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Rafael J.P. SchmittView profile

Assistant Professor

• River Systems
• Hydrology
• Sustainable Water Infrastructure
• +7 more

Rafael J.P. Schmitt is an Assistant Professor at the University of California, Santa Barbara's Environmental Studies Program, focusing on river systems, sustainable water infrastructure, and the Water-Energy-Food-Ecosystem Nexus. He leverages expertise in hydrology, geomorphology, and information technology to address environmental challenges through interdisciplinary research. Previously, he led Stanford's Natural Capital Project water research program and holds a PhD in Information Technology from Politecnico di Milano. Education: Postdoctoral Fellow, Stanford University (2017-2020) PhD, Politecnico di Milano (2017) M.Sc. Environmental Engineering, ETH Zurich (2013) B.Sc. Environmental Science, ETH Zurich (2009) Research Interests: His work spans river catchment processes, sediment dynamics, hydropower sustainability, climate adaptation, and biodiversity conservation. He develops models to quantify human impacts on river networks and designs strategies for low-impact infrastructure development in global basins like the Mekong and Amazon. Publications: Recent articles (2023-2025) focus on sustainable hydropower, sediment management, climate-smart agriculture, and renewable energy integration, emphasizing tradeoff analysis and system-scale solutions for river basins worldwide. Teaching: Courses include ENV144: Rivers and ENV194WW Water Collaboratory, emphasizing river science and interdisciplinary water management. Lab: Leads the Schmitt Lab for River System Science and Sustainability (RS3), advancing models for river processes and strategic environmental planning.

Heng CaiView profile

Assistant Professor

• Geographic Information Science
• Disaster Resilience
• Socio-Environmental Sustainability
• +3 more

Dr. Heng Cai is an Assistant Professor at Texas A&M University, leading the GIScience for Resilience (GIResilience) Research Group. Her work focuses on geographic information science, disaster resilience, socio-environmental sustainability, and environmental health. She develops geospatial data mining and decision-support tools to model human-environment interactions under climate change and natural hazards. Education: Ph.D. in Environmental Science (Louisiana State University), M.S. in Geographic Information Science (Chinese Academy of Sciences), B.E. in Surveying and Mapping (China University of Geosciences). Research interests include geospatial data science, hazard modeling, and resilience assessment. Her group has pioneered studies on land loss prediction in coastal Louisiana, social media analysis for disaster response, and cyberGIS platforms like PRIME. Recent work emphasizes climate adaptation strategies and urban resilience frameworks. Publications span interdisciplinary journals like Remote Sensing , Annals of the American Association of Geographers , and International Journal of Digital Earth . She actively collaborates with NASA and disaster management agencies, securing grants for projects like HeatSMART and U-CARE. Labs/Teams: GIResilience Group (www.gis-resilience.info) focuses on innovative geospatial solutions for societal resilience. She mentors undergraduate and graduate students in GIS programming, webGIS, and geodatabase applications.

• Geodemographics
• Spatial Analysis
• Census Data Methodologies
• +3 more

Andrew Harfoot is a Senior Enterprise Fellow at GeoData Southampton, part of the University of Southampton. His work focuses on geodemographics, spatial analysis, and the application of geospatial methodologies to public health, urban planning, and socio-economic policy. He has contributed to projects involving census data frameworks, workplace zone classifications, and sustainable development goal analysis in deltaic systems. Key research projects include developing national geodemographic classifications for workplace zones and creating methodologies for maintaining census output geographies. He collaborated with the Sultanate of Oman on social indicator databases and conducted poverty mapping assessments for the FAO in Southeast Asia. His work bridges academic research with practical applications in policy and planning. Main research themes include spatial demography, geographic data infrastructure, and the integration of geospatial techniques in public health and urban systems. Recent publications emphasize synergies in SDG implementation within delta ecosystems and mobility pattern analysis through origin-destination geodemographics. Notable collaborations include work with Professors Sabu Padmadas and Craig Hutton, and contributions to projects funded by international organizations like the FAO. He maintains active involvement in GeoData Southampton's research initiatives and has advised on census methodology improvements for official statistics.

