جستجوی استاد راهنمای دانشگاهی

Suining He is an Assistant Professor at the University of Connecticut (UConn)'s School of Computing, leading the Ubiquitous and Urban Computing Lab since 2019. Previously, he was a postdoctoral research fellow at the University of Michigan's Real-Time Computing Lab (2016–2019). He holds a Ph.D. in Computer Science from the Hong Kong University of Science and Technology (2016) and a B.Eng. in Mechanical Design from Huazhong University of Science and Technology (2012). His research focuses on Cyber-Physical Systems (CPS), Smart & Connected Communities, Human-Centered Computing, and Urban Computing Cyberinfrastructure, with emphasis on mobility, equity, and AI-driven solutions. He has received prestigious awards including the NSF CAREER Award (2023), Google Research Scholar Program Award (2021), and recognition as a Stanford Top 2% Scientist (2020–2024). His work spans interdisciplinary grants from NSF, USDA, Google, NVIDIA, and industry partners. Recent publications explore autonomous driving simulation, equity-aware mobility prediction, and urban crowd activity modeling. Teaching excellence is reflected in his 2020 UConn Provost Award. He advises on reinforcement learning, CPS, and mobile computing, with openings for 2025/2026 PhD students. His lab collaborates on socially-conscious AI, privacy-preserving learning, and location-based services with industrial impact.

• Cyber-Physical Systems
• Smart & Connected Communities
• Human-Centered Computing
• +۱۰ مورد دیگر

Philipp Afeche is a Professor of Operations Management and Statistics at the Rotman School of Management, University of Toronto. His research bridges operations and marketing/economics, focusing on revenue management, pricing strategies, and service design in congestion-prone systems like healthcare and transportation. He holds a BA from the University of St. Gallen and MS/PhD degrees from Stanford University. Afeche has been recognized with the 2014 Best Paper Award (MSOM) and the 2018 Roger Martin Teaching Award. Education: BA, University of St. Gallen, Switzerland MS, Stanford University, USA PhD, Stanford University, USA Research Interests: Afeche explores optimization challenges in dynamic service systems, including pricing under uncertainty, strategic customer behavior in queues, and platform design for shared mobility systems. His work integrates queueing theory, game theory, and empirical analysis to address real-world operational inefficiencies in healthcare delivery and transportation networks. Recent studies focus on ride-hailing market mechanisms and bipartite matching systems. Awards: 2014 Best Paper Award, Manufacturing & Service Operations Management 2018 Roger Martin Award for Excellence in Teaching Grants & Editorial Roles: Editor for Management Science and Operations Research, with funding reviews for agencies in Canada, Hong Kong, Israel, and the US. Past chair of the Service Management SIG for MSOM Society. Labs/Teams: Active in Rotman's Operations Management group and collaborates with industry partners on supply chain optimization and revenue management projects.

• Operations Management
• Revenue Management
• Supply Chain Management
• +۵ مورد دیگر

Yu Nie is a Professor in the Department of Civil and Environmental Engineering at Northwestern University, affiliated with the NU-TREND research group within the McCormick School of Engineering. His work focuses on optimizing transportation networks, integrating human behavior, infrastructure design, and network topology to enhance mobility, reliability, and sustainability. He holds a Ph.D. from the University of California, Davis, an M.S. from the National University of Singapore, and a B.S. (cum laude) from Tsinghua University. His research interests span interdisciplinary approaches combining optimization, network science, traffic flow theory, economics, and statistics. Key areas include congestion pricing strategies, ride-hailing market dynamics, autonomous vehicle integration, and transit system design. He has contributed to studies on dockless bike-sharing systems, ethics-aware transit design, and traffic management in autonomous vehicle zones. Nie’s recent publications (2024–2025) highlight advancements in modular autonomous vehicle systems, co-modal freight solutions, and policy frameworks for sustainable urban mobility. His work often bridges theoretical insights with practical applications, addressing challenges like EV charging chaos and ride-pooling impacts. He received the 2021 Transportation Science Meritorious Service Award for his editorial contributions. His research also explores freight exchange platforms, taxi market resilience during pandemics, and the role of route choice models in transit design. Labs/Teams: Yu Nie is associated with the NU-TREND research group, specializing in innovative transportation solutions through interdisciplinary collaboration.

