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Adrien RemundView profile

Assistant Professor

• Demography
• Mortality
• Health
• +3 more

Adrien Remund is an Assistant Professor of Population Studies at the Department of Demography, Faculty of Spatial Sciences, University of Groningen, Netherlands. His research focuses on mortality patterns, migration, historical demography, and young adult vulnerability. He holds a PhD in Demography from the University of Geneva (2015) and has held roles including part-time lecturer at the University of Geneva and postdoc researcher at the Institut national d'études démographiques (Paris). He coordinates the Master in Population Studies and teaches courses on data analysis, population projections, and migration. Remund's work emphasizes cause-of-death analysis and demographic methodology, with projects involving Swiss National Science Foundation grants and collaboration on databases like the Geneva Urban Sociodemographic Dataset. His recent studies examine migrant health disparities, infant mortality in colonial Senegal, and longevity trends in the Netherlands. He contributes to both academic journals and public discourse on topics like aging populations and migration policies. His research also includes historical demographic studies using colonial records and modern register data, bridging past and present population dynamics. Remund's interdisciplinary approach combines quantitative methods with sociological insights, addressing pressing issues such as health inequalities and demographic transitions.

Iain ParnumView profile

Research Fellow

• Marine Acoustics
• Seafloor Mapping
• Acoustic Remote Sensing
• +5 more

Dr. Iain Parnum is an Adjunct Research Fellow at Curtin University’s School of Earth and Planetary Sciences, within the Faculty of Science and Engineering. His primary research focuses on acoustic remote sensing of marine environments, including seafloor mapping, water column analysis, and marine mammal detection. He is actively involved in developing acoustic technologies for habitat characterization and has contributed to projects like the AUSSEABED national seabed mapping initiative. Research Interests: Seafloor mapping using multibeam, sidescan, and single-beam sonar systems Acoustic data processing and software development Marine mammal monitoring via passive and active acoustic techniques Seagrass and sediment property analysis through acoustic backscatter Underwater photogrammetry and novel imaging device workflows Publications Trends: His recent work emphasizes fish chorus acoustics, beaked whale presence detection, and the integration of acoustic methods with environmental variables. Key contributions include advancing underwater noise monitoring tools and improving seabed classification techniques. Affiliations: Chair of the WA Division of the Australian Acoustical Society; Federal Councillor of the Australian Acoustical Society. Technical Contributions: Developed open-source data-logging devices and calibration frameworks for marine surveys. Collaborated on projects like the Perth Canyon soundscape analysis and coral reef evolution studies in the Kimberley region.

• Geomatics
• Cultural Heritage Digitization
• 3D Modeling and Reconstruction
• +7 more

Francesca Matrone is a Fixed-term Assistant Professor in the Department of Environment, Land and Infrastructure Engineering (DIATI) at Politecnico di Torino, Italy. Her work bridges geomatics, artificial intelligence, and cultural heritage conservation, with a focus on 3D modeling, GIS, and HBIM integration for urban and historical environments. Her research interests include Geomatics, Cultural Heritage Digitization, AI in Geospatial Analysis, Drone-Based 3D Modeling, Semantic Segmentation of Point Clouds, and Smart Cities . She applies advanced technologies like UAVs, deep learning, and BIM-GIS integration to enhance the documentation, maintenance, and resilience of built heritage. The recent publications highlight a strong trend in using AI and machine learning for semantic segmentation of 3D heritage models, integration of HBIM with GIS using standards like IFC and CityGML, and drone-based photogrammetry for urban and territorial planning. These works reflect a multidisciplinary approach combining computer science, civil engineering, and digital heritage. Francesca Matrone is actively involved in research projects such as: HERITALISE (2025–2028, EU-funded): Digitization and cloud visualization of heritage buildings ACLIMO (2024–2026): Research collaboration with APAM on protected areas COGNITIO-FORT (2025–2026): Scientific Director for a project with Unione Montana Valle Stura She teaches across multiple programs: PhD : GeoAI for advanced urban analyses; Drones for 3D modeling (Main Teacher) Master’s : GIS Modeling for City and Land; Knowledge of Built Heritage under Climate Change Bachelor’s : GeoAI: Artificial Intelligence and Geospatial Data; Topography (Course Collaborator) She is a member of the Teaching Colleges for Civil and Building Engineering and Electronic, Telecommunications and Physics Engineering. She also holds a Learning to Teach (L2T) Open Badge from Politecnico di Torino, demonstrating her commitment to pedagogical excellence. Francesca is a co-inventor of the MAIN10ANCE PLATFORM , a national software patent aimed at enhancing the maintenance and conservation of historical built heritage through integrated HBIM-GIS systems.

