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Anna-Sonia KauView profile

Researcher

• Wastewater Treatment
• Water Management
• Environmental Engineering
• +3 more

Anna-Sonia Kau serves as a Research Assistant at the Chair of Urban Water Management at the Technical University of Munich (TUM), working within the "Further water treatment" research group since 2021. Her position is based in Garching at Am Coulombwall 3, where she contributes to advanced water management research initiatives. Her educational background includes a Master of Science in Environmental Engineering from RWTH Aachen University (2021), preceded by a Bachelor of Science in the same field (2018). Her academic journey included an international experience at Kingston University London (2017) and practical work as a student assistant at RWTH Aachen's Department of Hydrology (2018-2021) and an internship at the Rosenheim Water Management Office (2019). Kau's research interests center on wastewater treatment technologies, water reuse systems, and wastewater epidemiology. Her work demonstrates particular expertise in biomarker tracking for public health surveillance, as evidenced by her publications on SARS-CoV-2 monitoring in wastewater systems. She investigates how community size affects biomarker detection and develops normalization methods for accurate epidemiological data extraction from wastewater streams. Her publication record from 2021-2025 reveals a strong focus on applying environmental engineering principles to public health challenges, particularly through wastewater-based epidemiology. Kau has contributed to developing data models like ANNA-WES for GIS-based reporting of biomarker tracking, demonstrating her interdisciplinary approach that bridges environmental science and public health informatics. As a research assistant, Kau collaborates extensively with senior researchers including Prof. Dr.-Ing. Jörg E. Drewes, Dr. Christian Wurzbacher, and other members of the Urban Water Management team at TUM. Her work contributes to the chair's broader research agenda in sustainable water management and environmental surveillance systems.

Tom HartView profile

Senior Lecturer

• Ecology
• Conservation
• Marine Ecology
• +5 more

Dr. Tom Hart is a Senior Lecturer in Conservation and Ecology at the School of Biological and Medical Sciences, Oxford Brookes University. He specializes in behavioral landscape ecology within environmental change contexts, spanning population studies, conservation genetics, and technology-driven solutions like event cameras and drones. Teaches Animal Biology and Conservation BSc courses Leads MSc modules in Conservation Ecology Develops remote monitoring systems for extreme environments His research focuses on Antarctic and sub-Antarctic marine predators, particularly penguins, using genetic analysis to map population structures and inform policy decisions on protected areas. Collaborations include Adrian Smith (Oxford), Gemma Clucas (Cornell), Heather Lynch (Stony Brook), and organizations like British Antarctic Survey and Natural England. Recent projects funded by National Geographic Society and DEFRA (totaling £452,358) aim to enhance Southern Ocean predator conservation through camera networks and address avian flu risks. His work integrates citizen science via Penguin Watch and AI-driven analysis of remote sensing data. Key publications emphasize spatio-temporal dynamics of penguin colonies, disease ecology , and climate change impacts on Southern Ocean species. Current studies explore mercury contamination, drone monitoring protocols, and adaptive evolution in penguins.

Georgios PetropoulosView profile

Assistant Professor

• Remote Sensing
• Geographic Information Systems
• Digital Cartography
• +7 more

Georgios Petropoulos is an Assistant Professor of Geoinformatics at the Department of Geography, Harokopio University of Athens, Greece, where he has been teaching since 2020. His expertise spans Earth Observation technology, Geographic Information Systems, and remote sensing applications for environmental monitoring and geohazard assessment. He has previously held academic positions at Aberystwyth University in the UK and has been involved in numerous research projects related to land surface process modeling and remote sensing. His educational background includes: PhD in Earth Observation Modelling from King's College London, University of London (2008) MSc in Remote Sensing from the intercollegiate program between University College London, King's College London, and Imperial College (2002) BSc in Natural Resources Development & Agricultural Engineering from the Agricultural University of Athens (1999) Dr. Petropoulos specializes in the application of Earth Observation technology for understanding land surface interactions and feedback processes. His research focuses on utilizing remote sensing synergistically with land surface process models to derive key state variables of the Earth's energy balance and water budget. He has extensive experience in using advanced remote sensing technology for land use/cover mapping, vegetation properties retrieval, and geohazard assessment including floods, wildfires, and frost events. His work also involves developing open-source software tools for Earth Observation and implementing comprehensive benchmarking approaches for remote sensing algorithms. Dr. Petropoulos has received numerous prestigious awards and fellowships throughout his career, including: Marie Curie Individual Fellowship (2017) Senior Fellow of the UK Higher Education Academy (2015) Marie Curie Reintegration Grant (2013) European Space Agency fellowship (2010) Excellent Associate Editor Award for journal Environmental Modelling & Software (2021) Best conference poster award at the Asian Conference on Remote Sensing (2018) As an educator, Dr. Petropoulos has taught undergraduate and postgraduate courses in cartography, geoinformatics, remote sensing, and GIS at multiple institutions including Harokopio University, Aberystwyth University, and the Agricultural University of Athens. He has secured competitive research funding from various sources including the European Commission, ESA, and national research councils. His editorial work includes serving as an editor for Elsevier's Book series in "Earth Observation" and as an editorial board member for several international journals. Dr. Petropoulos is actively involved in international research collaborations and has contributed to numerous scientific committees and working groups related to Earth Observation standards and validation approaches. His current research continues to advance methodologies for soil moisture retrieval, land surface temperature estimation, and environmental monitoring using multi-sensor remote sensing approaches.

