جستجوی استاد راهنمای دانشگاهی

Najmeh Salehiمشاهده پروفایل

استادیار

• Applied Mathematics
• Mathematical Modeling
• Control Theory
• +۳ مورد دیگر

Najmeh Salehi serves as an Assistant Professor in the Department of Mathematics and Computer Science at Saint Mary's College of California, with research centered on applied mathematics and real-world problem-solving through mathematical modeling and computational techniques. Her work bridges theoretical frameworks with practical applications in transportation systems and environmental phenomena. BSc. from Shahrood University of Technology MSc. from Sharif University of Technology PhD from Temple University Her research expertise spans Applied Mathematics , Mathematical Modeling , Control Theory , and Scientific Computation , with specialized focus on traffic flow dynamics, conservation laws, and optimal control of spatial propagation fronts. She develops macroscopic traffic models validated through SUMO microsimulations and applies mathematical frameworks to diverse challenges like sourdough fermentation analysis and Lego robot path optimization, emphasizing data-driven solutions for complex systems. Her scholarly output includes publications in high-impact journals such as Mathematical Models and Methods in the Applied Sciences (2022), demonstrating consistent innovation in modeling propagation fronts and traffic network dynamics. Her work reveals a strong trajectory in merging theoretical control theory with transportation engineering and environmental applications. While no formal awards are documented, her professional activities include significant teaching contributions across calculus and computational courses at Temple University and community engagement through STEM outreach initiatives like Sonia Kovalevsky Day and cryptography workshops for children. Her research collaborations span industry partnerships (e.g., Amber Grain Bakery for sourdough modeling) and academic labs including Penn State's group under Professor Alberto Bressan. She maintains active research teams focused on traffic flow validation using SUMO simulations, autonomous vehicle testing with Duckiebots, and Raspberry Pi robotics development, alongside postdoctoral work on conservation law applications for contaminant spread control.

Mirko Sonntagمشاهده پروفایل

استاد

• Software Engineering
• Scientific Workflows
• New Mobility
• +۶ مورد دیگر

Mirko Sonntag is a Professor for Software Engineering at Esslingen University of Applied Sciences since 2019, concurrently serving as Head of the Fraunhofer Application Center KEIM and Head of the University Institute KEIM. His academic roles encompass teaching Software Engineering, Agile Development, Software Architecture, Programming, HCI, Testing, and DevOps within the School of Computer Science and Engineering. He earned his Dipl.-Informatiker in Software Engineering from the University of Stuttgart (2008), followed by a Dr. rer. nat. PhD (2012) focusing on scientific workflow flexibility at Stuttgart's Institute of Architecture of Application Systems as part of the DFG Cluster of Excellence 'Simulation Technology'. Professor Sonntag's research bridges Software Engineering with New Mobility domains, emphasizing e-Mobility, sustainable/intelligent mobility systems, micro-mobility, autonomous shuttles, and traffic simulations. His methodology integrates simulation technologies with software architecture to address real-world mobility challenges, particularly through the KEIM research institute. Publication trends since 2021 reveal a concentrated shift toward autonomous vehicle fleet simulation (SUMO-based) and dynamic pricing models for EV charging infrastructure, reflecting industry-aligned mobility innovation. Core disciplines span Computer Science and Transportation Engineering, with recurring subfields including Autonomous Vehicles, Traffic Simulation, and Fleet Management. He actively mentors students through bachelor's/master's theses at KEIM and offers research-focused student jobs, while securing institutional support as a member of the research council, science council, and University council. His leadership extends to the Laboratory for System and Software Technology and the University Institute KEIM, where interdisciplinary teams develop mobility solutions in collaboration with Fraunhofer, focusing on traffic simulation frameworks and sustainable transport systems.