• Transportation Systems Analysis
• Traffic Engineering
• Sustainable Transportation
• +۳ مورد دیگر

Alejandro Henao is a Researcher in Civil Engineering at the National Renewable Energy Laboratory (NREL), specializing in on-demand mobility systems. His work focuses on optimizing emerging transportation modes, curb management, and performance metrics for mobility and energy efficiency. He has presented extensively at national and international conferences. Current Research Areas: On-demand mobility, ride-sourcing, ride-hailing (e.g., Uber/Lyft), curb management, mobility optimization, energy efficiency metrics Geographic Focus: Texas (Houston, Arlington, Austin), Denver, Colorado Methodologies: Case studies, spatial-temporal modeling, behavioral analysis, policy frameworks His publications and presentations demonstrate a consistent focus on understanding transportation network companies' impacts on urban mobility, vehicle ownership, and energy consumption. Henao also explores sustainable public transport solutions using clean energy technologies. Recent research outputs (2023-2025) emphasize automated and electrified on-demand mobility, curb space allocation optimization, and energy productivity metrics for transit systems. Key trends include integration of renewable energy in transportation, resilience planning for mobility networks, and behavioral responses to shared mobility services. Henao's work combines empirical studies with analytical modeling to provide actionable insights for cities seeking to reduce auto dependence and improve mobility efficiency. His collaborations span academic institutions, municipal governments, and transportation agencies across the United States. At NREL, he leads technical reports and presentations on mobility innovation, focusing on sustainable infrastructure adaptation for evolving transportation needs. His research often involves multi-disciplinary approaches to transportation challenges.

• Transportation Engineering
• Sustainable Transportation
• Urban Mobility Systems
• +۳ مورد دیگر

Matthias Sweet is an Associate Professor and Co-Director of the TransForm Research Laboratory at Toronto Metropolitan University's School of Urban and Regional Planning. He holds a PhD and advanced degrees in related fields. His research focuses on transportation policy, travel behavior, urban economics, and the integration of Big Data/GIS methods into planning practice. Key research interests include the future of mobility (e.g., automated vehicles, telework, and ride-sharing), transportation-land use interactions, and sustainable urban development. He leads applied projects analyzing emerging mobility technologies and their societal impacts. Publications highlight trends in AV adoption, telework geography, and policy implications of shared mobility. His work bridges academic research with practical planning challenges, emphasizing evidence-based strategies for congestion resilience and equitable urban growth. Teaching includes advanced planning theory, transportation policy, and quantitative research methods. Students collaborate in TransForm Lab on projects addressing contemporary urban mobility challenges.

• Transportation Policy
• Travel Behavior
• Transportation-Land Use Dynamics
• +۵ مورد دیگر

Prof. Constantinos Antoniou is a Full Professor in the Chair of Transportation Systems Engineering at the Technical University of Munich (TUM), part of the TUM School of Engineering and Design. He holds a Diploma in Civil Engineering from the National Technical University of Athens (1995), an MS in Transportation (1997), and a PhD in Transportation Systems (2004) from MIT. His research focuses on transportation systems engineering, including modeling/simulation, intelligent transport systems (ITS), behavioral economics in transport, road safety, and sustainable transport systems. He has authored over 500 scientific publications, including over 210 peer-reviewed journal papers, and serves as Co-Editor-in-Chief of Transportation Research Part A . Awards include the Francquis Chair (2023), IEEE ITS Outstanding Application Award (2011), and Marie Curie Fellowship (2006–2008). He has secured over €4M in third-party funding, leading projects such as SCUDO, CulturalRoad, and PHOEBE. Currently supervising 17 PhD students, he has mentored seven graduates who now hold academic positions at institutions like UCL and UPC. Research interests span autonomous vehicles, traffic resilience, and policy-driven transport solutions. Key projects include analyzing urban air mobility, MaaS potential, and pandemic impact on transport networks. His work contributes to UN Sustainable Development Goals, emphasizing sustainable cities and communities.

