Find Academic Supervisors

• Geochemistry
• Environmental Geochemistry
• Carbon Cycling
• +5 more

Katherine Romanak is a Research Professor at the Bureau of Economic Geology, The University of Texas at Austin, specializing in geochemistry and carbon capture/storage (CCS) technologies. She pioneered the process-based soil gas monitoring approach for detecting CO2 leakage, which has become a global standard. Her work bridges scientific research and policy, with contributions to UNFCCC COPs and U.S. Class VI CCS regulations. Ph.D. in Geology (1997), UT Austin M.S. in Geology (1988), UT Arlington B.S. in Geology (1984), Southern Methodist University Her research focuses on: Geochemistry of carbon cycling in vadose zones and aquifers Development of environmental monitoring protocols for CCS sites CO2 leakage attribution and stakeholder engagement Integration of machine learning with field monitoring techniques Recent publications emphasize simplifying monitoring complexity, offshore CCS applications, and machine learning for anomaly detection. She holds two U.S. patents and collaborates globally on projects in Japan, Australia, Canada, and the U.S. Gulf Coast. Scientific awards include: 2015 BEG publication award 2017 U.S. patents for CO2 leakage detection Her team seeks partnerships with vadose zone modelers and microbiologists to advance industrial-scale monitoring systems. Romanak also co-developed UT Austin’s online CCS certification program and provides technical training for petroleum professionals transitioning to CCS roles.

Jim TørresenView profile

Professor

• Artificial Intelligence
• Robotics
• Biology-Inspired Computing
• +6 more

Jim Tørresen is a Professor of Computer Science at the Department of Informatics, University of Oslo, where he has been employed since 1999 (Associate Professor 1999-2005, Professor since 2006). He serves as group leader for the Robotics and Intelligent Systems (ROBIN) research group and is also a Principal Investigator at the Centre for Interdisciplinary Studies in Rhythm, Time and Motion (RITMO). His academic career includes visiting positions at Cornell University's Creative Machines Lab (2010-2011) and Kyoto University in Japan (1993-1994). His educational background includes a Dr.ing. (Ph.D.) in Computer Architecture from the Norwegian University of Science and Technology (1996) and an M.Sc. in Computer Architecture from the same institution (1991). Before his academic career, he worked in industry at Navia Aviation (1998-1999) and NERA Telecommunications (1996-1998). Tørresen's research spans artificial intelligence, robotics, and bio-inspired computing. His work focuses on biology-inspired algorithms, programmable logic (FPGA), robotics (simulation, prototyping, control), and human-robot interaction. He has made significant contributions to areas including evolutionary computing, reconfigurable hardware, and adaptive systems. His research often bridges theoretical computer science with practical applications in healthcare, music, and industrial settings. His recent publications demonstrate a strong focus on human-robot interaction, particularly in healthcare contexts for elderly care, as well as applications in sports science, musical robotics, and geological engineering. His work shows a consistent pattern of interdisciplinary research that combines machine learning techniques with domain-specific challenges. Tørresen has also authored a popular science book on artificial intelligence in the "what is" series by Universitetsforlaget, which discusses fundamental concepts, methods, future perspectives, and ethical aspects of AI. He has been active in academic leadership, serving as General Chair for the 22nd International Conference on Field Programmable Logic and Applications (FPL) in 2012 and the 9th Joint IEEE International Conference of Developmental Learning and Epigenetic Robotics in 2019. As group leader of ROBIN, he oversees research on intelligent systems that operate in dynamic environments requiring runtime adaptation. The group works at both fundamental and applied levels, using evolutionary algorithms for robot learning and machine learning techniques for classification and recognition tasks in various application domains.

