Flavio Giobergia is a Researcher at the Department of Control and Computer Science (DAUIN) within Politecnico di Torino . His work spans applied artificial intelligence , with a focus on deep learning and machine learning applications. Research Interests : Machine learning under limited label availability, LLM-assisted code refactoring, subgroup performance analysis in ASR models, exoplanet atmospheric reconstruction, and predictive maintenance systems. Teaching : Course owner for Data Science and Machine Learning Lab and Large Language Models at Politecnico di Torino. Projects : Scientific head for the MAD – STANDARD BANKING project (2025–2026) and ImEDA (2023–2024), focusing on anomaly detection and model efficiency. Publications : 15+ recent works on topics including machine unlearning benchmarks, synthetic data for hallucination detection, and drift detection limitations, presented at top conferences like KDD, Interspeech, and IEEE AICT. Collaborations : Active in the SmartData@PoliTO center and co-author with Elena Baralis, Alkis Koudounas, and others.
Ajay Kalra serves as an Associate Professor of Water Resources Engineering in the Civil Engineering Department at Southern Illinois University Carbondale's College of Engineering. His office is located in Engineering Building, Room 114, where he teaches undergraduate and graduate courses including Fluid Mechanics, Open Channel Hydraulics, Water Resources Engineering, and Advanced Hydraulic Design. Dr. Kalra's research spans hydro-climatology, urban sustainability, artificial intelligence applications in water resources, drought frequency analysis, and probabilistic forecasting. His interdisciplinary work connects climate science with practical water management solutions, focusing on how large-scale climate patterns influence regional hydrology. He has developed innovative approaches using machine learning to improve streamflow forecasting and drought prediction, particularly in western U.S. river basins. His scholarly output shows consistent productivity with research trends indicating increasing focus on machine learning applications for hydrological prediction, climate change impacts on water resources, and urban flood management. Recent publications demonstrate strong integration of remote sensing data with traditional hydrological models to address water challenges in both gauged and ungauged basins. Outstanding dissertation award 2011 (UNLV) Outstanding dissertation award 2011 (UNLV-College of Engineering) Best poster award (2nd Place, UNLV-College of Engineering) GPSA merit award 2010-2011 Member Tau Beta Pi (Engineering Honor Society) Dr. Kalra actively mentors graduate students and collaborates with researchers across institutions. His professional service includes membership in the American Geophysical Union and American Society of Civil Engineers. His current research program continues to explore the connections between oceanic-atmospheric oscillations and regional hydrology while expanding into urban water sustainability challenges under changing climate conditions.
Georgios Arseniou serves as Assistant Professor and Extension Specialist in Auburn University's Department of Forestry and Wildlife Sciences within the College of Forestry, Wildlife and Environment. His statewide responsibilities span Alabama's natural resource management with emphasis on urban forestry systems. Education PhD in Forest Measurements MSC in Photogrammetry and Geoinformatics BSC in Forestry and Natural Environment Research Focus : Expertise centers on Urban Forestry methodologies including advanced Tree Risk Assessment protocols and high-precision Urban Forest Inventory systems. His work integrates Terrestrial Laser Scanning technology to quantify Ecosystem Services in metropolitan environments, advancing sustainable urban planning through geospatial analytics. Extension Role : As state-level specialist, he translates research into practical forestry applications for Alabama communities, addressing urban canopy management and ecological resilience through cooperative extension programs.
