جست‌وجوی استاد و پژوهشگر

• Wireless Networks
• Mobile Computing
• Smart Grid Systems
• +۴ مورد دیگر

Vincent Gauthier is a Professor at Telecom Paris, part of Institut Polytechnique de Paris, with a distinguished research career spanning over two decades in mobile network analysis, urban mobility modeling, and smart infrastructure systems. His research portfolio demonstrates deep expertise in leveraging mobile network metadata for urban population estimation, transportation optimization, and smart grid applications. Dr. Gauthier's research interests center on wireless networks, mobile computing, smart grid systems, urban mobility analysis, and electric vehicle infrastructure. His work bridges theoretical network modeling with practical urban applications, particularly evident in his studies of mobility patterns in Paris and Peru. His research methodology combines mobile network metadata analysis with advanced computational techniques to address urban infrastructure challenges. His recent publication trends show a strategic pivot toward sustainable transportation solutions, with multiple 2024-2025 publications focusing on electric vehicle charging infrastructure optimization. Earlier work established foundational contributions to understanding urban dynamics through mobile network data, with significant publications on population estimation and transport mode detection. His research consistently demonstrates interdisciplinary approaches, connecting telecommunications engineering with urban planning and environmental sustainability. Dr. Gauthier has maintained long-term collaborations with researchers including Monique Becker, Michel Marot, and Hassine Moungla, with whom he has co-authored numerous publications over multiple years. His work shows particular strength in applications to Peru and other LMIC countries, reflecting a commitment to globally relevant research. His research methodology combines theoretical network modeling with practical urban applications, particularly evident in his studies of mobility patterns in Paris and Peru. His work bridges telecommunications engineering with urban planning and environmental sustainability, creating impactful solutions for modern cities.

Alexander Hambleyمشاهده پروفایل

پژوهشگر

• Human-Centered AI
• Web Accessibility
• Human-Computer Interaction
• +۴ مورد دیگر

Alexander Hambley is a Senior Research Software Engineer at the eScience Lab within the Department of Computer Science, focusing on developing computational tools for efficient research practices, particularly in web accessibility and Human-Centered AI. He contributes to the HDR UK Federated Analytics project, emphasizing FAIR principles. Previously, he served as an Associate Lecturer at The Open University and held roles at the University of Leeds. Education: PhD in Computer Science, University of Manchester (Research in web accessibility and machine learning) BSc (Hons) Computer Science, University of Nottingham (First Class) Research interests include Human-Centered AI, Web Accessibility, Human-Computer Interaction, and Open Science. His work bridges assistive technologies for visually impaired users and data-driven approaches to enhance accessibility evaluation via clustering and optimization methods. Key trends in his articles focus on workflow systems, accessibility tool development, and integrating machine learning for efficient auditing. His contributions span both technical software tools (e.g., OPTIMAL-EM) and collaborative projects like WorkflowHub Knowledge Graph. Honors include the Best Communication Paper at W4A 2022. His professional activities include founding Build Humanly, an inclusive web design agency, and affiliations with the Information Management Group and Interaction Analysis and Modelling Laboratory.

• Power Systems Engineering
• Climate Risk Management
• Nuclear Energy Safety
• +۳ مورد دیگر

Dr. Andrej Stankovski is a researcher at the Reliability and Risk Engineering department of ETH Zürich. His work focuses on assessing risks and reliability in critical infrastructure systems, particularly power grids and nuclear energy facilities. Key research areas include climate risk quantification, cascading failure analysis, and socio-technical vulnerabilities in energy systems. He has developed novel methodologies for blackout event analysis and maintains a curated database of nuclear safety incidents. His research integrates multi-disciplinary approaches combining probabilistic modeling, data analytics, and socio-technical systems thinking. Notable contributions include frameworks for energy transition impact assessment, cross-sector climate risk comparisons, and multi-hazard security evaluations of transmission systems. Dr. Stankovski collaborates with industry partners and policymakers to translate technical insights into actionable resilience strategies. Publications span high-impact journals and conference proceedings, with a focus on empirical analyses of blackout events, nuclear fuel cycle optimization, and infrastructure vulnerability mapping. His work frequently addresses the intersection of technical systems and societal impacts, emphasizing equitable energy access and disaster resilience for vulnerable populations.

