Deep Learning in Geotechnical Testing Professors and Supervisors | ApplySharif

جست‌وجوی استاد و پژوهشگر

استاد راهنما، استاد دانشگاه یا پژوهشگر مناسب برای مسیر پژوهشی‌تان را پیدا کنید و با او ارتباط بگیرید.

نمایش ۱۰۶-۱۲۰ از ۱۴۶ استاد راهنما

اطلاعات این پروفایل‌ها از صفحات عمومی دانشگاه‌ها جمع‌آوری شده و ممکن است به‌روز نباشد.

Ehsan Joratمشاهده پروفایل

عضو هیئت علمی

Abertay UniversityUnited Kingdom

Ehsan Jorat is a Reader in Geo-environmental Engineering at Abertay University, where he serves as Programme Leader for Civil & Environmental Engineering (BEng/MEng). He is affiliated with the Department of Built Environment and Life Sciences within the School of Science, Engineering and Technology. With over ten years of experience in geotechnical engineering, he has held academic and industry roles in Malaysia, Iran, Germany, and the UK. PhD in Geotechnical Engineering – University of Bremen (Germany) & University of Waikato (New Zealand), 2014 MEng in Geotechnical Engineering – University of Technology Malaysia, 2010 Dr. Jorat's research focuses on applied geotechnics, particularly soil carbon sequestration, microbial-induced calcite precipitation, digital soil mapping, and sustainable civil engineering. He is currently leading work on the SUCCESS project (Sustainable Urban Carbon Capture: Engineering Soils for Climate Change), funded by EPSRC, which investigates soil carbonation’s impact on flood risk and develops measurement systems for the process. His research also includes soft soil stabilization, advanced CPTu testing, and AI applications in soil analysis. The most recent publications reflect a strong trend toward sustainability, climate change mitigation, and innovative soil engineering techniques. Key themes include carbon sequestration in urban soils, environmental impact of construction on wetlands, greenhouse gas emissions from biogeochemical processes, and optimization of soil sampling using AI-driven statistical methods. These works appear in high-impact journals such as Geoderma , European Journal of Soil Science , and Sustainability . Dr. Jorat has secured over £1 million in research funding as both Principal Investigator and Co-Investigator. He actively supervises PhD students and welcomes new candidates interested in geoenvironmental research at Abertay University. He teaches core modules including Geotechnical Engineering, Structural Design, and Advanced Geotechnical Engineering. His research contributes to multiple UN Sustainable Development Goals, particularly those related to climate action, sustainable cities, and responsible consumption. He has also contributed to open datasets on microbial-induced calcite precipitation and mineralogical drill core analysis, enhancing reproducibility and collaboration in geoscience.

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Bin Gongمشاهده پروفایل

پژوهشگر ارشد

Brunel University LondonUnited Kingdom

Dr. Bin Gong is an MSCA Research Fellow at Brunel University London, affiliated with the Civil and Environmental Engineering department under the College of Engineering, Design and Physical Sciences. His research focuses on computational geomechanics, rock fracture mechanics, and geohazard risk assessment and mitigation. Ph.D. in Geotechnical Engineering (2015–2019), Dalian University of Technology M.Sc. in Civil Engineering (2012–2015), Dalian University of Technology B.Sc. in Civil Engineering (2008–2012), Lanzhou University Dr. Gong specializes in developing multiscale and probabilistic models to characterize geomaterial inhomogeneity and simulate slope failure and landslide dynamics. He pioneered an adaptive continuous-to-discontinuous numerical method for crack propagation analysis in jointed rock masses, with applications to rockfall, debris flow, and rock avalanche investigations. His work integrates RFPA (Rigid Body Spring Method) and DEM (Discrete Element Method) for advanced rock fracturing simulations. Recent publications highlight his expertise in computational geomechanics, with a focus on rock fracture initiation, progressive slope failure under environmental stresses, and numerical methods for simulating geological material behavior. He applies machine learning and cloud computing to model complex geotechnical systems, emphasizing disaster prevention strategies.

