Saravanan R. is a Professor and Department Head at Texas A&M University's College of Geosciences. His research focuses on climate variability and predictability, coupled ocean-atmosphere dynamics, and climate modeling. He holds a Ph.D. in Atmospheric and Oceanic Sciences from Princeton University (1990), an M.Sc. in Physics from IIT Kanpur (1986), and completed postdoctoral research at the University of Cambridge (1990–1993). His research explores phenomena like tropical cyclones, midlatitude storms, and low-frequency climate modes. Recent work examines the influence of El Niño, mesoscale ocean eddies, and machine learning applications in climate analysis. He has contributed to improving weather and climate prediction through coupled model simulations and data analysis. Key awards include the 2015 College of Geosciences Distinguished Research Award. Saravanan has served on committees such as the Prediction and Research Moored Array in the Atlantic (PIRATA) Science Steering Committee and the American Meteorological Society’s Climate Variability and Change Committee. He previously edited the Journal of Climate (2007–2010). His work bridges theoretical, computational, and observational approaches, addressing critical climate questions such as ocean-atmosphere interactions and anthropogenic impacts on weather patterns.
Istvan Szunyogh is a Professor in the Department of Atmospheric Sciences within the College of Geosciences at Texas A&M University, where he has held faculty positions since 2009. His research focuses on advancing numerical weather prediction through innovative integration of machine learning, statistical techniques, and physical modeling for Earth's atmosphere and complex systems. His academic foundation includes: Ph.D. in Earth Sciences from the Hungarian Academy of Sciences, Budapest Diploma in Meteorology from Eötvös Loránd University, Budapest Szunyogh's research spans Numerical Weather Prediction (NWP), Earth System Modeling (ESM), Data Assimilation (DA), Machine Learning applications, and predictability studies of atmospheric and oceanic systems. His group pioneers hybrid modeling approaches that combine physics-based frameworks with machine learning to overcome traditional limitations in weather forecasting, particularly for medium-range and subseasonal predictions. This work bridges atmospheric dynamics, computational science, and artificial intelligence to address fundamental challenges in predictability. Analysis of his recent publications reveals a dominant trend toward developing hybrid physics-machine learning models for atmospheric and oceanic prediction beyond conventional medium-range limits. These studies focus on capturing complex dynamical processes, improving subseasonal forecasting, and enhancing model error correction through innovative data assimilation techniques. His scientific leadership has been recognized with prestigious awards: College of Geosciences 2017 Distinguished Achievement Award for Faculty Excellence in Research Certificate of Recognition from U.S. THORPEX Executive Committee (2015) for international leadership in predictability research Certificate of Appreciation from WMO WWRP (2014) for outstanding contributions to the THORPEX program Szunyogh actively mentors the next generation of atmospheric scientists, having advised numerous graduate students including J. Pathak, A. Wikner, E. Forinash, T. Arcomano, M. J. Kavulich, E. Satterfield, A. V. Zimin, and M. Corazza. His research group maintains strong collaborations with national weather prediction centers including NCEP and international programs under the World Meteorological Organization, securing consistent funding for cutting-edge atmospheric research. He leads a dynamic research team at Texas A&M that operates at the intersection of traditional atmospheric science and modern computational techniques, fostering an environment where theoretical exploration directly informs practical forecasting improvements for complex Earth system phenomena.
Dr. Heng Cai is an Assistant Professor at Texas A&M University, leading the GIScience for Resilience (GIResilience) Research Group. Her work focuses on geographic information science, disaster resilience, socio-environmental sustainability, and environmental health. She develops geospatial data mining and decision-support tools to model human-environment interactions under climate change and natural hazards. Education: Ph.D. in Environmental Science (Louisiana State University), M.S. in Geographic Information Science (Chinese Academy of Sciences), B.E. in Surveying and Mapping (China University of Geosciences). Research interests include geospatial data science, hazard modeling, and resilience assessment. Her group has pioneered studies on land loss prediction in coastal Louisiana, social media analysis for disaster response, and cyberGIS platforms like PRIME. Recent work emphasizes climate adaptation strategies and urban resilience frameworks. Publications span interdisciplinary journals like Remote Sensing , Annals of the American Association of Geographers , and International Journal of Digital Earth . She actively collaborates with NASA and disaster management agencies, securing grants for projects like HeatSMART and U-CARE. Labs/Teams: GIResilience Group (www.gis-resilience.info) focuses on innovative geospatial solutions for societal resilience. She mentors undergraduate and graduate students in GIS programming, webGIS, and geodatabase applications.