Jonathan LevyView profile

Professor

• Environmental Health
• Public Health
• Climate Change
• +5 more

Jonathan Levy is a Professor and Chair in the Department of Environmental Health at Boston University's School of Public Health and a Core Faculty member at the Institute for Global Sustainability (IGS). He holds a ScD in Environmental Health/Health Policy from the Harvard School of Public Health and a BA in Applied Mathematics from Harvard College. His research focuses on urban environmental exposure modeling, health risk assessment, and environmental justice, with emphasis on air pollution, climate change, and pandemic impacts. Key research areas include aircraft noise health effects, transportation emissions' equity implications, indoor air quality interventions, and the co-benefits of climate policies. He co-directed the interdisciplinary Center for Research on Environmental and Social Stressors in Housing (CRESSH), linking environmental epidemiology and community-engaged research. As an Associate Director of the URBAN PhD program, he emphasizes solutions-oriented graduate education. Levy has advised national committees including the EPA's Science Board and the National Academies, focusing on risk analysis and clean air policy. His work integrates geospatial tools, machine learning, and synthetic population models to address disparities in exposure to chemical and climate stressors, particularly in near-airport and environmental justice communities.

• Sustainability Transitions
• Digital Technologies
• Energy Consumption
• +4 more

Sanneke Kloppenburg is a Researcher in the Department of Environmental Policy at Wageningen University. She holds a PhD in Sociology from the University of Amsterdam (2013) and has conducted postdoctoral research at Wageningen University (2015–2018) and Maastricht University UNU-MERIT (2014–2015). Her research focuses on digital technologies’ implications for sustainability transitions in energy, mobility, and food systems. She examines platformization, blockchain, and datafication’s societal impacts, emphasizing equity and environmental governance. Key projects include the ShaRepair initiative for circular economy practices, StoRE (energy storage in households), and JustRES (social justice in renewable energy strategies). She co-leads the DigiMetis network, exploring digitalization’s societal implications in agrifood, natural resources, and circular economies. Kloppenburg teaches courses on environmental sociology, smart environments, and advanced social theory, integrating practice theory with digital sociology. Her work bridges academic and applied contexts, addressing ethical and governance challenges in emerging technologies. Recent publications explore topics like circular consumption rebound effects, digital twins in environmental governance, and blockchain applications in food systems.

Sarah MaxwellView profile

Professor

• Health Policy
• Tick-Borne Illness (Lyme Disease)
• Infectious Disease Epidemiology
• +3 more

Sarah Maxwell is an Assistant Provost and Professor at the University of Texas at Dallas (UTD), with joint appointments in Public Health, Public Policy, and Public & Nonprofit Management. She holds a PhD in Public Policy from George Mason University (2004), an M.A. in Mass Communications from the University of Denver (1994), and a B.S. in Psychology from Colorado State University (1990). Her research focuses on tick-borne diseases (especially Lyme disease), infectious disease surveillance in vulnerable populations, and public health policy. She has pioneered multi-modal surveillance methods using spatial analysis, canine serology, and patient self-reports to improve risk assessments in ecologically diverse regions like Texas. Key contributions include developing county-level data guides and educational campaigns for tick-borne diseases. Dr. Maxwell has received numerous teaching awards, including the EPPS Comet Awards (2011–2015) and recognition for multicultural education. She leads UT Dallas’ Office of Community College Relations and serves as a Faculty Affiliate at Boston University’s Laboratory for Human Neurobiology and Research Affiliate at George Mason University’s Center for Science, Technology, and Innovation Policy. Her grants include funding from the Rita & Alex Hillman Foundation and the Lyme Disease Association. She actively contributes to policy through roles such as Member of the Texas Lyme Alliance Scientific Board and collaborates with organizations like the Integrate, Communicate, Inform (ICI)-Vector-Borne Disease Working Group. Her service extends to university governance, including roles as Associate Dean of Undergraduate Education and member of over 30 committees addressing teaching, research, and student success.

