جست‌وجوی استاد و پژوهشگر

• Rock Art Studies
• Archaeology
• Indigenous Communities
• +۳ مورد دیگر

David Robinson is a Professor of Rock Art and Archaeology at the University of Central Lancashire's School of Law and Policing. His research spans the UK, India, Europe, and the USA, focusing on the art and archaeology of Native California while collaborating with local tribal communities. He integrates innovative technologies like virtual reality (VR) into his teaching and research. Affiliations: University of Central Lancashire, School of Law and Policing Research Themes: Rock Art Analysis Indigenous-Community Collaboration VR and Digital Archaeology Psychoactive Substances in Prehistoric Rituals Pigment and Material Science Assemblage Theory Awards: No scientific awards explicitly mentioned. Grants & Collaborations: Extensive cross-disciplinary collaborations with universities and institutions in California, India, and the UK. Publications: Recent works highlight the use of electrochemiluminescence in archaeological analysis, computational photography, and the cultural significance of hallucinogens in rock art contexts.

• Information Systems Development
• Digital Transformation
• Agile Software Development
• +۵ مورد دیگر

Dr. Bartosz Marcinkowski serves as Professor and Head of the Department of Business Informatics at the University of Gdańsk's Faculty of Management, concurrently holding the positions of Deputy Dean for Research and Head of the Doctoral School. His academic leadership spans departmental administration, faculty research strategy, and doctoral program oversight within Poland's prominent management education institution. Marcinkowski's research centers on the intersection of information systems and practical business applications, with dominant focus areas including agile software development methodologies, digital transformation frameworks, and facility management technology adoption. His work consistently addresses contemporary challenges such as post-pandemic recovery in IT projects, generative AI integration, and sustainable business practices through empirical industry-academia collaborations. Recent publications demonstrate particular expertise in scaling agile frameworks for distributed teams and implementing blockchain solutions in enterprise environments. Analysis of his 2022-2025 publications reveals a strategic research trajectory emphasizing practical solutions for complex business-technology challenges. His work shows increasing integration of sustainability considerations across domains, from facility management to corporate governance, while maintaining strong methodological focus on agile approaches and systems integration. The recurring industry-academia collaboration theme highlights his commitment to bridging theoretical research with real-world business applications.

Tomislav Henglمشاهده پروفایل

پژوهشگر

• Machine Learning
• Environmental Data Analysis
• Soil Science
• +۹ مورد دیگر

Dr. Tomislav Hengl is a leading researcher and Technical Director at OpenGeoHub Foundation and Envirometrix BV, specializing in spatial statistics, machine learning, and environmental data science. With over 20 years of experience in predictive soil mapping and geostatistics, he has pioneered open source frameworks for automated global environmental mapping. Co-founder of OpenGeoHub Foundation Initiator of OpenGeoHub Summer Schools (running since 2007) Project leader of OpenLandMap system Recipient of Clarivate Highly Cited Researcher (2021) His research focuses on: Machine learning for spatial/spatiotemporal data Environmental data cube systems Global soil and vegetation mapping Open source geospatial software development Spatio-temporal predictive modeling Cloud computing for Earth observation data Recent research trends include: Development of high-resolution global terrain models Analysis of vegetation productivity using satellite time-series Ensemble machine learning for environmental mapping Integration of multi-source geospatial datasets Applications in climate change impact assessment Advancing open data infrastructures Scientific contributions include: Clarivate Highly Cited Researcher (2021) Over 60 journal publications Founding Vice-Chair of the International Society for Geomorphometry (2011-2015) Development of open source R packages for geospatial analysis

• Statistics
• Econometrics
• Supply Chain Management
• +۷ مورد دیگر

Dr. Anna Tatarczak is a Lecturer at the Department of Management Research Methods, Institute of Management and Quality Sciences, Faculty of Economics, Maria Curie-Skłodowska University. She holds a PhD in mathematical sciences from Jagiellonian University (2015) and an MSc in mathematics from Maria Curie-Skłodowska University. Her 13-year career spans research and education in statistics, econometrics, logistics, and decision analysis. PhD: Jagiellonian University (2015) MSc: Maria Curie-Skłodowska University (original text suggests Master of Science) Specialized in data analysis and project management through additional postgraduate studies Her research focuses on quantitative methods in management, particularly game theory approaches for supply chain coalitions, profit allocation models, and horizontal collaboration in logistics. She has led multiple research projects including "Coordination of supply chains: a game theory approach" (2020-2022) and commercial projects for companies like SOLVERIS and Innovative Engineering. Her academic output includes 27 publications with ministerial score 868, focusing on: Collaborative logistics Supply chain optimization Decision support systems Economic disparity analysis Energy consumption modeling Statistical applications in management She has implemented educational projects for children and youth, and served as expert for international entities including the State Education Development Agency (Latvia) and Horizon 2020. Her work combines rigorous mathematical approaches with practical industry applications.