• Econometrics
• Time Series Analysis
• Macroeconomic Forecasting
• +4 more

Mark W. Watson is the Howard Harrison and Gabrielle Snyder Beck Professor of Economics and Public Affairs at the Princeton University Department of Economics . His research focuses on macroeconomic time series analysis , with particular emphasis on dynamic factor models , inflation forecasting , and structural vector autoregression methods. Research Interests : Watson's work addresses fundamental econometric challenges in Time series modeling under structural instability Robust inference for nonstationary data Macroeconomic forecasting techniques Analysis of business cycle dynamics Cointegration and unit root testing Monetary policy and inflation relationships Publication Trends show expertise in high-dimensional forecasting , factor models , and robust statistical methods applied to macroeconomic data. His collaborative work with James H. Stock has become foundational in modern econometric practice. Technical Contributions include development of New index construction for economic indicators Software tools for cointegration analysis Replication frameworks for empirical research Available through Princeton University servers.

• Geovisualization
• Cartography
• User-Centered Design
• +5 more

Anthony Robinson is a Professor of Geography at University Park, Penn State , where he serves as Director of Online Geospatial Education Programs and Co-Director of the GeoGraphics Lab . He is also the E. Willard and Ruby S. Miller Professor in Geography and holds leadership roles in professional organizations, including Vice Chair of the ICA Commission on Geovisualization and Chair of the AAG Cartography & Mapping Specialty Group . Robinson's research focuses on designing and evaluating geovisualization tools to enhance the utility and usability of geographic information. His work spans domains such as epidemiology, crisis management, national security, and higher education , with a particular emphasis on visualizing absence in big spatial data and analyzing viral maps in social media . He has pioneered geovisual analytics systems using eye-tracking studies and map symbol standardization for emergency management. He teaches the popular MOOC 'Maps and the Geospatial Revolution' on Coursera, which has enrolled over 150,000 students globally since 2013. His publications address user-centered design , collaborative geospatial frameworks , and educational technology innovations . Robinson has led initiatives like the Inaugural Community Mapping Day and is a key figure in advancing geospatial education and research infrastructure at Penn State. Scientific Awards : E. Willard and Ruby S. Miller Professorship in Geography Leadership Roles : Director of Online Geospatial Education, Co-Director of GeoGraphics Lab, Past President of NACIS, Vice Chair of ICA Commission Research Themes : Cartographic design, geospatial cognition, social media geospatial analysis, and crisis informatics

• Hybrid Architecture
• Machine Intelligence
• Computational Analysis
• +9 more

Dr. Tasos Varoudis is an Associate Professor in Architecture and Machine Intelligence at The Bartlett School of Architecture, University College London. He specializes in hybrid architecture, computational analysis of spatial systems, and machine intelligence applications in urban design. As lead developer of the 'depthmapX' spatial network analysis software, he has been a key figure in the Space Syntax Laboratory since 2011. Current research cluster leader for MArch Urban Design RC14 Member of UCL's Urban Dynamics Laboratory (funded by £4m EPSRC grant) His research on spatial dynamics combines traditional architectural design with computational methods like agent-based modeling, machine learning, and visibility graph analysis. Recent work includes Decoding Tehran (2024) examining urban configuration, and Reversing Urban Food Deserts (2024) proposing adaptive networks for urban resilience. Teaching positions include MSc Space Syntax: Architecture and City, and MSc Architectural Computation programs. His work addresses global challenges through SDG-aligned research in: Sustainable Cities (SDG 11) Climate Action (SDG 13) Infrastructure Innovation (SDG 9) Ecosystem Preservation (SDG 15)