J.A. (Anne) BeaulieuView profile

Associate Professor

• Knowledge Infrastructures
• Data Ethics
• Climate Change
• +3 more

Professor Anne Beaulieu is an Associate Professor and holder of the Aletta Jacobs Chair in Knowledge Infrastructures at the University of Groningen’s Campus Fryslân. She leads the Data Research Centre and teaches in programs like Energy, Environment, and Climate. Her research focuses on how data infrastructures shape knowledge production and societal futures, emphasizing ethics, sustainability, and epistemic diversity. Key roles include Director of Knowledge Infrastructures, National Coordinator for STS PhD training, and Editorial Board member for the Liveable Futures Series. She has developed initiatives like the Data Wise minor and co-founded the Groningen Energy Summer School. Her research explores climate data ethics, biodiversity conservation, and responsible innovation. Notable awards include Council of Europe recognition for academic integrity education and a 2023-2024 IAS Fellowship. She advises numerous PhD students and actively contributes to interdisciplinary projects addressing global challenges like soil health and agricultural sustainability.

• Medical Imaging
• Computer Vision
• Deep Learning
• +4 more

Dr Abdullah Nazib is a Research Fellow at Queensland University of Technology (QUT) in the Faculty of Engineering, School of Electrical Engineering & Robotics. His research focuses on applying advanced computational techniques to medical imaging challenges, particularly in cancer detection and treatment planning. His research interests include: Medical image registration and segmentation Deep learning architectures for healthcare applications 3D medical image analysis Prostate cancer detection and grading Organ segmentation for radiation therapy Radiomics-based diagnostic systems Analysis of Dr Nazib's publication history reveals a clear evolution from general computer vision research toward specialized medical applications. His recent work demonstrates significant contributions to uncertainty quantification in medical image segmentation and multimodal learning approaches for diagnostic imaging. The 2024 publications particularly highlight his focus on clinically relevant applications with immediate potential impact on cancer diagnosis and treatment planning. His collaborative research network includes strong partnerships with Dr Fookes, Dr Perrin, and other members of QUT's biomedical imaging group, reflecting an interdisciplinary approach that bridges computer science, engineering, and clinical medicine to develop practical AI solutions for healthcare challenges.

Stephen GrebbyView profile

Associate Professor

• Earth Observation
• Remote Sensing
• Natural Resources Exploration
• +4 more

Dr. Stephen Grebby is an Associate Professor in Earth Observation at the University of Nottingham's Faculty of Engineering, affiliated with the Nottingham Geospatial Institute and the GeoEnergy Research Centre (GERC). He holds a PhD in Geological Remote Sensing (2011) from the University of Leicester, following an MPhys in Physics with Space Science and an MSc in Physical Geography. Previously a Remote Sensing Geoscientist at the British Geological Survey, he transitioned to academia in 2016 as an Assistant Professor, advancing to his current rank in 2022. His research focuses on Earth Observation techniques for natural resource exploration (geoenergy, minerals), geohazard monitoring (landslides, tailings dams), and environmental applications. He develops innovative methods using InSAR, LiDAR, hyperspectral imaging, and machine learning. Recent projects include assessing land degradation in the Loess Plateau and monitoring oil spill impacts in Nigeria. He also applies remote sensing to food quality evaluation through sensor technologies. Dr. Grebby’s publications span 20+ years, addressing topics like landslide inventories post-earthquakes, groundwater subsidence, and satellite data analysis for disaster forensics. He collaborates internationally on geohazard mitigation and resource exploration, leveraging advanced geospatial tools. His work bridges academia and industry, contributing to sustainable resource management and environmental risk reduction.

