جستجوی استاد راهنمای دانشگاهی

Yan Fengمشاهده پروفایل

استادیار

• mobility behavior
• eXtended Reality (XR)
• evacuation behavior
• +۳ مورد دیگر

Dr. Yan Feng is an Assistant Professor at Delft University of Technology's Department of Transport and Planning and Director of the Mobility in eXtended Reality (XR) Lab. Her research focuses on using XR technologies (Virtual, Augmented, and Mixed Reality) to study human mobility behavior in urban environments, including walking, cycling, automated vehicles, and public transportation. She leads interdisciplinary research at the intersection of transportation engineering, design, architecture, and human-computer interaction, aiming to advance human-centered and inclusive mobility systems. Her research interests include mobility behavior analysis, XR-based methodologies for studying wayfinding, evacuation scenarios, human-vehicle interaction, safety training, and accessibility. Key contributions involve developing XR tools for urban mobility research and addressing diversity and inclusion in transportation systems. Recent work emphasizes validating VR simulations against real-world environments and analyzing pedestrian behavior in high-risk scenarios. Articles highlight methodologies for crowd management strategies, pedestrian choice modeling, and evacuation dynamics. No scientific awards are explicitly mentioned in the provided texts. Dr. Feng’s activities include organizing conferences (e.g., XRIA 2024), delivering keynote talks on automated driving and cycling simulator studies, and serving on editorial boards like the Delft Young Academy. The Mobility in eXtended Reality Lab is central to her work, fostering collaborations across disciplines to innovate mobility solutions.

Constantin Grigoمشاهده پروفایل

پژوهشگر

• Machine Learning
• Uncertainty Quantification
• Stochastic Differential Equ://grigo.userweb.mwn.de/ueber-mich/
• +۲ مورد دیگر

Constantin Grigo is a PhD researcher at the Technical University of Munich (TU Munich), actively engaged in the Continuum Mechanics group. His work focuses on Uncertainty Quantification (UQ) and Machine Learning (ML), particularly for applications in maritime safety, bicycle traffic modeling, and stochastic systems. He has presented his research at major conferences like SIAM UQ and WCCM, and has been recognized with Student Travel Awards from SIAM UQ 2018 and SIAM CSE 2019. Education: Master of Science in Physics, LMU Munich (2015) Bachelor of Science in Physics, LMU Munich (2012) Year abroad at Grenoble INP (2010-2011) Research Interests: Probabilistic machine learning for coarse-graining high-dimensional systems Bayesian model and dimension reduction Stochastic differential equations in heterogeneous media Microscopic traffic simulation for bicycles and autonomous vehicles Digital twin applications for maritime and urban mobility Reduced-order modeling of random materials Selected Awards: SIAM UQ 2018: Student Travel Award Winner SIAM CSE 2019: Student Travel Award Winner His publications span topics such as data-driven scenario specification for autonomous vehicles, bicycle maneuver prediction using neural networks, and physics-constrained surrogates for UQ. He also contributes to open-source simulation tools like SUMO for traffic modeling.

Bochen Jiaمشاهده پروفایل

دانشیار

• Human Factors and Ergonomics
• Wearable Sensors
• Worker Capacity and Safety
• +۴ مورد دیگر

Bochen Jia is an Associate Professor at the University of Michigan-Dearborn's College of Engineering and Computer Science , specializing in Industrial and Manufacturing Systems Engineering . With a background in Industrial & Systems Engineering (PhD and MS) and Engineering Mechanics (MS and BS), he leads research on human factors, ergonomics, and human-exoskeleton interactions. Research Highlights: Investigates worker capacity changes under modern occupational risks Led ASTM International task group to establish exoskeleton digital modeling standards Explores ergonomic challenges in connected/autonomous vehicle design Develops wearable systems for posture and fatigue monitoring Advances pedestrian safety through AR/VR interface design Publications Trends show expertise in biomechanics, AI-driven workload assessment, autonomous vehicle-pedestrian communication, and STEAM education integration over 2018-2025. Scientific Awards include 11 grants from organizations like ASTM International, Michigan Mobility Transformation Center, and Ford Motor Company. Key projects involve exoskeleton standards, automated driving education, and pedestrian safety technologies. Teaching Innovation includes integrating ergonomic competitions, practical engineering tools, and lab development for automotive education. Established a multipurpose lab with external funding to prepare students for future mobility challenges.

