Find Academic Supervisors

• Petroleum Engineering
• Multiphase Flow
• Subsea Processing
• +2 more

Milan Stanko is a Professor in Production Engineering and Field Development at NTNU's Department of Geoscience. As deputy leader of SUBPRO-Zero and BRU21 research programs, his work focuses on subsea hydrocarbon production systems, CO2 injection, and multiphase flow modeling. Research encompasses production optimization, subsea processing, water management, and renewable-integrated field designs. Current projects investigate bulk separation, cold flow production, and carbon injection systems using computational fluid dynamics and machine learning approaches. Teaches petroleum engineering courses and mentors doctoral researchers in multiphase flow modeling and field development optimization. Education includes PhD from NTNU and engineering degrees from Simón Bolívar University.

Peter BettsView profile

Professor

• Red Sea Tectonics
• Structural Geophysics
• Precambrian Evolution of the Australian Continent
• +7 more

Peter Betts is a Professor at Monash University's School of Earth Atmosphere and Environment. His research focuses on Red Sea tectonics, structural geophysics, Precambrian evolution of Australia, and subduction zone geodynamics. He leads major projects like the Three-dimensional Bayesian Modelling of Geological and Geophysical data (ARC-funded) and investigates mineral resource exploration through geophysical studies. Research Interests: Red Sea Tectonics Structural Geophysics (magnetic/gravity field analysis) Australian Precambrian Evolution Subduction Zone Dynamics Rare Earth Element (REE) Exploration Mineral System Analysis Recent Work: His 2024 studies include machine learning applications in geophysical data analysis and Red Sea lithospheric structure. Articles span topics from Afar Triple Junction dynamics to Antarctic crustal mapping. He has contributed to over 180 publications and 29 research projects. Recognition: Recipient of the Bruce Hobbs Medal (2015) and multiple teaching excellence awards. Active in editorial roles for journals like Earth-Science Reviews and Tectonophysics . Service: Served as Geological Society of Australia President (2021-2023) and currently chairs the Tectonics and Structural Geology group. Engages in community initiatives like junior basketball coaching (2015-2021).

• Paleohydrology
• Geomorphology
• Planetary Science
• +3 more

Victor R. Baker is a Regents' Professor in the Department of Hydrology and Atmospheric Sciences at the University of Arizona, with joint appointments in Geosciences, Planetary Sciences, and Global Change. His educational background includes a Ph.D. in Geology from the University of Colorado. Research specializes in paleohydrology and related aspects of geomorphology, particularly flood processes, planetary geomorphology, and Mars hydrology. Additional interests include Earth science in relation to public policy, the environment, and philosophy of science. Baker investigates catastrophic flooding phenomena on Earth and Mars, landscape evolution, and planetary surface processes. Recent publications demonstrate strong focus on Martian hydrology, megaflood geomorphology, and machine learning applications in planetary science. Baker's work examines evidence for ancient oceans on Mars, megaflood erosion features, and solutions to planetary climate paradoxes. He develops comparative approaches between terrestrial and Martian hydrological processes. Recent methodological innovations include applying machine learning to analyze valley networks and flood landscapes. Philosophical Contributions: Advocates for geological thinking in natural hazard management and promotes abductive reasoning in earth sciences. Explores epistemological foundations of geomorphological investigation and the role of outrageous hypotheses in advancing science.

• Sustainable Georesources Engineering
• Geospatial Data Science
• Mining Planning
• +5 more

Helga Jordan is an Assistant Professor at the Department of Mineral and Energy Resources Engineering, Instituto Superior Técnico (University of Lisbon). She specializes in sustainable georesources engineering, integrating geospatial data science, mining planning, and mineral processing. Her research focuses on applying advanced computational methods like Bayesian neural networks and generative adversarial networks to geological modeling and resource recovery challenges. She is affiliated with the Center for Natural Resources and Environment (CERENA) and teaches courses such as Geospatial Data Science and Design of Mineral Processing Facilities. Her research interests span the intersection of machine learning and geosciences, including uncertainty quantification in geological models, environmental impact assessment of mining activities, and innovative recycling technologies for metal recovery from waste streams. She has contributed to projects like the Digital Twin Earth initiative for coastal flood modeling and the optimization of mineral processing equipment using statistical design methodologies. Key research areas include: Deep learning applications in geological data analysis Waste-to-resource transformation technologies Environmental sustainability in mineral resource management Her work bridges fundamental research with industrial applications, particularly in improving resource efficiency and reducing environmental footprints in mining and urban contexts.

