Find Academic Supervisors

• Computational Mechanics
• Wind Turbine Dynamics
• Railway System Dynamics
• +4 more

Håkan Johansson is a Professor in the Dynamics division of the Department of Mechanics and Maritime Sciences at Chalmers University of Technology. His research focuses on computational methods to analyze controlled mechanical systems, with applications in wind turbines, heavy vehicle drivelines, and wave propagation in soft biological tissues. Professor Johansson's primary research interests include computational mechanics, wind turbine dynamics, railway system dynamics, biomechanics, condition monitoring systems, optimization methods, and structural dynamics. His work bridges theoretical computational methods with practical engineering applications across multiple domains, particularly in renewable energy systems and transportation infrastructure. Analysis of his publication record reveals a strong focus on computational modeling applied to real-world engineering problems. His recent work demonstrates significant contributions to wind turbine technology, railway infrastructure monitoring, and biomechanical modeling. The publications show a consistent pattern of applying advanced computational techniques to solve complex mechanical system challenges, with increasing emphasis on digital twin technology and model-based condition monitoring systems. Professor Johansson leads or participates in multiple research projects including 'Towards Digital Twins of the Human Body for Personalized Safety' (2025-2026), 'AI-Driven Constrained Optimal Control for Bi-manual Loco-Manipulation' (2024-2029), and 'A Digital Twin for Durability to Accelerate Development and Enable Predictive Maintenance' (2024-2027). His research has received funding from various sources including VINNOVA, Wallenberg AI program, and Swedish Wind Power Technology Center. His research group focuses on computational methods for mechanical systems with applications across multiple domains. The work involves developing advanced computational models, validation through experimental data, and implementation in real-world monitoring and optimization systems. Current efforts emphasize digital twin frameworks and model-based condition monitoring for various engineering systems.

Mark HeinrichView profile

Associate Professor

• Parallel Computer Architecture
• Heterogeneous Architectures
• Active Memory and I/O Systems
• +4 more

Mark Heinrich is an Associate Professor in the Department of Computer Science at the University of Central Florida (UCF), where he also serves as Undergraduate Coordinator for CS and IT, and Senior Design Coordinator. He previously held roles at Cornell University and has industry experience co-founding companies like Phanfare and Flashbase. His research focuses on parallel computer architecture, heterogeneous systems, cache coherence protocols, and multiprocessor simulation. Heinrich holds a Ph.D. in Electrical Engineering from Stanford University (1998) under John Hennessy, and a B.S. in Electrical Engineering and Computer Science from Duke University (1991). Research Interests His work spans parallel architectures, active memory systems, scalable cache coherence protocols, and hardware/software co-design. Recent efforts include innovations in persistent memory technologies and multiprocessor simulation methodologies. Teaching In Spring 2020, he taught CS Senior Design I and II courses (COP 4934/4935), with office hours focused on senior design and undergraduate coordination. Professional Background Associate Professor at UCF since 2003 Past roles: Director of UCF's School of Computer Science (2005), Associate Director of EECS (2005-2007) Co-founder of the Cornell Computer Systems Laboratory Contributed to the FLASH multiprocessor architecture and its simulation tools Labs & Projects He has been involved in projects like Active Memory Clusters and architectural support for multiprocessor systems. His work often bridges theoretical computer architecture with practical hardware implementations.

Christopher CherryView profile

Professor

• Sustainable Transportation
• Non-Motorized Transportation Safety
• Travel Behavior and Demand
• +14 more

Christopher Cherry is a Professor and Associate Department Head of Undergraduate Studies in the Department of Civil and Environmental Engineering at the University of Tennessee, Knoxville. His research focuses on sustainable transportation, micromobility (e-bikes, e-scooters), pedestrian and bicycle safety, and the impacts of emerging technologies on urban mobility systems. PhD, Civil and Environmental Engineering–Transportation, University of California, Berkeley (2007) MS, Civil Engineering–Transportation, University of Arizona (2003) BS, Civil Engineering, University of Arizona (2000) Dr. Cherry’s research interests lie at the intersection of transportation engineering, behavioral science, and sustainability. He investigates travel behavior, transportation economics, and the safety implications of shared and electric micromobility systems. His work emphasizes non-motorized transportation and the integration of new technologies into urban planning. He leads the Light Electric Vehicle Education and Research (LEVER) Initiative and is an Associate Director of the Center for Pedestrian and Bicyclist Safety (CPBS), a multi-institutional UTC led by the University of New Mexico. His recent publications span topics such as e-bike adoption, micromobility safety, transit integration, and urban delivery systems. Collectively, these works reflect a strong emphasis on data-driven policy, behavioral modeling, and the environmental and public health impacts of transportation choices. NSF CAREER Award TCE Ferris Faculty Award (2015) TCE Professional Promise in Research Award (2014) CEE Research Recognition Award (2009, 2012) Member, Transportation Research Board Chair, SAE Micromobility Committee Dr. Cherry has supervised numerous PhD and MS students in transportation research and has led multiple federally and state-funded projects on micromobility, transit, and safety. He is actively involved in professional service and collaborates with institutions across the U.S. and internationally, including UC Berkeley, Tsinghua University, and the Asian Development Bank. His work bridges engineering, policy, and public health to advance sustainable and equitable urban mobility. He leads research initiatives on e-bike and e-scooter safety, urban logistics, and the integration of big data into transportation planning. His team utilizes smartphone-based data collection, video analysis, and simulation models to understand real-world behavior and improve system design.

