جست‌وجوی استاد و پژوهشگر

• Structural Engineering
• Civil Engineering
• Disaster Risk Reduction
• +۵ مورد دیگر

Associate Professor Hao Zhang is a structural engineer specializing in natural hazards and infrastructure resilience, affiliated with the School of Civil Engineering at the University of Sydney. He holds a PhD from Georgia Institute of Technology and has transitioned from industry to academia in 2008. His research focuses on mitigating risks from earthquakes, cyclones, floods, and tsunamis on buildings and bridges, emphasizing probabilistic modeling and reliability analysis. Key interests include structural durability, system reliability, and advanced analysis methods for steel and cold-formed structures. Education: PhD in Civil Engineering, Georgia Institute of Technology Research Interests: Professor Zhang’s work addresses the intersection of natural disasters and structural safety. He develops frameworks to assess and enhance resilience of infrastructure systems, particularly in marine environments and under climate change scenarios. His methodologies incorporate probabilistic modeling, Bayesian updating, and machine learning techniques to improve design practices and disaster preparedness. Teaching & Supervision: CIVL2230: Introduction to Structural Concepts and Design CIVL5268: Structural Dynamics CIVL5509: Foundations of Structural Concepts and Design Current Students: Pouya AFSHAR IMANI: Structural reliability of 3D-printed steel structures Angga SABARULIMAN: Earthquake-resistant housing in Indonesia Haolong YANG: Interdependent infrastructure resilience during disasters Labs & Teams: He collaborates with the Centre for Advanced Structural Engineering and Structures Group , focusing on innovative materials and failure-resistant designs. His research bridges academic theory with industrial applications, emphasizing real-world implementation of resilient infrastructure solutions.

William Wangمشاهده پروفایل

استادیار

• Geospatial Analysis
• Climate Change
• Hydrological Modeling
• +۵ مورد دیگر

Dr. William Wang is an Assistant Professor in the Department of Geography and Planning at Appalachian State University. His research focuses on geospatial analysis, climate change, and human-environment interactions, employing GIS, remote sensing, and statistical methods. He holds a Ph.D. from the University of Connecticut (2019) and a B.S. from Nanjing University (2015). Research interests include analyzing climate change impacts on hydrology, land use dynamics, and socio-economic factors. Notable projects include modeling urban forests in desert cities and assessing pandemic policies. He has been awarded the Chancellor’s Innovation Scholars Program (2025) for community resilience research and the GRAM Award for mentoring graduate students in climate vulnerability studies. Key Awards : Chancellor’s Innovation Scholars Program 2025 ($23,500) GRAM Awardee (2025-2026) Advising includes mentoring Abigail Kratsch (GRAM scholar) and ongoing grants focus on marginalized communities' climate vulnerability. His lab explores AI-driven social vulnerability indices and flood resilience in North Carolina.

• Machine Learning
• Computer Science
• Data Science
• +۸ مورد دیگر

Haichao Wang is a researcher affiliated with multiple institutions, including Shanghai University of Electric Power, Henan Polytechnic University, Army Engineering University of PLA, and Huazhong University of Science and Technology . His work spans interdisciplinary applications in Machine Learning, Embedded Systems, Environmental Science, and Biomedical Engineering , with a focus on k nowledge distillation, rough set theory, and signal processing. Research interests include sleep staging using neural networks, defect detection in industrial settings, acoustic analysis of wind turbines , and environmental monitoring . Recent publications highlight trends in multi-modal learning, adaptive thresholding, and 5G-enabled geospatial modeling . The 15 most recent articles reflect a blend of deep learning architectures, remote sensing, and biomedical applications . His collaborations extend to institutions in China and international scholars, emphasizing interdisciplinary solutions for technical and environmental challenges.

