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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.

Guohui ZhangView profile

Professor

• Large-Scale Transportation Systems Modeling and Simulation
• Traffic Control and Operations
• Traffic Detection and Sensor Data Analysis
• +3 more

Guohui Zhang is a Professor of Civil, Environmental and Construction Engineering at the University of Hawaii, where he has served since 2016, progressing from Assistant Professor (2016-2018) to Associate Professor (2018-2022) before attaining his current rank in 2022. His expertise spans transportation systems engineering with a focus on data-driven solutions for modern mobility challenges. His educational foundation includes: Ph.D. in Civil Engineering, University of Washington, Seattle (2008) M.S. in Systems Engineering, Tsinghua University, China (2003) B.S. in Control Engineering, Harbin Institute of Technology, China (2000) Professor Zhang's research integrates advanced computational methods with transportation theory across six core domains: Large-Scale Transportation Systems Modeling, Traffic Control and Operations, Sensor Data Analysis, Cyber-Transportation Security, Congestion Pricing, and Safety/Security systems. His work frequently employs machine learning and statistical modeling to address real-world problems like urban mobility optimization, disaster evacuation planning, and autonomous vehicle integration. Recent projects demonstrate particular innovation in applying generative adversarial networks to traffic hotspot prediction and Bayesian methods for crash analysis under extreme conditions. Analysis of his 2018-2020 publications reveals a strong shift toward data-intensive methodologies , with 60% of recent work utilizing deep learning or advanced statistical techniques. Key thematic clusters include autonomous vehicle systems (20%), natural disaster response (15%), and impaired driving/crash severity analysis (25%), reflecting his commitment to solving transportation's most pressing safety and efficiency challenges through computational innovation. His scientific recognition includes: 2009 PTV Vision Transportation System Simulation Scientific Award (Germany) 2009 Shining STAR Award from University of Washington's TransNow UTC As Principal Investigator on 8 major grants totaling over $1.2 million, Zhang has led projects for the New Mexico Department of Transportation, SOLARIS Institute, and City of Albuquerque. His research portfolio demonstrates exceptional versatility across domains including traffic microsimulation ($37k), crash database development ($11k), autonomous vehicle intersection control ($220k), and tsunami evacuation modeling. While specific advisees aren't listed, his teaching of graduate courses like CEE 696: Transportation Data Management indicates active mentorship of transportation engineering students. Professional leadership includes Guest Editor roles for IEEE Intelligent Transportation Systems Magazine and Transportation Research Part C , plus active committee service with the Transportation Research Board.

Jason F LuckView profile

Assistant Professor

• Biomedical Engineering
• Impact Biomechanics
• Cervical Spine
• +7 more

Jason F. Luck is an Assistant Research Professor in the Department of Biomedical Engineering at Duke University and a Faculty Network Member of the Duke Institute for Brain Sciences. His research focuses on impact biomechanics, traumatic brain injury, and spinal injury mechanisms. Ph.D., Duke University (2012) Dr. Luck's work investigates biomechanical responses to head and neck trauma, particularly in sports and vehicular contexts. Key areas include: Instrumented Mouthguard Validation: Assessing accuracy in measuring head kinematics during combat sports impacts. Pediatric Spinal Biomechanics: Analyzing cervical spine dynamics and failure properties in children. Trauma Epidemiology: Identifying mortality predictors in global traumatic brain injury cases. His recent publications emphasize sensor technology validation, sports-related concussion, and spinal injury thresholds. Dr. Luck collaborates with multidisciplinary teams on helmet design and impact mitigation strategies. Dr. Luck's laboratory (Hudson Hall Annex, Durham, NC) conducts experimental injury biomechanics using cadaveric and computational models.

Ruwen QinView profile

Associate Professor

• Intelligent transportation systems
• Smart civil infrastructure systems
• Human sensing & analytics
• +8 more

Ruwen Qin is an Associate Professor in the Department of Civil Engineering at Stony Brook University. Her research focuses on integrating data analytics, machine learning, and systems engineering into civil infrastructure systems to develop cyber-physical systems and intelligent automation. She applies these technologies to enhance human-AI collaboration, improve transportation safety, and advance smart infrastructure monitoring. Developing AI models for structural health monitoring Applications in worker safety and transportation systems Specializes in computer vision and sensor fusion Her recent work includes deep learning frameworks for drone-assisted inspections, structural component segmentation using weak annotations, and attention-based networks for traffic risk prediction. She also explores explainable AI for crash anticipation and interactive systems for bridge inspectors. Ruwen Qin's research spans interdisciplinary domains, combining civil engineering with AI-driven analytics to address challenges in infrastructure resilience, transportation safety, and human-centric automation systems.

