جستجوی استاد راهنمای دانشگاهی

Jiaxuan Youمشاهده پروفایل

استادیار

• Graph Neural Networks
• Relational Data
• Machine Learning Systems
• +۹ مورد دیگر

Jiaxuan You is an Assistant Professor at the Siebel School of Computing and Data Science, University of Illinois at Urbana-Champaign, leading the U Lab focused on achieving Artificial General Intelligence (AGI) in digital environments. His research spans graph neural networks (GNNs), relational data, foundation models, and machine learning systems. PhD and MS in Computer Science from Stanford University (2021) Developed GraphGym and PyTorch Geometric (PyG) for graph learning Core member at Kumo AI (2021-2023) His research explores: Graph-enhanced LLMs: Integrating relational structures into foundation models AGI Development: Self-optimizing AI agents and tool utilization ML Systems: Scalable architectures and redundancy-free computation Interdisciplinary Applications: Financial networks, crop yield prediction, and metro systems Recent publications focus on temporal reasoning, multi-agent dynamics, and hybrid architectures for LLMs. He actively develops open-source tools like DBGYM and GraphRouter. Scientific recognition includes: JPMC PhD Fellowship Baidu Scholarship Best Student Paper at AAAI 2017 World Bank Big Data Innovation Challenge winner He mentors PhD and intern students, emphasizing machine learning systems expertise. His lab collaborates on AGI workshops (e.g., ICLR 2024) and industry projects.

Steven I-Jy Chienمشاهده پروفایل

استاد

• Transportation Engineering
• Urban Rail Transit
• Sustainable Transportation Systems
• +۴ مورد دیگر

Steven I-Jy Chien serves as Professor and Director of the Transportation Program within the Department of Civil and Environmental Engineering at the New Jersey Institute of Technology (NJIT). His career spans academia, government, and industry with significant contributions to transportation engineering research and practice. His educational credentials include: Ph.D. in Civil and Environmental Engineering from University of Maryland-College Park (1995) M.S. in Civil and Environmental Engineering from University of Maryland-College Park (1991) B.S. in Civil Engineering from Tamkang University (1983) Professor Chien's research focuses on transportation system resilience, sustainable transit operations, and advanced traffic modeling. His work addresses critical challenges in urban rail networks, demand-responsive transit services, and energy-efficient transportation systems. He employs sophisticated computational methods including genetic algorithms, machine learning, and Bayesian approaches to solve complex transportation problems involving network vulnerability, passenger behavior, and infrastructure optimization under uncertainty. Analysis of his recent publications reveals strong emphasis on transportation resilience against cascading failures, sustainable operations for electric transit systems, and pandemic-responsive aviation scheduling. His research spans diverse geographic contexts including major Chinese metropolitan areas and U.S. transportation networks, demonstrating global applicability of his methodologies. His professional recognition includes: 2024 Keynote Speaker at Union-Tech Lecture, National Taiwan Ocean University 2022 Keynote Speaker at International Conference of Chinese Institute of Transportation 2022 Best Poster Award from New Jersey Department of Transportation Professor Chien has secured research funding from federal agencies including the Federal Highway Administration (FHWA) where he contributed to CORSIM traffic simulation software development. His industry experience with China Engineering Consultants Inc. and Information Dynamic Inc. informs his practical approach to transportation challenges. As Transportation Program Director, he oversees curriculum development and industry partnerships that prepare students for transportation sector careers. He maintains active collaboration with transportation agencies globally, particularly through his leadership in the Transportation Program at NJIT which serves as a hub for innovation in urban mobility solutions.

Elisabeth R. Gerberمشاهده پروفایل

استاد

• Regionalism
• Intergovernmental Cooperation
• Sustainable Development
• +۶ مورد دیگر

