Christian Kehl is a Lecturer at the Faculty of Science and Engineering, University of Groningen, specializing in Scientific Visualization and Computer Graphics. His work intersects Earth and Planetary Sciences, Environmental Science, and Computer Science, with a focus on physics-based games, computational geosciences, and marine pollution mitigation. His research contributes to the UN Sustainable Development Goals (SDGs), particularly in education and environmental challenges. Recent projects include developing mobile simulations for fluid transport and interactive games to raise public awareness about marine pollution in the Dutch North Sea. Key collaborators include researchers from University College Dublin. His academic background includes a Doctor of Mathematics and Natural Sciences in Computational Geosciences from the University of Bergen, completed between November 2014 and October 2017. His research outputs emphasize advection, environmental management, and SIMD architecture applications in computational modeling.
Matteo Icardi is an Associate Professor in Applied Mathematics at the University of Nottingham's School of Mathematical Sciences, appointed in October 2017. His research bridges numerical methods, mathematical modeling, and engineering applications with emphasis on complex flow systems and computational frameworks. Education: BSc and MSc in Engineering Mathematics from Politecnico di Torino PhD in Chemical Engineering from Politecnico di Torino (2012) with thesis on 'Computational models for turbulent poly-dispersed flows: LES and QBMM' Research Interests: Professor Icardi specializes in multiphase flow modeling, porous media transport, multiscale methods, uncertainty quantification, and computational fluid dynamics. His work leverages OpenFOAM-based solvers for applications in environmental fluid dynamics, lithium-ion battery simulation, and industrial transport processes. Current research focuses on model reduction techniques and physics-informed neural networks for complex systems. Publication Trends: Recent work (2023-2025) demonstrates strong focus on homogenization methods (HiPhom), topological data analysis for infrastructure resilience, and multiscale modeling of peatlands, bubble dynamics, and electrochemical transport. The research consistently addresses heterogeneous porous media using advanced computational frameworks with applications spanning environmental systems and energy storage. Scientific Awards: No scientific awards mentioned in source material Advising and Grants: Professor Icardi advises PhD students and collaborates with postdoctoral researchers. He participates in the MultiForm research group and Multiscale Modelling Research Theme, though specific grant details are not provided in the source material. Labs and Teams: Co-founder of the MultiForm research group (Multiscale Fluid Dynamics and Porous Media) and initiator of the Multiscale Modelling and Heterogeneous Media Research Theme at Nottingham, fostering interdisciplinary collaboration between Mathematics and Engineering departments.
Rien van Genuchten is a Visiting Professor in the Department of Earth Sciences at Utrecht University's Faculty of Geosciences, Netherlands, and a Collaborating Professor at the Federal University of Rio de Janeiro, Brazil. He holds a Ph.D. in Soil Physics from New Mexico State University (1975), an M.S. in Irrigation and Drainage from Wageningen University (1971), and a B.S. from the same institution (1968). His career includes leadership roles at the U.S. Salinity Laboratory and adjunct positions at the University of California, Riverside. His research centers on water flow and solute transport processes in soils and groundwater , emphasizing analytical/numerical modeling, hydraulic property characterization, inverse methods, and preferential flow. Key interests include soil physics, hydrogeology, and environmental contaminant transport. Recent publications focus on advanced modeling of unsaturated hydraulic properties , pore-scale dynamics in heterogeneous media, and environmental tracer applications. Trends highlight interdisciplinary approaches combining machine learning, digital rock physics, and field-scale validation to address soil salinization, carbon sequestration, and climate resilience. Major scientific awards include: Wolf Prize in Agriculture (2023) US National Academy of Engineering Member (2024) Robert E. Horton Medal, American Geophysical Union (2020) Prince Sultan Bin Abdulaziz International Prize for Water (2018) European Geosciences Union Dalton Medal (2010) Don and Betty Kirkham Gold Medal (2016) He contributes to collaborative projects on soil hydraulics and contaminant transport, with affiliations spanning Brazil, Europe, and the U.S. Future work emphasizes sustainable land/water management in saline environments.
