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Chengguo ZhangView profile

Associate Professor

• Mining Engineering
• Geomechanics
• Numerical Analysis
• +6 more

Associate Professor Chengguo Zhang is a researcher at the University of New South Wales (UNSW Sydney) specializing in Mining Engineering and Geomechanics . His work focuses on improving mining safety and sustainability through fundamental and applied research on dynamic rock mass failures , groundwater-mining interactions , and data-driven visualization technologies . He currently serves as the Postgraduate Research Coordinator for the School of Mining Engineering. PhD in Mining Engineering from UNSW Sydney (2015) Coordinates postgraduate research programs Recipient of multiple teaching and research awards Research Interests: Zhang's work addresses critical mining industry challenges through: Quantification of energy sources and dissipation in rock masses for rockburst management Integration of AI data analytics and 3D visualization for geotechnical risk assessment Mine subsidence and coupled hydro-mechanical behavior of rock discontinuities Development of digital ground control management systems Article Trends: His recent publications demonstrate expertise in: Numerical modeling of rock fracturing mechanisms Nonlinear fluid flow analysis in fractured rock masses Shotcrete and ground support system evaluation Hydro-mechanical coupling during shear processes Energy-based coal burst risk classification Scientific Awards: Tim Shaw Award for Innovation in Teaching (2024) International Outstanding Young Scholar Award (2023) UNSW Education Excellence Award (2021) UNSW Research Excellence Award (2018) Research Supervision: Supervises 12 active PhD students (9 as primary/joint supervisor) and has guided 11 PhD completions (7 as primary/joint supervisor), including 3 Dean's Award recipients. Focuses on numerical modeling, data visualization, and machine learning applications in mining geomechanics.

Bikram BanerjeeView profile

Lecturer

• Remote Sensing
• Geospatial Science
• Environmental Monitoring
• +3 more

Dr. Bikram Banerjee is a Lecturer in Remote Sensing and Geospatial Science at the University of Southern Queensland, affiliated with the School of Surveying and Built Environment. He holds a PhD from UNSW, MTech from IIRS NRSA, and BTech from West Bengal University of Technology. His research focuses on geospatial technologies, machine learning applications in environmental monitoring, and precision agriculture. He is associated with the Centre for Agricultural Engineering, Centre for Crop Health, and Centre for Sustainable Agricultural Systems. Key research interests include UAV-based remote sensing for mine spoil characterization, hyperspectral imaging for crop phenotyping, and integrating IoT/ML for agricultural solutions. His work bridges environmental science, geotechnical engineering, and agricultural technology. Recent publications explore coal spoil analysis, mine safety automation, and vegetation health monitoring using advanced sensor technologies. Dr. Banerjee has supervised doctoral research on mobile laser scanning for underground mines, UAV-LiDAR applications, and proximal sensing for crop phenotyping. His research outputs have garnered over 2,327 views and 1,160 downloads, reflecting significant impact in geospatial and agricultural domains. He actively contributes to interdisciplinary projects addressing environmental sustainability and resource management challenges.

Roland N. HorneView profile

Professor

• Geothermal reservoir engineering
• Energy production optimization
• Well test interpretation
• +8 more

Roland N. Horne is the Thomas Davies Barrow Professor of Earth Sciences at Stanford University and Senior Fellow at the Precourt Institute for Energy. He holds positions in the Department of Energy Science & Engineering and is an Affiliate at the Stanford Woods Institute for the Environment. With degrees from the University of Auckland (BE, PhD, DSc), Horne has established himself as a leading expert in geothermal reservoir engineering and energy production optimization. His research focuses on inverse problems in reservoir modeling, including tracer analysis of fractures, computer-aided well test analysis, production schedule optimization, and automated history matching. Horne has made significant contributions to understanding geothermal reservoir engineering and multiphase flow of boiling fluids through porous materials and fractures. The analysis of his recent publications (2023-2025) reveals a strong emphasis on enhanced geothermal systems (EGS), with particular focus on flexible operations, economic modeling, and advanced characterization techniques. His work increasingly incorporates machine learning approaches for reservoir analysis and has expanded into microbial tracing methods for interwell connectivity assessment. There's also significant attention to US geothermal resource potential and integration into the broader energy transition. Honorary Member of the Society of Petroleum Engineers Member of the US National Academy of Engineering Multiple SPE Distinguished Lecturer appointments (1998, 2009, 2020) John Franklin Carl Award recipient Five Best Paper awards from Geothermal Resources Council Patricius Medal from German Geothermal Society Core Values Award from Women in Geothermal (2023) Horne has supervised 60 PhD and 135 MS students throughout his career. His current teaching includes undergraduate and graduate courses in Fundamentals of Energy Processes, Geothermal Reservoir Engineering, Mass and Energy Transport in Porous Media, and Well Test Analysis. He previously served as President of the International Geothermal Association (2010-2013) and Technical Program Chair for multiple World Geothermal Congress events. Horne maintains active research collaborations worldwide, including with the University of Tokyo (where he was a Fellow of the School of Engineering in 2016) and China University of Petroleum. His current research group focuses on advancing EGS technologies and developing more accurate reservoir characterization methods for geothermal applications.