Qifei Niuمشاهده پروفایل

استادیار

• Near-surface geophysics
• Hydrogeophysics
• Soil and rock physics
• +۴ مورد دیگر

Qifei Niu is an Assistant Professor in the Department of Geosciences at Boise State University. He holds a Ph.D. in Civil Engineering from the Hong Kong University of Science and Technology (2014), an M.S. in Geotechnical Engineering from the China Institute of Water Resources and Hydropower Research (2010), and a B.S. in Irrigation and Drainage from Wuhan University (2007). His research focuses on near-surface geophysics, hydrogeophysics, and critical zone hydrology, integrating geophysical methods, field experiments, and computational modeling to study subsurface processes. He leads the Multiscale Hydrogeophysics Lab, training the next generation of geoscientists at the intersection of hydrology, geology, and geophysics. Teaching responsibilities include courses on Applied and Environmental Geophysics, Soil and Rock Physics, and Computational Geoscience. He actively seeks M.S. and Ph.D. students for Fall 2023 admission, emphasizing hydrology and geophysics. Contact via email (qifeiniu@boisestate.edu) for inquiries. Research highlights include studies on subsurface water storage dynamics, geophysical-hydrologic modeling integration, and pore-scale electrochemical processes in geomaterials. His work bridges fundamental science with practical applications in water resource management and environmental monitoring.

Joel Kuszmaulمشاهده پروفایل

دانشیار

• Geomechanics
• Probabilistic Methods
• Dam and Levee Stability
• +۳ مورد دیگر

Joel Kuszmaul is an Associate Professor of Civil Engineering and Director of Program Assessment & Accreditation at Merrimack College. His research focuses on probabilistic methods in geomechanics, particularly related to levee and dam stability, with long-term collaborations with the U.S. Army Corps of Engineers. He holds a Ph.D. in Civil Engineering from the University of California, Berkeley, an M.S. in Geoengineering from the University of Minnesota, and a B.S. in Geological Engineering from Michigan Technological University. Dr. Kuszmaul's research interests include geotechnical risk assessment, remote sensing applications for environmental monitoring, and hydrogeological studies. His work often integrates advanced computational methods, such as evolutionary algorithms and GIS-based modeling, to address challenges in infrastructure safety and environmental sustainability. His publications span topics like levee erosion prediction, fracture analysis in rock masses, and coastal land loss quantification using remote sensing. He has contributed to projects involving dam vulnerability assessments, septic system performance evaluation, and flood modeling in Mesoamerica. Despite no specific awards listed, his extensive collaborations and technical expertise highlight his contributions to civil engineering and geomechanics. Dr. Kuszmaul’s advising and grants are not explicitly detailed in the provided text, but his academic roles suggest active engagement in teaching, accreditation processes, and applied research initiatives. His work aligns with Merrimack College’s emphasis on innovation and real-world problem solving.

Qin Qianمشاهده پروفایل

استاد

• Environmental Hydrodynamics
• Water Quality Modeling
• Sediment Transport Processes
• +۵ مورد دیگر

Qin Qian is a Professor in the Department of Civil & Environmental Engineering at Lamar University, College of Engineering. She holds academic leadership roles and teaches courses in fluid mechanics, hydraulics, and water quality modeling. Her research focuses on environmental hydrodynamics, water quality modeling, sediment transport, and urban stormwater management. Dr. Qian has secured over $8 million in research funding from agencies like NSF, NOAA, and the Texas Department of Transportation, leading projects on flood mitigation, sensor networks, and coastal resilience. She has advised numerous students and published over 50 peer-reviewed articles. Awards include the Anita Riddle Fellow (2017–2020) and Outstanding Service Award from OCEESA (2019). Education: Ph.D. Civil Engineering, University of Minnesota, 2008 M.S. Civil Engineering, University of Minnesota, 2004 M.S.S. Software Engineering, University of St. Thomas, 2003 B.S. Hydrogeology & Engineering Geology, Nanjing University, 1994 Research Interests: Environmental Hydrodynamics, Water Quality Monitoring with IoT Sensors, Stream Restoration, Coastal Flooding, Urban Drainage Systems. Articles Trends: Recent work emphasizes AI-driven water quality modeling, hurricane impact analysis, and sustainable reuse of dredged materials. Projects integrate sensor networks and hydraulic modeling for real-time environmental monitoring. Awards: Recipient of 14+ honors including national and international recognition in teaching, research excellence, and service to environmental engineering communities. Grants/Advising: PI/co-PI on 29 funded projects. Advised 15+ graduate students and led undergraduate research teams in flood modeling, sediment studies, and environmental sensor deployment. Labs/Teams: Active in the Research Group on Water Resources and Resilience, collaborating with NOAA, Texas General Land Office, and the Center for Resiliency on coastal infrastructure projects.

