جست‌وجوی استاد و پژوهشگر

John Derek Morganمشاهده پروفایل

دانشیار

• Geographic Information Systems (GIS)
• Urban Environmental Geography
• Participatory Mapping
• +۱۲ مورد دیگر

John Derek Morgan is an Associate Professor in the Department of Earth and Environmental Sciences at the University of West Florida, within the Hal Marcus College of Science and Engineering. He serves as the primary faculty for the online Master of Science in GIS Administration program, contributing significantly to geospatial education and research. His work bridges urban environmental geography, GIS, cartography, and public policy. PhD in Geography, Florida State University MS in Management Information Systems, University of Central Florida BA in Economics (with Computer Science minor), University of Central Florida Dr. Morgan's research centers on the application of advanced geospatial methodologies to urban and environmental challenges. His work spans participatory mapping, crime mapping using time-geographic models, hazard modeling, land use planning, and cartographic visualization. He emphasizes user-centered design in Web GIS and explores how spatial tools can promote safer communities and equitable decision-making. His projects often integrate satellite imagery, social vulnerability indices, and community input to inform resilience and policy. The recent publications reflect a strong trend in applying GIS to social and environmental issues, including disaster response, urban park safety, illegal logging detection using GeoAI, and wildfire monitoring. His work combines technical innovation in geovisualization with real-world applications in public safety, environmental justice, and urban sustainability. Scientific Awards: NSF Doctoral Dissertation Research Grant #0927850 Dr. Morgan advises graduate students in the MS GIS program and has been involved in significant research grants, including the Florida Sea Grant 2024 project focused on training GIS graduates for coastal resilience. His collaborations span interdisciplinary teams, including environmental scientists, urban planners, and computer scientists. He has also contributed foundational content to the UCGIS Geographic Information Science & Technology Body of Knowledge. He leads research initiatives involving Web GIS development, hazard modeling post-hurricanes, and participatory mapping for community engagement. His lab work includes the use of satellite imagery, Bayesian networks for infrastructure failure, and deep learning for environmental monitoring. Future work continues to focus on transboundary viewshed changes, GeoAI applications, and improving spatial tools for public decision-making.

Emek Demirمشاهده پروفایل

دانشیار

• Computational Biology
• Cancer Bioinformatics
• Pathway Informatics
• +۵ مورد دیگر

Emek Demir serves as an Associate Professor in the Department of Molecular and Medical Genetics at Oregon Health & Science University's School of Medicine, where he directs the Computational Biology program at the Brenden-Colson Center for Pancreatic Care. His academic journey includes a Ph.D. in Computer Engineering from Bilkent University (2005) under Ugur Dogrusoz and postdoctoral training with Chris Sander at Memorial Sloan Kettering Cancer Center's Computational Biology Center. Dr. Demir's research centers on Pathway Informatics, integrating detailed biological pathway information with omic data to solve cancer biology problems. His work spans pathway curation, visualization, NLP, data standardization, machine learning, and mechanistic simulation. He pioneered the BioPAX pathway data standard and developed Pathway Commons—the largest process-level pathway database with over 2 million interactions and 400,000 detailed human reactions. His publication record demonstrates consistent innovation in computational oncology, with recent work focusing on transcription factor activity prediction, spatial tumor mapping, and causal network analysis. Key contributions include algorithms for detecting altered cancer sub-networks, identifying transcription factor modulators, and inferring active networks from proteomic data. His research bridges computational methods with clinical applications in leukemia, prostate cancer, and glioblastoma. Recipient of leadership roles in major NIH-funded initiatives Principal developer of Pathway Commons and BioPAX standards Extensive collaborations with Memorial Sloan Kettering and OHSU clinical departments Dr. Demir directs a computational biology program focused on translating pathway knowledge into clinical insights for pancreatic cancer, with ongoing projects in spatial omics, multi-dimensional tumor atlases, and antiviral nanomaterial applications.

