Find Academic Supervisors

Arne MannView profile

Researcher

• Ethnography
• Roma Studies
• Cultural Anthropology
• +12 more

Arne Mann is an independent researcher at the Institute of Ethnology and Social Anthropology of the Slovak Academy of Sciences, specializing in Roma ethnography. He has held academic positions and taught at Comenius University in Bratislava, the University of Nitra, and Charles University in Prague. His research focuses on Roma culture, religion, family and social relations, rituals, and demographic development. PhDr. in Ethnography, Comenius University, 1980 CSc. (Candidate of Sciences), 1997 Employed at the Institute since 1983 His research interests include Roma identity, Holocaust studies, ethnic stereotypes, education, and cultural preservation. He has published extensively on Roma blacksmiths, spiritual beliefs, naming practices, and historical persecution. His work combines ethnographic fieldwork with archival research and oral history. His 15 most recent publications reveal a sustained focus on Roma history, identity, and social conditions, with increasing attention to the Roma Holocaust and the use of personal memoirs as historical sources. His research spans demography, religion, education, and cultural anthropology, often emphasizing the interplay between tradition and modernity in Roma communities. Commemorative Medal (2003) for work on the Roma Holocaust Publication Award from the Ethnographic Society of SAS (2003) Romipen Award (2014) for cultural and educational contributions Ray from the Darkness Award (2019) for public advocacy and myth-busting Mann has been actively involved in pedagogical activities, contributing to university curricula on Roma culture. Though no formal student advising is mentioned, his educational outreach has influenced generations of students and professionals. He has participated in VEGA-funded scientific projects on social differentiation and everyday culture in Slovakia. His work is supported by long-term institutional affiliation and recognition through national and civic awards. He is associated with a specialized research environment that includes extensive ethnographic archives and collaborative networks in Central Europe. His contributions are integral to the academic and public understanding of Roma history and culture in Slovakia.

Christopher SoulsbyView profile

Professor

• Hydrology
• Biogeochemistry
• Groundwater-Surface Water Interactions
• +3 more

Christopher Soulsby is a Professor of Hydrology at the School of Geosciences, University of Aberdeen. He serves as Chair in Hydrology and leads research initiatives focused on catchment hydrology, groundwater-surface water interactions, and ecohydrology of salmonid rivers. As a Fellow of the American Geophysical Union and holder of a DSc from the University of Aberdeen, his work integrates isotopic tracers and modeling to address sustainable water management. Education: DSc (1999) and PhD (1987-1991) in Hydrology, University of Wales, Swansea Research Interests: His work examines runoff processes, streamflow generation, and catchment biogeochemistry using isotopic and geochemical tracers. Key areas include groundwater-surface water interactions in upland environments, hyporheic zone hydroecology, and hydrological management of wetlands in Scotland and Africa. Recent Article Trends: Current publications focus on drought impacts on water quality, ecohydrology of urban green spaces, and coupled modeling of water-carbon dynamics in agroforestry systems. Studies employ remote sensing, isotopic tracers, and environmental DNA to analyze hydrological connectivity and climate stress. Scientific Awards: Fellow, American Geophysical Union DSc, University of Aberdeen Key Collaborations: Works with institutions like Macaulay Institute, Freshwater Laboratory (Pitlochry), British Geological Survey, and Centre for Ecology and Hydrology. Leads projects in Scottish uplands (Feshie, Feugh, Girnock catchments) and African wetlands (Kasanka National Park, Zambia).

