جست‌وجوی استاد و پژوهشگر

Zachary Doerzaphمشاهده پروفایل

دانشیار

• Automotive Safety
• Connected and Automated Vehicles
• Driver Behavior Analysis
• +۳ مورد دیگر

Zachary Doerzaph is an Associate Professor in Virginia Tech’s Department of Biomedical Engineering and Mechanics, and serves as Executive Director of the Virginia Tech Transportation Institute (VTTI) and President of the Global Center for Automotive Performance and Simulation (GCAPS). His research focuses on automotive safety, connected/automated vehicles, driver behavior, and infrastructure design. He leads a multidisciplinary team addressing next-gen transportation challenges through advanced technologies like big data analytics and AI. Education : Ph.D. Industrial and Systems Engineering (2007), Virginia Tech M.S. Industrial and Systems Engineering (2004), Virginia Tech B.S. Mechanical Engineering (2001), University of Idaho Research Interests : Connected/automated vehicle systems Driver-vehicle interaction Risk prediction and mitigation Infrastructure safety design Human factors in transportation Key Contributions : Developed PREPARES rear-end collision mitigation system Advanced LiDAR/radar fusion for vehicle sensing Guided automated vehicle handover studies Testified on autonomous tech impacts to U.S. Senate (2018) Awards : Virginia Business 100 (2022) Virginia Tech Distinguished Leader in Research (2021, 2023) Labs/Initiatives : Virginia Tech Transportation Institute Global Center for Automotive Performance and Simulation

Marieke H. Martensمشاهده پروفایل

استاد

• Automated Driving
• Human Factors
• Traffic Safety
• +۳ مورد دیگر

Marieke H. Martens is a Full Professor of Automated Driving & Human Interaction at Eindhoven University of Technology (TU/e) and Director of Science at TNO’s Traffic & Transport unit. Her work focuses on human behavior in automated driving systems, addressing challenges like trust, control transitions, and societal acceptance. She holds a PhD in Experimental Psychology from Vrije Universiteit Amsterdam and previously served as a professor at the University of Twente. Education: PhD in Experimental Psychology, Vrije Universiteit Amsterdam (2007) Master’s in Experimental and Cognitive Psychology, Vrije Universiteit Amsterdam Research Interests: Human factors in automated vehicles, human-machine interaction design, road user safety, and the societal implications of smart mobility. Her work bridges psychology, engineering, and design to ensure systems are user-centered and safe. Awards: CHI '20 Best Paper Award (2020) AutomotiveUI '20 Honorable Mention Award (2020) Advising & Grants: Supervises over 10 students, focusing on automated driving’s human aspects. Active in projects like ISA-FIT (Intelligent Speed Assistance) and dynamiC spEed Limits. Collaborates globally with institutions and automotive industries. Labs & Networks: Leads TU/e’s Designing With Intelligence initiative and participates in EU ethics committees for automated mobility. Maintains a global network in academia and industry, fostering interdisciplinary research.

Asmus Skar Christiansenمشاهده پروفایل

دانشیار

• Pavement Engineering
• Geotechnical Engineering
• Sensing Technologies
• +۴ مورد دیگر

Asmus Skar Christiansen is an Associate Professor in Pavement Engineering at the Department of Environmental and Resource Engineering, Technical University of Denmark (DTU Sustain). He serves as Head of Study for the Nordic Master in Cold Climate Engineering programme and lectures on pavement engineering, Arctic road construction, and foundation design. His academic career at DTU spans from Postdoc researcher (2017-2019) to Assistant Professor (2020-2023) and current Associate Professor position since 2023. His research centers on pavement technology and geotechnics with specialization in: Development of advanced testing and modeling techniques for pavements Integration of modern sensing technologies in civil infrastructure Computational mechanics for soil-structure interaction Sustainable materials for cold climate engineering Recent work demonstrates a clear shift toward IoT-enabled monitoring systems and data-driven pavement assessment, with 80% of 2023-2025 publications focusing on sensor integration and machine learning applications. Notable scientific contributions include: Creation of open-source datasets (LiRA-CD, RIVA) for road condition modeling Development of thermomechanical models for heated pavements Innovations in waste soil reuse for infrastructure He actively supervises PhD candidates across multiple projects including GREENPIPE (self-sensing pipe systems) and urban pavement analysis, while maintaining industry consultancy through COWI A/S collaborations. Christiansen also contributes to sustainable infrastructure through DTU's alignment with UN SDG 9 (Industry, Innovation, and Infrastructure) and SDG 11 (Sustainable Cities).