• Transportation Systems Engineering
• Intelligent Transport Systems (ITS)
• Behavioral Economics in Transport
• +۵ مورد دیگر

Hans Sebastian Heese is the Owens Distinguished Professor of Supply Chain Management and Department Head at the Poole College of Management , North Carolina State University. He holds a joint position in Operations and Supply Chain Management, focusing on improving operational efficiency and resolving conflicts in decentralized systems. Prior to NC State, he served as Dean at EBS Business School in Germany, where he also directed the Institute for Supply Chain Management. His academic career includes faculty roles at Indiana University’s Kelley School of Business. His research explores supply chain efficiency, conflict resolution in decentralized systems, and strategic decision-making under uncertainty. Notable areas include automotive supply chains, healthcare operations, and sustainable practices. He has published widely in top-tier journals, addressing topics like surge pricing dynamics, generic drug shortages, and conflict mineral regulation. Prof. Heese’s work bridges theoretical and practical challenges in operations management, with applications to manufacturing, healthcare, and platform economies. His endowed professorship underscores recognition of his contributions to advancing supply chain theory and practice.

• Supply Chain Management
• Operations Systems Efficiency
• Decentralized Supply Chains
• +۴ مورد دیگر

Nejc Geržinič is a PostDoc researcher at Delft University of Technology in the Transport, Mobility and Logistics department within the Civil Engineering & Geosciences school. His research focuses on travel behavior, particularly examining the integration of new mobility services with traditional public transport systems and investigating sustainable mobility solutions through innovative approaches like tradeable mobility credits. Dr. Geržinič completed his PhD at TU Delft between 2019 and 2023, with research focusing on the impact of on-demand mobility and its interaction with public transport, as well as long-distance international travel behaviour. His doctoral work contributed significantly to the CriticalMaaS project, which developed comprehensive frameworks for Mobility as a Service systems. Geržinič's research spans several critical areas in contemporary transportation studies. His work primarily investigates travel behaviour with a focus on how new mobility options like on-demand services and micromobility integrate with traditional public transport systems. He employs advanced choice modelling techniques to understand passenger decisions, particularly regarding access/egress trips in train travel chains and the potential of tradeable mobility credits systems. His research contributes significantly to the fields of sustainable transport and modal shift , aiming to develop more efficient and environmentally friendly urban mobility solutions. His expertise aligns with UN Sustainable Development Goals related to sustainable cities and communities. Analysis of Geržinič's publication record reveals a strong progression from foundational work on on-demand mobility services toward more sophisticated modeling of travel behavior and innovative mobility concepts. His recent 2025 publications indicate an expanding research agenda that now includes examining barriers to micromobility adoption through latent class analysis and exploring the potential of microtransit for regional commuting patterns. His work consistently examines how new mobility services can serve as effective first/last mile connectors for train stations, potentially increasing overall public transport usage while reducing private vehicle dependency. Dr. Geržinič has been actively engaged in disseminating his research through multiple media channels, with documented media contributions each year from 2019 to 2023. His presentations at workshops and conferences have addressed critical topics including the role of on-demand services in urban mobility mixes and the market potential of pooled mobility services. As part of the CriticalMaaS project (2019-2023), Geržinič collaborated with a multidisciplinary team including O. Cats, N. van Oort, and S.P. Hoogendoorn. His current postdoctoral research continues to explore innovative mobility concepts, particularly focusing on access/egress trips in train travel chains and travel behaviour in systems with tradeable mobility credits. His research outputs include 16 publications, 7 datasets, and numerous academic activities, demonstrating consistent productivity and contribution to the transportation research community.

• Travel behaviour
• Public transport
• Micromobility
• +۷ مورد دیگر

Qi Luo is an Assistant Professor in the Department of Business Analytics at Tippie College of Business, University of Iowa. His research focuses on developing data-driven decision-making models in supply chain management, emerging mobility services, and healthcare systems, alongside designing efficient algorithms for online learning, dynamic games, and nonlinear optimization. Education: While specific educational background details are not provided in the text, Dr. Luo's extensive research portfolio and academic position suggest advanced training in operations research, business analytics, or related quantitative fields. Research Interests: Core Areas: Data-driven decision making, supply chain optimization, urban transportation systems, healthcare operations Methodological Focus: Online learning algorithms, dynamic game theory, stochastic optimization, nonlinear programming Application Domains: Emerging mobility services (ride-sharing, autonomous vehicles), multimodal transit systems, inventory management with fixed costs, clinical trial optimization Research Impact: Dr. Luo's work spans from theoretical algorithmic developments to practical applications in transportation and healthcare. His publications demonstrate a consistent focus on solving real-world problems through advanced optimization techniques, with particular emphasis on stochastic modeling and learning-based approaches. The research addresses critical challenges in modern transportation systems including ride-pooling, multimodal transit, and autonomous vehicle operations, as well as healthcare applications like clinical trial design and robotic surgery optimization. Scientific Recognition: TRB Kikuchi-Karlaftis Best Paper Award INFORMS APS Best Student Paper (finalist) IEEE I-Sim Best Student Paper Award Research Funding & Support: Principal Investigator: "Early-Stage Clinical Trials with Patient Choice" - National Science Foundation (NSF), funded June 2023 - August 2026 ($XXX,XXX) Investigator: "Exploring Passenger-Parcel Comodality Transportation in Rural Regions" - Tippie College of Business, funded March 2025 - February 2026 Professional Affiliations: Dr. Luo maintains active memberships in leading professional organizations including the Association for Computing Machinery (ACM) since 2020, Institute of Electrical and Electronics Engineers (IEEE) since 2019, and Institute for Operations Research and the Management Sciences (INFORMS) since 2015.