Veronica M. White is an Assistant Professor of Data Science in Health Systems Engineering at the Florida A&M University-Florida State University College of Engineering. With a Ph.D. in Industrial & Systems Engineering from the University of Wisconsin-Madison (2024), she specializes in applying operations research, analytics, and decision science to public health and safety challenges such as substance use disorder, mental health, criminal justice, and healthcare access. Ph.D., Industrial & Systems Engineering, University of Wisconsin-Madison, 2024 M.S., Industrial & Systems Engineering, University of Wisconsin-Madison, 2019 B.S., Industrial & Manufacturing Systems Engineering, Iowa State University of Science & Technology, 2017 Her research focuses on optimizing systems at the intersection of public health and criminal justice, emphasizing: Substance use disorder treatment Policing and criminal justice decision-making Community program evaluation Implementation science Recent publications highlight trends in: Crime forecasting indices and their optimization Pre-arrest diversion programs for addiction treatment Stochastic models for emergency response Policy evaluation in criminal justice reform Machine learning applications in healthcare K-12 outreach for operations research Scientific awards include: DAS/SDP Decision Analysis Practice Award Finalist (2022) INFORMS DEI Ambassador (2022-2023) IISE Future Faculty Fellows Program (2022) National Institute of Justice Fellowship (2020-2021) Her work spans collaborations with medical professionals, law enforcement, policymakers, and social scientists, driving innovations in: Substance use disorder interventions Public safety analytics Health systems engineering Community program implementation
Gotthard Meinel is a Senior Fellow at the Leibniz Institute of Ecological Urban and Regional Development (IOER) since 2023, with a distinguished career spanning over three decades in geoinformatics and spatial analysis. Previously, he served as Head of the Research Department for Spatial Information and Modeling (2009-2022) and held various leadership positions within the institute since joining in 1992. Meinel received his education at the Technical University of Dresden, graduating in Information Technology in 1981. He pursued postgraduate studies in biomathematics and earned a specialist mathematician degree between 1981-1992, culminating in his promotion (PhD equivalent) in 1987. His research focuses on geoinformatics, particularly remote sensing image processing and the automated analysis of large geospatial datasets. Meinel specializes in monitoring land-use developments and building stock through advanced spatial analysis methods. His work encompasses the development of indicators and visualization technologies for understanding settlement patterns and open space dynamics. With expertise spanning computer science, mathematics, and spatial analysis, Meinel has made significant contributions to the field of land use monitoring in Germany. Analysis of Meinel's recent publications reveals a strong focus on land use monitoring systems, spatial data infrastructure, and the integration of survey and geospatial data. His research increasingly emphasizes interdisciplinary approaches, combining urban planning, environmental science, and data science to address complex spatial challenges. Key trends include the development of comprehensive monitoring frameworks, analysis of building stock characteristics, and exploration of sustainable land use practices across Germany. Meinel has led or participated in numerous significant research projects including the Social-Spatial Research Data Infrastructure (SORA), the Research Database for Non-Residential Buildings (ENOB:DataNWG), OpenGeoEdu, and the Competence Center for Scalable Data Services and Solutions (ScaDS). These projects demonstrate his leadership in developing innovative spatial data infrastructures and analytical approaches. As project leader and principal investigator, Meinel has supervised numerous research initiatives and likely mentored students and junior researchers, though specific advisees are not documented in the provided materials. His work has significantly influenced spatial planning practices and land use monitoring methodologies in Germany. Meinel's research is closely associated with the IOER Monitor, a comprehensive spatio-temporal research data infrastructure for settlement and open space development in Germany. His team has developed sophisticated methodologies for analyzing land use change, building stock dynamics, and urban structure through the integration of topographic data, remote sensing, and statistical approaches.
Emerson Augusto Baptista serves as an Assistant Professor and Researcher at the Asian Demographic Research Institute (ADRI), which operates within the School of Sociology and Political Science at Shanghai University. His academic position places him at the intersection of demographic research and public health analysis, with a particular focus on spatial patterns in population health outcomes. Dr. Baptista's research spans multiple domains within demographic epidemiology, with particular emphasis on spatial analysis of mortality patterns, health disparities, population distribution, and migration dynamics. His work frequently employs geospatial methodologies to examine how socioeconomic development interacts with health outcomes across different geographic contexts, from small administrative areas in Brazil to national and international scales. His publication record reveals a clear trajectory of research focused on spatial epidemiology, with recent work examining disability impacts on life expectancy in Mexico, diabetes mortality patterns, and the spatial dynamics of migration in China. His studies consistently apply rigorous spatial analytical techniques to understand how geographic factors influence health outcomes across diverse populations and settings. Dr. Baptista's collaborative work spans multiple continents, reflecting his international research approach that examines health and demographic patterns in Brazil, Mexico, Japan, China, and various Asian countries. His methodological expertise in spatial analysis provides valuable insights into the geographic dimensions of public health challenges.