Naomi ZimmermanView profile

Associate Professor

• Atmospheric Science
• Air Quality Monitoring
• Climate Change Mitigation
• +7 more

Naomi Zimmerman is an Associate Professor in the Department of Mechanical Engineering at the University of British Columbia (UBC) and holds the Canada Research Chair in Real-World Air Quality Sensing. She leads the iREACH (Integrated Research in Energy, Air, Climate & Health) laboratory, focusing on technology and policy interventions for air quality and climate outcomes. Her work bridges atmospheric science, environmental engineering, and public health. B.A.Sc. in Chemical Engineering from University of Waterloo Ph.D. in Chemical Engineering and Applied Chemistry from University of Toronto Postdoctoral Fellowship at Carnegie Mellon University’s Center for Atmospheric Particle Studies Her research addresses real-world air pollutant behavior through low-cost sensor networks, machine learning models, and interdisciplinary collaboration with institutions like UBC’s Liu Institute and IRES. Key areas include transportation emissions (e.g., LNG vehicles, autonomous vehicles), wildfire smoke impacts, and environmental justice. The 15 most recent publications highlight her expertise in PM2.5 calibration, spatial modeling, and emissions from gasoline direct injection engines. Keywords span environmental science, atmospheric chemistry, and machine learning, with sub-fields covering wildfire smoke, urban monitoring, and climate policy. Canada Research Chair (2024–present) Zimmerman collaborates with regulatory agencies and non-profits, emphasizing stakeholder engagement. Her lab develops tools for rapid environmental policy evaluation. No active student recruitment is currently ongoing, though she welcomes exceptional fellowship applicants.

Gina HerrmannView profile

Professor

• Holocaust Studies
• Communist and Leftist Studies
• Spanish Memory Studies
• +12 more

Gina Herrmann is a Professor of Spanish and Romance Languages at the School of Global Studies and Languages, University of Oregon, where she also serves as Director of Undergraduate Studies. Her academic work bridges literature, history, and political theory, with a focus on antifascist resistance, Holocaust studies, and gendered memory in 20th-century Europe. Her educational background includes a B.A. and Ph.D. from Cornell University and an M.A. from Columbia University, along with a Certificate in Oral History from the Columbia University Center for Oral History Research. This interdisciplinary training underpins her methodologically rigorous scholarship. Herrmann’s research centers on communist and leftist movements, particularly the roles of women in resistance against Franco and Hitler. She explores how political identity is formed through trauma, incarceration, and ideological commitment. Her work draws on oral histories, literary texts, and archival materials to reconstruct the lived experiences of marginalized actors in European fascism and resistance. Key themes include political subjectivity, state terror, gendered violence, and cultural memory. Her recent publications reflect a trajectory from Spanish communist memoirs to transnational Holocaust studies and gendered resistance. The articles demonstrate a consistent focus on marginalized voices, especially women, and explore intersections of literature, history, and human rights. Topics range from Spanish women in the French Resistance and slave labor in Nazi camps to the cultural representations of Trotsky’s assassination and the politics of mass graves under Franco. National Endowment for the Humanities Fellowship (2017-18) Holocaust Education Foundation Fellow (2016) US Holocaust Memorial Museum Silberman Seminar (2015) University of Oregon Presidential Fellowship for Humanities (2020) University of Oregon Outstanding Graduate Faculty Mentor (2017) Norman H. Brown Faculty Fellow (2019-2021) Herrmann has been a dedicated mentor to graduate students, recognized with the Outstanding Graduate Faculty Mentor award. She has secured competitive grants from the NEH, US Holocaust Memorial Museum, and internal university sources. Her public scholarship includes directing teacher institutes through the Abraham Lincoln Brigade Archive (ALBA), where she also serves as Vice-Chair, promoting human rights education and historical memory. Her work is deeply committed to experiential learning and civic engagement. While not explicitly mentioning a lab, her research involves extensive fieldwork in oral history and archival research, often in collaboration with international scholars and institutions such as ALBA, the US Holocaust Memorial Museum, and European presses. Her projects are inherently collaborative and interdisciplinary, involving editorial teams, public symposia, and pedagogical outreach.

