Ph.D. in Civil Engineering from RPI (2021), an M.Tech. from the Indian Institute of Technology, Kanpur (2016), and a B.E. from the Indian Institute of Engineering, Science and Technology, Shibpur (2014). His research focuses on computational modeling of ultra-high-performance concrete (UHPC), particularly multi-scale techniques, fiber orientation effects, and failure modes in UHPC structures. He also explores smart systems for structural vibration control using bracing and fluid dampers. Dr. Bhaduri teaches core courses including Strength of Materials and Engineering Economics, and served as the course coordinator for Strength of Materials in Fall 2023. His professional involvement includes contributions to the American Concrete Institute (ACI) 239C committee, aiding in UHPC design guide development. His publications emphasize UHPC's mechanical properties, multi-scale modeling, and fiber-reinforced material behavior. Research trends highlight interdisciplinary approaches combining experimental and computational methods to address structural challenges in advanced materials.

• Concrete Materials Science
• Structural Engineering
• Computational Modeling
• +4 more

Dr. Elise Corbin is an Assistant Professor in the Department of Materials Science and Engineering at the University of Delaware. Her research focuses on designing biomaterials and 3D tissue models to study cell-tissue interactions, particularly in cardiovascular science and cancer. She investigates how physical forces, rheological properties, and biochemical cues regulate cell physiology, emphasizing dynamic microenvironments for cardiac and cancer cell studies. Education background includes a BS in Engineering Science (2007, Pennsylvania State University), MS (2009) and PhD (2013) in Mechanical Engineering from the University of Illinois at Urbana-Champaign. Research interests span cancer therapy, regenerative engineering, and biomechanics. Her work integrates material science with biological systems to develop platforms for understanding mechanobiology. Recent studies include magnetorheological elastomers for cardiac tissue alignment and stiffness-tunable substrates for cardiomyocyte studies. Publications emphasize dynamic material systems and cellular mechanics across cardiac, cancer, and neural tissue models. Her lab develops biomaterials with tunable properties to mimic biological environments, enabling insights into disease mechanisms and therapeutic strategies. Dr. Corbin's lab focuses on engineered biological systems and medical applications. Collaborations span mechanical engineering, biomedical sciences, and clinical domains. Future work aims to translate biomaterial innovations into clinical tools for diagnostics and regenerative therapies.

• Biomaterials Engineering
• Cardiac Science
• Tissue & Regenerative Engineering
• +3 more

Chi Zhou is an Associate Professor and Director of Graduate Studies in the Department of Industrial and Systems Engineering at the University at Buffalo. He also holds an adjunct appointment as Adjunct Associate Professor in the Department of Computer Science and Engineering. His research focuses on additive manufacturing, rapid prototyping, and advanced material systems. Zhou has a PhD in Industrial and Systems Engineering (2011) from the University of Southern California, with additional degrees in Computer Science and Industrial Engineering. His work bridges manufacturing processes, material science, and computational methods. Key research areas include inkjet printing process optimization, hydrogel-based 3D printing, thermal insulation materials from agricultural byproducts, and smart material systems like magnetorheological metamaterials. He has pioneered methods for real-time process monitoring and defect detection in additive manufacturing. Zhou’s recent publications emphasize sustainable manufacturing solutions, such as bio-based insulation materials and cost-effective silica aerogel production. His contributions also span energy harvesting (e.g., conductive hydrogel generators) and advanced structural designs using triply periodic minimal structures. He has led interdisciplinary projects integrating digital twins for cyber manufacturing systems and geometric deep learning for mass customization applications.

• Additive Manufacturing
• Rapid Prototyping
• 3D Printing Technologies
• +4 more