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Wei Songمشاهده پروفایل

دانشیار

University of AlabamaUnited States

Dr. Wei Song is an Associate Professor in the Department of Civil, Construction and Environmental Engineering at The University of Alabama, College of Engineering. He directs the Intelligent Systems and Structural Dynamics Laboratory and focuses on developing innovative cyber-physical systems for improving disaster resilience and energy efficiency of structures. Dr. Song's educational background includes: Ph.D., Civil Engineering, Purdue University, 2011 M.S., Systems Science and Mathematics, Washington University in St. Louis, 2008 M.S., Structural Engineering, Tongji University, 2004 B.S., Civil Engineering, Tongji University, 2001 His research interests span structural dynamics under hazardous loads, structural condition assessment, advanced experimental platforms, machine learning applications, and cyber-physical systems design. Dr. Song's work particularly addresses challenges in developing resilient and sustainable communities through civil engineering, with emphasis on next-generation structural condition assessment and retrofitting tools. His laboratory develops innovative systems based on smart damping and sensing devices combined with intelligent algorithms and control strategies. Dr. Song's recent publications demonstrate a strong focus on real-time hybrid simulation techniques, deep learning applications for structural health monitoring, and innovative approaches to structural control. His work bridges traditional civil engineering with cutting-edge computational methods, particularly in crack detection, structural dynamics, and community resilience against natural hazards. Dr. Song has received numerous honors including the 2021 O. H. Ammann Research Fellowship and has advised award-winning students like Shanglian Zhou. He serves as Associate Editor for Engineering Structures and Frontiers in Built Environment, and is actively involved in professional organizations including ASCE technical committees on Structural Identification and Structural Control and Sensing. His laboratory conducts research on structural control systems using MR dampers, mass dampers, base isolation platforms, structural condition assessment of bridges, and real-time hybrid simulation. Dr. Song has also been involved in significant projects related to Alabama's infrastructure, including monitoring the Tuscaloosa Box Girder Bridge and investigating cross-frame behavior in steel girder bridges.

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Shujian Chenمشاهده پروفایل

مدرس

University of QueenslandAustralia

Dr. Shujian Chen is a Lecturer in Structural Engineering at the School of Civil Engineering , University of Queensland . With a PhD from Monash University, his research focuses on nanomaterials in cement/concrete , 3D printing for advanced construction , and microstructure characterization . He has developed carbon-based nanoengineered materials to reduce cement usage and greenhouse emissions. Key Research Themes: Self-healing concrete, graphene oxide reinforcement, 3D-printed composites, and multiscale material analysis Supervision: Available for PhD/Master's students in structural sustainability and advanced material design Scientific Awards: ARC Discovery Project (2023-2026): pH-sensitive self-healing concrete using sludge waste ARC Discovery Early Career Researcher Award (2019-2021): 3D-printed foam concrete

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Mihaela Anca Ciupalaمشاهده پروفایل

