جست‌وجوی استاد و پژوهشگر

Konrad Schindlerمشاهده پروفایل

استاد

• Photogrammetry
• Remote Sensing
• Computer Vision
• +۳ مورد دیگر

Prof. Konrad Schindler holds the position of Full Professor at the Department of Civil, Environmental and Geomatic Engineering at ETH Zürich. He is also the Head of the Institute of Geodesy and Photogrammetry (IGP), leading research and educational activities in geomatics and computer vision. His career spans roles as a Photogrammetric Engineer, scientific assistant, postdoc researcher, and academic faculty across institutions including Graz University of Technology, Monash University, and TU Darmstadt before joining ETH Zürich in 2010. Education: Undergraduate studies in Geodesy (1992–1995), Graz University of Technology, Austria MEng in Photogrammetry and Geoinformation (1995–1999), Vienna University of Technology, Austria PhD in Computer Science (2001–2003), Graz University of Technology, Austria Research focuses on Photogrammetry , Remote Sensing , Computer Vision , and Image Understanding with interdisciplinary applications in environmental monitoring, geospatial analysis, and disaster response. He develops computational methods for 3D reconstruction, fusion of multi-modal data, and AI-driven solutions for satellite imagery interpretation. His work bridges geomatic engineering and machine learning to address challenges in urban mapping, climate modeling, and biological systems analysis. Publications reflect expertise in geospatial AI, diffusion models, and benchmarking datasets for disaster resilience. Notable works include Marigold (image analysis adaptation) and BRIGHT (building damage assessment). His research emphasizes practicality and scalability, such as affordable depth estimation and global biomass datasets. He has received the 2013 Marr Prize Honourable Mention (IEEE) and the 2012 U.V. Helava Award (ISPRS), alongside several Best Presentation Awards. His contributions span technical leadership, editorial roles (ISPRS Journal), and service to Swiss remote sensing commissions. Advising and grants: While no specific advisee names or grant details are listed, his career trajectory includes mentoring postdocs and junior faculty. He teaches advanced courses in Photogrammetry , Image Interpretation , and Machine Vision , integrating cutting-edge AI techniques into curricula. His research group collaborates on global-scale projects like canopy height mapping and satellite-based climate variable assessments. Labs/Teams: As Institute Head, he oversees the IGP lab at ETH Zürich, with prior affiliations including the Digital Perception Lab (Monash University) and the Computer Vision Lab (ETH Zurich). His work often involves multi-institutional collaborations focused on geospatial AI and environmental science.

Majid Ghayoomiمشاهده پروفایل

استاد

• Geotechnical Engineering
• Earthquake Engineering
• Unsaturated Soil Mechanics
• +۴ مورد دیگر

Majid Ghayoomi is a Professor and Civil Engineering Undergraduate Coordinator in the Department of Civil and Environmental Engineering at the University of New Hampshire's College of Engineering and Physical Sciences. His research focuses on geotechnical engineering and geomechanics, particularly unsaturated soil mechanics and geotechnical earthquake engineering. He teaches courses such as Soil Mechanics, Engineering Behavior of Soils, and Geotechnical Modeling. Dr. Ghayoomi holds a Ph.D. from the University of Colorado at Boulder, an M.S. from Sharif University, and a B.S. from the University of Tehran. His research interests include bioremediation, hazards mitigation, soil-structure interaction, and materials testing. He leads the Geotechnical Modeling and Innovation lab, advancing bio-inspired solutions and remote sensing applications in geotechnical systems. His recent work emphasizes climate change impacts on seismic resilience, microbial stabilization of soils, and satellite-based soil moisture monitoring. Key contributions include studies on liquefaction mitigation, seismic site response, and infrastructure vulnerability in dynamic environments. His research spans theoretical, experimental (centrifuge modeling), and computational approaches to address complex geotechnical challenges.