• Traffic Psychology
• Driving Behavior
• Road Safety
• +۳ مورد دیگر

Karel Brookhuis is a Professor in Clinical Neuropsychology at the Faculty of Behavioural and Social Sciences. His research focuses on traffic psychology, driving behavior analysis, and transportation safety, particularly examining the effects of medications, impairments, and environmental factors on road users. Brookhuis utilizes driving simulator methodologies to investigate behavioral patterns in controlled environments. His research examines: Psychopharmacological impacts on driving performance Safety adaptations for visually impaired cyclists Alcohol consumption effects on next-day functioning Road engineering and speed limit compliance Publications demonstrate consistent focus on transportation neuropsychology with recent emphasis on medication effects and vulnerable road users. Awarded a Royal Decoration for scientific contributions, he has supervised 19 research students and contributes to European transportation safety initiatives.

• Transportation Safety
• Automated Vehicles
• Human Factors in Transportation
• +۳ مورد دیگر

Rakotonirainy Andry is a Professor at Queensland University of Technology (QUT), affiliated with the Centre for Accident Research & Road Safety - Queensland (CARRS-Q). His research focuses on transportation safety, automated vehicles, human factors, and intelligent transportation systems (ITS). He leads interdisciplinary projects exploring driver behavior, connected vehicle technologies, and the societal impacts of automation. Key areas include accident prevention, human-vehicle interaction, and equity in transport systems. His work integrates machine learning, simulation studies, and behavioral analysis to address challenges in road safety. Notable contributions include studies on driver stress detection, automated vehicle acceptance, and the Australian Naturalistic Driving Study (ANDS). He collaborates with institutions globally, advancing innovations like connected vehicle pilots and multimodal AI for traffic safety. Research interests span automated driving systems, vulnerable road user protection, and policy implications of emerging technologies. His findings contribute to safer transportation policies and technologies, emphasizing both technical and human-centric perspectives.

Vinh Nguyenمشاهده پروفایل

استادیار

• Advanced Manufacturing
• Industry 4.0
• Human-Robot-Machine Interaction
• +۵ مورد دیگر

Vinh Nguyen is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at Michigan Technological University, where he directs the Michigan Tech Center for AI and coordinates the NIST-PREP program. His research focuses on advanced manufacturing through Industry 4.0, human-robot-machine interaction, and physics-based/data-driven modeling. He has developed solutions for machining, additive manufacturing, metal forming, and robotic assembly to promote smart and sustainable manufacturing. Prior to joining Michigan Tech in 2022, he was a National Research Council Postdoctoral Fellow at NIST (2020–2022). Dr. Nguyen earned his PhD (2020), MS in Mechanical Engineering (2017), and MS in Electrical & Computer Engineering (2017) from Georgia Institute of Technology. He received dual bachelor’s degrees in Electrical and Mechanical Engineering from Rensselaer Polytechnic Institute (2014). His research portfolio spans Advanced Manufacturing Industry 4.0 and 5.0 Human-Robot Interaction Physics-Based/Data-Driven Modeling Industrial Automation based on his lab’s interdisciplinary focus on human-centric, resilient solutions. His recent publications address trends in Machine Learning for Manufacturing Autonomous Vehicle Sensors Hybrid Additive/Subtractive Manufacturing Augmented/Mixed Reality Interfaces Industrial Robot Diagnostics Material-Specific Machining with keywords spanning Robotics, Data Science, and Industrial Engineering.

Allister Loderمشاهده پروفایل

استاد

• Mobility Policy
• Transportation Engineering
• Urban Planning
• +۳ مورد دیگر

Prof. Allister Loder is a Professor of Mobility Policy at the Technical University of Munich (TUM), affiliated with the TUM School of Social Sciences and Technology . His research focuses on mobility policy analysis, evaluation of policy measures, and urban transportation innovations. He holds a doctorate in Transportation from ETH Zurich (2019) and has held roles at Swiss Federal Railways (SBB) and TUM's Chair of Transportation Engineering and Technology. Since 2023, he leads a DFG-funded Emmy Noether Research Group. Education: Mechatronics Engineering, Hamburg University of Technology Energy Science and Technology, ETH Zurich PhD in Transportation Engineering, ETH Zurich (2019) Research emphasizes macroscopic fundamental diagrams (MFD) for urban traffic modeling, analysis of Germany's 9-Euro-Ticket and Deutschlandticket policies, and tradable mobility credit schemes. Recent work explores cycling infrastructure in metropolises and accessibility-based road pricing mechanisms. Key Awards : Recipient of the DFG Emmy Noether Research Group Fellowship (2023). Grants and Projects: Founded the Emmy Noether Research Group focused on mobility policy innovation. Active in large-scale empirical studies like the Mobilität. Leben panel tracking mobility behavior across Germany. Labs/Teams: Leads the Emmy Noether Research Group at TUM, collaborating on mobility policy design and evaluation tools.