James M. Riclesمشاهده پروفایل

استاد

• Seismic Engineering
• Structural Dynamics
• Offshore Wind Energy Systems
• +۴ مورد دیگر

James M. Ricles is the Bruce G. Johnston Professor of Structural Engineering at Lehigh University, serving as Director of the Advanced Technology for Large Structural Systems (ATLSS) Center and the NSF-sponsored NHERI Experimental Facility. He holds a Ph.D. from UC Berkeley and a B.S./M.S. from UT Austin. His research focuses on innovative seismic-resistant systems, offshore wind energy structures, and real-time hybrid simulation techniques. He leads large-scale projects with over $50 million in funding and has authored/co-authored nearly 600 publications. Dr. Ricles' research spans structural dynamics, composite materials, and multi-hazard resilience. His awards include the NSF Presidential Young Investigator Award, NASA Fellowship, and the Raymond C. Reese Prize. He advises students (34 M.S., 33 Ph.D.) and directs labs advancing cyber-physical testing for resilient infrastructure. Current work includes offshore wind turbine simulations and self-centering structural systems. Awards: NSF Young Investigator, NASA Fellowship, Reese Prize, AISC Fellow, 8 Lincoln Welding Awards Grants: 62+ projects, 20 exceeding $1M Labs: ATLSS Center, NHERI Facility (multi-directional RTHS)

Tien Yeeمشاهده پروفایل

استادیار

• Water Resources Engineering
• Computational Fluid Dynamics (CFD)
• IoT and Sensor Systems
• +۵ مورد دیگر

Dr. Tien Yee is an Assistant Professor in the Department of Civil and Environmental Engineering at Kennesaw State University. He holds a Ph.D., MSc, and BSc in Civil Engineering from the University of Kentucky. His research focuses on hydraulics, computational fluid dynamics (CFD), and IoT technologies applied to water resources, transportation, and biofluid mechanics. He leads the Hydrodynamics and Systems Lab, which develops Digital Twin systems for infrastructure monitoring and collaborates with institutions like UC Berkeley and Georgia Tech. Key projects include flamingo feeding mechanics studies published in PNAS, short tunnel lighting simulations in collaboration with the University of Georgia, and bridge scour monitoring with machine learning. His work bridges civil engineering with interdisciplinary fields such as biofluid dynamics and computer science. Dr. Yee’s educational background includes degrees from the University of Kentucky, and he teaches courses in hydrology, fluid mechanics, and engineering mechanics at KSU. His lab engages students at all academic levels. Though no specific awards are listed, his contributions span multiple high-impact projects and peer-reviewed publications. Collaborations include partnerships with academic institutions and industry partners like Wi-Skies LLC. His research emphasizes practical applications of advanced technologies to solve real-world engineering challenges.

Tom Ravensمشاهده پروفایل

استاد

• Arctic Coastal Hazards
• Environmental Engineering
• Renewable Energy
• +۳ مورد دیگر

Dr. Tom Ravens is a Professor in the Civil Engineering Department at the University of Alaska Anchorage (UAA), serving as former Associate Dean of Research for the College of Engineering. His research focuses on Arctic coastal hazards, including erosion, flooding, permafrost thaw, and saltwater intrusion, alongside hydrokinetic renewable energy. He leads the NSF-funded Arctic Coastal Risk Network (ACRN), a collaborative effort to address Arctic coastal risks through interdisciplinary approaches. Education: Ph.D., Civil and Environmental Engineering, MIT (1997) M.A., Philosophy, University of Massachusetts (1990) M.E. & B.E., Engineering Sciences, Thayer School of Engineering, Dartmouth College (1983) B.A., Engineering Sciences, Dartmouth College (1982) Research Interests: Development of Arctic Xbeach models and process-based forecasting Coastal protection strategies (thermal, mechanical, nature-based) Hydrokinetic energy resource assessment and environmental impacts Risk communication and community adaptation Teaching: Courses in Water Resources Engineering, Coastal Engineering, and Fluid Mechanics. Service: Fluid Mechanics Lab Director at UAA Reviewer for journals like Journal of Waterway, Port, Coastal, and Ocean Engineering Proposal evaluator for NSF and Sea Grant programs Labs/Teams: Leads the Arctic Coastal Risk Network and collaborates with interdisciplinary teams on coastal resilience projects.