Petteri Muukkonenمشاهده پروفایل

مدرس ارشد

• Geography of Well-being and Education
• Urban Studies and Planning
• Active Transportation
• +۷ مورد دیگر

Petteri Muukkonen serves as Senior University Lecturer in Geography at the Department of Geosciences and Geography, University of Helsinki, where he also holds a Docentship in Biogeography since 2008. He directs the Master's Program in Urban Studies and Planning (USP) and leads the Geography of Well-being and Education research group. Muukkonen is actively involved in multiple research initiatives including the Equal Suburbs with Physical Activity (YLLI) project as Consortium director and the CRITICAL project as Workpackage leader. His institutional affiliations extend to the Institute for Urban Studies (Urbaria), Helsinki Inequality Initiative (INEQ), Teachers' Academy, and Institute of Sustainability Science (HELSUS). Dr. Muukkonen's educational background includes a PhD in Geography from the University of Helsinki (2006), MSc and BSc in Geography from the University of Turku (2002, 2000), and additional qualifications in Education (University of Helsinki, 2016), Business and Economics (University of Eastern Finland, 2014), Special Needs Education (University of Helsinki, 2014), and Nordic Languages and Cultures (University of Helsinki, 2020). His research spans geography education, urban studies, physical activity in suburban environments, and biodiversity in boreal ecosystems. Muukkonen's work bridges educational theory with practical applications in urban planning and environmental sustainability. He has published extensively across geography, environmental science, and educational fields with over 180 research outputs and 13 active projects. His recent publications demonstrate a strong focus on integrating geographical knowledge with contemporary societal challenges including climate justice, active transportation, and critical media literacy. Muukkonen has received multiple Outstanding Reviewer Awards from prestigious journals including Ecological Indicators, Ecological Informatics, Energy Ecology & Environment, and Journal of Cleaner Production. He also participated in the GALA2022 Serious Games Competition. With over 410 academic activities recorded, including 99 peer reviews and 92 oral presentations, he maintains an active scholarly presence. As an educator and researcher, Muukkonen supervises Master's theses and participates in doctoral education through the Doctoral Programme in School, Education, Society and Culture. His work on the YLLI project and CRITICAL initiative demonstrates his commitment to translating research into practical solutions for urban challenges and educational innovation.

Kevin A. Henryمشاهده پروفایل

استاد

• Health Geography
• Geographic Information Systems (GIS)
• Epidemiology
• +۱۲ مورد دیگر

Kevin A. Henry is a Professor and Department Chair in the Department of Geography, Environment, and Urban Studies at Temple University's College of Liberal Arts. He is also an affiliated faculty member with the Global Studies program and the Center for Sustainable Communities. Additionally, he is a member of the Cancer Prevention and Control program at Fox Chase Cancer Center. His educational background includes a Ph.D. in Geography from McGill University (2005) and a postdoctoral fellowship in biostatistics and epidemiology at the same institution. Dr. Henry's research is centered on health geography, with a focus on geospatial analysis methods to study cancer prevention, patient outcomes, and health disparities. His expertise includes spatial statistics, disease mapping, GIS, epidemiology, and life-course perspectives on health. He investigates geographic access to healthcare, particularly cancer screening and treatment, and integrates residential histories into cancer research. His work employs advanced geospatial methods to understand how place influences health outcomes. The recent publications reflect a strong trend in spatial epidemiology, cancer disparities, and geospatial modeling. Key themes include HPV vaccination disparities across rural-urban gradients, socioeconomic and geographic determinants of cancer incidence and stage at diagnosis, and the application of GIS to public health and environmental health. The articles demonstrate interdisciplinary collaboration and a consistent focus on using spatial analytics for health policy and cancer control. Dr. Henry has received research funding from major national agencies including the National Science Foundation (NSF), National Institutes of Health (NIH), Department of Defense (DOD), and American Cancer Society (ACS). He serves on advisory committees and collaborates with the National Cancer Institute (NCI), Centers for Disease Control and Prevention (CDC), and North American Association of Central Cancer Registries (NAACCR). He mentors students through the Medical Geography and Population Health Spatial Analytics Laboratory (MAPS Lab), where he supervises graduate and undergraduate research in medical geography. He has taught courses such as Fundamentals of GIS, Health and Medical Geography, GIS for Public Health, Spatial Epidemiology, and Environmental GIS. He is actively recruiting PhD students (starting Fall 2026) and postdoctoral researchers for NIH- and DOD-funded projects. The MAPS Lab conducts applied research using spatial analysis and statistical methods to examine geographic accessibility and place-based health disparities. The lab emphasizes the role of geographic factors in health outcomes, particularly in cancer prevention and care, and engages in interdisciplinary collaborations and national data initiatives.