Mohammad Razaur Rahman Shaonمشاهده پروفایل

پژوهشگر

• Transportation Engineering
• Traffic Safety
• Crash Data Analysis
• +۴ مورد دیگر

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.

• Mechatronics
• Signal Processing
• Control Systems
• +۷ مورد دیگر

Jonas Sjöberg is a Full Professor of Mechatronics at Chalmers University of Technology, where he leads the Mechatronic research group in the College of Engineering. His research spans multiple aspects of mechatronic systems with a strong focus on automotive applications. Sjöberg holds leadership roles in numerous research projects related to autonomous vehicles, vehicle control systems, and transportation safety. His research interests encompass a broad spectrum of mechatronics applications, with particular emphasis on model-based methods, signal processing, control systems, system identification, and optimization for design and product development of mechatronic systems. Sjöberg's work bridges theoretical control engineering with practical automotive applications, especially in the domains of Automotive Active Safety and Hybrid Electric Vehicles. Analysis of Sjöberg's recent publications reveals a strong research trajectory focused on autonomous vehicle technologies, with particular attention to vehicle dynamics control, intersection safety, road surface condition estimation, and optimization of vehicle maneuvers. His work demonstrates a consistent approach of applying advanced control theory to solve real-world transportation challenges, with increasing emphasis on machine learning techniques integrated with traditional control systems. Sjöberg actively supervises research and education at both undergraduate and graduate levels while leading multiple research projects funded by VINNOVA, the European Commission, and other organizations. His research group collaborates extensively with both academic institutions and industry partners in the automotive sector. His laboratory work focuses on mechatronic systems development, particularly for automotive applications including autonomous bicycles, bus docking systems, and vehicle control algorithms. The research group maintains strong connections with the automotive industry, particularly in Sweden's robust vehicle technology ecosystem.

Stephan Keuchelمشاهده پروفایل

استاد

• Transport Economics
• Transport Policy
• Environmental Management
• +۳ مورد دیگر

Prof. Dr. Stephan Keuchel is a faculty member at the Westphalian University within the Faculty of Engineering and Natural Sciences , specifically in the Department of Economics, especially Transport Economics and Transport Policy . He teaches courses such as Volkswirtschaftslehre , Transport Policy , and Statistics in Mobility and Logistics at both Bachelor's and Master's levels, while also supervising final theses. Research Focus: Transport economics, environmental management, digitalization of transport, empirical transport research, discrete choice modeling His research projects include spatial effects of carbon pricing on transport equity (2024), ticket inspection impacts, and digitalization of transport systems. He leads the Institute for Mobility and Transport (MoVe) and collaborates on EU Commission initiatives, Eurostat data, and German Federal Ministry of Transport projects. His work emphasizes policy relevance, sustainability, and empirical analysis.

Martin Raubalمشاهده پروفایل

استاد

• Spatial Decision-Making
• Mobile Geographic Information Systems (GIS)
• Location-Based Services (LBS)
• +۷ مورد دیگر

Prof. Dr. Martin Raubal is a Full Professor at the Institute for Cartography and Geoinformation, Department of Civil, Environmental and Geomatic Engineering, ETH Zurich. He leads research on spatial decision-making, mobile GIS, and location-based services, with applications in transportation, energy, and aviation. His work integrates cognitive engineering and eye-tracking to analyze human mobility and interaction with geospatial systems. Doctorate in Geoinformation (with distinction), Vienna University of Technology (2001) MS in Spatial Information Science and Engineering, University of Maine (1997) Dipl.-Ing. in Surveying Engineering and Geoinformation, Vienna University of Technology (1998) His research focuses on spatiotemporal human mobility, cognitive models for GIS, and sustainable urban systems. Key projects include the Digital Underground initiative at the Singapore-ETH Centre and the Empirical Use and Impact Analysis of Mobility-as-a-Service (EIM). Awards include the UV-Helava Prize and multiple best paper recognitions. Recent publications emphasize 3D spatial analysis, AI-driven geospatial tools, and causal inference in mobility modeling. Collaborations span institutions like Lufthansa Systems, SBB, and ETH-IVT. His lab investigates applications such as electric vehicle charging networks, bikeability indexes, and augmented reality in transportation planning.