David LoganView profile

Associate Professor

• Traffic Engineering
• Vehicle Safety
• Road Safety
• +2 more

David Logan is an Associate Professor and Senior Researcher at Monash University Accident Research Centre, leading the Traffic Engineering and Vehicle Safety team. With a PhD in Mechanical Engineering, his research focuses on road safety strategy modeling, pedestrian/intersection safety, crash investigation, and naturalistic driving studies. His publications emphasize practical applications of safety research, including naturalistic driving data analysis, child restraint systems, light rail safety, and emerging vehicle technologies. Recent work includes systematic reviews on driver drowsiness and infrastructure applications of driving data. Logan contributes to global road safety initiatives through collaborations with WHO and World Bank, including projects in Thailand and Bangladesh. He chairs Monash's Health, Safety, Wellbeing & Environment Committee and supervises PhD candidates investigating automated vehicle safety, enforcement optimization, and mobility shifts.

• Transportation Engineering
• Traffic Safety
• Transportation Planning
• +3 more

Dr Zeke Ahern is a Research Fellow in Transport Engineering and Planning at Queensland University of Technology (QUT), affiliated with the School of Civil & Environmental Engineering. He holds a PhD from QUT. His research focuses on transportation safety, crash frequency modeling, and optimization of public transit systems. Dr Ahern’s work emphasizes multi-objective frameworks for analyzing crash data, improving safety infrastructure, and enhancing urban mobility through advanced statistical and computational methods. He has collaborated on projects involving raised safety platforms, parking payment behavior, and integrated bus route design. His publications reflect contributions to transportation engineering, traffic safety, and data-driven decision-making in civil infrastructure. Research Interests: Dr Ahern’s primary areas include crash frequency modeling, transportation safety infrastructure evaluation, and the application of optimization algorithms (e.g., simulated annealing, metaheuristics) to transportation problems. He develops tools like the Metacountregressor Python package to assist in analyzing count data models, bridging software engineering and transportation research. Publications highlight trends in data-driven safety analysis and infrastructure optimization. His work spans both theoretical advancements (e.g., hypothesis testing for crash models) and practical applications (e.g., raised platform effectiveness reviews). Recent efforts emphasize integrating multiple objectives into transportation planning, such as balancing safety, efficiency, and cost-effectiveness.

Mohammad Razaur Rahman ShaonView profile

Researcher

• Transportation Engineering
• Traffic Safety
• Crash Data Analysis
• +4 more

Dr. Mohammad Razaur Rahman Shaon is an Associate Research Scientist at the Connecticut Transportation Institute (CTI), part of the University of Connecticut. Previously, he served as a Senior Research Specialist at the University of Arizona's Department of Civil and Architectural Engineering and Mechanics. He holds a Ph.D. in Transportation Engineering from the University of Wisconsin-Milwaukee, an M.Sc. from South Dakota State University, and a B.Sc. from Bangladesh University of Engineering and Technology (BUET). His research focuses on highway safety, crash data analysis, vulnerable road user protection, intelligent transportation systems, and driver behavior modeling. He has contributed to over 25 peer-reviewed publications and serves as a reviewer for journals like Accident Analysis and Prevention and the Journal of Transportation Engineering. Dr. Shaon’s work emphasizes the intersection of human behavior and safety, particularly in driver decisions and their impact on collision outcomes. His research on autonomous vehicles and pedestrian safety has garnered media attention for enhancing public safety awareness. He has led or co-PI’d numerous projects funded by federal, state, and local entities, addressing systemic safety, automated vehicle integration, and traffic management innovations. His current affiliations include CTI’s CAPLab, CTSRC, and T2Center, where he develops safety tools and evaluates advanced transportation systems. Recent studies highlight trends in autonomous vehicle interaction with pedestrians, E-scooter impacts on bike-sharing systems, and data-driven safety screening methodologies. His work bridges technical advancements with societal needs, aiming to improve transportation infrastructure and user safety through rigorous analysis and policy development.

