جست‌وجوی استاد و پژوهشگر

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.

• Virtual Geosciences
• Clastic Sedimentology
• Sequence Stratigraphy
• +۷ مورد دیگر

Professor John Howell is a Chair in Virtual Geosciences at the School of Geosciences, University of Aberdeen. He has been a Professor there since 2012, following academic and industry roles in Norway and the UK. His research bridges sedimentology, digital field methods, and energy transition geoscience. He leads multiple international research initiatives and collaborates widely across academia and industry. Education: BSc in Geology, Cardiff University, 1988 PhD in Geology, University of Birmingham, 1992 — Dissertation: Sedimentology of the Rotliegend of the UK Southern North Sea John Howell's research is centered on virtual geosciences, focusing on digital outcrop modeling using LiDAR and drones, virtual field trips, and the use of geological analogues to improve subsurface models for reservoirs, carbon capture and storage (CCS), and hydrogen storage. His work spans clastic sedimentology, sequence stratigraphy, and reservoir modeling, with field areas including the Colorado Plateau (Utah), the North Sea, and global deep-water systems. He pioneered virtual outcrop geology and co-founded V3Geo, a public repository hosting over 500 virtual models. His recent publications reflect a strong trend toward integrating digital technologies—such as machine learning and photogrammetry—into geological analysis and education. Themes include reservoir heterogeneity, virtual field trip efficiency, and the application of modern depositional systems to ancient subsurface analogues. His work increasingly supports the energy transition, particularly in subsurface storage and sustainable resource management. Scientific Awards: Perce Allen Award (2018) ExxonMobil Young Researcher Award (2000) Alaister Pilkinton Award for Excellence in Teaching (2000) John Howell has supervised 56 PhD students and leads or co-leads five major Joint Industry Projects (JIPs), including the fifth phase of the SAFARI project, funded by nine energy companies and the Research Council of Norway. His research has attracted significant industry and public funding, supporting numerous postdocs and PhD candidates. He collaborates with institutions in Bergen, Leeds, Manchester, Oslo, and Barcelona. He is actively involved in knowledge exchange, having developed V3Geo, presented TEDx talks, and appeared in numerous TV documentaries such as 'The Big Monster Dig', 'Dinosaur Detectives', and 'World's Deadliest Jobs'. He also produced educational content like 'Drone vs Volcano' with over 375,000 views.

Philip Nakashimaمشاهده پروفایل

دانشیار

• Transmission Electron Microscopy
• Quantitative Convergent-Beam Electron Diffraction
• Electron Crystallography
• +۱۵ مورد دیگر

Philip Nakashima is an Associate Professor in the Department of Materials Science & Engineering within the Faculty of Engineering at Monash University. He is an active researcher with a PhD in Physics from the University of Western Australia (2002) and has over 25 years of experience in advanced transmission electron microscopy (TEM) and quantitative convergent-beam electron diffraction (QCBED). He is currently accepting PhD students and is involved in cutting-edge research in materials characterization and quantum information technology. His research focuses on the development and application of advanced electron microscopy techniques to study the structure, bonding, and properties of materials such as metals, alloys, ceramics, and nanostructures. Key areas include quantitative CBED, electron crystallography, digital image restoration, noise quantification, and multi-parameter optimization. He has made seminal contributions to understanding chemical bonding in aluminum and has extensive experience in high-performance computing for materials analysis. His most recent publications demonstrate a strong trend toward integrating machine learning with materials design, particularly for magnesium alloys, while maintaining core expertise in electron diffraction and microscopy. He continues to publish in high-impact journals such as Science , Physical Review Letters , and Acta Materialia . Philip Nakashima has received several prestigious awards for his research excellence: John Sanders Medal (2012) : Awarded by the Australian Microscopy and Microanalysis Society for excellence in electron microscopy techniques. Barry Inglis Medal (2011) : Awarded by Australia’s National Measurement Institute for outstanding achievement in measurement research. The Cowley-Moodie Award (2006) : Recognizing research excellence in electron microscopy in the physical sciences. He has been a visiting researcher at the ARC Future Fellowship (2012–2016) and is currently an Associate Investigator in the Quantum Information Technology project (2023–2027). He teaches advanced crystallography to undergraduate and postgraduate students and has been invited to lecture at international schools on electron and quantum crystallography. His research involves collaboration with leading scientists in Australia and internationally, and he leads work on advanced microscopy for materials engineering applications.