• Traffic Safety
• Driver Behavior
• Automated Vehicles
• +۴ مورد دیگر

Jonas Bärgman is a Professor at Chalmers University of Technology, leading the Safety Evaluation research group within the Division of Vehicle Safety at the Mechanics and Maritime Department . His work focuses on understanding traffic safety through interdisciplinary research involving driver behavior, vehicle automation, and environmental factors in pre-crash scenarios. Key research themes include: Quantifying driver comfort zone boundaries using naturalistic driving data Developing counterfactual simulation methods for safety impact assessment Analyzing crash causation mechanisms and driver response modeling Integrating human factors into automated vehicle development Recent publications demonstrate expertise in: Automated emergency braking algorithms Lane change dynamics and timing Crash scenario generation across severity ranges Bayesian modeling of driver behavior Validation of human benchmark models for AV approval He actively contributes to: Teaching Vehicle and Traffic Safety (TME202 masters course Lecturing on Active Safety systems International standardization through ISO participation Collaborative research projects like SENSI , V4SAFETY , and SHAPE-IT

• Intelligent Transport Systems (ITS)
• Road Safety
• Human Factors Engineering
• +۴ مورد دیگر

Professor Andry Rakotonirainy is a renowned expert in road safety and Intelligent Transport Systems (ITS) at QUT's Faculty of Health, School of Psychology & Counselling. He holds a PhD in Computer Science from Sorbonne University and INRIA, France. His research focuses on human factors in ITS, leveraging computer science, engineering, and psychology to improve road safety. He leads the ITS human factors program at CARRS-Q and the Centre for Future Mobility, with over $76M in research grants. Key roles include ARC College of Experts membership and EU project advisory roles. Research Interests: Connected and Automated Vehicles (CAVs) Eco-safe driving systems Human-Machine Interaction Driver Behavior Analysis Transportation Policy Projects: EU-funded LEVITATE (€6.4M) studying societal impacts of CAVs Queensland CAVI-iMOVE CRC initiative ARC grants on AI explainability and AV safety Achievements: Over 300 publications, h-index 45, and 14 ARC grants. Established ICCAM with Université Gustave Eiffel. Advising & Grants: Supervised 6 doctoral and 2 master's students. Active in government/industry committees and grant reviews. Labs/Teams: CARRS-Q, Centre for Future Mobility, and ICCAM collaboration.

Tanvi Maheshwariمشاهده پروفایل

پژوهشگر ارشد

• Urban Planning
• Transportation Design
• Mobility Planning
• +۵ مورد دیگر

Dr. Tanvi Maheshwari is a Research Fellow at the Informal Cities Lab within the Department of Architecture at Monash University. Her research focuses on urban design, transportation planning, and transdisciplinary action research. She holds a PhD from ETH Zürich, a Master of Urban Design from UC Berkeley, and a Bachelor of Architecture from the School of Planning and Architecture, Delhi. Key areas of expertise include mobility planning tools, scenario-based design, and adaptive urban transformation. She is a co-investigator on the 'Adaptive Mobility, Infrastructure and Land Use' project at Singapore-ETH Centre and previously served as Associate Director for Research at Future Cities Laboratory. Her work emphasizes collaborative approaches to address urban challenges through digital tools and futures studies. Dr. Maheshwari has contributed to initiatives like the Citarum Action Research Program in Indonesia and co-founded the nonprofit arch i Platform in India. Her research bridges academic, industry, and community sectors to advance sustainable urban development and equitable mobility solutions.