جست‌وجوی استاد و پژوهشگر

• Autoimmunity
• Dermatology
• Immunology
• +۴ مورد دیگر

Mary Tomayko, MD, PhD is an Associate Professor of Dermatology and Pathology at Yale University School of Medicine. She serves as Director of the Yale Immunobullous Clinic and Director of Dermatology Medical Student Education. Dr. Tomayko is actively involved in clinical care at Yale Medicine Dermatology, Yale Health, and Yale New Haven Hospital. Her research focuses on understanding immune dysregulation in bullous pemphigoid and mechanisms of long-lasting immunity. The Tomayko Lab has made significant contributions to understanding memory B cell biology, identifying novel pathways essential for immune memory. Her NIH-funded research bridges basic science with clinical applications for autoimmune skin diseases. Dr. Tomayko's clinical expertise encompasses complex autoimmune and inflammatory skin disorders including pemphigus, pemphigoid, epidermolysis bullosa acquisita, atopic dermatitis, vitiligo, alopecia areata, and psoriasis. She employs a comprehensive treatment approach using systemic immunomodulators, biologic agents, traditional immunosuppressants, and phototherapy. Her recent publications (2023-2025) demonstrate active research in autoimmune blistering diseases, with significant work on the psychosocial burden of these conditions, immune checkpoint inhibitor-related dermatological complications, and translational immunology research. Her collaborative work spans multiple disciplines including oncology, immunology, and medical education. Yale Medicine Top Doctor 2023 Yale Medicine Top Doctor 2024 Dr. Tomayko actively mentors students at all levels and contributes to dermatology education at Yale. Her dual MD/PhD training provides a unique foundation for translational research that directly informs her clinical practice in immunodermatology.

Markus Quirmbachمشاهده پروفایل

استاد

• Urban water management
• Hydrology
• Hydraulic engineering
• +۷ مورد دیگر

Prof. Dr. Markus Quirmbach is a Professor of Civil Engineering at Ruhr West University of Applied Sciences, specializing in urban water management, hydrology, and hydraulic engineering. He serves as the responsible coordinator (together with Prof. Dr. Mark Oelmann) of the inter-institute research focus 'Water Economics and Water Management' at HRW and is a professoral member of the Doctoral College NRW since 2021. His research interests span urban water management, flood risk management, climate change adaptation in water systems, radar rainfall data applications, and AI-based flood prediction. Prof. Quirmbach leads several major research projects including RAIN-DL (2025-2028, funded by DFG), BoRSiS (2021-2024, funded by BMBF), and KIWaSuS (2021-2024, funded by BMBF), focusing on innovative solutions for climate-adaptive urban drainage and early warning systems. His recent publications demonstrate a strong focus on integrating artificial intelligence with traditional hydrological modeling, particularly in developing spatiotemporal deep learning approaches for urban flood forecasting and creating dynamic hazard mapping systems. His work increasingly emphasizes blue-green infrastructure solutions, particularly the soil-pipe system ('Boden-Rohr-System') as a multifunctional approach to urban climate adaptation. Prof. Quirmbach has secured significant research funding totaling over €5 million in the past five years and maintains active collaborations with water utilities, municipal authorities, and research institutions across Germany. His research group provides students with opportunities to work on cutting-edge projects that address pressing challenges in urban water management under climate change. As an educator, he teaches courses including Water Engineering I (Hydromechanics, Hydraulic Engineering and Hydrology), Water Management II (Urban Water Management), and specialized modules on canal network calculation and Geographic Information Systems in Water Management for multiple degree programs at HRW.