دانشیار

University of East LondonUnited Kingdom

Dr Mihaela Anca Ciupala is a Reader in Structural Engineering at the University of East London's Department of Engineering & Construction within the School of Architecture, Computing and Engineering. With over 30 years of research and consultancy experience, she specializes in structural seismic damage assessment, sustainable retrofitting solutions, and AI applications in structural engineering. Her interdisciplinary work bridges civil engineering, environmental science, and digital technologies. Her educational background includes a PhD in Earthquake Engineering and Safety of Structures from Technical University 'Gh Asachi' Iasi, Romania (1999), an MEng Honours in Civil Engineering from the same institution (1991), and an MBA in General Management from the University of East London (2009). Dr Ciupala's research focuses on structural seismic damage assessment , sustainable seismic retrofitting , AI and Cyber Physical Systems for engineering applications , and sustainable built environments . Her work integrates advanced computational methods with practical engineering solutions to address climate resilience and structural safety challenges. She has pioneered research in FRP composites for structural strengthening and sustainable green infrastructure solutions. Her publication portfolio spans seismic engineering, sustainable materials, and AI applications, demonstrating a clear trajectory toward data-driven structural solutions and sustainable building practices. Recent work emphasizes deep learning for post-earthquake damage classification and cyber-physical systems for structural monitoring. EU Marie Curie Individual Research Fellowship recipient Active reviewer for international journals and research councils Member of International Federation for Structural Concrete Task Group 5.1 Expert evaluator for EU Horizon Europe and Horizon 2020 programs As an educator, Dr Ciupala has supervised numerous PhD students across interdisciplinary topics including structural health monitoring, sustainable housing finance, and green infrastructure. She has led significant research projects including the Global Challenge Research Fund initiative on seismic retrofitting in Turkey and UEL-funded cyber-physical systems research. Her leadership extends to roles as Research Degrees Leader (2007-2023) and Sustainability Champion within her school. Dr Ciupala maintains active collaborations with institutions including Istanbul Technical University, Tongji University, and the University of Michigan, focusing on sustainable engineering solutions and advanced material applications.

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Yazen Khasawnehمشاهده پروفایل

دانشیار

University of Notre DameUnited States

Yazen Khasawneh serves as an Associate Teaching Professor in the Department of Civil and Environmental Engineering and Earth Sciences at the University of Notre Dame, with his office located in 169 Fitzpatrick Hall of Engineering, Notre Dame, Indiana. He can be contacted via phone at 574-631-6245 or email at ykhasawn@nd.edu. His academic qualifications include: Ph.D. in Civil Engineering from Purdue University M.S. in Civil Engineering from the University of Illinois Bachelor's degree in Civil Engineering from Jordan University of Science and Technology Prof. Khasawneh possesses extensive industrial experience in the design, construction, and retrofit of onshore wind turbine foundations, underground structures, deep foundations, geodesigns, slope stabilization, and high-rise building foundations. His research expertise centers on computational geotechnics, soil-structure interaction, structural and soil response to dynamic loading, constitutive modeling, forensic engineering, and multi-scale geotechnical testing and instrumentation. Notably, he developed a method to estimate rotational stiffness of existing wind turbine foundations using accelerometer frequency signatures from turbine hubs and is currently investigating dynamic wind turbine tower responses and deep machine learning applications for soil constitutive modeling from instrumentation data. He maintains active professional standing as a registered Professional Engineer in the state of Michigan, bridging industrial practice with academic research in geotechnical engineering.

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Daniele Martinelliمشاهده پروفایل

دانشیار

Polytechnic University of TurinItaly

Daniele Martinelli is an Associate Professor at the Polytechnic University of Turin within the Department of Environment, Land and Infrastructure Engineering (DIATI). He is a member of the Future Urban Legacy Lab (FULL) and actively contributes to research and teaching in geomechanics, tunneling, and sustainable mining. His work aligns with UN SDG goals for clean energy, industrial innovation, and sustainable cities. Research Interests: Geomechanics, Mining, Numerical Modelling, Tunneling, Underground Space Use Skills: Excavation Engineering, Safety, Geotechnics, Geoenvironmental Compatibility Recent Research Trends: Focus on geotechnical risk assessment in tunneling, rock fragmentation by blasting, and innovative grouting techniques. His projects emphasize sustainable underground construction and climate change adaptation in engineering. Scientific Awards: Learning to Teach (L2T) Open Badge (2024) Advising and Grants: Supervises PhD students Lorena Di Toro and Davide Gallione, with ongoing projects like ARCITunLin (2025-2026) and commercial research on rock excavation stability (2018-2025). Serves on editorial boards for journals like GEAM. Environmental and Mining Geoengineering and scientific committees for World Tunneling Congresses. Labs and Teams: Affiliated with the Tunnelling & Rock Engineering - TRE (DIATI) lab and contributes to interdisciplinary research in urban legacy solutions.

