جست‌وجوی استاد و پژوهشگر

Triantis Kostasمشاهده پروفایل

دانشیار

• Ecology
• Biogeography
• Conservation Biology
• +۶ مورد دیگر

Kostas Triantis is an Associate Professor of Biodiversity of Ecosystems at the Department of Ecology and Taxonomy, Faculty of Biology, National and Kapodistrian University of Athens. He holds a PhD from the University of Crete and has held post-doctoral positions at institutions including Oxford University and the University of Azores. His research focuses on island biogeography, macroecology, conservation biology, and the biogeography of Aegean invertebrates. He has served as a Visiting Professor at the University of Bayreuth and held roles in Greece’s Ministry of Environment. Triantis is a leading expert in land snail biodiversity and has contributed to over 70 peer-reviewed articles. Awards include Marie Curie Fellowship and editorial roles in journals like Journal of Biogeography . His work addresses species-area relationships, island ecosystems, and conservation strategies for endangered species. Current projects include understanding biodiversity patterns in the Aegean under the Anthropocene and global avian extinction dynamics. Education: PhD and MSc in Biology, University of Crete Post-doctoral fellowships at Oxford, Azores, and Patras Research Interests: Island biogeography, conservation biology, macroecology, ecological modeling, Aegean biodiversity His articles explore topics like ant biodiversity on Aegean islands, global avian functional diversity loss, and extinction debt on oceanic islands. Triantis collaborates internationally on projects such as the European Red List of terrestrial molluscs and biodiversity databases like MEDIS. He actively contributes to conservation policy through IUCN Red Listing assessments for over 200 Greek land snail species. Grants & Projects: Principal Investigator: 'Understanding the Anthropocene: the case of the Aegean Islands' (Hellenic Foundation for Research and Innovation, 2020–2023) Co-PI: 'Biodiversity on Oceanic Islands' (Portugal’s FCT, 2012–2015) Triantis leads the University of Athens’ Ecology and Taxonomy Department’s research on island ecosystems, emphasizing the interplay between ecological theory and conservation practice. His lab focuses on integrating spatial data and evolutionary dynamics to address biodiversity challenges.

George Bosilcaمشاهده پروفایل

استاد پژوهشی

• Distributed Algorithms
• Parallel Programming Paradigms
• High Performance Computing
• +۳ مورد دیگر

George Bosilca is a Research Professor at the University of Tennessee, Knoxville, affiliated with the Department of Electrical Engineering and Computer Science and the Innovative Computing Laboratory. He holds a PhD in Computer Science (University of Paris XI, 2004) and an MS in Math and Computer Science (University of Paris XI, 1999). His research focuses on distributed algorithms, parallel programming paradigms, performance modeling/optimization, and resilience in programming models. He contributes to exascale computing initiatives through projects like PaRSEC and Open MPI. Key research areas include task-based runtimes, MPI standardization for exascale systems, and fault-tolerant distributed computing. His work emphasizes scalable and portable constructs for high-performance applications. Bosilca is involved with the Innovative Computing Laboratory (ICL) and collaborates on projects like the EPEXA ecosystem and Argobots threading framework. Recent publications highlight advancements in asynchronous many-task systems, GPU-accelerated collective operations, and resilience strategies for HPC platforms. His contributions span theoretical frameworks and practical implementations, bridging algorithmic innovation with real-world HPC challenges.

Tove Helsمشاهده پروفایل

دانشیار

• Traffic Safety
• Transportation Engineering
• Road User Behavior
• +۷ مورد دیگر