Elisabeth R. Gerber serves as the Jack L. Walker, Jr. Professor of Public Policy at the University of Michigan's Gerald R. Ford School of Public Policy, where she also holds a courtesy appointment as Professor of Political Science and serves as inaugural Faculty Director of the Online Master of Public Affairs program launching in January 2026. She is a Faculty Associate at the Center for Political Studies, Institute for Social Research. Her educational background includes a PhD (1991) and MA (1989) in political science, and a BA (1986) in political science and economics—all from the University of Michigan, with her undergraduate degree earned with High Honors and High Distinction. Gerber's research examines regional governance structures through lenses of intergovernmental cooperation, sustainable development, and urban climate adaptation. Her work analyzes transportation policy, community-economic development linkages, and mechanisms for enhancing local fiscal capacity and political accountability in metropolitan contexts. She investigates how institutional design influences policy outcomes across fragmented governance landscapes. Her publication portfolio demonstrates consistent focus on urban political economy, with recurring themes of institutional incentives in transportation policy, mayoral leadership effects, and cooperative governance models. These works bridge political science, public administration, and urban studies through empirical analysis of regional planning and intergovernmental dynamics. No scientific awards were documented in the provided materials. Gerber co-leads the Detroit Metro Area Communities Study (DMACS), a longitudinal public opinion survey of Detroit residents, and founded ViewPoint—a software platform for educational role-play simulations. She actively contributes to Poverty Solutions, the Center for Local, State, and Urban Policy (CLOSUP), and the Program in Practical Policy Engagement (P3E), leveraging interdisciplinary approaches to address urban governance challenges.

• Railway Noise and Vibration
• Acoustic Engineering
• Structural Dynamics
• +۳ مورد دیگر

Professor David Thompson is a globally recognized expert in railway noise and vibration reduction at the University of Southampton's Institute of Sound and Vibration Research (ISVR). He holds a part-time role in ISVR Consulting while continuing full-time research. His research focuses on low-noise railway design, ground vibration control, and aerodynamic noise from high-speed trains. He leads collaborative EU projects and advises industry partners. David earned his MA and PhD from the University of Cambridge and the ISVR, respectively. His career includes roles at British Rail Research and TNO in the Netherlands, where he developed the influential TWINS rolling noise model. He has authored over 250 papers and a seminal textbook translated into Chinese, with a second edition in 2024. Awards include the 2018 Rayleigh Medal for outstanding contributions to acoustics. Research Highlights: Modelling noise sources (rolling, aerodynamic, curve squeal), vehicle interior noise transmission, and ground-borne vibration. Collaborations: Partnerships with EU initiatives, Korean Railroad Research Institute, and Chinese universities. Teaching: Courses on noise control engineering, railway systems, and acoustic design. His work bridges theoretical models with practical solutions, aiming to reduce railway noise through innovative designs and mitigation strategies.

• Environmental Engineering
• Urban Sustainability
• Industrial Ecology
• +۳ مورد دیگر

Hua Cai is the Thomas and Jane Schmidt Rising Star Associate Professor at Purdue University's Edwardson School of Industrial Engineering with a joint appointment in Environmental & Ecological Engineering. She holds a PhD in Environmental Engineering & Natural Resources from the University of Michigan, an MS in Environmental Engineering from Penn State, and a BS from Tsinghua University. Her research integrates operations research and production systems to address sustainability challenges, with focus areas including: Environmental implications of emerging technologies Urban sustainability modeling and infrastructure resilience Industrial ecology and complex adaptive systems Sustainable transportation and mobility systems Recent publications demonstrate strong focus on sustainable transportation systems, with extensive analysis of shared mobility patterns (bike/e-scooter systems), autonomous vehicle impacts, and microgrid resilience. Her work consistently applies advanced computational methods including reinforcement learning, agent-based modeling, and spatiotemporal analysis to urban sustainability challenges. Dr. Cai has received recognition including the Thomas and Jane Schmidt Rising Star Professorship for her contributions to sustainable systems engineering. She leads research on renewable energy integration in transportation infrastructure and advises projects on climate-resilient urban systems.

Andrea Fumagalliمشاهده پروفایل

استاد

• Optical Networking
• Photonic Slot Routing
• Wavelength Routing and Protection
• +۷ مورد دیگر

Andrea Fumagalli is a Professor in the Department of Electrical Engineering at the Erik Jonsson School of Engineering and Computer Science , The University of Texas at Dallas. He earned his Ph.D. (1992) and Laurea (1987) in Electrical Engineering from Politecnico di Torino, Italy. Research Interests: All-Optical Network Architectures, Photonic Slot Routing, Wavelength Routing and Protection, Sensor Networks, Cooperative Wireless Networks, Network Optimization, Next Generation Internet (NGI), and Multi-hop Optical Networks. Education: Ph.D., Electrical Engineering, Politecnico di Torino (1992) Laurea, Electrical Engineering, Politecnico di Torino (1987) Key Research Trends: His recent publications focus on 5G networking, optical network automation, elastic optical networks, network reliability, and cross-layer optimization. He explores FPGA acceleration in 5G Low-PHY functions, live migration of containerized network components, and spectral fragmentation mitigation in EONs. Scientific Awards: Best Teaching Award, Electrical Engineering, UTD (2002) Best Thesis Award for Ph.D. Advisee Isabella Cerutti (2002) IEEE ComSoc Distinguished Lecturer Tour (2000) Best Paper Award (1999): 'An Optimal Design Algorithm for Photonic Slot Routing Networks Migrating to Optical Packet Switching' Advising and Grants: He advised Ph.D. student Isabella Cerutti. In 2001, he secured a $300,000 grant from FUNDACAO CPqD for optical network reliability research. He leads the Optical Networking Advanced Research (OpNeAR) Lab at UTD, collaborating on international projects like the Italian government-funded grid computing initiative (2002) and the OMEGA Test-bed for differentiated reliability. Laboratories and Teams: He directs the OpNeAR Lab , which develops tools for optical network emulation and reliability testing. His projects involve partnerships with institutions in Brazil (Unicamp), Sweden (KTH), Italy (Politecnico di Torino, Scuola Superiore Sant'Anna), and CNR/CNIT.