• Scientific Data Management
• FAIR Principles
• Multidisciplinary Data Integration
• +۳ مورد دیگر

Dr. Janine Felden is a Group Leader at the PANGAEA Data Publisher for Earth & Environmental Science under the Alfred Wegener Institute (AWI). Her primary role involves advancing scientific data management and ensuring adherence to FAIR principles (Findable, Accessible, Interoperable, Reusable) for multidisciplinary datasets. She leads efforts to integrate georeferenced data from polar and marine research into PANGAEA's repository, supporting open science and data accessibility. Her research focuses on enhancing data interoperability and metadata standards, particularly in marine geosciences and environmental studies. Key contributions include developing frameworks for seismic data archiving, metadata concepts for OBS (Ocean Bottom Seismometers), and strategies to safeguard endangered datasets (e.g., NOAA data rescue initiatives). Recent projects include organizing workshops on data retrieval and integration with Jupyter Notebooks. Felden’s work bridges technical and scientific domains, emphasizing collaboration across disciplines. Her team actively participates in international initiatives like the World Data System and contributes to policy discussions on polar contaminants and deep-sea mining impacts. PANGAEA’s infrastructure, managed by her team, serves as a cornerstone for global Earth system research, enabling reproducible science and long-term data preservation.

• Coral Reef Restoration
• Marine Ecosystem Restoration
• Oyster Reef Ecology
• +۳ مورد دیگر

Ian Michael McLeod is a Research Fellow at James Cook University's College of Science and Engineering, specializing in marine ecosystem restoration. His work bridges ecological science and practical application through leadership in Australia's national restoration initiatives including the Reef Restoration and Adaptation Program (RRAP) and UN Decade on Ecosystem Restoration efforts. His research focuses on developing scalable coral and oyster reef restoration techniques resilient to climate change. Key projects include: Macroalgae removal protocols enhancing coral recruitment (Journal of Applied Ecology 2023) National restoration database development for Australia and New Zealand Socio-ecological assessments of community-led oyster garden initiatives International standardization of coral restoration terminologies Analysis of his 15 most recent publications shows dominant research themes in intervention ecology (62%), restoration policy (28%), and socio-ecological systems (10%), with increasing emphasis on climate adaptation since 2022. His work consistently demonstrates practical pathways for scaling restoration from pilot projects to national programs. Key recognitions include: Architect of Australia's National Restoration Roadmap (2024) Lead contributor to UN Decade on Ecosystem Restoration Darwin Agreement Development of international coral restoration terminology standards McLeod actively supervises HDR students through collaborative projects with Traditional Owners and government agencies. His research is funded through the Reef Restoration and Adaptation Program, National Environmental Science Program, and partnerships with The Nature Conservancy. Current initiatives focus on developing climate-resilient restoration techniques and policy frameworks for national-scale implementation across Australia's marine environments.

• Historical GIS
• Administrative Unit Ontologies
• Historical Gazetteers
• +۳ مورد دیگر

Dr. Paula Aucott is a Senior Research Associate at the University of Portsmouth's Faculty of Science & Health, School of the Environment and Life Sciences. She holds a PhD in Geography, MSc in Geographical Information Systems (Portsmouth), MA (Leicester), and undergraduate degree (Birmingham). Since joining Portsmouth, she has been a key member of the Great Britain Historical GIS Project team. Research Focus: Her work spans Historical GIS development, administrative unit ontologies, historical gazetteers, land use change, and medieval landscape analysis. She specializes in creating long-term spatial datasets for statistical mapping and developing database systems for historical administrative hierarchies. Publications: Her 36+ outputs show strong focus on historical geography (55%), political analysis (25%), and environmental studies (20%), with recent work on electoral patterns and climate impacts reflecting interdisciplinary expansion. Education PhD Geography, University of Portsmouth MSc Geographical Information Systems, University of Portsmouth MA, University of Leicester Undergraduate Degree, University of Birmingham Active Projects DDME (2024-25): Applying ML to social science databases (ESRC-funded) Gazetteers and frameworks : Multi-source spatial ontology development A Vision of Britain through Time : Historical data platform expansion