Mark Everett is a Professor of Geophysics at Texas A&M University, holding the Howard Karren Professorship. His primary research focuses on near-surface applied geophysics, with expertise in ground-penetrating radar (GPR), electrical resistivity tomography, and controlled-source electromagnetics. He explores applications in environmental monitoring, geotechnical engineering, archaeology, and agricultural sciences. Research interests include karst aquifer dynamics, coastal transition zones, and subsurface imaging for infrastructure assessment. Teaches courses like GEOP 313 (Geophysical Field Methods) and GEOP 413 (Near-Surface Applied Geophysics). Education background: BSc and MSc in Physics from York University (Canada), followed by a PhD in Geophysics from the University of Toronto. Research highlights: Developed the SWAN CSEM system for offshore groundwater mapping. Advanced GPR techniques for unmarked grave detection and crop biomass estimation. Led studies on sinkhole formation mechanisms and coastal aquifer connectivity. Publications emphasize hydrogeological processes, geophysical instrumentation, and interdisciplinary applications in agriculture and archaeology. Collaborates globally on projects like the Texas Water Observatory, focusing on climate-land use interactions in water cycle dynamics.
Mateo Acosta is an Assistant Professor of Geomechanics at Virginia Tech, specializing in earthquake mechanics, crustal deformation, and geomorphic processes. He serves as Center Director of the Center for Geomechanics and Mitigation of Geohazards (GMG) and Associate Director of the Center for Autonomous Systems and Technologies, bridging geoscience with engineering applications. His research integrates field observations, seismological and geodetic measurements, remote sensing, and laboratory experiments to develop kinematic and dynamic models. Key projects include seismicity forecasting in subsurface engineering operations, hydrology-crustal deformation interactions, Martian dune dynamics, Himalayan and Tibetan tectonic studies, and postseismic deformation analysis. Recent publications focus on induced seismicity mitigation, geothermal reservoir optimization, fault hydraulic properties, and earthquake nucleation mechanisms. These works span 2017-2025 with recurring themes in geothermal energy applications, CO2 storage safety, and computational geomechanical modeling. Scientific awards : Resnick Graduate Scholar Acosta contributes to earthquake physics outreach through media appearances, including a PBS Interview on geothermal systems. His work connects geological processes with practical engineering solutions for geohazard mitigation.
Mina Karimi is a Postdoctoral Scholar Research Associate in the Department of Mechanical and Civil Engineering at California Institute of Technology (Caltech). She is part of the Bhattacharya group, advised by Professor Kaushik Bhattacharya. Her research focuses on computational mechanics, poromechanics, and Bayesian inference applied to porous media systems. Key areas include reactive flow modeling, multiscale simulations, and data-driven approaches for subsurface engineering challenges. Her work integrates advanced computational methods with geomechanical and materials science problems, emphasizing energy systems and environmental applications. Recent studies explore carbon sequestration mechanisms, chemo-poro-mechanical coupling, and high-dimensional parameter estimation using Bayesian frameworks. She also investigates crack-healing phenomena in shape memory alloy composites and develops accelerated micromechanical models for solute transport. Publications span topics from machine learning-enhanced groundwater modeling to Hessian-informed sampling techniques for high-dimensional inverse problems. Her research bridges theoretical developments with practical applications in subsurface energy storage, geological carbon sequestration, and material behavior under extreme conditions. Advising is conducted under the mentorship of Prof. Bhattacharya, with affiliations to the Resnick Sustainability Institute at Caltech. Current efforts emphasize computational tools for poromechanics and uncertainty quantification in complex multiphase systems.
Laurent Ailleres is a Senior Lecturer at Monash University's School of Earth Atmosphere and Environment. He holds a role as a Senior Research Fellow in the School of Geosciences. His research focuses on tectonics, structural geology, 3D geological modeling, and integration of geophysical datasets. Key projects include three-dimensional Bayesian modeling of geological/geophysical data (ARC-funded), ore body modeling (AMIRA P1249), and improving usability of Loop3D software (Auscope). Research Interests: Laurent's work spans tectonic boundaries, structural analysis using aeromagnetic data, 3D multi-scale modeling, and geophysical inversion techniques. He emphasizes combining geological and geophysical datasets to advance mineral exploration and crustal architecture understanding. Recent Articles: His 2022 work on Paleoproterozoic gold events in West Africa and 2021 studies on automated geological mapping and LoopStructural software showcase his contributions to 3D modeling and geophysical integration. Articles often address fault modeling, structural overprinting, and igneous intrusion analysis. Grants & Collaborations: Leads multiple ARC, CRC, and industry-funded projects. Collaborations span institutions globally, focusing on mineral systems, crustal dynamics, and open-source geoscience tools. Labs/Teams: Central to the Loop Project team developing LoopStructural software. Engaged with international research networks for 3D geological modeling applications.