Bilal MutluView profile

Researcher

• Geomatics
• Geodesy
• Disaster and Earthquake
• +6 more

Bilal Mutlu is a Research Assistant at Istanbul Technical University, Faculty of Civil Engineering, Department of Geomatics Engineering. His work focuses on satellite geodesy, GNSS positioning techniques, and natural hazard monitoring using geosensors. He has published extensively on real-time precise point positioning (RT-PPP) in polar regions, Antarctic geodetic studies, and multi-GNSS applications. Education: PhD (Geomatics Engineering, ongoing), MSc (2022), BSc (2019) all from Istanbul Technical University. Research Themes: Real-time GNSS positioning, polar region geodesy, earthquake monitoring, multi-resolution remote sensing for urban infrastructure, and integration of GNSS with AI models for meteorological predictions. Publication Trends: Primarily in Earth Sciences, Geodesy, and Remote Sensing journals, with emphasis on Antarctic positioning systems, PPP-AR performance, GNSS reflectometry, and disaster monitoring. Technical Skills: Python, LaTeX, GNSS software (RTKLIB, GAMIT, Trimble Business Center), and Bash scripting.

Mark DunneView profile

Senior Lecturer

• Digital Learning Platforms in Healthcare
• Machine Learning in Medicine
• Clinical Education
• +5 more

Mark Dunne is a Visiting Senior Lecturer at the School of Optometry, College of Health and Life Sciences, Aston University. His research focuses on developing digital learning platforms (MyDLP) for optometry education, integrating machine learning with Bayesian decision-making systems. He also explores Orange Data Mining tools for clinical applications. Dunne has been recognized with the 2019 Dr. Lester Janoff Award for his article on virtual patient instruction in Optometric Education. Education: BSc Zoology (Bangor University, 1980–1983), PhD in Optometry (Aston University, 1983–1987). Teaching includes undergraduate modules (Clinical Visual Biology, Ophthalmic Lenses) and postgraduate research methods courses. Research Interests: Machine learning in clinical decision support, optometry education technology, and Bayesian analysis of ocular conditions like glaucoma. His work bridges data science and healthcare, emphasizing translational learning frameworks for clinicians. Recent publications span topics like myopia progression analysis, macular damage detection via machine learning, and comparative planetary geology using AI. Collaborations include interdisciplinary projects with biomedical engineers and data scientists. Professional Contributions: Supervised 15+ student works, advised on clinical compliance metrics, and pioneered the integration of Orange Data Mining in optometric diagnostics.

Yasir BashirView profile

Assistant Professor

• Applied Geophysics
• Seismology
• Earth Physics
• +4 more

Yasir Bashir is an Assistant Professor at Istanbul Technical University's Department of Geophysical Engineering, Faculty of Mining. His academic journey includes a PhD from Universiti Teknologi Petronas (2013-2018) and prior roles as Lecturer at University of Technology PETRONAS (2015-2020) and Universiti Sains Malaysia (2020-2023). His research focuses on applied geophysics, seismic imaging, reservoir characterization, and integration of machine learning with geophysical data. Key projects include high-resolution seismic imaging, 4D seismic analysis, and geothermal exploration. Education: PhD in Geophysics, Universiti Teknologi Petronas (2013–2018) MSc in Geoscience, University of Balochistan (2004–2006) BSc in Geology, Quaid-i-Azam University (2010–2012) Research Interests: Seismic inversion and reservoir characterization Machine learning applications in geophysics Carbonate and clastic reservoir modeling 4D seismic for reservoir monitoring Geothermal exploration using seismic and borehole data Notable Awards: USM 2021 MOOC Award Professional Technologist (Malaysia Board of Technologists, 2022) Best Paper Presentation Award (GeoSea 2022) Grants & Projects: Executive: Integrated Geo-Seismic Modeling for Hydrocarbon Reservoir Delineation (₺334,868) Researcher: Gravity And Magnetic Survey Of Prefeasibility Study Of Ulu Slim Geothermal Prospect ($10,000) Completed: High Resolution Seismic Imaging using Diffraction Data (₺150,000) Labs/Teams: Leading the Center of Seismic Imaging (CSI) collaboration with international partners, focusing on advanced seismic algorithms and reservoir characterization.