• Climatology
• Meteorology
• Environmental Engineering
• +3 more

Dr. Krzysztof Wojciech Siwek is a senior researcher at the Institute of Earth and Environmental Sciences within the Faculty of Earth Sciences and Spatial Management at Maria Curie-Skłodowska University in Lublin, Poland. His work spans climatology, meteorology, and environmental engineering. Research Focus: Urban climate dynamics, multifractal analysis of meteorological data, and water quality in urban reservoirs Geographical Scope: Primarily Poland, with polar research in Svalbard Recent article trends reveal his expertise in: Climate change impact assessment using multifractal time series Urban thermal comfort and bioclimatic contrast studies Hydrological response to extreme meteorological events Polar climate monitoring and glacial dynamics Email: krzysztof.siwek@mail.umcs.pl

• Knowledge Production
• Innovation Diffusion
• Financial Economics
• +5 more

Dr hab. Tomasz Kijek is a Professor at the Maria Curie-Skłodowska University, affiliated with the Faculty of Economics and leading the Department of Microeconomics and Applied Economics. His research focuses on knowledge production modeling, diffusion of innovations, valuation of knowledge assets in capital markets, eco-innovations in sustainable development, technological convergence with spatial effects, and productivity measurement. He has led two major research projects funded by the National Science Centre: 'Modeling the utilization of corporate innovative capital using knowledge production functions' (Sonata 5, 2013/09/D/HS4/01139) 'The role of innovation in technological convergence processes in the European regional space' (Opus 14, 2017/27/B/HS4/00893) His work has accumulated over 300 citations in Web of Science and Scopus, with an H-index of 11 in both databases. Scientific awards include: Huygens Scholarship funded by Nuffic (Netherlands Organization for International Cooperation in Higher Education and Research) He serves on the editorial board of one JCR-indexed journal and has conducted 125 peer reviews for international journals. His expertise also extends to evaluating 50 research proposals for the National Science Centre and reviewing academic qualifications in 4 PhD and 1 habilitation proceedings.

Fernando Castedo DoradoView profile

Associate Professor

• Forest Ecology
• Environmental Science
• Biological Modeling
• +3 more

Fernando Castedo Dorado is a University Associate Professor in the Department of Engineering and Agricultural Sciences at the School of Agricultural and Forestry Engineering, University of León. He holds a PhD in Forestry Engineering from Universidade de Santiago de Compostela (2004). Academic Background : Technical Forestry Engineer (1996) Forestry Engineer (1999) Doctorate in Forestry Engineering (2004) Research Focus : His work centers on biotic/abiotic risk modeling in forest ecosystems, including: Forest fuel dynamics (canopy/ground) and fire severity Growth loss from invasive pests (e.g., Asian chestnut gall wasp) Climate-productivity relationships in eucalyptus and pine stands IoT-based forest health monitoring Article Trends : Recent publications emphasize invasive pest interactions, climate change impacts on forest productivity, fuel load modeling using LiDAR/Sentinel-2, and citizen science applications for damage reporting. Professional Roles : Currently coordinates the interuniversity MasterFUEGO program in forest fires. Previously held teaching roles at the University of León (2002-2008). International Experience : Conducted postdoctoral research at: USDA Forest Service (2004) Georg-August-Universität Göttingen (2005) Universidade de Trás-Os-Montes (2011) Universidad de La Plata (2023) Research Groups : Active member of DRACONES (modeling complex forest environments) and collaborator with UXAFORES at Universidade de Santiago de Compostela.