Mostafa El SayedView profile

Associate Professor

• Multiscale Mechanics of Meta-Materials
• Additive Manufacturing
• Fluid Structure Interaction
• +6 more

Mostafa El Sayed is an Associate Professor in the Department of Mechanical and Aerospace Engineering at Carleton University. He serves as Director of the Aerospace Structures and Materials Engineering Laboratory (ASME-Lab). His academic credentials include a B.Sc. and M.Sc. from the Military Technical College and a Ph.D. from McGill University, supplemented by postdoctoral research at MIT. Prior to academia, he worked as an Aircraft Loads Engineering Specialist at Bombardier Aerospace, contributing to structural design and optimization of new aircraft programs. His research focuses on multiscale mechanics of meta-materials, additive manufacturing for green technologies, fluid-structure interaction, and structural optimization for aerospace applications. Key projects include developing lightweight materials for aircraft and spacecraft, enhancing energy absorption mechanisms, and optimizing designs for future transport concepts. Publications span topics such as lattice material characterization, aeroelasticity, and fatigue analysis. He actively mentors students through ASME-Lab, offering opportunities in cutting-edge research aligned with industry needs. His work bridges theoretical advancements with practical applications in aerospace structural design and materials innovation. El Sayed is a Professional Engineer (PEO) in Ontario and has contributed to industry collaborations through Bombardier and MIT affiliations. His lab emphasizes hands-on experience with advanced manufacturing techniques and computational modeling tools.

Ondrej VaculinView profile

Professor

• Passive Vehicle Safety
• Automated Driving
• Vehicle Dynamics
• +3 more

Prof. Ondrej Vaculin, Ph.D., is a Professor at Technische Hochschule Ingolstadt (THI), specializing in passive vehicle safety, mechatronic systems, and automated driving. He joined THI in 2018 and previously held roles at TÜV SÜD Prague (2008–2018) as Vice President for Safety and Security in Automotive, and as a researcher at Czech Technical University (2005–2008) and DLR Oberpfaffenhofen (2000–2005). His research focuses on enhancing vehicle safety through advanced simulation, sensor integration, and machine learning applications. Education: Ph.D. in Mechanics of Solids, Deformable Bodies and Continua from Czech Technical University in Prague (2001), and a degree in Technical Cybernetics from the Faculty of Electrical Engineering at the same university (1991). His work bridges theoretical research and practical implementation, addressing challenges in automated driving systems, crash simulation, and human body diversity in safety design. Research interests include passive safety systems, autonomous vehicle dynamics, and infrastructure integration for safety enhancements. Recent publications emphasize collaborative smart infrastructure, sensor fusion for free space detection, and machine learning in crash detection. He actively contributes to FISITA, serving as a Council Delegate and member of technical committees. Awards/memberships: Active in FISITA, holding leadership roles in technical committees. No explicit awards listed, though his contributions to automotive safety standards are notable. Grants and advising: While no specific grants or students are detailed, his extensive industry and academic collaborations (e.g., IN2Lab testing field projects) highlight his role in applied research and development.

Niyousha HosseinichimehView profile

Associate Professor

• Health Systems Engineering
• Public Health Policy
• System Dynamics Modeling
• +4 more

Niyousha Hosseinichimeh is an Associate Professor in the Grado Department of Industrial and Systems Engineering at Virginia Tech's College of Engineering. Her research focuses on improving health and healthcare systems through system dynamics modeling and simulation. She holds a Ph.D. in Public Policy from SUNY Albany (2012) and a B.S. in Mechanical Engineering from Sharif University of Technology (2001). Her work addresses complex issues like adolescent drinking/driving behaviors, major depressive disorder, and infant mortality. Methodologically, she advances calibration techniques for dynamic models and group model-building approaches. Her research has been funded by NIH, NSF, and the Ohio Department of Health. Notable contributions include modeling the hypothalamus-pituitary-adrenal axis and developing tools for rapid parameter estimation in system dynamics. She advises students such as Alba Rojas-Cordova (winner of multiple awards) and Arash Baghaei Lakeh. Her grants include projects on depression dynamics and emergency department utilization. Her work intersects systems engineering, public health, and computational methods, emphasizing practical policy and clinical applications.