• Mining Rock Mechanics
• Rock Mass Properties
• Underground Support Systems
• +2 more

Hakan Basarir is a Professor in the Department of Mining Engineering at the Norwegian University of Science and Technology (NTNU), Trondheim, Norway. His research and teaching focus on mining rock mechanics, rock mass characterization, underground support systems, and the application of soft computing methods in mining engineering. PhD in Mining Engineering (2002) 20+ years of research and teaching experience 60+ publications in journals and conferences Research Interests include rock mass property prediction using measurement while drilling (MWD) techniques, numerical modeling of mining structures, optimization of mine support systems, and sustainable material development. His work integrates machine learning and computational methods to address challenges in mining geomechanics and backfill design. Recent Publications highlight advancements in AI-driven lithology prediction, eco-concrete formulation, and backfill mixture optimization. He has also contributed to tunnel stability analysis and seismic rock slope modeling. Teaching includes advanced courses in mining engineering, mineral production modeling, and specialization projects in geotechnology.

Joel JohnsonView profile

Professor

• Gas Hydrate Systems
• Sedimentology
• Geological Oceanography
• +3 more

Joel Johnson is a Professor in the Department of Earth Sciences at the University of New Hampshire. He teaches courses in Earth History, Structural Geology, Sedimentology, Geotectonics, Geological Oceanography, and research-focused classes. With a Ph.D. in Geological Oceanography from Oregon State University and an M.S. in Structural Geology & Tectonics from the University of Illinois at Urbana-Champaign, his research spans gas hydrate systems, sedimentology, and methane cycling in marine environments. Ph.D., Geological Oceanography, Oregon State University M.S., Structural Geology & Tectonics, University of Illinois at Urbana-Champaign B.S., Geology, University of Minnesota Duluth His work examines gas hydrate dynamics in settings like Hydrate Ridge (Cascadia margin) and Svyatogor Ridge (Fram Strait), focusing on crustal processes , fluid flow mechanisms , and authigenic carbonate formation . Studies in the Gulf of Mexico and Indian continental margins analyze hydrate accumulation controls, while Arctic lake research explores methane emission temperature sensitivity and microbial influences . Collaborative projects include 3D seismic analysis , tectonic stress modeling , and monsoon-driven sedimentation in the Bay of Bengal and Andaman Sea. Recent publications highlight earthquake-enhanced carbon cycling in deep sediments (2023), primary deposition controls on gas hydrate reservoirs (2022), and crustal-scale methane systems in Arctic regions (2022). His 15 most recent articles span 2023-2014, emphasizing gas hydrate systems , methane seepage , sedimentary diagenesis , and tectonic influences on fluid flow. Subfields include authigenic carbonate formation , 3D seismic imaging , isotopic geochemistry , and late Quaternary climate reconstructions . Contact: Joel.Johnson@unh.edu

• Sedimentary Geology
• Stratigraphy
• Subsurface Fluid Flow
• +3 more

Professor Gary Hampson is a Professor of Sedimentary Geology at the Department of Earth Science & Engineering, Faculty of Engineering, Imperial College London. His roles include Director of Undergraduate Studies (2023–present) and former Director of the Petroleum Geoscience MSc course. He holds affiliations with the Energy Futures Lab, Grantham Institute, and NORMS research groups. Hampson's research focuses on depositional systems, stratigraphy, and subsurface reservoir characterization, with applications to CO2 storage and fluid flow dynamics. Education: PhD in Sedimentology and Sequence Stratigraphy, University of Liverpool (1991–1995) BA in Natural Sciences (Geology), University of Cambridge (1988–1991) Research Interests: His work integrates sedimentology, stratigraphy, and reservoir modeling to understand subsurface fluid dynamics. Key areas include sediment dispersal patterns, stratigraphic architecture, and the impact of heterogeneity on reservoir performance. Recent studies emphasize CO2 storage potential in sedimentary systems and the application of advanced modeling techniques. Articles Trends: Recent publications highlight CO2 storage mechanisms, sedimentological heterogeneity in reservoirs, and the use of machine learning in geological analysis. His work bridges theoretical stratigraphy with applied reservoir engineering, particularly in carbonates and fluvio-deltaic systems. Awards: 2020 IAMG Best Paper Award 2016 AAPG Bennison Lecturer 2010 SEPM Excellence Awards Advising & Grants: Hampson has advised numerous students and led projects on reservoir characterization. His editorial roles include co-chief editor of the Journal of Sedimentary Research and guest editorships in Petroleum Geoscience. Labs/Teams: Active in the Energy Futures Lab and NORMS initiative, focusing on novel reservoir modeling and simulation for subsurface energy systems.

