جست‌وجوی استاد و پژوهشگر

Markus Bohlinمشاهده پروفایل

استاد

• Applied Artificial Intelligence
• Railway Systems
• Transportation Engineering
• +۵ مورد دیگر

Markus Bohlin serves as Professor (on leave) at Mälardalen University within the School of Innovation, Design and Engineering's Division of Product Realisation. He concurrently holds leadership roles as Dean of the School of Business Society and Engineering, Division Manager for Product Realization, and School Director for the INDTECH Industrial Graduate School. His academic credentials include: Doctoral thesis defended at Mälardalen University (2009) Associate professorship (docent) granted at Mälardalen University (2013) Adjunct professorship in rail traffic systems analysis at KTH Royal Institute of Technology (2014) Full professorship in Computer Science with Applied AI focus at Mälardalen University (2019) Bohlin's research centers on Applied Artificial Intelligence across critical infrastructure domains. His primary focus areas include: Railway systems optimization and freight logistics Cyber-physical systems for construction automation Machine learning applications in manufacturing quality control Simulation-assisted decision support systems His work bridges theoretical AI with industrial implementation in transportation, production, and power systems. Recent publications demonstrate a clear trajectory toward integrating machine learning with simulation modeling for real-world problem solving, particularly in railway punctuality optimization, construction site autonomy, and manufacturing defect detection. This interdisciplinary approach consistently targets high-impact industrial applications. Bohlin has held significant leadership positions including: President of the Swedish Operations Research Association (2012-2016) Member of Trafikverket Board on Capacity in Railways Program chair for ICROMA 2019 and multiple national conferences His academic supervision includes 4 completed PhDs, 9 licentiate degrees, and 5 ongoing doctoral candidates. With 20+ years of experience managing organizations up to 60 employees and 40+ projects (including H2020 initiatives), he brings substantial operational expertise to research commercialization. Current leadership roles encompass the Product Realisation division and INDTECH Industrial Graduate School, driving industry-academia collaboration in innovation and engineering.

• Transportation Engineering
• Traffic Engineering
• Infrastructure Design
• +۳ مورد دیگر

Assistant Professor Kollár Attila is affiliated with the Department of Highway and Railway Engineering at the Faculty of Civil Engineering, Budapest University of Technology and Economics. His work spans transportation engineering and vascular medical research, with expertise in traffic flow analysis, infrastructure design, and rare vascular disease diagnostics. Teaches courses on Highway and Railway Design (BMEEOUVAI43) Conducts research on road/railway systems and rare vascular pathologies Contact: kollar.attila@emk.bme.hu Research interests include: Traffic flow modeling and optimization Transportation infrastructure design Medical imaging applications in vascular diseases Analysis of rare inflammatory vascular conditions Article trends show dual focus on transportation engineering and biomedical research, particularly in vascular pathology and interventional techniques. His work on traffic modeling (2014-2018) and medical case studies (2004-2016) demonstrates interdisciplinary expertise bridging civil engineering and clinical research.

Earl Rusty Lee IIمشاهده پروفایل

دانشیار

• Transportation
• Infrastructure Systems
• Disasters
• +۱ مورد دیگر

Earl 'Rusty' Lee II is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Delaware and a core faculty member of the Disaster Research Center. He earned a B.S. in Nuclear Engineering (1978), an M.S. in Management (2004), and a Ph.D. in Decision Science and Engineering Systems (2006) from Rensselaer Polytechnic Institute. After retiring as a Commander from the U.S. Navy in 2002, he transitioned to academia, focusing on modeling transportation and interdependent infrastructure systems. His research explores: Transportation systems : Autonomous vehicle integration, traffic flow optimization, and energy consumption modeling. Infrastructure resilience : Disaster response frameworks, vulnerability assessments, and climate adaptation. Urban sustainability : Energy-transportation nexus, geospatial analysis, and policy development. His publications (2013–2020) predominantly address autonomous intersection management, CAV clustering, disaster resilience, and urban energy modeling, showcasing a focus on algorithmic solutions for sustainable infrastructure. Awards & Honors: 2020 College of Engineering Dean’s Award for Excellence in Service and Community Engagement 2017 Safety Coin from the Federal Highway Administration He directs the Delaware T2/LTAP Center, funded by the Federal Highway Administration and Delaware DOT, which facilitates technology transfer, workforce development, and safety initiatives for transportation agencies. The center engages students in real-world projects.