Tove Hels is an Associate Professor in the Department of the Built Environment at the Faculty of Engineering and Science, Aalborg University, Denmark. She is a key member of the Traffic Research Group, focusing on transportation safety, road user behavior, and traffic policy. Her work bridges engineering, public health, and social science to improve road safety outcomes. Research Interests: Her research spans traffic safety, cyclist-motorist interactions, speed enforcement, accident risk modeling, and the impact of vehicle technologies. She investigates both infrastructure design and behavioral factors influencing road safety, with a strong emphasis on data-driven analysis and policy evaluation. The recent publications reveal a consistent focus on improving cyclist safety through infrastructure (e.g., advanced stop boxes, roundabout design), addressing under-reporting of traffic injuries, and evaluating behavioral interventions for speeding. Her work integrates epidemiological methods, statistical modeling, and real-world policy applications. Scientific Contributions: Principal Investigator in the Danmarks Trafikulykker cohort study (2025–2029) Project participant in EASE: Intervention against speed offenders (2019–2025) Author of over 29 research outputs including journal articles, reports, and policy briefs Frequent contributor to national media and advisory bodies like Dansk Vejforening Advising and Grants: While no formal students are listed, her leadership in major funded research projects indicates a supervisory role in training junior researchers. She has secured and contributed to significant research grants related to traffic safety monitoring and intervention evaluation. Labs and Teams: She is part of the Traffic Research Group at Aalborg University, collaborating closely with researchers such as H. Lahrmann, T.K.O. Madsen, and A.V. Olesen. The group conducts field studies, data linkage projects, and policy evaluations with national impact.

John McGeeمشاهده پروفایل

استاد

• Natural Resource Management
• Geospatial Applications
• Technology Transfer

Dr. John McGee serves as Professor and Geospatial Extension Specialist in the Department of Forest Resources and Environmental Conservation at Virginia Polytechnic Institute and State University (Virginia Tech), within the College of Natural Resources and Environment. He holds a B.A. from the University of North Carolina Chapel Hill (1988), M.A. from the University of North Carolina Charlotte (1992), and Ph.D. from the University of Massachusetts Amherst (1997). VirginiaView (www.virginiaview.net) GeoTEd (www.geoted.org) Virginia Geospatial Extension Program (http://gep.frec.vt.edu/) Urban Tree Canopy Program (http://gep.frec.vt.edu/va_utc.html) Dr. McGee's research focuses on Natural Resource Management, Geospatial Applications, and Technology Transfer, with particular emphasis on practical applications of geospatial technologies in urban forestry, natural resource management, and education. His scholarly work demonstrates consistent integration of academic research with community-based applications, particularly through the development of decision support tools for local governments assessing urban tree canopy and creating accessible educational resources for diverse audiences. His publications reveal strong thematic patterns across geospatial education, urban forestry applications, and sustainable tourism research. The most recent works emphasize workforce development through geospatial technician education, innovative educational approaches using geocoins and web-based mapping, and interdisciplinary applications of GPS tracking in tourism research. Distinguished Geospatial Education Partner Award (2015) AmericaView Education Award (2013) Virginia Tech XCaliber Award (Team Nomination, 2014) Special Achievement in GIS Award (SAG) (2004) Dr. McGee has directed significant extension efforts including the Virginia Geospatial Extension Program, which has conducted over 100 workshops between 2009-2014, directly training more than 1,300 individuals with multiplied impact through 'train the trainer' approaches. He co-founded Virginia's first formal geospatial mentoring program and serves as Co-PI of VirginiaView, coordinating national geospatial education initiatives through AmericaView while maintaining seven professional listservs and social media resources.

Fariba Karimiمشاهده پروفایل

استاد

• Algorithmic Fairness
• Computational Social Science
• Network Science
• +۷ مورد دیگر

Fariba Karimi is a Professor of Social Data Science at Graz University of Technology and leads the Algorithmic Fairness research group at the Complexity Science Hub (CSH) in Vienna. Her work sits at the intersection of computational social science, network science, and AI ethics, with a strong focus on fairness, inequality, and bias in algorithmic systems. She holds a PhD in Physics and Computational Science from Umeå University, Sweden (2015), and was a Postdoctoral Researcher at GESIS – Leibniz Institute for Social Sciences, Germany. Her research combines large-scale data analysis, agent-based modeling, and network science to study how social structures and algorithms interact to shape disparities, particularly for underrepresented groups. Computational Social Science Algorithmic Fairness and Bias Network Science and Homophily Digital Humanism Urban Inequality and Implicit Bias Gender and Age Equity in Academia Her recent publications reveal a consistent focus on understanding and mitigating algorithmic and structural inequities. Themes include the visibility of minorities in networks, the impact of segregation on health and cognition, gender citation gaps in physics, and the development of fair ranking and recommendation systems. She employs interdisciplinary methods to analyze both digital and real-world social systems. Fariba Karimi has received several prestigious recognitions, including: Young Scientist Award from the German Physical Society (2023) ERC Starting Grant (2024) Nomination for the Hedy Lamarr Award (2021) She leads the 'Humanized Algorithms' project at CSH, funded by the ERC, and co-leads an EU Horizon project (MAMMOth) on multi-criteria fairness in AI. She advises PhD researchers such as Lisette Espín-Noboa and collaborates with institutions like the University of Mannheim and the Centre for Social Sciences. Her work contributes to both academic knowledge and practical solutions for fairer AI systems and more equitable societies.

