جست‌وجوی استاد و پژوهشگر

Christian Wokemمشاهده پروفایل

مدرس

• Structural Engineering
• Construction Project Management
• Data Science
• +۴ مورد دیگر

Dr. Christian Wokem is a Lecturer in the Bachelor of Science Construction Project Management program at the School of Construction, Southern Alberta Institute of Technology (SAIT). He holds a Ph.D. in Structural Engineering and is a certified Professional Engineer (P.Eng), Project Management Professional (PMP), and Stanford Certified Project Manager (SCPM). B.Eng. in Civil Engineering from Nigeria M.Sc. and Ph.D. in Structural Engineering from the University of Alberta M.Sc. in Construction Project Management (with distinction) from Robert Gordon University, UK Diploma in Small and Medium Real Estate Development from New York University Advanced Project Management Certificate from Stanford University’s Centre for Professional Development Christian’s research focuses on integrating computing, data science, and artificial intelligence into engineering and construction, alongside structural reliability analysis and fatigue/fracture mechanics. His work bridges modern computational techniques with traditional infrastructure challenges. He has been recognized for academic and professional excellence, including awards for teaching, academic performance, and engineering creativity. Christian brings extensive consulting experience in structural, geotechnical, and highway engineering to his role.

• Remote Sensing
• Civil Engineering
• Nuclear Energy
• +۳ مورد دیگر

Stewart Agar is a Postdoctoral Research Associate (PDRA) in the Geotechnics section of the Department of Civil and Environmental Engineering at Imperial College London. He holds a Research Fellow academic rank and is affiliated with the Earth Observation Network and Geotechnics. His work focuses on Interferometric Synthetic Aperture Radar (InSAR) for infrastructure monitoring, particularly in nuclear decommissioning, high-speed rail, and mine stability analysis. Education: MRes in Nuclear Energy, Imperial College London (2017) MEng in Nuclear Engineering, Lancaster University (2014) Research interests include InSAR technology, remote sensing, GIS, and machine learning applications in geotechnical engineering. He collaborates with industry partners like EDF Energy and previously contributed to the Committee on Radioactive Waste Management (2017–2018). No specific scientific awards or articles are explicitly listed in the provided text.

• Civil Engineering
• Geotechnical Engineering
• Numerical Modelling
• +۵ مورد دیگر

Dr David Taborda is a Reader in the Department of Civil and Environmental Engineering at Imperial College London , specializing in Geomechanical Modelling and Energy Geotechnics . His research focuses on numerical simulation of soil-structure interaction, particularly in offshore wind turbine foundations and thermo-active ground-source heating systems. Education : BEng in Civil Engineering, University of Coimbra (2004) PhD in Numerical Modelling of Dynamic Soil Behavior, Imperial College London (2010) Research Interests include: Development of numerical methods for thermal and mechanical ground analysis Constitutive models for sands and clays under cyclic loading Thermo-active foundations (piles, retaining walls, tunnels) Offshore wind turbine foundation design (PISA project) Recent Publications highlight advancements in: Liquefaction resistance and post-liquefaction soil behavior Machine learning applications for foundation diagnostics and surrogate models Multi-directional limit state envelopes for offshore monopiles Thermal conduction in granular materials using DEM and pore-scale models Affiliations : Energy Futures Lab, Imperial College London Geotechnics Section, Department of Civil and Environmental Engineering Advising : Open to supervising PhD students with focus on numerical geomechanics and energy geotechnics

• Soil Properties
• Advanced Laboratory Testing
• Soil Characterisation
• +۷ مورد دیگر

Dr. Truong Le is a Lecturer in the Department of Civil and Environmental Engineering at Imperial College London, part of the Faculty of Engineering. He holds a PhD in Civil Engineering from the University of Sydney, Australia, and also holds dual bachelor's degrees in Architecture and Civil Engineering from the same institution. Prior to his academic role, Dr. Le worked as an advanced laboratory and research engineer in industry. His research focuses on experimental soil mechanics, particularly element-scale testing of problematic soils, with expertise in soil characterization, advanced laboratory testing techniques, and the mechanical behavior of structured clays. Dr. Le is affiliated with the British Geotechnical Association and the Institute of Civil Engineers. His research interests span soil properties analysis, geotechnical instrumentation development, and the mechanical behavior of soft and stiff clayey soils. He has conducted extensive studies on topics like small-strain stiffness variations in London Clay, creep behavior of structured clays, and the influence of strain rates on clay mechanics. Dr. Le's work emphasizes bridging laboratory experimentation with computational modeling, as seen in recent studies applying machine learning to soil testing. His contributions address critical challenges in geotechnical engineering through innovative testing methodologies and data-driven approaches.