• Environmental Economics
• Behavioral Economics
• Transportation Modeling
• +۷ مورد دیگر

Dr. C. Anna Spurlock is a Researcher at the University of California at Berkeley , working within the Sustainable Energy and Environmental Systems Department at Lawrence Berkeley National Laboratory. As a Deputy Department Head and head of the Berkeley Lab Sustainable Transportation Initiative, she leads projects like the DOE-funded BEAM CORE and the Geo-Economic Multi-Modal Systems (GEMS) Model. Her work bridges behavioral economics with advanced data science to analyze consumer decision-making in transportation and energy efficiency policy. Education: PhD in Agricultural and Resource Economics, University of California at Berkeley (2013) MS in Agricultural and Resource Economics, University of California at Berkeley (2009) BA in Anthropology, University of California at Santa Cruz (2002) Research interests span transportation equity , machine learning for mobility modeling , and energy justice frameworks . Her publications focus on autonomous vehicles, fleet turnover, and the intersection of life events with mobility patterns. Articles address topics like probe vehicle data analysis , CO2 emissions reduction , and gender disparities in transportation . Scientific Awards: 2021 Spot: Team Workforce Development Award 2018 Director’s Award for Exceptional Achievement: Diversity 2017 Early Career Development LDRD Award 2017 CUCSA Kevin McCauley Memorial Outstanding Staff Award She has advised research teams on projects such as the WholeTraveler initiative under DOE SMART Mobility and founded the Behavior Analytics research initiative at LBNL. Her work includes collaborations with DOE programs , data-driven policy evaluation , and advocacy for diversity and inclusion in academic institutions.

• Transport Engineering
• Traffic Engineering
• Traffic Simulation Modeling
• +۳ مورد دیگر

Saad Yousif is a Senior Lecturer in Transport Studies at the University of Salford, UK, within the School of Science, Engineering & Environment. He previously served as Programme Leader for the MSc in Transport Engineering & Planning and is affiliated with the Centre for Future Engineering. His academic career spans several decades with significant contributions to traffic engineering research. Dr Yousif's educational background includes: BSc (Hons) in Civil Engineering from Baghdad University MSc in Transportation Engineering PhD in Traffic Engineering from the University of Wales, Cardiff Before his academic career, he gained practical experience working on building construction sites and major highway projects in Iraq during the 1980s. His research focuses on Transport Engineering and Planning , with particular expertise in Traffic Engineering and Developing Traffic Simulation Models . His work primarily addresses: Motorway operations and roadworks management Driver behavior analysis in various traffic scenarios Development and validation of microsimulation models Temporary traffic management schemes Traffic flow theory and capacity analysis His research has evolved from practical studies on on-street parking in the 1990s to sophisticated traffic microsimulation models in recent years. A notable trend is his consistent focus on UK motorways and urban road networks, with particular attention to safety implications of traffic management schemes. Dr Yousif actively supervises undergraduate and postgraduate dissertations and teaches transport-related modules that integrate his research expertise with practical applications. As a member of the Centre for Future Engineering, he contributes to interdisciplinary research initiatives focused on sustainable transportation solutions.

Michail Makridisمشاهده پروفایل

مدرس ارشد

• Transportation Engineering
• Traffic Flow Modeling and Simulation
• Intelligent Transportation Systems
• +۷ مورد دیگر