Vandana JanejaView profile

Professor

• Data Science
• Artificial Intelligence
• Geoscience
• +4 more

Dr. Vandana Janeja is a distinguished academic and researcher at the University of Maryland, Baltimore County (UMBC), serving as the Associate Dean for Research and Faculty Development in the College of Engineering and Information Technology. She previously chaired the Department of Information Systems from 2019 to 2023. Her work bridges information technology, geoscience, and social sciences to address global challenges like climate change, cybersecurity, and ethical AI applications. Dr. Janeja leads high-impact projects such as the NSF-funded iHARP Institute, uniting over 80 researchers across 9 institutions to study polar regions. She pioneered audio deepfake detection through linguistic collaboration and developed machine learning frameworks for climate modeling (e.g., DeepTopoNet, IDRIFTNET). Her research has secured $16.5M in NSF funding and produced influential work on data science education and geospatial anomaly detection. Research Focus : Combining AI with domain sciences, her work spans glaciology, cybersecurity, and ethical AI. Recent projects include ice sheet modeling, deepfake mitigation, and tracking human trafficking patterns via text analysis. She emphasizes transdisciplinary collaboration and societal impact, such as K-12 data science education programs. Awards : 2024 University System of Maryland Regents Faculty Award for Excellence in Research, among others. Her work has been recognized for advancing both technical innovation and societal benefit. Grants & Leadership : Over $16.5M NSF funding secured. She chairs the iHARP Institute and leads multiple NSF initiatives. Her leadership roles include fostering faculty development and research excellence at UMBC.

Ryan VenturelliView profile

Assistant Professor

• Isotope Geochemistry
• Cryospheric Change
• Glacial Systems
• +3 more

Ryan Venturelli is an Assistant Professor in the Department of Geology and Geological Engineering at the Colorado School of Mines. His research focuses on isotope geochemistry and glacial systems, particularly in Antarctica, aiming to understand past cryospheric changes and their relevance to modern ice mass loss. He leads the Rates and Dates Laboratory, emphasizing field-based investigations into glacial retreat dynamics, subglacial processes, and biogeochemical interactions. Education: PhD in Marine Geology, University of South Florida (2021) MS in Earth and Quaternary Systems, Indiana State University (2015) MS in Geology, Indiana University Northwest (2013) His research interests include reconstructing glacial chronology using isotopic methods, studying subglacial lake systems, and investigating how past environmental conditions influenced ice sheet behavior. He explores linkages between glacial meltwater dynamics, sedimentary records, and microbial communities in subglacial environments. Key areas of focus include the Amundsen Sea Embayment and Pine Island Glacier regions, where he examines Holocene ice sheet thinning, grounding line retreat, and potential reversibility of modern glacial changes. His work integrates field sampling, geochronological techniques, and machine learning for analyzing subglacial bedforms. Teaching responsibilities include courses on Earth systems, paleoclimatology, proposal writing, and futures studies in the geosciences. He actively collaborates on Antarctic drilling projects and promotes transdisciplinary radiocarbon research methodologies.

Layla IzadiView profile

Researcher

• Environmental Geochemistry
• Climate Change
• Soil Biogeochemistry
• +3 more

Layla Izadi is a Research Scientist in the Department of Geosciences at the University of Texas at Dallas (UTD), affiliated with the Environmental Soil Biogeochemistry Laboratory (ESB Lab). Her work focuses on climate-change-related stressors such as sea-level rise, salt-water flooding, drought, and wildfire impacts on toxic metal and nutrient cycling in soils. She holds a PhD in Soil Sciences (2022) and an MCE in Civil Engineering (2021), both from the University of Delaware. Her research integrates advanced techniques like synchrotron-based microspectroscopy to study arsenic (As), chromium (Cr), lead (Pb), phosphorus (P), nitrogen (N), and sulfur (S) behavior under varying environmental conditions. Key emphases include predicting contaminant mobility in water systems and developing strategies to mitigate environmental/public health risks. Research Highlights: Examines sea-level rise-induced flooding effects on coastal sediment arsenic release Investigates climate-driven changes in toxic metal speciation and bioavailability Applies machine learning for arsenic level prediction and pollution modeling Awards: SPIRe Seed Grant (2024) CORE Institute Fellowship (2023) NSF Engineering Postdoctoral Fellowship (2023) Donald L. and Joy G. Sparks Fellowship (2021) Grants: "Impact of Sea-Level Rise..." ($60k, UTD 2024) "Climate Change and Contaminants" ($259k, NSF 2023) "Arsenic Fate During SLR" ($70k, NSF 2020) She advises undergraduate and graduate students and collaborates with institutions like the NSF and Delaware EPSCoR. Her work bridges environmental chemistry, geology, and engineering to address urgent climate-related environmental challenges.

