Find Academic Supervisors

Frank MaurerView profile

Professor

• Extended Reality (XR)
• Immersive Analytics
• Human-Computer Interaction (HCI)
• +7 more

Dr. Frank Maurer is a Professor in the Department of Computer Science at the University of Calgary, specializing in Extended Reality (XR) and Immersive Analytics. His work focuses on serious applications of XR in healthcare, energy, and engineering sectors. He leads the SEER Group, advancing cross-reality prototyping tools and digital twin technologies. Maurer holds a Diplom and a Dr. rer. nat. in Computer Science from the University of Kaiserslautern (1989 and 1993). Research areas include XR prototyping , immersive analytics , UX design for 5G-XR , and healthcare applications like pre-surgical epilepsy evaluations. He collaborates on strategic initiatives such as Brain/Mental Health and Energy Innovations. Recent work explores hydrogen pipeline monitoring, seismic data analysis (Siera tool), and generative AI integration in XR. Publications emphasize technical challenges in 3D medical imaging, reservoir engineering workflows, and cross-reality application testing. Maurer teaches Research Methods in Computer Science and has pioneered tools like NiwViw (immersive analytics authoring) and SpyREST (API documentation). His lab develops solutions for multi-surface environments and emergency response systems.

Gregorio IglesiasView profile

Professor

• Marine Renewable Energy
• Coastal Engineering
• Wave Energy Conversion
• +5 more

Prof. Gregorio Iglesias is a Professor of Marine Renewable Energy at University College Cork (UCC) and Honorary Professor of Coastal Engineering at the University of Plymouth. His expertise lies in Marine Renewable Energy and Coastal Engineering, with a focus on wave and tidal energy systems, offshore wind integration, and coastal protection strategies. He has secured over €12M in research funding as Principal Investigator and authored/edited key texts such as Wave and Tidal Energy (Wiley) and Ocean Energy and Coastal Protection (Springer). Education: BEng (Civil Engineering, 1992), MEng (Civil Engineering, 1993), PhD (Engineering, 2001). Research Interests: Advanced modeling of wave energy converters, floating offshore wind turbines, coastal erosion mitigation, and climate change impacts on marine energy resources. His work bridges theoretical advancements and practical applications, including coasts like the Port of Gijón (Spain) and the Shannon Estuary. Recent publications highlight climate-driven renewable energy transitions, multi-hazard coastal resilience frameworks, and techno-economic assessments of offshore systems. He chairs the IEC Standards panel for wave energy device testing and serves as Subject Editor for Energy (Elsevier) . Professional Activities: Lead of Marine Renewable Energy research at MaREI (Ireland), former Head of the COAST Engineering Group at Plymouth (2012–2018), and member of PIANC’s Universities Consortium. His work has generated 5,459 citations with an h-index of 41. Teaching: Delivers modules on Ocean Energy (NE4003/NE6005) and Hydraulics (CE3007).

• Statistical Signal Processing
• Pattern Recognition
• Machine Learning
• +5 more

Ulisses Braga-Neto is a Professor in the Department of Electrical and Computer Engineering at Texas A&M University, part of the College of Engineering. He holds a Ph.D. from The Johns Hopkins University (2002), with earlier degrees including an M.S. from the Federal University of Pernambuco (1992). His research focuses on statistical signal processing, pattern recognition, and machine learning, with applications in bioinformatics, materials informatics, and environmental modeling. He leads the TAMIDS Scientific Machine Learning Lab and has authored over 100 publications. Key research areas include physics-informed neural networks for environmental and engineering problems, error estimation in classification systems, and gene regulatory network inference. His recent work emphasizes machine learning applications in agriculture (e.g., cotton detection in corn fields using UAS), CO2 sequestration modeling, and wildfire prediction. He has contributed to foundational texts like Error Estimation for Pattern Recognition (Wiley-IEEE, 2015). Prof. Braga-Neto's interdisciplinary approach bridges computer science, engineering, and biology. His lab develops algorithms for data-poor environments, with applications in genomics, proteomics, and metagenomics. He advises graduate students through Texas A&M's ECE program, emphasizing rigorous statistical methods alongside machine learning innovation.