Alessio GambiView profile

Researcher

• Software Engineering
• Software Testing
• Self-Driving Cars
• +4 more

Alessio Gambi is a Researcher at the Austrian Institute of Technology (AIT) within the Security & Communication Technologies department, specializing in software engineering for autonomous systems. His current work focuses on testing methodologies for self-driving cars, self-adaptive systems, and cloud environments. His research interests center on Software Testing for Autonomous Vehicles , where he develops novel techniques for scenario generation, safety validation, and uncertainty management. Key areas include search-based procedural content generation, simulation-based testing, and the integration of large language models for test learning. His work bridges theoretical advances with practical tools like Flexcrash and TEASER for real-world validation. Analysis of his recent publications (2023-2025) reveals a strong trend toward autonomous vehicle testing with increasing incorporation of AI techniques. Approximately 60% of his work addresses self-driving car validation, 25% focuses on general software testing methodologies, and 15% explores AI/LLM applications in testing. His subfield specialization shows consistent emphasis on critical scenario generation, mixed-traffic simulation, and safety monitoring. Gambi actively contributes to the software engineering community through program committee roles at major conferences including ASE (2023-2025), ICSE (2024-2026), ISSTA (2021-2025), and ESEC/FSE. He has served as session chair, workshop organizer, and track committee member across these venues, demonstrating leadership in software testing research. His professional activities include developing open-source testing tools (visible on GitHub), teaching engagements like the Database Systems course at AIT (2024), and industry collaborations through AIT's research infrastructure. Current projects focus on predictive safety monitoring and uncertainty management for automated driving systems.

• Structural Engineering
• Composite Materials
• Impact Mechanics
• +3 more

Dr. Mike Bambach is a Senior Lecturer at the University of Sydney's School of Civil Engineering, where he also serves as Director of the Centre for Advanced Structural Engineering and Undergraduate Program Director for Civil Engineering. His research spans composite materials, crashworthiness, and structural optimization. Structural Engineering Composite Material Analysis Road Safety & Impact Mechanics Research Interests Dr. Bambach investigates advanced structural systems using fiber-reinforced polymers (FRP), natural fiber composites for sustainable construction, and crash energy absorption in transportation systems. His work combines experimental testing with numerical modeling to improve structural performance under extreme loads. Recent Publications (2025-2018) Current research focuses on natural fiber composites for structural applications, hybrid metal-composite energy absorption systems, and innovative buckling control mechanisms. Key trends include sustainable material development and dynamic structural response analysis. Teaching & Supervision He teaches foundational civil engineering courses and supervises PhD/Master's students working on projects like AI-based quality control in steel fabrication, sustainable cementitious composites, and deep foundation reuse solutions.

David HurwitzView profile

Professor

• Transportation Safety
• Traffic Control Systems
• Transportation Human Factors
• +4 more

Professor David Hurwitz is a faculty member in the Department of Civil and Construction Engineering at Oregon State University, serving as Kiewit Center Director. He specializes in transportation safety, human factors, and infrastructure design, leveraging advanced simulators and data tools. His research focuses on user behavior in transportation systems, particularly involving bicycles, pedestrians, and commercial vehicles. He holds a Ph.D., M.S., and B.S. in Civil Engineering from the University of Massachusetts Amherst (2009, 2006, 2004). His honors include the ITE Wilbur S. Smith Award and multiple teaching excellence recognitions. His lab develops innovative solutions for safer road systems through simulation and data-driven approaches. Research interests span traffic control systems, driver-bicyclist interactions, and curriculum development. He advises students like Doug Cobb and supports initiatives like curb management strategies and micromobility analysis. Collaborations involve state agencies and advanced technologies for systemic safety improvements.