Agnes Haryantoمشاهده پروفایل

پژوهشگر ارشد

• Big Data Management
• Data Engineering
• Geospatial Databases
• +۳ مورد دیگر

Dr. Agnes Haryanto is a Research Fellow in the Embodied Visualisation Group at Monash University's Faculty of IT. Her work focuses on improving healthcare quality through live-streaming clinical analytics and dashboards for accreditation. She holds a PhD from Monash University (2015) in Spatial and Graph Databases. Education: Doctor of Philosophy, Monash University Research interests span Big Data Management, Geospatial Databases, and Health Informatics. Her current projects include a digital health intervention for Emergency Department clinicians (2023–2026), funded by Australia's Department of Health and Aged Care. She has contributed to advancing spatial query optimization and clinical data warehouse systems. Collaborations involve interdisciplinary teams addressing SDGs like quality education and health equity. Teaching commitments include units like FIT3003 (Business Intelligence) and FIT5137 (Advanced Database Technology). Key projects include developing real-time clinical analytics systems to bridge gaps in healthcare data utilization. Her work aligns with UN SDG 3 (Good Health) and SDG 4 (Quality Education).

Ziad Matniمشاهده پروفایل

استاد آموزشی

• Computer Science
• Social Sciences
• Education Technology
• +۳ مورد دیگر

Ziad Matni is an Assistant Teaching Professor in the Department of Computer Science at the University of California, Santa Barbara (UCSB). He holds a PhD in Information Science from Rutgers University and an MS and BS in Electrical and Computer Engineering from the University of Southern California. Prior to academia, he worked in the tech industry for over a decade as an engineer and manager. Roles: Director of UCSB's Early Research Scholars Program (ERSP), Co-Director of Undergraduate Learning Assistants (ULA) program, Faculty Advisor for the Class of 2026. Research Focus: Computational social science, information-seeking behavior in networked communities, and computer science pedagogy. Teaching: Courses include CMPSC 8/W8, CMPSC 16, CMPSC 32, CMPSC 40, CMPSC 64, CMPSC 110, CMPSC 111, CMPSC 154, and CMPSC 176A. His research integrates interdisciplinary approaches, combining computational analysis with social science theories to study information behavior and educational technologies. Recent work emphasizes leveraging social media data for community well-being and improving undergraduate learning through peer mentorship programs. Ziad’s Erdős number is ≤5 and Berners-Lee number is ≤3, reflecting his academic collaborations. He is passionate about making computer science accessible to all learners, regardless of background. Professional Development: Advises on curriculum design, oversees student research initiatives, and contributes to UCSB’s efforts in computational education.

Tareq Nasralahمشاهده پروفایل

عضو هیئت علمی

• Data Analytics
• Social Media Analytics
• Information Systems Design
• +۴ مورد دیگر

Tareq Nasralah is an Assistant Teaching Professor in the Supply Chain and Information Management group at the D'Amore-McKim School of Business, Northeastern University. He holds a Ph.D. in Information Systems from Dakota State University's College of Business and Information Systems, with a specialization in Analytics and Decision Support. Research Interests: His research focuses on data analytics and information system design, particularly leveraging social media analytics to extract insights from user-generated content. His work spans two main themes: (1) applying text analytics to mine knowledge from online platforms, and (2) exploring design features of information systems in healthcare and wellness contexts. His interdisciplinary approach bridges computer science, public health, and business informatics. Publication Trends: His recent publications highlight a strong emphasis on health informatics, using social media data (especially Twitter) to study public health issues such as opioid addiction, e-cigarette risks, diabetes technologies, and physician opinions during the COVID-19 pandemic. His methodological toolkit includes text mining, topic modeling, sentiment analysis, and mixed-methods approaches, often applied in collaboration with healthcare institutions and interdisciplinary teams. Scientific Contributions: While no formal awards are listed, his research has been published in reputable venues including Journal of Medical Internet Research (JMIR) , AMCIS , and HICSS , indicating recognition in the information systems and digital health communities. Advising and Grants: There is no mention of graduate students advised or external research grants in the provided text. However, his active research trajectory suggests ongoing scholarly engagement and potential mentorship within his academic group. Labs and Research Teams: Though specific labs are not named, he is affiliated with the Supply Chain & Information Management Academic Group at D'Amore-McKim School of Business. His collaborative work with researchers like Omar El-Gayar and Yong Wang indicates participation in a broader research network focused on health analytics and information systems innovation.