Diego Patiñoمشاهده پروفایل

استادیار

• Machine Learning
• Geometric Computer Vision
• 3D Reconstruction
• +۷ مورد دیگر

Diego Patiño is an Assistant Professor in the Department of Computer Science and Engineering at the University of Texas at Arlington (UTA), a position he began in September 2024. He earned his Ph.D. in Computer Engineering from the National University of Colombia in 2020, following M.S. and B.S. degrees from the same institution. Prior to joining UTA, he served as a Postdoctoral Fellow at Drexel University and a Postdoctoral Researcher at the GRASP Laboratory, University of Pennsylvania. B.S. in Computer Engineering, National University of Colombia, 2010 M.S. in Computer Engineering, National University of Colombia, 2012 Ph.D. in Computer Engineering, National University of Colombia, 2020 Dr. Patiño's research centers on geometric computer vision and machine learning, with applications in robotics and 3D vision. His primary interests include 3D reconstruction, graph neural networks, symmetry detection, physics-informed machine learning, and reinforcement learning. He develops algorithms that integrate geometric priors and physical constraints into deep learning models to improve robustness and generalization in real-world robotic systems. His recent publications demonstrate a strong trend in leveraging implicit neural representations for 3D shape reconstruction, applying graph neural networks to swarm robotics, and enhancing computer vision tasks with self-supervised and physics-informed learning. Work spans high-impact venues such as IEEE RA-L, ICRA, ICPR, and MICCAI, showing a consistent focus on geometric reasoning, robotic perception, and medical imaging applications. His scientific contributions have been recognized with awards from the UTA Division of Student Affairs for exceptional dedication and positive impact (2024 and 2025). He is actively involved in securing research funding, with multiple grants under review from NSF, Air Force SBIR, and industry partners like Sony. Exceptional dedication and positive impact recognition, UTA Division of Student Affairs (December 9, 2024) Exceptional dedication and positive impact recognition, UTA Division of Student Affairs (April 30, 2025) Dr. Patiño advises and serves on committees for multiple graduate students in computer science and engineering, including doctoral and master’s candidates. He is also leading or co-leading several research grants under review, covering topics such as aerial swarm navigation, neuromorphic sensing, and industrial computer vision. He teaches graduate courses in computer vision and is involved in service roles including PhD admissions and faculty appointments committees. He is affiliated with research initiatives at UTA, including the UTARI Research Institute, where he has presented on geometric modeling and physics-informed learning. His lab focuses on developing next-generation computer vision algorithms for robotics, industrial inspection, and safety-critical systems.

• Databases
• Spatial Data Management
• Geospatial Systems
• +۳ مورد دیگر

Mohamed Sarwat is an Associate Professor at Arizona State University specializing in databases , spatial data management , and recommender systems . His research focuses on GeoSpark —a cluster computing framework for spatial data—and its extensions like GeoSparkViz for visualization and GeoSparkSim for traffic simulation. Key Contributions: LARS* (Location-Aware Recommender System), Horton* (Graph Reachability), Sindbad (GeoSocial Platform), and Riso-Tree (Graph Database Indexing) Research Themes: Integration of spatial/temporal data with machine learning, efficient indexing for big geospatial datasets, and scalable frameworks for mobility data science His work spans collaborations with 23+ co-authors across institutions like University of Minnesota, University of Melbourne, and University of Salzburg. Current projects emphasize GeoTorchAI —a spatiotemporal deep learning system—and mobility data science infrastructure.

