جست‌وجوی استاد و پژوهشگر

• 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.

Stuart Clareمشاهده پروفایل

دانشیار

• Functional MRI (fMRI)
• Ultra-High Field MRI Physics
• Neuroimaging
• +۴ مورد دیگر

Stuart Clare is an Associate Professor at the University of Oxford , affiliated with the Nuffield Department of Clinical Neurosciences and the Wellcome Centre for Integrative Neuroimaging . He serves as Director of Operations for the Oxford Centre for Industrial Collaboration in Imaging Neuroscience (OxCIN) and leads the Centre’s core team. His research focuses on advancing functional Magnetic Resonance Imaging (fMRI) and Ultra-High Field MRI technologies, particularly through innovations like dynamic shimming to improve image quality. Since 2011, he has pioneered the use of a state-of-the-art 7 Tesla MRI scanner, enabling unprecedented insights into brain structure and function. His recent publications highlight interdisciplinary work spanning neuroimaging , clinical trials , and scientific methodology , with a focus on harmonizing protocols across institutions, understanding neurodegenerative diseases, and improving reproducibility in lab practices. He also actively promotes public engagement with science , collaborating with schools and creating educational animations.

Leonard Edward Whiteمشاهده پروفایل

دانشیار

• Neuroscience
• Brain Imaging
• Magnetic Resonance Imaging
• +۵ مورد دیگر

Leonard Edward White is an Associate Professor in Neurology at Duke University, with additional appointments in Psychology and Neuroscience, Orthopaedic Surgery, and Neurobiology. He serves as Associate Director of the Duke Institute for Brain Sciences and Director of Undergraduate Studies of Neuroscience. His academic career spans over three decades since earning his Ph.D. from Washington University in St. Louis in 1992. Dr. White's research focuses on the structure and function of the mammalian brain, particularly through the development of advanced magnetic resonance methods for interrogating brain structure. His work combines light sheet microscopy with MRI techniques to provide new insights into microscopic brain structure, whole-brain connectivity, and how neural tissue constrains connectivity in animal models. He maintains a sustained interest in how early sensorimotor experience influences neural circuit formation and maturation in the cerebral cortex, as well as the intersection of brain sciences with humanities. His recent publications (2020-2025) reveal a strong emphasis on high-resolution brain imaging techniques, particularly MRI and light sheet microscopy for creating detailed brain atlases. His work spans multiple species (mouse, rat, human) and addresses fundamental questions in neuroanatomy, connectomics, and developmental neuroscience. Notably, he has been developing the Duke Mouse Brain Atlas and exploring the impact of prenatal drug exposure on brain development. Dr. White has secured significant research funding, including the current 'Ultra-high Resolution Structural Connectome Atlases of the Animal Brain' grant (2022-2026) from the University of Pittsburgh, and previously led NIH-funded projects on visual cortex development spanning nearly two decades. He is deeply involved in medical education, serving as Director of Undergraduate Studies of Neuroscience and developing innovative approaches to teaching neuroanatomy. His educational scholarship includes work on integrating art into medical education and revitalizing neuroanatomy teaching methods. He also maintains an active presence in neurohumanities, exploring the intersection of neuroscience with arts and humanities.

Christopher Brunsdonمشاهده پروفایل

استاد

• Spatial Statistics
• Data Science
• Spatial Analysis
• +۳ مورد دیگر

Christopher Brunsdon is Professor of Geocomputation and Director of the National Centre for Geocomputation at Maynooth University's Faculty of Social Sciences. Previously, he held positions at the University of Liverpool, Leicester, Glamorgan, and Newcastle. His academic credentials include a BSc in Mathematics from Durham University and an MSc in Medical Statistics and PhD in Geography from Newcastle University. Research interests focus on spatial statistics, data science, and spatial analysis, with emphasis on open-source software (especially R) and reproducible methods. Applied domains include crime pattern analysis, health geography, and environmental applications. Current projects include 'Mapping Lineages: Quantifying the Evolution of Maps of the British Isles' and 'Building city dashboards'. Brunsdon's recent publications (2018-2020) demonstrate strong methodological contributions to geocomputation, spatial regression, and geodemographics. Trends include reproducibility in spatial science, multiscale modeling, and applications in health geography and urban analytics. He leads the National Centre for Geocomputation, fostering innovation in spatial data science. Grant leadership includes an ERC Advanced Grant (RIGAR) and industry collaborations like consultancy for SiteZeus.

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.

