Rahul Sarkar is a Postdoctoral Fellow at the University of California, Berkeley, affiliated with the Department of Mathematics . He was previously a Ph.D. student in the Institute for Computational and Mathematical Engineering (ICME) at Stanford University, graduating in 2022 under the advisement of Biondo Biondi and András Vasy. Research Interests : Quantum information theory, inverse problems, machine learning, microlocal analysis, and numerical methods for PDEs. Scientific Contributions : Developed novel quantum computing algorithms and numerical schemes for geophysical imaging, with applications in seismic tomography and quantum signal processing. Teaching : Taught courses at Stanford including Introduction to Quantum Computing and 3D Seismic Imaging , with roles as instructor and course assistant. Awards : Schlumberger Innovation Fellowship (2019-2020). His work bridges mathematical analysis and quantum computation , with a focus on solving real-world problems through interdisciplinary approaches. He has collaborated with institutions like IBM and Schlumberger to apply quantum algorithms to geoscience and financial optimization.
Ronaldo I. Borja is a Professor in the Department of Civil and Environmental Engineering at Stanford University's School of Engineering. His academic career spans decades of research and teaching in theoretical and computational solid mechanics, geomechanics, and geosciences. He teaches undergraduate, graduate, and doctoral level courses including Geotechnical Engineering (CEE 101C), Mechanics and Finite Elements (CEE 281), Computational Poromechanics (CEE 314), and Plasticity Modeling and Computation (CEE 315). Professor Borja's research focuses on theoretical and computational solid mechanics, with particular emphasis on geomechanics and geosciences. His work includes the development of multi-scale discontinuity frameworks for crack and fracture propagation utilizing strong discontinuity and extended finite element methods; solution techniques for multi-physical processes such as coupled solid deformation-fluid diffusion in saturated and unsaturated porous media; stabilized finite element methods for solid/fluid interaction and nonlinear contact mechanics; and nanometer-scale characterization of the inelastic deformation and fracture properties of shales. His research spans multiple projects including shale characterization, poromechanics, and large deformation inelasticity. His recent publications demonstrate expertise across computational mechanics, geomechanics, and materials science, with a focus on finite element methods, constitutive modeling, and multi-scale analysis. His work bridges theoretical developments with practical applications in geotechnical engineering and earth sciences. 2016 ASCE Maurice A. Biot Medal for work in computational poromechanics Professor Borja serves as editor of two leading journals in his field: the International Journal for Numerical and Analytical Methods in Geomechanics and Acta Geotechnica. He has also authored the textbook 'Plasticity Modeling and Computation' published by Springer. His research is supported by multiple projects examining shale mechanics, poromechanics in unsaturated porous media, and large deformation inelasticity in crystalline materials.
Prof. Stefan Wiemer is the Director of the Swiss Seismological Service (SED) and holds the Chair of Seismology at ETH Zurich's Department of Earth and Planetary Science. He obtained a geophysics diploma from Ruhr University Bochum (1992) and a PhD from the University of Alaska Fairbanks (1997). His research focuses on earthquake processes, probabilistic hazard assessments, induced seismicity, and geothermal energy applications. He has published over 200 articles and supervised 30 PhD students, while also lecturing at the University of Bern. Key Roles: Member of ERC Grants Evaluation Panel (2015–present) Scientific Advisor to GFZ German Research Center for Geosciences (2021–present) President of Swiss Geophysical Commission Projects: Leader of Switzerland's national earthquake risk model Coordinator of EU-funded RISE (risk assessments) and DEEP (geothermal de-risking) projects Principal Investigator for ERC Synergy grant FEAR (BedrettoLab fault experiments) His research spans operational earthquake forecasting, CO2 storage monitoring, and the BedrettoLab underground experiments. He has won the Humboldt Foundation Fellowship (1997) and contributed to international initiatives like the Dutch Mining Effects Panel. Teaching includes ETH's Geophysics I course. Scientific contributions include developing seismic hazard models (ERM-CH23), real-time induced seismicity forecasting frameworks, and innovative techniques for fault dynamics analysis. His work integrates field data, laboratory experiments, and computational modeling to address both natural and human-induced seismic risks.