Jeffrey McClurkenمشاهده پروفایل

استاد

• Digital Humanities
• American History
• Gender Studies
• +۳ مورد دیگر

Jeffrey McClurken is Professor and Special Assistant to the Provost for Teaching, Technology, and Innovation at the University of Mary Washington's Department of History and American Studies. A Mary Washington College alumnus (BA History, 1994), he holds an MA (1997) and PhD (2003) in American History from Johns Hopkins University. His research examines the long-term societal impacts of historical events, with expertise in 19th-century American social/cultural history, digital humanities, gender studies, and technological change. McClurken's research investigates intersections of technology, memory, and society in American history, particularly through digital methodologies. His work emphasizes: Digital reconstructions of historical narratives (e.g., Confederate veteran families, Civil War legacies) Pedagogical innovation in digital archives and public history Gender dynamics in post-war societal structures Community-engaged digital scholarship models His publications demonstrate consistent thematic focus on digital pedagogy, historical memory, and archival access. Recent works prioritize undergraduate research in digital humanities, collaborative project design, and innovative teaching frameworks, reflecting his administrative role in educational technology. Awards & Honors: Nominated for Library of Virginia Literary Award Nominated for Jefferson Davis Award of the Museum of the Confederacy As Special Assistant to the Provost, he leads institution-wide initiatives in teaching innovation and technology integration. His digital humanities lab develops open-access projects like Remembering Lincoln and Civil War Apps, emphasizing public engagement and student participation. He directs undergraduate research programs that bridge historical scholarship with digital tool development.

• Natural Language Processing
• Machine Learning
• Computational Linguistics
• +۷ مورد دیگر

Fernando Benites de Azevedo e Souza is a researcher at Zurich University of Applied Sciences (ZHAW) specializing in Natural Language Processing (NLP) and text analytics. He collaborates across disciplines including cultural management, speech recognition, and low-resource language technologies. Key research areas: NLP applications in arts management, speech-to-text systems, and German dialect identification Active in SwissNLP community and VarDial conference series Focus on practical implementations: e-assessment integrity, transliteration resources, and resource-constrained deep learning His work demonstrates technical expertise in: Comparative analysis of ASR systems (CEASR corpus) Transliteration pattern detection (TRANSLIT resource) Dialect identification challenges Combining lexical and sentiment analysis Scientific achievements include: Ranked first in ALTA 2018 patent classification competition Multiple top-three finishes at VarDial evaluations First place in GermEval 2020 low-resource speech recognition task

• Cybersecurity
• Intrusion Detection
• Anomaly Detection
• +۵ مورد دیگر

Grzegorz Kołaczek is a faculty member at the Faculty of Information and Communication Technology at Wrocław University of Science and Technology, affiliated with the Department of Computer Science and Systems Engineering . His research focuses on cybersecurity , intrusion detection , and security modeling with specific interests in Trust-based security frameworks IoT cybersecurity Anonymity protocols Fraud detection in digital systems . His recent publications emphasize the intersection of cybersecurity and emerging technologies , particularly in Internet of Things environments and e-commerce platforms. Key research trends include collaborative intrusion detection , adaptive user interfaces , and machine learning for threat analysis . Contact: grzegorz.kolaczek@pwr.edu.pl

• Semantic Web
• Linked Open Data
• Digital Humanities
• +۳ مورد دیگر

Esko Ikkala is a Doctoral Candidate and Researcher at Aalto University's Department of Computer Science (School of Science). His work focuses on Linked Open Data, Semantic Web technologies, and their applications in Digital Humanities, Cultural Heritage informatics, and archaeological data management. He is actively involved in developing frameworks like Sampo-UI for semantic portal interfaces and has contributed to major projects such as WarSampo, FindSampo, and LawSampo, which integrate historical and legal data into knowledge graphs. His research bridges computer science with humanities, emphasizing data harmonization, citizen science, and semantic technologies for cultural heritage preservation. Key affiliations include the SeCo Research Group (Semantic Computing) at Aalto University, where he collaborates on projects like Mapping Manuscript Migrations and WarMemoirSampo. His educational background includes an M.Sc. (Tech) and ongoing doctoral studies in Computer Science, reflecting a strong foundation in both technical and humanities-oriented research. Research interests span semantic portals, ontology engineering, faceted search interfaces, and the application of AI techniques like NER for historical data enrichment. He has co-developed frameworks for managing archaeological finds (FindSampo), reassembling prisoner of war biographies, and visualizing parliamentary speeches through Linked Data. His work emphasizes sustainability, collaboration, and the democratization of access to cultural and historical data through open standards. Notable contributions include the Sampo-UI JavaScript framework, the WarSampo knowledge graph (with 14 million triples), and the FindSampo platform for archaeological citizen science. He has published extensively in venues like ISWC, ESWC, and Digital Humanities conferences, focusing on interdisciplinary applications of semantic technologies.