• Privacy and Data Protection
• Artificial Intelligence and Law
• Law and Technology
• +۵ مورد دیگر

Dr. Cristiana Teixeira Santos is an Assistant Professor in Law and Technology at Utrecht University's Faculty of Law, Economics and Governance. She holds an International Chair Starting Career position at INRIA (2023-2026) and collaborates with computer scientists and designers on online privacy issues. Expert, Council of Europe EDPB Support Pool of Experts Co-founder, deceptive.design/cases database Her research focuses on EU data protection laws (GDPR, ePrivacy Directive, DSA, DMA) and digital harms caused by: Dark patterns and manipulative design Online tracking technologies Consent banner compliance Server-side tracking Paywalls Her work has been cited in international policy reports (OECD, European Commission, UK CMA) and received a Best of CHI Honorable Mention (2021). She has contributed to EU regulatory frameworks as a legal expert evaluator and advisor.

Marianne Fyhnمشاهده پروفایل

استاد

• Neurobiology
• Neuroscience
• Physiology
• +۷ مورد دیگر

Marianne Fyhn is a Professor at the University of Oslo's Section of Physiology and Cell Biology within the Faculty of Mathematics and Natural Sciences. She leads the Centre for Integrative Neuroplasticity (CINPLA), a strategic research initiative integrating experimental biology with computational physics/mathematics to study brain information processing and plasticity. PhD in Neuroscience (NTNU, 2000-2005) MSc in Physiology (University of Tromsø, 1997-1999) Bachelor in Arctic Biology (University Courses in Svalbard, 1995-1996) BSc in Biology (University of Bergen/Oslo, 1992-1995) Her research focuses on neural plasticity mechanisms in cortical structures, using large-scale neuronal recordings and transcranial two-photon microscopy to study synaptic and population code changes during sensory learning. Key findings include discovering grid cells in mice and demonstrating how experience modifies cortical circuits for long-term memory. Recent publications analyze perineuronal nets' role in memory stabilization, grid cell conformal mapping, and topological population coding in visual cortex. These works reveal intersections between neural circuit dynamics , computational modeling , and neurodegenerative processes . 2008: European Brain and Behaviour Society Award 2007: Eppendorf-Science Prize in Neurobiology 2006: Donald B. Lindsley Prize & I.K. Lykke Award Fyhn serves as course manager for advanced courses including MBV1020 - Physiology and MBV4340 - Advanced Neurobiology . Her lab develops educational tools like Neuronify for neural circuit simulation and open-source platforms for electrophysiological data analysis.

Robert Nichollsمشاهده پروفایل

استاد

• Coastal Engineering
• Climate Change Adaptation
• Sea-Level Rise
• +۳ مورد دیگر

Robert Nicholls is a Professor of Coastal Engineering at the University of Southampton , affiliated with the School of Engineering and the School of Ocean and Earth Sciences . He co-directs the MSc Engineering in the Coastal Environment and leads the Coastal Engineering and Management research group. Theme Champion, Society and Government at Southampton Marine and Maritime Institute Southampton Lead, Tyndall Centre for Climate Change Research Editorial Board, Anthropocene Coasts His research focuses on long-term coastal engineering and climate change adaptation , particularly sea-level rise and deltaic area vulnerability . Key projects include the Bangladesh Delta Plan 2100 and the development of the DIVA (Dynamic Interactive Vulnerability Assessment) model for global coastal risk analysis. Recent publications address compound flooding , coastal landfill risks , and adaptation frameworks for deltas . His work informs international policy through contributions to the IPCC , World Bank , and Asian Development Bank . Award Highlights: Roger Revelle Medal (2008) by UNESCO's Intergovernmental Oceanographic Commission Lloyd’s Science of Risk Prize (2012) for climate change research Robert leads major initiatives like the iCOASST Project and ESPA Delta Studies , while supervising PhD students in coastal resilience and flood management.

• Science and Technology Studies
• Digital Methods
• Generative AI for Social Research
• +۵ مورد دیگر

Anders Kristian Munk is a Professor at DTU Management, Technical University of Denmark, based in the Department of Technology, Management and Economics within the Division for Technology and Business Studies. His research focuses on the critical intersection of technology and society through Science and Technology Studies (STS) and advanced digital methodologies. His primary research domains include: Generative AI integration in social research Digital methods development (notably data sprints) Controversy mapping of sociotechnical issues Computational ethnography and network analysis Critical examination of data imaginaries Urban studies through computational visual methods Recent publications (2023-2025) demonstrate a strategic pivot toward generative AI applications, with significant contributions in developing AI-native research frameworks like synthetic interlocutors and irreductionist mapping. His work uniquely bridges STS theory with practical tool development, exemplified by Gephisto for critical network analysis. Key application areas span public health (e.g., inflammatory bowel disease trend analysis in Africa), cultural industries (film audience analytics), and urban studies (pandemic place attachments). Prof. Munk co-developed the data sprint methodology for collaborative controversy mapping and has contributed to major projects including Climaps and EMAPS. His interdisciplinary approach combines social science rigor with computational innovation through partnerships across computer science, design, and domain-specific fields. Current work emphasizes ethical AI integration and methodological adaptation for complex sociotechnical challenges.

