Find Academic Supervisors

Jay Sui TungView profile

Assistant Professor

• Remote Sensing
• Computer Modeling
• Machine Learning
• +7 more

Dr. Jay Sui Tung is an Assistant Professor in the Department of Geosciences at Texas Tech University, affiliated with the College of Arts and Sciences. His work focuses on geophysical modeling of natural and anthropogenic surface deformation processes, including earthquakes, volcanic eruptions, and energy-related activities. He holds a Ph.D., M.Phil., and B.Sc. in Earth Sciences and Physics from the University of Hong Kong. Education: 2013: Ph.D. Earth Sciences, University of Hong Kong 2009: M.Phil. Physics, University of Hong Kong 2007: B.S. Physics, University of Hong Kong Research Interests: Dr. Tung uses remote sensing, numerical models, and machine learning to study crustal processes linked to natural hazards and climate change. His work addresses induced seismicity from wastewater injection, energy systems, and coastal impacts of sea-level rise. Recent work includes a 2020 study on the Mentone earthquake linked to wastewater disposal. Labs/Teams: He leads the GeoModeling for Earth Sustainability (GES) Lab, which investigates geomechanical and hydrogeological processes to mitigate risks from human-induced and natural hazards. Recruitment: Actively hiring a Postdoc Research Associate and PhD students (Fall 2024).

Arman KhoshghalbView profile

Senior Lecturer

• Numerical Modelling
• Multi-phase Porous Media
• Unsaturated Soils
• +3 more

Dr. Arman Khoshghalb is a Senior Lecturer in Geotechnical Engineering at the School of Civil and Environmental Engineering, UNSW Sydney, where he has been a faculty member since 2012. His academic credentials include a PhD in Geotechnical Engineering from UNSW (2012), an MSc from Sharif University of Technology (2005), and a BSc in Civil Engineering from the same institution (2003). His research focuses on numerical modeling of multi-phase porous media , with emphasis on unsaturated soils, large deformation analysis, and dynamic soil behavior. Key areas include meshfree computational methods, soil-structure interaction, bio-cementation, and thermo-hydro-mechanical processes in geotechnical systems. His work bridges theoretical advancements with practical applications in slope stability, foundation engineering, and sustainable ground improvement. Dr. Khoshghalb's publications predominantly explore geomechanical modeling, experimental soil mechanics, and computational techniques. Recent trends highlight innovations in bio-cemented soils, thermal properties of unsaturated soils, and adaptive numerical methods for complex geotechnical simulations. Awards & Honors: IACMAG Excellent Paper Award (2017) UNSW Research Excellence Award (2012) Advising & Grants: He has supervised 7+ PhD students on topics ranging from weak rock mechanics to computational geomechanics. Funded projects include: ARC Discovery Project (2019–2021): "Non-isothermal dynamic strain localisation in unsaturated porous media" ($298,257) ARC Linkage Infrastructure Grant (2015): "Earthquake shaking table for soil-structure interactions" ($320,000) ARC Linkage Project (2014–2017): "Constitutive modelling of weak rocks" ($314,280) He leads research within UNSW's geotechnical engineering group, collaborating on large-scale experimental testing and computational frameworks for infrastructure resilience.