• Business Sustainability
• Systems Thinking
• Resilience Management
• +۶ مورد دیگر

Dr. Steve Kennedy is an Associate Professor researching business sustainability at Rotterdam School of Management (RSM), Erasmus University Rotterdam, where he has been faculty since 2012. He serves as Scientific Director of the Centre for Eco-Transformation and was Academic Director of the MSc Global Business & Sustainability program from 2015-2021. His institutional affiliations include the Organizations & Natural Environment division of the Academy of Management, the Group for Research on Organizations and the Natural Environment (GRONEN), and the Principles for Responsible Management Education (PRME) network. Dr. Kennedy's research focuses on how systems and resilience thinking can help organizations innovate to tackle grand societal challenges such as climate change and biodiversity loss. His work also encompasses sustainability accounting and reporting, circular economy business models, and responsible management education. His research has been published in top-tier journals including Journal of Management Studies, Journal of Management, Strategic Organization, and Business Strategy & the Environment. His recent publications show a clear trend toward practical applications of sustainability research, with increasing focus on biodiversity impact measurement, circular economy resilience, and systems approaches to sustainability management. The research spans business strategy, organizational theory, and environmental management, reflecting his interdisciplinary approach to sustainability challenges. Dr. Kennedy teaches across multiple educational levels from Executive Education to Bachelor's programs, with specialized MSc courses in Climate Change Strategy Role-Play and Business Sustainability & Social-Ecological Systems. His teaching approach includes collaborative international projects where students from eight business schools across Europe participate in Model United Nations role plays. He maintains active engagement with industry through partnerships with leading sustainability-focused firms, service on the UK Green Building Council (2023-2026), and executive education roles with the Erasmus Center for Innovation Management and the Erasmus Centre for Energy Transition. His additional activities include volunteering with social enterprises and teaching business sustainability through the 2030 HUB Caribbean foundation.

Xavier Busquets Carreteroمشاهده پروفایل

دانشیار

• Digital Strategy
• Innovation Governance
• Digital Transformation
• +۶ مورد دیگر

Xavier Busquets Carretero is an Associate Professor in the Department of Data, Analytics, Technology and Artificial Intelligence at ESADE Business School, where he serves as Academic Director for the Master of Science in Digital Business program in collaboration with SCU in Silicon Valley. He has been a faculty member since 2002 and is affiliated with the GRIE Research Group on Entrepreneurial Initiative. His research focuses on digital strategy, innovation governance, and digital transformation through the lens of network theory and complex systems. Busquets has developed a distinctive research stream applying network science to organizational structures, most notably analyzing FC Barcelona's team dynamics under Guardiola, with publications in high-impact journals including Scientific Reports and Chaos, Solitons & Fractals. His work spans banking, insurance, fintech, healthcare, and media sectors. Busquets has received significant recognition including two IBM Faculty Awards (2007, 2011) and consecutive NACRA Best Case Study Awards (2006, 2007). His publication record shows consistent output in top journals with recent work focusing on AI governance, healthcare ecosystems, and network-based leadership models. IBM Faculty Award (2007, 2011) NACRA Best Case Study Award (2006, 2007) Co-chair of ECIS 2014 and ICMB 2008 conferences Member of Smart Business Network Steering Committee (Beijing 2008) Busquets brings substantial industry experience from executive roles at Telefónica, HP, and Siebel Systems to his academic work. He leads multiple executive education programs and maintains active industry collaborations, particularly in digital transformation projects. His research on network-based organizational analysis bridges academic rigor with practical business applications across multiple sectors.

Laura E. Roseمشاهده پروفایل

استاد پژوهشی

• Evolutionary Biology
• Population Genetics
• Plant-Microbe Interactions
• +۴ مورد دیگر

