Margarita Martinez Diaz is a researcher at the Departament d'Enginyeria Civil i Ambiental, Polytechnic University of Catalonia, affiliated with the BIT - Barcelona Innovative Transportation research group. Her work focuses on sustainable mobility, autonomous vehicle platooning, and gender equity in transportation systems. Department: Civil and Environmental Engineering University: Polytechnic University of Catalonia Research Group: BIT - Barcelona Innovative Transportation Research interests include: Connected and autonomous vehicle platooning Traffic flow optimization Gender-inclusive mobility solutions Active transportation infrastructure Equitable urban planning Sustainable development policy Recent publications analyze platooning safety, lane management strategies, and gender equity in mobility. Projects include Horizon Europe initiatives and national competitive R+D grants. Scientific awards: XXI Abertis Spain Award for Sustainable Mobility Best Master's Thesis Gerecht mobil Life E.V. Berlin
Danielle Poole is an Associate Research Scientist at the Yale School of Public Health and Director of Research at the Yale Humanitarian Research Lab . She serves as an Affiliated Faculty member at the Yale Institute for Global Health and contributes to the Department of Epidemiology of Microbial Diseases . Her work spans population health, violence prevention, and geospatial analysis of conflict-related health impacts. Education: ScD in Population Health, Harvard Chan School of Public Health MPH, Brown University BA, Seattle University Poole specializes in humanitarian needs assessments , firearm injury prevention , and epidemiological methods . Her recent research includes: Quantifying medical facility damage in Ukraine and Gaza Exploring HIV prevention disruptions during conflicts Developing depression screening tools for refugees Advocating for firearm-injury prevention research funding Scientific Awards: Genocide and Atrocity Prevention Research Fellow, Simon-Skjodt Center Neukom Institute for Computational Science Postdoctoral Fellow Advising and Grants: Collaborates with multidisciplinary teams including Nathaniel Raymond, Kaveh Khoshnood, and Frederick Altice. Her work receives support from institutions like the National Academy of Sciences and international health organizations.
Michael H. Nagenborg is an Associate Professor in Philosophy specializing in the ethical dimensions of emerging technologies. His research bridges philosophy with practical applications in artificial intelligence, robotics, and geo-intelligence systems. His primary research interests include: Ethical frameworks for AI and robotics Philosophy of technology and empirical philosophy Geo-intelligence ethics and algorithmic fairness Drone data ethics and harm prevention Urban technology ethics and smart city applications Analysis of his recent publications reveals a growing focus on bridging empirical philosophy with design practices, particularly in geo-intelligence and AI ethics. His work increasingly addresses accountability, fairness, and harm prevention in technological applications, with notable contributions to algorithmic fairness through causality and drone data ethics. Dr. Nagenborg has an active research profile with 69 publications since 2004, showing increased productivity in recent years. His work demonstrates strong interdisciplinary connections between philosophy, computer science, and urban studies.
Angela Carboni is an Assistant Professor in Transportation Engineering at the Department of Environmental, Land, and Infrastructure Engineering (DIATI) of Politecnico di Torino since 2022. Holding a PhD in Energetics and a Master's in Civil Engineering - Transport Infrastructure and Systems , her work focuses on climate change impacts on transport systems , intelligent transport systems (ITS) , and gender equality in mobility . Her research spans traffic simulation (micro/macro), road safety , and freight transport optimization . With over 30 publications and participation in international conferences like TIS Roma and TRA, she explores EV charging infrastructure , transport resilience , and ADAS adoption . She contributes to journals as Guest Editor for Transportation Research Procedia and Sustainability. Carboni actively engages in educational innovation through programs like Challenge@Polito, mentoring students on sustainable mobility. Her recent L2T Certification (2023-2024) demonstrates teaching excellence. She collaborates on courses including GIS applications, climate change mitigation, and automotive logistics across Civil Engineering and Engineering and Management programs.
