Josephine Sullivan is an Associate Professor at KTH Royal Institute of Technology, affiliated with the Division of Robotics, Perception and Learning. She is a core faculty member of Digital Futures, a cross-disciplinary research center addressing global challenges through digital technologies. Her research focuses on AI-driven environmental monitoring, disaster management, and deep learning applications in computer vision and remote sensing. She has supervised projects such as the fusion of radar and optical remote sensing for wildfire monitoring and contributes to initiatives like EO-AI4GlobalChange. Sullivan teaches advanced courses in deep learning, generative models, and machine learning at KTH, emphasizing hands-on training and research integration. Her work bridges theoretical advancements in neural networks with practical solutions for climate-related disasters, leveraging satellite imagery and time-series data. Recent projects highlight innovations in wildfire prediction datasets (Wildfirespreadts) and robust networks for disaster damage assessment (DisasterAdaptiveNet). She collaborates across disciplines at Digital Futures, contributing to labs and teams focused on AI ethics, sustainable technologies, and global change mitigation. Sullivan’s academic leadership includes roles as course examiner and responsible for multiple graduate programs in computer science and engineering.
Julien Emile-Geay is a Professor of Earth Sciences at the University of Southern California (USC), affiliated with the Dornsife College of Letters, Arts and Sciences. His research focuses on understanding climate variability on human-relevant timescales, blending data and models to explore natural and anthropogenic climate drivers. He leads initiatives such as the Last Millennium Reanalysis and the LinkedEarth project, emphasizing co-equal integration of data and models in paleoclimate studies. Education: Ph.D. Climate Dynamics, Columbia University, 2006 M.S. Dynamics of Atmospheres and Oceans, École Normale Supérieure, 2001 B.S. Earth Sciences, École Normale Supérieure, 1999 Research Interests: Climate Science, Paleoclimatology, Data Analysis, and Data Science. Specific areas include ENSO dynamics, solar-climate interactions, and low-frequency climate variability. He develops computational tools for climate reconstruction and advocates for reliable data inference in the face of misinformation. Affiliations: Fellow at the Center for Applied Mathematical Sciences and Affiliated Faculty at the Information Sciences Institute. Contributions: Pioneered frameworks like cfr and Pyleoclim for paleoclimate analysis, and co-edited global databases such as CoralHydro2k. His work bridges climate science with interdisciplinary collaboration and open-source software.
Aamir Cheema is an Associate Professor and Director of Education at the Department of Software Systems & Cybersecurity at Monash University. He co-directs the Urban Computing Lab and has held significant roles such as proceedings chair for ICDE 2019 and DASFAA 2015. His research focuses on data management, cloud/edge computing, and sustainable urban systems, with projects addressing electric vehicle integration, spatiotemporal data analytics for road safety, and smart building technologies. Education: PhD in Computer Science & Engineering (UNSW, 2011), Master of Engineering (UNSW, 2007), Bachelor of Science in Electrical Engineering (University of Engineering and Technology Lahore, 2005). Research interests include urban computing applications for sustainable transportation, smart buildings, and digital twins. Notable projects involve using big spatiotemporal data to reduce emissions, bidirectional EV charging systems, and indoor data management for emergency evacuations. Recipient of major awards including the ARC Future Fellowship (2018) and Victorian Young Tall Poppy Science Award (2019). Active in academic service roles such as Associate Editor of IEEE TKDE and conference organization (ADC 2015-2016 co-chair). Current projects include Electric vehicles for residential energy optimization (2025-2027) GenAI-driven ICT education reform (2025) Blockchain for peer-to-peer energy trading (2024-2025) Spatiotemporal data-driven road safety improvements (2023-2026)
Professor Ella Arensman is a Research Professor at the School of Public Health, University College Cork (UCC), and Chief Scientist at the National Suicide Research Foundation. Over 33 years, she has led multidisciplinary suicide prevention research programs with over 200 publications (h-index 53). She holds leadership roles in international organizations like the International Association for Suicide Prevention and WHO Collaborating Centre. Educational Background : While specific degree details are not listed, her roles imply advanced training in public health, epidemiology, or clinical psychology. Her career trajectory suggests doctoral-level qualifications in health sciences. Research Focus : Specializes in suicide/self-harm surveillance, intervention design, and implementation science. Key areas include: Public mental health policy and practice Epidemiological studies of risk factors Clinical decision support systems (e.g., PERMANENS project) Workplace mental health interventions (MENTUPP trial) Article Trends : Recent work emphasizes pandemic impacts on mental health, real-time suicide surveillance systems, and organizational-level interventions in workplaces. Methodological strengths include mixed-methods approaches, systematic reviews, and multi-country consortia. Awards : Recipient of the HRB Research Leaders Award (2015) for her SAMAGH clinical training program. Recognized internationally for contributions to suicide prevention frameworks. Advising & Grants : Secured funding from HRB, EU, HSE, and global bodies. Supervised numerous researchers through interdisciplinary teams. Currently leads the SAMAGH national clinical program for self-harm management in EDs. Labs/Teams : Directs research teams at UCC and collaborates globally via the WHO Collaborating Centre and Griffith University (Australia). Manages the National Self-Harm Registry Ireland database for real-time surveillance.