• Supply Chain Management
• Urban Transportation
• Emerging Mobility Services
• +۸ مورد دیگر

Robert Schürhuber serves as a Professor at the Institute of Electrical Systems and Networks (IEAN) at Graz University of Technology, Austria. His research focuses on power system stability, renewable integration challenges, and advanced converter technologies critical for modern grid operations. His primary research areas include Power Systems , Renewable Energy Integration , Grid Stability , and Electrical Safety . He investigates grid-forming/grid-following converter dynamics, fault ride-through capabilities, and transient stability in high-renewable penetration scenarios. His work frequently employs Power Hardware-in-the-Loop (PHIL) methodologies and field measurements to validate theoretical models under real-world conditions. Analysis of his 2024-2025 publications reveals dominant trends in grid-forming converter optimization, short-circuit fault management, and reactive power control strategies. Key thematic clusters include PHIL testing protocols, regional islanding phenomena, and earthing system safety in medium-voltage networks—particularly relevant for DC charging infrastructure and swimming pool environments. Professor Schürhuber leads the IEAN laboratory's Power Hardware-in-the-Loop facility and directs the ProSafE² project focused on periodic verification of DC electric vehicle charging stations. His applied research bridges theoretical power system analysis with practical safety standards for emerging grid technologies.

• Power Systems
• Renewable Energy Integration
• Grid Stability
• +۳ مورد دیگر

Assoc Prof Shuangchi He is affiliated with the Industrial Systems Engineering and Management Department at the National University of Singapore. His research focuses on operations research, stochastic modeling, queueing systems, and their applications in healthcare, transportation, and communications engineering. He holds a PhD from Georgia Institute of Technology (2011). Research interests include queueing design for service systems, diffusion approximations, patient scheduling optimization, and electric vehicle-sharing network analysis. His work bridges theoretical stochastic analysis with practical applications in logistics, healthcare management, and wireless communication systems. Recent publications highlight advancements in randomized routing strategies, on-demand ride-matching algorithms, and inpatient bed assignment models. His contributions to many-server queueing theory and doubly-selective channel estimation demonstrate expertise in both operations research and signal processing domains. Prof He collaborates on topics such as inventory management policies and MIMO channel estimation techniques, reflecting his interdisciplinary approach to solving complex system-level problems.

• Operations Research
• Queueing Systems
• Stochastic Modeling
• +۵ مورد دیگر

Dr. Joseph Chow is an Institute Associate Professor in the Department of Civil and Urban Engineering at New York University (NYU) Tandon School of Engineering. He serves as the Deputy Director of C2SMARTER , a U.S. Department of Transportation Tier-1 University Transportation Center, and leads the BUILT@NYU (Behavioral Urban Informatics, Logistics, and Transport) laboratory. His research focuses on transportation systems with emphasis on multimodal networks , behavioral urban logistics , smart cities , and transport economics . PhD in Transportation Engineering from University of California, Irvine (2010) M.Eng. and B.S. in Civil Engineering from Cornell University (2001, 2000) Dr. Chow's research integrates operations research and agent-based modeling to address urban mobility challenges. He has developed equity-aware decision support tools using synthetic population data to evaluate transportation investments, and pioneered modular vehicle (MV) routing algorithms for energy-efficient transit systems. His work spans microtransit optimization , e-scooter deployment , and EV charging infrastructure planning . His article trends reveal expertise in stochastic optimization for ride-pooling systems , synthetic data modeling for equity analysis , and reinforcement learning applications in urban logistics . Key methodologies include MILP routing models , deep real options analysis , and multi-agent simulations . NSF CAREER Award (2017-2022) Canada Research Chair (2013-2016) Eisenhower Fellow and Eno Fellow Dr. Chow has secured NSF grants for urban transport network design , NSERC funding for smart logistics systems , and USDOT support for C2SMARTER research. He serves as Associate Editor for International Journal of Transportation Science & Technology and Transportation Research Record .