Goh Siang Huatمشاهده پروفایل

دانشیار

• Geotechnical Engineering
• Earthquake Engineering
• Soil-Pile Interaction
• +۵ مورد دیگر

Dr. Goh Siang Huat is an Associate Professor in the Department of Civil Engineering at the National University of Singapore. He holds a B.Eng. (First Class Honours) and M.Eng. from NUS (1991, 1995) and a Ph.D. from Cornell University (2001). His research focuses on geotechnical centrifuge modeling, seismic soil-pile interaction, and large deformation numerical analysis. He has contributed to the recovery efforts of the World Trade Centre post-9/11 and led roles in the Centre for Protective Technology and Underground Singapore Conference. Education: B.Eng. (First Class Honours), National University of Singapore (1991) M.Eng. (Civil), National University of Singapore (1995) Ph.D., Cornell University (2001) Research Interests: Geotechnical Centrifuge Modeling of Dynamic Events Numerical Analysis of Seismic Soil-Pile Interaction Large-Scale Parallel Computations Offshore Foundation Design (Spudcans, Lattice Legs) Recent Trends in Publications: His recent work emphasizes computational methods for seismic response analysis, geotechnical reliability under spatial variability, and machine learning applications in subsurface modeling. Key themes include spudcan foundations, slope stability, and gas reservoir dynamics. Awards: Silver Award, Singapore Accreditation Council Assessor (2012) Bronze Award, Singapore Accreditation Council Assessor (2009) Teaching & Service: He teaches Geotechnical Finite Element Methods and has served as Associate Editor for Journal of Earthquake and Tsunami . His roles include Operations Manager at the Centre for Protective Technology and organizer of APSSRA2012 and Underground Singapore Conference. Labs/Teams: Active in the Centre for Protective Technology within the Faculty of Engineering, focusing on geotechnical innovation and disaster resilience.

Mehrtash Motamediمشاهده پروفایل

عضو هیئت علمی

• Structural Engineering
• Earthquake Engineering
• Seismic Design & Retrofitting
• +۴ مورد دیگر

Dr. Mehrtash Motamedi is a Research Associate and Engineering Manager at the Department of Civil Engineering, University of British Columbia (UBC), within the Faculty of Applied Science. His expertise lies in seismic design, retrofitting of structures, and experimental research in earthquake and structural engineering. With 15+ years of experience, he manages the EERF research facility and oversees commercial testing projects in the Earthquake and Structures Laboratories, focusing on shake table tests and field vibration analyses. Research interests include structural seismic health monitoring, base isolation systems, energy-dissipating mechanisms, and masonry building resilience. He has led projects such as ambient vibration testing for seismic site characterization and modal analysis of historic structures like the Guayaquil Metropolitan Cathedral. His work bridges theoretical models with real-world applications, emphasizing practical solutions for earthquake-resistant design. Key contributions include validating retrofit techniques for wood-frame buildings, analyzing torsional effects in seismic responses, and developing frameworks for coastal community resilience. His experimental studies often involve full-scale shake table tests and advanced modal analysis techniques to improve structural safety standards.

Pappu Yadavمشاهده پروفایل

استادیار

• Precision Agriculture
• Remote Sensing
• Proximal Sensing
• +۹ مورد دیگر

Pappu Yadav is an Assistant Professor in the Department of Agricultural and Biosystems Engineering at South Dakota State University (SDSU), with an 80:20 research-teaching split. His academic roles include teaching PRAG 304/304L: Electrical Diagnostics for Farm Machinery and AST 426/426L: Technology Applications for Precision Agriculture . Prior to joining SDSU, he held a postdoctoral position at the University of Florida (2022–2023) and worked as an electrical equipment technician at the Center for Irrigation Technology (2014–2018). Dr. Yadav’s research focuses on precision agriculture, remote/proximal sensing using multispectral/hyperspectral imaging, thermal/fluorescence imaging, and AI-driven technologies like computer vision, unmanned systems, and agricultural robotics. His work addresses crop disease management, irrigation optimization, and precision spraying. He has received notable awards including the 2023 SPIE-DCS Best Student Paper Runner-Up Award and the 2020 Beltwide Cotton Conferences Best Paper Award. He is affiliated with the Machine Vision and Optical Sensor (MVOS) Lab at SDSU and holds professional memberships in the American Society of Agricultural and Biological Engineers (ASABE) and SPIE. His research portfolio spans over 40 peer-reviewed articles, with recent emphasis on citrus disease detection via hyperspectral imaging, E. coli contamination monitoring, and agricultural robotics for crop phenotyping. He collaborates on projects funded by agencies like the USDA and industry partners in precision agriculture.