Research Professor Laura E. Rose leads evolutionary genetics research at the Institute of Population Genetics, Heinrich Heine University Düsseldorf. Her work bridges population genetics, phylogenetics, and plant-microbiome interactions to decode complex adaptations in plant systems. Her research program centers on reconstructing evolutionary histories of adaptive traits through: Quantitative analysis of natural genetic variation under controlled and field conditions Investigation of plant-microbiota metabolic networks and edaphic adaptation Synthetic biology approaches for plant performance optimization Theoretical modeling of plant development-metabolism interfaces Current projects include the Plant Metabolism and Metabolomics Facility and Imaging Platform development. Analysis of her 2016-2023 publications reveals a strategic evolution from foundational population genomics toward integrated plant-microbiome systems biology. Her work demonstrates increasing methodological sophistication in combining field phenotyping with multi-omics approaches, particularly in protist microbiome characterization and defense metabolite pathway analysis across monocot/dicot systems. Key thematic progression shows movement from single-species genetics toward complex community-level interactions. No scientific awards were documented in the provided materials. Mentoring activities and grant funding details were not specified in the source texts.

Rüdiger Glaserمشاهده پروفایل

استاد

• Historical Climatology
• Climate Reconstruction
• Global Change
• +۵ مورد دیگر

Prof. Dr. Rüdiger Glaser holds the Chair of Physical Geography at the University of Freiburg within the Faculty of Environment and Natural Resources. His extensive academic career spans over three decades with significant contributions to climatic geography, particularly in historical climatology and climate change research. He maintains active roles in multiple research projects, editorial boards, and academic committees at both national and international levels. Glaser completed his geography studies at Julius-Maximilians-University in Würzburg (1981-1986) with minors in Botany and Administrative Law, plus additional credits in Geology, Sociology, Spanish, Statistics and IT. His academic progression includes: Diploma thesis on remote sensing with Landsat-5 Thematic Mapper (1986) Doctoral research on climate reconstruction for Mainfranken, Bauland, and Odenwald (1989) Habilitation with thesis on historical climatology in Central Europe since 1000 AD (1997) C3 Professorship at Heidelberg University (2001-2004) C4 Professorship at Freiburg (since 2004) His research focuses on historical climatology, including weather and climate reconstruction, climate extremes analysis, and social conceptualization of climate phenomena. Glaser has developed the Historical Climate Database Germany and conducts scale-related analyses of global change across different landscape zones. His environmental planning work addresses sustainability processes, Agenda 21 implementation, and assessment procedures like ecological footprint analysis. In e-Geography, he applies remote sensing techniques and develops e-learning modules for physical geography education. His regional expertise centers on Central Europe and North America, with particular attention to global change manifestations in these regions. His publication record shows a clear trend toward applied climate research with increasing focus on municipal climate adaptation, risk archetypes, and cross-border cooperation in the Upper Rhine region. Recent work integrates climate science with social dimensions, particularly examining how climate change impacts different demographic groups and economic sectors, with special attention to vulnerable populations like the elderly. Glaser's scientific recognition includes: Instructional Development Award from University of Freiburg (2014) Media Prize of the University of Freiburg (2004) Virtual Teaching Award from Baden-Württemberg (2003) Canadian Government Scholarship (2002) Election as full member of the German Academy of Regional Studies (2004) As an academic advisor, Glaser has supervised numerous doctoral and master's students whose research spans climate vulnerability assessment, energy efficiency, renewable energy potential, and urban climate adaptation. He serves on multiple examination boards and selection committees, including for the M.Sc. Geography of Global Change program. His current research is supported by diverse funding sources including EU INTERREG, DFG, and the German Federal Ministry for the Environment. Glaser leads research teams working on transnational climate adaptation projects like Clim'Ability Care and RiverDiv, which involve collaboration between German, French, and Swiss institutions. His work emphasizes practical applications of climate science for municipal decision-making and cross-border environmental management in the Upper Rhine region.