Takahiro YabeView profile

Assistant Professor

• Computational Social Science
• Urban Resilience
• Human Mobility
• +5 more

Dr. Takahiro Yabe is an Assistant Professor at the Department of Technology Management and Innovation (TMI) and the Center for Urban Science + Progress (CUSP) within New York University's Tandon School of Engineering. His research focuses on computational social science and network science approaches to model urban resilience against disasters, pandemics, and technological disruptions. He holds a Ph.D. from Purdue University (2021) and degrees from the University of Tokyo (BS 2015, MS 2017). Previously, he was a Postdoctoral Associate at MIT's IDSS and Media Lab under Sandy Pentland and Esteban Moro. Research interests include urban resilience, human mobility, socioeconomic networks, inequality, and computational modeling. He leads the Resilient Urban Networks (RUN) Lab, an interdisciplinary group developing data-driven tools for urban systems analysis. His work has been published in top journals like Nature Human Behaviour, PNAS, and Nature Machine Intelligence. Recent grants include NSF funding for EV charging infrastructure planning (SAI 2024) and post-disaster mobility governance (HDBE 2024). Notable awards include the NICE STEP Researchers recognition (2024). His lab collaborates with urban planners, policymakers, and global institutions to advance equitable urban resilience strategies. Current projects involve open mobility data standards, disaster recovery policy assessment, and AI-driven urban modeling. Students supervised include PhD candidates Vaidehi Raipat (urban policy), Callie Clark (mobility equity), and DongHak Lee (socioeconomic networks). The lab also hosts visiting scholars like Mavin De Silva (EV charging systems) and supports master's students in mobility analysis and disaster response.

Tania MendoView profile

Lecturer

• Marine Spatial Planning
• Small-Scale Fisheries Management
• Socio-Economic Indicators
• +3 more

Dr. Tania Mendo is a Lecturer at the University of St Andrews, School of Geography and Sustainable Development. She specializes in interdisciplinary approaches to small-scale coastal fisheries management, focusing on policy-informed research, socio-economic indicators, and marine spatial planning. Her work emphasizes equitable representation of fishers in the blue economy and employs statistical methods paired with user-friendly data visualization tools for stakeholder engagement. Current research interests include machine learning applications for decision-making, blue justice frameworks, climate change adaptation in hyper-arid regions, and El Niño impacts on food systems. Dr. Mendo leads projects such as the Digital Transition of Catch Monitoring in European Fisheries and Conserving Atlantic Biodiversity through Co-management. She collaborates internationally with organizations like Cefas and engages with communities in Peru and Scotland. Her research integrates quantitative methods with participatory approaches to address fisheries governance challenges and environmental sustainability. Grants include funding from UKRI, BBSRC, and EPSRC for initiatives like improving stock assessment technologies and assessing fishing communities' resilience during crises. Her publications highlight innovations in vessel tracking analysis, spatial distribution modeling, and socio-economic frameworks for fisheries. She advises PhD students Miguel Delos Santos and Tamsin Rigold. Mendo is affiliated with the Bell-Edwards Geographic Data Institute and contributes to UN SDGs related to life below water and sustainable communities.

Laurence C. SmithView profile

Professor

• Arctic Studies
• Hydrology
• Remote Sensing
• +3 more

Laurence C. Smith is the John Atwater and Diana Nelson University Professor of Environmental Studies at Brown University, affiliated with the Institute at Brown for Environment & Society (IBES) and the Department of Earth, Environmental and Planetary Sciences (DEEPS). Previously, he served as UCLA's Geography Department Chair and Professor. His research focuses on Arctic environments, water resources, and remote sensing, with over 150 peer-reviewed publications and $16M in NSF/NASA grants. He has contributed to IPCC reports and leads NASA's SWOT mission for global water monitoring. Key awards include the Guggenheim Fellowship (2006-07), AGU Fellow (2015), and Walter P. Kistler Book Award (2012) for *The World in 2050*. Education: PhD, Cornell University (1996) MS, Indiana University (1991) BS, University of Illinois at Urbana-Champaign (1989) Research Interests: Arctic systems, hydrology, satellite remote sensing, and climate change impacts. His work bridges natural and social sciences, addressing topics like Greenland meltwater dynamics and northern resource development. Recent projects include methane emissions from Arctic lakes and river avulsion monitoring via SWOT. Awards: Phi Beta Kappa Visiting Scholar (2020-21) AGU Fellow (2015) Walter P. Kistler Book Award (2012) Guggenheim Fellowship (2006-07) Teaching & Grants: Teaches courses on water systems and scientific writing at Brown. Secured major grants from NASA and NSF, totaling over $16M. Advises graduate students in environmental studies and geosciences. Labs/Teams: Collaborates with IBES, DEEPS, and global institutions like the World Economic Forum on Arctic development and NASA's SWOT mission. Active in interdisciplinary research networks.