Gyunam ParkView profile

Researcher

• Process Mining
• Action-Oriented Process Mining
• Object-Centric Process Analysis
• +12 more

Gyunam Park is a Research Group Lead and Process and Data Scientist at Fraunhofer FIT and a Scientific Assistant at the Chair of Process and Data Science at RWTH Aachen University, a leading institution in computer science and engineering. He is actively involved in both research and teaching, contributing to the advancement of process mining, data science, and artificial intelligence. His work bridges academic research and industrial applications, particularly in SAP ERP systems and digital twins of organizations. Research Interests: Gyunam Park’s research focuses on Action-Oriented Process Mining (AOPM) , Object-Centric Process Analysis , and Responsible Machine Learning . He aims to transform process mining insights into actionable management decisions, ensuring transparency, fairness, and compliance. His work enables organizations to monitor operational constraints, generate corrective actions, and assess their impact using data-driven methods. Publication Trends: His recent publications emphasize object-centric approaches to process mining, predictive monitoring, constraint checking, and integration with AI planning. There is a strong trend toward preserving structural information in event logs, improving machine learning performance, and applying these techniques to real-world systems like SAP ERP and after-sales service processes. Scientific Awards: No awards are explicitly mentioned in the provided text. Advising and Grants: While no formal students are listed, Gyunam Park leads research projects and collaborates with industry partners such as Samsung Electronics and SAP. His projects involve root cause analysis, resource optimization, and educational data mining. He has developed open-source tools like ProAct and OCPA , indicating active grant or institutional support for software development and research dissemination. Labs and Teams: He is a core member of the Process and Data Science (PADS) group led by Prof. Wil van der Aalst at RWTH Aachen University and leads a research group at Fraunhofer FIT. These teams focus on cutting-edge research in process mining, data science, and AI, with strong industry collaborations and regular contributions to top conferences and journals.

Harry WilliamsView profile

Professor

• Coastal Geomorphology
• Paleotempestology
• Hurricane Sedimentation
• +3 more

Dr. Harry Williams is a Professor in the Department of Geography and the Environment at the University of North Texas (UNT). He is an editorial board member of the Journal of Coastal Research and conducts research at the intersection of geomorphology, natural hazards, and human-environment interactions. Research Interests Dr. Williams specializes in coastal geomorphology, with a focus on hurricane storm surge sedimentation, paleotempestology (study of ancient storms), and the impacts of urbanization on physical environments. His fieldwork-driven research spans Texas, Louisiana, Thailand, South Korea, and Vietnam, using GIS, GPS, modeling, and remote sensing as key methodologies. Coastal Geomorphology : Fire Island, NY, before/after Hurricane Sandy Sedimentation Studies : Coastal marshes, floodplains, and historical storm records Climate-Hazard Interactions : Holocene climate changes and tropical cyclone variability Scientific Contributions Editorial board member of Journal of Coastal Research Published 17 peer-reviewed articles (2005-2019) on hurricane sedimentation, coastal evolution, and GIS applications Developed fieldwork-centered research frameworks for student thesis projects Academic Mentorship Dr. Williams actively mentors students through research opportunities, emphasizing professional development via conference presentations and co-authorship of journal articles. His courses include: Geology 1610: Physical Geology Geography 1710: Earth Science Geography 4350/5350: Geomorphology Foundations of Geographical Thought

Volkmar WirthView profile

Professor

• Rossby wave packets
• forecast errors
• tropopause dynamics
• +5 more

Volkmar Wirth is a full Professor of Theoretical Meteorology and Atmospheric Physics at the Institute for Atmospheric Physics, Johannes Gutenberg-University Mainz. His research focuses on Rossby wave packets, forecast error dynamics, tropopause behavior, mountain meteorology, and tropical cyclone processes. Full Professor since 2000 Specialist in midlatitude waveguidability and extreme weather predictability Active in mountain meteorology (banner clouds) and hurricane dynamics Teaching includes graduate courses on atmospheric hydrodynamics, predictability, and potential vorticity applications. He supervises project assignments involving numerical modeling in FORTRAN-90 and leads meteorology practicals with time series analysis experiments. Recent publications analyze Rossby wave propagation in changing climates, temperature extremes, and waveguide limitations. His group collaborates extensively on "Waves to Weather" predictability research. Current affiliations: Johannes Gutenberg-University Mainz , Institute for Atmospheric Physics.