Jaclyn Cockburn is an Assistant Professor in the Department of Geography at the University of Guelph. Her research focuses on fluvial geomorphology, hydrology, and environmental processes, with an emphasis on river restoration, sediment dynamics, and climate-landscape interactions. She employs cutting-edge technologies like LiDAR and remote sensing to study aquatic ecosystems and geomorphic processes in diverse environments, including Arctic regions and urban streams. Her work spans topics such as ice-covered stream hydraulics, varve-based climate proxies, and the impacts of urbanization on river morphology. She has contributed to methodological advancements in geomorphometric analysis and digital soil mapping. Notably, she has addressed systemic issues in academia through a 2019 paper examining gender dynamics in academic careers. Dr. Cockburn's research bridges field observations, computational modeling, and policy-relevant applications. Her articles consistently address interdisciplinary challenges in environmental science, emphasizing the interplay between physical processes and ecological outcomes.
Dr. David Moss is an Associate Professor in the Department of Environmental and Geosciences at Sam Houston State University (SHSU), part of the College of Science & Engineering Technology. His research focuses on paleobiology and sclerochronology, examining bivalve lifespan and growth patterns to address macroevolutionary questions. He actively engages undergraduate students in research, including projects funded by his NSF CAREER grant. Dr. Moss teaches courses such as Historical Geology, Oceanography, and Invertebrate Paleontology. His educational philosophy emphasizes connecting students to their environment to foster informed decision-making on environmental issues. He leads the Moss Paleobiology Lab, which investigates topics like latitudinal life history gradients and fossil bivalve longevity. Recent research highlights include a 2024 NSF CAREER grant supporting studies on longevity controls and educational outreach, and collaborative work on Baltic Sea Astarte borealis shells as climate archives. His lab’s equipment includes an ESLR Micromill2 for oxygen isotope analyses. Dr. Moss also prioritizes teacher development through workshops and summer programs for high school and community college students. Key awards include the NSF CAREER Grant. His lab’s activities include fieldwork in Florida and partnerships with institutions like the Smithsonian Museum of Natural History. He balances academic work with family life, having two sons and interests in fishing and college sports.
Dr. Jason Jones is an Associate Professor in the Department of Electronic and Electrical Engineering at Swansea University, leading the SwanSim Initiative. He holds a prominent role in advancing computational simulation technologies, including High Performance Computing (HPC), mesh generation, and web-based simulation tools. His work focuses on enabling accessible, user-friendly computational frameworks for engineering applications. Affiliations: Swansea University, School of Aerospace, Civil, Electrical and Mechanical Engineering Zienkiewicz Centre for Computational Engineering (ZCCE) SwanSim Initiative Lead His research interests span computational engineering, parallel computing, and the integration of modern technologies like neural networks into meshing processes. Key contributions include the FLITE mesh generator suite and the WebSim environment, which democratize access to advanced simulation tools. Jones has supervised multiple PhD and EngD projects, focusing on drone swarm systems and GNSS improvements. Notable grants include the Welsh Government-Airbus-funded 'On-Demand Web-Based Unstructured Mesh Generation' (2016–2019) and the EPSRC-funded 'Patient Specific Modelling Network' (2009–2013). His publications address diverse applications from ozone disinfection modeling to aerodynamic design of supersonic vehicles like the BLOODHOUND SSC. Teaching responsibilities include modules on software engineering, IoT systems, and engineering ethics. Jones maintains active industry collaboration through initiatives like the SwanSim platform, bridging academic innovation with practical engineering solutions.
Associate Professor Abbas Zeinijahromi holds a position at the University of Adelaide's School of Chemical Engineering within the Faculty of Sciences, Engineering and Technology. He serves as the Discipline Lead of Mining and Petroleum Engineering and holds the Chevron Chair in Carbon Storage Engineering. His expertise lies in GeoEnergy and GeoStorage, focusing on reactive multi-phase flow in porous media with applications in CO2 storage, hydrogen storage, and enhanced oil recovery. He leads the GeoEnergy and Storage Laboratory and co-leads the Formation Damage & EOR Research Group. Research Interests include CO2 Storage (CCUS), Underground Hydrogen Storage (UHS), Low Salinity Waterflooding, and Fines Migration phenomena. His work integrates mathematical and laboratory modeling to address challenges in subsurface energy systems. Publications span advanced modeling techniques for CO2 and hydrogen solubility, permeability impairment during CO2 injection, and mechanisms of fines migration in reservoirs. These studies emphasize environmental and energy sustainability through innovative subsurface engineering solutions. Awards and recognitions are not explicitly listed in the provided data. Teaching and supervision focus on energy resources engineering. He collaborates on grants related to carbon storage, hydrogen storage, and enhanced recovery technologies. Laboratory and team activities include the GeoEnergy and Storage Lab, emphasizing experimental and computational studies of subsurface processes.