Elisa D'Amico is a Research Fellow at the School of International Relations, University of St Andrews. Her research focuses on the intersections of climate change, migration, conflict, and peacebuilding. She holds a PhD in Political Science from Loyola University Chicago (2023), an MA in International Studies (2018), and a BA in Political Science (2016). Her work examines climate adaptation laws, economic reintegration in post-conflict settings, and the climate-migration-urban unrest nexus. She has published in journals like Environmental Policy and Governance , and her book project, Turbulent Tides , explores climate-driven migration and conflict dynamics. Dr. D'Amico has taught at Loyola University Chicago and Iowa State University, and her technical expertise includes geospatial analysis, R programming, and Python. She is affiliated with the Private Enterprise and Peace (PEP) Lab and contributes to initiatives like the Global Peace Actors Database (GLO-PAD). Her research has been presented at conferences such as APSA, ISA, and ESOC. She also engages in policy-oriented work through reports for PeaceRep and blogs for the IOM.
Andrew P. Loehrer is an Associate Professor of Surgery and Associate Professor of The Dartmouth Institute at Dartmouth College's Geisel School of Medicine. He specializes in surgical oncology, treating cancers of the skin, breast, and gastrointestinal tract, and conducts health services research focused on marginalized populations, health policy evaluation, racial inequities, and healthcare access. Dr. Loehrer holds a BS from Loyola University Chicago, an MD from Loyola University Chicago Stritch School of Medicine, and an MPH from Harvard T.H. Chan School of Public Health. His research emphasizes reducing healthcare disparities through policy analysis, including studies on Medicaid expansion impacts, historic redlining effects on cancer outcomes, and rural healthcare access. He has published extensively on topics such as socioeconomic determinants of surgical outcomes and equity-driven healthcare reforms. Dr. Loehrer is committed to fostering inclusive healthcare environments and equitable care delivery. His work bridges clinical practice and population-level research to address systemic inequities in cancer care. Current research trends include analyzing how social policies intersect with healthcare access and outcomes in diverse populations.
Carlos Ochoa is a Researcher affiliated with the Institute of Global Health at the University of Geneva, Switzerland. He holds a PhD in Global Health (2022) and has worked extensively in projects such as SNAKE-BYTE and AccessMod. His academic background includes a Master’s in Biostatistics (University of Zurich, 2015), a Bachelor’s with Honours in Ecology and Biodiversity (Victoria University of Wellington, 2004), and a Bachelor’s in Biology (University of Antioquia, Colombia, 2000). His research focuses on snakebite epidemiology, geospatial analysis, and One Health approaches to assess health risks and healthcare accessibility in regions like Nepal and Cameroon. Key projects include high-resolution geospatial studies on snakebite vulnerability and cross-sectional analyses of disease burden in human and animal populations. He combines biostatistical methods with environmental and socioeconomic data to address global health challenges. Technical expertise includes R, SAS, ArcGIS, and database management systems. Languages: Spanish (native), English (excellent), German (very good), French (good).
Dr. Ishi M. Keenum is an Assistant Professor in the Department of Civil, Environmental, and Geospatial Engineering at Michigan Technological University (MTU), joining in Fall 2023. Her research focuses on environmental microbiology, particularly antibiotic resistance dissemination in engineered systems, wastewater surveillance, and microbial ecology. She leads the Keenum Research Group, emphasizing data standardization for microbiome research and bioinformatic tool development. Education : PhD, Civil Engineering, Virginia Tech University MS, Environmental Engineering, Virginia Tech University BS, Environmental Engineering, University of Michigan Research Interests : Dr. Keenum’s work addresses antibiotic resistance in agricultural and wastewater systems, pathogen detection, and establishing standards for microbiome data. Her lab develops methods for comparable metagenomic analysis and promotes open-access tools like the ARGem pipeline. Key areas include wastewater-based public health surveillance and disaster-impacted water systems. Publications Overview : Her recent work includes studies on wastewater surveillance standards, antibiotic resistance in full-scale water reuse systems, and the impacts of composting on cattle manure. She has contributed to high-impact journals such as Environmental Science & Technology , Microbiome , and Environmental Microbiology . Labs & Teams : The Keenum Group at MTU combines computational, lab, and field methods to tackle environmental challenges. They prioritize reproducibility and maintain a GitHub repository for open-access tools. The lab also collaborates on international standards through initiatives like the National Microbiome Data Collaborative. Grants & Mentorship : Dr. Keenum emphasizes funding applications and student mentorship. Her group’s policies include weekly lab meetings, rigorous data documentation, and a focus on creating a diverse, inclusive environment. Undergraduates and graduate students are encouraged to pursue NSF fellowships and present at conferences.