Professor Behzad Fatahi is a distinguished academic in Civil and Environmental Engineering at the University of Technology Sydney (UTS), specializing in geotechnical engineering, railway infrastructure, and sustainable construction technologies. With a career spanning over 16 years at UTS, he has served as Deputy Head of School - Teaching and Learning (2024-present), Head of Discipline (2020-2024), and School Research Coordinator (2012-2017). His research focuses on unsaturated soil mechanics , dynamic soil-structure interaction , and green infrastructure solutions . Academic Appointments : Professor (2024-present), Associate Professor (2017-2024), Senior Lecturer (2011-2017), Lecturer (2008-2011) Research Leadership : Supervised 21 PhD students to completion, developed groundbreaking techniques for landfill waste reuse and tyre-derived aggregates in railway construction His work on seismic resilience of LNG tanks and bioengineered soil stabilization has received international recognition, including the 2023 Best Research Paper Award at the Australasian Association for Engineering Education conference. Professor Fatahi's industry experience includes geotechnical engineering roles at Coffey International and SES Engineering prior to academia. Key Research Contributions : Developed green corridor models for railway lines using coupled flow-deformation equations Pioneered AI-integrated teaching frameworks for civil engineering education Advanced machine learning techniques for intelligent compaction and structural buckling analysis As a Category 1 supervisor , he mentors graduate researchers in Civil Engineering , Geomechanics , and Earthquake Engineering . His peer-reviewed work (>240 publications) demonstrates technical excellence and innovation across multiple geotechnical domains.
Dr. Alain Bonneville is a Lab Fellow and Geophysicist at Pacific Northwest National Laboratory (PNNL) and holds a Courtesy Professor appointment at Oregon State University's College of Earth, Ocean, and Atmospheric Sciences. With extensive experience in geological storage of CO2, geothermal energy, and geophysical monitoring techniques, Dr. Bonneville leads diverse research projects that bridge fundamental science and practical applications for energy and environmental challenges. Dr. Bonneville's educational background includes: PhD in Geophysics from the University of Montpellier, France MS in Petroleum Geophysics from IFP-School, Paris, France BS in Geology from the University of Lyon, France Dr. Bonneville's research spans several critical areas in Earth sciences and energy systems. His work on geothermal energy focuses on super-hot enhanced geothermal systems (EGS), site characterization, monitoring, and stimulation fluids. In geological CO2 storage, he investigates project management, site characterization, numerical modeling, and monitoring methods using potential fields and remote sensing. His expertise in geophysical methods includes heat flow measurements, gravity surveys, muon tomography development for borehole deployment, and remote sensing applications. Additional research areas encompass marine heat flow instrumentation development, thermal monitoring of active volcanoes, and intraplate volcanism studies in the Indian and Pacific Oceans. Dr. Bonneville has received significant recognition for his contributions to science, including: Membership in the Washington State Academy of Sciences Lab Fellow position at Pacific Northwest National Laboratory Executive Committee membership on the U.S. National Risk Assessment Partnership Scientific Committee membership at IFP-Energies Nouvelles, France He also holds two U.S. patents related to electrophilic acid gas-reactive fluids for enhanced fracturing and recovery of energy producing materials. Throughout his career, Dr. Bonneville has led significant research initiatives, including the PNNL Carbon Sequestration Initiative (2009-2013) and the European Marie Curie Research Training Network on Greenhouse Gas Removal (GRASP), which involved 14 academic and industrial institutions across 7 countries and supported 35 PhD students and post-docs. His work on the FutureGen 2.0 project demonstrates his leadership in large-scale carbon storage site characterization and monitoring program design. Dr. Bonneville maintains active collaborations with research teams at PNNL's Environmental Molecular Sciences Laboratory and works closely with Oregon State University's geoscience researchers. His laboratory work focuses on developing novel instrumentation for geophysical monitoring, particularly in the areas of muon tomography for subsurface characterization and thermal monitoring systems for geothermal and carbon storage applications.