Jun-Ki Choiمشاهده پروفایل

استاد

• Sustainable Manufacturing
• Energy Efficiency
• Design for Environment
• +۷ مورد دیگر

Jun-Ki Choi is a Professor in the Department of Mechanical and Aerospace Engineering at the University of Dayton’s School of Engineering. He holds the O. Jack and Opal Anderson Faculty Fellowship in Engineering Innovation and serves as Director of the University of Dayton Industrial Training and Assessment Center (UD-ITAC), a U.S. Department of Energy-funded program providing energy efficiency assessments to small and mid-sized manufacturers. His research interests include: Sustainable Manufacturing Energy Efficiency Design for Environment Life Cycle Assessment Circular Economy Sustainable Energy Infrastructure Economic Systems Modeling Energy and Environmental Policy His recent publications focus on industrial energy efficiency, life cycle assessment, sustainable manufacturing, and the application of machine learning in energy systems. The research spans topics such as photovoltaic integration, desalination, refrigeration, compressed air systems, and building energy modeling, often combining techno-economic and environmental evaluations. Dr. Choi has received multiple awards for his work, including the U.S. Department of Energy Excellence in Applied Energy Engineering Research Award (2022), the ASHRAE Technical Paper Award (2017), and multiple recognitions as a Center of Excellence from the U.S. Department of Energy (2003, 2015). He has secured over $8 million in research funding as PI or Co-PI and has mentored numerous students through the UD-ITAC program, which has conducted over 1,000 energy assessments. He teaches courses such as Manufacturing Process, Heat Transfer, and Design for Environment at both undergraduate and graduate levels. Dr. Choi leads the UD-ITAC, a key research and outreach center focused on improving manufacturing competitiveness through energy savings, productivity improvements, and waste reduction. The center has received national acclaim for its impact and professionalism.

• Database Systems
• Data Mining
• Social Network Analysis
• +۳ مورد دیگر

Eric Leclercq is a researcher at the University of Burgundy, affiliated with the LE2I Lab in Dijon, France. His work spans database systems, social network analysis, and biomedical data integration. He has contributed extensively to polystore systems, tensor decompositions, and category theory applications in data modeling. Fields of Interest : Database Systems, Data Mining, Social Network Analysis, Big Data Analytics, Semantic Web Leclercq's recent research focuses on formal frameworks for data lakes using category theory, multi-level tensor decomposition for social network stratification, and schema migration in multi-model systems. He has published in venues like CAiSE, IDEAS, and RCIS. His collaborations include Annabelle Gillet, Marinette Savonnet, and Nadine Cullot. Notable works include Lambda+ architecture for data processing, polarization analysis in social networks, and tools for tweet collection and biomedical data integration.

Alexander Meschtscherjakovمشاهده پروفایل

استاد

• Human-Computer Interaction
• Interaction Design
• Computer Sciences
• +۳ مورد دیگر

Alexander Meschtscherjakov is a Professor at the University of Salzburg specializing in Artificial Intelligence and Human Interfaces . With over 198 research outputs and 18 projects, his work focuses on Human-Computer Interaction (HCI), Augmented Reality (AR), and Interactive Systems for mobility and urban design. Active Projects : DiMo-NEXT (2024-2028), Doctoral College Human-Computer Interaction (2022-2027), LBI Digital Health (2019-2026) Research Themes : AR in public spaces, adaptive motion tracking, sustainable design, and user-centered AI frameworks His 15 most recent articles (2023-2025) explore AR applications in urban design (2025), generative AI democratization (2025), motion sickness prevention (2016), and breathing-based interaction methods (2023). Notable scientific awards include the Lasting Impact Award Automotive UI (2024), CHI 2019 Honourable Mention , and multiple best paper awards.

Jakub Nowosadمشاهده پروفایل

پژوهشگر

• Spatial Association
• Information Theory
• Landscape Metrics
• +۷ مورد دیگر

Jakub Nowosad is a researcher affiliated with Adam Mickiewicz University in Poznań and currently holding a prestigious Marie Skłodowska-Curie Actions Postdoctoral Fellowship at the University of Münster's Remote Sensing and Spatial Modeling group (August 2024-August 2026). His work bridges geography, computer science, and environmental science with a focus on spatial data analysis and machine learning applications. Nowosad's research interests center on spatial association methods, landscape metrics, information theory applications in geography, and spatial machine learning techniques. He has made significant contributions to developing and implementing computational methods for analyzing spatial patterns, particularly through R programming packages that address spatial autocorrelation challenges in machine learning. His work spans environmental monitoring, landscape ecology, and geospatial analysis with practical applications in understanding climate change impacts, forest fragmentation, and permafrost degradation. His publication record demonstrates a strong focus on methodological development in spatial data science, with numerous recent publications on spatial machine learning frameworks, computational landscape ecology, and specialized software tools. Nowosad's work shows a clear trajectory toward integrating advanced machine learning techniques with traditional spatial analysis methods to overcome limitations in spatial prediction and pattern recognition. Marie Skłodowska-Curie Actions Postdoctoral Fellowship (MSCA-PF) for the PRISM project (PReservation and RecognItion of Spatial patterns using Machine learning) Nowosad actively contributes to the open-source geospatial community through software development, including packages like spatialRF and contributions to spatial machine learning frameworks. His collaborative work spans multiple institutions including the University of Cincinnati, International Institute for Applied Systems Analysis, and various European research groups. He appears to be developing methodologies that will significantly impact how spatial patterns are recognized and preserved in environmental datasets, with applications ranging from Arctic landscape monitoring to forest conservation planning.