Dr. Michail Makridis is a Senior Lecturer at ETH Zürich's Department of Civil, Environmental and Geomatic Engineering, where he leads the Road Traffic Technology Group. He serves as the main responsible lecturer for Microscopic Modelling and Simulation of Traffic Operations and has taught Traffic Engineering courses. His work focuses on developing innovative approaches to transportation challenges with a particular emphasis on system resilience and antifragility. Dr. Makridis's research interests span multiple dimensions of modern transportation systems. His primary focus areas include traffic flow modeling and simulation, intelligent transportation systems, and traffic estimation and control. He has made significant contributions to understanding vehicle dynamics and driver behavior simulation, with particular attention to vehicle energy demand and emissions. His work on antifragile transportation systems represents a cutting-edge approach to designing networks that improve performance under disruption. His recent publications demonstrate a strong trend toward integrating machine learning with traditional transportation engineering. The research shows increasing focus on antifragility concepts in traffic networks, congestion-aware prediction models, and multimodal transportation solutions that balance the needs of different road users. His work spans theoretical frameworks and practical applications, with several publications addressing real-world challenges in urban mobility. MFC and Battery Consumption Model (April 2022) Simsub Best Simulation Development Paper Award (TRB 2020) for Enhanced MFC: Introducing dynamics of electrified vehicles for free flow microsimulation modeling Dr. Makridis leads multiple significant research projects including AntifragiCity, which aims to revolutionize how urban mobility systems respond to disruptions, and ANTIGONES, focusing on designing anti-fragile large-scale traffic frameworks. His work on ASTRA BGT examines the impact of autonomous vehicles on tunnel safety and efficiency, while BikeZ develops models for mass cycling as a service. He also contributes to OptFlow, which focuses on travel-time estimation using FLIR camera sensors. His research has practical applications in improving urban transportation resilience and efficiency.

Clas Rydergrenمشاهده پروفایل

استاد

• Transport Modelling
• Transport Data Analytics
• Passenger Transport Demand Modelling
• +۶ مورد دیگر

Clas Rydergren is a Professor and Head of Unit at Linköping University's Department of Science and Technology (ITN), within the Communications and Transport Systems division. His research focuses on transport modelling, data analytics, and simulation, with expertise in passenger demand, traffic flow analysis, and urban traffic management. He leads the Traffic Modelling and Simulation research group, collaborating with industry to address real-world transport challenges. Rydergren coordinates the master's program profile in Traffic Analysis and contributes to logistics and transport education through program boards. His work integrates GPS, radar, and mobile data to improve transport systems. Education details are not explicitly provided in the texts, though his academic roles imply advanced qualifications in transportation engineering. His research spans microscopic traffic simulation, automated vehicles, and sustainable transport policies. Over 50 publications since 1998 reflect contributions to equilibrium modelling, data-driven approaches, and infrastructure design evaluation. He advises on strategic traffic management methodologies and has explored taxation policies' impact on road traffic. Current research emphasizes mobility analytics for efficient road transport and cycling infrastructure investments. Grants and collaborations with industry partners underpin his applied research, aiming to bridge academic insights with practical transport solutions. He is involved in educational program development, ensuring curricula align with industry needs in transport and logistics. Rydergren's lab focuses on large-scale transport models and innovative data sources like cellular network and GPS data for traffic analysis.

• Traffic Engineering
• Transportation Systems
• Electric Mobility
• +۱۳ مورد دیگر

Francesco Paolo Deflorio is an Associate Professor in the Department of Environmental, Land and Infrastructure Engineering (DIATI) at the Polytechnic University of Turin , where he has been active since 2018. He is affiliated with the CARS@PoliTO Interdepartmental Center for Automotive Research and Sustainable Mobility and teaches courses such as Models and Technologies for Traffic and Transport , Simulation Tools for Transport Systems , and Traffic Observation, Simulation, and Regulation across various engineering programs including Civil, Mechanical, Automotive, and Environmental Engineering. He is a member of the PhD collegium in Civil and Environmental Engineering and supervises several doctoral candidates. Education: PhD in Automation and Computerization of Transport, Polytechnic University of Turin Master of Science in Civil Engineering, Polytechnic University of Bari His research focuses on transportation systems engineering , with emphasis on intelligent transport systems (ITS), electric mobility, sustainable logistics, traffic modeling, and simulation. He has made significant contributions to dynamic route guidance, wireless sensor networks for traffic safety, and in-motion charging for electric vehicles. His recent work explores autonomous vehicle integration, energy efficiency in freight transport, and smart road technologies. The analysis of his recent publications reveals a consistent trend toward sustainable and intelligent mobility systems , combining engineering modeling with real-world applications in urban and freight transport. His work bridges theoretical simulation with practical ITS deployment, particularly in energy-efficient and safety-enhancing technologies. Scientific Participations: President, Italian Association for Traffic and Transport Engineering – Piedmont and Aosta Valley Section (2012–2018) Full Member, Italian Society of Transport Teachers (SIDT) (2006–present) He leads numerous research initiatives, including the EPIGNOSIS project under the PNRR, and has served as scientific manager for over 20 funded research and commercial projects related to vehicle energy efficiency, traffic control, and smart mobility. He advises doctoral students on topics such as autonomous vehicle integration and electric mobility modeling. His research is supported by collaborations with regional authorities, industry partners, and foundations. Labs and Research Centers: Member, CARS@PoliTO – Center for Automotive Research and Sustainable Mobility Involved in the CLIK Laboratory (“Contamination Lab and Innovation Kitchen”) for innovative teaching challenges