John B. RundleView profile

Professor

• Geophysics
• Statistical Physics
• Earthquake Dynamics
• +4 more

John B. Rundle is a Distinguished Professor at the University of California, Davis, holding joint appointments in the Departments of Physics and Earth and Planetary Sciences. His research focuses on complex systems, particularly geophysical phenomena like earthquakes, and their analogies to economic systems. He is affiliated with the W.M. Keck Center for Active Visualization in the Earth Sciences (KeckCAVES). Education: Ph.D. in Physics from the University of California, Los Angeles (1976). Research Interests: Dr. Rundle applies statistical physics and nonlinear dynamics to study earthquakes, phase transitions, and first-order system collapses. He pioneered methods for earthquake forecasting using chaos theory and large-scale simulations. Recently, he explores 'econoquakes'—financial crashes modeled after seismic events. Awards: Fellow of the American Geophysical Union (2008) NASA Software of the Year (2012) for Quake Sim Fellow of the American Association for the Advancement of Science (2017) Grants & Advising: While specific grants or student names are not detailed here, his work involves interdisciplinary teams and computational modeling projects. His lab, KeckCAVES, develops visualization tools for Earth sciences.

Duane CroninView profile

Professor

• Trauma Biomechanics
• Injury Prevention
• Finite Element Modeling
• +5 more

Duane Cronin is a Professor and Tier 1 Canada Research Chair in Trauma Biomechanics and Injury Prevention at the University of Waterloo. His research focuses on computational biomechanics, human body modeling, and injury prevention strategies, with applications in automotive safety, sports safety, and military protection systems. He leads a lab investigating material characterization, finite element modeling, and biomechanical testing of musculoskeletal systems. Key areas of study include neck injury mechanisms in vehicle crashes, thorax response to ballistic impacts, and spinal cord biomechanics. He develops advanced computational models validated against experimental data to predict injury risks under various loading conditions. His work integrates multidisciplinary approaches combining engineering, medicine, and computer science. Recent research trends involve refining human body models with anatomically specific geometries and advanced material properties, particularly for vulnerable populations like elderly and pediatric patients. He also explores adhesive joint mechanics in automotive materials and synthetic turf performance in sports injury mitigation. His team collaborates on projects funded by industries and government agencies, aiming to translate biomechanical insights into real-world safety improvements. Active in academic leadership, he mentors graduate students in biomechanics and hosts international symposia to advance injury prevention research.

• Extreme Value Theory
• Financial Risk Management
• Market Volatility
• +4 more

François Longin is a Professor of Finance at ESSEC Business School, France, where he has held academic roles since 1994, including Head of the Finance Department (2019–2025). He earned his PhD in Finance from HEC Paris (1993) and a DEA in Probability from Paris VI University. His research focuses on extreme events in finance, risk management, and applications of extreme value theory, with notable contributions to Value at Risk (VaR) methodologies, market volatility analysis, and operational risk assessment. He has been recognized with the Chicago Board of Trade Award (1996) and a Labex grant (2015). Prof. Longin’s professional roles include Director of Research and Innovation at HSBC Continental Europe (1999–2003) and consultancy for financial institutions. He co-founded the FinLink professional network and leads the SimTrade trading simulation project. He has authored over 60 publications in top journals like the Journal of Finance and Review of Financial Studies , and edited major works such as Extreme Events in Finance: Handbook of Extreme Value Theory (2016). His research bridges academia and practice, addressing critical issues like financial regulation impact, portfolio management during crises, and gender dynamics in finance. He has held editorial roles at journals including Journal of Banking and Finance and serves on multiple academic and industry committees.

• Transport Policy
• Road Safety
• Traffic Psychology
• +5 more

Professor Wafaa Saleh is affiliated with Edinburgh Napier University , where she contributes to the School of Computing Engineering and the Built Environment . Her research spans Transport Policy , Pedestrian Safety , and Travel Demand Management , with a focus on sustainable mobility and behavioral impacts of technology on road safety. Research Interests : Transportation sustainability, pedestrian behavior at junctions, motorcycle emissions, congestion pricing, and AI applications in transportation. Advisees : Supervised students in studies involving road safety in Qatar, bus passenger discomfort analysis, and mode choice modeling using behavioral theories. Grants & Projects include funding from the European Commission for gender inclusion in transport systems, the Qatar National Research Fund , and Tabuk University for Saudi Arabian transport behavior studies. Key publications address helmet compliance , pedestrian red-light violations , and congestion charging impacts . Collaborations span institutions in Taiwan, Saudi Arabia, and the UK, with work featured in journals like Transportation Research Part A and Accident Analysis and Prevention . Her Transport Research Innovation Centre involvement highlights interdisciplinary approaches to road safety and emissions reduction.