Shuhab D KhanView profile

Professor

• Remote Sensing
• Geospatial Research
• Hyperspectral Imaging
• +5 more

Dr. Shuhab D Khan is a Full Professor in the Department of Earth and Atmospheric Sciences at the University of Houston's College of Natural Sciences and Mathematics. He leads the Remote Sensing and Geospatial Research Laboratory (GeoRS), focusing on advanced geospatial techniques for earth science applications. His research integrates remote sensing, geospatial analytics, and field geology to address critical geological and environmental challenges. PhD in Geoscience from The University of Texas at Dallas (1996-2001) Dr. Khan specializes in hyperspectral imaging, land subsidence analysis, tectonic studies, and rare earth element exploration. His work bridges traditional geological field methods with cutting-edge remote sensing technologies, particularly in developing innovative spectral indices for mineral identification. He has made significant contributions to understanding active tectonics in the Himalayas and hydrogeological systems in North Africa. His recent publications show a strong trend toward multi-scale analysis of geological phenomena, from microscopic mineral identification to regional tectonic studies. He has pioneered techniques using drone-based hyperspectral imaging for rare earth element detection and developed novel approaches for analyzing land subsidence in urban areas using InSAR technology. Dr. Khan actively mentors students through research projects and leads the Remote Sensing and Geospatial Research Laboratory. His laboratory work focuses on developing practical applications of geospatial technologies for resource exploration, environmental monitoring, and natural hazard assessment. He has secured research funding for projects related to coastal erosion monitoring, subsidence analysis, and mineral exploration.

Rafael CapillaView profile

Professor

• Software Architecture
• Architectural Knowledge
• Software Product Line Engineering
• +5 more

Rafael Capilla is a Professor of Software Engineering at Rey Juan Carlos University of Madrid and an Adjunct Professor at LUT School of Engineering Sciences. His research focuses on software architecture, architectural knowledge, software product line engineering, dynamic variability, technical debt, software sustainability, and Industry 4.0 architectures. He has conducted international collaborations across Europe, Latin America, and Asia, with over 80% of his collaborators from foreign institutions. Research Interests : Software Architecture, Technical Debt, Dynamic Variability, Software Sustainability, Industry 4.0 Quality Evaluation Recent Publications highlight trends in sustainable software practices, Industry 4.0 systems, and AI-assisted architectural decision-making. His work explores intersections between technical debt identification, serverless computing economics, and runtime variability models.

• Database Systems
• Web Data Extraction
• Information Integration
• +4 more

Jayant Madhavan is a researcher at Google specializing in database systems, web data extraction, and information integration. His work primarily focuses on extracting structured data from the web, schema matching, and developing techniques for managing and visualizing large datasets, particularly through projects like Google Fusion Tables and WebTables. Madhavan's research interests center around the challenges of working with web data. His work explores methods for extracting structured information from unstructured web content, particularly focusing on tables and lists. He has made significant contributions to the field of schema matching, developing techniques that enable integration of data from diverse sources. His research also extends to geospatial data processing and visualization, where he has developed algorithms for efficiently handling large geographical datasets for map visualization. His publication record shows a consistent focus on practical applications of database research to web-scale problems. The evolution of his work demonstrates a progression from foundational research on schema matching and data integration to applied work on Google products like Fusion Tables, which enable non-experts to work with structured data. His most recent work examines the ecosystem of structured data on the web and how to effectively extract and utilize this information. Madhavan has collaborated extensively with Alon Y. Halevy (43 co-authored papers) and other researchers at Google, forming a core group that has advanced the state of the art in web data management. His work bridges theoretical database research with practical applications, making significant contributions to both academic literature and real-world data management systems.