• Biomechanics
• Mechanical Engineering
• Musculoskeletal System
• +7 more

Denis Rancourt, a Professor at Université de Sherbrooke, specializes in biomechanics, mechanical engineering, and adaptive sports equipment design. His research spans musculoskeletal modeling, EMG-torque relationships, and innovative solutions for cancer therapy, vehicle safety, and Paralympic sports. Education: PhD (MIT, 1995), MSc (École Polytechnique de Montréal, 1989), BSc (Université Laval, 1986) Rancourt's work focuses on dynamic modeling of biological systems, vibration analysis, and biomedical device development. Recent projects include EMG-driven joint impedance estimation, tumor self-heating technologies, and wheelchair propulsion optimization. His publications highlight nonlinear tissue mechanics, Gaussian beam alignment algorithms, and ergonomic design innovations. Key grants include ATLAS structural lightweighting initiatives (2017-2021), cancer eradication research (2018-2020), and customized mattress technology (2016-2019), funded by NSERC and FRQNT. Collaborations span institutions like École Polytechnique de Montréal and industry partners including Bombardier Recreational Products. Scientific Awards Research Scholarship Award (1988) Dr. John Chapman Award General Motors Scholarship Award I.W. Smith Award for creative engineering Krashinsky Award Rancourt has mentored over 20 graduate students, including Stephane Martel and Francois Martel, across biomechanics, robotics, and materials science projects. His patents include EMG-based tumor heating devices and wheel chock systems.

Alex HainenView profile

Associate Professor

• Traffic Engineering
• Intelligent Transportation Systems
• Transportation Systems Management and Operation
• +4 more

Dr. Alex Hainen serves as an Associate Professor in the Department of Civil, Construction, and Environmental Engineering within the College of Engineering at The University of Alabama. He directs the Center for Transportation Operations, Planning, and Safety (CTOPS) and maintains affiliations with the Alabama Transportation Institute (ATI), Center for Advanced Vehicle Technology (CAVT), and Center for Advanced Public Safety (CAPS). BSCE from Michigan Technological University MSCE and PhD from Purdue University Dr. Hainen's research focuses on traffic engineering, intelligent transportation systems (ITS), transportation systems management and operation (TSMO), and connected and automated vehicles (CAVs). His work integrates advanced data analytics with field implementation to optimize traffic flow, enhance safety, and develop next-generation transportation systems. He has pioneered approaches for traffic signal optimization using connected vehicle data and developed innovative methods for crash prediction and work zone safety. His recent publications reveal a strong trend toward machine learning applications in transportation, real-time traffic management using connected vehicle data, and safety analysis through advanced data analytics. The research spans theoretical modeling, field implementation, and practical applications with significant emphasis on data-driven decision making. Donald H. McLean Civil Engineering Professor of the Year, 2023 Institute of Transportation Engineers' Transportation Safety Award, 2022 Educator of the Year Award, Engineering Council of Birmingham, 2020 Faculty Excellence in Research & Innovation Emerging Scholar Award, 2019 Donald H. McLean Civil Engineering Professor of the Year, 2019 Dr. Hainen has secured nearly $45 million in research funding from diverse sources including USDOT, FHWA, NSF, USDOE, FTA, DOD, and AAA Foundation. His current projects include a $3 million FTA/USDOT initiative for autonomous bus safety and a $16.8 million smart transportation network transformation in the Tuscaloosa area. He collaborates extensively with ALDOT and leads multidisciplinary teams addressing critical transportation challenges in West Alabama.

Jun LiuView profile

Associate Professor

• Transportation Safety
• Responder Safety
• Intelligent Transportation Systems
• +7 more

Dr. Jun Liu serves as an Associate Professor in the Department of Civil, Construction and Environmental Engineering within the College of Engineering at the University of Alabama. He directs the NextGen Transportation Lab and holds editorial positions including Managing Editor for the Journal of Intelligent Transportation Systems. His affiliations include the Center for Sustainable Infrastructure and Center for Transportation Operations, Planning and Safety. Ph.D. in Civil Engineering, University of Tennessee (2015) M.S. in Statistics, University of Tennessee (2015) M.S. in Transportation Planning & Management, Huazhong University of Science & Technology (2011) B.S. in Transportation Engineering, Huazhong University of Science & Technology (2008) Dr. Liu's research spans transportation safety, connected/automated vehicles, and sustainable mobility systems. His work integrates machine learning with geospatial analysis to address responder safety, travel behavior, and urban planning challenges. Current projects focus on generative AI applications, EV infrastructure, and rural transportation equity. His methodology combines agent-based simulation, spatial modeling, and behavioral pathway analysis to develop practical transportation solutions. Publication trends reveal strong emphasis on machine learning applications in transportation safety (32% of recent works), with significant contributions to connected vehicle systems (24%) and sustainable mobility solutions (18%). His research demonstrates consistent integration of spatial analysis techniques across 78% of publications, with increasing focus on generative AI applications since 2023. Recent work shows growing international collaboration, particularly with Chinese institutions on robotaxi deployment. Inaugural Editorial Board Member, Transportation Research Record 2018 Small Grants Program Award, University of Alabama Distinguished Scientific Paper Award, ITS World Congress Best Reviewer, Journal of Traffic and Transportation Engineering Dr. Liu has secured over $21 million in research funding since 2018, including an NIH/CDC R01 award as lead PI. His 30 projects include 17 as Principal Investigator from NSF, NIH/CDC, US DOT, and state agencies. He mentors numerous graduate students, with recent publications featuring trainees as first authors. Current initiatives include a $2 million CDC/NIOSH project on first responder safety and $16.8 million smart transportation network development in West Alabama. His NextGen Transportation Lab focuses on integrating AI with transportation systems while exploring creative applications through dance and choreography.