• Sociolinguistics
• Phonetics
• Linguistic Variation
• +۵ مورد دیگر

Prof. Charles Boberg is an Associate Professor of Linguistics at McGill University, specializing in sociolinguistics, phonetics, and dialectology. He has conducted extensive research on linguistic variation in Canadian English, including regional phonetic and lexical differences. His work includes co-authoring the Atlas of North American English and authoring The English Language in Canada . Currently, he is co-editing the Handbook of Dialectology with John Nerbonne and Dominic Watt. Education: B.A. in Political Science and German (University of Alberta, 1986) Ph.D. in Linguistics (University of Pennsylvania, 1997) His research focuses on ethno-phonetic variation in Montreal English, the Canadian Shift, and language contact dynamics in bilingual regions like Quebec. He has pioneered methods for studying lexical variation through the North American Regional Vocabulary Survey. His recent projects at FRIAS involve exploring European dialectological frameworks to refine global dialectology studies. Key contributions include analyzing the emergence of new phonemes in Canadian English and documenting sociolinguistic patterns influenced by ethnicity and urbanization. His work bridges North American and European dialectology, emphasizing comparative methodologies and interdisciplinary collaboration.

Andi Agbejuleمشاهده پروفایل

پژوهشگر ارشد

• Cancer Care
• Cancer-related Fatigue
• Self-Management Support
• +۵ مورد دیگر

Dr. Andi Agbejule is a Research Fellow within the Cancer Survivorship Program at Flinders University's Caring Futures Institute, affiliated with the College of Nursing and Health Sciences. She holds a PhD in Enabling Health Professionals to Provide Effective Self-Management Support for Cancer-related Fatigue and a Bachelor of Radiation Therapy from Queensland University of Technology. Her expertise spans cancer-related fatigue, equity in cancer care, implementation science, and lifestyle adjustments to improve survivorship outcomes. Research Interests: Dr. Agbejule focuses on self-management strategies for cancer-related fatigue, equitable healthcare access, and the translation of evidence-based practices into clinical settings. She has pioneered frameworks for fatigue management and patient navigation programs, emphasizing behavioral changes and multidisciplinary care approaches. Awards: She has received accolades including the PC4 Symposium Best Poster Award (2021), Margaret Fay Fuller PhD Scholarship (2022), and multiple HDR Student Publication Awards (2022–2023). Her work aligns with UN Sustainable Development Goals, particularly in advancing health equity and education. Labs/Teams: She contributes to the Caring Futures Institute and collaborates with global organizations like MASCC. Her research spans oncology navigation systems, digital health tools, and policy-driven equity initiatives.

• Information Retrieval
• Digital Libraries
• Informetrics
• +۵ مورد دیگر

Philipp Mayr-Schlegel is a Professor at the University of Göttingen’s Institute of Computer Science, leading the team 'Information & Data Retrieval' at GESIS - Leibniz-Institute for the Social Sciences. His research focuses on interactive information retrieval systems, scholarly recommendation mechanisms, and the integration of bibliometric methods with digital library technologies. University of Göttingen - Institute of Computer Science GESIS - Leibniz-Institute for the Social Sciences His work spans information retrieval , digital libraries , and applied informetrics , with particular emphasis on: Interactive search systems Non-textual ranking algorithms Scholarly document processing Knowledge representation Semantic search technologies User behavior analysis Recent research outputs (2025) include studies on LLMs for scholarly search, bibliometric reproducibility tools, scientific uncertainty annotation, and preprint adoption disparities. He has published extensively in Scientometrics , International Journal on Digital Libraries , and top conference proceedings like ACL and ECIR . As organizer of the International Workshop on Bibliometric-enhanced Information Retrieval (BIR) and Scholarly Document Processing (SDP) series, he has shaped academic discourse through editorial roles at ISSI , JCDL , and SocInfo conferences. His projects have attracted significant national and European funding.