Waldemar Celes FilhoView profile

Associate Professor

• Computer Graphics
• Scientific Visualization
• Numerical Simulation
• +5 more

Waldemar Celes Filho is an Associate Professor in the Department of Computer Science at Pontifical Catholic University of Rio de Janeiro (PUC-Rio) and serves as Director of the Tecgraf Institute/PUC-Rio. With a career spanning over three decades, he has established himself as a leading researcher in computer graphics and scientific visualization. His educational background includes a Civil Engineering degree from UFRJ (1986), a Master's in Civil Engineering from PUC-Rio (1990), a Doctorate in Computer Science from PUC-Rio (1995), and postdoctoral studies in Computer Graphics at Cornell University (1995-1997). Dr. Celes Filho's research focuses primarily on Computer Graphics with special emphasis on Scientific Visualization, Numerical Simulation, Distributed Visualization, and Real-Time Rendering. He is particularly known for his work on visualization techniques for black oil reservoir models and as a co-creator of the Lua programming language. His research has resulted in over 50 publications spanning nearly three decades, with consistent output continuing through 2025. His recent publications demonstrate a strong trend toward applying advanced visualization techniques to complex industrial problems, particularly in petroleum engineering and construction informatics. His work bridges theoretical computer graphics with practical applications in engineering domains, showing particular strength in volume rendering, CAD model visualization, and distributed rendering systems. As Director of the Tecgraf Institute, he leads research initiatives that connect academic work with industry applications, fostering collaborations that translate visualization research into practical tools. Dr. Celes Filho has mentored numerous students who have become co-authors on his publications, including Paulo Ivson, Fábio Markus Miranda, and Lucas Caracas de Figueiredo, among others. His work continues to be influential in both academic and industrial settings.

• Urban Sustainability
• Climate Action
• Urban Resilience
• +6 more

Professor Joao Porto de Albuquerque is a Professor in Urban Analytics at the University of Glasgow's School of Social and Political Sciences, serving as Deputy Director of the Urban Big Data Centre (UBDC). He holds affiliate roles at the Centre for Research & Development in Adult and Lifelong Learning (CR&DALL) and previously led the Institute for Global Sustainable Development at the University of Warwick. His interdisciplinary work bridges geography and computer science, focusing on urban sustainability, participatory data methods, and addressing global inequities through community-driven approaches. Education: PhD in Computer Science (University of Campinas, 2006), postdoctoral research at University of Hamburg (2006-2008), and prior academic roles at University of São Paulo and Heidelberg University. Research emphasizes participatory urban analytics, citizen science, and AI ethics in disaster resilience, funded by major grants (e.g., £5.5M+ as PI from ESRC, Gates Foundation). Research interests include urban resilience, climate adaptation, participatory GIS, and data equity in marginalized communities. Notable projects include the Waterproofing Data Project (flood resilience in Brazil), IDEAMAPS (deprivation mapping in Africa), and co-creation of Earth-observation AI systems for slum areas. Publications span over 120 peer-reviewed articles, focusing on spatial data analysis, participatory methods, and urban sustainability. Awards include the ESRC Impact Prize for societal contributions to flood resilience. Active in global collaborations, his work integrates social sciences with environmental and technical disciplines.

Diego PatiñoView profile

Assistant Professor

• Machine Learning
• Geometric Computer Vision
• 3D Reconstruction
• +7 more

Diego Patiño is an Assistant Professor in the Department of Computer Science and Engineering at the University of Texas at Arlington (UTA), a position he began in September 2024. He earned his Ph.D. in Computer Engineering from the National University of Colombia in 2020, following M.S. and B.S. degrees from the same institution. Prior to joining UTA, he served as a Postdoctoral Fellow at Drexel University and a Postdoctoral Researcher at the GRASP Laboratory, University of Pennsylvania. B.S. in Computer Engineering, National University of Colombia, 2010 M.S. in Computer Engineering, National University of Colombia, 2012 Ph.D. in Computer Engineering, National University of Colombia, 2020 Dr. Patiño's research centers on geometric computer vision and machine learning, with applications in robotics and 3D vision. His primary interests include 3D reconstruction, graph neural networks, symmetry detection, physics-informed machine learning, and reinforcement learning. He develops algorithms that integrate geometric priors and physical constraints into deep learning models to improve robustness and generalization in real-world robotic systems. His recent publications demonstrate a strong trend in leveraging implicit neural representations for 3D shape reconstruction, applying graph neural networks to swarm robotics, and enhancing computer vision tasks with self-supervised and physics-informed learning. Work spans high-impact venues such as IEEE RA-L, ICRA, ICPR, and MICCAI, showing a consistent focus on geometric reasoning, robotic perception, and medical imaging applications. His scientific contributions have been recognized with awards from the UTA Division of Student Affairs for exceptional dedication and positive impact (2024 and 2025). He is actively involved in securing research funding, with multiple grants under review from NSF, Air Force SBIR, and industry partners like Sony. Exceptional dedication and positive impact recognition, UTA Division of Student Affairs (December 9, 2024) Exceptional dedication and positive impact recognition, UTA Division of Student Affairs (April 30, 2025) Dr. Patiño advises and serves on committees for multiple graduate students in computer science and engineering, including doctoral and master’s candidates. He is also leading or co-leading several research grants under review, covering topics such as aerial swarm navigation, neuromorphic sensing, and industrial computer vision. He teaches graduate courses in computer vision and is involved in service roles including PhD admissions and faculty appointments committees. He is affiliated with research initiatives at UTA, including the UTARI Research Institute, where he has presented on geometric modeling and physics-informed learning. His lab focuses on developing next-generation computer vision algorithms for robotics, industrial inspection, and safety-critical systems.