Priyanka Alluriمشاهده پروفایل

استادیار

• Transportation Safety
• Highway Safety Manual
• Pedestrian and Bicycle Safety
• +۳ مورد دیگر

Dr. Priyanka Alluri is an Assistant Professor in the Department of Civil and Environmental Engineering at Florida International University (FIU). She holds a Ph.D. in Civil Engineering from Clemson University (2010) and is a licensed Professional Engineer in South Carolina. Her research focuses on transportation safety, including advanced safety analysis models, implementation of the Highway Safety Manual (HSM), pedestrian/bicycle safety, traffic control devices, and human factors in transportation. She currently serves as Faculty Advisor for the Institute of Transportation Engineers (ITE) Student Chapter at FIU. Education: Ph.D., Civil Engineering, Clemson University, 2010 Research interests emphasize transportation safety innovations, with a focus on crash analysis methodologies, traffic incident management, and smart infrastructure applications. Her work spans topics like secondary crash prevention, adaptive traffic control systems, and mobility benefits of TSMO strategies. She has pioneered studies on unique areas such as golf cart safety in retirement communities and the impact of pandemic conditions on crash severity. Publications highlight her contributions to TSMO strategy evaluation, safety performance functions for managed lanes, and data-driven approaches to mitigate wrong-way driving. Her research integrates advanced statistical modeling (Bayesian networks, neural networks) and simulation tools (VISSIM, PTV Epics) to address real-world transportation challenges. Notable projects include Florida-specific safety guidelines for ramp metering operations, evaluation of Road Rangers' impact on incident clearance, and development of safety assessment toolkits for bus stops. She actively contributes to transportation policy through studies on connected vehicle technologies and procurement frameworks for Florida's CV deployments.

• Transportation Engineering
• Traffic Safety Analysis
• Intelligent Transportation Systems (ITS)
• +۴ مورد دیگر

Dr. Achilleas Kourtellis serves as Assistant Program Director and Teaching Professor in the ITS, Traffic Operations & Safety program at the University of South Florida's College of Engineering. He holds a PhD in Transportation (2009) and has been affiliated with CUTR since 2006. His research focuses on driver behavior, traffic safety, and intelligent transportation systems (ITS). He has led projects involving pedestrian safety, connected vehicle technologies, and crash avoidance systems for trucks and transit vehicles. Educations: PhD (2009), MS (2006), BS (2004) in Civil Engineering from USF Research interests include behavioral analysis of drivers/pedestrians, controlled driving tests for technology evaluation, and data-driven traffic management. He co-managed major studies like SHRP2 Naturalistic Driving Study and FDOT Naturalistic Bicycle Pilot. His work emphasizes practical applications of ITS and safety countermeasures in real-world environments. Recent articles explore pandemic impacts on driving behavior, connected vehicle cybersecurity, and infrastructure resilience. He actively participates in TRB committees on pedestrian and bicycle safety. No scientific awards explicitly listed, though his extensive peer-reviewed publications reflect recognition in the field. Advises on projects involving transit safety, automated vehicles, and data collection methods. Collaborates with industry on technology deployment and evaluation. His lab focuses on integrating emerging technologies like drones and AI for traffic monitoring and safety enhancement.

Xiaowei Shiمشاهده پروفایل

استادیار

• Connected and Automated Vehicles
• Transportation Systems
• Vehicle-to-Everything Communications
• +۲ مورد دیگر

Dr. Xiaowei (Tom) Shi is an Assistant Professor in Civil and Environmental Engineering at the University of Wisconsin-Milwaukee's College of Engineering & Applied Science and serves as the Founder and Director of the Automated, Connected & Electric Mobility Systems (ACES) Lab. He holds a PhD in Transportation Engineering from the University of South Florida with additional graduate degrees from Beijing Jiaotong University. His research specializes in evaluating and developing technologies for connected/automated vehicles (CAVs), utilizing hardware-in-the-loop methodologies to advance cooperative driving automation systems. His work integrates transportation engineering, control systems, optimization, and data science. Publications demonstrate consistent focus on CAV technologies with evolving emphasis on human factors and sustainability (2021-2024). Early work centered on fundamental traffic modeling and vehicle operations, while recent publications increasingly address user acceptance, energy efficiency, and neural network applications in transportation systems. He teaches courses covering transportation systems analysis, intelligent transportation technologies, and traffic operations modeling. He maintains active participation in IEEE technical committees and TRB's Emerging Technologies in Network Modeling panel.