Donat FähView profile

Professor

• Seismology
• Geophysics
• Earthquake Engineering
• +7 more

Prof. Donat Fäh is a faculty member at ETH Zurich's Institute of Geophysics, part of the Swiss Seismological Service (SED). His work focuses on advancing seismic hazard assessment and site response modeling in Switzerland and beyond. He leads interdisciplinary projects integrating geophysical surveys, machine learning, and empirical data to refine risk models for urban areas like Basel and Lucerne. Key contributions include developing the ERM-CH23 national earthquake risk framework and improving methodologies for nonlinear soil behavior analysis using KiK-net data from Japan. His research emphasizes high-resolution amplification mapping, subsurface characterization via ambient vibrations, and understanding glacial and subaqueous slope dynamics. Research interests span seismic site effects, soil mechanics, landslide stability monitoring, and the application of advanced geophysical inversion techniques. He collaborates internationally to enhance earthquake risk communication and building code compliance, particularly in low seismicity regions. Current efforts include refining 3D geophysical models for urban settings and exploring Bayesian methods for subsurface structure identification. His work bridges fundamental geophysical research with practical engineering solutions for infrastructure resilience. Advising and grants: No formal advisees or grant details are explicitly listed in the provided texts. His collaborative projects, however, suggest involvement in large-scale initiatives such as URBASIS and the Swiss strong-motion network modernization. Labs and teams: Prof. Fäh is affiliated with the Swiss Seismological Service (SED) and actively contributes to ETH Zurich’s seismic monitoring infrastructure. His team collaborates with institutions in Japan (KiK-net network) and applies cutting-edge geophysical techniques to study subglacial environments and lakebed geotechnics.

Yiguo XueView profile

Professor

• Geotechnical Engineering
• Structural Engineering
• Tunnel Engineering
• +2 more

Yiguo Xue is a Professor and PhD Tutor at the Geotechnical and Structural Engineering Center, School of Civil Engineering, Shandong University. He has contributed extensively to tunnel engineering, subsea infrastructure, and slope stability analysis through advanced prediction models and numerical simulations. Research Interests: New tunnel geological condition prediction technologies Subsea tunnel and underground energy storage systems High slope stability evaluation Engineering exploration methods His recent work focuses on tunnel safety, subsea structural mechanics, and AI-driven hazard prediction models. Publications highlight his expertise in rockburst analysis, water inrush risk, and excavation optimization using machine learning and numerical frameworks. Scientific Awards: Recipient of China's Top 100 Most Influential Domestic Academic Paper Award (2008 paper on tunnel geological hazard forecasting) He has secured multiple national invention patents for tunnel monitoring devices (e.g., vibration sensors, collapse prediction systems) and developed specialized software for displacement prediction and rock classification.

Dimitrios ZekkosView profile

Associate Professor

• Geotechnical Engineering
• Earthquake Engineering
• Landslide Dynamics
• +4 more

Dimitrios Zekkos is an Associate Professor at the University of Michigan's College of Engineering, Department of Civil and Environmental Engineering. He holds affiliations with the Center for South Asian Studies (CSAS) as faculty and serves as Founder & CEO of ARGO-E LLC, a geotechnical consultancy. His expertise spans geotechnical engineering, natural hazards, and remote sensing applications. Education: PhD (2005), MS (2002) – University of California, Berkeley; Ptychion (2001) – University of Patras, Greece. Research focuses on landslide dynamics, seismic ground response, UAV-enabled disaster assessment, and waste management systems. His work integrates field observations with advanced computational methods to address challenges in infrastructure resilience and environmental sustainability. Key projects include: Regional landslide hazard modeling in Nepal/Puerto Rico Co-seismic landslide mobility prediction Flood impact analysis in mountainous regions Structural health monitoring of civil infrastructure Zekkos' contributions to geotechnical engineering include novel liquefaction assessment procedures for gravelly soils and innovative applications of unmanned aerial vehicles for post-disaster reconnaissance. His research has been supported by NSF, NASA, and international collaborations.