Wilco Hazeleger serves as Rector Magnificus of Utrecht University since 26 March 2025 and professor of Climate System Science. As rector, he oversees research, education, and student affairs at Utrecht University, with a mission to make the institution open and accessible to society through interdisciplinary connections and societal collaboration. Previously, he served as dean of the Faculty of Geosciences from July 1, 2019 to March 1, 2025, where he championed diversity, inclusivity, and sustainability-focused research. Current Position: Rector Magnificus of Utrecht University (2025-present) Academic Appointment: Professor of Climate System Science Previous Leadership: Dean of Faculty of Geosciences (2019-2025) Former Roles: Director of Netherlands eScience Center (2014-2019), Professor of Climate Dynamics at Wageningen University Education: PhD in Physical Oceanography from Utrecht University (1999) Hazeleger's research spans climate modeling, oceanography, and the application of data science to climate challenges. He pioneered narrative approaches to climate change based on vulnerability mapping, enabling better understanding of future weather extremes. His work connects climate science with societal applications, particularly through digital twin technology for Earth system modeling. His research trajectory demonstrates a clear evolution from fundamental climate science toward integrated approaches combining AI, data science, and climate modeling. Recent publications focus on digital twins of Earth, climate risk assessment through event-based storylines, and applications of machine learning to climate prediction. His work on EC-Earth, a climate model based on ECMWF's weather model, has been instrumental in IPCC assessment reports. Climate System Science: Focus on interactions within Earth's climate system Digital Earth Twins: Development of integrated simulation frameworks Climate Risk Assessment: Innovative approaches using narrative/storyline methods AI Applications: Machine learning for climate prediction and analysis Hazeleger is deeply committed to open science principles, advocating for open data, software, and knowledge sharing. He co-founded the AI Lab Sustainability, facilitating collaboration between sustainability researchers, computer scientists, and external stakeholders. His leadership extends to implementing the MERIT promotion policy at the Faculty of Geosciences, which values research, education, leadership, impact, and team spirit equally. As a key contributor to the European 'Destination Earth' program, Hazeleger bridges fundamental climate research with practical applications for addressing climate change challenges. His interdisciplinary approach connects climate science with social sciences, computer science, and policy development, positioning him at the forefront of next-generation climate research infrastructure.
Hai Cheng is a Corresponding Member of the Division of Mathematics and Natural Sciences abroad at Xi'an Jiaotong University since 2022. His research focuses on geosciences, particularly geochemistry and climatology, with significant contributions to understanding climate change through speleothem records and ice age terminations. Research Areas: Geosciences Geochemistry Climatology Climate Change Scientific Awards: EGU Milutin Milankovic Medal (2022) AGU Eminiani Lecturer (2019) AGU Fellow (2017) Geochemical Fellow (2015) Thomson Reuters China Citation Laureates Award (2014) Recent Research Trends: His publications emphasize climate change reconstruction using uranium-thorium dating methods, monsoon system analysis, and ice age termination studies. Key methodologies include isotope geochemistry and multi-collector ICP-MS techniques applied to cave sediment records.
Michael Ghil is a leading geoscientist and climate dynamicist holding faculty appointments at the University of California, Los Angeles (UCLA) and Imperial College London . Since 2005 he has also served as a Corresponding Member of the Division of Mathematics and Natural Sciences abroad. His research integrates nonlinear dynamics with climate science, oceanography and even macroeconomics, focusing on how complex systems evolve over time. Among his accolades are the Alfred Wegener Medal , Lewis Fry Richardson Medal , and Guggenheim Fellowship . Alfred Wegener Medal and Honorary Membership, European Geosciences Union Lorenz Lecture, American Geophysical Union Lewis Fry Richardson Medal, European Geosciences Union NSF Special Creativity Awards Guggenheim Fellowship Recent publications (2019–2020) include comprehensive reviews on climate variability, the physics of climate change, and a centennial retrospective on nonlinearity in the geosciences, underscoring his sustained leadership at the intersection of mathematics, physics and earth-system science.
Katarzyna Zuleta Estrugo is a Lecturer at the École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Basic Sciences and the Mathematics Section. She contributes to teaching programs for biology, pharmaceutical sciences, and geosciences students, and participates in the Euler program, which focuses on interdisciplinary education and outreach. Collaborates with the University of Lausanne through joint teaching initiatives for biology and geoscience students. Teaches foundational mathematics courses for life and environmental sciences. Engaged in the Euler program to promote mathematical education and public engagement. Her expertise bridges mathematics with applications in biology, pharmacy, and geosciences, emphasizing pedagogical approaches to interdisciplinary science. No scientific awards, publications, or advisees are mentioned in the available information.