Vesna Terzicمشاهده پروفایل

استاد

• Seismic Performance Assessment
• Infrastructure Resilience
• Structural Dynamics
• +۲ مورد دیگر

Vesna Terzic is a Professor in the Department of Civil Engineering and Construction Engineering Management at California State University Long Beach's College of Engineering. Her research specializes in seismic performance assessment, infrastructure resilience, and probabilistic risk analysis of structures. Education includes a PhD in Structural Engineering from UC Berkeley, MS in Earthquake Engineering from Ss. Cyril and Methodius University, and BS in Structural Engineering from University of Belgrade. Research focuses on developing advanced computational frameworks for evaluating post-earthquake functionality of buildings and bridges. Her work integrates performance-based engineering with resilience quantification, emphasizing practical applications for seismic design and retrofitting. Recent publications demonstrate consistent focus on functional recovery modeling, structural health monitoring, and optimization of protective systems. Research trends show progression from component-level analysis to regional recovery simulation frameworks. Major awards: ACI Chester Paul Siess Award for Excellence in Structural Research (2017) Popert Fellowship, UC Berkeley (2009) Professional service includes membership on FEMA P-58 project committees and contributions to OpenSees development. Current projects investigate soil-structure interaction effects on tall buildings and recovery-based design methodologies.

• Civil Engineering
• Structural Engineering
• Computational Engineering
• +۳ مورد دیگر

Professor Haijiang Li is a Chair in BIM for Smart Engineering at Cardiff University's School of Engineering. His roles include leading the Computational Mechanics and Engineering AI Research Group, directing the BIM for Smart Engineering Centre, and overseeing the BIM MSc programme. He holds editorial roles for journals like Construction Innovation and Automation in Construction , and chairs the European Group of Intelligent Computing in Engineering (EG-ICE). Research focuses on smart computational engineering platforms integrating BIM, AI, and big data for sustainable infrastructure. Key areas include digital twins, disaster management, and resilient urban systems. He has secured £40M in research funding, including £9M as PI, and led over 70 research staff and students. Prof. Li is a Standards Committee Technical Executive at buildingSMART, driving international BIM standards. His work includes co-authoring a book on BIM standards across China, the US, and the UK. Awards include Fellowships from the British Computer Society (FBCS) and the Higher Education Academy (FHEA). His research outputs span over 250 publications, covering topics like AI-driven bridge maintenance, ontology-based decision-making, and energy-efficient urban systems. Collaborations with industry and global partners emphasize practical applications of BIM and smart technologies.

Emily Soمشاهده پروفایل

استاد

• Disaster Risk Reduction
• Earthquake Engineering
• Urban Resilience
• +۵ مورد دیگر

Professor Emily So serves as Deputy Head of the School of Arts and Humanities at the University of Cambridge and directs the Cambridge University Centre for Risk in the Built Environment (CURBE). A chartered civil engineer with extensive field experience, she holds leadership roles in the Open-Oxford-Cambridge AHRC Doctoral Training Partnership and chairs the Faculty EDI Committee. Her research focuses on urban risk and resilience , particularly in earthquake-prone regions. Combining structural engineering with epidemiological approaches, she develops innovative casualty estimation models and engages directly with affected communities worldwide. Her work spans seismic safety, disaster epidemiology, and remote sensing applications for rapid damage assessment. Professor So's publication trends reveal strong emphasis on machine learning for disaster risk modeling , with recent work featuring graph neural networks, deep clustering for urban morphology, and LSTM-based population forecasting. Her research bridges engineering, social sciences, and data science to address resilience in developing nations. 2010 Shah Family Innovation Prize (Earthquake Engineering Research Institute) Fellow of the Institution of Civil Engineers (FICE) Scientific Advisory Group for Emergencies (SAGE) member advising UK government As Director of CURBE, she leads interdisciplinary collaborations with EEFIT, Global Earthquake Model (GEM), World Bank, and USGS. Her field investigations following major earthquakes inform practical solutions for vulnerable communities, notably contributing to the 2017 World Building of the Year design in China. Current work includes sabbatical research for 2025-2026 focused on decolonizing architectural approaches to disaster resilience. Professor So maintains active roles in professional organizations and international disaster response frameworks, with her CURBE team developing methodologies now implemented globally for seismic safety improvements.

Thomas Hackerمشاهده پروفایل

استاد

• Cloud Computing
• High-Performance Computing
• Operating Systems
• +۳ مورد دیگر