• Geovisualization
• GeoVisual Analytics
• Geoinformation Systems
• +5 more

Prof. Doris Dransch is a Professor at the Humboldt-Universität zu Berlin's Geographical Institute within the Faculty of Mathematics and Natural Sciences. She holds dual affiliations with the Helmholtz Centre Potsdam GFZ. Her research focuses on geovisualization, geo-analytic systems, and geoinformation management. She has been actively teaching since 1988 at multiple institutions including Humboldt University, TU Berlin, and international universities like Salzburg. PhD: Dr. rer. nat. (Natural Sciences) Her work bridges theoretical cartography with applied geospatial technologies. Key areas include: Dynamic visualization frameworks for geoscientific data Interactive cartographic systems Mobile geoinformation services Multimedia GIS applications Publications span foundational concepts like action-oriented cartography and innovative approaches to spatial data representation. She has authored/co-authored books such as Computer Animation in Cartography (1997) and contributed to major encyclopedic works on geomatics. Professional roles include: National Delegate for Belmont Forum e-Infrastructure (2013–present) Member of German Disaster Management Committee (DKKV) Advisory Board Former Head of DFG's Cartography Commission (1999–2010) Her work emphasizes interdisciplinary applications of geoinformation systems across urban planning, disaster management, and environmental sciences.

• Landscape Architecture
• Landscape Urbanism
• Circular Economy
• +5 more

Cecilia Furlan is an Assistant Professor at the Institute of Landscape Architecture , part of the Department of Landscape, Water and Infrastructure at the University of Natural Resources and Life Sciences, Vienna (BOKU). She holds a joint PhD in Engineering and Urbanism from KU Leuven and IUAV Venice. Landscape Urbanism Circular Economy Urban Metabolism Spatial Research Resource Scarcity Her research focuses on systemic design approaches for circular economy transitions in urban and regional contexts, particularly through projects like ATLANTES and REPAiR . She explores material flow mapping, post-industrial landscape regeneration, and urban wasteland transformation. Recent publications examine geodesign methods for circular construction hubs, ecosystem services in urban cemeteries, and spatial parameters for sustainable development. She contributes to international discourse through presentations at institutions in Austria, Belgium, Italy, Netherlands, and South Africa. 2020: Knowledge Frontiers Symposium grant 2019: EUROPAN 15 Runner-Up 2018: Premio Giovanni Ferraro PhD award 2014: Lisbon Open Room Competition honorable mention As a project leader for initiatives like Reindustrialisation Following the Brownfield Principle , she combines academic research with practical applications. She participates in peer-review activities for journals like Sustainability and Landscape Research , and organizes educational workshops on circular design.

• Information Visualization
• Narrative Visualization
• Data Storytelling
• +3 more

Ana Figueiras is an Assistant Professor at Universidade Lusófona and a research scientist at CICANT , where she coordinates the MagLab - Magazine Media Lab , the first international lab focused on magazine studies. She received her Ph.D. in Digital Media from Universidade Nova de Lisboa (in collaboration with UT Austin) and holds a Master's in New Media and a degree in Communication Sciences from the same institution. Education Ph.D. in Digital Media, Universidade Nova de Lisboa (UT Austin Program) M.Sc. in New Media, Universidade Nova de Lisboa B.A. in Communication Sciences, Universidade Nova de Lisboa Ana's research focuses on information visualization , particularly visual storytelling , integration of narrative elements into visualization , and user performance and experience evaluation . Her work spans digital journalism , magazine studies , and spatio-temporal visualization , with recent publications analyzing interconnected journalism and data visualization in social media . Notable projects include the ReThinking Visualization initiative (2015), which explores patterns in visualization across disciplines, and her leadership in MagLab's research on magazine media. Current trends in her publications highlight interactive journalism , cross-platform storytelling , and visualization evaluation frameworks .

• Computer Science
• Machine Learning
• IoT
• +7 more

Ali Hassan is a researcher affiliated with the National University of Sciences and Technology (NUST), School of Electrical Engineering and Computer Science, Department of Computer and Software Engineering. His work spans multiple domains in computer science, engineering, and applied mathematics, focusing on areas such as machine learning, IoT, energy systems, and medical informatics. His research explores: Reinforcement learning applications for battlefield information systems IoT antenna design and performance evaluation Optimization of second-life battery systems in electric vehicles Transformers for real-time vehicle collision avoidance Image hashing techniques using visual attention models Neural network-based phasor estimation for power grids Biomedical sensor systems for non-invasive health monitoring Mathematical modeling of viral dynamics Recent publications demonstrate his emphasis on interdisciplinary approaches combining AI, signal processing, and sustainability. He has collaborated with institutions across Pakistan, France, Saudi Arabia, and the USA, with a focus on practical implementations in cybersecurity, energy optimization, and healthcare technology.