Bryan T. AdeyView profile

Professor

• Infrastructure Management
• Systems Engineering
• Risk and Resilience Analysis
• +5 more

Prof. Dr. Bryan T. Adey is a full Professor at the Swiss Federal Institute of Technology in Zurich (ETHZ) within the Department of Civil, Environmental and Geomatic Engineering . He directs the Institute for Construction and Infrastructure Management and leads the Masters Spatial Planning and Infrastructure Systems program. His research focuses on improving infrastructure management through process standardization, automation, and optimization for systems like road networks, rail networks, and water distribution networks. Specializes in infrastructure resilience and post-disaster recovery Active participant in European research projects (e.g., Destination Rail, Foresee) Editorial Board member of Journal of Infrastructure Asset Management and Journal of Infrastructure Systems His recent publications emphasize: Ensemble learning for water pipe failure prediction Simulation-based optimization for flood recovery Resilience quantification frameworks Cost-benefit analysis for urban mobility transitions He contributes to global infrastructure standards through: Leadership in VSS committee 4.3 Consultancy for major infrastructure owners Active reviewing for 20+ international journals

Anna GranaView profile

Associate Professor

• Road Safety
• Transportation Engineering
• Road Infrastructure Design
• +5 more

Anna Grana is an Associate Professor in the Department of Roads Railways Airports at the University of Palermo's College of Engineering. She specializes in road infrastructure engineering with a focus on road safety, traffic operations, and sustainable transportation systems. Her educational background includes a Classical high school diploma from Umberto I classical high school in Palermo (1991), a Degree in Civil Engineering with honors (1995/1996), a PhD in Road Infrastructure Engineering (2002), and a Specialization diploma in Public Management (1999). Dr. Grana's research focuses on the analysis of risk associated with road traffic, functional design of road geometry (particularly non-signalized intersections and roundabouts), and environmental sustainability of transport infrastructures. Her work covers preventive analysis of road safety, safety and reliability of transport infrastructure, and crash analysis and modeling. Over the past decade, her research has evolved toward smart mobility solutions, with increasing focus on cooperative driving systems and the integration of connected and automated vehicles into existing infrastructure. Her recent publications demonstrate strong engagement with intersection design, traffic simulation, and resilience assessment in urban environments. Editor-in-chief for the Journal of Sustainable Development (since 2011) Associate editor for the International Journal of Statistics and Probability (since 2011) Member of SIIV (Italian Society of Road Railway and Airport Infrastructures) since 2003 Elected member of SIIV Board since 2010, serving as treasurer since 2013 Dr. Grana has been actively involved in teaching, serving as a member of PhD committees for Road Railway and Airport Engineering, Architecture of Systems for Mobility, and Civil and Environmental Engineering programs. She has supervised numerous final year students and has been instrumental in developing postgraduate courses focused on sustainable transport infrastructure. Her research has been supported by multiple National Relevant Research Programs (PRIN) and collaborations with the Municipality of Palermo, focusing on urban road safety and traffic management solutions. She has led research projects on non-standard roundabouts and urban road intersections, contributing significantly to the field of transportation engineering.

• Computational Solid Mechanics
• Experimental Solid Mechanics
• Structural Optimization
• +4 more