Marina Ungerمشاهده پروفایل

پژوهشگر

• Archaeology
• History of Archaeology
• Media in Archaeology
• +۴ مورد دیگر

Marina Unger is a scientific collaborator at the Photographic Collection of the Bibliotheca Hertziana – Max Planck Institute for Art History since February 2025. She studied Classical Archaeology and Art History at Philipps University of Marburg, University of Naples ‘L'Orientale’, and Humboldt University of Berlin, earning a Magister Artium in 2010. In 2020–2021, she completed a Master’s degree in Literary Translation for Italian at Ludwig Maximilian University in Munich. Her current doctoral thesis focuses on Greek vase drawings within the archaeological apparatus of the Instituto di Corrispondenza Archeologica in Rome. Education: Magister Artium (Humboldt University, 2010), Master’s in Literary Translation (LMU Munich, 2021) Her research bridges archaeology , media history , and archival studies , emphasizing nineteenth-century documentation practices like vase drawings and early photography. She contributes to provenance research and digital humanities projects. Recent work includes the DFG-funded Gelehrte, Ausgräber und Kunsthändler project, analyzing the networks of the German Archaeological Institute through correspondence and linked data infrastructure. Collaborations span institutions like the German Archaeological Institute (DAI) and Scuola Normale Superiore in Pisa, with publications on Etruscan tomb paintings, Greek vases, and antiquities trade dynamics. Prior roles include: student assistant at Bildarchiv Foto Marburg, IT department member at Kunsthistorisches Institut in Florence, and research assistant at DAI Archives in Berlin. She has also worked as a freelance translator/editor and project manager.

Awi Federgruenمشاهده پروفایل

استاد

• Supply Chain Management
• Logistical Systems
• Operations Strategy
• +۷ مورد دیگر

Awi Federgruen is the Charles E. Exley Professor of Management and Chair of the Decision, Risk, and Operations (DRO) Division at Columbia University’s Graduate School of Business. He joined Columbia’s faculty in 1979 after earning his DSc in Operations Research from the University of Amsterdam and holding roles as a Research Fellow at the Mathematical Centre in Amsterdam and faculty member at the University of Rochester. He also holds a courtesy appointment in Columbia’s School of Engineering and Applied Sciences. Education: BA, University of Amsterdam, 1972 MS, University of Amsterdam, 1975 DSc (Operations Research), University of Amsterdam, 1978 Research Interests: Federgruen’s work focuses on optimizing supply chain and service systems through advanced operations research methodologies. Key areas include supply chain coordination, inventory management under uncertainty, service system design, and dynamic pricing. His theoretical contributions span applied probability, queuing models, and dynamic programming. Recent applications include pharmaceutical supply chains, healthcare operations, and vaccine distribution strategies. Awards & Recognition: 2004 Distinguished Fellowship Award (MSOM Society) INFORMS Presidential Fellow (highest honor) National Science Foundation & ARPA grants Consulting & Industry Impact: Federgruen advises companies in pharmaceuticals, consumer electronics, and logistics. Notably, he developed marketing mix models for the pharmaceutical industry and advised the Israeli Air Force on logistics policies. His work bridges academic theory with real-world applications in industries like retail, healthcare, and transportation. Editorial Roles: Editor-in-Chief of Naval Research Logistics ; former Departmental Editor for Manufacturing & Service Operations Management and Associate Editor of Operations Research .

Anders Brandtمشاهده پروفایل

دانشیار

• Geospatial Information Science
• Flood Risk Mapping
• Uncertainty Analysis in Environmental Modeling
• +۶ مورد دیگر

