Professor Damian Damianov holds the Chair in Finance at Durham University Business School. His research examines asset pricing anomalies, housing market dynamics, and household financial behavior, with particular focus on boom-bust cycles in real estate and cryptocurrency markets. Methodologies combine econometric analysis with behavioral experiments to study price formation mechanisms. Recent work investigates housing affordability policies, wealth accumulation pathways, and cross-market contagion effects. His laboratory develops novel experimental designs to test auction mechanisms and fundraising strategies for charitable organizations. Current projects analyze: (1) Property tax compliance in shared occupancy arrangements; (2) Uncertainty transmission across cryptocurrency markets; (3) Lifecycle models of household wealth management.
Baishakhi Ray is an Associate Professor at Columbia University, specializing in improving software reliability and developers' productivity for both traditional and AI-driven systems. She leads the ARiSE Lab, focusing on interdisciplinary research at the intersection of software engineering and artificial intelligence. Her research interests include software testing for AI systems, adversarial robustness, automated testing of autonomous systems, and leveraging AI techniques such as neural networks for dynamic analysis and fuzzing. Notable projects include DeepTest for autonomous car testing and NEUZZ for efficient fuzzing. Awards: VMware Early Career Faculty Award (2020), IBM Faculty Award (2019), NSF CAREER Award (2019), and multiple best paper awards including EAPLS FASE (2020) and ACM Distinguished Papers (FSE 2017, MSR 2017). Grants: NSF CAREER grant (2019-2024) for deep learning testing, NSF grants for workshops and security bug detection, and collaborative grants on persistent memory and SSL/TLS implementations. Her recent work emphasizes advancing code generation with large language models (LLMs), evaluating model robustness under data contamination, and developing tools like CodeSense and CrashFixer for code semantics and kernel debugging. The ARiSE Lab also explores causal performance debugging and transfer learning for configurable systems.
Abhik Roychoudhury is a Provost's Chair Professor of Computer Science at the National University of Singapore (NUS), leading the Trustworthy and Secure Software (TSS) research group since 2001. His work focuses on automated program repair, software testing, security, and agentic AI. He is a Senior Advisor at SonarSource following the acquisition of his startup AutoCodeRover. He holds an ACM Fellowship and has received the ICSE Most Influential Paper Award for program repair research. Education: M.S. and Ph.D. in Computer Science from State University of New York at Stony Brook (1997-2000). Research interests include program analysis, software security, and AI-driven software engineering. His team has pioneered techniques like SemFix and Angelix for program repair, and AFLNet for protocol fuzzing. He has served as editor-in-chief of ACM TOSEM and conference chair for ICSE and FSE. Awards include the NUS Outstanding Graduate Mentor Award (inaugural recipient) and IEEE New Directions Award. His work bridges academia and industry, with contributions to projects like the DesCartes initiative for critical urban systems. Key collaborations include Microsoft on API repair and IBM on AI research centers. His recent focus includes agentic AI for software engineering, reflected in AutoCodeRover's acquisition by SonarSource.
Curtis R. Taylor is a Professor of Economics at Duke University, affiliated with the Department of Economics in the Trinity College of Arts & Sciences. He holds a PhD from Yale University (1992) and a BA from the University of Washington (1986). His research focuses on microeconomic theory, including industrial organization, political economy, contract design, and consumer privacy. Taylor's work has been supported by grants from the National Science Foundation and U.S. Department of Agriculture, among others. Key research areas include optimal project management under uncertainty, fraud dynamics in reputation systems, and the economics of privacy in competitive markets. His notable contributions include studies on contractual incentives for multistage projects and the welfare implications of privacy regulation. Education: PhD in Economics, Yale University, 1992 BA in Economics, University of Washington, 1986 Awards: Sloan Research Fellowship in Economics (1996) University of Washington Distinguished Alumnus Award (2011) Professor Taylor has served as Director of Graduate Studies in Economics (2011–2018) and has held editorial roles at the RAND Journal of Economics and Journal of Industrial Economics . His teaching includes advanced microeconomics and graduate-level economic analysis courses. Recent grants include NSF-funded projects on dynamic screening contracts and privacy in competitive markets. His research frequently intersects with policy, examining topics like agricultural supply chains and electoral bias.