Kenneth W. WisianView profile

Researcher

• Geothermal Systems
• Geophysics
• Planetary Geology
• +6 more

Dr. Kenneth W. Wisian serves as Associate Director of the Environmental Division at the Bureau of Economic Geology (BEG), part of the University of Texas at Austin's Jackson School of Geosciences. A distinguished geophysicist with a unique background combining military leadership and scientific expertise, he previously served as a Major General in the USAF (retired) and held senior state executive positions responsible for disaster recovery, oil spill prevention, and coastal infrastructure protection in Texas. His educational background includes: Ph.D. in Geophysics, Southern Methodist University, 1999 M.S. in Strategic Studies, US Army War College, 2004 M.S. in Geology, Centenary College of Louisiana, 1990 Graduate, US Air Force Test Pilot School, 1990 B.A. in Physics, University of Texas at Austin, 1982 Dr. Wisian's research spans diverse fields including geothermal systems, planetary geology, space exploration, infrastructure resiliency, and international relations. His work bridges traditional geoscience with cutting-edge applications in autonomy, drone technology, and applied gravity. His military career as a navigator/bombardier included flying bombers, transports and fighters, commanding the 147th Reconnaissance Wing flying the MQ-1 Predator, and participating in combat missions in Iraq, Afghanistan and Bosnia. His publication record shows a fascinating evolution from traditional geothermal research in the 1990s toward increasingly interdisciplinary work connecting geoscience with space policy, interstellar flight planning, and extraterrestrial intelligence considerations in the 2010s and 2020s. This trajectory reflects his unique position at the intersection of earth sciences, national security, and space exploration. His notable awards include: Fellow, British Interplanetary Society (2019) Bronze Star Medal for Afghanistan deployments (2005-2008) Air Medal for Iraq deployment (2003) Finalist for NASA biennial astronaut selection (1999) Roy M. Huffington Fellowship (1992-1999) As a military officer, General Wisian led disaster response efforts for the Shuttle Columbia crash and multiple hurricanes. His current work at BEG coordinates environmental-related research, building on his extensive background in both scientific research and operational leadership. His interdisciplinary approach connects traditional geoscience with emerging fields like planetary geology and space policy, making significant contributions across multiple domains.

Kristie YoungView profile

Research Fellow

• Human Factors
• Distracted Driving
• Human Machine Interface (HMI) Design
• +9 more

Kristie Young is a Senior Research Fellow at the Monash University Accident Research Centre (MUARC), within the Faculty of Medicine, Nursing and Health Sciences at Monash University. She is actively involved in high-impact research on human factors in road safety, with a focus on distracted driving, driver behavior, and vehicle automation. She leads and contributes to numerous national and international research projects and is accepting PhD students. Education: Bachelor of Applied Science (Psychology) (Honours), Deakin University PhD in Human Factors, Monash University Kristie's research centers on human factors in road transport, particularly driver distraction, adaptation to in-vehicle technologies, Human Machine Interface (HMI) design, and automated vehicles. Her work integrates naturalistic driving studies, driving simulations, and surveys to understand real-world driver behavior. She investigates how drivers self-regulate their engagement with non-driving tasks and how technology can be designed to enhance safety. Her research has significant implications for road safety policy, vehicle design, and public education campaigns, especially targeting young and high-risk drivers. Her recent publications reveal a strong trend in using naturalistic driving data to analyze driver distraction, self-regulation, and the role of executive function. There is also growing emphasis on automated vehicles, HMI design, and the application of AI for distraction detection. Her work spans cognitive psychology, transportation engineering, public health, and policy development. Scientific Awards: ARC Discovery Early Career Researcher Award (2016) Best Paper by an Early Career Researcher (2013) Best Research Paper 2020 Monash Injury Research Institute Award for Outstanding Research by an Early Career Researcher (2011) MUARC 2024 Seeding Grant Kristie has secured competitive research grants, including an ARC DECRA grant, and leads major projects such as the implementation of the National Driver Distraction Roadmap and research on automated vehicles for high-risk drivers. She advises on policy through submissions to government inquiries and collaborates extensively with national and international institutions. Her research is supported by organizations such as the Australian Research Council, Transport for NSW, and the Road Safety Trust (UK). Kristie is a key member of the Human Factors and Sustainable Safety team at MUARC, contributing to one of Australia’s leading road safety research centers. Her work involves interdisciplinary collaboration with psychologists, engineers, and public health experts, and she utilizes advanced facilities such as the Integrated Facility for Recording Driver and Road User Behaviour.