• Transportation Systems
• Multimodal Networks
• Behavioral Urban Logistics
• +۷ مورد دیگر

Dr. Lisa Ruhrort is a researcher in the field of sustainable mobility and transport policy at the Technical University of Berlin , affiliated with the Humanities and Educational Sciences school. Her work bridges social science perspectives with practical transport policy strategies. Research Interests : Transport policy strategies for sustainable mobility Mobility transitions as social transformation processes Integration of sociological and psychological perspectives in mobility behavior Regulation of digital mobility services Shared mobility systems (carsharing, ride-pooling) Publication Trends : Her recent work focuses on analyzing behavioral patterns in sustainable mobility adoption, regulatory challenges for digital transport services, and the socio-technical dimensions of transport innovation. She frequently collaborates with institutions like WZB Berlin Social Science Center. Projects : Leads the MoveMe junior research group (2019-2024) funded by the Federal Ministry of Education and Research, examining socio-spatial transformations in mobility behavior.

• Transport Policy
• Sustainable Mobility
• Social Science of Mobility
• +۲ مورد دیگر

Sharon Di: Academic Overview Sharon Di is an Associate Professor in the Department of Civil Engineering and Engineering Mechanics at Columbia University. She holds affiliations with the Data Science Institute (DSI), serving as Co-Chair of the Smart Cities initiative. Her research bridges theoretical frameworks with practical applications in transportation systems, leveraging emerging technologies like AI, data analytics, and cyber-physical systems to enhance infrastructure resilience and urban mobility efficiency. Research Focus: Di's work emphasizes travel behavior analysis during disruptions (e.g., natural disasters), optimization of traffic networks, and the integration of autonomous vehicles and ride-sharing services. Her methodologies include game theory, reinforcement learning, and physics-informed deep learning applied to large-scale sensor data. Recent projects explore digital twins for urban planning and causal inference in transportation decision-making. Key Contributions: Di has pioneered frameworks for adaptive traffic signal control, resilient infrastructure design, and multimodal mobility modeling. Her lab, DitectLab ( website ), develops AI-driven solutions for smart cities, with applications in real-time traffic management and safety optimization. She also serves on the Center for Smart Cities committee within Columbia's Data Science Institute.

• Transportation Systems
• Data Analytics
• Machine Learning
• +۵ مورد دیگر

Asuka Ohsawa is a part-time lecturer at the School of the Museum of Fine Arts (SMFA) at Tufts University. A visual storyteller specializing in printmaking, artist books, and drawing, her work merges popular culture, found images, and comics to explore personal narratives. BFA from California State University, Long Beach MFA from SMFA at Tufts University Former assistant professor and printmaking department chair at San Francisco Art Institute (2014-2018) Her research interests focus on the intersection of mathematics and art through geometric patterns, particularly inspired by traditional Japanese Uroko textile design . She extensively uses public domain materials and explores urban ecology themes through zines like the Pigeon Confidential series. Recent projects demonstrate a strong engagement with grid-based pattern systems (2025's work in progress), collaborative book arts (2024's exhibition piece), and science communication through visual media (2023-2022 publications). Her work has been featured in international exhibitions including the 32nd Graphic Arts Biennale in Slovenia. Notable grants include the Daynard Microgrants for Collaborations in Racial Justice (2021) and SVA RisoLAB support (2019). She actively collaborates with printers like Carolyn Muskat (Muskat Studios) and craftsmen like John Medley (wooden toy production). Her artistic practice incorporates multiple printmaking techniques including pochoir , letterpress , and laser-cut linoleum . She maintains a strong connection to both Japanese cultural roots and Bay Area creative networks , with works held in collections at the Center for Book Arts in NYC and Emily Carr University in Vancouver.

• Printmaking
• Artist's Books
• Graphic Arts
• +۷ مورد دیگر