Boris KausView profile

Professor

• Geodynamics
• Lithospheric Deformation
• Numerical Modeling
• +5 more

Boris Kaus is a Full Professor and Chair of Geophysics and Geodynamics at the Institute of Geosciences, Johannes Gutenberg University Mainz, Germany. His research focuses on understanding geological processes from grain scale to planetary scale using mathematical and numerical models. Funded by the German Research Foundation, European Research Council, and BMBF, his work spans lithospheric deformation, melt migration, fold-and-thrust belts, and high-performance computing applications in geosciences. His research interests center on geodynamic modeling of lithospheric processes, including subduction zones, mantle convection, and crustal deformation. Kaus develops novel numerical approaches to simulate complex geological phenomena, with emphasis on coupling between erosion, lithosphere dynamics, and mantle flow. His group creates specialized software for high-performance computing systems to tackle multi-scale geophysical problems. His scientific awards include the Paul Niggli Medal, EGU Arne Richter Award, multiple ERC grants (Starting, Proof-of-Concept, Consolidator), and the Carl Friedrich Gauss Lecturer honor. He has received recognition for editorial contributions including G-Cubed's Excellence in Refereeing award. ERC Consolidator Grant MAGMA (2018-2023) ERC Proof of Concept Grant SALTED (2016-2017) ERC Starting Grant MODEL (2010-2015) John von Neumann Excellence Project for HPC ETH Medal for Ph.D. thesis Kaus actively supervises graduate students and leads research projects funded by major European and German agencies. His group develops open-source software like GeophysicalModelGenerator.jl and maintains strong collaborations with international institutions including ETH Zürich and USC. Current projects focus on magma dynamics, lithospheric shear localization, and the development of advanced numerical methods for geodynamic simulations. The research group operates within the Geodynamics & Geophysics team at JGU Mainz, utilizing high-performance computing resources and collaborating with multiple European research initiatives including IMPRS and FORTHEM networks. Their laboratory specializes in numerical modeling of Earth systems with applications to tectonics, volcanology, and crustal evolution.

Michał Paweł MichalakView profile

Assistant Professor

• computational geometry
• machine learning in Earth sciences
• statistical methods in Earth sciences
• +2 more

Michał Paweł Michalak is an Assistant Professor at AGH University of Science and Technology in Kraków, affiliated with the Faculty of Geology, Geophysics and Environmental Protection and Department of Geoinformatics and Applied Informatics. His research spans computational geometry in geological modeling, machine learning applications in Earth sciences, statistical epidemiology, and ecclesiological dynamics. Doctoral degree from University of Silesia in Katowice Developed GeoAnomalia software suite combining C++, R, and ParaView Created unbiased risk metrics (WCSIR) for infectious disease surveillance Research focuses on: Subsurface geological modeling using combinatorial algorithms and machine learning; Spatial epidemiology emphasizing testing heterogeneity bias; Ecclesiological dynamics analyzing factional theological interactions. His 2020/37/N/ST10/02504 grant project received 'very good' evaluation for developing angular distance metrics in geological contacts. Scientific contributions include: 2025 Solid Earth paper on fault-related structure detection 2025 Frontiers in Public Health work on global pandemic risk evaluation 2023 AGH Rector award recipient Developer of open-source geological analysis tools Collaboration network includes Harvard University, Technische Universität Freiberg, and University of Texas at Austin. Currently teaching GIS modeling, optimization methods, and geoinformatics systems. Maintains a personal website with open data access.