Dr. Reza Khanbilvardi is a Professor of Civil Engineering at The City College of New York (CCNY), CUNY. He serves as the Executive Director of the CUNY Remote Sensing of the Earth Institute and co-Executive Director of the United Nations University Hub (R-SIRUS). His leadership roles include founding and directing NOAA Cooperative Science Centers (CREST/CESSRST) from 2001-2021. He holds advanced degrees from Penn State University and has led over $100M in research grants from agencies like NOAA, NASA, and NSF. Dr. Khanbilvardi's research focuses on satellite-based remote sensing applications in hydro-climate studies, including flood modeling, climate change impacts, and water resources management. His work integrates machine learning, hydrological modeling, and geospatial technologies. Notable contributions include urban flood prediction systems for NYC, disaster resilience frameworks, and validation of snow/precipitation models. He has authored over 220 peer-reviewed publications, edited five books, and holds professional engineering licenses in NY/CT. He leads interdisciplinary initiatives like the CREST-SAFE field experiments and the UNU-Hub's socio-technical research on critical infrastructure resilience. His education initiatives include training programs for underrepresented STEM students through NOAA-funded partnerships. Labs/Teams: CUNY-CREST Institute, UNU-Hub R-SIRUS, Earth System Science & Environmental Engineering Program.
Tao Hu is an Assistant Professor in the Department of Geography at Oklahoma State University (OSU), serving since 2021. He holds a PhD (2015) and BS (2009) in Geography from Wuhan University, China. Prior to OSU, he worked as a Postdoctoral Research Fellow at Harvard University's Center for Geographic Analysis (2019–2021) and Kent State University (2016–2019). Research Focus: Leverages geospatial big data (remote sensing, social media, smartphone mobility) and GeoAI models to address health disparities, environmental health, and urban sustainability challenges. Key Contributions: Over 60 peer-reviewed articles, including 5 ESI Highly Cited Papers (top 1%). Research supported by NSF, USDA, and ESIP. His work spans FAIR workflow systems, disaster public perception analysis (e.g., Ohio train derailment), heat vulnerability modeling, and healthcare accessibility via mobility data. He emphasizes reproducible GIScience and societal impact through actionable insights. Teaching includes courses on GIS in public health, health geography, and programming for geospatial applications. His lab integrates geospatial AI with health equity, environmental justice, and smart city initiatives.
Giacomo Boracchi is a researcher at the Polytechnic University of Milan , focusing on machine learning, computer vision, and signal processing. His work spans anomaly detection, change detection in data streams, 3D imaging, and biomedical applications. Key Collaborations : Diego Carrera, Luca Magri, Cesare Alippi Industries : Embedded systems, medical imaging, environmental monitoring Recent research explores adaptive Kalman filtering for battery estimation, zero-shot anomaly detection, and explainable AI for vision-language models. Publications highlight applications in waste sorting, histological data generation, and cardiac monitoring. His technical focus includes convolutional networks, ensemble learning, and domain adaptation. Boracchi's work bridges theoretical advancements with real-world systems in fraud detection, semiconductor manufacturing, and wearable health devices.
Dr. Sudhagar Nagarajan is an Associate Professor and Associate Chair in the Department of Civil, Environmental and Geomatics Engineering at Florida Atlantic University. He directs the Advanced Geomatics Engineering Lab, focusing on non-contact infrastructure monitoring using LiDAR, drones, and multisensor systems. His research includes shoreline erosion analysis, 3D building modeling, and underwater infrastructure assessment. Projects funded by NASA, DOT, and TRB address resilience in coastal communities. He received the ASPRS Roger Hoffer Award (2018) and ESRI Best Paper Award. Articles emphasize geospatial AI, coastal change detection, and sustainable infrastructure management.