Anders Brandt is an Associate Professor (Docent) in Geospatial Information Science and Senior Lecturer in Geomatics at the University of Gävle, Sweden, within the Department of Computer and Geospatial Sciences under the Faculty of Engineering and Sustainable Development. His research focuses on flood risk mapping uncertainties, agent-based modeling of pedestrian movement, and spatial decision-support systems for sustainable urban planning. He holds a PhD in Physical Geography from the University of Copenhagen and has extensive international collaboration experience. Education: PhD in Physical Geography (University of Copenhagen, Denmark), focusing on fluvial geomorphology of Costa Rica’s Reventazón River Master’s Degree in Physical Geography (Uppsala University, Sweden) Research Interests: Brandt’s work addresses uncertainties in flood modeling, spatial decision analysis, and geospatial data applications for urban resilience. His projects include the 'Big Data Methodology for Experiential and Cognitively Sustainable Urban Growth' initiative, emphasizing ecosystem service mapping and spatial MCDA methods. His agent-based modeling research explores emergent urban path systems to optimize pedestrian infrastructure. Publications Trends: Recent work spans flood risk visualization, blue-green infrastructure roles in climate resilience, and urban form complexity metrics. His 2025 papers highlight innovative applications of agent-based modeling and systematic reviews of climate hazard mitigation strategies. Advising & Grants: While no formal advisee list is provided, his collaborative publications suggest involvement in student projects. His grants include international initiatives like Mongolia’s land administration capacity-building programs. Labs/Teams: Co-founded GeoVega , a consulting firm specializing in flood risk mapping and geospatial solutions. Active in educational initiatives like harmonizing GIS curricula in Swedish universities.

Hannu Hyyppäمشاهده پروفایل

پژوهشگر

• Laser Scanning
• 3D Modeling
• Geoinformatics
• +۵ مورد دیگر

Hannu Hyyppä is a Research Director and Project Employee at Aalto University's Department of Built Environment, affiliated with the MeMo research group. He leads the Research Institute of Measuring and Modelling for the Built Environment, focusing on advanced laser scanning, 3D modeling, and geoinformatics. His work spans interdisciplinary collaborations across engineering, geography, and arts, with a strong emphasis on applications in cultural heritage preservation, urban planning, and environmental monitoring. Education: Doctoral degree (D.Sc.) in Engineering and Technology, Helsinki University of Technology (2000) Licentiate degree in Engineering and Technology, Helsinki University of Technology (1989) Master's degree in Engineering and Technology, Helsinki University of Technology (1986) Research Interests: Laser scanning technologies, point cloud utilization in forestry and urban mapping, virtual reality for cultural heritage, and sustainable infrastructure modeling. His expertise includes photogrammetry, geographic information systems (GIS), and decision support systems for environmental management. Recent Contributions: Over 550 publications and 30+ active projects, including the Centre of Excellence in Laser Scanning Research (2014-2019) and the Pointcloud project (2015-2021). His work advances applications in autonomous road inspection, 3D cultural reconstructions, and smart city technologies. Awards: Recipient of the 2019 Kansallinen avoimen tieteen palkinto for innovative open science contributions. Grants & Leadership: Principal Investigator for projects like DICA (Digital Cultural Heritage) and ToToRo (Automatic Road Inspection). Active in organizing workshops and international conferences on 3D technologies and laser scanning. Labs/Teams: Oversees the MeMo group and collaborates with national organizations like the Finnish Geospatial Research Institute. Develops tools for real-time 3D mapping and virtual environments.

Kristen S. Kurlandمشاهده پروفایل

استاد

• Geographic Information Systems (GIS)
• Health Informatics
• Urban Design
• +۸ مورد دیگر

Kristen S. Kurland is a University Professor at Carnegie Mellon University (CMU), holding appointments in the H. John Heinz III College of Information Systems and Public Policy, the School of Architecture, and a courtesy appointment in the Civil and Environmental Engineering Department. She also serves as an adjunct faculty member at the University of Pittsburgh School of Medicine. Her roles include chairing the Geographical and Geospatial Sciences Committee of The National Academies of Sciences, Engineering, and Medicine, and serving on the Board on Earth Sciences and Resources. Her teaching focuses on GIS, Building Information Modeling (BIM), CAD, and 3D visualization, with courses at Heinz College targeting executive physicians and healthcare management students. Research interests span health and urban systems, geospatial analytics, machine learning, and smart cities. She actively collaborates with healthcare, government, and industry partners globally. Notable awards include the 2020 Carlow University Women of Spirit Award, 2012 Esri Health Communications Award, and multiple teaching accolades. Her funded research includes projects on urban quality of life, 3D visualization, and pediatric healthcare access funded by The Heinz Endowments, Deloitte Foundation, and others. Kurland advises numerous PhD students across architecture, civil engineering, and public policy, and leads grants addressing spatial health equity, urban design, and geospatial innovation. She is co-author of bestselling GIS workbooks like GIS Tutorial for Health and a frequent keynote speaker on geospatial technologies.