• Graph Theory
• Energy Efficiency
• Lighting Systems
• +۳ مورد دیگر

Dr. Artur Basiura serves as an Assistant Professor in the Department of Applied Informatics at AGH University of Science and Technology's Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering in Kraków, Poland. His institutional affiliation centers on applied informatics research within electrical engineering and computer science domains. His research spans graph theory applications in lighting systems, energy efficiency optimization, and software engineering. Key interests include graph-based street lighting modernization, XBRL taxonomy integration, and adaptive control systems. His work bridges theoretical computer science with practical electrical engineering solutions for urban infrastructure. Analysis of his 14 publications (2004-2022) reveals an evolving research trajectory: early work (2004-2007) focused on software engineering fundamentals including e-commerce frameworks and UML diagram comprehension, while recent publications (2016-2022) demonstrate a strategic shift toward graph-theoretic approaches for lighting system optimization and energy reduction in urban environments.

Anders Reuterمشاهده پروفایل

مدرس ارشد

• Contemporary Pop Music
• Hip-hop
• EDM
• +۱۰ مورد دیگر

Anders Reuter is a Senior Lecturer in Musicology at the Lund University Department of Arts and Cultural Sciences. His research focuses on contemporary pop music, music production digitization, and digital culture including platformization and social media. He teaches courses in popular music, contemporary music production, music history, musical minimalism, and cultural politics. Specializes in TikTok, K-pop, and hip-hop Expert in Music Production and digital aesthetics Active in interdisciplinary research between music and psychology Research trends include platform society impacts on music production, with publications analyzing modularity in digital audio workstations and topological space in pop music. Currently serves as Assistant Supervisor for the A Studio Online dissertation project and Researcher in the Aesthetic Studies Reading Group . Participates in international conferences like IASPM UK & Ireland Biennial Conference and Psychology & Music Interdisciplinary Encounters.

• Information Preservation
• Information Architecture
• Spatial Data Management
• +۵ مورد دیگر

Senior Lecturer Göran Samuelsson at Mid Sweden University's Archival and Information Science Section specializes in information preservation and architecture. With a doctorate in history from Stockholm University, he bridges traditional archival practices with modern digital challenges. Doctorate in history (Stockholm University) 30+ years in information flows Former archive strategist at Lantmäteriet Current information specialist at Swedish Transport Administration His research focuses on long-term information preservation strategies, information architecture, and spatial data management. Current projects include: Swedish Transport Administration collaboration on information management Physical infrastructure information integration (sensors, AI) Information reuse in infrastructure projects InterPARES Trust international research Forum for Digitalization (FODI) research group Recent research trends examine: Spatial data preservation frameworks Metadata standards for geospatial information Virtual archival education environments Cross-organizational information continuity Digital information reuse in infrastructure projects AI integration with archival systems Professional roles include: Teaching Archival and Information Science at all academic levels Active in information management for Sweden's Ostlänken infrastructure project Board member of the Cartographic Society Certified business architect

D. Frantzمشاهده پروفایل

استادیار

• Earth Observation
• Remote Sensing
• Geoinformatics
• +۷ مورد دیگر

D. Frantz is an Assistant Professor at Trier University , leading the Geoinformatics - Spatial Data Science lab. Their research focuses on transforming Earth Observation (EO) data into actionable environmental insights through preprocessing, data cubes, and machine learning. Current Position : Assistant Professor for Geoinformatics - Spatial Data Science, Trier University (2021–today) Former Role : PostDoctoral Researcher at Earth Observation Lab, Humboldt-Universität zu Berlin (2017–2021) Education : PhD in Environmental Remote Sensing and Geoinformatics, Trier University (2013–2017) Frantz's research emphasizes open science , with all software and methods published as open source ( FORCE ). Key research areas include: EO data preprocessing to analysis-ready data Multi-sensor data integration (Sentinel, Landsat) Land cover fraction mapping and time series analysis Material stock quantification in buildings/infrastructure Climate change mitigation through urban-rural gradient analysis Recent publications highlight work on global material stock mapping , tree species classification in temperate forests, and temporally transferable crop mapping using deep learning. While no explicit awards are listed, their open-source contributions and leadership in the Geoinformatics lab underscore significant academic impact.