Lucia Tsantilis serves as an Associate Professor at the Department of Environment, Land and Infrastructure Engineering (DIATI) at Polytechnic University of Turin, where she also acts as Deputy Coordinator of the College of Civil and Building Engineering and is a member of the SISCON Interdepartmental Center for Safety of Infrastructures and Constructions. Her academic career focuses on sustainable transport infrastructure with emphasis on environmental impacts of pavements and development of eco-friendly materials. Dr. Tsantilis's research spans multiple areas of sustainable infrastructure, particularly focusing on assessment of environmental impacts of pavements, development of high-performance eco-friendly materials containing waste-derived additives, rheology of bituminous and non-petroleum binders, and self-healing properties of construction materials. Her work addresses critical challenges in climate change adaptation and mitigation within transportation infrastructure, aligning with UN Sustainable Development Goals 9, 11, and 13. Her recent publications demonstrate a consistent focus on sustainability metrics for road infrastructure, life cycle assessment methodologies, and innovative material solutions. The research trajectory shows increasing integration of environmental impact analysis with material science, particularly in developing sustainable alternatives for traditional asphalt materials and improving understanding of self-healing mechanisms in construction materials. Dr. Tsantilis actively supervises multiple PhD students including Davide Cimenti, Mattia Di Sessa, Aliasghar Akbari Nasrekani, and Rajab Ali Mehraban in the Civil and Environmental Engineering program. She leads significant research projects including SMASHit (2025-2027) as Scientific Manager and participates in the Green Roads project (2024-2026) as a member of the research group. Her work has practical applications in commercial research, such as the 2018 project on physico-chemical characterization of bituminous milled material.

• Sustainability of transport infrastructures
• Environmental impacts of pavements
• Eco-friendly materials
• +7 more

Professor Neil Sims holds a faculty position in the Department of Mechanical Engineering at the University of Sheffield . His research spans smart fluid dampers , machining vibration control , and uncertainty propagation in structural systems. He has pioneered methods for chatter suppression in high-speed machining and energy harvesting system design. Educational Background: First Degree in Mechanical Engineering, University of Sheffield PhD in Mechanical Engineering, University of Sheffield Research Focus includes smart materials (magnetorheological/electrorheological fluids), nonlinear dynamics , and adaptive control systems . His work integrates computational modeling , experimental validation , and machine learning for industrial applications. Recent Publications highlight advancements in inerter-based vibration absorbers , machine learning for machining optimization , and actuator saturation challenges . These studies reflect his interdisciplinary approach to structural stability and manufacturing efficiency. Scientific Recognition: EPSRC Advanced Research Fellowship (2003-2008) on machining chatter Collaborative Impact extends to seismic isolation , robotic machining , and energy harvesting from human motion and machinery. His editorial work in the Proceedings of the Institution of Mechanical Engineers, Part B (2021) underscores leadership in machining science.

• Smart Fluids
• Modeling and Design of Smart Fluid Dampers
• Control and Stability of Smart Fluid Dampers
• +6 more

Dr. Graham Brooker is a Senior Lecturer at the University of Sydney's School of Aerospace, Mechanical and Mechatronic Engineering since 1999. He holds a PhD (2005) and degrees from the University of the Witwatersrand. Research Interests: Focuses on radar systems for autonomous navigation, rehabilitation engineering (dementia/Parkinson's), medical robotics (birth simulators), and millimeter-wave imaging. His work improves safety in mining/military environments and quality of life through assistive technologies. Recent Projects: Includes radar-acoustic interactions, entomological harmonic radar, dental robotics, cervical tissue modeling, and force analysis during childbirth. Active in developing low-cost radar solutions for road vehicles and microwave weed killing systems. Awards: Notable recognitions include 2010 AMME Teaching Award, 2012 Faculty Teaching Award, and top-tier conference paper prizes. Holds patents and has authored multiple textbooks like Introduction to Biomechatronics (2012) and Sensors for Ranging and Imaging (2022).

• Radar Systems Engineering
• Biomedical Engineering
• Rehabilitation Engineering
• +7 more