Caitlin Muellerمشاهده پروفایل

دانشیار

• Computational Methods
• Structural Engineering
• Sustainable Materials
• +۳ مورد دیگر

Caitlin Mueller is an Associate Professor in the Building Technology Program at MIT's Department of Architecture. She leads the Digital Structures research group, focusing on computational methods that integrate architectural and structural design. Her work emphasizes sustainable materials, digital fabrication, and reducing embodied carbon in construction. Mueller holds a S.B. in Architecture (MIT, 2007), an M.S. in Structural Engineering (Stanford, 2008), and advanced degrees in Computation for Design and Optimization and Architecture from MIT (2014). Research Interests: Computational design tools for early-stage architectural and structural synthesis Material-efficient structures via shape optimization Integration of historical collaboration practices into modern interdisciplinary education Low-carbon construction materials and methods Her recent work explores circular economy strategies in construction, including zero-waste fabrication methodologies and 3D-printed earthen materials. Mueller has been granted tenure by MIT (2022) and frequently collaborates with industry partners to implement sustainable design solutions at scale.

Herbert F. Wangمشاهده پروفایل

استاد

• Geodynamical Modeling
• Poroelastic Theory
• Fracture Mechanics
• +۴ مورد دیگر

Herbert F. Wang is a Professor in the Department of Geological Engineering at the University of Wisconsin-Madison. His primary affiliation is with the College of Engineering, where he focuses on geodynamical modeling, poroelastic theory, and rock mechanics. His research integrates laboratory experiments and numerical modeling to study subsurface processes, including fracture toughness, hydraulic fracturing, and geothermal reservoir dynamics. Key projects include the kISMET and WHOLESCALE initiatives, exploring hydraulic fracturing in deep mines and geothermal field monitoring. Wang’s work leverages distributed acoustic sensing (DAS) technology for subsurface imaging, seismic analysis, and environmental monitoring. Education details are not explicitly provided in the text, but his professional trajectory indicates advanced training in geological engineering and geophysics. His research spans disciplines such as rock physics, geothermal energy, and mine safety, with field trials at sites like the Sanford Underground Research Facility and Brady Hot Springs. He has contributed to advancements in fiber-optic sensing, poroelastic modeling, and stress analysis through over 50 peer-reviewed articles. Wang’s projects emphasize interdisciplinary collaboration, combining geophysical measurements with computational simulations. Recent studies include analyzing cooling-induced acoustic emissions in granite, calibrating hydro-mechanical behavior in geothermal systems, and optimizing DAS for urban infrastructure monitoring. His work addresses both fundamental science (e.g., anisotropic poroelastic moduli) and applied challenges in energy extraction and subsurface engineering. Key achievements include leading the kISMET project on hydraulic fracturing in deep mines and developing inversion models for poroelastic tomography at Brady Hot Springs. He has pioneered the use of commodity internet fibers for vibration sensing, bridging telecommunications and geophysics. His research also explores machine learning for seismic fault characterization and has produced high-impact findings on fracture propagation and reservoir dynamics.

• Structural Engineering
• Material Mechanics
• Computational Mechanics
• +۵ مورد دیگر

Associate Professor Daniel Dias-da-Costa is a faculty member in the School of Civil Engineering at the University of Sydney. He holds a BS in Civil Engineering from the University of Porto and MSc/PhD from the University of Coimbra. His research focuses on computational mechanics, structural engineering, and material behavior, with a particular emphasis on fracture simulation, image processing for structural assessment, and sustainable construction materials. He has been affiliated with The Net Zero Institute and The University of Sydney Nano Institute. His research interests include advancing computational frameworks to bridge simulation and monitoring techniques, enhancing structural safety through predictive modeling of material failure (e.g., concrete cracking), and experimental testing of large-scale structures. He has developed novel algorithms and finite element methods to address complex nonlinear problems, such as crack propagation and stiff interface challenges. Dr. Dias-da-Costa has supervised current PhD students focusing on topics like 3D-printed concrete, microbial self-healing materials, and granular material dynamics. He has received awards for teaching excellence (2015–2016) and research contributions (Young Researcher Award in APMTAC, 2015). His work spans interdisciplinary collaborations, integrating AI, machine learning, and advanced materials to address modern infrastructure challenges. Key research outputs include contributions to energy-efficient concrete, fracture mechanics, and structural health monitoring technologies.

• Sustainable and Resilient Environments
• Workplace Safety and Health Risk Monitoring
• Digital Transformation in Project Management
• +۶ مورد دیگر

Dr. Hoonyong Lee is a Lecturer at the School of Project Management, Faculty of Engineering, University of Sydney. His research focuses on building sustainable and resilient environments through advanced safety and health risk management frameworks. PhD in Construction Science, Texas A&M University Postdoctoral Fellow, University of Michigan Member, Net Zero Institute and Brain and Mind Centre Research spans human sensing technologies , data analytics , and behavioral intervention design , with applications in: Construction Safety Management Smart Home Healthcare Fall Risk Assessment Household Energy Conservation His work combines wearable biosensors , Wi-Fi CSI , and machine learning for proactive risk identification. Recent projects focus on team cohesion in project management using physiological data analytics. 2024 Best Paper Award, Construction Research Congress 2024 Best Data Award Honorary Mention, ASCE DSA Committee Multiple award-winning publications (2012–2024) Teaching includes Project Acceptance and Project Planning courses. Leads Team L in developing adaptive intervention systems.

• 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.