• Geotechnical Engineering
• Seismic Analysis
• Soil Mechanics
• +۳ مورد دیگر

Youssef M A Hashash is the W. W. Grainger Chair and Professor in the Department of Civil and Environmental Engineering at the University of Illinois. His research focuses on geotechnical and earthquake engineering, with emphasis on seismic site response analysis, soil-structure interaction, and advanced computational methods like the Discrete Element Method (DEM). He has led projects on infrastructure resilience, including studies of buried water reservoirs, railway systems, and post-earthquake reconnaissance. Hashash has developed influential models for site amplification in Central and Eastern North America, contributing to seismic hazard assessments. His work integrates experimental centrifuge testing, numerical simulations, and field data. Notable contributions include guidelines for implementing NGA-East ground motion models and advancements in pore-water pressure generation models for liquefaction evaluation. Key Research Areas: Ground movement, seismic response, soil dynamics, and geotechnical data systems Major Projects: NGA-East Geotechnical Working Group, Beirut Explosion Analysis, and LA Metro Tunnel Projects Recipient of prestigious awards including the NAE Membership (2022), PECASE (2000), and Walter L. Huber Prize (2006), he collaborates internationally on earthquake engineering and geotechnical innovations. His lab develops tools like the DEEPSOIL software for nonlinear site response analysis and explores AI applications in geotechnical data interpretation.

Dubravko Radicمشاهده پروفایل

استاد

• Service Management
• Price Management
• Applied Microeconometrics
• +۵ مورد دیگر

Dubravko Radic serves as Professor of Service Management at the University of Leipzig's Faculty of Business and Economics since 2009, while simultaneously holding the position of Deputy Head of the Price and Service Management group at the Fraunhofer Center for International Management and Knowledge Economics IMW since 2013. His academic career spans multiple institutions including the University of Wuppertal where he completed his habilitation, and the University of Frankfurt am Main where he earned his doctorate in statistics and econometrics. Doctorate (Dr. rer. pol. summa cum laude): Johann Wolfgang Goethe-Universität Frankfurt a.M. (2004) Habilitation: Bergische Universität Wuppertal (2009) Diplom-Volkswirt: Johann Wolfgang Goethe-Universität Frankfurt a.M. (1999) Research Stay: University of California Davis (2008) Professor Radic's research centers on the intersection of empirical methods and business management, with particular emphasis on service pricing modeling, applied microeconometrics, and social interactions in service contexts. His work bridges theoretical econometric approaches with practical business applications, especially in the healthcare sector where he has led multiple Fraunhofer IMW projects including ASARob, NurMut, and ATMoSPHÄRE. His research methodology combines quantitative modeling with real-world case studies to address strategic and operational decisions in service organizations. His recent publications demonstrate a consistent focus on discrete choice modeling, game theory applications in marketing, and service innovation frameworks. The 2025 paper "Discrete Games in Marketing Research" presented at the Global Marketing Conference in Hong Kong exemplifies his approach of applying advanced econometric techniques to practical marketing problems, particularly in digital service contexts. His work shows an evolving trajectory from foundational service management concepts toward increasingly sophisticated modeling of strategic interactions in service markets. Professor Radic has extensive experience advising major corporations including Metro AG, Lilly Deutschland, IMS Health, Berlin Chemie, and Augustinum gGmbH. His practical projects at Fraunhofer IMW focus on translating academic research into actionable business solutions, particularly in healthcare digitization and service innovation. He has led the TRAIN@MINE project developing training tools for Vietnam's mining sector and contributed to studies on Big Data applications in health insurance. At the University of Leipzig, he leads research activities through the Institute for Service and Relationship Management, supervising multiple research projects that connect academic inquiry with industry applications. His team collaborates with international partners including the University of California Davis, University of Maryland, Northwestern University, and the Technion Israel Institute of Technology, creating a robust research ecosystem focused on service management innovation.