Eduard Gröller is a Full Professor of Visualization at the Vienna University of Technology (TU Wien), leading the Research Unit of Computer Graphics and the Visualization Group within the Institute of Visual Computing & Human-Centered Technology (VC&HCT). He holds adjunct professorships at the University of Bergen, Norway, and chairs several academic committees. His academic journey began with a PhD in 1993 from TU Wien, followed by extensive contributions to visualization research. His research focuses on visual computing, scientific visualization, and medical imaging, with applications in energy modeling, climate analysis, and molecular biology. Gröller has pioneered methods like BEMTrace for BIM-based energy models and HORA 3D for flood risk visualization. He co-authored over 300 publications, including foundational work in IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum . Gröller's awards include the IEEE VGTC Technical Achievement Award (2019), Eurographics 2015 Outstanding Technical Contributions Award, and Fellow of the Eurographics Association (2009). He actively contributes to conferences like EuroVis and IEEE Visualization as program chair and reviewer. His educational efforts span courses in visual computing, graphics, and data analysis, with a focus on immersive tools like ImNDT for material data exploration. Current projects include Climate-Sensitive Adaptive Planning for Resilient Cities, Visual Analytics in Radiation Therapy, and scalable web-based visualization techniques. He leads teams in VRVis, a research center for applied visualization, and collaborates internationally on medical imaging and environmental data challenges.
Seif Haridi is a Professor at KTH Royal Institute of Technology in Stockholm, Sweden, specializing in parallel and distributed computing systems. He holds dual roles as Chair-Professor of Computer Systems and Chief Scientific Advisor at RISE SICS. His research integrates systems engineering with theoretical foundations, focusing on programming systems, distributed computing, and big data technologies. Key contributions include co-designing SICStus Prolog, the Mozart Programming System, and Apache Flink, as well as leading the development of HOPS, a European big data platform awarded the IEEE Scale Prize 2017. He has led major EU projects like EIT-Digital’s cloud computing initiative and co-founded startups such as LogicalClocks and HiveStreaming. His teaching includes courses on distributed algorithms and peer-to-peer computing at KTH. Notable awards include the European Data Science Technology Innovation 2019. His work spans systems like HOPS, Flink, and Kompics, emphasizing scalability and robustness in distributed environments. Current projects include CDA (Continuous Deep Analytics) and ExtremeEarth for geospatial data analysis. Research interests include distributed algorithms, consensus protocols, and cloud-native systems. His lab’s contributions to scalable storage (e.g., HopsFS) and stream processing (Apache Flink) highlight his impact on both academia and industry.
Ge Sun is an Adjunct Professor in the Department of Forestry and Environmental Resources at North Carolina State University, affiliated with the USDA. His expertise focuses on forest hydrology and global change, with research emphasizing ecosystem responses to climate variability, water-carbon interactions, and wetland degradation. Sun’s work integrates remote sensing, ecohydrological modeling, and field data to address critical environmental challenges such as water resource management, carbon sequestration, and forest resilience under global change. His research spans diverse ecosystems including southeastern US forests, Himalayan watersheds, and coastal wetlands, with a particular emphasis on quantifying hydrological processes, methane emissions, and the impacts of urbanization/afforestation on water and carbon cycles. Sun collaborates with interdisciplinary teams to develop decision-support tools for climate-smart forestry and sustainable water management. Key contributions include modeling inter-basin water transfers, evaluating forest restoration benefits for water yield, and advancing methods for gap-filling soil respiration data in wetlands. His publications highlight the importance of structural diversity in carbon storage, the coupling of ecosystem productivity and evapotranspiration, and the vulnerability of coastal wetlands to sea-level rise. Awards and recognitions are unspecified, though his extensive publication record and USDA affiliation suggest active engagement in federal research initiatives. Sun’s advising and grants focus on ecohydrological modeling, with projects supported by agencies like the USDA Forest Service and NOAA. He leads efforts in the Center for Geospatial Analytics and collaborates with experimental forests such as Coweeta and the Southern Appalachian Mountains.