Giuseppe QuarantaView profile

Associate Professor

• Structural Monitoring and Control
• Sensing systems for structural monitoring
• Dynamic identification
• +9 more

Giuseppe Quaranta is an Associate Professor in the Department of Structural and Geotechnical Engineering at Sapienza University of Rome, Faculty of Civil and Industrial Engineering. He is actively engaged in teaching Construction Techniques and Construction Process Management, and maintains regular office hours for students. His research focuses on structural monitoring, dynamic identification, seismic protection systems, and AI applications in civil engineering. Department: Department of Structural and Geotechnical Engineering Faculty: Faculty of Civil and Industrial Engineering Institution: Sapienza University of Rome Email: giuseppe.quaranta@uniroma1.it Dr. Quaranta's research interests span structural monitoring and control, sensing systems, dynamic identification, diagnostics of civil structures, passive vibration control devices, structural concrete, and the analysis and design of reinforced concrete and composite steel-concrete structures. His work integrates computational modeling, experimental validation, and data-driven approaches, particularly using artificial intelligence and machine learning for structural health monitoring and seismic assessment. He investigates energy harvesting using piezoelectric materials for powering wireless sensors in smart infrastructure. The recent publications of Dr. Quaranta demonstrate a strong trend toward energy-based seismic engineering, machine learning for structural performance prediction, nonlinear dynamics of isolation systems, and advanced modal identification techniques. His work combines theoretical modeling, numerical simulation, and experimental testing, with applications to bridges, buildings, and historical structures like the Leaning Tower of Pisa and the Colosseum. Dr. Quaranta is involved in the research project titled "Smart technologies and decision support tools for the assessment of deteriorating reinforced concrete infrastructures in seismic areas at territorial scale," which aligns with his expertise in corrosion hazard mapping, seismic resilience, and smart monitoring systems. While student advising is implied through research collaboration, specific names of advisees are not listed in the provided materials. Smart technologies and decision support tools for the assessment of deteriorating reinforced concrete infrastructures in seismic areas at territorial scale His research team conducts experimental and computational studies on structural systems, including dynamic monitoring of iconic structures such as the Leaning Tower of Pisa and the Colosseum. The lab focuses on developing and applying advanced signal processing techniques, nonlinear system identification methods, and AI-driven tools for structural health monitoring and seismic risk assessment.

• Mining Methods
• Mine System Analysis
• Rock Mechanics
• +4 more

Cüneyt Atilla Öztürk is an Associate Professor at the Department of Mining Engineering, Faculty of Mines, Istanbul Technical University. He holds a PhD in Mining Operations from the same institution (2006) and has been a faculty member since 2010. His research focuses on mining methods, rock mechanics, mine economics, and mine system analysis with a particular emphasis on underground and open-pit mining challenges. Education: PhD in Mining Operations, Istanbul Technical University (2002–2006) MSc in Mine Excavation and Mechanization, Istanbul Technical University (1999–2001) BSc in Mining Engineering, Istanbul Technical University (1993–1998) Research Interests: Dr. Öztürk’s work addresses critical aspects of mining engineering including support system design for underground mines, slope stability analysis in open-pit operations, and geotechnical modeling of mine sites. His recent studies focus on optimizing mine planning through digital data systems and enhancing safety in seismically active underground environments. Awards: Department First Rank Graduation Award (1998) Cemal Birön Success Award (1997) Grants & Projects: He has led over 13 projects including geotechnical modeling for TVF Mining’s gold mine site (2023), slope stability analysis for Avnik Iron Works (2023), and production optimization in coal mining operations (2020–2022). His consultancy work includes advising on rock mechanics for Balikesir Balya underground mines and Nigde Bolkar polymetallic operations. Professional Memberships: ITU Alumni Association (2018–present) TMMOB Chamber of Mining Engineers (1998–present)

• Groundwater Flow
• Permafrost Hydrogeology
• Water Balance Modeling
• +5 more

Dr. Victor Bense is an Associate Professor in Hydrology and Environmental Hydraulics at Wageningen University & Research. His expertise spans groundwater flow dynamics, permafrost hydrogeology, and numerical modeling of subsurface systems. He leads interdisciplinary projects addressing climate change impacts, groundwater management, and coral reef health in the Caribbean. Research interests include groundwater extraction effects, thermal regimes, and sustainable resource management. He has supervised multiple PhD candidates, including studies on managed aquifer recharge in Bangladesh, hydrogeological characterization of Gorongosa National Park, and permafrost dynamics in Arctic regions. His work integrates field data, numerical modeling, and environmental tracers to address complex hydrogeological challenges. Key contributions include modeling groundwater systems in Iran's mining regions, analyzing Caribbean coral reef water composition, and developing tools for basin-scale groundwater availability projections. Bense actively engages in knowledge exchange, contributing to media discussions on water scarcity and sustainable policy development.