Thomas Hacker is a Professor in the Department of Computer and Information Technology at Purdue Polytechnic Institute, Purdue University. His research focuses on cloud computing, high-performance computing, operating systems, computer networking, and cyber infrastructure . He holds a Ph.D. and M.S. in Computer Science & Engineering from the University of Michigan, along with dual B.S. degrees in Computer Science and Physics from Oakland University. Education: PhD (Computer Science & Engineering), University of Michigan (2004) MS (Computer Science & Engineering), University of Michigan (1993) BS (Computer Science, Mathematics Minor), Oakland University (1989) BS (Physics), Oakland University (1989) Dr. Hacker's research spans cloud and grid computing, operating systems, and distributed systems , with applications in earthquake engineering data systems and AI-driven infrastructure analysis. His recent work explores extended layer 2 networking for bare-metal provisioning ( 2023 IEEE Cloud Summit ) and machine-supported bridge inspection using artificial intelligence ( Transportation Research Record, 2023 ). Notable scientific contributions include 15+ publications on topics like cyberinfrastructure for earthquake engineering, container-based virtualization, and data-intensive systems. His work has been recognized with awards such as the NSF CAREER Award (2010) and multiple Purdue Seed for Success Awards . Key Scientific Awards: NSF CAREER Award (2010) Purdue Seed for Success Awards (2008-2013) ASEE Information Systems Division Best Paper Award (2012) College of Technology Outstanding Faculty in Discovery Award (2010) He has held leadership roles at Purdue, including Department Head (2018-2021) and Interim Department Head (2011-2016) . His career spans academic positions at Indiana University, University of Michigan, and industry roles at Storage Technology Corporation.

Christopher D.P. Baxterمشاهده پروفایل

استاد

• Geotechnical Engineering
• Experimental Geomechanics
• Soil Behavior
• +۳ مورد دیگر

Christopher D.P. Baxter is a Professor and Department Chair of Civil and Environmental Engineering at the College of Engineering, University of Rhode Island , with expertise in geotechnical engineering, offshore wind energy, and coastal resilience. He holds a Ph.D. in Civil Engineering from Virginia Tech (1999), an M.S. from Purdue University (1994), and a B.S. from Tufts University (1990). Research Focus: Geotechnical characterization of marine sediments, liquefaction resistance analysis, fiber-optic sensing for infrastructure monitoring, and coastal protection systems. Recent Publications: 15+ articles (2011–2025) covering topics like shear wave velocity, offshore wind foundation dynamics, and tsunami hazard modeling. Grants: Led projects on offshore wind monitoring (2019–2024) and fiber-optic seismic sensing (2021–2023). Key Collaborations: Work with teams on submarine landslide analysis, coastal dune reinforcement, and Rhode Island infrastructure resilience. His work bridges experimental geomechanics with practical coastal engineering solutions.

Miyuki Hinoمشاهده پروفایل

استادیار

• Climate Change Adaptation
• Environmental Policy
• Disaster Risk Management
• +۳ مورد دیگر

Miyuki Hino is an Assistant Professor in the Department of City and Regional Planning and an Adjunct Assistant Professor in the Environment, Ecology, and Energy Program at the University of North Carolina at Chapel Hill. She holds a Ph.D. in Environment and Resources from Stanford University and a B.S. in Chemical Engineering from Yale University. Her research focuses on climate hazards, governance, and public policy , with emphasis on equitable adaptation to climate change. Key areas include sea level rise impacts, flood risk on property markets, and managed retreat strategies. She has conducted extensive work on floodplain development policies, household relocation programs, and community resilience frameworks. Dr. Hino's interdisciplinary approach integrates environmental science, urban planning, and social equity . She collaborates with academic and municipal partners, such as the Center for Urban and Regional Studies and Annapolis, MD local governments, to develop actionable solutions for climate adaptation. Her work bridges technical analyses (e.g., sensor networks, machine learning) with policy design to ensure both effectiveness and justice in climate responses. Recent projects emphasize preventing future 'trapped households' by analyzing zoning policies and market dynamics that drive risky development. She advocates for climate-smart growth strategies to balance economic needs with environmental safety, while addressing disparities in vulnerability across communities. Her research has been featured in Science Advances , Nature Climate Change , and interdisciplinary journals. She actively engages with policymakers to translate findings into practical measures, such as equitable buyout programs and floodplain management reforms.