Koen Slootmaeckersمشاهده پروفایل

دانشیار

• Gender Politics
• Sexuality Politics
• LGBTQ+ Rights
• +۴ مورد دیگر

Koen Slootmaeckers is a Reader (equivalent to Associate Professor) in International Politics at City, University of London, specializing in gender and sexuality politics within the European context. His research combines insights from sociology and political science to analyze hierarchies within the international system, with particular focus on LGBTQ+ rights and EU enlargement processes. His research interests span gender and sexuality politics, transnational social movements, LGBTQ+ rights, and homophobia, with a geographic focus on Europe, particularly Eastern Europe. Slootmaeckers examines how EU accession processes affect LGBTQ+ politics and activism, as evidenced by his award-winning book on Serbia's EU accession and LGBTQ+ politics. His current research focuses on the transnational politics of Pride events and future work explores the role of emotions in politics to overcome polarization. Slootmaeckers' publication record shows a consistent focus on the intersection of European integration, LGBTQ+ rights, and political sociology. His work frequently analyzes how legal frameworks interact with lived experiences of LGBTQ+ individuals, challenging homonationalist discourses that position Western Europe as inherently more progressive. He has developed a critical approach to mapping LGBTQ+ rights, demonstrating how legal indicators can obscure complex social realities on the ground. 2025 EUSA Best Book Prize for 'Coming in: Sexual politics and EU accession in Serbia' Council for European Studies Gender and Sexuality Research Network Best Article Prize (2025) UACES Prize for Best PhD Thesis in Contemporary European Studies (2018) Slootmaeckers serves as an External Examiner at Richmond, The American International University in London (2021-2026), holds a Senior Fellowship at the University of Graz (2024), and acts as EDI Officer for UACES (2023-2026). His work has significant policy relevance, with frequent media appearances discussing LGBTQ+ rights in Hungary, Serbia, and across Europe, and he has contributed to reports like 'Queering Peace and Security: Recommendations to the United Nations Independent Expert on Sexual Orientation and Gender Identity.'

• Software Performance Engineering
• Microservice Architectures
• Cyber-Physical Systems
• +۳ مورد دیگر

Catia Trubiani is a faculty member at the Gran Sasso Science Institute in L'Aquila, Italy, specializing in software performance engineering, architectural analysis, and cyber-physical systems. Her work bridges theoretical modeling with practical applications, focusing on performance antipatterns, uncertainty quantification, and DevOps practices. In research , she explores performance modeling of microservices, federated learning systems, and cyber-physical systems, with a strong emphasis on architectural decision-making under uncertainty. Her recent articles analyze performance regression testing, aging detection in networks, and anti-pattern correlation in distributed systems, reflecting her interest in robust, scalable software solutions. She collaborates extensively with researchers like Raffaela Mirandola , Alberto Avritzer , and Riccardo Pinciroli , contributing to tools and frameworks such as PLUS (Performance Learning for Uncertainty of Software) and VisArch (Visualisation of Performance-Based Architectural Refactorings). Her work has been published in journals including IEEE Transactions on Software Engineering and Future Generation Computer Systems , as well as conferences like ICSE, ECSA, and ICPE.