Marian Muste is an Adjunct Professor and Research Engineer in Civil and Environmental Engineering at the University of Iowa, affiliated with IIHR—Hydroscience & Engineering. He holds an MSc from Polytechnic Institute Cluj and a PhD from the University of Iowa. Research Focus: His work spans experimental hydraulics, sediment transport, flood monitoring, and cyberinfrastructure for watershed systems. He contributes to UNESCO and WMO flood-risk projects and develops innovative river-monitoring techniques using advanced sensors and modeling. Publication Trends: Recent articles emphasize river dynamics, hysteresis phenomena, AI-driven water management, and cyberinfrastructure (RIMORPHIS). His research integrates field data, satellite observations, and computational models to advance hydrological prediction and hazard mitigation. No awards listed. He mentors through research collaborations but has no listed PhD students. His work supports infrastructure resilience and environmental monitoring frameworks.
Michael Gruninger is a Professor in the Department of Mechanical and Industrial Engineering at the University of Toronto, serving as Associate Chair of Undergraduate Studies. He holds a PhD and MSc in Computer Science from the University of Toronto and a BSc in Computer Science from the University of Alberta. His research focuses on semantic integration, process modeling, and mathematical logic applications in manufacturing and enterprise engineering. He contributed to the ISO 18629 standard for Process Specification Language. Research interests include ontologies, semantic web technologies, knowledge representation, and formal methods. He leads the Semantic Technologies Laboratory, advancing theories in mereotopology, spatiotemporal ontologies, and ontology engineering. Recent work emphasizes automated spatial reasoning in robotics and standards-based ontology development. Publications span ontology validation, mereological foundations, and applied semantic technologies. His work bridges theoretical computer science with practical enterprise systems and smart city applications. No awards are explicitly listed, though his contributions to ISO standards reflect industry impact. Advising and grants: No specific students/grants detailed here. His lab focuses on semantic technologies with applications in manufacturing and urban systems. Collaborations include NIST and the Industrial Ontologies Foundry.
Professor Nehmat Houssami is a Professor of Public Health and NBCF Chair in Breast Cancer Prevention at the University of Sydney. She leads a research portfolio focused on breast cancer prevention, screening technologies, and evidence-based practices. Her work emphasizes digital breast tomosynthesis (3D mammography), MRI in high-risk groups, and systematic reviews. Education: MBBS, MPH, MEd, PhD, FAFPHM, FASBP. Affiliations: Sydney School of Public Health, NHMRC Investigator (Leader) Fellow. Research Interests: Breast cancer screening innovation, imaging technologies for early detection, and addressing health equity in screening practices. Collaborates internationally with institutions in Italy, Norway, and the US. Key Articles: Focus on AI in screening, tomosynthesis efficacy, and psychosocial impacts of screening. Over 200 peer-reviewed publications in Journal of the National Cancer Institute , BMJ , and Cancer Epidemiology . Scientific Awards: NHMRC Investigator Fellowship. Students: Supervises research on lung cancer screening barriers, breast cancer epidemiology, and digital health. Labs/Teams: Active in the Sydney School of Public Health, leading global trials like STORM and MIPA. Collaborates with the Norwegian Breast Screening Program and Cancer Research UK.
Bill Tomlinson is a Professor of Informatics and Education at the University of California, Irvine (UCI), and a researcher at the California Institute for Telecommunications and Information Technology (Calit2). His work bridges artificial intelligence, ICT for sustainability, and environmental policy, focusing on leveraging technology to address global ecological challenges. He authored *Greening through IT* (MIT Press, 2010), which examines how information technology can enable sustainable practices, and has published over 100 academic works across computing, education, and sustainability. Education: A.B. in Biology (Harvard College), M.F.A. in Experimental Animation (CalArts), and S.M./Ph.D. in Media Arts & Sciences (MIT). Professional service includes roles on the EPA’s Board of Scientific Counselors (2014–2017) and as a Sloan Research Fellow (2008). His research spans sustainable food systems (e.g., the Plant Guild Composer tool), AI ethics, and legal frameworks for technology governance. Key research interests include computational sustainability, AI’s environmental impact, and interdisciplinary approaches to ecological challenges. Recent work explores AI certification systems, biodiversity law frameworks, and educational tools for fostering systems thinking. His projects often integrate technical innovation with policy design, such as simulations modeling corporate governance reforms or climate policy. Scientific awards include the NSF CAREER Award (2007) and recognition from major media outlets (e.g., *Wall Street Journal*, BBC). His grants and collaborations emphasize real-world impact, such as designing equitable energy systems or analyzing AI’s role in environmental decision-making. Bill co-founded initiatives like *SAGE Community Coordinator* and *Collapse Informatics*, which use participatory simulations to engage communities in sustainability challenges. He teaches courses on global disruption and technology’s societal role, emphasizing ethical and ecological responsibility.