Prof. Dr. Stefan Harmeling is a Distinguished Professor at TU Dortmund University 's Faculty of Computer Science and leads the Harmeling Lab . Previously, he served as Professor for Machine Learning at Universität Düsseldorf (2014-2022) and held postdoctoral positions at the University of Edinburgh (2005-2007) and Max Planck Institutes in Tübingen (2007-2014). His research spans machine learning , deep learning , reinforcement learning , and causality , with applications in medical imaging , seismology , and political discourse analysis . Education : Dipl. Math. in Mathematical Logic, University of Münster (1998) M.Sc. in Computer Science, Stanford University (2000) Dr. rer. nat. in Machine Learning, University of Potsdam (2005) His scientific contributions include 15 recent publications (2021-2025) covering topics from cardiac MRI analysis to LLM applications in political deliberation . These works demonstrate expertise in generative models , self-supervised learning , and adversarial robustness . Notable awards : 2022: Helsinki Tomography Challenge winner 2012: Günter Petzow Prize 2011: DAGM Prize 2009: COSMOSTAT Best Contribution 2009: GREAT08 Challenge Top Score As an advisor, he has mentored 8 PhD students including Tobias Uelwer (2023 PhD), Sebastian Konietzny , and Maike Behrendt . His teaching portfolio includes courses on probabilistic reasoning, machine learning, and deep learning at TU Dortmund. He also serves as area chair for TinyPapers@ICLR 2024 and organizer for multiple NeurIPS/ICML workshops.
Darrin Willauer is a Senior Lecturer in the Manufacturing & Mechanical Engineering Technology department at Texas A&M University. He holds a Master of Science in Mechanical Engineering from The University of Texas at Austin (1991) and a Bachelor of Science in Mechanical Engineering from the same institution (1988). His contact details include phone number 979-845-2361 and office location in THOM 118J. Education: M.S. & B.S. in Mechanical Engineering from UT Austin Contact: dlwillauer@tamu.edu | 979-845-2361 | THOM 118J Willauer specializes in product development processes , digital transformation , and smart systems with applications in IoT , downhole instrumentation , and emerging energy technologies . His work bridges traditional mechanical engineering with nanomaterials and O&G completions through advanced simulation and modeling techniques. His research portfolio demonstrates strong focus on energetic material evaluation , rotational relaxation simulations , and real-time coiled tubing measurements . These publications from 1991-2009 span thermal physics , petroleum engineering , and computational mechanics . Scientific Awards: 26 patents | Harts Meritorious Award (2023) | OTC Spotlight Awards (2020, 2015) | World Oil Award (2013) Industry Leadership: 25+ years in global energy sector at Baker Hughes, NovaCentrix, Schlumberger Technical Leadership: API Intelligent Well Standards Chairman | SPE Workshop Presenter
Dr. Shingo Shimizu is a Senior Researcher at the National Research Institute for Earth Science and Disaster Resilience (NIED), Japan , and a Visiting Professor at Yokohama National University's Advanced Research Institute for Science and Technology, Typhoon Science and Technology Research Center . His work focuses on mesoscale meteorology and extreme weather prediction using advanced radar systems and data assimilation techniques. Education: PhD (Science, 2007) - Nagoya University Master's (Environmental Studies, 2003) - Nagoya University BSc (Physics, 2001) - Hokkaido University Dr. Shimizu's research interests include cloud-resolving numerical simulations , Doppler radar analysis , and data assimilation for improving short-term precipitation forecasts. His work has pioneered linear precipitation band (Senjo-Kousuitai) prediction systems critical for disaster prevention in Japan. Key trends in his 15 most recent publications (2019–2025) span topics like 3D lightning observation networks , water vapor lidar assimilation , and machine learning applications to rainfall forecasting. Subfields include storm dynamics , urban meteorology , and atmospheric instability . Scientific Awards : 2024: Science and Technology Award (Development Division), Ministry of Education, Japan 2023: JDR Most Cited Paper Award 2022: Japan Meteorological Society's Okada Prize (Service Contribution) 2022: NIED President's Award (Achievement Recognition) Dr. Shimizu holds 9 patents related to precipitation and lightning prediction systems. He has coordinated major research programs like SIP/BRIDGE (2018–2023) and currently leads Advanced Disaster Prevention Technology Integration research (2023–2025). Active in professional societies including the Meteorological Society of Japan (since 2024) and Japan Geoscience Union (since 2023), he serves on various government advisory committees.