Sinan Tankut Gülhanمشاهده پروفایل

استادیار

• Urban Sociology
• Turkish Urbanization
• Comparative Urban History
• +۷ مورد دیگر

Dr. Sinan Tankut Gülhan is an Assistant Professor at the University of Zielona Góra's Institute of Sociology in Poland, where he applies a multidisciplinary approach to urban sociology. With expertise spanning Turkish urbanization processes, comparative urban history, and digital transformation in urban contexts, he bridges theoretical frameworks with practical applications in urban planning and policy. His research interests focus on the intersection of urban sociology and digital transformation, examining algorithmic decision-making in urban planning, digital inequality, housing market dynamics, 'smart city' initiatives, and the impact of digital platforms on urban mobility. Drawing from Henri Lefebvre's spatial theory, he analyzes how urban spaces are produced through political, economic, and social processes, with particular attention to Istanbul's historical development. Dr. Gülhan has expanded his methodological approach from qualitative to quantitative and computational techniques, utilizing statistical analysis (RStudio, SPSS), data science applications (Python, machine learning), digital research methods (web scraping, text analysis), and spatial analysis (QGIS). His publications reveal a consistent focus on urban political economy, historical urban development, and the evolving relationship between state power and urban space. Actively engaged in public sociology, he collaborates with community organizations, policymakers, and media outlets, organizing workshops for planners and advising municipal governments on technology implementation. His work on the 1960 Istanbul Housing Census visualization demonstrates his commitment to making historical urban data accessible for contemporary urban challenges.

Frank Markertمشاهده پروفایل

دانشیار

• Fire Safety Engineering
• Hydrogen Safety
• Computational Fluid Dynamics
• +۷ مورد دیگر

Frank Markert is an Associate Professor at the Technical University of Denmark (DTU) , Department of Civil and Mechanical Engineering, specializing in Structures and Safety. His research focuses on fire safety engineering, hydrogen safety, computational fluid dynamics (CFD), and risk assessment, with applications in tunnel safety, hydrogen refuelling stations, and emergency response systems. Education: While specific degrees are not listed, his role as Associate Professor and extensive research output suggest advanced qualifications in fire safety engineering or related fields. Research Interests: Fire safety and fire dynamics in structures Hydrogen safety, especially in confined spaces like tunnels Risk assessment and quantitative risk analysis (QRA) Computational modeling of fires and explosions Emergency response and crisis management systems Research Trends: His recent publications (2023–2025) emphasize hydrogen safety in transport systems, tunnel fire mitigation, and innovative fire suppression techniques. He actively explores the risks associated with hydrogen-powered vehicles and infrastructure, including boil-off gas management and explosion mitigation strategies. Scientific Awards: No specific awards are mentioned in the provided text. Advising and Grants: Main supervisor for PhD student Liu, W. in the project "Advanced fire engineering tool for integrated analysis of structural design parameters" (2020–2024). Principal Investigator (PI) for projects like FIRE21 (Nordic Fire and Rescue Services) and HyTunnel-CS (hydrogen safety in tunnels). Participant in EU projects such as K-FORCE (Knowledge FOr REsilient society) under Erasmus+. Labs and Teams: He is affiliated with the DTU Construct research group, focusing on civil and mechanical engineering structures and safety.

Amin Ghazianiمشاهده پروفایل

استاد

• Sociology of Sexualities
• Urban Sociology
• Cultural Sociology
• +۶ مورد دیگر

Amin Ghaziani is Professor of Sociology at the University of British Columbia (UBC) and the University of California, Santa Barbara (on leave 2025-2026). He holds a Canada Research Chair in Urban Sexualities and serves as Co-Editor of Contexts Magazine and Deputy Editor of Mobilization . Education: Ph.D. (Northwestern, 2006), M.S. (Northwestern, 2002), B.A. (Michigan, 1998) His research focuses on urban sexualities, queer nightlife, cultural sociology, and gay neighborhoods , with a critical lens on identity fluidity, intersectional inequalities, and LGBTQ+ spatial practices. Recent work explores situational fluidity of identity labels (2025), renewal of queer nightlife post-bar closures (2024), and intersectional identity negotiation among Chinese LGBTQ+ migrants (2024). Key awards include Lambda Literary Finalist , Killam Prizes , Canada Research Chair , and Best Article Awards from the American Sociological Association. His media engagements span The New Yorker , New York Times , and BBC Radio 4 .