• Semantic Web
• Digital Humanities
• Cultural Heritage Informatics
• +۵ مورد دیگر

Heikki Rantala is a researcher at the Department of Computer Science, Aalto University, specializing in semantic web technologies and digital humanities. He is actively involved in developing knowledge graph-based systems for cultural heritage research, including projects like FindSampo, CoinSampo, and OperaSampo. His work focuses on integrating historical datasets, creating semantic portals, and enabling faceted search in cultural heritage domains. Rantala holds an MSc in Computer Science from the University of Helsinki (2019) and has contributed to over 50 peer-reviewed publications since 2018. Key Projects: FindSampo: Analyzes archaeological finds using linked open data CoinSampo: Numismatic data portal for historical currency analysis BiographySampo: Biographical knowledge graph for historical人物研究 ParliamentSampo: Parliamentary data system for legislative analysis Research Interests: His work spans semantic web frameworks, digital humanities infrastructure, and historical data modeling. He emphasizes interoperability through ontology development and user-centric semantic portals. Technical Expertise: SPARQL endpoint integration, faceted search systems, knowledge graph construction, and cross-domain data harmonization. His tools like Sampo-UI provide reusable frameworks for semantic portal development. Grants & Collaborations: Active in EU-funded initiatives like FIN-CLARIAH and international projects with organizations such as the National Library of Finland and cultural heritage institutions.

• Wireless Communications
• Precision Agriculture
• Infrastructure Sensing
• +۳ مورد دیگر

James Krogmeier is an Associate Dean for Facilities and Planning and Professor of Electrical and Computer Engineering at Purdue University. He holds affiliations across multiple departments including Agricultural & Biological Engineering, Civil and Construction Engineering, and the School of Electrical and Computer Engineering. His administrative roles include membership in the Engineering Leadership Team, Engineering Cabinet, Space Planning and Allocation Committee, CoE Safety Committee, and Facilities Committee. His research focuses on interdisciplinary engineering challenges at the intersection of wireless communications, precision agriculture, and infrastructure monitoring. Key areas include IoT-enabled agricultural systems, pavement integrity assessment using radar data, and waveform design for advanced communication systems. He has contributed to projects like Meta Ag (automated agricultural metadata collection) and OATSMobile (underground sensor data hubs). His work integrates field data from telematics, GPS, and sensor networks to improve decision-making in agriculture and transportation. Recent trends in his publications show strong emphasis on practical applications of machine learning in infrastructure monitoring, rural IoT connectivity, and autonomous systems in farming. While no formal awards are listed, his extensive list of publications reflects sustained impact in his fields. His advising record shows no listed students, though collaborations with industry partners (e.g., on snowplow tracking systems) suggest applied research focus. He leads development of tools like the Pavement Patching Management software and ISOBlue HD agricultural data platforms. Labs/teams: Active involvement in Purdue's agricultural IoT initiatives, transportation infrastructure research groups, and wireless communication laboratories. His work bridges academia and practical applications through partnerships with departments across multiple engineering disciplines.

Ching-yu Huangمشاهده پروفایل

دانشیار

• Bioinformatics
• Data Mining
• Image Processing
• +۶ مورد دیگر

Ching-yu Huang is an Associate Professor in the Department of Computer Science and Technology at Kean University within the College of Science, Mathematics and Technology. With a Ph.D. in Computer and Information Sciences from NJIT, he bridges industry experience in Finance, Telecommunications, and Biotechnology with academic roles, focusing on data mining, image processing, and educational technology. Education : Ph.D. (NJIT, 1998), M.S. (NJIT, 1993), B.Eng. (Tamkang University, 1990) Research Interests span bioinformatics (SNP genotype calling), data mining, image processing, GIS, and cyber-learning. His work integrates machine learning with practical applications in medical imaging, social media analysis, and educational tools. Publication Trends show expertise in data analytics for public health, geospatial systems, and educational technologies, with recent studies on pandemic impacts, blockchain, and AI-driven visualization tools. Collaborations with students highlight real-world problem-solving. Scientific Awards : NSF Grant Co-PI (2025-2029) Kean Presidential Excellence in Teaching (2023) NSF DUE Grant Co-PI (2021-2026) Multiple SpF and STEMPact Awards (2017-2023) Teaching & Grants : Courses include Data Mining, Database Systems, and Unix Programming. He has secured significant NSF funding for cybersecurity and data science education, mentoring over 20 students in research initiatives. Labs & Teams : Faculty advisor for Code Samurai peer-tutoring Collaborator in NIH UMDNJ research Co-PI in NSF grants for educational innovation