John van de Lindtمشاهده پروفایل

استاد

• Earthquake Engineering
• Community Resilience
• Structural Reliability
• +۳ مورد دیگر

John W. van de Lindt is the Harold H. Short Endowed Chair Professor in Civil and Environmental Engineering at Colorado State University and Co-director of the NIST Center of Excellence for Risk-Based Community Resilience Planning. His research develops performance-based engineering frameworks for natural hazards including earthquakes, tsunamis, hurricanes, and tornadoes. Research integrates physical testing (full-scale shake tables), computational modeling, and field reconnaissance to quantify community resilience. Key areas include: multi-hazard fragility assessment; coupled physical-socio-economic recovery modeling; climate adaptation strategies; and resilient timber structural systems. Recent projects include longitudinal tornado impact studies, earthquake-tsunami risk assessment for coastal communities, and life-cycle analysis of sustainable buildings. Publications document innovations in resilience-informed design, validation of recovery models using disaster reconnaissance, and development of the IN-CORE computational platform for community resilience planning. Research consistently bridges structural engineering with social science for multidisciplinary disaster impact reduction. Awards include ASCE Fellow (2019), Ernest E. Howard Award (2017), and multiple best paper awards. Van de Lindt has led disaster reconnaissance following major US events including the 2021 Midwest tornado outbreak.

Kevin Kochersbergerمشاهده پروفایل

دانشیار

• Dynamics and control
• Autonomous aerial systems
• Applied aerodynamics
• +۷ مورد دیگر

Dr. Kevin Kochersberger is an Associate Professor in the Department of Mechanical Engineering at Virginia Tech , with a career spanning academic research, technical innovation, and educational leadership. His work focuses on autonomous aerial systems , robotic control , and applied aerodynamics , particularly through the Uncrewed Systems Laboratory . Kochersberger's research has pioneered UAV-based radiation detection , 3D terrain mapping , and low-resource drone applications , including establishing the African Drone and Data Academy in Malawi . Education: Ph.D., Mechanical Engineering, Virginia Tech (1994) M.S., Mechanical Engineering, Virginia Tech (1984) B.S., Mechanical Engineering, Virginia Tech (1983) A.S., Engineering Science, Jamestown Community College (1981) Kochersberger's publications demonstrate expertise in UAV path planning , smart material actuation , and radiation source localization , with over $9M in research funding. His scientific awards include AIAA Associate Fellow (2009) and Aviation Week Aerospace Laureate (2003). Notable projects involve helicopter-deployable robotic systems and urban canyon navigation without GPS. Recent articles highlight BVLOS drone simulators , 2.5D terrain mapping , and autonomous negative obstacle traversal , reflecting his focus on real-time adaptive control and heterogeneous robotic systems . He teaches Drone Technology and Flight Operations and Advanced Design Projects , emphasizing student-driven innovation and industry collaboration .

• Stochastic processes
• Biodemography
• Survival analysis
• +۴ مورد دیگر

David Steinsaltz is an Associate Professor of Statistics at the University of Oxford, affiliated with Worcester College. His research focuses on stochastic processes, biodemography, survival analysis, and Bayesian methods, with applications to aging, mortality, and population dynamics. He holds a PhD in probability theory from Harvard University, followed by postdoctoral work at UC Berkeley. His work bridges theoretical probability and applied statistics, addressing questions in demography, ecology, and epidemiology. Education: PhD in Mathematics (Probability Theory), Harvard University (1996); Postdoctoral Research, UC Berkeley (Departments of Demography and Statistics). Research interests include stochastic flows, Markov processes, and statistical methods for longitudinal data. He contributes to interdisciplinary projects, such as earthquake impact modeling and vaccine efficacy analysis. His collaborations span fields like biostatistics, ecology, and machine learning. He advises students on topics including survival analysis and demographic modeling.

Benjamin J. Keysمشاهده پروفایل

پژوهشگر

• Public Economics
• Environmental Economics
• Housing Markets
• +۴ مورد دیگر

Benjamin J. Keys is a Research Associate at the University of Pennsylvania's Wharton School within the Public Economics program. His work focuses on public economics, environmental economics, and financial risk management with particular emphasis on housing markets and climate change impacts. University of Pennsylvania - The Wharton School Public Economics Department His research explores: Climate risk capitalization in housing markets Mortgage insurance moral hazard Consumer credit card payment behaviors Emergency credit systems Regional economic redistribution through mortgages Email: benkeys@wharton.upenn.edu Scientific awards include: Fellowships on Consumer Financial Management

Sibel Pamukcuمشاهده پروفایل

استاد

• Environmental Remediation
• Electrochemical Technologies
• Geotechnical Engineering
• +۳ مورد دیگر