Roland Albert MatsouakaView profile

Associate Professor

• Causal Inference
• Biostatistics
• Clinical Trials
• +8 more

Roland Albert Matsouaka is an Associate Professor in the Department of Biostatistics and Bioinformatics at Duke University. He serves as a Faculty Statistician at the Duke Clinical Research Institute (DCRI) and holds leadership roles as Associate Chair for Diversity and Inclusion and Co-Leader of the Outcomes, Endpoints, and Estimands (O2E) program at DCRI. His work spans methodological and applied research in biostatistics, with a focus on causal inference and comparative effectiveness. Education: Ph.D. in Biostatistics (2012), M.S. in Biostatistics (2007) from Harvard University. Research Interests: Matsouaka specializes in nonparametric and semiparametric methods , causal inference , and statistical techniques for clinical trials and observational studies. His applications span cardiovascular diseases , transplant medicine , and health equity . Publication Trends: Recent work includes statistical methods for social determinants of health , hierarchical endpoints in clinical trials , and transplant eligibility models . Collaborations leverage large registries like the Get With The Guidelines (GWTG) and STS-ACC Transcatheter Valve Therapy Registry . Mentorship: He mentors students and clinical fellows across Duke programs, including UrogynCREST and REACH Equity , with a focus on health disparities and data science . Grants: Current projects include studies on anticoagulant risks in stroke patients (NIH, UT Southwestern), transplant inequities (Vanderbilt), and stroke care quality (UCLA, MGH).

Martin LindströmView profile

Professor

• Social Capital
• Public Health
• Health Policy
• +6 more

Martin Lindström is a Professor in Social Medicine and Health Policy at Lund University's Faculty of Medicine, with additional appointments at the Centre for Economic Demography and EpiHealth: Epidemiology for Health. His research spans public health, social epidemiology, and health policy, with a particular focus on social capital and its relationship to health outcomes. His research interests center on social capital as a determinant of health, examining how social participation, trust in institutions, and community engagement affect physical and mental health outcomes. Dr. Lindström investigates these relationships through both cross-sectional and longitudinal study designs, employing individual- and multilevel data analyses across various contextual levels including neighborhoods, municipalities, counties, and countries. His work addresses critical public health issues including health behaviors (tobacco smoking, physical activity, diet, alcohol), mental health, mortality patterns, healthcare access, and neighborhood safety. Analysis of his recent publications reveals a consistent focus on social determinants of health, with increasing attention to contemporary issues like pandemic impacts, AI applications in health equity assessment, and arts-based interventions for mental health. His research increasingly incorporates advanced statistical methodologies including the Analysis of Individual Heterogeneity and Discriminatory Accuracy (AIHDA) framework. Dr. Lindström has been actively involved in supervising graduate students, with documented supervision of at least eight students including Johanna Ahnquist whom he co-supervised from 2006-2011. His research has been supported by various funding sources, including participation in the Landskrona Population Study funded by The Bank of Sweden Tercentenary Foundation. His work contributes significantly to multiple UN Sustainable Development Goals, particularly those related to good health and well-being, reduced inequalities, and sustainable communities. Through the Centre for Economic Demography and EpiHealth, he collaborates with interdisciplinary teams to advance understanding of the complex relationships between social structures and population health.

• Veterinary Economics
• Animal Health Management
• Veterinary Public Health
• +4 more

Drago Nedić serves as a Full Professor in the Department of Economics and Statistics at the Faculty of Veterinary Medicine, University of Belgrade. His academic focus bridges veterinary science with economic and statistical methodologies, particularly in animal health management and veterinary business operations. Key affiliations include extensive collaboration with veterinary diagnostic laboratories across Bosnia and Herzegovina and involvement in national disease control programs. His research spans veterinary economics, animal health management, and food safety regulation. Nedić has pioneered studies on statistical applications in veterinary productivity assessment, disease control economics, and diagnostic laboratory capacity evaluation. Recent work emphasizes molecular diagnostics for bovine mastitis, emerging parasitic threats in livestock, and ICT systems for wildlife monitoring, reflecting a strategic shift toward technology-integrated veterinary public health solutions. Analysis of his publication trends reveals consistent expertise in veterinary economics since 2011, with accelerating focus on food safety regulation (2017-2018) and molecular pathogen detection (2022-2023). His work demonstrates strong regional impact across Balkan veterinary systems, particularly in Bosnia and Herzegovina's laboratory accreditation frameworks and Serbia's swine fever eradication programs. Nedić has authored three major textbooks including Economics of Veterinary Medicine (2015), Practicum in Veterinary Economics (2013), and Management of Veterinary Practice (2011), establishing foundational curricula for veterinary business education in Southeast Europe. His collaborative research spans veterinary diagnostic laboratories, wildlife conservation initiatives, and national disease control programs. Significant contributions include developing management protocols for classical swine fever eradication in Serbia and establishing accreditation standards for veterinary diagnostic facilities across Bosnia and Herzegovina.