Henrique De Carvalho Pinheiro serves as a Fixed-term Assistant Professor in the Department of Mechanical and Aerospace Engineering (DIMEAS) at Politecnico di Torino. He is a member of the CARS@PoliTO Interdepartmental Center for Automotive Research and Sustainable Mobility and participates in the Innovative, Electric and Hybrid Vehicles research group. His academic appointment falls under Law 240/10 art.24-a, reflecting his fixed-term research position with teaching responsibilities. Dr. Pinheiro's research encompasses active suspension systems , automotive engineering , battery electric vehicles , control of hybrid and electric vehicles , and vehicle dynamics . His work particularly focuses on magneto-rheological technology for braking systems and innovative suspension solutions. He contributes to sustainable mobility research aligned with UN Sustainable Development Goals 7 (Affordable and clean energy), 9 (Industry, Innovation, and Infrastructure), and 13 (Climate action). His recent publications demonstrate a strong focus on zero-emission technologies, particularly in braking systems and electric vehicle dynamics. The research spans experimental validation, multi-physics modeling, and control system development for sustainable automotive solutions. A significant portion of his work addresses the integration of magneto-rheological technology with electric powertrains to create innovative braking systems that reduce emissions. Learning to Teach (L2T) badge issued by Politecnico di Torino (June 6, 2024) Dr. Pinheiro supervises three PhD students in Mechanical Engineering: Matteo De Carlo (40th cycle, 2024-present), Elena De Luca (40th cycle, 2025-ongoing), and Elia Grano (38th cycle, 2022-ongoing). He contributes to multiple research projects including SAFEST (2024) on electro-actuated brakes and traction systems, and MATERIALIZED (2023-2025) focused on material rheology for zero-emission driving systems under the PNRR Mission 4 initiative. His laboratory work centers around the development and testing of innovative braking systems, with several national and international patents to his name related to magneto-rheological technology for automotive applications.

• Automotive Engineering
• Vehicle Dynamics
• Electric Vehicles
• +3 more

Dr. Mohammad Hassan Kayhani is an Associate Professor in the Faculty of Mechanical Engineering at Shahrood University of Technology, Iran. He holds a Ph.D. in Heat and Fluids and has established himself as a leading researcher in heat transfer, combustion, and fluid dynamics. With over 2000 citations on Google Scholar (h-index 41) and 1500+ citations on Scopus (h-index 74), his work has significantly impacted the fields of viscoelastic flow, porous media, and multiphase systems. Dr. Kayhani's research interests span a wide range of topics in thermal and fluid sciences. He specializes in heat transfer phenomena, combustion processes, two-phase flow dynamics, viscoelastic fluid behavior, and transport in porous media. His work often combines experimental, numerical, and theoretical approaches to address complex problems in energy systems, oil recovery, and thermal management. Notably, he has made significant contributions to understanding droplet dynamics, viscous fingering instabilities, and film cooling techniques for gas turbine applications. Analysis of Dr. Kayhani's recent publications reveals a strong focus on advanced fluid dynamics phenomena, particularly involving non-Newtonian and viscoelastic fluids. His work bridges fundamental fluid mechanics with practical applications in energy systems, oil recovery, and thermal management. A significant portion of his research investigates multiphase flow behavior, interfacial phenomena, and instability mechanisms in various engineering contexts. Dr. Kayhani has successfully supervised numerous graduate students, with 84 theses listed under his guidance. His students have pursued research in diverse areas including combustion, heat transfer, fluid dynamics, and energy systems. While specific grant information isn't provided in the available text, his extensive publication record and thesis supervision suggest successful research funding. His laboratory work appears to focus on experimental fluid dynamics, heat transfer measurements, and computational modeling of complex flow phenomena. The research involves advanced techniques such as lattice Boltzmann methods, experimental flow visualization, and thermal measurements in various engineering systems.

• Heat Transfer
• Combustion
• Fluid Dynamics
• +4 more

Professor Ningqun Guo holds the dual roles of Professor in Mechanical Engineering and Head of School for both the Malaysia School of Engineering and School of Information Technology at Monash University Malaysia. He previously served at Nanyang Technological University, Singapore. His academic journey includes a B.Eng from Nanjing University of Aeronautics and Astronautics (China) and a PhD from Imperial College London (UK). His research focuses on stress wave propagation, ultrasound applications, smart materials, nondestructive testing, and civil infrastructure analysis. He has published over 130 papers, secured S$2 million in research grants, and supervised over 10 PhD students. Key research areas include ultrasonic technology for material characterization, smart material systems, and image processing for infrastructure monitoring. His work aligns with UN Sustainable Development Goals, emphasizing sustainable infrastructure and innovation. Notable collaborations span global institutions, with recent projects exploring AI-driven pavement crack detection, transparent object reconstruction, and 3D imaging systems. His contributions to magnetorheological fluid applications and nanofluidics further underscore his interdisciplinary impact. Grants and funding have supported projects in sensor development, structural health monitoring, and advanced imaging technologies. His advisory work has produced impactful PhD graduates in mechanical engineering and materials science. Prof. Guo leads research teams focused on smart materials, nondestructive evaluation, and computational imaging. His lab integrates experimental and theoretical approaches to solve challenges in infrastructure, photonics, and nanotechnology.