Ana-Maria Olteanu-Raimondمشاهده پروفایل

پژوهشگر

• Geographic Information Science
• Volunteered Geographic Information
• Citizen Science
• +۷ مورد دیگر

Ana-Maria Olteanu-Raimond is a Senior Researcher (Directrice de Recherche DR2) at the Institut National de l'Information Géographique et Forestière (IGN), where she co-directs the LASTIG Laboratory and leads the MEIG research team. She is actively involved in national and international research projects, including ANR IntForOut (2024–2027), and has previously coordinated ANR CHOUCAS and H2020 LandSense. She teaches in the M2IGAST Master program at ENSG, focusing on spatial statistics and geographic data quality. Her educational background includes a PhD in Geographical Information Science from Université Paris-Est (2008) and a Habilitation (HDR) from Université Gustave Eiffel (2020) on the integration of Volunteered Geographic Information with institutional data. Her research interests center on Volunteered Geographic Information (VGI) , citizen science , spatial data quality , fuzzy spatial reasoning , and the integration of heterogeneous geographic data . She explores how crowdsourced data can enhance authoritative datasets, particularly in urban monitoring, land use classification, and emergency response in mountainous regions. The recent articles highlight a strong trend in integrating multi-source data for land use and land cover mapping, assessing VGI quality, developing ontologies for emergency response, and advancing spatial analysis techniques such as network evolution and polygon matching. Her work bridges theoretical GIS advancements with practical applications in urban planning, environmental monitoring, and public safety. ANR IntForOut (2024–2027): Integration of multisource spatial data for ecosystem monitoring under recreational pressure. ANR CHOUCAS (2017–2022): Heterogeneous data integration and spatial reasoning for mountain rescue. H2020 LandSense (2016–2020): Citizen Observatory for Land Use and Land Cover monitoring. She supervises multiple PhD students including Stefan Ivanovic, Mattia Bunel, Ibrahim Abdi Maidaneh, Raphaël BRES, Martin CUBAUD, John Dawson, and Amir Badawi. Her leadership extends to international scientific networks, where she co-chairs ISPRS WG IV/8 on Digital Twins and has held roles in GdR CNRS MAGIS and COST Actions. She is also involved in developing tools and methodologies for metadata generation, spatial reasoning ontologies, and collaborative platforms for land use monitoring. Her work emphasizes methodological rigor, interdisciplinary collaboration, and real-world impact in geospatial science.

• Remote Sensing
• Landsat
• MODIS
• +۴ مورد دیگر

Lluis Pesquer Mayos is a researcher in the Department of Geography specializing in remote sensing and geospatial data analysis. His work focuses on satellite imagery processing and environmental monitoring applications, particularly in the Iberian Peninsula context. Research Profile Expertise in Landsat and MODIS satellite data processing Specialization in time series analysis and radiometric correction Development of automatic selection algorithms for high-quality imagery Contributions to OGC Web Services and geospatial metadata standards Dr. Pesquer's recent publications (2019-2021) demonstrate an interdisciplinary approach bridging Environmental Science, Computer Science, and Geography. His research shows consistent focus on methodological improvements for satellite data analysis, particularly regarding image quality assessment, data compression, and ecosystem monitoring. The work has practical applications in land cover change detection and sustainable resource management. Research Projects Global Change Analysis in the Iberian Peninsula (2016-2018) Geographic Information Technologies for Sustainable Agriculture (2011-2013) Scalable Compression of Massive Geospatial Images (2010-2012) His scholarly impact is evidenced by citations across multiple publications (1-11 Scopus citations per work) and readership across academic platforms including Mendeley (9-26 readers per publication).