Falguni MukherjeeView profile

Professor

• GIS
• Urban Governance
• Remote Sensing
• +3 more

Falguni Mukherjee is a tenured Professor in the Department of Environmental and Geosciences at Sam Houston State University (SHSU) and currently serves as the Associate Dean for Graduate Student Success at the Graduate and Professional School (TGPS). In her administrative role, she focuses on graduate student recruitment, retention, and engagement across campus. She also acts as the university’s faculty and staff ombudsperson, having established the ombuds office at SHSU. Her academic background includes a PhD from the University of Wisconsin-Milwaukee, an M.S. in GIS from the University of Texas at Dallas, and a Bachelor’s in Civil Engineering. Her research explores the intersection of science, society, and technology, particularly examining how technology shapes urban governance in non-Western contexts like South Asia. Central themes include the use of GIS and remote sensing in environmental studies and governance. She investigates urban local bodies’ adoption of digital tools in India, environmental impacts of urbanization, and malaria risk modeling via GIS and remote sensing. Dr. Mukherjee teaches courses such as GIS Principles and Applications, Cartography and Visualization, and GIS Project Management. Her work bridges technical GIS applications with societal implications, emphasizing interdisciplinary approaches to urban planning, e-governance, and technology’s role in public policy. Her publications highlight trends in GIS for e-governance, pandemic response technologies, and spatial analysis of environmental challenges. She advocates for inclusive GIS practices, including participatory methods and community engagement in spatial data projects.

Ajay B. LimayeView profile

Assistant Professor

• Fluvial geomorphology
• Quantitative stratigraphy
• Planetary surfaces
• +7 more

Ajay B. Limaye is an Assistant Professor in the Department of Environmental Sciences at the University of Virginia. His research spans terrestrial and planetary landscapes, focusing on fluvial geomorphology, quantitative stratigraphy, and planetary surface processes. He employs remote sensing, geospatial analysis, numerical modeling, and laboratory experiments to study river dynamics, sedimentary deposits, and climate records on Earth, Mars, and Titan. His work integrates NSF and NASA-funded projects, including the development of a Landscape Evolution Laboratory with a 7m×3m experimental basin for controlled landscape modeling. His research explores feedbacks between landslides and ecology in central Virginia, Martian deltaic deposits, and submarine channel systems. He teaches courses in geomorphology, planetary geology, and fundamental geosciences. NSF CAREER Award (2023) : "GLOW: Sequencing rivers with machine learning and bioinformatics" Keck Institute Fellowship (2010) : High-resolution stratigraphy of Mars polar deposits Recent publications analyze braided river dynamics (e.g., Brahmaputra-Jamuna River), meander bend geometry, landslide-vegetation interactions, and planetary hydrology. His experimental work on autogenic fluvial terraces and turbidity maximum zones in estuaries demonstrates interdisciplinary methodological rigor.

Ian SpoonerView profile

Professor

• Environmental Change
• Paleolimnology
• Hydrogeology
• +3 more

Dr. Ian Spooner is a Professor in the Department of Earth and Environmental Science at Acadia University, where he has worked for 31 years. His research focuses on environmental change, surface water-groundwater interactions, and contamination assessment across eastern Canada. Ph.D. in Geoscience (University of Calgary, 1994) M.Sc. in Geology (Queen's University, 1988) B.Sc. (Honours) in Geology (Queen's University, 1984) His scholarly work spans three decades, with recent publications highlighting mercury contamination in seabird soils, sediment dewatering techniques, and paleolimnological tools for pollution assessment. He has developed tidypaleo , an R package for visualizing environmental archives. Key research trends include industrial pollution impacts on coastal ecosystems, long-term contamination records in lake sediments, and geological responses to climate change. His work bridges field studies with computational methods for environmental data analysis. Distinguished Service Award (Atlantic Geoscience Society) 2020 Acadia Faculty Award for Excellence in Teaching 2022 Donald Stanley Award (Canadian Society for Civil Engineering) As Manager of the Morton Centre and coordinator of the M.Sc. Applied Geomatics program, he leads collaborative projects in Nova Scotia, Newfoundland, and British Columbia. Funding sources include NSERC grants and industry partnerships.