Vanessa Streifeneder is a Researcher at the University of Salzburg , affiliated with the Faculty of Digital and Analytical Sciences and the Department of Geoinformatics - Z_GIS . Her work combines remote sensing and machine learning to address natural hazards and climate change challenges. Research Interests : Remote Sensing, Machine Learning, Natural Hazards, Climate Change Projects : SpaDiFloVur, ReHIKE, ROGER, HOT Streifeneder's recent publications focus on glacier dynamics , rock glacier mapping , and climate impact monitoring , utilizing Earth observation and deep learning . Her work also includes agricultural sustainability and alpine infrastructure analysis . Contact: vanessa.streifeneder1@plus.ac.at
Dr. Kate Bishop is an Associate Professor at the School of Built Environment, UNSW Sydney . With expertise in environment-behaviour studies, she specializes in designing urban spaces that foster connections between children, youth, and their surroundings, particularly focusing on inclusivity and accessibility. Education: Doctor of Philosophy, University of Sydney Bachelor of Visual Arts, Sydney College of the Arts Bachelor of Arts, University of Sydney Research Focus: Smart social spaces and street furniture Child and youth-friendly urban design Participatory methodologies with young people Environmental psychology applications Climate-resilient urban planning Her work bridges smart city technologies with social well-being, exemplified by projects like the ChillOUT Hubs (winning multiple awards). She has led interdisciplinary teams on grants exceeding $4 million AUD, with industry recognition from the World Bank and Wall Street Journal. Awards & Grants : Over $4 million in research funding since 2011 2024 NSW Planning Excellence Award for Smart Regional Spaces 2023 National Landscape Architecture Award 2022 Good Design Gold Award for ChillOUT Tree She supervises research on children's place attachment, cultural representations in urban design, and agency development through environmental interactions. Her leadership roles include co-chairing international research networks and directing Landscape Architecture programs at UNSW.
Pascal Hitzler is the University Distinguished Professor and endowed Lloyd T. Smith Creativity in Engineering Chair at Kansas State University's Department of Computer Science within the Carl R. Ice College of Engineering. He serves as Director of the Center for Artificial Intelligence and Data Science (CAIDS) and Director (Research) of the Institute for Digital Agriculture and Advanced Analytics (ID3A). Previously, he held roles at Wright State University, including NCR Distinguished Professor and Director of Data Science. His academic journey includes a PhD in Mathematics from University College Cork (2001) and a Diplom in Mathematics from the University of Tübingen (1998). Affiliations: Kansas State University (2020–present), Wright State University (2009–2020), University of Karlsruhe (2004–2009), TU Dresden (2001–2004). Education: PhD in Mathematics (2001, UCC Cork), Diplom in Mathematics (1998, Tübingen). His research focuses on neuro-symbolic AI, semantic web technologies, knowledge graphs, and ontology modeling. Key contributions include founding editorships of the Neurosymbolic Artificial Intelligence and Semantic Web journals, co-authoring the Foundations of Semantic Web Technologies textbook, and pioneering ontology design patterns. His work emphasizes semantic web standards like OWL and integrates explainable AI with deep learning. Recent articles explore neuro-symbolic integration, geospatial knowledge graphs (KnowWhereGraph), and explainable AI through concept induction. He has received awards such as the SWSA Ten-Year Award (2020) and is a highly cited researcher in artificial intelligence. Grants and collaborations span digital agriculture, cybersecurity (K-CaTS), and interdisciplinary initiatives like the NSF-funded Global Food Systems Datahub. His DaSe Lab develops advanced semantic technologies, with projects including the Enslaved.org hub ontology and crisis management frameworks (HIP Ontology). Labs/Teams: Director of the DaSe Lab for Data Semantics, leading projects on knowledge graphs, neuro-symbolic AI, and geospatial data integration. Collaborates with institutions like the University of Notre Dame, Jönköping University, and IOS Press.