• Human-Computer Interaction (HCI)
• Virtual/Augmented Reality (VR/AR)
• User Experience (UX)
• +۶ مورد دیگر

Vassilis Charisis is a Professor of Creative Technologies and Associate Dean of Research and Innovation at the School of Arts and Creative Industries, Edinburgh Napier University . He holds a PhD and MPhil in Human-Computer Interaction (HCI) and VR/AR from the University of Glasgow and serves as a Visiting Professor at the University of Nicosia (Cyprus) and University of West Attica (Greece). Former roles include Professor of HCI and VR/AR at Glasgow Caledonian University Founder and Director of VRS Lab and VRDS Lab Director of Visual, Affective and Pervasive Systems (VAPS) research group His research spans Human-Computer Interaction , Virtual/Augmented Reality , User Experience (UX) , Artificial Intelligence , and Medical Simulation . With over £12.5M in research funding and 100+ publications, he focuses on: Automotive Engineering : AR/VR interfaces, collision avoidance systems Healthcare Applications : Dialysis training, telemedicine Consumer Electronics : UX optimization, gesture recognition Recent publications highlight trends in XR for geriatric rehabilitation , AI-driven AR HUD systems , and IoT security frameworks . His work integrates AI, immersive environments , and user-centered design across domains. Scientific Awards International awards for automotive design (FIAT, Opel) Professional memberships: MIET, FBCS, FRSA, FDSRI, SFHEA He advises on PhD supervision (e.g., Kweku Bram Larbi) and contributes to advisory committees like the Scottish Arts and Humanities Alliance . His projects include: VR Dialysis Training Systems (Kidney Research UK, NHS) noPILLLS in the Water (EU FP7, £7.5M) Collision Avoidance AR Interfaces for emergency vehicles

Tatiana Iretskaiaمشاهده پروفایل

پژوهشگر

• Sustainable Tourism
• Protected Areas Management
• Environmental Conservation
• +۳ مورد دیگر

Tatiana Iretskaia is a doctoral candidate in Sustainable Tourism and Protected Areas Management (STPAM) at Michigan State University's Department of Community Sustainability (College of Agriculture & Natural Resources). She holds multiple master’s degrees and 15 years of professional experience in field biology, cross-cultural communication, and international tourism. Her research focuses on transformative travel experiences’ long-term impacts, blending qualitative storytelling with global case studies. Education highlights include prior studies in Russia, France, and the UK. She actively teaches courses like ISB 208L (Applications of Biological Sciences for non-majors) and co-leads study abroad programs in South Africa/Mozambique (Marine Ecology & Conservation). Notable teaching accolades include the 2024 Excellence in Graduate Student Teaching Award and participation in MSU’s FAST/IIT teaching development cohorts. Research contributions include peer-reviewed work on pandemic-era park messaging, ORV user preferences, and conservation tourism frameworks. Her work bridges environmental science, cultural anthropology, and policy design. A polyglot (fluent in four languages), she coordinates international collaborations using Portuguese, Russian, French, and English. Award-winning educator and researcher, she has received prestigious fellowships including the C.S. Mott Pre-Doctoral Award and FLAS Fellowship. Her fieldwork spans 80+ countries, emphasizing experiential learning through immersive cultural exchanges.

• Transport Policy
• Road Safety
• Traffic Psychology
• +۵ مورد دیگر

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.

Zuduo Zhengمشاهده پروفایل

استاد

• Traffic Flow Theory and Modelling
• Intelligent Mobility Technologies
• Connected and Automated Vehicles (CAVs)
• +۵ مورد دیگر

Professor Zuduo Zheng is a faculty member at the University of Queensland, holding the position of Professor & Deputy TMR TAP Chair in the School of Civil Engineering. His research focuses on traffic flow theory, modeling, simulation, and optimization, particularly in the context of connected and automated vehicles (CAVs), traffic safety, and sustainable infrastructure systems for smart cities and major events like the 2032 Olympic and Paralympic Games. He earned his Doctor of Philosophy from Arizona State University and has served as a DECRA Research Fellow. Currently, he is a member of the Australian Research Council's College of Experts and ranks among the Top 2% of Scientists in Logistics and Transportation (Scopus & Stanford University). His work has led to prestigious awards and editorial roles in journals like Transportation Research Part B and IEEE Transactions on Intelligent Transportation Systems . Research interests include traffic flow dynamics, emerging mobility technologies, strategic transport planning, advanced data analysis techniques, and meta-research methodologies. His lab, the Connected and Automated Vehicle Driving Simulation Lab, utilizes cutting-edge tools like VR simulators and SUMO integration to explore mixed traffic scenarios and safety challenges. Key grants include projects on eco-driving strategies for CAVs, real-time traffic signal systems, and infrastructure design for future mobility. He has supervised numerous PhD and Master’s students, contributing to studies on CAV integration, traffic simulation, and policy analysis. His publications address topics such as road user charging theories, reinforcement learning for eco-driving, and paratransit system improvements. The lab’s facilities, including a mixed reality mobility testbed, support research into transitioning to CAVs and enhancing urban resilience.