• Virtual Reality
• Secure Data Search
• Human-Computer Interaction
• +2 more

Jason C. Woodworth is a researcher affiliated with the University of Louisiana at Lafayette, LA, USA. His work primarily focuses on Virtual Reality (VR) and Secure Data Search technologies. Through extensive collaborations, he has explored innovative applications of VR in education, emotion tracking, and cross-reality interfaces, while contributing to methods for secure semantic search over encrypted cloud data. Research Interests: VR for attention guidance, emotion recognition in immersive environments, collaborative VR tools, and secure search architectures. Publication Trends: His recent studies emphasize Visual Cues in VR for attention management, Transformer-based Emotion Recognition , and Time-Continuous Emotion Rating systems. Collaborations: Frequent co-authorship with Christoph W. Borst and Mohsen Amini Salehi, indicating strong partnerships in VR and cybersecurity domains. Contributions: Pioneering work in Teacher-Guided Educational VR , Avatar Redirection for cross-reality communication, and privacy-preserving Secure Semantic Search frameworks.

• Artificial Intelligence
• Explainable AI (XAI)
• Green AI
• +12 more

Dr Andrew Starkey is a Reader in the School of Engineering at the University of Aberdeen, where he also completed his PhD in 2001. He holds an Honours degree in Applied Mathematics from the University of St Andrews. He is actively involved in research and currently accepting PhD students in Engineering. His work bridges academia and industry, with a focus on AI applications in engineering, bioinformatics, and geosciences. University: University of Aberdeen School: School of Engineering Academic Rank: Reader Email: a.starkey@abdn.ac.uk Phone: +44 (0)1224 272801 Dr Starkey's research centers on Explainable AI (XAI) , Green AI , and Autonomous AI , with applications in robotics, econometrics, bioinformatics, seismic data analysis, and virtual reality. He has developed novel methods for feature selection, autonomous learning, and knowledge abstraction from agent-environment interactions. His work emphasizes low computational cost and transparency in AI systems. The most recent publications reflect a strong trend in applying AI to complex real-world problems, including digital rock technology, robotic grasping, real-time event detection, and medical data analysis. His interdisciplinary research combines machine learning with domain-specific knowledge in engineering and life sciences, often resulting in practical, industry-ready solutions. Millennium Product Award John Logie Baird Award for Innovation Enterprise Fellowship from Royal Society of Edinburgh and Scottish Enterprise Dr Starkey has supervised multiple research projects and secured funding from major bodies including EPSRC, BBSRC, and industry partners. His past work on the GRANIT project led to the development of AI-based condition monitoring for ground anchorages, resulting in commercialization through BlueFlow Ltd. He has collaborated with researchers across disciplines, including Dr Alasdair MacKenzie (bioinformatics), Dr Anne Schwab (seismic analysis), and Dr David Hazlerigg (genomics). He leads research in AI-driven engineering solutions and is the CEO of BlueFlow Ltd, a spinout company commercializing AI technologies developed at the University of Aberdeen. His lab focuses on developing autonomous, explainable, and environmentally sustainable AI systems for real-world deployment.

Heather PetcovicView profile

Professor

• Geoscience Education
• Field-Based Learning
• Cognitive Development in Geology
• +3 more

Dr. Heather Petcovic is Chair and Professor in the Department of Geological and Environmental Sciences at Western Michigan University, with a joint appointment in the Mallinson Institute for Science Education. Her research bridges geoscience and education, focusing on field-based learning, cognitive development, and K-12 teacher training. Ph.D., Oregon State University (2004) M.S., Oregon State University (2000) B.A., Smith College (1995) Her research explores how field experiences shape geoscientists' cognition, integrating mixed methods to study spatial reasoning, mental models, and instructional design. She leads NSF-funded initiatives to democratize geoscience education at two-year and minority-serving institutions. Recent publications highlight her expertise in spatial thinking, virtual field experiences, and hydrogeology pedagogy. Awards include the National Association of Geoscience Teachers' Distinguished Lecturer. She mentors graduate students and contributes to geoscience education policy through roles like former associate editor for the Journal of Geoscience Education .