Yue Liمشاهده پروفایل

استاد

• Resilient Civil Infrastructure
• Structural Reliability
• Risk Assessment
• +۳ مورد دیگر

Yue Li is the Leonard Case Jr. Professor in the Department of Civil and Environmental Engineering at Case Western Reserve University. He specializes in resilient and sustainable infrastructure systems, focusing on structural reliability, probabilistic design, and climate change adaptation. His research addresses risk assessment for infrastructure under extreme events, including earthquakes, hurricanes, and climate impacts. Education: PhD in Civil Engineering, Georgia Institute of Technology, 2005 Research Interests: Dr. Li’s work integrates advanced statistical methods and data-driven approaches to enhance infrastructure resilience. Key areas include: Probabilistic modeling of structural systems Risk-informed decision-making for multi-hazard mitigation Climate change impacts on material durability and performance Asset management and lifecycle cost analysis Notable Contributions: His recent publications emphasize data-driven resilience metrics for water systems and seismic risk assessment for bridges. He has pioneered frameworks for evaluating infrastructure vulnerability under climate change, including corrosion effects and extreme weather adaptation. Awards: ABSE Outstanding Paper Award (2023) Case School of Engineering Teaching Award (2020) Nomination for John S. Diekhoff Award (2019) Leadership Roles: Dr. Li serves as Section Editor for the ASCE Journal of Structural Engineering and chairs multiple technical committees on safety and reliability. He leads initiatives to standardize multi-hazard design practices and resilience evaluation methodologies.

• Geotechnical Engineering
• Earthquake Engineering
• Soil-Structure Interaction
• +۳ مورد دیگر

Dr. Lecturer Sevinç Ünsal Oral is affiliated with Başkent University as a faculty member in the Department of Civil Engineering. She holds a PhD (2013), Master's (2009), and BSc (2006) in Civil Engineering from Middle East Technical University. Specializes in geotechnical engineering and earthquake engineering Active in seismic hazard analysis and soil-structure interaction Her research focuses on liquefaction assessment, landslide modeling, and seismic performance of infrastructure. Articles highlight work on geothermal facilities, dams, and airport structures. Scientific contributions include numerical modeling frameworks for earthquake-induced geohazards. She serves as a thesis advisor for graduate students and participates in projects related to UN Sustainable Development Goals.

• Geotechnics
• Numerical Simulations
• Bayesian Inference
• +۴ مورد دیگر

Stéphane Commend is an Associate HES Professor at the Fribourg School of Engineering and Architecture (HEIA-FR) under HES-SO Valais-Wallis. He also holds a lecturer role at the School of Engineering and Management of the Canton of Vaud. His primary research focuses on geotechnics, numerical simulations, and probabilistic modeling applied to infrastructure projects like tunneling and deep excavations. Education and affiliations include roles across multiple HES-SO institutions, with a strong emphasis on integrating advanced computational methods into geotechnical engineering. Notable projects include the Grand Paris Express tunnel project, Bayesian inference for wood constitutive modeling, and probabilistic risk analysis for urban construction. Research interests span soil-structure interaction, finite element modeling, and uncertainty quantification. Recent work emphasizes Bayesian methods for parameter calibration, machine learning in excavation design, and natural hazard vulnerability assessment. Key contributions include frameworks linking ZSOIL and UQLab for reliability analysis, and prototypes like SLIDE-PM for mudflow impact modeling. Current projects (e.g., iBAG and OptiSoil) focus on optimizing construction methods using AI and data-driven approaches. He leads collaborative teams across HES-SO institutes and academic partners like EPFL and CETU. Key Projects: iBAG Project (2022–2025): Bayesian methods in geotechnics OptiSoil (2019–2025): Machine learning for excavation design TULIP Project: TBM-pile interaction probabilistic analysis

Tommaso Schettiniمشاهده پروفایل

استادیار

• Electric Vehicle Charger Location
• Public Transit
• Metro Timetabling
• +۴ مورد دیگر

Dr. Tommaso Schettini is an Assistant Professor in the Department of Mechanical, Industrial and Aerospace Engineering at Concordia University. His research focuses on transportation systems optimization, including electric vehicle charger location, metro timetabling, and demand-driven scheduling strategies. He holds an ORCID identifier (0000-0003-2578-1539) and supervises Master's and PhD students in Industrial Engineering. His work integrates operations research techniques like Benders decomposition and metaheuristics to solve real-world transportation and manufacturing challenges. Research Areas: Electric Vehicle Infrastructure Planning, Metro Timetabling Strategies, Integer Programming, Discrete Simulation-based Optimization, and Combinatorial Optimization. Notable contributions include developing pattern-based algorithms for short-turning metro lines and optimizing micro-mobility integration with public transit. His articles span 2016–2024, emphasizing demand-driven approaches in transportation and manufacturing systems.