Silvia Mikschمشاهده پروفایل

استاد

• Visual Analytics
• Information Visualization
• Interaction Design
• +۶ مورد دیگر

Silvia Miksch is a Full University Professor of Visual Analytics at TU Wien's Faculty of Informatics, leading the CVAST Center. She holds a PhD from the University of Vienna and has held roles including Head of the Department of Information and Knowledge Engineering at Danube University Krems. Her research focuses on Visual Analytics, Information Visualization, Temporal Data Analysis, and Medical Informatics. She has supervised numerous PhD and Master’s students, with notable advisees including Ignacio Baltazar Pérez Messina and Davide Ceneda. Her work bridges theory and practice, addressing challenges in Visual Analytics for healthcare, business intelligence, and digital humanities. Awards include the IEEE VGTC Technical Achievement Award (2023) and induction into the IEEE Visualization Academy (2020). She actively contributes to conferences like IEEE VIS and EuroVis as program chair and steering committee member. Her projects, such as 'VisuExplore' and 'DisCo', have received recognition for advancing visualization in medical and cultural domains. Key research areas include guidance-enriched systems, network visualization, and temporal reasoning. She explores applications in fraud detection, cultural heritage analysis, and pandemic data visualization. Her lab's tools, like 'Hermes' and 'COVIs', exemplify task-driven design for real-world data challenges.

Raska Soemantoroمشاهده پروفایل

پژوهشگر

• Machine Learning
• Computer-Aided Design (CAD)
• Fusion Energy
• +۶ مورد دیگر

Raska Soemantoro is a Research Assistant at the University of Manchester's College of Engineering, Department of Mechanical and Aerospace Engineering. He is currently pursuing a PhD through the EPSRC Fusion Energy CDT, focusing on automated de-featuring of CAD geometries for simulation of complex systems. His work involves NVIDIA’s Omniverse platform and collaboration with the UK Atomic Energy Authority. Education : BEng in Aerospace Engineering (University of Manchester, 2021) MSc in Computational & Software Techniques in Engineering (Cranfield University, 2022) Research Interests center on machine learning applications for spatial and geometric analysis. Key areas include digital twin technology, CAD geometry simplification, neutronics simulation, and point cloud processing. His work aligns with UN Sustainable Development Goals related to education and computational engineering. Research Output Trends highlight collaborations across engineering software platforms, fusion energy systems (e.g., MAST-U Tokamak), and AI-driven geometric analysis. His projects involve digital twin platforms for lithium-based reactors, robotics for medical imaging, and LiDAR-based geospatial algorithms. Scientific Awards include: Best BEng Research Project (2021) Best Project Award (2022) Best Overall Achievement in MSc Computational Intelligence for Data Analytics (2023) CIUK Best Poster Prize (2024)

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.

E. Thomas Ewingمشاهده پروفایل

استاد

• Russian History
• European History
• World History
• +۷ مورد دیگر

E. Thomas Ewing is a Professor of History and the Associate Dean for Graduate Studies and Research at the College of Liberal Arts and Human Sciences, Virginia Tech. He is based in the Department of History and plays a key role in advancing interdisciplinary research and graduate education at the university. His research spans Russian, European, and world history, with a distinctive focus on the history of education, medical history, and the digital humanities. He has authored and edited several influential books on Soviet education and pandemic history. His current research investigates the transmission of information during the 1889–1890 Russian Influenza, employing digital humanities methodologies to analyze historical medical data. Ewing leads the Data in Social Context program at Virginia Tech, which integrates data analytics, computational thinking, and critical humanities inquiry into undergraduate and graduate education. Funded by the National Endowment for the Humanities, this initiative includes workshops for graduate teaching assistants and supports interdisciplinary teaching across the humanities and social sciences. His recent work emphasizes ethical dimensions of data, the societal impact of algorithms, and historical perspectives on public health crises. His publications and media engagements reflect a strong commitment to public scholarship. Notable articles in The New York Times , The Washington Post , and Fortune connect historical insights to contemporary issues such as pandemic responses and media responsibility. His research program combines rigorous historical scholarship with innovative digital methods, making significant contributions to both academic and public understanding of history in the age of data. National Endowment for the Humanities (NEH) funding for workshops on the 1918 Spanish Influenza and Images and Texts in Medical History He advises graduate students through the Data in Social Context workshop and supports interdisciplinary research training. He also coordinates the Data & Decisions Minor and collaborates with library data consultants and research groups across campus. His leadership extends to curriculum development, particularly in integrating quantitative and computational thinking with critical humanities education.