• Database Systems
• Integration of heterogeneous databases
• Data quality and data integrity
• +۶ مورد دیگر

Thomas Kudraß serves as Professor for Database Systems at the Faculty of Computer Science, Mathematics and Natural Sciences (IMN) at Leipzig University of Applied Sciences (HTWK Leipzig). With over 25 years of academic and industry experience, he teaches courses including Database Basics, Database Application Programming, Data Warehousing, and Big Data Technologies. His leadership roles include Internship Coordinator for Computer Science since 2001, Member of the Academic Senate since 2011, and Contact person for the IMN faculty alumni association since 2005. Dr. Kudraß earned his Dipl.-Ing. in Computer Science from Technical University of Dresden (1985-1990) and completed his doctorate at Darmstadt University of Technology (1992-1997), where his dissertation received the prestigious Jos Schepens Memorial Award. Prior to academia, he worked as an Information Systems Architect at UBS AG Zurich and Database Specialist at Swiss Bank Corporation Basel. His research spans database technologies with focus on heterogeneous database integration, data quality, data privacy, and modern database concepts. Recent work explores cloud-native billing applications for 5G, NoSQL databases, and privacy-preserving record linkage techniques. His publication record shows continuous evolution from traditional database systems to contemporary challenges in big data and distributed systems. Jos Schepens Memorial Award for doctoral dissertation (1997) Active participation in German Informatics Society (GI) specialist groups Organizer of multiple database-related workshops and conferences Professor Kudraß has significantly contributed to academic governance as E-Learning Officer (2000-02), Faculty Council member (2009-12), and liaison lecturer for the German Society for Computer Science (2001-14). He has coordinated numerous student projects and served on program committees for major conferences including INFORMATIK 2017 and BTW series.

Giovanni Michettiمشاهده پروفایل

دانشیار

• Archival Science
• Digital Archives
• Document Management
• +۵ مورد دیگر

Giovanni Michetti serves as Associate Professor in the Department of Modern Literature and Culture at Sapienza University of Rome. His academic career focuses on archival science with particular expertise in digital archives, document management systems, and technological applications for archival practices. Currently teaching multiple courses including Document Management, Digital Preservation, Archival Organization and Description, and Computer Science for Archives and Libraries for the 2024/2025 academic year, he maintains an active role in the university's archival science programs within the Historical Sciences and Archival and Library Science degree courses. Michetti's research centers on contemporary archives with special emphasis on digital transformation in archival practices. His work spans digital archives management, document management systems, descriptive models, classification plans, and technology integration in archival contexts. He investigates blockchain applications for enhancing trust in digital archives, develops data architectures for cultural heritage, and examines the economic value of archival resources. His scholarly contributions bridge traditional archival science with modern information technologies, addressing critical challenges in preserving digital records while maintaining intellectual control over archival materials. His recent publications reveal a clear trajectory toward technological solutions for archival challenges, spanning theoretical aspects of archival science, practical applications of new technologies, and professional standards development. Key recurring themes include digital preservation techniques, blockchain applications for record authentication, data architectures for cultural heritage, and the evolving role of archivists in the digital age. This research reflects the field's transition from traditional archival methods to innovative digital approaches that address contemporary challenges in recordkeeping. Michetti leads the research project ADA (Advanced Digital Archive), which develops systems for online access to digital collections of humanities at Sapienza University. While specific student advising details aren't provided in the available materials, his extensive publication record and active research projects suggest significant mentorship activities within the archival science community.