Boris MichelView profile

Professor

• Urban Geography
• Critical Cartography
• History of Geography
• +4 more

Boris Michel is Professor of Digital Geography at the Martin Luther University Halle-Wittenberg since 2021. His academic journey includes an Acting Professorship at the University of Bremen (2019), a Visiting Assistant Professor position at the University of British Columbia, Vancouver (2014), and research assistant roles at FAU Erlangen-Nuremberg. He completed his doctorate at the University of Münster in 2010 and achieved his Habilitation in Geography at FAU Erlangen-Nuremberg in 2017. Michel also serves as liaison lecturer of the Hans Böckler Foundation since 2013. Michel's educational background includes: Habilitation in Geography, FAU Erlangen-Nuremberg (2017) Doctorate, University of Münster (2010) His research spans three interconnected domains that reflect both historical depth and contemporary relevance in geographical scholarship. Focusing on urban geography, Michel critically examines neoliberal and post-political governance of cities, with particular attention to cities in the Global South. His work on critical cartography investigates participatory mapping practices and the theoretical challenges posed by digital transformation to cartographic knowledge production. In the history of geography, Michel explores how geography negotiated issues of visibility, representation, and visuality throughout the 20th century, with special interest in the Quantitative Revolution in German-speaking geography and its connections to current digital geography debates. Michel's scholarly contributions reveal a consistent focus on the politics of representation, whether examining contemporary digital geographies or historical developments in geographical thought. His recent publications demonstrate how historical perspectives on the Quantitative Revolution inform current discussions about AI, geodata commons, and digital infrastructures. This historical approach enables innovative connections between past geographical practices and emerging digital methodologies. Michel serves as editor for "sub\urban. zeitschrift für kritische stadtforschung" and leads several research projects including "narcotic.city," which investigates urban governance of drug cultures, and "Inclusion and Exclusion in Volunteered Geographic Information after Digital Humanitarianism," which examines geodata in crisis and conflict mapping contexts. His work consistently bridges theoretical inquiry with practical engagement, as evidenced by his contributions to critical cartography handbooks and counter-cartography initiatives like "This Is Not an Atlas." His academic leadership extends to collaborative research networks focused on the history of geography, particularly through the platform "historische-geographien.de." Michel's approach emphasizes the importance of historical context in understanding contemporary geographical challenges, creating productive dialogues between past and present geographical practices.

Kelly Best LazarView profile

Assistant Professor

• Sedimentology
• Coastal Geology
• Geoscience Education
• +5 more

Dr. Kelly Best Lazar is an Assistant Professor in the Department of Engineering and Science Education and the Department of Environmental Engineering and Earth Sciences at Clemson University. She holds a Ph.D. in Geological Sciences from The Ohio State University (2014), an M.S. in Geology from East Carolina University (2010), and a B.S. in Geology from North Carolina State University (2007). Her research spans sedimentology, coastal geology, and geoscience education, focusing on Quaternary environmental change, hurricane history reconstruction, ocean acidification, and broadening participation in STEM. Dr. Lazar also leads initiatives in virtual reality field experiences and experiential learning to enhance geoscience education. Her professional experience includes roles at Clemson since 2018, a postdoctoral fellowship (2016–2018), and prior teaching/research positions at The Ohio State University and Capital University. She is actively involved in professional organizations like the Geological Society of America and the National Association of Geoscience Teachers. Lazar’s research has produced over 40 refereed publications and conference presentations, emphasizing interdisciplinary collaboration and student-centered pedagogy. Key contributions include developing the GeoXploration mobile app and advancing VR tools for geoscience education. She has secured multiple NSF grants totaling over $3M, including leadership in projects like BASIC Needs and PROSPECT S-STEM. Her awards include the 2019 CNSF Exhibition invitation and QRM Scholar recognition (2021–2022). Lazar advises numerous graduate students, focusing on geoscience education and coastal systems. She actively promotes diversity in STEM through outreach programs and serves on university-wide committees, including the Faculty Senate and Global Engagement initiatives.