• Ultrasonic Technology
• Nondestructive Testing
• Smart Materials and Structures
• +5 more

Abirami Gunasekaran serves as a Lecturer in Data Analytics within the Department of Computer Science at the School of Computing and Engineering, University of Huddersfield. She maintains active research engagement and is currently accepting PhD students for supervision. Her research profile centers on machine learning interpretability and predictive modeling, with strong emphasis on: Explainable AI (XAI) methodologies Model class reliance analysis Predictive maintenance systems Interdisciplinary applications in engineering and materials science Recent work demonstrates consistent innovation in model explanation frameworks, particularly for handling explanation multiplicity across machine learning systems. Her publications bridge theoretical machine learning with practical engineering applications, including failure prediction in mechanical systems and rheological fluid analysis. Since 2023, she has produced four significant research outputs with measurable scholarly impact, including journal articles in SN Computer Science and Machines, plus conference contributions at icSoftComp 2022. Her work shows growing citation metrics and cross-platform academic engagement. No scientific awards were documented in the source material. Dr. Gunasekaran actively supervises graduate research and maintains collaborative networks across computer science and engineering disciplines, with recent publications indicating strong institutional partnerships within the University of Huddersfield's research ecosystem.

• Machine Learning
• Artificial Intelligence
• Predictive Modeling
• +3 more

Roope Raisamo is a Professor in the Department of Computing Sciences at Tampere University, part of the Faculty of Information Technology and Communication Sciences. His research focuses on advanced human-computer interaction, virtual/augmented reality systems, haptic feedback technologies, and their applications in medical, automotive, and assistive technology domains. He leads multidisciplinary projects involving collaboration with industry partners like car manufacturers and healthcare institutions. Key areas of expertise include: (1) Design of immersive XR environments with multimodal feedback integration, (2) Haptic actuator development using smart materials like magnetorheological fluids, (3) Ergonomic interfaces for autonomous vehicles, and (4) Accessibility solutions for seniors and disabled populations. His work bridges theoretical HCI research with practical applications seen in surgical training systems, automotive UIs, and wearable communication aids. Raisamo's research outputs from 2023-2025 show strong focus on: - Sensory augmentation in food perception through XR (2025) - Medical VR applications for surgical planning and tumor visualization (2024-2025) - Haptic-mediating technologies for automotive and industrial interfaces (2023-2025) He has pioneered the use of embedded haptic waveguides in steering wheel interfaces and developed novel textile-based AAC systems for non-verbal communication. Current projects include exploring the medical metaverse for collaborative surgical planning and creating AI-enhanced research tools like TAUCHI-GPT.

• Virtual Reality (VR)
• Human-Computer Interaction
• Haptic Feedback Systems
• +7 more

Richard Christenson is a Professor in the School of Civil and Environmental Engineering at the University of Connecticut. He holds a Ph.D. from the University of Notre Dame (2002). His research focuses on Smart Structures, Structural Control, Vibration Mitigation, and Real-Time Hybrid Testing. Key areas include advanced damping systems like MR dampers, bridge weigh-in-motion (BWIM) systems, and structural health monitoring (SHM). Education: Ph.D., Civil Engineering, University of Notre Dame, 2002 Research Interests: Real-time hybrid simulation methodologies for seismic and aeroelastic systems Development of vibration mitigation devices using magneto-rheological (MR) dampers Integration of sensor technologies (e.g., infrasound, video analytics) for infrastructure monitoring Optimization of bridge weigh-in-motion systems for infrastructure safety Research Contributions: His work spans laboratory-scale experiments to large-scale infrastructure projects, including collaborations with the Connecticut Transportation Institute and National Institute for Undersea Vehicle Technology (NIUVT). Notable applications include earthquake-resistant building systems and advanced BWIM methodologies for highway bridges. Grants & Collaborations: Active in federal and state-funded initiatives, including the NSF EAGER/Collaborative Research on aeroelastic real-time hybrid simulation and the Connecticut Department of Transportation’s BWIM programs. Labs & Facilities: Oversees laboratory research in real-time hybrid testing, structural dynamics, and smart materials at UConn’s Castleman Building. Collaborates with the NIUVT for underwater vehicle technology advancements.

• Smart Structures
• Structural Control
• Vibration Mitigation
• +4 more