• Ancient Medicine
• Botany
• Pharmacology
• +3 more

Dr. Maximilian Haars is a postdoctoral research fellow at the Institute for the History of Pharmacy and Medicine, Faculty of Pharmacy, Philipps University of Marburg. As a habilitation candidate, he specializes in ancient pharmacology, Greek lexicography, and historical botany with a focus on Galenic and Theophrastian traditions. Current DFG-funded project: Digital annotated index of medicinal plants in the Galenic Corpus (2021–2026) Key research areas: Galenic pharmacology, Dioscoridean plant identification, ancient medical terminology Recent presentations include topics on Cypriot vegetation, Egyptian botanical traditions, and Galenic text transmission Research Trends: His work bridges classical philology and pharmacological history, emphasizing plant-based therapies, taxonomic evolution from antiquity to modern times, and digital humanities approaches to ancient medical texts. Publications examine elemental qualities in Galenic pharmacology, transformation of medicinal plant knowledge, and comparative studies of ancient botanical systems. Scientific Awards: Autumn Schools (Luxor, Alexandria) - DAAD Accademia Italiana di Storia della Farmacia Poster Prize DFG Grant (2020) Dalberg Prize (2018) MARA Travel Grants (2016) Jerry Stannard Memorial Award (2016) A graduate of Marburg and Greifswald with summa cum laude distinction, Dr. Haars combines textual analysis with pharmacognostic expertise. His collaborative projects include editorial work on pharmaceutical history symposium proceedings and participation in international conferences across Europe and the Middle East.

• Cognitive Aging
• Dementia Research
• Psychosocial Factors in Aging
• +4 more

Privatdozent Dr. Francisca Saveria Rodriguez serves as a Group Leader at the German Center for Neurodegenerative Diseases (DZNE) in Greifswald, Germany. Her work is embedded within the DZNE's Translational Network for Dementia Care Research (TaNDem), fostering interdisciplinary collaboration to address dementia care challenges. Dr. Rodriguez's research program is dedicated to understanding and promoting cognitive health in aging. Key areas of investigation include: Identification of psychosocial protective and risk factors for cognitive decline and dementia Development and evaluation of non-pharmacological interventions (e.g., music therapy, coping strategies) Exploration of socioeconomic determinants of cognitive aging Translation of research findings into practical tools for dementia care and prevention Her recent scholarly output demonstrates a strong focus on evidence-based approaches to dementia care. Systematic reviews on music interventions and memory coping strategies underscore the potential of psychosocial approaches, while cross-national studies reveal how education and income disparities impact cognitive trajectories in aging populations. This body of work informs both clinical practice and public health policy. Dr. Rodriguez's research is supported by multiple funding sources including the Hans and Ilse Breuer Foundation and the DZNE Foundation. Current projects encompass the SoReDem study on social resources in dementia, validation of dementia risk assessment tools, and development of the first evidence-based memory aid handbook tested by older adults with memory concerns. She actively disseminates findings through practical resources such as downloadable posters and handbooks for caregivers and healthcare providers. The Rodriguez research group operates within DZNE's collaborative ecosystem, working closely with clinical partners and community organizations to implement and evaluate interventions in real-world settings. Their current initiatives include testing music interventions for home-based dementia care and refining strategies for strengthening social interactions among people living with dementia.