Heather MacLeanمشاهده پروفایل

استاد

• Life Cycle Assessment
• Techno-Economic Analysis
• Sustainable Infrastructure
• +۶ مورد دیگر

Professor Heather MacLean is a leading academic at the Department of Civil & Mineral Engineering within the Faculty of Applied Science & Engineering at the University of Toronto . She also holds the Canada Research Chair in Sustainable Systems and Technology Assessment and serves as Vice Dean Strategy for the Faculty of Applied Science & Engineering. Current roles: Professor, Vice Dean, Canada Research Chair Key research areas: Life Cycle Assessment, Techno-Economic Modeling, Sustainable Infrastructure Her research focuses on sustainable engineering systems , particularly through life cycle assessment and techno-economic methods to evaluate energy and transportation systems. She explores technical and externality impacts of conventional and alternative technologies, with interdisciplinary connections to civil, environmental, chemical, and mechanical engineering, as well as economics and public policy. The themes of her recent publications (2008–2017) center on life cycle emissions of vehicles, biofuels , urban resilience , and carbon sequestration . These works span energy resource flows in cities, intermodal transport modeling, and emissions validation through microsimulation. She actively collaborates with public and private sectors on sustainability projects, though specific student names and lab details are not listed in the provided text. The Canada Research Chair underscores her national leadership in sustainable systems analysis.

• Innovative infrastructure designs
• Traffic operations analysis
• Highway safety
• +۳ مورد دیگر

Amir Mehrara Molan is an Assistant Professor of Civil Engineering at the University of Mississippi (University of Mississippi). He holds a Ph.D. from Wayne State University and degrees from Azad University (B.S., 2011; M.Sc., 2013). His research focuses on innovative infrastructure designs, traffic operations analysis, highway safety, intelligent transportation systems, and transportation modeling. He pioneered the Super Diverging Diamond Interchange (Super DDI) to enhance interchange efficiency and safety, particularly in underserved regions like the Wind River Indian Reservation in Wyoming. Education: B.S. Civil Engineering, Azad University (2011) M.Sc. Civil Engineering, Azad University (2013) Ph.D. Civil Engineering, Wayne State University (2017) Research Interests: Dr. Molan emphasizes multimodal transportation solutions, including pedestrian and bicycle safety, and innovative designs to address urban and rural challenges. His work integrates safety equity, traffic simulation, and data-driven decision-making to optimize infrastructure performance. Notable contributions include the Super DDI and novel approaches to coordinated ramp metering and public acceptance scoring systems for alternative intersections. Articles Trends: Recent publications focus on alternative intersection designs (e.g., Super DDI, Double Contraflow), bicycle/road safety, and the application of microsimulation and surrogate safety measures. His work bridges theoretical models with real-world case studies in Denver, Atlanta, and Wyoming. Scientific Awards: 2018 Best Paper in the ASCE Journal of Transportation Engineering Advising & Grants: Principal Investigator (PI) or Co-PI on eight projects totaling over $1.5M, funded by state DOTs and UTCs. Advises the Ole Miss ITE Chapter and contributes to TRB committees. Prior roles include Lecturer/Researcher at Cal Poly-SLO and Postdoctoral Researcher at the University of Wyoming. Labs/Teams: Collaborates with University Transportation Centers and federal/state agencies to advance applied transportation research. Engages in projects addressing rural-urban disparities and Indigenous community transportation needs.