• Hydrogeology
• Groundwater Hydrology
• Groundwater Modelling
• +۴ مورد دیگر

Okke Batelaan is a Strategic Professor in Hydrogeology at Flinders University since 2012, previously serving as Dean of the School of the Environment (2015–2017). He holds a PhD in Engineering from the Free University Brussels and an MSc in Hydrogeology from the Free University Amsterdam. His expertise spans groundwater hydrology, modelling, and integrated water resources management, with over 200 supervised students. He leads projects globally, focusing on ecohydrology, climate impacts, and groundwater sustainability. Awards include the Honorable Medal from Warsaw University of Life Sciences (2010) and Australia’s 2025 Hydrology Research Leader title. **Education**: PhD (Free University Brussels), MSc (Free University Amsterdam). **Key Roles**: Chair of Editors-in-Chief (Journal of Hydrology), Board Member (Goyder Institute for Water Research), and Lead for Education (One Basin CRC). **Grants**: Coordinated projects in multiple continents, including the Assessment of Adelaide Plains Groundwater Resources. **Media**: Active in groundwater-related media engagements. **Research Focus**: Groundwater dynamics, recharge-discharge modelling, urban hydrology, and land-use/climate change impacts. His work integrates remote sensing, GIS, and geophysical data to address water challenges. Recent projects emphasize interdisciplinary approaches and capacity-building in developing regions. **Recent Articles**: Over 200 publications, with recent work on ecohydrological dynamics, groundwater flow systems, and machine learning in water resource management. Key themes include climate resilience, transboundary aquifers, and sustainable groundwater use.

M.W.N. Buxtonمشاهده پروفایل

دانشیار

• Mining Engineering
• Geosciences
• Sensor Technology
• +۳ مورد دیگر

Dr. Mike Buxton is an Associate Professor and Section Head of Resource Engineering at the Faculty of Civil Engineering and Geosciences, Delft University of Technology. He holds a PhD in carbonate sedimentology and has extensive industry experience in mining exploration, technical due diligence, and project management. His research focuses on sensor-based material characterization for mining applications, including ore-waste separation, exploration drilling, and pre-processing waste discrimination. Education: PhD in Carbonate Sedimentology (1992), Postdoctoral research at Rand Afrikaans University, followed by 16 years in the South African mining industry. Currently supervises 3 PhD students and leads EU-funded projects like REAL TIME MINING and STOICISM. Research interests include sensor technologies, mineral processing optimization, and sustainable post-mining landscapes. He is a Fellow of the Geological Society of South Africa. Recent projects: Sensor integration for real-time mining, calcined industrial minerals characterization, and material fingerprinting for process improvement. His work spans collaborations with international researchers, industry partners, and institutions like RWTH Aachen and Aalto University. Grants & Projects: European FP7 Project STOICISM (2011), Horizon 2020 REAL TIME MINING (gold ore separation), and TRIM4Post-Mining (sustainable post-mining transitions). Supervised over 15 MSc/BSc theses on topics ranging from LIBS ore analysis to hydraulic fracturing. Labs/Teams: Leads the Resource Engineering Section, collaborates on interdisciplinary teams for sensor-based mining solutions, and contributes to the European EMMEP program.

Soroush Abolfathiمشاهده پروفایل

دانشیار

• Water and Environmental Engineering
• Coastal Engineering
• Climate Change Adaptation
• +۴ مورد دیگر

Soroush Abolfathi is an Associate Professor in Water and Environmental Engineering at the University of Warwick's School of Engineering. He is also a member of the Warwick Centre for Predictive Modelling and Co-Lead of the Global Research Priorities in Sustainable Cities. His research focuses on pollution transport (including microplastics), resilient infrastructure design, and climate change adaptation. He holds a BEng (2008), MSc (2011), and PhD (2016) from the University of Warwick, funded by the Victoria Fernandes Fellowship. Research interests include microplastic dynamics in aquatic systems, constructed wetlands for environmental remediation, and machine learning applications in hydraulic modelling. He leads major projects like the £1.6m FCDO-funded 'GIVO-Warwick' initiative for plastic waste valorization and NERC-funded studies on pollution transport in wetlands. He is Chair of the Institution of Civil Engineers (ICE) Coventry & Warwickshire branch and serves on the UK Leadership Team for IAHR. Teaching includes modules on water engineering design, climate change impacts, and coastal resilience. Active in interdisciplinary collaborations, he co-leads the Blu Hope Campaign to protect Southeast Asia's Coral Triangle ecosystems and is involved in the 'DITCH-Plastic' EPSRC project for circular economy innovations.