Jacob MacdonaldView profile

Lecturer

• Urban Economics
• Environmental Economics
• Geographic Data Science
• +8 more

Dr. Jacob Macdonald is a Lecturer in GIS and Spatial Analysis at the University of Sheffield's School of Geography and Planning . His work bridges urban economics, environmental economics, and geographic data science, with a focus on leveraging spatial data to understand urban dynamics and environmental impacts. Education: PhD in Economics and Finance (Nova School of Business and Economics, 2020) MRes in Economics (Nova School of Business and Economics, 2015) BSc (Hons) in Economics and Statistics (Memorial University of Newfoundland and Labrador, 2012) His research emphasizes: Quantitative methods and spatial statistics Valuation of urban amenities and environmental services Analysis of human mobility patterns Hedonic modeling for property value dynamics Open data and science communication Recent publications explore topics such as UK retail agglomerations, urban NO2 concentration changes during lockdowns, and GIS-based environmental risk assessments. Currently, he serves as Digital Media and Regional Graphics Editor for Regional Studies, Regional Science .

Zahratu ShabrinaView profile

Senior Lecturer

• Geographic Data Science
• Urban Analytics
• Platform Urbanism
• +6 more

Dr Zahratu Shabrina is a Senior Lecturer in Spatial Data Science at the Geography Department, King's College London, School of Global Affairs, Faculty of Social Science & Public Policy. She joined King's in November 2019 after completing her PhD from the Centre for Advanced Spatial Analysis (CASA) at University College London in 2019. Dr Shabrina holds an MUP/Master in Urban Planning from the University of Southern California (2013) and a BEng from Institut Teknologi Bandung, Indonesia (2011). Her academic background as an urban planner with a focus on urban analytics informs her interdisciplinary research approach. Her research focuses on the implementation of quantitative methods to study platform urbanism, urban tourism, and housing, particularly examining disruptions from digital platforms in cities using spatial analysis methods and predictive modeling. Much of her work has centered on Airbnb impacts in various urban contexts worldwide. Her publication portfolio demonstrates expertise in spatio-temporal analysis, geographically weighted regression, entropy statistics, and gravity-spatial interaction models to analyze platform economy impacts in cities. Her research spans multiple continents, including studies in London, Brunei Darussalam, Indonesia, and China's Shenzhen-Dongguan-Huizhou region. Dr Shabrina is actively involved in the Research Centre for Urban Science and Progress (CUSP) London and the Geocomputation and Data Science Research Hub, contributing to interdisciplinary research on contemporary urban problems through data-driven approaches. She teaches multiple courses including Spatial Data Analysis, Applied Geocomputation and Spatial Analysis, Geographical Research Skills, and Geography in Action. She also organizes academic workshops, including the King's College London School of Global Affairs - University of North Carolina Curriculum in Global Studies Workshop in May 2023.

Behnaz PirzamanbeinView profile

Assistant Professor

• Bayesian Statistics
• Spatial-Temporal Modeling
• Machine Learning
• +7 more

Behnaz Pirzamanbein is an Assistant Professor at the Department of Statistics , Lund University. She also serves as a Project Manager , Researcher for MERGE: ModElling the Regional and Global Earth system, and Principal Investigator for eSSENCE: The e-Science Collaboration. Her academic roles bridge statistics with environmental, climate, and medical research. Her research focuses on spatial-temporal models , Bayesian statistics , and efficient computational methods , with applications in image analysis , artificial intelligence , and quantifying high-resolution synchrotron images . She has contributed to understanding the Baltic Sea during the Last Interglacial, Holocene land cover changes, and microstructural changes in liver disease. Recent Publications highlight her interdisciplinary work: 2025 : Morphological insights into Baltic Sea environmental conditions via foraminifera. 2025 : Deep learning for 3D microstructural analysis in fibrotic liver disease. 2025 : Holocene land cover trends in North America and vegetation-atmosphere feedbacks. 2024 : Comparative analysis of MASH in mouse models and humans using micro-CT. Scientific Awards include: Outstanding Bayesian research applied to climate science (SBSS, ASA, 2016) Honorary Mention in Statistics and the Environment (ENVR, ASA, 2016) She teaches Bayesian Methods and Data Visualization courses, and has supervised masters and doctoral students. Her work intersects with the UN Sustainable Development Goals in Probability Theory, Climate Science, Environmental Sciences, and Computational Mathematics.