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.
Dr. Khaled Sennah is a Professor in the Department of Civil Engineering at Toronto Metropolitan University, specializing in bridge design, advanced composite materials, and structural dynamics. He holds academic ranks including Fellow of the Canadian Academy of Engineering (CAE) and Fellow of the Engineering Institute of Canada (EIC). His research focuses on sustainable infrastructure solutions, particularly using fiber-reinforced polymers (GFRP) in bridge barriers and ultra-high-performance concrete (UHPC). Educated at Alexandria University (BSc, 1985; MASc, 1990) and the University of Windsor (PhD, 1998), Sennah has collaborated extensively with the Ontario Ministry of Transportation, pioneering corrosion-resistant GFRP-reinforced concrete barriers. His team’s work led to the development of standardized safety barriers widely adopted in Canada. His research interests span bridge design and rehabilitation, structural dynamics, and sustainable materials. Notable contributions include the design of a crash-tested TL-5 barrier and advancements in UHPC and FRP composites. He chairs international bridge conferences and contributes to Canadian highway bridge design codes (CSA S6). Labs/Groups: Structural Lab and Advanced Sustainable Construction Materials Lab Professional Roles: Associate Editor of the Canadian Journal of Civil Engineering; member of CSA S6 subcommittees on barriers, FRP concrete, and design codes. Recipient of prestigious awards including the IAAM Scientist Medal (2023), TFA Career Achievement Award (2023), and the A.B. Sanderson Award (2013). His work bridges academia and industry, emphasizing practical applications of innovative materials.
Associate Professor Paul Roberts is affiliated with the School of Psychological Science at the University of Western Australia, where he serves as Deputy Director of the Western Australian Centre for Road Safety Research. With over 25 years of academic experience, his expertise spans road safety, driver fatigue, distraction, and error. He holds a PhD in experimental psychology from UWA, focusing on implicit learning and memory. Roberts advises organizations globally on fatigue management and co-organizes the International Conference on Fatigue Management in Transport. He is a recognized expert on digital billboard safety impacts, leading numerous research and consulting projects. Education: PhD in Experimental Psychology, University of Western Australia. Research interests include human factors in road safety, driver behavior analysis, and infrastructure design. His work addresses real-world challenges like distracted driving, fatigue management, and infrastructure safety evaluations. Grants and projects include leadership in the ARC Training Centre for Automated Vehicles in Rural and Remote Regions, evaluations of the Black Spot Program, and studies on turbo roundabouts and diverging diamond interchanges. He collaborates with Main Roads Western Australia and industry partners to advance road safety solutions. Labs/Teams: Western Australian Centre for Road Safety Research, Planning and Transport Research Centre.
Angelo D'Elia is a Research Fellow at the Monash University Accident Research Centre (MUARC) and a Statistical Consultant at the Victorian Injury Surveillance Unit (VISU). He holds a PhD in Public Health and Honours degrees in Mathematical Statistics and Mechanical Engineering. His expertise spans road safety evaluation, vehicle safety research, data linkage, and injury prevention. He leads and contributes to over 40 research projects, focusing on crash data analysis, countermeasure effectiveness (e.g., speed enforcement, airbags), and trauma trend modeling. D'Elia has authored 68+ publications and received awards for his work, including the 2024 Peter Vulcan Best Paper Award. He advises PhD students and collaborates internationally, contributing to policy through expert submissions to government inquiries. Education: Doctor of Philosophy in Public Health Bachelor of Science (Honours) in Mathematical Statistics Bachelor of Engineering (with Honours) in Mechanical Engineering Research Interests: Angelo’s work centers on optimizing administrative data for injury prevention, evaluating road safety programs (e.g., automated enforcement, vehicle safety tech), and developing advanced statistical models. He emphasizes translating data into actionable insights for policy, such as real-time injury tracking systems and baseline trauma models. Articles Trends: Recent work highlights vehicle safety regulations, injury severity scoring via linked data, and pandemic impacts on road safety. His analyses often combine large-scale datasets with time-series modeling to identify trends and inform policy. Awards: Peter Vulcan Best Paper Award (2024) MIRI Award for Best Early Career Paper (2013) Advising & Grants: Accepts PhD students and leads major grants evaluating NSW automated enforcement programs, crash avoidance technologies, and vehicle safety innovations. Collaborates with MUARC teams and external agencies on road trauma reduction initiatives. Labs/Teams: Member of the Injury Analysis and Data team at MUARC and VISU, focusing on statistical methodologies and interdisciplinary road safety solutions.