Anne H Schistad Solberg is a Professor in the Department of Informatics at the University of Oslo's Faculty of Mathematics and Natural Sciences. She leads research in digital signal processing and image analysis, with a focus on machine learning applications across multiple domains. As co-director of SFI Visual Intelligence, she oversees research on interpretable deep learning models, uncertainty quantification, contextual learning, and self-supervised learning approaches. Her research spans medical imaging (particularly cardiovascular ultrasound), environmental monitoring using satellite imagery, and seabed mapping with sonar technology. Professor Solberg's work demonstrates a consistent trajectory from foundational signal processing techniques to cutting-edge deep learning applications. Her recent publications show increasing specialization in medical image analysis, particularly in echocardiography enhancement and cardiac structure segmentation, while maintaining strong contributions to remote sensing and geophysical applications. She teaches several popular courses including IN2070, IN3310, and IN5400 (Machine Learning for Image Analysis), which is noted as the most popular master's/PhD course on deep learning at the University of Oslo. Professor Solberg serves as principal investigator for the Intelligent Cardiovascular Ultrasound Scanner (INCUS) project, collaborating with GE Vingmed Ultrasound to develop AI-enhanced cardiac imaging systems that improve diagnostic accuracy and productivity in echocardiography. Co-director of SFI Visual Intelligence research center Principal Investigator for the INCUS project (Intelligent Cardiovascular Ultrasound Scanner) Member of the Digital Signal Processing and Image Analysis (DSB) research group Member of the Strategic Research Initiative: Multimodal Medical Imaging and Image Analysis (MEDIMA) Her research group develops algorithms that address real-world challenges in medical diagnostics and environmental monitoring, with a particular emphasis on making deep learning models more interpretable and reliable for critical applications. The INCUS project, funded through User-driven Research-based Innovation (BIA), aims to reduce the time wasted during cardiac ultrasound examinations by implementing intelligent algorithms that learn from expert users and historical data.
Allen Husker is a Research Professor of Geophysics at the California Institute of Technology (Caltech), affiliated with the Seismological Laboratory. He manages the Southern California Seismic Network (SCSN) and the Southern California Earthquake Data Center. Previously, he was a professor at the National Autonomous University of Mexico (UNAM), chairing the Seismology Department, and served as Station Manager for the Comprehensive Nuclear-Test-Ban Treaty Organization (CTBTO) seismic stations in Mexico. His academic journey includes a B.S. from the University of Washington (1998), an M.S. from UCLA (2003), and a Ph.D. from Caltech (2008). Research Interests : Husker focuses on geophysical observations of crustal structure, slow-slip events, and seismic network analysis. His work bridges subduction zones (e.g., Mexico) and transform boundaries (e.g., Southern California). He explores planetary seismology, comparing Earth with the Moon and Mars. Recent studies include DAS technology for moonquake detection and seismic monitoring in the Guerrero seismic gap. Publications Trends : His 2024 work emphasizes DAS applications, Mexico’s San Andreas Fault dynamics, and socio-technical aspects of earthquake early warning (EEW) in Mexico. Earlier research (2020s) delves into slow-slip mechanisms, crustal anisotropy, and fault system dynamics in Mexico. He also investigates moonquake behavior and lunar regolith effects. Awards : No explicit scientific awards listed. Advising & Grants : Advises graduate students like Guillermo González (UNAM) and Yuri Tamama (Caltech). Former students include Francesco Civilini (Research Space Scientist) and Jiuxun Yin (Research Geophysicist). Collaborates widely, including with Jennifer Jackson on lunar seismology. Labs/Teams : Leads the SCSN and collaborates with UNAM’s Seismology Department. Engaged with the CTBTO and international seismological networks.