Yang Liuمشاهده پروفایل

استاد

• Formal Methods
• Software Engineering
• Security
• +۷ مورد دیگر

Yang Liu is a Full Professor and University Leadership Forum Chair at the School of Computer Science and Engineering, Nanyang Technological University (NTU) in Singapore. He serves as Programme Director for HP-NTU Digital Manufacturing Corp Lab, Deputy Director of the National Satellite of Excellence of Singapore, and Cluster Director in Cybersecurity at Energy Research Institute @NTU. His research spans Cybersecurity , Software Engineering , and Artificial Intelligence . He leads research in malware modeling and detection, vulnerability analysis using machine learning and program analysis, formal verification of security systems, program specification learning, performance analysis, Android system security, and AI security, robustness, fairness, and explainability. His notable work includes the Process Analysis Toolkit (PAT) for model checking and the Deep-Series tools for deep learning testing. Professor Liu has published extensively in top-tier conferences including ASE, ICSE, FSE, ISSTA, and S&P. His research demonstrates strong trends toward integrating AI/ML techniques with traditional software engineering and security approaches, particularly focusing on large language models for code analysis, vulnerability detection, and program repair. Recent publications show a growing emphasis on blockchain security, smart contract analysis, and addressing security challenges in AI systems. NRF Investigatorship (Class 2020) ACM's Distinguished Speaker Nanyang Research Award (Young Investigator) Microsoft Asia Research Fellowship 20 Year ICFEM Most Influential System Award for PAT Multiple ACM SIGSOFT Distinguished Paper Awards Professor Liu actively advises students and has seen notable student achievements, including Singapore Data Science Consortium research award winners and AISG PhD Fellowship recipients. His research is supported by numerous grants including a $900,000 NTU-NAP grant for Formal Verification on Cloud and a $471,000 grant for Vulnerability Detection in Binary Code. He leads the HP-NTU Digital Manufacturing Corp Lab and contributes to RollsRoyce@NTU Corporate Lab research on complex business systems simulation.

Pinjia Heمشاهده پروفایل

استادیار

• Software Engineering
• Natural Language Processing
• Systems
• +۴ مورد دیگر

Pinjia He is an Assistant Professor and Presidential Young Fellow at The Chinese University of Hong Kong, Shenzhen's School of Data Science. He is also recognized as a national-level young talent in China. His academic journey includes a postdoctoral position at ETH Zurich's Department of Computer Science under Prof. Zhendong Su, a Ph.D. in Computer Science and Engineering from The Chinese University of Hong Kong supervised by Prof. Michael R. Lyu, and a B.E. in Computer Science and Technology from South China University of Technology. Ph.D. in Computer Science and Engineering, The Chinese University of Hong Kong Postdoctoral Scholar, ETH Zurich B.E. in Computer Science and Technology, South China University of Technology Dr. He's research spans software engineering, natural language processing, and systems, with particular focus on (1) AI for SE (e.g., LLM for code, AIOps), (2) SE for AI (e.g., LLM safety), and (3) software testing. He is renowned for his work on robust NLP systems and software log analysis. His research has been published at top venues including ICSE, FSE, ASE, ISSTA, ICLR, and OSDI. His publication trends show a consistent focus on log analysis systems, with recent work shifting toward LLM applications in software engineering and safety evaluation of conversational AI systems. His research demonstrates strong industry impact with tools downloaded over 60,000 times by more than 450 organizations. Most Influential Paper Award (ISSRE) IEEE Open Software Services Award Dr. He actively contributes to the academic community as Social Media Co-Chair for FSE 2025, Associate Editor of TOSEM, and serves on program committees for major conferences including FSE 2025, ICSE 2025, ISSTA 2025, and ASE 2024. His GitHub repositories (logparser, loglizer, loghub) have garnered over 5,000 stars and significant industry recognition including from IBM. While specific grant information isn't detailed in the provided text, his extensive publication record and tool development suggest substantial research funding. His work has been cited over 5,000 times according to Google Scholar, and his open-source tools have been widely adopted in both academia and industry. His current research focuses on advancing the intersection of software engineering and artificial intelligence, particularly in leveraging LLMs for software development tasks while ensuring their safety and reliability.