Aleksandar Kartelj is an Associate professor at the Department for Computer Science, Faculty of Mathematics, University of Belgrade. He has been working at the Faculty of Mathematics since 2008, starting as a Teaching assistant, then becoming Assistant professor (2015-2023), and currently Associate professor (since October 2023). He also serves as a Guest professor at the Faculty of Natural Science and Mathematics, University of Banjaluka since 2018. Education: B.Sc. in Computer Science from Faculty of Mathematics, University of Belgrade (2005-2008, GPA 9.94/10.00) M.Sc. in Computer Science from Faculty of Mathematics, University of Belgrade (2008-2010, GPA 9.92/10.00) PhD in Computer Science from Faculty of Mathematics, University of Belgrade (2010-2014, GPA 10.00/10.00) M.Sc. in Quantitative Finance from Faculty of Economics, University of Belgrade (2010-present) Aleksandar Kartelj's research primarily focuses on optimization and data mining. He is a member of the "Modelling and optimization group" at the Faculty of Mathematics. His work involves designing exact and non-exact optimization techniques such as integer (linear) programming models, branch & bound, beam search, variable neighborhood search, and genetic algorithms. These techniques are applied to solve NP-hard problems in computational biology, transportation, logistics, social networks, and for improving machine learning algorithms. His recent publications (2021-2025) span diverse areas including symbolic regression, constrained longest common subsequence problems, graph protection algorithms, Roman domination in graphs, and applications in computational biology and epidemiology. His work frequently appears in high-impact journals such as Journal of Big Data, Expert Systems with Applications, and Knowledge-Based Systems, with many publications classified as M21a (Q1). Scientific Awards: Best paper award at the 2023 Second Serbian International Conference on Applied Artificial Intelligence (SICAAI) for "Integrating Top-level Constraints into a Symbolic Regression Search Algorithm" Aleksandar Kartelj has been involved in several research projects, including being a Research member on the project "Mathematical Models and Optimization Methods for Large-Scale Systems" (2011-2020) and a Research leader on the project "Combinatorial optimization for cancer progression inference and comparison" (2019-present). He has also developed numerous software applications for various organizations including the UN FAO, International Monetary Fund, and several private companies. He has been actively involved in teaching, serving as a Computer science teacher at Computer Gymnasium and Mathematical Grammar School in Belgrade, in addition to his university teaching responsibilities.
Rodica Curtu is a Professor in the Department of Mathematics at the University of Iowa, specializing in applied mathematics with interdisciplinary applications. Her research integrates mathematical modeling with neuroscience, environmental science, and systems biology. Research Focus: Dr. Curtu's work spans computational neuroscience (auditory perception, neural dynamics, interval timing), nonlinear systems (bifurcation theory, multiscale dynamics), and environmental hydrology (watershed modeling, rainfall-runoff relationships). Her recent publications demonstrate a strong emphasis on cognitive neurodynamics and neural circuit mechanisms. Publication Trends: Recent works (2020-2025) focus primarily on neural mechanisms of perception, employing electrophysiological data and dynamical systems approaches. Earlier contributions (2015-2019) include significant work in hydrological systems and cellular biology. Methodologically, her research consistently combines mathematical rigor with empirical validation across disciplines. Collaborations: She has led major interdisciplinary grants including the NSF CRCNS project on auditory perceptual modeling, leveraging large-scale intracranial recordings.
Ralph Trancoso is a Research Fellow at the School of Biological Sciences, University of Queensland, and also works with the Department of Environment and Science (Queensland Government). He is an Earth System scientist with expertise spanning ecohydrology, climate change, spatial sciences and data analysis. His work integrates these knowledge branches to address relevant societal issues, particularly focusing on the two most important drivers detrimentally impacting coral reefs: climate change and catchment processes. Dr. Trancoso's educational background reflects his interdisciplinary approach: PhD in Earth and Environmental Sciences (University of Queensland) MSc of Applied Geosciences (University of Brasilia) MSc of Tropical Forests Sciences (National Institute for Research in the Amazon) BSc in Forest Engineering (University Federal Rural of Rio de Janeiro) Trancoso's research portfolio demonstrates a strong focus on understanding Earth surface processes through the integration of multiple disciplines. His work spans ecohydrology, climate change science, and spatial analysis, with particular attention to how catchment processes are changing due to landscape- and climate-induced changes and how these changes impact other systems like coral reefs and society through water supply and flood regimes. He has investigated catchments with varying hydrological regimes worldwide, contributing to theoretical knowledge of critical processes. His current main research projects focus on climate sciences to underpin adaptation and mitigation of climate change, including the development of the Queensland Future Climate dashboard, an interactive regionalization platform with high-resolution climate change data for regions within Queensland. Analysis of Trancoso's publication record reveals a consistent research trajectory focused on the intersection of hydrology, climate science, and environmental management. His work spans multiple continents with particular emphasis on the Amazon Basin, Australian ecosystems, and global comparative studies. The publications demonstrate a progression from foundational work in deforestation monitoring and catchment processes to more sophisticated climate modeling and analysis of climate change impacts. A notable trend is the increasing focus on practical applications of research for environmental and climate policy, with recent work directly supporting decision-making through tools like the Queensland Future Climate dashboard. His research consistently bridges theoretical understanding with practical applications for environmental management. Trancoso has worked across multiple environmental sectors including academia, industry, government, and consultancy in both Australia and Brazil. He is currently developing the Queensland Future Climate dashboard, an interactive platform providing high-resolution climate change data for regional planning in Queensland. His work appears designed to directly support environmental and climate policies alongside contributing to pure scientific understanding. While specific grant information isn't detailed in the provided text, his involvement in government-related projects suggests collaboration with public sector funding sources. Trancoso is open to collaboration, as indicated by his statement that he is 'usually keen to collaborate in research projects related to his fields of expertise' and welcomes contact from 'prospective students and colleagues.' His work with the Queensland Government suggests involvement in interdisciplinary teams focused on climate change adaptation and environmental management in Queensland.