Adam Dennett is Professor of Urban Analytics at the Bartlett Centre for Advanced Spatial Analysis (CASA), University College London. He has held roles including Head of Department (2018–2023) and Editor-in-Chief of Applied Spatial Analysis and Policy . His career spans academic leadership, research in urban systems, and adjunct roles in policy-relevant spatial analysis. Educated at Lancaster University (BSc Geography, 2001), the University of Cambridge (PGCE, 2002), and the University of Leeds (MSc Human Geography with GIS, 2005; PhD in GIS, 2010), his interdisciplinary background combines education, pedagogy, and advanced spatial analytics. Research focuses on urban sustainability, spatial interaction modelling, and energy policy. Key areas include mapping energy efficiency disparities, AI-driven urban collective intelligence, and transport equity. His work integrates demographic trends, migration patterns, and spatial data science to address challenges like net-zero transitions and urban gentrification. Publications emphasize methodological innovation in spatial analysis, with contributions to energy policy, public health geographies, and urban infrastructure design. His projects often involve cross-sector collaborations and policy application frameworks. Labs/Teams: CASA’s Urban Analytics Group and the DEMIFER migration research consortium. Current work includes digital twin applications for urban management and geospatial data platforms like Colouring London .
Benjamin Bach is a Lecturer in the School of Computer Science at the University of St Andrews, specializing in data visualization and visual analytics. His research focuses on creating interactive systems that enhance how people understand and engage with complex data through visualization. Dr. Bach's research interests span data visualization, information visualization, interactive systems, human-computer interaction, visual analytics, responsive design, and collaborative visualization. His work bridges theoretical foundations with practical applications, developing novel techniques for data exploration and communication that have implications across various domains including scientific research, education, and decision-making processes. His recent publications demonstrate a strong focus on responsive visualization design, collaborative storytelling through data, and the integration of narrative techniques with visualization. Notably, his work on 'Visualization Atlases' and 'Discursive Patinas' explores how to create more engaging and meaningful visualization experiences that support both individual exploration and group discussion. Dr. Bach's research has appeared in top-tier visualization venues including IEEE Transactions on Visualization and Computer Graphics (TVCG), demonstrating both the quality and impact of his contributions to the field. His work often involves interdisciplinary collaborations, as evidenced by his participation in projects spanning from immunology to cultural heritage. Within the visualization research community, Dr. Bach is recognized for his methodological rigor and innovative approaches to visualization design challenges, particularly in the areas of responsive design for diverse devices and facilitating collaborative engagement with visualized data.
Professor Richard Lucas holds a Sêr Cymru Research Chair in the Department of Geography and Earth Sciences at Aberystwyth University. He has previously held academic and research positions at the University of New South Wales, the Australian Federal Government, and Swansea University. His research focuses on Earth observation and ecosystem dynamics, particularly in terrestrial and coastal environments. His expertise lies in utilizing satellite remote sensing to quantify ecosystem responses to climatic and anthropogenic changes. Key research areas include forest biomass estimation, mangrove monitoring, land cover change detection, and environmental sustainability. He has developed innovative frameworks such as the Earth Observation Data for Ecosystem Monitoring (EODESM) and leads the national Living Wales project for land cover monitoring. His recent publications highlight a strong trend in using multi-source Earth observation data—especially Landsat, Sentinel, and GEDI lidar—for global and regional environmental assessments. These works span topics such as mangrove resilience under tropical cyclones, habitat mapping, soil moisture analysis, and biomass modeling, reflecting a cohesive focus on sustainable ecosystem management through advanced remote sensing. Professor Lucas leads several externally funded research projects with agencies including the European Space Agency, the Welsh Government, and the Australian Research Council. Notable initiatives include CCI-BIOMASS, EO4AgroClimate, and the Global Mangrove Watch. His datasets, such as the Australia's Mangrove Portal and Plant Biomass Library, are publicly available and widely used in the scientific community. He has contributed significantly to policy-relevant science, with research impacting coastal land use policy and supporting UN Sustainable Development Goals, particularly those related to climate action and life on land. His work has been featured in media outlets and policy documents, demonstrating broad societal impact. Professor Lucas is actively involved in international collaborations and scientific outreach, regularly presenting at workshops and conferences such as Living Coasts and Dynamics Coasts. He mentors researchers and contributes to editorial and peer-review activities, further strengthening the scientific community in Earth observation and environmental informatics.