Robert Likamwa is an Associate Professor at Arizona State University, affiliated with the School of Arts, Media and Engineering and the School of Electrical, Computer and Energy Engineering. His research focuses on the intersection of mobile computing, augmented reality, and sensor design through Meteor Studio. Ph.D., Rice University M.S., Rice University B.S., Rice University His work spans three core research arcs: (i) advanced visual capture systems, (ii) hybrid virtual-physical immersion through sensory augmentation, and (iii) data-driven frameworks for AR/VR storytelling. He explores mobile operating systems, low-power architectures, computational imaging, and holographic computing. Recent publications analyze multi-resolution visual sensing, geospatial cross-virtuality collaboration, planetary data visualization, spatial audio optimization, and multi-sensory virtual environments. His 2013 paper on energy-proportional image sensors received the Best Paper Award at ACM MobiSys. Best Paper Award, ACM MobiSys 2013 LiKamWa advises graduate students through research and thesis courses and leads grants related to mobile vision systems, haptic interfaces, and energy-efficient sensor design. He directs Meteor Studio, a research group focused on immersive technology innovation.
Dr. Moritz Ziegler is a geomechanics researcher affiliated with the Technical University of Munich (TUM) and the Assistant Professorship of Geothermal Technologies . He previously worked at GFZ Potsdam (2017–2023) and earned his PhD in Geophysics from the University of Potsdam (2014–2017). His research focuses on geomechanical numerical modeling , uncertainty quantification , and 3D stress field analysis , with applications to geothermal energy, seismic hazard, and rock mechanics. Education: Bachelor of Science in Geosciences (2008–2011), Freie Universität Berlin Master of Science in Geophysics (2011–2014), University of Potsdam PhD in Geophysics (2014–2017), University of Potsdam & GFZ Potsdam His work integrates advanced computational methods ( Altair Hypermesh , Dassault Systèmes Abaqus , Python , Matlab ) to address complex geomechanical problems. Recent publications analyze stress gradients in the North Alpine Foreland Basin, fault-stress interactions, and physics-based machine learning in geomechanics. He has contributed to software development (DOuGLAS v1.0) and calibration tools (FAST Calibration v2.4). Scientific awards or honors are not explicitly mentioned in the provided text. However, his research has been published in leading journals such as Geophysical Journal International , Solid Earth , and Pure and Applied Geophysics .
John Shaw is the Harry C. Dudley Professor of Structural and Economic Geology and a Professor of Environmental Science and Engineering at Harvard University's School of Engineering and Applied Sciences. He also serves as Vice Provost for Research at Harvard, overseeing institutional research strategy and initiatives. His primary research focuses on structural geology, geophysics, and earthquake hazards, particularly in active fault systems, mountain belt tectonics, and subsurface energy development. Prof. Shaw leads the Structural Geology & Earth Resources Program, an industry-academic consortium that integrates geophysical data (3D seismic surveys, remote sensing) with advanced numerical modeling to address geological and environmental challenges. Education and professional experience: Joined Harvard Faculty in 1997. His research portfolio includes collaborations with the Southern California Earthquake Center (SCEC) and the development of critical infrastructure like the SCEC Unified Community Velocity Model (UCVM). His work emphasizes practical applications such as fault stability assessments and carbon sequestration impact studies. Research interests span: 1) active fault characterization for seismic hazard mitigation, 2) tectonic evolution of mountain belts, 3) numerical modeling of fault dynamics, and 4) geomechanical impacts of subsurface energy projects. His structural modeling innovations have advanced understanding of thrust fault systems and fault-bend folding mechanisms. Professional contributions include leadership roles in interdisciplinary consortia and development of open-source geophysical software frameworks. Administrative duties at Harvard's Office of the Vice Provost for Research (VPR) focus on advancing institutional research capacity and fostering cross-disciplinary collaborations.