Milan Zlatkovicمشاهده پروفایل

دانشیار

• Traffic Engineering
• Intelligent Transportation Systems (ITS)
• Traffic Signal Systems
• +۶ مورد دیگر

Milan Zlatkovic is an Associate Professor in the Department of Civil & Architectural Engineering and Construction Management at the University of Wyoming, College of Engineering and Physical Sciences. He holds a Ph.D. from the University of Utah (2012) and has extensive experience in transportation engineering, including roles as Adjunct Assistant Professor (2016–2021) and Research Assistant Professor (2013–2016). His research focuses on traffic operations, intelligent transportation systems, and transportation safety, with expertise in traffic signal systems, connected vehicles, and crash analysis. He is a licensed Professional Engineer (P.E.) in Utah and a Certified Professional Traffic Operations Engineer (PTOE). Education: Ph.D., Civil and Environmental Engineering, University of Utah (2012) M.S., Civil and Environmental Engineering, University of Utah (2009) B.S., Traffic and Transportation Engineering, University of Belgrade (2005) Research Interests: His work emphasizes traffic signal optimization, connected and autonomous vehicle systems, freeway safety, and transportation planning. Key areas include transit signal priority, microsimulation modeling, and crash severity analysis. He has led studies on innovative interchange designs, truck climbing lanes, and motorcycle safety in mountainous regions. Teaching: Courses include Transportation Engineering (CE 3500), Traffic Simulation (CE 4565/5565), and Sustainable Transportation (CE 5700). He integrates advanced simulation tools and real-world data into his curriculum. Labs/Teams: Collaborates on projects involving traffic simulation, connected vehicle technologies, and safety policy development. His work is supported by agencies like the Transportation Research Board and the University of Wyoming.

Bhaven Naikمشاهده پروفایل

دانشیار

• Transportation Engineering
• Highway Safety
• Traffic Simulation Modelling
• +۳ مورد دیگر

Bhaven Naik is an Associate Professor at the Russ College of Engineering and Technology within Ohio University's Department of Civil and Environmental Engineering. His research focuses on transportation systems engineering, highway safety, and pavement analysis. He joined Ohio University in 2014 after roles at the Mid-America Transportation Center and University of Nebraska-Lincoln. Naik holds a Ph.D. (2010), M.S. (2004), and B.S. (2003) in Civil Engineering from the University of Nebraska-Lincoln, along with a Diploma from Copperbelt University (Zambia). His work integrates statistical methods and advanced testing to address transportation challenges, including traffic microsimulation, intelligent transportation systems, and infrastructure sustainability. Key Research Areas : Traffic signal optimization and dilemma zone mitigation Pavement degradation mechanisms and tree canopy impacts Material testing for highway safety barriers and asphalt durability Weather and mobility impacts on transportation systems Smart infrastructure technologies His recent publications emphasize pavement performance under environmental stressors, barrier technology validation, and pandemic-era transportation behavior shifts. Over 30 peer-reviewed articles demonstrate his interdisciplinary approach to solving real-world engineering problems.

Jose Holguin-Verasمشاهده پروفایل

استاد

• Freight Transportation
• Sustainable Freight Policy
• Humanitarian Logistics
• +۳ مورد دیگر

Dr. José Holguín-Veras is the William H. Hart Chair Professor and Director of the Center for Infrastructure, Transportation, and the Environment (CITE) and the Volvo Research and Educational Foundations (VREF) Center of Excellence on Sustainable Urban Freight Systems at Rensselaer Polytechnic Institute. He holds a B.Sc. in Civil Engineering from Universidad Autónoma de Santo Domingo (1981), an M.Sc. from Universidad Central de Venezuela (1984), and a Ph.D. from The University of Texas at Austin (1996). His research integrates multidisciplinary approaches to solve complex challenges in freight transportation and disaster response. Key focus areas include: freight demand modeling (e.g., spatial price equilibrium, freight tour models), sustainable freight policy (e.g., NYC off-hour delivery project reducing emissions by 200+ metric tons/year), and humanitarian logistics (e.g., disaster response frameworks for events like Hurricane Katrina and the Tohoku disasters). His work emphasizes field research, economic principles, and actionable policy outcomes. Recent publications (2024–2025) predominantly explore urban freight optimization, climate-responsible logistics, and behavioral economics in supply chains. Trends include machine learning applications, decarbonization strategies, and consumer-centric delivery solutions. Awards & Honors: 2013 White House Champion of Change Award NSF CAREER Award (2001–2006) Milton Pikarsky Memorial Award (1996) Robert E. Kerker Research Award (2006) Fellowships: State Academy of Public Administration, International Road Federation, JICA, OAS Leadership & Grants: He has secured $13.4M as Principal Investigator (USDOT, NSF, state DOTs) and $10M as Co-PI. Leadership roles include the NY Thruway Authority Board (overseeing the $4B Tappan Zee Bridge project) and the National Academy of Sciences’ Disaster Research Roundtable. Labs & Teams: Directs CITE and VREF’s Center of Excellence, pioneering research in sustainable freight systems and disaster logistics with global implementation (e.g., NYC’s off-hour delivery adopted by FHWA).