Ramesh Jain is a distinguished Professor and Founding Director of the UCI Institute for Future Health at the University of California, Irvine. He holds leadership roles across multiple institutions, including founding directorships of the Artificial Intelligence Laboratory at the University of Michigan (1987), Visual Computing Lab at UC San Diego (1995), and editorships of IEEE MultiMedia and Machine Vision and Applications journal. His research focuses on AI, computer vision, and healthcare innovation, particularly in data-driven health navigation systems and experiential computing. Education: Ph.D. in Electronics & Electrical Communications Engineering from IIT Kharagpur (1975). Research Interests: Building computing frameworks for personalized healthcare AI applications in nutrition and disease prevention Experiential computing and multimedia systems Multimodal data fusion for health monitoring Scientific Awards: ACM Distinguished Service Award (2023), ACM SIGMM Technical Achievement Award (2010), and Fellowships from ACM, IEEE, AAAS, IAPR, AAAI, and SPIE. Professional Contributions: Founded SIGMultiMedia, pioneered multimedia computing concepts like Folk Computing and Experiential Computing, and advised over 15 companies in early stages. Current projects include the Open Source Personal Health Navigator at Peng Cheng Lab, Shenzhen. Lab/Team: Leads the UCI Institute for Future Health, focusing on integrating AI and health informatics for preventive care.
Dean Rehberger is an Associate Professor in the Department of History at Michigan State University (MSU) and Director of MATRIX, MSU's digital humanities center. His research focuses on developing digital technologies for research and teaching, including semantic web, big data, digital libraries, and geospatial knowledge graphs. He leads interdisciplinary projects such as the KnowWhereGraph and the Enslaved.org hub knowledge graph, emphasizing ethical sustainability and disaster risk management frameworks. Education details are not explicitly stated in the provided text. Research interests include digital history, public history, and the application of computational methods to cultural heritage and emergency management. His work bridges geospatial analysis, ontology engineering, and humanities applications through projects like HIP Ontology and the S2 Discrete Global Grid System. Recent articles highlight advancements in knowledge graph architectures, geospatial data integration, and ethical frameworks for digital projects. Notable projects include the $1.5M Mellon Grant for the Enslaved.org database and collaboration with GLAM institutions (galleries, libraries, archives, museums). Grants: Mellon Foundation Grant (2023) for slave trade database Labs/Teams: MATRIX (digital humanities center at MSU)
Jeroen Grift is a Researcher in the Department of Earth Observation Science, specializing in geospatial methodologies for cadastral boundary delineation and agricultural monitoring. Earth Observation Remote Sensing Geographic Information Systems (GIS) Land Administration Spatial Data Analysis Geospatial Artificial Intelligence (AI) Grift's recent work focuses on creating benchmark datasets like CadastreVision and AI4SmallFarms . These resources leverage multi-resolution earth observation imagery and deep learning algorithms to address challenges in cadastral mapping and crop field delineation. His research emphasizes improving spatial resolution, accuracy, and automation in geospatial data analysis, with applications for land rights and smallholder farming systems in Southeast Asia.