Yutian Tangمشاهده پروفایل

استادیار

• AI+SE
• Large-language Model+SE
• Program Analysis
• +۵ مورد دیگر

Dr. Yutian Tang serves as an Assistant Professor (UK Lecturer) and Principal Investigator at the School of Computing Science, University of Glasgow, where he supervises PhD students and leads research in AI-driven software engineering. His academic journey includes a PhD from The Hong Kong Polytechnic University's Department of Computing. His research spans AI+SE integration , particularly focusing on Large Language Models for program analysis, software testing, and Android security. Key areas include: LLM-assisted vulnerability detection and repair Empirical studies of real-world software systems Privacy protection mechanisms Configuration compatibility in mobile applications Smart contract security optimization His publication portfolio shows a clear trajectory toward AI-augmented software engineering , with recent work demonstrating how LLMs can enhance taint analysis, binary code similarity detection, and test generation. This evolution reflects the field's broader shift toward AI integration while maintaining rigorous empirical validation. Award highlights include: Best Industry Paper Award at ISSRE'18 Elevation to IEEE Senior Member (2024) Three Android OS defects confirmed by Google Security Team As an active researcher and community contributor, Tang serves on 40+ program committees including PLDI, ICSE, and FSE. His work receives funding from National Natural Science Foundation of China, Shanghai Science Commission, OpenAI, and Google. Current projects focus on automated bug localization and LLM-based testing frameworks, with recent grants from OpenAI Cybersecurity and Google Cloud programs. He leads research groups investigating Android security and AI-assisted program analysis, collaborating with institutions like Lund University.

Roustiam Chakirovمشاهده پروفایل

استاد

• Control Engineering
• Electromobility
• Mechatronic Vehicle Systems
• +۴ مورد دیگر

Professor Roustiam Chakirov serves as a faculty member in the Department of Engineering and Communication at Bonn-Rhein-Sieg University of Applied Sciences (H-BRS), specializing in control engineering for automotive systems. His work bridges theoretical research and industrial applications in sustainable mobility and energy systems. Education: Doctorate in Electrical Drives/Control Engineering, Nizhny Novgorod University of Technology, Russia Studies in Automation Engineering Research Focus: Chakirov's work centers on electromobility , mechatronic vehicle systems , and renewable energy integration . His expertise spans rapid control prototyping , neural networks for photovoltaic systems , and energy efficiency optimization through adaptive control. Current projects address vehicle electrical system management, wind-to-heat conversion, and smart microgrid integration for electric vehicles. Publication Trends: His 2006-2015 publications reveal a consistent trajectory from foundational control theory toward applied sustainable mobility solutions. Key themes include photovoltaic optimization (2015), multi-bus vehicle power management (2014), and electric vehicle charging coordination (2013), demonstrating interdisciplinary convergence of control engineering, renewable energy, and automotive systems. Scientific Recognition: Honorary Doctorate from Chernihiv National University of Technology (2016) for German-Ukrainian research cooperation in Renewable Energies and Electromobility Research Leadership: Chakirov directs third-party funded projects including the TREE-Energy Lab (TRE³L) partnership with GKN Driveline and GKN Sinter Metals. His work receives support from the German Academic Exchange Service and involves Horizon 2020 collaborations, focusing on hydrogen technology, powder metallurgy, and eco-mobility solutions. Laboratory Infrastructure: He operates within H-BRS's TREE-Energy Lab complex comprising Powder Fabrication-Lab, Mobility-Lab, Hydrogen-Lab, and Simulation-Lab, enabling integrated research from component design to system-level energy management.