Adrian SOICA is a Professor at the Department of Automotive and Transport Engineering, Faculty of Mechanical Engineering, Transilvania University of Brașov, Romania. His academic and research activities focus on vehicle dynamics, safety systems, and transportation-related environmental impact, with a particular emphasis on traffic accident reconstruction and emission reduction strategies. Research Focus: Vehicle-Pedestrian Collisions Research Focus: Automotive Composite Materials Research Focus: Traffic Emission Modeling Research Focus: Smart Transportation Systems His publications span accident reconstruction methodologies, composite material design, and sustainable mobility solutions, including studies on seatbelt mechanics, pretensioner systems, and biodiesel efficiency. Recent work explores AI-driven adaptive traffic control (2025) and metaverse integration for autonomous driving (2022). Scientific awards are not explicitly listed in the available data. Contact: Building N, Room NP12, Politehnicii street, no. 1, Brașov, Romania
Baoshan Huang is a Professor in the Department of Civil and Environmental Engineering at the University of Tennessee, where he has served since January 2002. His research focuses on sustainable infrastructural materials, pavement engineering, and geotechnical systems. He leads a robust research program funded by federal and state agencies including the Federal Highway Administration (FHWA), Tennessee Department of Transportation (TDOT), and the U.S. Department of Transportation (USDOT). His educational background includes a PhD from Louisiana State University (2000), and both an MS (1988) and BS (1984) from Tongji University, China. He is a registered professional engineer in Louisiana. Huang’s research interests span infrastructural materials , including asphalt and concrete characterization and multi-scale modeling, pavement engineering covering design, testing, maintenance, and asset management, and geotechnical engineering involving soil improvement and deep foundations. His work emphasizes sustainability through recycling of reclaimed asphalt pavement (RAP), waste tire rubber, and industrial byproducts. The recent publications highlight a strong trend in sustainable pavement materials, with a focus on recycling (RAP, RAS, tire rubber), bio-based modifiers (bio-char), and performance evaluation using advanced rheological and mechanical testing. Many studies integrate statistical modeling for pavement performance and safety analysis, particularly in transportation safety and crash frequency prediction. He has held significant professional service roles, including: Associate Editor, ASCE Journal of Materials in Civil Engineering Chairman, ASCE Bituminous Materials Committee (2010–2012) Steering Member, ASCE Pavement Committee TRB Committee Member (AFK30, AFK40) Faculty Senator, University of Tennessee (2010–2013) Huang has advised numerous graduate students and secured over $6.5 million in research funding. His collaborative work with researchers like X. Shu and Q. Dong reflects an active, team-based research environment. His lab engages in experimental characterization of materials using techniques such as GPC, FTIR, neutron scattering, and discrete element modeling. While no formal awards are listed, his extensive publication record and leadership roles underscore his academic impact.
Ernst Tomasch is a researcher at the Institute for Vehicle Safety (VSI) within Graz University of Technology . His work focuses on vehicle safety systems , crash analysis , and advanced driver assistance systems (ADAS) , with particular emphasis on preventing accidents involving trucks, cyclists, and pedestrians. Recent publications highlight his expertise in Crash cushion and roadside barrier design Cornering ABS for motorcycles ADAS effectiveness for vulnerable road users Child pedestrian safety modeling Heavy goods vehicle safety Simulation-based accident prevention . His research contributes to harmonized pre-crash scenarios and safety protocols for automated driving systems. He collaborates on projects like KISIMO (child pedestrian modeling) and PREVENT (guardrail transitions). Contact: ernst.tomasch@tugraz.at
Dr. Steve Kan is a Professor in the Physics & Astronomy Department at George Mason University and serves as Director of the Center for Collision Safety and Analysis (CCSA). He joined Mason in 2013 after over 20 years at The George Washington University, where he led the National Crash Analysis Center (NCAC). His expertise spans computational solid mechanics, non-linear finite element modeling, and automotive safety research. Dr. Kan pioneered the use of high-performance parallel computing for crash simulations, establishing industry standards. He has secured multi-million-dollar contracts for research in vehicle safety, occupant risk analysis, and highway barrier testing. Education: Ph.D. in Mechanical Engineering, University of Maryland, 1990 Research Focus: Dr. Kan’s work emphasizes vehicle structural analysis, crash compatibility between vehicles, occupant protection systems, and benchmarking computational tools for automotive engineering. His leadership at NCAC and CCSA has enabled advanced modeling techniques and validation protocols critical to the automotive industry. Labs/Teams: Directs the CCSA and previously led NCAC, focusing on translational research between academia and industry. His teams conduct full-scale crash tests, develop safety models, and advise on policy through outreach programs.