Martin WoosterView profile

Professor

• Earth Observation
• Biomass Burning
• Landscape Fires
• +5 more

Professor Martin Wooster is a leading academic in Earth Observation Science and biomass burning research at King's College London. He holds the position of Professor of Earth Observation Science within the Department of Geography, School of Global Affairs, Faculty of Social Science & Public Policy. His research focuses on satellite remote sensing applications, wildfire dynamics, and their environmental impacts, including air quality and climate change. Education : BSc in Physics, University of Bristol MSc in Remote Sensing, University of London PhD in Earth Sciences (volcanic remote sensing via ATSR instrument), Open University Research Interests : Wooster specializes in quantifying landscape fire emissions, developing remote sensing techniques for wildfire monitoring, and understanding fire's role in Earth system processes. His work integrates satellite data with field measurements to assess fire impacts on the atmosphere, carbon cycle, and human health. Key areas include: Satellite-based fire radiative power (FRP) product development Biomass burning emissions and their climate implications Wildfire-air quality interactions, especially in developing regions Geostationary and polar satellite sensor applications Notable Achievements : Co-director of the Leverhulme Centre for Wildfires, Environment and Society Former Principal Investigator at NERC National Centre for Earth Observation Awarded 'Young Academic Researcher of the Year' (2007) and 'Innovation and Impact' (2009) by King's College Recipient of the Daiwa-Adrian Award for UK-Japan collaborative science (2001) Current Projects : Wooster leads the King's Earth Observation and Wildfire Research Group and collaborates on global wildfire monitoring initiatives. His recent work includes: Developing improved fire detection algorithms for Sentinel-3 and GOES-16 satellites Assessing health impacts of Indonesian peatland fires on urban populations Quantifying fire emissions via machine learning and geostationary data Labs/Teams : He directs the King's Earth Observation and Wildfire Research Group, part of the interdisciplinary Leverhulme Centre, which combines geoscience, health, and policy perspectives on wildfires.

Liangliang HuangView profile

Associate Professor

• Nanomaterials Engineering
• Molecular Simulation
• Drug Delivery Systems
• +5 more

Liangliang Huang is an Associate Professor at the University of Oklahoma, affiliated with the Sustainable Chemical, Biological and Materials Engineering school. His academic journey includes a Ph.D. from North Carolina State University (2012), and M.S. and B.S. degrees from Nanjing University of Technology (2007 and 2003). His research focuses on molecular simulation-driven advancements in nanomaterials and catalysis. Key areas include biofunctionalization of graphene oxide for drug delivery, mesoporous titanium dioxide for catalytic reactions, and the design of materials for environmental and biomedical applications. Recent studies explore mechanisms of drug delivery via GO functionalization, optimizing TiO₂ catalysts for reaction-diffusion processes, and understanding material behavior at interfaces. His work integrates multi-scale modeling with experimental collaborations to address challenges in energy storage, pollution control, and biomedical engineering. Publications span over 50 peer-reviewed articles since 2006, emphasizing computational studies of adsorption, catalysis, and nanomaterial behavior. His research has implications for drug delivery systems, pollutant degradation, and sustainable energy solutions.