Mohammad Rezaniaمشاهده پروفایل

استاد

• Geomechanics
• Geotechnical Engineering
• Resources and Energy Geotechnics
• +۳ مورد دیگر

Dr. Mohammad Rezania is a Reader in Civil Engineering (Geomechanics) at the University of Warwick's School of Engineering. He holds an Honorary Professorship at Southwest Jiaotong University (China) and serves as Editor-in-Chief of the ICE Journal of Machine Learning and Data Science in Geotechnics. His academic journey includes a B.Sc. from Sharif University of Technology, M.Sc. from Iran University of Science and Technology, and a PhD from the University of Exeter. Research focuses on resources and energy geotechnics, constitutive modeling of geotechnical materials, sustainable construction materials, and landslide risk assessment. Notable projects include the MINRESCUE initiative (€3.18M), addressing mining waste valorization, and leading the SeaDream project (€1.08M) on marine energy resilience. He also coordinates interdisciplinary grants like REMEDI (€1.35M) for environmental remediation. Teaching responsibilities include module leadership for Geotechnical Engineering (ES3B6), Finite Element Methods for Tunnelling (ES96V), and contributes to design and humanitarian engineering projects at the graduate level. His work bridges traditional geotechnics with modern machine learning and data science applications.

• Latent Variable Models
• Hierarchical models
• High Dimensional Statistics
• +۶ مورد دیگر

Yun Wei is an Assistant Professor in the Department of Mathematical Sciences at the University of Texas at Dallas. His research focuses on statistical methodology development, including latent variable models, Bayesian statistics, high-dimensional statistics, and reinforcement learning. He holds a Ph.D. from the University of Michigan (supervised by Alfred Hero and XuanLong Nguyen) and a B.S. from Nankai University. Prior to UTD, he was a postdoctoral researcher at SAMSI and Duke University under Sayan Mukherjee, Hau-tieng Wu, and Eric Laber. His work bridges theoretical statistics with applications in engineering, healthcare, and environmental systems. Key themes include modeling complex systems under uncertainty, developing scalable algorithms for big data, and applying statistical methods to geotechnical engineering challenges like seismic response analysis of subsea infrastructure. He also explores behavioral health interventions through telehealth and wearable technology, addressing physical activity barriers among aging populations and occupational groups. Dr. Wei has contributed to 70+ peer-reviewed articles (2020-2025), with recent emphasis on: Offshore structure resilience under multi-hazard conditions Telehealth interventions for autism spectrum disorder Accelerometry-based physical activity analysis Psychological well-being in college students during pandemics His research portfolio reflects interdisciplinary collaboration across engineering, computer science, and public health domains.

Paulin Coulibalyمشاهده پروفایل

استاد

• Hydrologic Modelling
• Flood Forecasting
• Water Resources Management
• +۷ مورد دیگر

Dr. Paulin Coulibaly is a Professor in the Department of Civil Engineering at McMaster University, serving as Director of the NSERC Canadian FloodNet, a multi-disciplinary research network funded by NSERC with industry and academic partnerships. His research focuses on advanced flood forecasting, nonstationary hydrologic analysis, hydrometric network design, and integrating machine learning with satellite data for ungauged basins. He holds a B.A.Sc., M.A.Sc. from Nice, and a Ph.D. from Université Laval, and is a Professional Engineer (P.Eng.). Research interests include probabilistic ensemble forecasting, climate change impacts on water resources, and community flood resilience. He teaches courses such as Hydrologic Modeling (CIV ENG 6M03) and Advanced Statistical Methods in Hydrology (CIV ENG 757). FloodNet collaborates with UNU-INWEH and governmental agencies to enhance flood management globally, emphasizing reduced damages and socio-economic impacts. Key achievements include leadership of FloodNet and contributions to infrastructure resilience. His work bridges academic research with operational needs of flood forecasters and policymakers, addressing transboundary water challenges and Indigenous knowledge integration. Ongoing projects involve spatial twin frameworks, climate risk assessment, and hydrometric network optimization.