Professor Steve Darby serves as Associate Dean for Research at the University of Southampton within the Faculty of Environmental and Life Sciences. His work centers on sediment transfer processes in fluvial systems, with key contributions to understanding river bank erosion, delta evolution, and coastal flooding mechanisms. River and coastal flooding Biogeomorphology Sediment transport dynamics Research projects like EVOFLOOD and GLOSS demonstrate his focus on integrating satellite data with physical models to assess global sediment trends and flood risk. His leadership in interdisciplinary teams spans collaborations with WorldPop , Landscape Dynamics and Ecology , and the Sustainability and Resilience Institute (SRI) . Current work examines: Climate change impacts on large river systems Anthropogenic sediment starvation effects Submarine turbidity current dynamics Compound flood modeling in coastal zones Publications highlight methodological innovations in remote sensing, computational fluid dynamics, and global hydrological modeling frameworks.
Dariusz Gutek is an active academic at the Lublin University of Technology, affiliated with the Faculty of Electrical Engineering and Computer Science and the Department of Computer Science. He is involved in teaching, research, and technological development, with a strong focus on digital innovation, accessibility, and cultural preservation. Research Interests: His work spans multiple interdisciplinary domains, including assistive technology for the visually impaired, motion acquisition and analysis, 3D digitalization of cultural heritage, universal design, and educational technology. He leads and contributes to projects that bridge computer science with societal needs, such as preserving dance traditions and creating digital twins for tactile access. Recent Research Trends: Analysis of his recent publications and projects reveals a consistent focus on applying computer science to real-world challenges in education, health, and culture. His work emphasizes motion capture, accessibility, digital preservation, and inclusive design, often leveraging 3D modeling, cloud tools, and sensor systems. Awards & Honors: No scientific awards were mentioned in the provided text. Advising and Grants: While no formal list of students or grants is available, his leadership in multiple funded projects (e.g., T1DCoach, Integrated Development Programme, scientific expeditions) suggests involvement in research mentoring and grant execution. He likely supervises students in computer science and interdisciplinary applications. Labs and Teams: He is associated with the Movement Acquisition and Analysis Laboratory at the Department of Computer Science, where motion capture and digitalization projects are conducted. He also participates in thematic groups such as the Healthy Society initiative, indicating collaborative, multidisciplinary teamwork.
Anna Monfils is a Professor in the Department of Biology at Central Michigan University (CMU), where she also serves as the Director of the CMU Herbarium (CMC) and is affiliated with the Institute for Great Lakes Research. She is a core faculty member in the College of Science and Engineering, contributing to research, teaching, and biodiversity conservation. B.S., University of Notre Dame, 1992 Ph.D., Michigan State University, 2003 Postdoc., Michigan State University, 2004-2005 Dr. Monfils' research is centered on biodiversity science , conservation biology , and plant systematics , with a particular focus on prairie fen ecosystems and endangered species such as the Poweshiek skipperling butterfly . Her work integrates methodologies from museum science , biodiversity informatics , field ecology , and molecular techniques . She investigates the origin, pattern, and maintenance of biodiversity across different scales, from micro to macro levels. Her lab is actively involved in invasive species biology , particularly studying aquatic invasive plants like starry stonewort and European frog-bit, and developing adaptive management frameworks. Her recent publications reveal a strong trend toward leveraging large datasets for conservation. Her research frequently involves species distribution modeling , habitat suitability assessment , and data management workflows for biodiversity. She is a key contributor to initiatives like the Extended Specimen Network , aiming to enhance the use of museum collections for research and education in the 21st century. Her work bridges fundamental science with direct conservation applications, particularly in the Great Lakes region. The Extended Specimen Network: A Strategy to Enhance U.S. Biodiversity Collections, Promote Research and Education Biodiversity Science and the 21st Century Workforce Life history and ecology of the endangered Poweshiek skipperling Oarisma poweshiek in Michigan prairie fens A data management workflow of biodiversity data from the field to data users Local and landscape level variables related to Poweshiek skipperling presence in Michigan, USA prairie fens Dr. Monfils leads a research lab that conducts extensive field surveys and collaborates with state and federal agencies, such as the U.S. Fish and Wildlife Service. Her research has been funded by the Great Lakes Restoration Initiative and the National Science Foundation (e.g., award DBI-1730526 for biodiversity data literacy). She teaches courses including Quantitative Biology , Plant Systematics , and Wetland Plants . While specific advisees are not listed, her leadership of a research lab and graduate scholarships indicates an active role in mentoring students. Her lab and research are deeply integrated with the CMU Herbarium (CMC) and the Institute for Great Lakes Research , which serve as central hubs for her biodiversity data collection, curation, and collaborative projects.