Rosemary WillattView profile

Lecturer

• Sea Ice Physics
• Cryosphere Dynamics
• Climate Science
• +4 more

Rosemary Willatt is a Lecturer in Experimental Ice and Rock Physics for the Environment at the University College London (UCL) Department of Earth Sciences. Her research focuses on sea ice dynamics in polar regions, combining laboratory experiments with fieldwork and remote sensing techniques. She leads projects involving satellite radar altimetry for monitoring snow and ice thickness, with a particular emphasis on advancing Earth Observation missions through the Polarimetric Synthetic Aperture Radar Altimeter (PoSARA) concept. She has been awarded the inaugural Konrad Steffen Award by ESA for her innovative work on snow depth estimation techniques. Willatt’s work integrates field campaigns (e.g., in the Arctic and Antarctic) with analysis of airborne, satellite, and ground-based radar data. She collaborates with space agencies to optimize satellite mission design and has pioneered novel methods for quantifying snow properties and their impacts on cryosphere processes. Her contributions include advancements in understanding brine migration in snow, L-band microwave scattering, and wind-driven snow redistribution effects on radar signatures. As Principal Investigator for the ESA-funded PoSARA project and Sea Ice Earth Observation at the Centre for Polar Observation and Modelling (CPOM), she bridges experimental physics with large-scale climate monitoring. Her research also emphasizes education, diversity, and sustainability initiatives within the scientific community.

David PeacockView profile

Researcher

• Structural Geology
• Geothermics
• Fracture Analysis
• +3 more

Dr. David Peacock is a researcher affiliated with the Department of Structural Geology and Geothermics at the University of Göttingen, Germany. He is a member of the MEET group and focuses on structural geology, geothermics, and fracture analysis. His work integrates field observations, geophysical data, and theoretical models to study fault systems, geothermal reservoirs, and fluid flow dynamics. Research interests include fracture mechanics, fault network evolution, and the application of structural analysis to geothermal exploration. He has contributed to studies in the Harz Mountains and other regions, emphasizing the interplay between tectonics, fluid dynamics, and subsurface processes. Dr. Peacock’s methodologies involve high-resolution seismic analysis, Mohr diagram stress modeling, and virtual outcrop databases. His publications span structural terminology, fracture sequencing, and geothermal reservoir characterization. Collaborations with the MEET group highlight interdisciplinary approaches to energy and subsurface challenges.

• Rock Engineering
• Engineering Geology
• Tunneling
• +7 more

Krishna Kanta Panthi is a Professor at the Department of Geoscience , Faculty of Engineering , Norwegian University of Science and Technology (NTNU). With over 31 years of experience in rock engineering, tunnelling, and hydropower projects, he leads international initiatives like the NORHED II Project (2021-2026), training 4 PhD fellows and 90 MSc graduates in Nepal. His work spans Norway, Nepal, and Vietnam, focusing on technical advisory roles and project management. Professor (2018–present), NTNU Associate Professor (2008–2018), NTNU Consultant (2006–2008) for hydropower projects in India and Nepal His research integrates Rock Engineering , Engineering Geology , and Tunneling to address long-term stability of hydropower tunnels, stress-induced instability, and swelling rock dynamics. Recent projects highlight applications of machine learning in rock mass classification and 3D stress modeling for Norwegian hydropower sites. From 2025 publications, key trends include empirical vs. numerical support analysis , ML-driven tunneling optimization , and swelling rock management . Subfields span TBM performance prediction, wedge stability, fault stress distribution, and plastic deformation in flysch. These align with his focus on Himalayan and Norwegian geological challenges. He has supervised numerous Master’s theses and PhD projects , including Dr. Pawan Kumar Shrestha’s 2014 PhD on tunnel strain in Nepal and Dr. Bibek Neupane’s 2021 work on unlined tunnel fatigue. His outreach includes technical advisory roles for projects in Nepal and Vietnam.