William HarbertView profile

Professor

• Geophysics
• Seismic Processing
• Microseismic Analysis
• +5 more

William Harbert is a Professor in the Department of Geology and Environmental Science at the University of Pittsburgh, where he leads research in geophysics and subsurface characterization. His work bridges fundamental geophysical principles with practical applications in energy and environmental systems. Education: MS in Exploration Geophysics from Stanford University PhD in Geophysics from Stanford University Research focuses on seismic analysis across multiple scales, from micro-CT to surface seismic. His group specializes in advanced processing of microseismic, reflection seismic, and VSP data to image subsurface structures and understand pore-scale dynamics. Current work integrates deep learning for geophysical object detection and classification, with emphasis on organic shale systems and CO 2 storage monitoring. Key areas include rock physics, microseismicity analysis, and environmental geophysics for water quality assessment. Publication trends show strong emphasis on energy-related geophysics, particularly hydraulic fracturing monitoring, CO 2 sequestration verification, and unconventional reservoir characterization. Recent work increasingly incorporates machine learning techniques and addresses environmental monitoring challenges in subsurface operations. Scientific recognition: DOE ORISE Research Associate Resident Institute Fellow of the NETL-Institute for Advanced Energy Solution Professional engagements include membership on the Altarock Review Board for DOE-funded geothermal projects and prior service on the Scientific Advisory Board for the In Salah CO 2 Injection Project. His research involves extensive collaboration with national laboratories and industry partners on subsurface monitoring technologies. His laboratory group develops advanced geophysical processing techniques for subsurface imaging across multiple scales, with current projects focusing on microseismic monitoring of shale reservoirs and CO 2 storage sites.

Sohrab ZendehboudiView profile

Professor

• Energy and Environment
• Process Systems Engineering
• Transport Phenomena
• +5 more

Dr. Sohrab Zendehboudi is an Equinor Chair Professor and research lead in the Department of Chemical and Process Engineering at Memorial University's Faculty of Engineering and Applied Science. His work focuses on energy and environmental challenges through experimental and modeling approaches. He has over 15 years of experience across academia and industry in Iran, Kuwait, the U.S., and Canada. He holds a PhD in Chemical Engineering (specializing in transport phenomena) from the University of Waterloo. Research interests include carbon capture, utilization, and sequestration (CCUS), renewable energy systems, process systems engineering, and advanced wastewater treatment. He leads a large research team addressing theoretical and practical challenges in energy sustainability and environmental protection. Key achievements include the 2023 Lectureship Award. His publications span topics like hydrogen production, CO2 storage, solar energy systems, and novel adsorbent materials. He actively seeks graduate students and researchers skilled in experimental work, numerical modeling, and machine learning for energy applications. Education: PhD in Chemical Engineering (University of Waterloo) Key Areas: CO2 Management, Bioenergy, Adsorption Technologies Labs/Teams: Large interdisciplinary research group Grants: Focus on renewable energy and sustainability projects

George MoridisView profile

Professor

• Numerical simulation
• Unconventional gas resources
• Gas production from hydrate deposits
• +4 more

George Moridis is a Professor in the Harold Vance Department of Petroleum Engineering at Texas A&M University, holding the Robert L. Whiting Chair in Petroleum Engineering. He specializes in advanced numerical methods for reservoir engineering, with a focus on unconventional gas resources, gas hydrates, and coupled process modeling. His work integrates thermal operations, enhanced oil recovery, and high-performance computing. Education: Ph.D., Reservoir Engineering, Texas A&M University (1987) M.S., Agricultural Engineering, Texas A&M University (1982) M.Eng., Chemical Engineering, National Metsovion Technical University (1980) B.Sc. (honors), Chemical Engineering, National Metsovion Technical University (1979) His research interests include analytical modeling techniques, coupled flow-geomechanical systems, and thermal operations in reservoirs. He has pioneered methods for simulating gas production from hydrate deposits and tight/shale gas reservoirs. His work emphasizes real-world applications in energy resource optimization and environmental impact mitigation. Notable awards include the Karen E. Olson Excellence in Research Award (2019), John Franklin Carll Award (2019), and recognition as a Distinguished Member of the Society of Petroleum Engineers (2010). He has led projects at Lawrence Berkeley National Laboratory and collaborated with the U.S. Department of Energy. His research group focuses on high-performance computing frameworks for multiphase reservoir simulation. He advises on federal energy initiatives and maintains an active Google Scholar profile with over 150 publications.