David Wettergreen is a Research Professor at the Robotics Institute within Carnegie Mellon University's School of Computer Science , where he has been a faculty member since 2000. He directs the PhD Program in Robotics and holds a courtesy appointment in Mechanical Engineering. His research focuses on robotic exploration systems for extreme environments, spanning planetary surfaces, underwater caves, and terrestrial deserts. Key areas include autonomous navigation , science autonomy , multi-modal perception , and resource-cognizant planning . Field validation drives his work, with deployments in the Atacama Desert, Antarctic volcanoes, and lunar analog sites. Co-founder of Mesh Robotics LLC for off-road autonomy Former Research Fellow at Australian National University Former National Research Council Research Associate at NASA Ames Research Center His 15 most recent publications (2023-2025) demonstrate expertise in autonomous path planning , machine learning applications , terrain modeling , and science-driven exploration . Collaborations span planetary science, environmental monitoring, and space systems engineering. He has advised 17 PhD and 33 MS students , many of whom now work in space exploration or field robotics, and teaches courses in Robotics Systems Engineering . Current projects include the MoonRanger lunar micro-rover and technologies for autonomous resource mapping .
Ghassan AlRegib is the John and Marilu McCarty Chair Professor in the School of Electrical and Computer Engineering at Georgia Institute of Technology. He directs the Omni Lab for Intelligent Visual Engineering and Science (OLIVES), the Center for Energy and Geo Processing (CeGP), and previously led Georgia Tech's MENA initiatives (2015-2018). His research spans machine learning, image processing, and seismic interpretation with real-world applications in autonomous vehicles, medical imaging, and subsurface analysis. His research focuses on trustworthy AI systems through three pillars: enhancing interpretability, improving robustness/generalizability, and tackling domain-specific challenges. Key interests include human-in-the-loop frameworks, uncertainty quantification, explainable AI, and physics-driven learning. The OLIVES lab pioneered modern machine learning applications in seismic interpretation and developed open-source datasets for geological fault analysis. Dr. AlRegib's scientific contributions include over 270 publications, multiple U.S. patents, and leadership roles as Technical Program co-Chair for ICIP 2020/2024. His work demonstrates significant impact through awards like the IEEE Fellow designation (2022) and multiple best paper awards at premier conferences. IEEE Fellow (2022) 2023 EURASIP Best Paper Award 2019 ICIP Best Paper Award 2017 Denning Faculty Award for Global Engagement CSIP Research & Service Awards (2003) He has advised numerous PhD students including Dr. Ashraf Alattar (now Auburn professor) and Dr. Zhiling Long (Kennesaw State faculty). His lab structure emphasizes collaborative teams comprising postdocs, senior/junior PhD students, and undergraduates working on high-impact problems from autonomous systems to medical diagnostics. Current research thrusts include trustworthy neural networks, human-in-the-loop frameworks, and deployment of machine learning in seismic interpretation and ophthalmology.
Associate Professor Judy Hart is a materials scientist at the School of Materials Science & Engineering, UNSW Sydney , specializing in the development of semiconducting materials for renewable energy applications. Her work integrates computational (DFT) and experimental approaches to understand composition-property relationships in systems like solid solutions , heterostructures , and doped materials for photocatalysis and solar cells . She leads projects funded by ARC Discovery and Linkage grants , including work on photo-electro-catalysis systems and stabilizing ceramic materials . Education: PhD in Materials Engineering (Monash University, 2007), BEng (Materials) (Monash, 2002) Professional Experience: Senior Lecturer (UNSW, 2017–), Lecturer (UNSW, 2013–2017), University of Bristol (2007–2012) Research Interests Her research focuses on designing materials for renewable energy , particularly photoelectrochemical water splitting and organic oxidation reactions . Key areas include Density Functional Theory (DFT) , defect engineering , band gap tuning , and nanostructured materials . She investigates ferroelectric polarization effects , metal oxide heterostructures , and stability of battery components , with applications in hydrogen production , CO2 conversion , and advanced battery materials . Scientific Awards Ramsay Memorial Fellowship (University of Bristol, 2007–2009) Teaching Contributions She is co-author of the 1st Australian & New Zealand edition of "Materials Science and Engineering: An Introduction" , and teaches courses on computational materials science , corrosion-resistant surfaces , mechanical behavior of metals , and materials design .