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Mohammad Sadeghiمشاهده پروفایل

استادیار

Michigan Technological UniversityUnited States

Dr. Mohammad Sadeghi is an Assistant Professor in Civil, Environmental, and Geospatial Engineering at Michigan Technological University, with an affiliated Assistant Professorship in Geological and Mining Engineering and Sciences. He holds a PhD in Civil Engineering (Geotechnical focus) from Michigan Tech, and prior degrees from Amirkabir University of Technology and Yazd University. Before joining MTU, he served as an Assistant Professor at Montana Technological University (2016-2019), where he secured $300k+ in external grants. His research focuses on bio-inspired ground improvement, AI-driven geotechnical solutions, mine tailings remediation, and geotechnical hazards. Education: PhD, Civil Engineering (Geotechnical), Michigan Tech (2019) MS, Mining Engineering, Amirkabir University (2015) BS, Mining Engineering, Yazd University (2012) Research Interests: Bio-mediated geotechnics, machine learning applications in geotechnics, MWD technology, slope stability, underground structure safety, and abandoned mine remediation. His work emphasizes sustainable construction practices and reducing carbon footprints through innovative geotechnical solutions. Recent research trends include: Microbially induced calcite precipitation (MICP) techniques Artificial intelligence for geophysical data analysis Abandoned mine stability modeling Geotechnical hazard mitigation strategies Grants & Roles: Principal Investigator (PI) on projects funded by Montana DOT ($155k MWD analysis, $33k geofoam calibration) and Fitzgerald Law Firm ($17k abandoned mine mapping). Co-PI on NSF-funded interdisciplinary environmental engineering research ($198k). Labs/Teams: Leads a multi-disciplinary research group focusing on bio-geotechnics and AI applications. Collaborates with industry partners in construction and mining sectors.

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Dryver Hustonمشاهده پروفایل

استاد

University of VermontUnited States

Dr. Dryver Huston is a Professor in the Department of Mechanical Engineering at the University of Vermont (UVM). He has been affiliated with UVM since 1987 and received the Kroepsch-Maurice Excellence in Teaching Award (2012). His academic background includes a Ph.D. (1986) and M.A. (1982) from Princeton University, and a B.S. (1980) from the University of Pennsylvania. Dr. Huston’s research focuses on Smart Cities and Structures , Structural Health Monitoring , Subsurface Infrastructure Sensing , and Electromechanical Systems . His work integrates advanced technologies like ground-penetrating radar (GPR) , robotics , augmented reality (AR) , and IoT sensors to address challenges in civil infrastructure resilience, environmental monitoring, and materials science. Notable projects include the Hydraulic Inspection Vehicle Explorer (HIVE) for culvert assessment and Chitosan-based materials for concrete durability enhancement. Selected Awards: Kroepsch-Maurice Excellence in Teaching Award (2012) Research & Technical Contributions: Developed cognitive GPR systems for subsurface object detection using deep reinforcement learning. Advanced orbital angular momentum (OAM) radar and phased array technologies for improved subterranean sensing. Pioneered mechanomagnetic telemetry for monitoring underground water infrastructure. His publications span IEEE Transactions , Journal of Materials in Civil Engineering , and Transportation Research Record , with a focus on sensor integration, infrastructure assessment, and environmental sustainability. Labs & Teams: His research involves collaborations with UVM’s College of Engineering and partnerships with agencies like the National Science Foundation (NSF), emphasizing interdisciplinary problem-solving in civil and mechanical engineering domains.