Jason Liuمشاهده پروفایل

استاد

• Modeling and Simulation
• Parallel Discrete-Event Simulation
• Computer Networks
• +۲ مورد دیگر

Dr. Jason Liu is Eminent Scholar Chaired Professor and Interim Director at Florida International University's Knight Foundation School of Computing and Information Sciences. His research focuses on high-performance modeling/simulation of computer systems/networks, with emphasis on parallel discrete-event simulation techniques. Funded by NSF, DOE, DOD, DHS, and NIH, he has developed innovations in network emulation and performance prediction. Liu holds a BS from Beijing University of Technology (1993), MS from College of William and Mary (2000), and PhD from Dartmouth College (2003). Professional experience includes positions at Dartmouth ISTS, University of Illinois Urbana-Champaign, and visiting appointments at Tsinghua University, LANL, and UPMC/LINCS. Honors include NSF CAREER Award (2006) and ACM Distinguished Scientist (2014). He serves on editorial boards of ACM TOMACS, SIMULATION, and IEEE Networking Letters, and leads organization of SIGSIM-PADS conferences. Recent publications address cache management, federated learning, and virtual network functions.

Ernest Tufuorمشاهده پروفایل

استاد پژوهش

• Intelligent Transportation Systems
• Transportation System Planning
• Microscopic Modeling
• +۲ مورد دیگر

Ernest Tufuor is a Research Professor at Auburn University Transportation Research Institute (AUTRI), specializing in Civil and Environmental Engineering. His research focuses on Intelligent Transportation Systems, Transportation System Planning, Microscopic Modeling, Highway Safety, and Resilience. Tufuor earned his Ph.D. from the University of Nebraska-Lincoln, M.S. from the University of Leeds, and B.S. from KNUST. His work includes advancing travel time reliability methodologies, optimizing axle load limits for infrastructure resilience, and developing intelligent work zone systems. He has contributed to over 15 peer-reviewed articles since 2017, addressing topics like pandemic impacts on traffic, arterial roadway performance, and sensor technologies for transportation research. Tufuor actively participates in national conferences, including the Transportation Research Board (TRB) Annual Meeting, showcasing Auburn University’s research contributions. His research aligns with AUTRI’s mission to advance transportation innovation through interdisciplinary collaboration.

• Transportation Safety
• Traffic Control Systems
• Intelligent Transportation Systems (ITS)
• +۴ مورد دیگر

Dr. Juan Medina is a Research Associate Professor in the Civil & Environmental Engineering Department at the University of Utah . He holds a Ph.D. and M.S. from the University of Illinois at Urbana-Champaign, and a B.S. from Pontifical Xavierian University (Colombia). His expertise spans transportation safety , traffic control systems , Intelligent Transportation Systems (ITS) , and agent-based modeling . He leads the Utah Transportation and Public Safety - Crash Data Initiative (UTAPS-CDI) , focusing on improving highway safety through data-driven decision-making and crash information management. Education: Bachelor's in Civil Engineering, Pontifical Xavierian University (2001) Master's in Civil and Environmental Engineering, University of Illinois at Urbana-Champaign (2005) Ph.D. in Civil and Environmental Engineering, University of Illinois at Urbana-Champaign (2013) Research Interests: Dr. Medina’s work emphasizes predictive crash modeling , traffic simulation , work zone safety , and agent-based control strategies . His projects integrate machine learning, naturalistic driving data, and advanced analytics to address complex transportation challenges. He is actively involved in national conferences (TRB, IEEE, ASCE) and collaborative initiatives. Grants & Projects: UTAPS-CDI aims to establish Utah as a national hub for transportation safety research, developing tools to enhance crash data reliability and safety interventions. His work also explores microscopic traffic simulation validation , solar-powered traffic infrastructure , and LED lighting efficacy for roadways. Labs/Teams: Leads the UTAPS-CDI initiative, collaborating with state and federal agencies to advance safety research and data-driven policies.

Mark Humphrysمشاهده پروفایل

استادیار

• Artificial Intelligence
• Reinforcement Learning
• JavaScript Programming
• +۳ مورد دیگر

Dr. Mark Humphrys is an Assistant Professor at Dublin City University's School of Computing within the Faculty of Engineering and Computing. He holds a BSc in Mathematics and Computer Science from University College Dublin, a PhD in Computer Science from the University of Cambridge, and completed postdoctoral work at the University of Edinburgh. His research spans Artificial Intelligence, Reinforcement Learning, JavaScript-based educational platforms, and multi-agent systems. His research focuses on: Action selection methods in autonomous agents Reinforcement learning architectures JavaScript-based AI education platforms (Ancient Brain) Multi-author hybrid AI systems Turing Test implementations Urban mobility and transportation modeling Analysis of his recent publications reveals strong emphasis on: Educational technology innovations using JavaScript frameworks Financial market impacts on labor economics Distributed AI system architectures Urban transportation solutions and predictive modeling Human-computer interaction paradigms He has supervised 4 PhD students to completion and maintains the Ancient Brain coding platform hosting over 11,000 user projects. His work has received 686 citations with an h-index of 11. Dr. Humphrys leads several projects including Ancient Brain (JavaScript coding education), World-Wide-Mind (distributed AI research), and maintains research groups exploring multi-agent systems and transportation analytics.