Teng-Fong Wong is a Research Professor in the Department of Geosciences at Stony Brook University, where he has been a faculty member since 1982. His research focuses on the intersection of rock mechanics, earthquake processes, and environmental applications, making significant contributions to understanding deformation mechanisms in geological materials. Education: Sc.B., Brown University, 1973 M.S., Harvard University, 1976 Ph.D., Massachusetts Institute of Technology, 1981 Research Interests: Professor Wong's research centers on rock mechanics with emphasis on earthquake mechanics, energy resources, and environmental applications. He investigates both phenomenological and micromechanical aspects of rock deformation and fluid flow using an integrated approach combining high-pressure deformation experiments, quantitative microstructure characterization, and theoretical analysis. His work spans brittle-ductile transitions in porous rocks, permeability evolution, strength properties of fault zone materials from SAFOD and TCDP drilling projects, and submarine groundwater discharge systems. Publication Trends: Wong's recent publications (2006-2008) demonstrate a consistent focus on strain localization mechanisms in porous rocks, particularly examining compaction bands and deformation bands in sandstones. His work integrates advanced imaging techniques (X-ray radiography, CT scanning) with mechanical testing to understand the micromechanics of rock failure. A significant thread connects his research on fault zone properties from major drilling projects (SAFOD, TCDP) with fundamental rock deformation processes. Scientific Recognition: U.S. Patent 6,874,371 for Ultrasonic Seepage Meter (2005) U.S. Patent 7,107,859 for Ultrasonic Seepage Meter (2006) Co-author of "Experimental Rock Deformation - The Brittle Field" (2nd Edition, Springer-Verlag, 2005) Professional Activities: Professor Wong maintains an active international research profile with numerous visiting appointments including at Australian National University, MIT, ETH Zurich, and institutions in China and France. His work involves extensive collaboration with USGS and international research teams on major fault zone drilling projects. He has developed specialized equipment like the ultrasonic seepage meter for measuring submarine groundwater discharge. Research Infrastructure: Wong's laboratory utilizes advanced capabilities including high-pressure deformation equipment, 3D visualization through laser scanning confocal microscopy and synchrotron microCT, and integrates these with analytic modeling and numerical simulation techniques (finite element and discrete element methods) to investigate micromechanics of dilatant and compactant failure in geological materials.
Dr. Attila Balázs is a Senior Researcher and Lecturer at ETH Zurich's Institute of Geophysics, affiliated with the Department of Earth and Planetary Sciences. His research integrates numerical modeling with geological data to investigate tectonic-surface process interactions, focusing on orogen-basin systems and continental deformation. Key contributions include studies on back-arc basins, transform faults, and the Tibetan Plateau's uplift mechanisms. He holds the 2020 Flinn-Hart Award and an ETH Zurich Postdoctoral Fellowship. His work emphasizes geodynamic processes such as mantle delamination, slab dynamics, and crustal deformation patterns. Balázs collaborates with the Geophysical Fluid Dynamics Group and maintains an active research portfolio spanning field observations, seismic analysis, and 3D numerical simulations. Research Foci: Tectonic modeling, basin evolution, mantle dynamics, and crustal rheology Key Regions: Pannonian Basin, Tibetan Plateau, Adriatic Sea, Himalayas His articles highlight interdisciplinary approaches to understanding continental and oceanic tectonics, with recent emphasis on transform fault mechanics, triple junction dynamics, and the interplay between tectonics and climate.