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Ye Luمشاهده پروفایل

دانشیار

Monash UniversityAustralia

Ye Lu is an Associate Professor in Structural Engineering at Monash University's Department of Civil and Environmental Engineering, leading the Civil Master Program. He holds a PhD in Mechanical Engineering from the University of Sydney (2007) and has been awarded an Australian Research Council (ARC) Discovery Project and ARC Australian Postdoctoral Fellowship (2008). His research focuses on structural health monitoring, smart materials, and artificial intelligence applications in civil engineering infrastructure. Dr. Lu leads projects such as the ARC Research Hub for Smart Next Generation Transport Pavements and the Non-contact Integrity Assessment of High-rise Building Facades. Education: PhD in Mechanical Engineering, University of Sydney, Australia (2007) Research Interests: Structural health monitoring Smart materials and structures Advanced signal processing and AI Infrastructure durability Projects: SPARC: ARC Research Hub for Smart Transport Pavements (2019–2025) Non-contact Façade Panel Integrity Assessment (2020–2025) Smart Sensing for Construction Monitoring (2019–2024) Awards: ARC Australian Postdoctoral Fellowship (2008) ARC Discovery Project Grant (2008) Teaching & Advising: PhD supervision in structural engineering and smart materials Courses: CIV3294, CIV5135 (Advanced Structural Design), CIV5887 (Infrastructure Monitoring) Labs/Teams: Leader of the Civil Master Program, collaborator in interdisciplinary projects across Monash and industry partners like Transurban and EON Reality.

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Hamed Ebrahimianمشاهده پروفایل

استادیار

University of Nevada, RenoUnited States

Hamed Ebrahimian is an Assistant Professor in the Department of Civil & Environmental Engineering at the University of Nevada, Reno (UNR). He holds a PhD in Structural Engineering from UC San Diego and completed postdoctoral research at Caltech. His research focuses on integrating computational models with sensory data, Bayesian inference, and wildfire engineering. Key areas include structural health monitoring, nonlinear finite element modeling, and disaster resilience. He is actively recruiting motivated PhD students and postdoctoral scholars for projects in data assimilation, offshore wind turbine systems, and wildfire risk assessment. Education: PhD in Structural Engineering, UC San Diego Postdoctoral Scholar, California Institute of Technology (Caltech) Research Interests: Wildfire simulation and risk assessment Bayesian model updating and digital twinning Structural health monitoring and nonlinear mechanics Offshore wind turbine dynamics Experimental and computational structural mechanics Article Trends: Recent work emphasizes wildfire modeling (fuel characterization, firebrand spotting), offshore wind turbine structural analysis, and Bayesian methods for system identification. Over 40 publications span structural engineering, environmental systems, and computational mechanics. Advising & Grants: Seeks candidates with strong programming skills (Python, C++) and background in nonlinear mechanics or data science. Active projects funded by NSF CAREER and industry collaborations. Lab/Teams: Leads UNR's interdisciplinary research group focusing on computational modeling, data-driven decision making, and infrastructure resilience.

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Sandra Rodriguesمشاهده پروفایل

پژوهشگر ارشد

University of QueenslandAustralia

Dr Sandra Rodrigues is an Honorary Senior Research Fellow at the School of the Environment, University of Queensland. Her research focuses on coal petrology, carbon materials, and geochemistry, with emphasis on thermal maturation, organic geochemistry, and coal seam gas potential. She has authored over 60 peer-reviewed articles, contributing to global understanding of coal structure, hydrocarbon generation pathways, and applications in energy and environmental sectors. Her work spans coal characterization via hyperspectral imaging, coking behavior analysis, and high-temperature material transformation studies. Key projects include investigations into the Toolebuc Formation’s unconventional gas potential and thermal evolution in Mozambique’s Moatize Basin. Rodrigues collaborates internationally on coal classification systems (e.g., ICCP Working Groups) and has pioneered deep learning applications in coal reflectance measurement. Recent research highlights include studies on lithium-enriched coals in China, Jurassic fluid events in Australian basins, and carbon isotope evidence of methane clathrate release during deglaciation. Her interdisciplinary approach bridges geology, chemistry, and engineering, addressing challenges in resource characterization, environmental management, and energy sustainability.

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Goh Siang Huatمشاهده پروفایل

دانشیار

National University of SingaporeSingapore

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.

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Herbert F. Wangمشاهده پروفایل

استاد

University of Wisconsin-MadisonUnited States

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.

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Daniel Dias-da-Costaمشاهده پروفایل

دانشیار

University of SydneyAustralia

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.

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