• Transportation Engineering
• Traffic Flow Theory
• Dynamic Traffic Assignment
• +۱۰ مورد دیگر

Vittorio Astarita is an Associate Professor in the Department of Civil Engineering at the University of Calabria, Faculty of Engineering, where he teaches courses such as Teoria del Traffico e della Circolazione , Sistemi di Trasporto , Trasporto Merci e Logistica , and Laboratorio di Trasporti . He is actively involved in research, teaching, and leadership of major national and EU-funded projects. His research interests include Traffic Flow Theory , Dynamic Traffic Assignment , Intelligent Transportation Systems (ITS) , Traffic Simulation , Road Safety , and Sustainable Transport Infrastructure . His work integrates advanced modeling techniques, machine learning, and digital twin technologies to improve transportation systems. The recent publications highlight a strong trend toward applying artificial intelligence and data science to transportation safety, crash prediction, fuel efficiency, and smart mobility. Topics such as Support Vector Machines, Learning Vector Quantization, and Digital Twins are central to his current research direction. CNR Research Fellowship (1995–1996) International Research Scholarship, University of Naples Federico II (1997) Lead funding for CNR Project CNRG008430 (2001) Coordinator of €500,000 'Master in Management of Transport' Principal Investigator of PON M2M Project (€4.7 million, €2.75 million to University of Calabria) Astarita has supervised significant research grants and led international collaborations with MIT and the University of Montreal. He has also organized multiple scientific conferences and contributed to editorial processes. He leads the Laboratorio didattico di ingegneria dei trasporti , focusing on teaching and practical training in transport engineering.

Cindy Chenمشاهده پروفایل

دانشیار

• Spatio-temporal Databases
• Data Mining
• Cloud Computing
• +۴ مورد دیگر

Cindy Chen serves as Department Chair and Associate Professor at the Miner School of Computer and Information Sciences within the Kennedy College of Sciences at the University of Massachusetts Lowell. Her academic journey includes a Ph.D. in Computer Science with specialization in Database and Knowledge Base Management from UCLA (2001), an MS in Computer Science from UCLA, and a BS in Space Physics from Peking University. Ph.D.: Computer Science (Database and Knowledge Base Management), University of California at Los Angeles (2001) MS: Computer Science, University of California at Los Angeles BS: Space Physics, Peking University - Beijing, China Her research spans spatio-temporal databases, data mining, cloud computing, and social network analysis. Early work focused on spatio-temporal data models and query languages , evolving into cloud data warehouse optimization and social network mining (particularly online dating behavior), then advancing to high-dimensional indexing , knowledge graph querying , and recent innovations in temporal database granulation using Allan Variance techniques for CAV friction modeling. Current work integrates database systems with autonomous vehicle infrastructure and real-time urban analytics. Her publication timeline reveals a transition from foundational spatio-temporal database systems (1998-2008) to cloud/social applications (2008-2015), then to granulation techniques and CAV systems (2015-present). Key domains include XML databases, skyline queries, social trend discovery, and friction data modeling for autonomous vehicles. Dean's Fellowship (1998) Dean's Fellowship (1999) Dr. Chen has secured significant research funding including the UMASS Transportation Center grant for an Interactive TMC Decision Support Tool (2008) and a UML Healey Grant Award for Spatio-Temporal Knowledge Discovery in Nuclear Physics (2008). Her collaborative projects span transportation systems, nuclear physics applications, and autonomous vehicle infrastructure. She actively advises on database curriculum development and serves as department chair overseeing academic operations.