Aliakbar AkbaritabarView profile

Researcher

• science of science
• scholarly migration
• social networks
• +4 more

Aliakbar Akbaritabar (also known as Ali) is a Research Scientist and Deputy Head of Training at the Max Planck Institute for Demographic Research (MPIDR) in Rostock, Germany. He works within the Laboratory of Migration and Mobility, which is part of the Digital and Computational Demography research group led by Prof. Emilio Zagheni. Dr. Akbaritabar holds two PhD degrees: one in economic sociology and labor studies from the University of Milan, and another in sociology (social welfare) from the Allameh Tabataba'i University of Tehran. Prior to joining MPIDR, he worked as a postdoctoral research scientist at the German Centre for Higher Education Research and Science Studies (DZHW) and the German Competence Network for Bibliometrics. As a computational social scientist with a background in sociology, Dr. Akbaritabar's research focuses on the science of science, scholarly migration, social networks, collaboration networks, and computational social science. His work re-purposes bibliometric data to answer social science and demographic questions, with particular interest in understanding migration and mobility patterns of scholars globally. He employs computational tools and techniques to address social scientific questions, bridging the gap between data science and sociological inquiry. Dr. Akbaritabar's recent publications demonstrate a strong focus on global scholarly migration patterns, gender disparities in academic mobility, and methodological approaches in quantitative social science. His work often involves large-scale data analysis of scientific publications and researcher movements across international borders, revealing significant insights about the structure and dynamics of the global academic system. He has developed innovative approaches to analyzing scholarly migration using bibliometric data and has made substantial contributions to understanding the relationship between collaboration and mobility in academia. Dr. Akbaritabar is actively involved in promoting computational approaches in social science research and has developed resources for using R Markdown, Git, and GitHub for academic writing. He maintains a public calendar of Computational Social Science events worldwide and shares his research through platforms like BlueSky, Twitter, and Mastodon. As Deputy Head of Training at MPIDR, Dr. Akbaritabar plays a key role in developing training programs for researchers, particularly focusing on computational methods in demographic research. His laboratory work centers on analyzing migration and mobility patterns of scholars using bibliometric data, contributing significantly to our understanding of global knowledge production and academic collaboration networks. He is also involved in several major projects including the Migration and Mobility of Scholars initiative and the Scholarly Migration Database project.

Dmitri A. JdanovView profile

Research Professor

• Demography
• Population Health
• Mortality Studies
• +7 more

Dmitri A. Jdanov is the Head of the Laboratory of Demographic Data at the Max Planck Institute for Demographic Research (MPIDR) in Rostock, Germany. He is a leading expert in demographic data systems, focusing on mortality, fertility, and migration databases. His research contributes significantly to population health and statistical demography. Research Interests: His work spans key areas including mortality studies , fertility trends , data quality adjustment , life expectancy , and public health impacts of global crises such as the COVID-19 pandemic. He develops and applies advanced statistical methods to correct demographic data distortions and assess population-level health outcomes. The recent articles highlight a strong focus on the impact of the pandemic on fertility and mortality , seasonal and spatial mortality patterns , and methodological innovations in demographic measurement . His publications frequently appear in high-impact journals such as The Lancet , BMJ Public Health , and Population and Development Review . Scientific Awards: While specific awards are not listed in the provided text, his leadership in major international data projects and his extensive publication record in top journals indicate significant recognition in the field of demography. Advising and Grants: Dmitri A. Jdanov leads multiple research projects funded by international and institutional sources, including the Human Fertility Database, Human Mortality Database, and the Monitoring Mortality Inequalities Consortium. He supervises and collaborates with a broad network of researchers and contributes to the training of early-career demographers through the MPIDR’s research school. Labs and Teams: He heads the Laboratory of Demographic Data , which plays a central role in maintaining and advancing global demographic databases. His team collaborates closely with the Laboratory of Population Health and other research groups at MPIDR, contributing to interdisciplinary studies on population dynamics and health.