Wesley J. MarreroView profile

Assistant Professor

• Machine Learning
• Inferential Statistics
• Stochastic Simulation
• +4 more

Dr. Wesley J. Marrero is an Assistant Professor of Engineering at Dartmouth College's Thayer School of Engineering. He holds core affiliations with the Health Equity and Advocacy Lab at The Dartmouth Institute for Health Policy and Clinical Practice and is a faculty affiliate in the Quantitative Biomedical Sciences Graduate Program at the Geisel School of Medicine. His research integrates operations research and statistics to address healthcare challenges in substance use disorder, cardiovascular disease, and organ transplantation, collaborating with institutions like Massachusetts General Hospital and the University of Michigan. Dr. Marrero received a B.S. in Industrial and Management Engineering from the University of Turabo (2014), an M.S. in Industrial and Operations Engineering (2017), an M.A. in Statistics (2021), and a Ph.D. in Industrial and Operations Engineering (2021) from the University of Michigan. His research focuses on stochastic simulation and optimization for decision-making in healthcare. Key areas include machine learning applications in predictive modeling, inferential statistics for medical decisions, and sequential decision-making frameworks for health policy optimization. His work emphasizes practical implementations in clinical settings and health systems. Dr. Marrero's publications demonstrate a consistent focus on healthcare optimization, with recent trends in machine learning for organ transplantation and genetic testing strategies. His articles frequently appear in high-impact journals and conference proceedings, reflecting interdisciplinary collaborations. Awards: INFORMS MIF Best Paper Award (2024) INFORMS Annual Meeting Minority Issues Forum Poster Competition Best Poster Award (2020) INFORMS Judith Liebman Award (2020) National Science Foundation Graduate Research Fellowship (2017) Michigan Student Symposium Best Poster Award (2017) Rackham Merit Fellowship (2015) He actively advises graduate and undergraduate students, with current PhD candidates in engineering and biomedical sciences. His research group has secured grants from organizations including the National Science Foundation and the American Medical Association. Dr. Marrero leads a dynamic research group focusing on healthcare decision analytics. He collaborates with medical institutions and government agencies, including the U.S. Department of Veterans Affairs, to translate research into clinical practice.

Cristian Román-PalaciosView profile

Assistant Professor

• Phylogenetics
• Biodiversity Drivers
• Paleoclimatic Reconstructions
• +7 more

Cristian Román-Palacios is an Assistant Professor in the Department of Ecology and Evolutionary Biology at the University of Arizona, where he also serves as Coordinator and Advisor for the Master of Science in Data Science (MSDS) and Master of Science in Information Systems (MSIS) programs. He is a core faculty member in Artificial Intelligence and Machine Learning, Data Management, Analysis and Visualization, and Environmental, Health and Biological Sciences. Education: PhD in Ecology and Evolutionary Biology, University of Arizona (2020) BS in Biology, Universidad del Valle, Colombia (2015) His research lies at the intersection of phylogenetics, biodiversity modeling, and machine learning, focusing on large-scale biodiversity patterns, the impacts of climate change on species survival, and the development of statistical tools for paleoclimatic reconstructions. He employs computational and data-intensive methods to explore evolutionary and ecological questions across diverse taxa. His recent publications (2024–2025) demonstrate a strong trend toward interdisciplinary research, combining computational biology, geochemistry, climate science, and open-source software development. Key themes include biodiversity informatics (e.g., Animal Culture Database), paleoclimatic modeling (e.g., clumped isotope thermometry), reproducibility in science, and tools for collaborative research (e.g., LabOps, SSARP). His work increasingly integrates data science with biological and environmental applications. Scientific Contributions: Published over 25 peer-reviewed papers, many as first author Research featured in Science News, Popular Science, CNN, USA Today Developed open-source tools: phruta , treedata.table , SSARP , LabOps Cristian advises graduate students through the infosci-msadvise@arizona.edu email and Calendly appointments. He was previously a staff researcher at UCLA’s Tripati Lab. He leads initiatives such as the Southwest Center on Resilience for Climate Change and Health and promotes inclusive, collaborative science through online toolkits and leadership ecosystems aimed at addressing climate and social inequities. His lab, the Román-Palacios Lab, and involvement with the Data Diversity Lab reflect his commitment to open, reproducible, and equitable research practices in data-intensive biology.