• Forest Inventory and Monitoring
• LiDAR Technology Applications
• Forest Regeneration Quantification
• +۳ مورد دیگر

Tobias Ofner-Graff is a researcher at the Institute of Forest Growth within the Department of Ecosystem Management, Climate and Biodiversity at the University of Natural Resources and Life Sciences, Vienna (BOKU). Based at Peter-Jordan-Straße 82, 1190 Wien, his work focuses on advanced forest monitoring technologies. His research interests include: LiDAR and remote sensing applications in forestry Automated forest inventory systems Forest regeneration quantification Airborne Laser Scanning (ALS) data analysis Sustainable forest harvesting planning Recent project contributions include: Leading lidar-based forest monitoring systems development Developing spatial forest growth models Implementing digital inventory workflows His publications demonstrate expertise in: Quantifying forest resources through 3D point clouds Advanced timber stack measurement techniques ALS data integration for forest modeling Mobile laser scanning applications Forest climate adaptation strategies

Erik Linsteadمشاهده پروفایل

دانشیار

• Machine Learning
• GPU Programming
• Autism Spectrum Disorder
• +۵ مورد دیگر

Dr. Erik Linstead is an Associate Professor and Senior Associate Dean at Chapman University, affiliated with the Fowler School of Engineering, School of Pharmacy, and George L. Argyros College of Business and Economics. His expertise spans Machine Learning, GPU Programming, Autism Spectrum Disorder, Assistive Technologies, Predictive Analytics, and Virtual Reality. Education: Bachelor of Science, Chapman University Master of Science, Stanford University Ph.D., University of California, Irvine Dr. Linstead's research integrates machine learning with diverse domains, including autism treatment, environmental monitoring, and software engineering. His recent publications focus on coral reef health, land surface temperature trends, and embedded machine learning systems. His scholarly work includes collaborations in remote sensing, medical informatics, and neurodiversity support. Articles highlight his interdisciplinary approach, applying AI to ecological challenges (e.g., Red Sea coral reefs, Nile Basin droughts) and human-centered technologies (e.g., VR therapy for autism, medication adherence analysis).

• Hydrogen Energy Storage
• Negative Emissions Technologies
• Life Cycle Assessment
• +۷ مورد دیگر

Hanna Breunig is a Research Scientist at Lawrence Berkeley National Laboratory and Deputy of the Sustainable Energy & Environmental Systems Department. She holds a secondary appointment in the Earth Systems and Society Domain within the Climate and Ecosystem Science Division. Her work focuses on validating emerging energy technologies through process design, techno-economic modeling, and market analysis. Education: PhD in Civil and Environmental Engineering from UC Berkeley (2015), MSc (2011), and BSc from Cornell University (2010). Her research spans hydrogen storage , CO2 capture/utilization , brine management , and technoeconomic modeling for systems in data centers, hospitals, mines, aviation, and ports. She co-leads the DOE HyMARC consortium and the systems analysis team for the ARCHES California Hydrogen Hub. Recent publications highlight advancements in metal-organic frameworks (MOFs) for hydrogen storage, solar hydrogen production , and high-temperature thermal energy storage . She has received accolades like the 2023 Energy & Environmental Science Lectureship and 2014 Schmidt MacArthur Fellowship. Scientific Awards: 2023 Energy & Environmental Science Lectureship 2021 Early Scientific Career Award 2019 CEC Bioenergy Project Leadership 2017 LDRD Early Career Award 2014 Schmidt MacArthur Fellowship Hanna mentors graduate and undergraduate students and contributes to tools like the BioSiting v2 software for U.S. bioeconomy resource analysis.