Gonçalo Vieiraمشاهده پروفایل

استاد

• Physical Geography
• Polar Science
• Permafrost Studies
• +۷ مورد دیگر

Gonçalo Vieira is a Full Professor at the University of Lisbon's Institute of Geography and Territorial Planning (IGOT), specializing in Physical Geography with a focus on polar environments, permafrost dynamics, and mountain geomorphology. His research spans Arctic and Antarctic regions, Iberian mountain systems like Serra da Estrela, and Cape Verde. His academic background includes: Aggregate Title in Physical Geography (2023, University of Lisbon) PhD in Geography (2005, University of Lisbon) Master's in Physical Geography and Environment (1995, University of Lisbon Faculty of Arts) Bachelor's in Geography and Spatial Planning (1993, University of Lisbon Faculty of Arts) Vieira's research interests concentrate on climate change impacts in cryospheric environments, with particular emphasis on permafrost degradation, glacial history, remote sensing applications, and coastal dynamics in polar regions. His work integrates field observations with advanced geospatial technologies including UAVs, satellite imagery, and electrical resistivity tomography. The Serra da Estrela mountain range in Portugal serves as a key study area for understanding Mediterranean mountain responses to climate change, while his Arctic research addresses coastal erosion, lake diversity, and infrastructure vulnerability. His publication record reveals a strong focus on polar science, with recurring themes including permafrost monitoring techniques, glacial chronology in mountain systems, and the biogeochemical impacts of climate warming. Recent work emphasizes methodological innovations in remote sensing and field instrumentation, particularly for monitoring rapidly changing Arctic coasts and Antarctic ecosystems. The integration of historical data with contemporary observations characterizes his approach to understanding long-term environmental change. As principal investigator of Portugal's Polar Program (PROPOLAR), Vieira leads national polar research initiatives and maintains active field programs in both Arctic and Antarctic regions. His QEstrela project provides open-access geographic data for Serra da Estrela, supporting research and education in mountain environments. Vieira also contributes to international collaborations through organizations like the Global Terrestrial Network for Permafrost and pan-Arctic coastal vulnerability assessments.

Georg Glaszeمشاهده پروفایل

استاد

• Cultural Geography
• Political Geography
• Digital Geography
• +۵ مورد دیگر

Georg Glasze is a Full Professor at the Institute of Geography, Friedrich-Alexander-Universität Erlangen-Nürnberg, leading the Working Group on Cultural/Political/Digital Geographies. His research explores how spaces are (re)produced through socio-technical processes, focusing on discourse theory, digital sovereignty, and geopolitical conflicts. Key Research Areas: Discourse and practice theory in geographies Digital transformation's political implications OpenStreetMap governance and inequalities Smart City critiques and digital governmentality His recent publications analyze European digital policies, environmental crises' spatial dimensions, and contested digital sovereignty frameworks. The working group collaborates with institutions in Canada, France, and Jordan, addressing global challenges through localized case studies. Notable Projects: Resilienz digitaler Infrastrukturen (2024-2028, funded by BMFTR) Offene Geodaten (2024-2026, DFG-funded) Geo-Daten zur digitalen Dokumentation von Menschenrechtsverletzungen (2022-2025, BMFTR)

Dewar Finlayمشاهده پروفایل

استاد

• Healthcare Technology
• Artificial Intelligence
• Digital Signal Processing
• +۵ مورد دیگر

Dewar Finlay is a Professor of Electronic Systems and Head of the School of Engineering at Ulster University . He previously served as Research Director for the School of Engineering and Interim Associate Dean for Research & Impact within the Faculty of Computing, Engineering and the Built Environment. His work bridges healthcare technology and computational engineering. Education: BEng in Electronic Systems, Ulster University PhD in Computing, Ulster University Research Interests: His research focuses on healthcare technology with emphasis on computerised ECG analysis and deep learning applications in cardiology . He explores AI-driven diagnostics , signal processing , and medical device validation through projects like DTNet+ Digital Twin Network and IoT-Driven Cybersecurity Framework for Intrusion Detection in Drones . Scientific Awards: Best Poster (2024) - Calibrated Uncertainty AI in ECG Analysis Early Career Investigators Award (2022) - British Society for Heart Failure Grants & Collaborations: He has secured funding from EU Horizon 2020 , RCUK , DEL , and InvestNI . Current projects include AI-assisted echocardiography for congenital heart defects in Sub-Saharan Africa and federated learning frameworks for cardiac healthcare.

Michael Williamsمشاهده پروفایل

پژوهشگر ارشد

• Gravitational Wave Physics
• Neutron Stars
• Black Holes
• +۳ مورد دیگر

Dr. Michael Williams is a Research Fellow at the Institute of Cosmology & Gravitation under the Faculty of Technology , University of Portsmouth. His work focuses on gravitational wave physics, neutron star dynamics, and black hole binaries through collaborations with LIGO, Virgo, and KAGRA detector networks. Active in gravitational wave detection and multi-messenger astronomy Developing AI algorithms for telescope targeting and signal processing Recipient of the IOP Trusted Reviewer status (2025) His recent research includes premerger characterization of black hole binaries , continuous wave searches from pulsars , and gravitational wave-FRB counterpart detection . He contributes to open-source tools like nessai and bayesbeat , with 25 datasets released. Williams participates in conferences like the European AI for Fundamental Physics Conference and workshops on milli-hertz gravitational wave astrophysics. Key collaborations: LIGO, Virgo, KAGRA, GEO600 Technical expertise: matched filtering , Bayesian inference , normalizing flows