Matthew V. Bilskieمشاهده پروفایل

استادیار

• Hurricane storm surge modeling
• Coastal flood forecasting
• Compound flood assessment
• +۴ مورد دیگر

Matthew V. Bilskie is an Assistant Professor at the University of Georgia's School of Environmental, Civil, Agricultural & Mechanical Engineering. His research focuses on coastal hydrodynamics, storm surge modeling, and nature-based solutions for flood mitigation. He leads the Coastal Ocean Analysis and Simulation Team (COAST), which develops computational models to simulate coastal processes. Key areas include hurricane impacts, compound flooding, and ecosystem resilience. Dr. Bilskie's work integrates engineering, ecology, and policy to address climate change challenges. He has collaborated on projects assessing flood vulnerability, barrier island dynamics, and the effectiveness of natural features like wetlands and oyster reefs. His team produces tools for decision-makers, including real-time forecasting systems and inundation maps. Key Projects: Compound Flood Manual of Practice, ASCE guidelines, Savannah flood vulnerability mapping Research Themes: Coastal resilience, climate adaptation, interdisciplinary modeling Tools Developed: PyVF (LiDAR analysis), COAMPS-TC ensemble models He holds a Ph.D. and has published extensively on topics like marsh attenuation, levee setbacks, and socio-economic flood risk assessments in coastal regions.

Lyesse Lalouiمشاهده پروفایل

استاد

• Environmental Geomechanics
• Geotechnical Engineering
• Mechanics of Multiphase Porous Materials
• +۲ مورد دیگر

Lyesse Laloui is Full Professor and Director of the Soil Mechanics Laboratory at EPFL's School of Architecture, Civil and Environmental Engineering. A world-renowned expert in geomechanics and sustainability, his research develops nature-inspired solutions for climate change mitigation and renewable energy adoption. His distinguished career includes ERC Advanced and Proof of Concept Grants, two honoris causa doctorates, and leadership roles in Academia Europaea and International Society of Soil Mechanics. Research focuses on: Thermo-hydro-mechanical behavior of energy geostructures Bio-inspired geotechnical solutions for soil improvement Radioactive waste repository safety CO₂ sequestration caprock integrity Urban underground space utilization Recent publications demonstrate innovations in geothermal metro station design, shale behavior characterization for energy applications, and bio-mediated soil stabilization. His laboratory has supervised over 35 PhD graduates now advancing geotechnical engineering globally. Professor Laloui founded 5 EPFL spin-offs including Enerdrape (Swiss Top 100 startup) and serves as European Director of the International Associated Research Centers for Urban Underground Space. His awards include the ASCE Kersten Lecture and InterPore Kimberly-Clark Distinguished Lectureship.

• Transport Policy
• Road Safety
• Traffic Psychology
• +۵ مورد دیگر

Professor Wafaa Saleh is affiliated with Edinburgh Napier University , where she contributes to the School of Computing Engineering and the Built Environment . Her research spans Transport Policy , Pedestrian Safety , and Travel Demand Management , with a focus on sustainable mobility and behavioral impacts of technology on road safety. Research Interests : Transportation sustainability, pedestrian behavior at junctions, motorcycle emissions, congestion pricing, and AI applications in transportation. Advisees : Supervised students in studies involving road safety in Qatar, bus passenger discomfort analysis, and mode choice modeling using behavioral theories. Grants & Projects include funding from the European Commission for gender inclusion in transport systems, the Qatar National Research Fund , and Tabuk University for Saudi Arabian transport behavior studies. Key publications address helmet compliance , pedestrian red-light violations , and congestion charging impacts . Collaborations span institutions in Taiwan, Saudi Arabia, and the UK, with work featured in journals like Transportation Research Part A and Accident Analysis and Prevention . Her Transport Research Innovation Centre involvement highlights interdisciplinary approaches to road safety and emissions reduction.