• Polar Science
• Ice Sheet Dynamics
• Geophysics
• +5 more

Robin E. Bell serves as a Lamont Research Professor at Columbia University's Lamont-Doherty Earth Observatory, affiliated with the Palisades Geophysical Institute. Her work bridges geophysics, polar science, and climate research with significant contributions to Antarctic and Greenland ice sheet studies. Her research spans ice dynamics, sea level change, and geospatial data analysis, utilizing advanced technologies including aerogeophysics and augmented reality for data visualization. Dr. Bell's research interests focus on polar science and ice sheet dynamics, particularly examining how Antarctic and Greenland ice sheets respond to climate change. Her work integrates geophysical measurements with climate modeling to understand ice-ocean interactions, subglacial hydrology, and the implications for global sea level rise. She has pioneered the use of augmented and virtual reality technologies for visualizing complex ice sheet data, enabling new insights into glacial processes. Analysis of her recent publications reveals a dual research trajectory: advancing polar geophysics through projects like Bedmap3 and IceBridge, while simultaneously developing innovative approaches to diversity and inclusion in geosciences through initiatives like INSPIRE and The Armor Project. Her work demonstrates a commitment to both scientific advancement in cryospheric studies and creating more equitable pathways in earth science education and careers. Dr. Bell leads significant research initiatives including the ROSETTA-Ice project and INSPIRE (Inventing and Integrating New Ways to Inspire Students in the Geosciences), which focuses on creating inclusive pathways for underrepresented groups in geoscience. Her work engages with coastal communities affected by sea level changes and develops educational tools to bring polar science to broader audiences. She has been instrumental in creating programs that combine field research experiences with professional development for students from diverse backgrounds. At Columbia University's Lamont-Doherty Earth Observatory, Dr. Bell works within the Palisades Geophysical Institute, contributing to one of the world's leading centers for earth science research. Her team utilizes airborne geophysical surveys, satellite data, and innovative visualization techniques to study ice sheet dynamics. She collaborates extensively with international polar research organizations and has been involved in major Antarctic and Greenland research campaigns that have significantly advanced our understanding of ice sheet behavior and its implications for global sea level.

Ganesh Neelakanta IyerView profile

Lecturer

• Software Engineering
• Agile Software Development
• Cloud Computing
• +13 more

Ganesh Neelakanta Iyer is a Lecturer in the Department of Computer Science at the School of Computing, National University of Singapore (NUS). He holds a PhD (2012) and MSc (2008) from NUS and a B.Tech. in Computer Science and Engineering from Mahatma Gandhi University, India (2004), where he ranked first. He brings over a decade of industry experience from companies like Salesforce, NXP, and Progress Software, and prior academic roles at Amrita Vishwa Vidyapeetham and IIIT-Hyderabad. His research interests span Software Engineering , Cloud/Edge Computing , Machine Learning , AI for Cultural Heritage , and Software Engineering Education . He founded the STeAdS (Software Engineering and Technological Advancements for Society) research group in 2021, focusing on technology applications in healthcare, education, and traditional arts like Kathakali and Wayang Kulit. The recent publications highlight a strong trend in AI-driven educational technologies , including LLMs for curriculum customization, web-based DevOps learning platforms, and agile project management tools. Another major theme is AI in cultural preservation , with works on Kathakali gesture and facial expression recognition. A third stream involves distributed systems and networking , particularly in edge computing and federated learning. Faculty Teaching Excellence Award 2024, NUS AWS Educate Cloud Faculty Ambassador (2019, 2020) Certified Kubernetes Administrator (CKA) University Topper (First Rank, 2004) NUS Postgraduate Research Scholarship (2009–2012) Dr. Iyer mentors students through UROP, FYP, Master’s, and PhD projects, and has led numerous grants and initiatives in cloud computing education and AI for societal benefit. He has delivered workshops and keynote speeches across the USA, Europe, Australia, and Asia. He actively leads the STeAdS virtual research group, fostering global collaborations. As a maestro in Kathakali, he integrates traditional art with technology, composing and staging performances while applying AI to preserve and analyze this heritage.