Marília R. NepomucenoView profile

Researcher

• Demography
• Mortality Studies
• Population Aging
• +5 more

Marília R. Nepomuceno serves as a Research Scientist and Training Chair at the Max Planck Institute for Demographic Research (MPIDR) in Rostock, Germany, where she is affiliated with the Laboratory of Population Dynamics and Sustainable Well-Being and the Laboratory of Demographic Data. Her work bridges demographic methodology with empirical analysis of population health trends. Her research centers on mortality dynamics, lifespan variation, and demographic responses to crises like the COVID-19 pandemic. Key interests include: Regional mortality inequalities in Brazil and Europe Methodological innovations in lifespan variation measurement (e.g., CAL† metric) Data quality assessment for extreme age reporting Pandemic impact analysis beyond age-structure effects Her recent publications reveal a strong focus on spatial disparities in life expectancy, cohort mortality reconstruction, and the demographic implications of pandemic responses. Nepomuceno contributes to major demographic resources including COVerAGE-DB, the global database tracking age-structured COVID-19 outcomes. As Training Chair, she oversees academic development programs at MPIDR, though specific student mentorship details are not publicly documented. Her work frequently involves cross-institutional collaborations with researchers across Latin America and Europe. She actively participates in laboratory initiatives focused on population dynamics and demographic data infrastructure, contributing to MPIDR's role as a global leader in demographic science. Current projects examine seasonal mortality patterns and their implications for life expectancy disparities across European regions.

• Natural Language Processing
• Computer Vision
• Artificial Intelligence
• +3 more

Aditya Sharma is a researcher at the University of California Santa Barbara , focusing on Natural Language Processing , Computer Vision , and Artificial Intelligence . His work bridges vision-language models, medical AI evaluation, and knowledge graph reasoning. PhD : Advancing AI Understanding in Language & Vision (UCSB, 2024) Research Interests: • Vision-Language Models for geometric reasoning and mixed reality • Medical LLM evaluation and hallucination reduction • Temporal knowledge graph reasoning and multimodal systems Article Trends: Recent publications emphasize vision-language integration (e.g., GeoCoder, OCTO+), LLM reliability in medical contexts (MedHELM), and temporal reasoning (TwiRGCN). He explores applications in dark web security , healthcare diagnostics , and energy-efficient computing .

• Memory
• Emotion
• Working Memory
• +4 more

Beril Sercem ŞENGÜL is a Researcher at Üsküdar University's Faculty of Humanities and Social Sciences, Department of Psychology (English). Born in Tunceli (1999), she holds a BSc (2021) and ongoing MSc from Ege University's Psychology Department. Her research focuses on memory-emotion interactions, cognitive load effects, and neuropsychological processes. She coordinates Pedagogical Formation programs and advises 100-150 students. Educational Background: BSc (Ege University, 2021), MSc (Ege University, 2024), ongoing PhD (Ege University). Completed internships at Ege University Hospital Clinical Neuropsychology Lab and Cognitive Psychology Lab. Research Interests: Explores how emotional arousal and cognitive load influence working memory through experimental paradigms. Recent work examines cultural variations in emotional evaluation using IAPS stimuli and investigates top-down/bottom-up processing dynamics in visual working memory. Active in conferences like the APS Global Summit (2024) and Experimental Psychologists Conference (2025). Administrative Roles: Serves on 9 university committees including Education Commission, Quality Commission, and International Students Academic Commission since 2022. Coordinates Pedagogical Formation programs since 2023. Teaching: Taught "Class Management" (Spring 2023-24) and "Teaching Practice" (Fall 2023-24) to 304+ students. Known for bridging theoretical psychology with practical pedagogical applications.

Lawrence K CormackView profile

Professor

• Visual System
• Natural Scene Statistics
• Data Analysis and Visualization
• +3 more

Lawrence K. Cormack is a Professor of Psychology and Neuroscience at the University of Texas at Austin, affiliated with the College of Liberal Arts. He holds a B.S. from the University of Florida (1986) and a Ph.D. in Physiological Optics from UC Berkeley (1992). His research focuses on 3D motion processing, natural scene statistics, and visual system dynamics. He actively contributes to the Center for Perceptual Systems and collaborates with the Institute for Neuroscience. Dr. Cormack teaches graduate statistics and advanced undergraduate courses, emphasizing data visualization and statistical methods. Education: B.S. in Psychology, University of Florida (1986) Ph.D. in Physiological Optics, UC Berkeley (1992) Research Interests: 3D Motion Perception Visual System Evolution Depth and Motion Processing Data Analysis and Visualization Teaching: Neuroscience/Psychology 384M: Graduate Statistics PSY 341K: Computer Simulations His recent work explores retinal motion statistics during natural locomotion and the integration of binocular cues for 3D perception. He has developed continuous psychophysics techniques to study visual processing delays and their impact on motor responses.