• Transport Engineering
• Traffic Modeling and Simulation
• Data Analytics (Machine Learning)
• +۳ مورد دیگر

Chao Sun is an Associate Professor at The University of Western Australia (UWA), affiliated with the School of Social Sciences and the Planning and Transport Research Centre (PATREC). His research bridges academia, government, and industry through multidisciplinary approaches combining modern computing, data analytics, and simulation techniques. Key focuses include autonomous vehicles' societal impacts, transport modeling, and optimizing logistics systems using genetic algorithms and machine learning. Education and Career: Prior roles include Senior Simulation Consultant at AECOM and Research Associate at Curtin University. His work emphasizes digital transformation in transport sectors, addressing challenges like Perth's urban growth and infrastructure planning. Research Interests: Future Transport Scenarios (e.g., telecommuting, AV integration) Data-Driven Traffic Simulation Optimization for Logistics Networks Smart City Infrastructure Grants & Projects: Leads over 30 funded initiatives, including 'RoadSense Analytics: AI-enabled Traffic Intelligence' (2025–2027) and 'RailSmart Wanneroo Planning Support System'. Recent collaborations involve Main Roads WA and the WA Department of Transport. Awards: Received the 2022 School of Social Sciences Award for Research Impact and Innovation, recognizing contributions to bridging research and practical transport solutions. Labs/Teams: Core member of PATREC, contributing to datasets like 'RailSmart' and advancing tools such as the ADAPT accessibility toolkit.

Alexander Crizzleمشاهده پروفایل

استاد

• Gerontology
• Transportation Safety
• Public Health
• +۶ مورد دیگر

Dr. Alexander Crizzle is a Professor in the Department of Public Health at the University of Saskatchewan. He serves as Director of the PhD Public Health Program and Director of the Driving Research and Simulation Laboratory (DRSL). His work focuses on gerontology, transportation safety, and public health. Dr. Crizzle’s research addresses fitness-to-drive assessments, clinical interventions, and urban planning solutions for older drivers, individuals with neurodegenerative diseases, and long-haul truck drivers. Research Interests: Dr. Crizzle investigates driving simulation technology for rehabilitation, pedestrian safety, microsimulation for urban design, and health disparities in commercial motor vehicle drivers. His lab (DRSL) houses advanced car and commercial vehicle simulators alongside clinical testing equipment for vision and cognition. Recent projects include studies on truck stop environments, vaccine hesitancy, and dementia-related driving cessation strategies. Labs & Funding: The DRSL’s infrastructure was supported by the Canadian Foundation for Innovation, Saskatchewan Government Insurance, and provincial funding. Dr. Crizzle collaborates with interdisciplinary teams to develop evidence-based guidelines for driver fitness assessments and transportation accessibility. Teaching: Teaches PUBH 804 (Foundations), PUBH 840 (Capstone), PUBH 807 (Health Program Planning), and PUBH 990 (Seminar in Public Health).

Ronghui Liuمشاهده پروفایل

استاد

• Network modelling
• Traffic simulation
• Public transport reliability
• +۲ مورد دیگر

Professor Ronghui Liu is a Professor of Networks and Transport Operations at the Institute for Transport Studies, University of Leeds. She holds a PhD from the University of Cambridge and previously served as Research Fellow at University College London and Head of Transport Modelling at TRL. Her research focuses on mathematical modelling and optimization of transportation systems, including traffic signal design, public transport reliability, and railway operations. Research interests span: Development of traffic microsimulation tools like DRACULA Real-time control methods for public transport ERTMS and automatic train operation systems Weather impact on transport networks Network-wide traffic optimization Her publications demonstrate consistent focus on optimization algorithms, AI applications in transport, and sustainable mobility solutions, with recent emphasis on machine learning integration and multi-stakeholder system design. Significant awards include: Neil Mansfield Award for Best Paper by Young Author Special Honorary Mention at UTSG Conference Runner-up HKSTS Outstanding Student Paper Award Advises 7 PhD students and secured £2M+ in research funding including EU Shift2Rail and Royal Academy of Engineering grants. Leads projects on real-time yard management and energy-efficient train operations. Directs international activities and teaches transport modelling courses. Developed professional training programs for SATURN and DRACULA software used by transport professionals globally.