Enes AyanView profile

Lecturer

• Artificial Intelligence
• Deep Learning
• Medical Image Analysis
• +3 more

Enes Ayan serves as a Doctor Lecturer in the Department of Computer Engineering at Kirikkale University's Faculty of Engineering and Natural Sciences, where he has maintained continuous academic affiliation since his 2014 appointment as Research Assistant. His career trajectory includes completing both master's (2015) and doctoral degrees (2019) in Computer Engineering at the same institution following his 2013 bachelor's graduation from Süleyman Demirel University. Education Bachelor's: Computer Engineering, Süleyman Demirel University (Isparta), 2013 Master's: Computer Engineering, Kirikkale University, 2015 Doctorate: Computer Engineering, Kirikkale University, 2019 Research Focus Dr. Ayan's work centers on deep learning applications across three primary domains: medical imaging (specializing in dental diagnostics, radiology, and endoscopy), security systems (weapon detection and traffic monitoring), and agricultural technology (crop pest classification). His research bridges theoretical AI advancements with practical healthcare solutions, particularly through explainable AI frameworks for dental caries detection and pneumonia diagnosis. Publication Trends Analysis of his 15 most recent publications (2020-2025) reveals intensifying specialization in dental AI applications (60% of 2024-2025 output), with significant contributions to caries detection under prostheses and tooth numbering systems. Concurrently, his work maintains strong threads in security-focused computer vision (UAV-based traffic analysis, weapon detection) and agricultural AI, demonstrating methodological versatility through genetic algorithm optimizations and ensemble CNN architectures. Professional Context No information regarding student supervision, research grants, laboratory facilities, or scientific awards appears in the source materials. His academic progression from Research Assistant to Doctor Lecturer indicates standard career advancement within Kirikkale University's engineering faculty without notable interruptions.

• Operations Management
• Quality Control
• Process Improvement
• +5 more

Prof. dr. Jeroen de Mast is a faculty member at the University of Amsterdam (UvA) , affiliated with the Faculty of Economics and Business and the Section Business Analytics . His research focuses on Lean Six Sigma , statistical engineering , and diagnostic problem solving , with applications in healthcare operations and industrial processes. He has authored numerous publications on topics such as variation reduction, measurement systems, and quality improvement frameworks. Academic Rank: Professor Contact: j.demast@uva.nl Research Trends (2019–2025): His work spans operational excellence , appointment scheduling optimization , and statistical validation , emphasizing interdisciplinary collaboration between statistics, healthcare, and business analytics. Key methodologies include DMAIC , DAPS diagrams , and adaptive polynomials .

• Sports Science
• Exercise Physiology
• Winter Sports Performance
• +3 more

Oyvind Karlsson is a Researcher at Mid Sweden University, affiliated with the Department of Health Sciences in Östersund and the National Winter Sports Center (NVC). His work focuses on optimizing performance and health in elite winter sports athletes, particularly cross-country skiers and biathletes, through rigorous physiological monitoring and data-driven approaches. Dr. Karlsson holds a Doctor of Philosophy (PhD) from Mid Sweden University, culminating in his 2022 doctoral thesis "Monitoring Health Problems and Training to Support Performance in Competitive Cross-Country Ski Athletes," which established his expertise in longitudinal athlete tracking. His research centers on athlete health surveillance, metabolomics-based biomarker identification, and altitude training adaptation. He investigates critical intersections between training load, illness incidence, and performance outcomes, with emphasis on practical applications for national teams. Current projects analyze metabolic responses to exercise, sleep patterns at altitude, and individualized acclimatization strategies. Analysis of his 15 most recent publications reveals a dominant focus on cross-country skiing performance optimization through interdisciplinary methods. His work consistently combines exercise physiology with metabolomics and real-world monitoring, targeting illness prevention and performance enhancement in elite winter sports. Recent studies increasingly incorporate blood-based biomarkers and individual response variability. No scientific awards are documented in available sources. While no formal advising relationships or specific grant funding are mentioned, Dr. Karlsson collaborates extensively with national team staff through the NVC framework. His research directly informs coaching decisions and athlete management protocols for Swedish cross-country skiing and biathlon programs. As a core member of the National Winter Sports Center (NVC), Dr. Karlsson integrates with multidisciplinary teams including sports scientists, physiologists, and medical staff. His work leverages the NVC's specialized facilities for altitude simulation, metabolic testing, and field-based performance analysis during training camps.