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.

• Alzheimer's Disease
• Neurodegenerative Diseases
• Multimodal Imaging
• +۳ مورد دیگر

Christopher Brown serves as a Clark Scholar and instructor in the Department of Neurology at the University of Pennsylvania, where he conducts clinical training at the Penn Memory Center under Dr. Dave Wolk's mentorship. His work bridges neurology, imaging science, and neurodegenerative disease research within Penn's academic medical ecosystem. His educational trajectory includes a bachelor's degree in biology and philosophy-neuroscience-psychology from Washington University in St. Louis, followed by dual MD/PhD training at the University of Kentucky. His doctoral research focused on multimodal imaging in aging and preclinical Alzheimer's disease, specifically examining executive function decline. Dr. Brown's research centers on multimodal neuroimaging approaches to map neurodegenerative pathology propagation through white matter networks. His work integrates advanced MRI techniques with computational analysis to understand Alzheimer's disease mechanisms, emphasizing the structural connectivity basis of cognitive decline. This focus positions him at the intersection of clinical neurology and cutting-edge imaging methodology development. Analysis of his 2024-2025 publications reveals dominant themes in Alzheimer's disease genetics (particularly variant-to-function mapping in microglial models), high-resolution neuroimaging segmentation, and white matter microstructure analysis. His work consistently connects molecular mechanisms with structural brain changes, using techniques ranging from 7T MRI to multi-ancestry genetic studies. His scientific recognition includes: Clark Scholar award As a Penn Memory Center researcher, Dr. Brown contributes to collaborative projects investigating early Alzheimer's detection biomarkers. His current work extends into glymphatic system research and vascular contributions to neurodegeneration, supported by institutional resources within Penn's neuroscience infrastructure. He operates within the Penn Memory Center's research ecosystem, which integrates clinical care with translational neuroscience to advance dementia diagnosis and treatment through multidisciplinary team science.

• Biomedical Imaging
• Developmental Biology
• Optical Microscopy
• +۵ مورد دیگر

Jan Huisken is a Professor at the University of Göttingen, Germany, holding the Alexander von Humboldt Professorship since October 2021. He remains an affiliate of the Morgridge Institute for Research in Madison, Wisconsin, where he served as Director of Morgridge Medical Engineering since 2016. Previously, he was a Visiting Professor in the Department of Integrative Biology (2010-2017) and a Research Group Leader at the Max Planck Institute of Molecular Cell Biology and Genetics (2005-2009). His educational background includes: PhD in Physics, University of Freiburg (conducted at EMBL-Heidelberg) Postdoctoral work at EMBL-Heidelberg (2000-2004) Postdoctoral work at UCSF (2004-2005) Dr. Huisken's research focuses on developing noninvasive biomedical imaging techniques, particularly optical microscopy, to study developmental processes in living organisms. His lab specializes in organogenesis in zebrafish, with emphasis on the cardiovascular system and endoderm. He pioneers quantitative microscopy tools including selective plane illumination microscopy (SPIM) and high-speed fluorescence microscopy to capture cellular dynamics during organ formation. His publication portfolio reveals a dominant trend in advancing light-sheet microscopy for multiscale embryonic imaging, with recurring applications in cardiovascular dynamics, endoderm formation, and vascular growth. This work consistently bridges physics and biology, creating custom microscopes that solve fundamental biological problems through interdisciplinary collaboration. His notable scientific achievement is: Alexander von Humboldt Professorship Dr. Huisken leads an interdisciplinary laboratory where biologists and physicists jointly develop cutting-edge microscopy instrumentation and immediately apply it to biological discovery. The lab operates across the full experimental spectrum from transgenic model systems and optical engineering to computational image analysis, fostering a unique environment where technological innovation directly drives biological insight.