Kent JonesView profile

Professor

• Computer Science
• Electrical Engineering
• Software Engineering
• +3 more

Kent Jones is a Professor in the Department of Math/Computer Science at Whitworth University since 1995. His academic career includes roles as site director for the ACM Intercollegiate Pacific Northwest Programming Competition and judge/problem writer since 2000. He has collaborated on medical technology grants and taught over 15 courses ranging from introductory programming to advanced topics in computer architecture and graph theory. Education: Ph.D./M.S. from Washington State University, B.S. from Walla Walla College Research focuses on machine learning applications in medical technology, genetic algorithms, and computational networks. His work includes developing an endoscopic guidance system for neurosurgery and exploring fuzzy retrieval systems in spatial databases. Jones emphasizes interdisciplinary collaboration, demonstrated through international presentations in India and Australia. Grants include $15K for neurosurgery technology (2000) and $4.4K for hardware/software (2001). He co-organized computing outreach seminars for high-school students (2007) and maintains industry ties through prior roles at Boeing and McDonald's.

Patrick E. ManteyView profile

Professor

• Signals and Systems
• Image and Signal Processing
• Geographic Information Systems
• +15 more

Professor Patrick E. Mantey is a distinguished faculty member at the University of California, Santa Cruz (UCSC), where he serves in the Jack Baskin School of Engineering. He is the founding dean of the school (1997–2001) and continues to contribute as a professor in Computer Engineering. He also holds leadership roles as Director of the Institute for Networking, Information Systems and Technologies and as the UCSC affiliate director of CITRIS. His career bridges academia and industry, with prior experience at IBM and teaching at Stanford University. Ph.D., Electrical Engineering, Stanford University (NSF Fellow) M.S., Electrical Engineering, University of Wisconsin-Madison B.S., Electrical Engineering, University of Notre Dame (magna cum laude) His research spans signals and systems, with early contributions in digital signal processing, geographic information systems, and database applications. His current focus is on resilient and renewable energy systems through the RREES Lab, where he investigates microgrid energy management, anomaly detection, and federated microgrid systems. His work integrates machine learning, real-time data analysis, and decision support systems. The majority of his recent publications center on real-time environmental monitoring, multimedia systems, and educational technology. Trends show a strong emphasis on distributed systems, data visualization, and networked applications in environmental and educational contexts. His earlier work laid foundations in digital filtering, power systems, and interactive geographic data systems. Fellow of the IEEE (2001) NSF Fellowship during doctoral studies Microsoft, NOAA, NSF, and U.S. Army Corps of Engineers research awards Professor Mantey has advised numerous students through capstone projects and research initiatives, particularly in networked systems and environmental informatics. His research has been supported by major grants from the National Science Foundation, Office of Naval Research, NOAA, and industry partners including IBM, Cisco, Sun, Microsoft, and Hewlett-Packard. He has led large-scale projects such as REINAS and contributed to the development of the UCSC Scientific Visualization Laboratory. He is actively involved in multiple research groups, including the Storage Systems Research Center (SSRC), the Telecollaboration Lab, the Computer Communication Research Group (CCRG), and the CARNIVORE Project. These labs focus on storage systems, educational technology, wireless networks, and environmental sensor networks, reflecting the interdisciplinary nature of his work.

• Strip Cropping
• Biodiversity
• Diversified Farming Systems
• +4 more

Juventia Stella is a postdoctoral researcher at the Lighthouse Farm Team of Wageningen University , specializing in diversified agricultural systems with a focus on strip cropping and biodiversity . Her work bridges ecological principles with practical farming solutions to enhance yield and sustainability. PhD Thesis : Designing Strip Cropping Systems in the Netherlands (2024), analyzing multi-year impacts on organic systems. Key Research Areas : Biodiversity conservation, agroecological design, organic farming, and policy-relevant sustainability metrics through projects like Designing Arable Fields Toward Greater Crop Diversification (2020–2024). Her recent publications emphasize strip cropping as a tool for balancing biodiversity and productivity, with trends showing applications in organic cabbage systems , spatio-temporal planning , and global diversified farming . She has contributed to datasets like the Agrobiodiversity Index and a global database on diversified farming , highlighting her role in data-driven agricultural research. Collaborations with researchers such as W. Rossing and D.F. van Apeldoorn underscore her integration into international agroecological networks. Her work has been cited 33 times (Scopus), with significant social media and media engagement.