L.J. SluysView profile

Professor

• Computational Mechanics
• Computational Mechanics of Materials
• Modelling of Failure Processes
• +12 more

Professor L.J. Sluys is a Full Professor and Chair of Computational Mechanics at the Faculty of Civil Engineering and Geosciences, Delft University of Technology (TU Delft). He has been a leading figure in computational mechanics since 1999, heading the Computational Mechanics group and serving as head of the Department of Materials, Mechanics, Management and Design (3MD) from 2018 to 2024. His research is centered on the computational modeling of material behavior, particularly focusing on failure processes and high-performance materials. His research interests include computational mechanics of materials, modeling of failure and fracture processes, multi-scale methods, and the computational modeling of high-performance materials such as composites and concrete. He employs advanced numerical techniques including the finite element method, extended finite element method (XFEM), level-set methods, and cohesive zone modeling to simulate complex mechanical behaviors under static and dynamic loading conditions. His work spans civil, mechanical, and materials engineering domains, with applications in infrastructure, energy, and sustainable materials. The recent publications highlight a strong trend in modeling fracture, fatigue, and degradation in heterogeneous materials such as composites, concrete, and geological formations. His work integrates multi-physics and multi-scale approaches, often coupling mechanical, thermal, and chemical effects. There is a consistent focus on numerical robustness, model validation, and the development of adaptive computational frameworks for simulating progressive damage and failure. Research Fellow of the Netherlands Academy of Arts and Sciences (KNAW) Professor Sluys has taught core courses such as Introduction to the Finite Element Method and Computational Methods in Non-linear Solid Mechanics for over a decade, indicating a strong commitment to academic education. He has supervised numerous students, though specific names are not listed in the provided texts. He leads an active research group in computational mechanics, contributing to both fundamental and applied research in solid mechanics. His work involves collaboration with international institutions and industry partners, particularly in the areas of infrastructure durability and advanced materials.

Emmanuel DetournayView profile

Professor

• Geomechanics
• Hydraulic Fracturing
• Rock Mechanics
• +3 more

Emmanuel Detournay is a Professor at the University of Minnesota and a Member of the National Academy of Engineering. His research focuses on geomechanical processes including hydraulic fracturing, rock cutting, and the mechanics of fluid-infiltrated geomaterials. Research Interests: Modeling singular behavior near hydraulic fracture tips, poroelastic effects from fluid leak-off, hydraulic fracture initiation at boreholes, energy dissipation in rock cutting, and rock failure modes. Publications highlight advancements in coupled fracture mechanics-geochemical models, CO2 mineralization in ultramafic rocks, and dynamic modeling of drilling systems. Scientific Awards Member of the National Academy of Engineering

Haoran ZuoView profile

Research Fellow

• Structural Engineering
• Structural Dynamics
• Structural Vibration Control
• +3 more

Dr. Haoran Zuo is a Research Fellow and ARC DECRA Fellow at Curtin University's School of Civil and Mechanical Engineering within the Faculty of Science and Engineering. He holds a PhD (2019) and has held postdoctoral and research roles at Curtin and The Hong Kong Polytechnic University. His research focuses on structural dynamics, vibration control of offshore wind turbines, and seismic response analysis. He has secured prestigious fellowships including ARC DECRA (2024) and Marie Curie (2025). Education: PhD in Civil Engineering, Curtin University (2019) Research Interests: Structural dynamics and vibration mitigation Offshore wind energy systems Seismic response analysis Energy-harvesting control technologies Key Research Trends (2022-2025): Focused on advanced vibration control solutions for offshore wind turbines, including novel damper technologies (e.g., TTMD, KDamper), metamaterial applications, and fatigue analysis under multi-hazard conditions. His work combines experimental validation, numerical modeling, and innovative control system design. Awards: ARC DECRA Fellowship (2024-2028) Marie Skłodowska-Curie Fellowship (2025) Highly Cited Paper in Engineering (2024) Best Paper Awards (2024) Grants & Advising: Sole CI on ARC DECRA grant for hybrid wind-wave energy systems. Advises on projects involving floating platforms and structural resilience. Active in collaborative research with industry and international institutions. Labs/Teams: Part of the Curtin Research Centre for Infrastructural Monitoring & Protection, focusing on structural health monitoring and resilient infrastructure design.