Nikolaos MalamosView profile

Associate Professor

• Hydrology
• Irrigation Engineering
• Water Resources Management
• +5 more

Nikolaos Malamos serves as an Associate Professor at the Agricultural University of Athens within the School of Environment and Agricultural Engineering, specifically in the Department of Natural Resources Development & Agricultural Engineering. His academic foundation includes graduation from the Agricultural University of Athens, postgraduate studies at the National Technical University of Athens' School of Civil Engineering, and a PhD in Agricultural Sciences. His research spans critical domains of agricultural hydrology with particular emphasis on: Soil-water-plant-atmosphere relationships and water movement in soil Mathematical simulation of water resources systems Hydroinformatics and spatial analysis methodologies Irrigation engineering and drainage systems Climate-hydrology interactions including evapotranspiration modeling His recent publication trajectory reveals intensifying focus on climate-resilient water management, stochastic rainfall frameworks, and water-energy-food nexus applications, particularly within Mediterranean agricultural contexts. Scientific recognition includes his role as Associate Editor for the Hydrological Sciences Journal, the official publication of the International Association of Hydrological Sciences (IAHS). Associate Editor, Hydrological Sciences Journal (IAHS) Professor Malamos actively leads research projects addressing irrigation optimization, hydrological modeling, and water resource sustainability. His work integrates field studies with computational approaches, frequently collaborating on national infrastructure initiatives like Greece's OpenHy.net water monitoring system. Current projects emphasize climate adaptation strategies for Greek agriculture, particularly in vineyards and greenhouse systems. He directs research activities within the Agricultural Hydraulics Laboratory, focusing on practical applications of hydrological theory to agricultural water management challenges across diverse Greek landscapes.

• Remote Sensing
• Geospatial Sciences
• Environmental Science
• +3 more

Dr. Barnali Das is a Teaching Assistant Professor in the Department of Geography and Geospatial Sciences at Kansas State University. Her research focuses on remote sensing applications in coastal and agricultural systems, with particular emphasis on mangrove dynamics, coral reef habitability, and crop yield forecasting. Her work spans three interrelated fields: Coastal ecology (mangrove carbon mapping, shoreline change analysis) Agricultural monitoring (soil moisture modeling for drought early warning, biophysical vs. agro-climatic predictors for crop yields) Geospatial science (machine learning for canopy parameter retrieval, cloud computing in environmental analysis) Recent publications highlight her expertise in: Marine ecosystem assessment (Andaman Islands, Arabian Sea) Coastal zone management (Maharashtra, Panama) Data-driven agriculture solutions (Sub-Saharan Africa) Her research demonstrates a commitment to interdisciplinary environmental science through advanced geospatial technologies.

Jennifer HeadView profile

Assistant Professor

• Infectious Disease Epidemiology
• Climate-Driven Disease Dynamics
• Fungal Pathogens
• +5 more

Jennifer Head, PhD, MPH, serves as the John G. Searle Assistant Professor in the Department of Epidemiology at the University of Michigan School of Public Health. She teaches EPID601: Principles and Methods of Epidemiology (residential) and EPID674: Epidemiologic Data Analysis Using R (online). Her research focuses on climate-sensitive infectious diseases, particularly fungal pathogens like Coccidioides, Histoplasma, and Blastomyces. Education: PhD in Epidemiology (University of California, Berkeley, 2022), MPH in Global Environmental Health (Emory, 2016), BS in Chemical Engineering (Washington University in St. Louis, 2013) Research Themes: Climate variability impacts on pathogen distribution, environmental disturbance effects on human exposure, host-pathogen interactions in changing ecosystems Her work combines mathematical/statistical modeling with field research, including drone-based air sampling and longitudinal soil surveillance. Current projects include NIH-funded studies on population immunity estimation and climate-disease forecasting. She collaborates with federal agencies like CDC and EPA on actionable public health outcomes. Scientific Awards: NIH K01 grant, NIH F31 grant, R01 collaboration funding Students: Advises multiple MPH and PhD students in epidemiology and environmental health sciences She leads the Climate-Sensitive Infections Research Group , which has been featured in Science News , The Washington Post , and National Geographic . Recent media appearances include JAMA Network Open podcast and KNX Radio climate-disease interviews.