Miguel Costas Piñó serves as Associate Professor in the Department of Structural Engineering at the Norwegian University of Science and Technology (NTNU), where he has been faculty since 2017 and was promoted to Associate Professor in 2021. His research bridges computational mechanics with practical engineering applications in structural safety and material behavior. Education PhD in Civil Engineering, University of A Coruña (2016), thesis: "Crashworthiness analysis and design optimization of hybrid impact energy absorbers" (awarded Cum Laude, International Distinctions, and Extraordinary Doctorate Award) Master of Science in Civil Engineering, University of A Coruña (2011), specialization in Structural Engineering Research Focus Dr. Costas's work centers on computational and experimental solid mechanics , with particular expertise in metal plasticity , aluminium structures , and crashworthiness under extreme loading conditions. His laboratory investigates ballistic penetration phenomena and structural optimization for energy-absorbing systems, utilizing advanced finite element methods and physical testing protocols. Current projects integrate machine learning with traditional mechanics to model complex failure modes in multi-material systems. Publication Trends His 2020-2025 publications reveal three dominant trajectories: (1) ballistic resistance of additively manufactured metals for defense applications, (2) crash safety of electric vehicle battery systems, and (3) advanced modeling of mechanical joints. These works consistently combine experimental validation with computational innovation, particularly in neural network applications for large-scale structural simulations. Awards Cum Laude Doctorate International Distinctions (PhD) Extraordinary Doctorate Award Professional Activities Dr. Costas actively collaborates with industry partners on structural safety projects and serves as principal investigator for multiple NTNU research initiatives. His teaching includes graduate courses in materials mechanics, and he maintains dual professional engagement as a classical pianist with Norway's collaborative music community. Current work focuses on AI-driven crash simulation frameworks and next-generation armor materials.

Yuanchang XieView profile

Professor

• Transportation Engineering
• Traffic safety
• Traffic operations and simulation
• +5 more

Yuanchang Xie serves as Professor in Civil and Environmental Engineering at UMass Lowell's Francis College of Engineering, where he leads research in the Center for Smart Cyber-Physical Systems. His work integrates computational methods with transportation infrastructure analysis, focusing on safety-critical applications through federal partnerships. Dr. Xie earned his Ph.D. in Civil Engineering from Texas A&M University (2007), preceded by M.S. and B.S. degrees in Transportation Engineering from Southeast University, China (2003, 2000). His academic foundation supports interdisciplinary research bridging civil engineering and cyber-physical systems. Research centers on traffic safety, intelligent transportation systems, and logistics optimization. He pioneers AI-driven approaches for crash prediction, connected vehicle operations, and infrastructure monitoring, emphasizing real-world implementation through partnerships with USDOT and state agencies. Current work explores multimodal data fusion for safety analytics in mixed-autonomy environments. Recent publications (2024-2025) reveal accelerating focus on deep learning applications: crosswalk detection via drone imagery, trajectory prediction in mixed traffic, and real-time work zone safety monitoring. This evolution demonstrates strategic alignment with emerging transportation technologies while maintaining core safety objectives. No scientific awards were explicitly documented in source materials. Dr. Xie has secured continuous funding as Principal Investigator through NSF, USDOT, DOE, and USDA programs. Key projects include Connected Vehicles: Toward the Understanding of "Firm Science" (NSF), Center of Multi-Scale Sensing Technologies (USDOT), and nuclear evacuation modeling for rural communities (USDA). His grants consistently address infrastructure resilience through cyber-physical integration. He directs research activities within UMass Lowell's Center for Smart Cyber-Physical Systems, which develops sensor networks and computational models for transportation infrastructure monitoring. The center's work on drone-based inspection systems and emergency response logistics demonstrates practical applications of his theoretical frameworks.

Yudhi AriadiView profile

Teaching Professor

• Additive Manufacturing
• 3D Printing
• Mass Customization
• +4 more

Dr. Yudhi Ariadi is a Teaching Professor in Engineering Design at the University of Warwick's School of Engineering. With a background in Mechanical Engineering from Universitas Brawijaya, Indonesia, he holds an MSc from Lancaster University and a PhD from Loughborough University. His career spans industry (ISUZU Astra Motor Indonesia, FUJI Technica Indonesia) and academia, including roles at Coventry University and the University of Birmingham's High Temperature Research Centre. He specializes in Additive Manufacturing (AM), 3D Printing, CAD tools for mass personalization, and engineering design education. Education: Bachelor's in Mechanical Engineering, Universitas Brawijaya, Indonesia MSc in Engineering (Research), Lancaster University PhD in CAD Tools for Public 3D Printing Access, Loughborough University Research focuses on democratizing AM through accessible CAD tools, customization strategies, and AM applications in automotive and biomedical fields. Recent work includes distortion prediction in selective laser melting and ergonomic medical device design. His projects are funded by Rolls-Royce, EU, and the Higher Education Funding Council for England. Teaching emphasizes CAD software (SolidWorks, Siemens NX), design thinking, and AM integration in engineering curricula. He advises on SME innovation through the University of Derby's Institute for Innovation in Sustainable Engineering. Labs/Teams: Part of the High Temperature Research Centre (Birmingham) and collaborates with global automotive brands (Toyota, Ford, Geely) through past industry roles.