Nezamoddini-Kachouie Nezamoddin is an Associate Professor in the Department of Mathematics and Systems Engineering at Florida Institute of Technology , with an affiliate appointment in the Department of Electrical Engineering and Computer Science , both within the College of Engineering and Science . Since joining Florida Tech in 2012, he has built an interdisciplinary research program bridging engineering, medicine, and biology. Education & Training BASc – Electrical & Computer Engineering MASc – Systems Design Engineering, University of Waterloo, 2008 PhD – Biomedical Engineering Postdoctoral Fellow – Harvard Medical School & Harvard School of Public Health, 2010-2012 Research Interests Dr. Kachouie’s work sits at the confluence of statistical modeling , machine learning , artificial intelligence , image processing , pattern recognition , and biostatistics . He leverages these tools to tackle grand challenges in cancer research , public health , and climate change , producing actionable insights from complex, high-dimensional data. Publication Trends With more than 120 peer-reviewed papers spanning 2003-2025, his recent output emphasizes deep learning (U-Net, CNNs), Bayesian spatiotemporal models , and generalized additive models applied to glacier recession , wildlife population monitoring , sea-level rise , and cancer genomics . These works collectively advance both methodological innovation and high-impact societal applications. Student Mentorship & Grants He has mentored 80+ undergraduates who presented at venues such as NCUR, JSM, and AMS. Seven PhD students have graduated under his supervision and now hold academic positions. He has served as PI of the NSF REU Site “Statistical Models with Applications to Geoscience” (2020-2024) and as mentor for the NSF Biomath REU Site (2015-2017). Currently, his group comprises 2 post-docs, 6 PhD, 2 Master’s, and 7 undergraduate researchers. Contact & Resources Email: nezamoddin@fit.edu Office: Crawford 335 (inside 328) Phone: (321) 674-7485 Profiles: Google Scholar , Research Website
Charles L. Bérubé is an Assistant Professor in the Department of Civil, Geological and Mining Engineering at Polytechnique Montréal since 2021. His research couples applied geophysics, mineral physics and machine learning to advance mineral exploration and resource characterisation. Education: B.Sc. in Physics, Université de Montréal Ph.D. in Mineral Engineering, Polytechnique Montréal (2018) Research Interests: Dr. Bérubé focuses on electromagnetic geophysics , induced polarization and machine-learning-assisted inversion . Key themes include: Spectral Induced Polarization (SIP) tomography and modelling Neural-network-based rock-physics inversion Mineral prospectivity mapping with variational autoencoders Quantitative mineralogy and computer vision for outcrop analysis Uncertainty quantification in geophysical imaging Publications Overview: His recent work (2022-2024) demonstrates a clear pivot toward data-driven and AI-enhanced geoscience , integrating Bayesian inversion, generative models and deep learning with traditional exploration geophysics. Earlier studies (2017-2020) concentrated on petrophysical characterisation of the world-class Canadian Malartic gold deposit and non-destructive evaluation of concrete degradation. Graduate Supervision & Funding: Dr. Bérubé has supervised one completed M.Sc. thesis (Benzetta, 2024) on graphite geoelectrics. In May 2023 he received a research grant from the Fonds de recherche du Québec as part of a campus-wide allocation exceeding CAD 1.57 million. Contact: Local B-632, Department of Civil, Geological and Mining Engineering Tel: +1 (514) 340-4711 ext. 4991 | Email: charles.berube@polymtl.ca