• Geophysics
• Geodynamics
• Remote Sensing
• +4 more

Craig O'Neill is an Associate Professor in Geophysics/Remote Sensing at the School of Earth & Atmospheric Sciences, Faculty of Science, Queensland University of Technology (QUT). His research spans geodynamics, planetary science, geophysics, and engineering geology, with a strong focus on understanding Earth and planetary evolution through computational modeling and geophysical data analysis. His research interests include Geophysics, Geodynamics, Remote Sensing, Planetary Science, Engineering Geology, Geochemistry, and Geology . He applies advanced numerical methods to model planetary interiors, tectonic processes, and geohazards, with recent work exploring early Earth crust formation, Venusian core dynamics, exoplanet thermal evolution, and applied geophysical techniques for engineering and environmental monitoring. The trend in his recent publications shows a strong interdisciplinary focus, combining computational geophysics with planetary science and Earth systems analysis. His work appears in leading journals such as Nature , Science Advances , and Geophysical Research Letters , covering topics from asteroid impacts and craton formation to ambient noise tomography and groundwater response to climate change. Professional Memberships: Australian Society of Exploration Geophysicists American Geophysical Union Australian Geomechanics Society Craig O'Neill supervises research students in areas such as lunar seismology and planetary geodynamics. While no specific grants are listed in the provided text, his extensive publication record and active research programs suggest ongoing funding support. He has developed open-source tools like Planet_LB for lattice-Boltzmann modeling of planetary systems. He is actively involved in the geophysics community, with scholarly profiles on ORCID, Google Scholar, and Scopus, and shares his research via X (formerly Twitter). His work bridges fundamental planetary science with practical geophysical applications.

Elia GironacciView profile

Lecturer

• Computational Modelling of Crack Propagation
• Thermo-Fracture Mechanics
• Engineering Education
• +3 more

Dr. Elia Gironacci is a Lecturer and Director of Studies in Civil and Environmental Engineering at the University of Warwick's School of Engineering. He holds a PhD in Computational Mechanics (Warwick, 2018), MSc (2013) and BSc (2010) from the University of Marche, Italy. His research focuses on computational fracture mechanics of quasi-brittle materials and engineering education for apprenticeship programs. Teaching responsibilities include leading modules like ES196 Statics and Structures and ES1A4 for apprentices. He manages the Civil Infrastructure Engineering Degree Apprenticeship program and chairs the University Apprenticeship Tutor Network. His work integrates advanced numerical methods with educational innovation, particularly in STEM induction programs and apprenticeship learning experiences. Key research contributions include stochastic modeling of crack propagation, non-local probabilistic methods, and shale rock fracture mechanics. His work bridges computational mechanics with practical engineering applications, emphasizing dimensionality reduction techniques and material heterogeneity. He actively participates in institutional committees (Education, Health & Safety) and has published in journals like Rock Mechanics and Rock Engineering and International Journal of Mechanical Sciences. His book chapter on STEM induction frameworks highlights his dual focus on research and pedagogy.

• Structural Geology
• Tectonics
• Fault Zone Dynamics
• +4 more

Dr. Conrad Childs is an Assistant Professor/Lecturer in Structural Geology at University College Dublin (UCD), School of Earth Sciences. He holds a PhD from the University of Liverpool (2000) and has held roles including Senior Research Fellow at UCD's Fault Analysis Group (2000–2009) and Research Fellow at the University of Liverpool (1997–2000). His research focuses on fault zone dynamics, basin evolution, and structural geology with emphasis on offshore Ireland. Key interests include fault geometry, hydraulic properties, numerical modeling, and tectonostratigraphic evolution of sedimentary basins. Education: BSc Geology, University College Cork (1985) MSc Structural Geology & Rock Mechanics, Imperial College London (1986) PhD, University of Liverpool, 'The structure and hydraulic properties of fault zones' (2000) Research Interests: 3D geometry and evolution of faults Basin analysis and offshore Ireland's structural evolution Fault seal capacity and hydraulic properties Integration of deep learning with seismic interpretation Impact of basement fabrics on basin development Teaching: Coordinates modules such as 'Applied Structural Geology,' 'Field Geology Level 1,' and 'Geoscience Research Project,' emphasizing hands-on structural analysis and fieldwork. Grants: Led the PRTLI 5 grant (2011–2016) supporting PhD research in Earth Sciences. Active in collaborative projects addressing fault reactivation risks and subsurface storage potential. Awards: No specific awards listed, though his extensive publications highlight sustained research excellence. Labs & Collaboration: Part of UCD's Fault Analysis Group, contributing to interdisciplinary studies on fault zone mechanics and basin evolution.