• Bipolar Disorder
• Psychiatry
• Mental Health Treatment
• +5 more

Gunnar Morken is a Professor and senior consultant in the Department of Mental Health at the Norwegian University of Science and Technology (NTNU), affiliated with the Faculty of Medicine and Health Sciences and St. Olavs Hospital. His research focuses on bipolar disorder, chronotherapy, psychiatric epidemiology, and clinical interventions for mental health conditions such as schizophrenia and insomnia. He collaborates on studies involving genomic analysis, environmental factors (e.g., light exposure, UV radiation), and treatment efficacy evaluations. Key research areas include genomic insights into bipolar disorder, the role of circadian rhythms in mental health, and clinical trials assessing therapies like cognitive-behavioral therapy (CBT) for insomnia and exercise interventions for schizophrenia. His work spans both basic science (e.g., genetic studies) and translational research (e.g., hospital lighting design to improve sleep). Publications highlight his contributions to understanding lithium response mechanisms, environmental influences on psychiatric disorders, and the design of clinical trials in acute psychiatric care. Morken’s interdisciplinary approach integrates neuroscience, epidemiology, and clinical practice to advance mental health treatments.

• Mineralogy
• Ore Deposits
• Geosciences
• +3 more

Prof. Thomas Wagner is a Professor and Director of the Institute at RWTH Aachen University's Department of Geosciences and Geography. His research focuses on applied mineralogy, ore deposits, and spatial decision support systems (SDSS). He holds leadership roles in institute management and serves as Chair of Applied Mineralogy. His work integrates geospatial technologies with operational research to address resource management challenges. Academic Rank: Professor Institution: RWTH Aachen University Department: Department of Geosciences and Geography Research interests emphasize the application of GIS, SDSS, and optimization techniques to mineral resource evaluation and environmental modeling. Recent contributions include advancing heuristic methods in stochastic optimization and spatial decision frameworks.

• Flood Risk Management
• Climate Change Adaptation
• Disaster Risk Reduction
• +3 more

Edmund Penning-Rowsell serves as Pro Vice-Chancellor (Research) and Deputy Vice-Chancellor Academic at Middlesex University, leading institutional research strategy while maintaining an active research profile in flood risk management. His work bridges hydrological science, social policy, and economic appraisal to address complex flood and coastal challenges in the UK and globally. His research focuses on: Human dimensions of flood risk and social vulnerability Policy innovation in flood governance and insurance mechanisms Economic appraisal methods for coastal and flood risk management Climate adaptation strategies including Sponge Cities and floating architecture Transboundary cooperation and judicial conflict resolution in water management Distributional justice in flood risk reduction policies Recent publications (2020-2025) reveal an interdisciplinary trajectory emphasizing socio-technical integration, with significant work on policy experimentation in Austria, partnership models for coastal management, and data-driven approaches to flood risk assessment. His scholarship consistently connects academic research to real-world policy implementation through collaborations with government agencies and international bodies. No specific scientific awards were documented in the provided information. As senior research leadership, he oversees Middlesex University's research portfolio including Flood Hazard Research Centre initiatives, though specific student supervision details are absent from the text. His work demonstrates extensive collaboration with agencies like the Environment Agency and European Commission-funded projects. He is central to the Flood Hazard Research Centre at Middlesex University, which conducts applied research on flood risk governance through international partnerships. Current projects address data transparency for coastal resilience, innovative flood insurance models, and climate adaptation strategies across urban and rural landscapes.