Sibel Pamukcu is a Professor in the Department of Civil and Environmental Engineering at Lehigh University, affiliated with the P.C. Rossin College of Engineering and Applied Science. Her research focuses on electroremediation of soils and groundwater, advanced geo-materials, and sensor systems for subsurface monitoring. She has held leadership roles including interim Chair of Civil and Environmental Engineering and co-director of Lehigh’s ADVANCE grant. Pamukcu teaches courses in geotechnical and environmental engineering at both undergraduate and graduate levels. Education: Ph.D. in Civil Engineering, Louisiana State University M.S. in Civil Engineering, Louisiana State University B.S. in Civil Engineering, Bogazici University, Turkey Research Interests: Her work spans electrochemical methods for environmental detoxification, development of polymer-enhanced sands, and distributed sensor networks for real-time subsurface monitoring. Key focus areas include: In-situ destruction of contaminants in clay-rich soils Enhanced oil recovery via electric fields Wireless and fiber-optic sensor systems for hazard mitigation Grants & Awards: Principal investigator on over 60 grants from NSF, DOE, DOD, and others. Notable awards include the Alfred Noble Robinson Award (Lehigh University) and the ASCE Civil Engineering Foundation Grant Award. Her lab holds multiple patents on soil remediation techniques and polymer-coated sands. Advising & Service: Supervised 9 Ph.D. and 25+ M.S. students Appointed to Martindale Center faculty and Sigma Xi leadership Contributed to 50+ peer-reviewed articles and 100+ technical publications Labs & Teams: Leads interdisciplinary initiatives in electrokinetic remediation and underground sensing, collaborating with industry partners like Electric Power Research Institute and the Pennsylvania Department of Transportation.

• Coastal Engineering
• Beach Erosion
• Hurricane Impact Analysis
• +۳ مورد دیگر

Dr. Stephanie M. Patch is an Assistant Professor in the Department of Civil, Coastal, and Environmental Engineering at the University of South Alabama's College of Engineering. Her research focuses on coastal engineering challenges, particularly beach erosion dynamics and the interaction between natural processes and engineered structures during extreme events like hurricanes. Education: Ph.D. Civil Engineering, Virginia Tech M.S. Civil Engineering, Georgia Tech Savannah B.S. Civil Engineering, Georgia Tech Savannah Research Interests: Dr. Patch investigates short- and long-term coastal erosion mechanisms, wave and surge impacts on barrier islands, and numerical modeling applications for coastal resilience. Her recent work examines Hurricane Sandy's effects on New Jersey and Virginia barrier systems, emphasizing adaptive strategies under rising sea levels. Publications Trends: Her articles address coastal infrastructure resilience, hurricane geomorphological impacts, and adaptation strategies using advanced numerical simulations. Key themes include sea-level rise mitigation, post-disaster assessment, and coastal policy frameworks. Advising & Grants: No formal advisees or grant details listed in the profile. Labs/Teams: Active in coastal modeling and field measurement initiatives, though specific lab affiliations are not detailed here.

Brett Sandersمشاهده پروفایل

استاد

• Flood modeling and prediction
• Coastal and urban flooding
• Hydrological modeling
• +۷ مورد دیگر

Brett Sanders is a Professor in the Department of Civil and Environmental Engineering at the Samueli School of Engineering, University of California, Irvine. His research focuses on developing innovative algorithms for flow and transport in river and coastal systems and integrating information technologies to create more accurate and efficient simulation tools for flood hazard assessment. His primary research interests include: Flooding and erosion hazards, particularly coastal flooding and urban flooding Surface water quality Low impact development impacts on hydrology Dam-break flooding Aerial and terrestrial lidar scanning Geographical information systems High performance computing for simulation tools Social dimensions of flood risk and adaptation behaviors Dr. Sanders' recent publications (2024-2025) reveal a comprehensive research program addressing both technical and social aspects of flood risk. His work spans computational hydrodynamics, flood hazard mapping, infrastructure vulnerability assessment, and the socioeconomic dimensions of flood risk. He has made significant contributions to understanding multi-grid modeling of urban flooding, post-fire flood hazards, satellite-based monitoring of land motion, and social inequalities in flood exposure. His research demonstrates how flood dynamics are more complex than simple bath-tub filling models suggest, with important implications for urban planning and climate adaptation. Dr. Sanders has received recognition as a Chancellor's Professor at UC Irvine, indicating distinguished scholarly achievement. His educational background includes: Ph.D. in Civil Engineering from the University of Michigan (1997) M.S. in Civil Engineering from the University of Michigan (1994) B.S. in Civil Engineering from the University of California, Berkeley (1993)