Øyvind Hanssen is an Associate Professor at the Department of Computer Science, UiT The Arctic University of Norway. His work focuses on digitalization, IT professionalism, database systems, and technology's societal impact. He teaches courses like INF1800 (Digitalisation and IT-professionality) and contributes to projects such as TechWatch and the Open Distributed Systems (ODS) research group. Current Affiliations: UiT Department of Computer Science Research Interests: Education Technology, Position Tracking Systems, GIS Applications, IT Ethics, and Regional Development. His research includes optimizing GPS tracking in search and rescue operations, developing smart campus technologies, and analyzing digitalization's ethical implications. He actively engages in regional education policy debates, advocating for expanded technology education in Northern Norway. Awards and grants are not explicitly listed in the provided texts, but his involvement in collaborative projects like TechWatch highlights his role in applied research. He advises on curricula and infrastructure development, particularly in Helgeland region. Labs/Groups: Member of Open Distributed Systems (ODS) group and TechWatch initiative.
Matej Durcik is a researcher at the University of Arizona's Department of Hydrology and Water Resources, affiliated with Biosphere 2 and the Critical Zone Observatory initiatives. He holds advanced degrees in information sciences (University of Pittsburgh) and nuclear physics (Comenius University, Slovakia). His career spans over three decades, encompassing roles at institutions including the Hydrologic Synthesis Project, SAHRA center, and National Metrological Centre for Radon Quantities. Education: M.S. Information Science, University of Pittsburgh Ph.D. Nuclear and Sub-Nuclear Dosimetry, Comenius University M.S. Nuclear Physics, Comenius University Research Interests: Focus areas include hydrological modeling, geospatial technologies, environmental data management, and radiation monitoring. His work integrates advanced sensors and geodatabases to study landscape evolution, water storage dynamics, and climate impacts in semi-arid regions. Key Contributions: Co-developed the Landscape Evolution Observatory (LEO) at Biosphere 2, led hydrological modeling efforts for the Colorado River Basin, and pioneered methods for distributed hydrologic parameter identification. His research spans critical zone science, streamflow forecasting systems, and environmental radiation monitoring. Projects: Catalina-Jemez Critical Zone Observatory, Multi-model Streamflow Forecasting Platform, and radiation exposure assessment in Slovak schools. His work emphasizes data-driven approaches to address water resource challenges and environmental health risks.
Cody Dunne is an Associate Professor at the Khoury College of Computer Sciences, Northeastern University, leading the Khoury Vis Lab. His research focuses on data visualization, particularly layered network visualizations and their application in domains like cybersecurity, healthcare, and digital humanities. He is renowned for contributions to algorithmic visualization techniques and human-centered evaluation methodologies. Research Interests: Data Visualization & Network Analysis Layered Graph Layout Algorithms Immersive Analytics (VR/XR) Differential Privacy Visualization Cybersecurity Visualization User-Centered Design Recent Work: Prioritizes reproducibility and open science practices, including benchmark dataset development and systematic reviews of visualization methods. Recent projects involve collaborative VR environments for group awareness and optimizing graph layout algorithms. Awards & Recognition: SIGMOD 2024 Best Paper Honorable Mention GD 2023 Best Poster Honorable Mention Advising & Collaborations: Supervises PhD students in visualization research (e.g., Sara Di Bartolomeo, David Saffo). Active in cross-disciplinary projects with Northeastern's CHI and IEEE VIS communities. Labs: Directs the Khoury Vis Lab, which develops tools like Indy Survey Tool for systematic literature reviews and visualization benchmarking.
Betsabé de la Barreda-Bautista is a Research Fellow at the University of Nottingham's School of Geography, specializing in remote sensing and environmental change. She has contributed to projects across the UK, Mexico, Sweden, and Belize, focusing on peatlands, permafrost, and sargassum monitoring. Education: PhD in Geography (University of Nottingham, 2012-2017) Masters in Geomatics (CIGA, 2009-2011) PGCert in Geomatics (CIGA, 2007-2009) BSc in Biology (Faculty of Sciences, UNAM, 1999-2006) Her research integrates satellite-based InSAR techniques for geohazard monitoring and climate resilience projects like the Leverhulme ICARUS Belize initiative. She has collaborated with institutions including the University of Leicester and Centro de Investigación en Ciencias de Información Geoespacial. Key scientific contributions include datasets for CORINE Land Cover maps and publications on coastal carbon stocks, tropical precipitation anomalies, and sargassum spectral analysis. She received a 2020 UK Space Agency grant for the SASAMS project. Scientific Recognition: Candidato a Investigador Nacional, Consejo Nacional de Ciencia y Tecnología (2021)