Elena GHEZZOمشاهده پروفایل

پژوهشگر ارشد

• Paleontology
• Vertebrate Paleontology
• Quaternary Sciences
• +۳ مورد دیگر

Elena Ghezzo is a Marie Curie Research Fellow at Ca' Foscari University's Department of Environmental Sciences, Computer Science and Statistics. Her current project (REFIND) focuses on Pleistocene paleontology and integrates remote sensing technologies with traditional field methods. She holds a PhD from the University of Florence (2015) and an MSc from the University of Ferrara (2011), with postgraduate training in GIScience from Padua (2016). Her research interests span vertebrate paleontology, Quaternary environmental change, and the application of geospatial technologies in fossil detection. Notable projects include taphonomic studies of the Equi cave site in the Apuane Alps and multidisciplinary analysis of Rancho La Brea megafauna extinctions. She has pioneered the use of multispectral satellite imaging for fossil site exploration and contributed to conservation strategies for museum specimens like Anthracotherium magnum. Ghezzo has been funded by major grants including the Marie Skłodowska-Curie Actions (2018-2021) and DAAD fellowships (2013). She serves on the council of the Italian Paleontological Society and actively reviews for journals like Quaternary Science Reviews and PlosOne. Her work bridges paleoecology with modern conservation, advocating for interdisciplinary approaches through initiatives like the PaiP workshop for early-career researchers. Key expertise: Felid evolution, Pleistocene ecosystems, fossil preservation, drone-based archaeology Recent focus: Fire-driven ecosystem shifts in late Pleistocene California and paleontological contributions to ecosystem service assessments

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).

• Geochemistry
• Climate change science
• Hydrology
• +۹ مورد دیگر

Gabriel Bowen is a Professor in the Department of Geology & Geophysics at the University of Utah, where he has held academic positions since 2012, advancing to full Professor in 2016. His work is centered on isotope geochemistry and its applications to Earth system science, climate, hydrology, and environmental change. His research spans climate change science, hydrology, atmospheric sciences, paleoclimatology, ecology, and forensic geolocation . He uses stable isotopes (oxygen, hydrogen, carbon, strontium) to investigate paleoenvironments, animal and human movement, groundwater dynamics, and land-atmosphere interactions. His work integrates field data, modeling, and large-scale data synthesis. His recent publications (2024–2025) reveal a strong focus on isotopic methods in environmental reconstruction , including evapotranspiration partitioning, urban water isoscapes, strontium provenance models, and paleo-CO2 reconstructions. He leads major collaborative initiatives such as IsoBank and CO2PIP , which aim to standardize and centralize isotopic and paleoclimate data. Scientific Awards: Distinguished Research Award, University of Utah (2025, 2024) Distinguished Visiting Fellowship, Tongji University (2019) Fellow, Geological Society of America (2016) James B. Macelwane Medal, American Geophysical Union (2012) Fellow, American Geophysical Union (2012) He has secured numerous grants from the National Science Foundation, American Chemical Society, and US Environmental Protection Agency , supporting research on paleoclimate, isotope systems, and environmental monitoring. He teaches courses such as Isoscapes , Carbon Cycle , and Thesis Research at both Master’s and PhD levels. He also engages in community outreach, including collaborative research with the Jordan Valley Water Conservancy District. He is actively involved in professional service, including membership on the Petroleum Research Fund Advisory Board (ACS) and the Urbino Summer School on Paleoclimatology Board of Directors .

Brad G. Peterمشاهده پروفایل

استادیار

• Environmental Remote Sensing
• Sustainable Agriculture
• Geospatial Analytics
• +۵ مورد دیگر

Brad G. Peter is an Assistant Professor in the Department of Geosciences at the University of Arkansas, specializing in environmental remote sensing and sustainable agricultural systems . As director of the Environmental GIS & Cartography Lab , his work integrates satellite/sUAS data, Google Earth Engine analytics, and geovisualization to address global challenges in agricultural land suitability, climate-smart crops, and hydrological dynamics. Ph.D. in Geography, Michigan State University B.A. in Geography, University of Texas at Austin Former postdoctoral researcher at University of Alabama FAA Certified Drone Pilot Research Foci: • Global agricultural land suitability mapping using cloud-based geospatial tools • Climate-smart crop scaling in Sub-Saharan Africa and Southeast Asia • Flood mapping and hydrological analysis via sUAS and satellite systems • Ecological niche modeling for sustainable farming systems • Multi-scale precision agriculture for smallholder farms Scientific Awards & Recognitions: Robert C. and Sandra Connor Faculty Fellowship Wally Cordes Teaching Rapport Award ASPRS Robert N. Colwell Memorial Fellow Owen Gregg Climate Change Research Award USGIF Doctoral Scholarship MSU Climate-Food-Energy-Water Research Fellow Research Collaborations & Tools: • Co-PI on WaterServ hydrological cyberinfrastructure • Collaborator in NASA LCLUC-funded Southeast Asia land transition studies • Expert in Google Earth Engine analytics and sUAS data collection • Member of Gamma Theta Upsilon, AAG, ASPRS, and NACIS

Robert Dellمشاهده پروفایل

عضو هیئت علمی

• Optimization
• Production Scheduling
• Supply Chain Design
• +۴ مورد دیگر

Robert Dell is the Chair Professor in the Department of Industrial and Systems Engineering at the University at Buffalo, School of Engineering and Applied Sciences. He also serves as Managing Director of the Collaborative Institute for Multisource Information Fusion. His research spans optimization, production scheduling, supply chain design, and professional sports analytics. Recent publications highlight his work in military logistics (aircraft maintenance planning, amphibious group routing), integer programming (web session reconstruction, pallet loading), and defense infrastructure optimization. His methodologies integrate machine learning, combinatorial optimization, and geospatial modeling. Scientific achievements include the IFORS Prize Finalist (2012) .

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.