José Weissmann is a Professor in the Civil and Environmental Engineering and Construction Management department at the University of Texas at San Antonio (UTSA), affiliated with the Margie and Bill Klesse College of Engineering and Integrated Design. Holding a Ph.D. in Civil Engineering from the University of Texas at Austin and M.S./B.S. degrees from the University of Sao Paulo, he focuses on transportation engineering and infrastructure management. Degrees: Ph.D. (University of Texas at Austin), M.S./B.S. (University of Sao Paulo) Key Research Areas: Transportation engineering, bridge/pavement deterioration modeling, automated vehicle infrastructure, and highway safety analysis. Scientific Awards: ASEE Dow Outstanding New Faculty Award (2000). Recent publications highlight his work on dynamic vehicle allocation in supply chains , bridge deterioration for overweight vehicles , and design criteria for automated vehicles . His contributions extend to Texas-specific infrastructure challenges, including coastal port corridors and rainfall-related crash risks.
Robert Thomson is a Professor at Chalmers University of Technology’s Mechanics and Maritime Sciences (M2) department, specializing in Vehicle Safety . With over 35 years of experience since 1988, his work spans crash testing, accident analysis, numerical modeling, and vehicle test data interpretation. Key research themes include injury mechanisms in collisions, crash compatibility between vehicles and infrastructure, and biomechanical modeling of human reflexes and posture. Current Projects : Road Work Warning II (VINNOVA), Säkrare utformning av lastbilsfront (Swedish Transport Administration), Virtual Evaluation Tools for Pedestrian Safety (VINNOVA) Methodologies : Finite element human body models, driving simulators, uncertainty analysis, real-world data modeling Recent publications focus on: Pedestrian/cyclist trajectory prediction using Social-LSTM Gender-specific head-neck biomechanics in low-speed impacts Crash compatibility assessments for heavy goods vehicles Balance recovery strategies in public transport passengers He actively collaborates with: Organizations : VINNOVA, European Commission, Swedish Transport Administration, RISE Research Institutes Institutions : KTH Royal Institute of Technology, Lund University, Technical University of Denmark
José Orlando Pereira is an Associate Professor at the Department of Informatics, University of Minho, and Research Coordinator at INESC TEC (INESC Technology and Science). His primary research interests lie in dependable distributed systems, with a focus on data management, group communication protocols, and tools for distributed system evaluation. He leads the High-Assurance Software Laboratory (HASLab) , part of INESC TEC and the University of Minho. Roles: Academic supervisor, conference committee member (e.g., SRDS 2025 General Co-Chair), and grant recipient (e.g., ADAPQO funding from CMU Portugal 2024). Key Projects: Includes CYBERACTIONING (cybersecurity education), EUMaster4HPC (European HPC master's program), and AIDA (adaptive assurance platform). Research Themes: Database replication, georeplicated systems, consensus protocols, edge computing, and fault injection tools like LAZYFS. His work emphasizes practical applications, such as improving transactional performance in hybrid workloads (TiQuE) and designing scalable NoSQL middleware (CloudMdsQL). He has authored over 200 publications, including seminal contributions to gossip protocols (HyParView) and consensus algorithms. Awards: Honorable Mention at ACM SIGMOD 2025 for CRDV research. Active in organizing conferences such as SRDS, DSN, and EuroSys. Teaching: Offers advanced courses on distributed systems, database administration, and large-scale data replication at both undergraduate and graduate levels.