• Hardware-Software Systems
• Embedded Systems
• Intelligent Robotic Environments
• +۵ مورد دیگر

Dr. Alexandru Iovanovici is an Associate Professor at the Department of Computer Science, Faculty of Automatic Control and Computers, Politehnica University of Timisoara. His research focuses on hardware-software systems, embedded systems, intelligent robotic environments, and complex networks analysis with applications in urban traffic optimization and sensor networks. He holds a Dr. Eng. degree and has received Merit Diplomas in 2021 and 2023. His academic work combines theoretical network science with practical engineering solutions. Notable projects include the INCEPTION initiative exploring IoT and complex networks for COPD management, and TACTICS framework for adaptive traffic control systems. His research bridges computer science, transportation engineering, and biomedical informatics. Education: Dr. Eng. in Computer Science (degree institution unspecified) Key Skills: Network motif analysis, metaheuristic optimization, real-time traffic modeling Research trends show strong emphasis on applying complex networks theory to urban systems: 60% of recent publications (2019-2022) address traffic infrastructure optimization, while 30% explore biomedical applications like drug interaction networks. Recent work demonstrates cross-disciplinary innovation, combining machine learning with embedded systems for wearable healthcare monitoring. Awards: 2023 Merit Diploma for academic contributions, 2021 Merit Diploma Events Organized: 2024 Workshop on Secure Real-Time Data Systems, 2025 IEEE Symposium on Applied Computational Intelligence Active in both academic and applied research, Dr. Iovanovici leads projects involving EU economic dynamics modeling and pandemic-era mobility studies. His lab develops high-availability monitoring systems for sleep disorders and maintains a spatial analysis framework for traffic data integration.

Javier Argota Sánchez-Vaquerizoمشاهده پروفایل

مدرس

• Urban Digital Twins
• Participatory Governance
• Mobility Systems
• +۲ مورد دیگر

Javier Argota Sánchez-Vaquerizo is Lecturer in Computational Social Science at ETH Zurich, bridging architecture, urban design, and data science to transform urban decision-making. His work develops urban digital twins integrating human-computer intelligence for participatory governance and sustainable cities. Research integrates: Digital twin architectures for urban complexity Mobility system democratization VR-enabled participatory design Mixed-traffic optimization Deliberative democracy frameworks Recent publications demonstrate empirical validation of large-scale urban simulations (Barcelona traffic), VR studies of pedestrian perception, and comparative analyses of bike-sharing accessibility. Methodological innovations include multi-agent lane management (FAIRLANE) and open-source route recommendation systems prioritizing multi-criteria equity. Collaborates with Singapore's Future Cities Laboratory and European Research Council projects. Exhibited architectural work at Venice Biennale. Current projects examine metaverse-urbanism intersections and institutional frameworks for democratic digital twins.

Sabya Mishraمشاهده پروفایل

استاد

• Transportation Planning and Policy
• Travel Demand Modeling
• Transportation Economics and Finance
• +۵ مورد دیگر

Dr. Sabya Mishra is a Professor in the Department of Civil, Construction, and Environmental Engineering at the University of Memphis. Previously, he served as a Research Assistant Professor at the National Center for Smart Growth Research and Education, University of Maryland College Park. His expertise spans Travel Demand Modeling, Transportation Planning, Econometric Modeling, and Freight Transportation Economics. He actively contributes to national/state projects funded by agencies like the Federal Highway Administration and Tennessee Department of Transportation. Dr. Mishra leads research initiatives on work zone safety, automated vehicles, and sustainable urban mobility. He is affiliated with the Transportation Research Board committees ABE20 and AT010. Research focuses include: Work zone safety and alert systems Automated and connected vehicle integration Freight transportation optimization Behavioral change strategies for sustainable mobility Current research projects involve developing rural transit solutions for the Blue Oval City hub, advancing electrified trucking systems, and evaluating the impact of induced travel in urban areas. His team has developed tools like the Large-Scale Land Use Model (LS-LUM) integrated with travel demand systems. He collaborates with agencies such as TDOT, MATA, and FHWA to address real-world transportation challenges.