Nicholas C. SchmerrView profile

Associate Professor

• Planetary Seismology
• Solid Earth Geophysics
• Planetary Geology
• +5 more

Nicholas C. Schmerr is an Associate Professor in the Department of Geology at the University of Maryland, College Park. He holds affiliations with NASA Goddard Space Flight Center’s Planetary Geodynamics Laboratory and the Carnegie Institution for Science’s Department of Terrestrial Magnetism. His research focuses on planetary seismology, geodynamics, and the evolution of terrestrial bodies, with a particular emphasis on Mars, the Moon, and icy ocean worlds. Schmerr leads the GEODES SSERVI NASA project, which integrates seismology for planetary exploration. He earned his Ph.D. in Geology from Arizona State University in 2008. Research Interests: Schmerr’s work spans planetary seismology, mantle dynamics, and cryospheric processes. Key projects include analyzing data from the InSight Mars mission, studying lunar seismicity, and investigating subsurface structures on icy moons like Europa and Enceladus. His lab develops advanced seismological tools and collaborates with institutions such as the USGS, Smithsonian, and JPL. Publications: Over 100 peer-reviewed articles, including breakthroughs in Martian core detection, lunar crustal thickness, and subglacial lake characterization. Recent work focuses on tidal seismicity on icy worlds and mantle transition zone anisotropy. Grants & Awards: Not explicitly listed, but his leadership of NASA-funded projects indicates significant grant support. His research is featured in venues like Nature Geoscience and Science. Labs & Teams: Directs the UMD Planetary Geophysics Lab and collaborates internationally to advance planetary exploration technologies. Current projects include the Lunar Geophysical Network and Arctic analog studies for icy ocean seismology.

Amir AllahvirdizadehView profile

Lecturer

• Positioning, Navigation and Timing (PNT)
• Satellite Technology
• Orbit Determination
• +3 more

Dr. Amir Allahvirdizadeh is a Lecturer at the School of Earth and Planetary Sciences (EPS) at Curtin University, part of the Faculty of Science and Engineering. He holds a portfolio in the Office of the Provost and is based at Curtin Perth. His research focuses on next-generation Positioning, Navigation, and Timing (PNT) systems leveraging Low Earth Orbiting (LEO) satellites, precise orbit determination, physics-based machine learning, and lunar PNT. He is affiliated with the Institute for Geoscience Research (TIGeR) and the GNSS Research Center. Dr. Allahvirdizadeh's academic career includes roles as a Research Associate (2022–2024), Casual Academic (2013–2022), and industry experience as a Geodetic Surveyor and Project Manager. He has received awards such as the DB Johnston Award (2023) and the Curtin International Postgraduate Research Scholarship (2019). His research activities include optimizing CubeSat orbit determination, developing the Shadow Toolbox software, and analyzing GNSS signal effects in Earth's shadow. He serves as a Guest Editor for Remote Sensing, reviews for journals like GPS Solutions and IEEE Transactions, and chairs sessions at international conferences (e.g., ISPRS Technical Commission IV Symposium). As a network administrator, he manages Curtin's GNSS receiver network, contributing data to global agencies like the International GNSS Service (IGS-MGEX). Education: PhD in Spatial Sciences (funded by ARC Discovery Project DP 190102444), MSc in Geodesy. Grants: Curtin Faculty of Science and Engineering Research Grant (2025), TIGeR Small Grant (2022). Labs/Teams: GNSS Research Center, TIGeR, and the Innovation Central Perth - Binar Space Program.

Yeliz YilmazView profile

Researcher

• Earth Observations
• Earth System Models
• Terrestrial Water and Energy Cycles
• +8 more

Yeliz Yilmaz is a Researcher at the Department of Geosciences, University of Oslo, with affiliations to the Section for Geography and Hydrology (GeoHyd). Her academic journey includes a Ph.D. in Earth System Sciences (2019, Istanbul Technical University), postdoctoral research (2019–2021), and visiting researcher positions at institutions like NCAR. She specializes in integrating Earth Observations and Earth System Models to understand terrestrial water and energy cycles, particularly snow and vegetation processes at regional scales. Her research interests span climate change, hydroclimatology, regional climate modeling, satellite remote sensing, and land-atmosphere interactions. She actively contributes to projects like SNOWDEPTH (global snow depth analysis), EMERALD (ecosystem-climate interactions), and GLACMASS (glacier mass changes). Key scientific contributions include advancing land surface modeling through data assimilation and machine learning, evaluating Nordic hydroclimatic variables using coupled climate models, and exploring snow-vegetation-atmosphere interactions in alpine environments. Her work bridges observational data with modeling frameworks to address climate extremes and environmental variability. Yeliz is affiliated with research groups such as the Centre for Biogeochemistry in the Anthropocene (CBA) and the Hydrology and Water Resources team. Her interdisciplinary approach addresses pressing issues in climate science and environmental sustainability.