Dr. Carlos Bartesaghi Koc is a Senior Lecturer at the University of Adelaide's School of Architecture and Civil Engineering, within the Department of Architecture and Landscape Architecture. His research focuses on urban climatology, environmental geosciences, and the application of computational technologies like AI and IoT in design. He holds a PhD in Planning and Urban Development from UNSW (2018), recognized with the Dean's Award for Outstanding PhD Theses (2019). Prior to his current role, he held positions at UNSW as a sessional lecturer and at Deakin University as a lecturer in Architecture. His work bridges academia, policy, and industry, influencing urban planning decisions through remote sensing and predictive modeling. He is eligible to co-supervise Masters and PhD students. Research Interests: Urban microclimate analysis using remote sensing and spatial data science Climate-sensitive design supported by AI and IoT Green infrastructure typologies and their thermal impacts Policy-driven urban heat mitigation strategies Impact & Engagement: His research has been integrated into national and international policy documents, toolkits, and industry reports. He actively collaborates with governments and organizations to improve urban planning decisions. His outputs include a public profile with links to his academic website, YouTube channel, and Sketchfab site. Grants & Supervision: Eligible to supervise in Architecture and Environmental Design Focus on Masters/PhD co-supervision
Dr. Katja Heister serves as Department Head of the GeoLab at Utrecht University's Faculty of Geosciences since September 2015. She is responsible for the operation of the GeoLab, including supervision of daily operational processes and development of long-term vision in collaboration with scientists and stakeholders. She works alongside operational manager Bernadette Marchand as part of the lab management team. Dr. Heister's research focuses on soil science and biogeochemistry, with particular emphasis on mineral-organic matter interactions, soil structure development, and contaminant behavior in soil environments. Her work integrates soil physics, chemistry, and microbiology to understand fundamental soil processes using artificial soil systems as experimental models. She has made significant contributions to understanding how clay minerals influence carbon and nitrogen cycling, microbial community development, and pollutant fate in soils. Analysis of Dr. Heister's publication record from 2014-2019 reveals consistent research themes in soil biogeochemistry, with particular focus on artificial soil systems, mineral-organic matter interactions, and contaminant remediation. Her work demonstrates interdisciplinary approaches combining advanced analytical techniques with ecological and geochemical principles to address fundamental questions in soil science. As Department Head of GeoLab, Dr. Heister oversees laboratory operations and strategic development while maintaining active research collaborations. She works closely with scientists across disciplines to advance soil science research methodologies and applications.
Dr. Andrew Phillips is a Senior Teaching Fellow in Environmental GIS at the School of Geography and Environmental Science , University of Southampton since 2016. Previously, he worked at the University of Sheffield and held roles as a GIS Analyst and researcher. His expertise spans GIS applications in environmental science, urban planning, and geospatial data analysis. Education and Career : Holds a BSc in Environmental Geosciences and a PhD using NASA’s SRTM data for geomorphometric studies. Transitioned to academia via a career break as a GIS Analyst for a regional Transport Executive, followed by research on water quality pollution and urban planning. Teaching : Specializes in geospatial technologies, including GIS modules for Ocean and Earth Science students. Aims to enhance student learning through practical GIS skills and pastoral support. Current roles include Senior Tutor for the School. Awards : Recognized for teaching excellence with multiple awards in 2018, including the Mike Clark Teaching Award and SUSU Academic Awards . Research : Focuses on GIS applications in environmental contexts, such as landform analysis and spatial data resolution impacts. Collaborates across disciplines and supports PhD student development through pedagogic mentorship.
Andrew Parsekian is an Associate Professor in the Department of Civil and Architectural Engineering and Construction Management at the University of Wyoming . He specializes in environmental geophysics, focusing on cryosphere and groundwater processes through non-invasive geophysical methods. Educational Background: Ph.D., Rutgers University–Newark (2011) B.S., Dickinson College (2005) His research leverages techniques like ground penetrating radar, seismic tomography, and electrical resistivity tomography to study permafrost dynamics, snow distribution, and subsurface hydrology. Recent work includes uncertainty quantification in geophysical inversion and machine learning applications for hydrofacies classification. Professor Parsekian teaches Fundamentals of Research (GEOL 5020) annually and Engineering and Environmental Geophysics (CE 5321/GEOL 5321) biennially, emphasizing practical skills for graduate students.