Mitchel LangfordView profile

Professor

• Spatial Analysis
• Geoinformatics
• Applied Computational Geography
• +5 more

Mitchel Langford is a Professor and Co-Director of the Wales Institute of Socio-Economic Research and Data (WISERD). He holds an academic position within the Faculty of Computing, Engineering and Science, focusing on spatial analysis, geoinformatics, and computational geography. His research spans over 35 years, emphasizing geographical accessibility, dasymetric mapping, and software engineering solutions for spatial problems. Langford earned his first degree in Physical Geography and Geology, followed by a PhD in software development for palynology using FORTRAN. He has extensive teaching experience in software engineering (C#, SQL, Python) and geoinformatics (PostgreSQL/PostGIS, web mapping). His key research contributions include pioneering work in dasymetric areal interpolation and multi-modal accessibility modeling, notably the Enhanced Two-Step Floating Catchment Area (E2SFCA) method. He has published over 119 peer-reviewed articles and consulted for international organizations like CIAT. Notable awards include the 2019 Impact Awards for contributions to spatial accessibility research. Current projects include investigating accessibility to public services (transport, healthcare, childcare) using GIS and multi-modal transport networks. Langford is also involved in policy-oriented research, contributing to Welsh Senedd inquiries on banking and healthcare access. His software engineering skills enable bespoke solutions for spatial analysis, emphasizing modern languages like Python and JavaScript.

• Winter Road Maintenance
• Snow and Ice Engineering
• De-icing and Anti-icing Technologies
• +3 more

Professor Alex Klein-Paste is affiliated with NTNU's Department of Civil and Environmental Engineering, focusing on winter operations of roads and airports. His research emphasizes snow and ice engineering, anti-icing strategies, and friction dynamics. He leads the NTNU SnowLab, a specialized facility supporting education and research in snow engineering. Klein-Paste teaches courses on road planning, maintenance in cold climates, and infrastructure management. His research spans experimental studies on de-icing chemicals, snow compaction, and winter maintenance optimization. Key contributions include developing regression models for maintenance efforts and analyzing cross-country ski friction mechanics. He collaborates widely, with recent work addressing automated vehicle infrastructure needs and bicycle rolling resistance in winter conditions. Labs/Teams: Director of NTNU SnowLab, part of the roads, railways, and transport research group. His work bridges experimental engineering and real-world applications, influencing both academic and industrial sectors.

Jo Leonardi-BeeView profile

Professor

• Evidence Synthesis
• Meta-Analysis
• Systematic Reviews
• +5 more

Professor Jo Leonardi-Bee is a faculty member at the University of Nottingham within the School of Medicine . As Professor of Evidence Synthesis and Co-Director of the Nottingham Centre for Evidence-Based Healthcare (JBI Centre of Excellence), her work focuses on quantitative evidence synthesis, Cochrane reviews, and clinical guideline development. Education: BSc in Mathematics & Chemistry, Nottingham Trent University MSc in Medical Statistics, University of Leicester PhD and PGCHE, University of Nottingham Her research spans tobacco control (smoking cessation, legislation impact, maternal exposure) and dermatology (skin cancer, corticosteroid safety). She specializes in meta-analysis techniques, systematic reviews, and health policy evaluation, with over 50 peer-reviewed publications. Recent publications highlight trends in respiratory health (alcohol/smoking effects), pregnancy outcomes (smoking cessation interventions), and allergy prevention (infant dietary guidelines). She serves as Statistical Editor for the British Journal of Dermatology and former Cochrane Skin Group editor. Teaching includes postgraduate modules in systematic reviews and developing reusable learning objects for evidence-based practice. Current funded projects include maternal tobacco control initiatives, familial hypercholesterolemia management, and infant feeding guidelines with the Health Technology Assessment (HTA) program.

James StewartView profile

Professor

• Computer-assisted surgery
• Image processing
• Computer graphics
• +3 more

James Stewart is a Professor at Queen's University's School of Computing. His research focuses on biomedical computing and surgical navigation systems. Education: Ph.D. in Computer Science from Cornell University (1992) Location: Office Goodwin 732 Contact: Phone 613 533-3156 Research Interests Professor Stewart's work bridges computer graphics, image processing, and medical applications. Key areas include: Computer-assisted surgical navigation 3D medical visualization Geospatial data representation Robust geometric computation Human-computer interaction in clinical settings Medical imaging uncertainty analysis Scientific Awards Best Poster Award (2013) for 'Image-guided Osteochondral Autologous Autografting of the Ankle' Publications His publications span multiple domains including: Computer graphics algorithms Medical imaging techniques Geospatial visualization Biomedical engineering applications Surgical navigation systems Robust geometric computation