• 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.

• Biomechanics
• Classical Mechanics
• Continuum Mechanics
• +7 more

Alfio Grillo is a Full Professor at the Department of Mathematical Sciences (DISMA) of Politecnico di Torino, with research interests in biomechanics, continuum mechanics, and mathematical physics. His expertise spans classical mechanics and multiscale modeling of biological tissues. Research Focus: Grillo's work integrates analytical mechanics with nonholonomic constraints, fractional calculus applications, and multiscale modeling of growth/remodeling phenomena in biological systems. Recent articles emphasize poroelasticity, viscoelastic composites, and bi-phasic material behavior. Scientific Contributions: Editorial roles in leading journals since 2014 Member of INdAM-GNFM since 2009 Recipient of National Scientific Qualification in 2017 €128,609 PRIN grant for multiscale biological modeling Academic Leadership: Supervises PhD students in Civil Engineering, Mathematics, and Mathematical Engineering. Teaches advanced courses in Differential Varieties, Variational Methods, and Porous Media Mechanics.

Eric Josef Ribeiro ParteliView profile

Researcher

• Geophysics
• Computational Geosciences
• Granular Physics
• +4 more

Dr. Eric Parteli is a Heisenberg Group Leader at the Faculty of Physics, University of Duisburg-Essen , with affiliations to the University of Cologne (Computational Geosciences) and The University of Alabama . He leads research on Earth surface particulate materials and their dynamics under wind, fluvial processes, and gravitational forces. Current and former students include PhD candidates, Master/Bachelor candidates, and research assistants like Cong Jiang , Maria Determann , Mateusz Kryger , and Joel Jankowiak . His group develops computational tools to model particle interactions and feedbacks with geomorphology, biosphere, and atmosphere across scales, with applications in climate science, planetary geophysics, and natural hazard risk assessment. Key research themes include aeolian processes , hydrological modeling , granular material behavior , and coupled Earth surface systems . No scientific awards are explicitly mentioned in the provided texts. His lab operates from Room MG 364 at the University of Duisburg-Essen and collaborates with the Computational Geosciences department at the University of Cologne. Recent publications highlight anomalous scaling in sand transport , angle of repose modeling , and regional hydrological systems in arid environments.

Mourad ZeghalView profile

Professor

• Geotechnical Engineering
• Soil Mechanics
• Seismic Response Analysis
• +3 more

Dr. Mourad Zeghal is a Professor in the Department of Civil and Environmental Engineering at Rensselaer Polytechnic Institute (RPI). His research focuses on computational geomechanics, seismic response monitoring, and geotechnical system identification. He leads projects addressing liquefaction mitigation, multiscale modeling of geosystems, and development of advanced computational tools for geotechnical analysis. Dr. Zeghal collaborates with RPI's Center for Network for Earthquake Engineering Simulation (CEES), Scientific Computation Research Center (SCOREC), and Inverse Problems Center (IPRPI). His work emphasizes reducing risks from natural hazards through improved design tools and model validation. Key projects include the Liquefaction Experiments and Analysis Projects (LEAP), which use centrifuge testing and machine learning to analyze soil behavior under seismic loads. Dr. Zeghal's research integrates experimental data with numerical simulations to enhance understanding of soil-structure interaction and lateral spreading during earthquakes. Research Interests: Soil liquefaction, multiscale modeling, inverse problem methods, computational geomechanics Key Collaborations: CEES, SCOREC, IPRPI, and global research networks Focus Areas: Centrifuge testing, model validation, seismic hazard mitigation His recent publications (2023–2025) highlight advancements in quantifying uncertainty in soil response, analyzing LEAP centrifuge experiments, and developing machine learning approaches for model calibration. Dr. Zeghal actively engages with industry and government labs to translate research into practical engineering solutions.