• UAV photogrammetry
• Remote sensing
• Geomorphological monitoring
• +۷ مورد دیگر

Anette Eltner is a Junior Professor for Geosensor Systems at the Technical University of Dresden since 2021. Her work focuses on developing innovative methods for environmental monitoring using AI and remote sensing technologies. She leads research projects that aim to improve flood forecasting systems and monitor geomorphological changes through advanced imaging techniques. Her educational background includes: PhD in Geography from TU Dresden (2016), awarded by the German working group for geomorphology Diploma in Geography from TU Dresden (2010) with minors in Photogrammetry/Remote Sensing, Soil Science and Hydrology Professor Eltner's research spans multiple cutting-edge areas in geospatial technology and environmental science. She specializes in UAV photogrammetry and remote sensing, developing methods for precise geomorphological and hydrological monitoring. Her work integrates artificial intelligence with environmental sciences to create more accurate predictive models for natural processes. She focuses particularly on erosion processes in fragile landscapes and has pioneered techniques for spatio-temporal high resolution topography using laserscanning, structure-from-motion, and time-lapse imaging. Her innovative approach to image processing enables automatic feature detection and tracking in geographic applications, while her development of low-cost geosensor systems makes advanced monitoring accessible in resource-limited settings. Her publication record demonstrates consistent advancement from foundational photogrammetric techniques to sophisticated AI integration for real-time environmental assessment. The research shows increasing emphasis on practical flood warning applications and dynamic landscape monitoring, particularly for small waterways where traditional monitoring systems are lacking. Her notable scientific achievements include: PhD thesis award from the German working group for geomorphology (AK Geomorphologie) TUD Young Investigator status (recognizing excellent, independent junior research group leaders) Editorial board membership for Geoscientific Instrumentation, Methods and Data Systems and Photogrammetric Record Professor Eltner leads the "Artificial Intelligence for Flood Warning (KIWA)" project, evaluating camera-based water level monitoring systems along small tributaries of the Elbe River in Saxony. Her research group develops AI-supported methods to analyze water surface imagery and predict flood events in small waterways. She has secured funding for projects in Germany and internationally, including current work in Oman combining cameras and seismic sensors to monitor rare flood events in wadis. Her team is developing systems that allow sensors to communicate with each other for dynamic environmental monitoring. Her laboratory work focuses on developing cost-effective monitoring solutions using accessible technology like Raspberry Pi computers and standard cameras. She has demonstrated that these low-cost systems can effectively monitor significant landscape changes, making advanced environmental monitoring more widely available. Current projects involve creating 3D point cloud analysis methods that incorporate temporal components to better predict dynamic processes like soil erosion, rockfalls, and landslides.

Çiğdem Bozdağمشاهده پروفایل

دانشیار

• Media Literacy Education
• Social Media Studies
• Migration and Society
• +۵ مورد دیگر

Çiğdem Bozdağ is an Associate Professor at the Faculty of Pedagogy and Educational Sciences, University of Bremen, Germany. Her academic work focuses on media literacy education, social media studies, and the intersection of media with migration and diverse societies. She contributes significantly to understanding how digital media shapes participation in increasingly diverse and polarized societies through rigorous research and community-engaged scholarship. Bozdağ's research interests span several interconnected areas within media studies and education. She specializes in media literacy education for diverse societies, examining how educational approaches can be made more inclusive for students from various cultural backgrounds. Her work on social media practices explores how users navigate political polarization online, manage diverse networks, and share news in authoritarian contexts. She also investigates multilingual media repertoires among young people in migration societies, analyzing how language choices shape media consumption and participation. Her methodological approach frequently employs participatory action research, emphasizing collaboration with communities rather than research on communities. Her recent publications demonstrate a clear trajectory toward understanding resilience in media ecosystems. She examines how audiences resist disinformation through multi-level factors, explores disconnectivity as both resistance and control mechanism, and investigates inclusive approaches to media education that recognize diverse cultural backgrounds. Her work consistently bridges theoretical frameworks with practical implications for media education and democratic participation in increasingly fragmented media environments. Bozdağ actively collaborates with scholars across Europe, particularly with Yasemin Karakaşoğlu at the University of Bremen. She contributes to editorial boards and thematic issues focused on inclusive media literacy. While specific grant information isn't detailed in the available publications, her participatory action research methodology suggests engagement with community-based projects and educational initiatives aimed at addressing media literacy gaps in diverse populations. Her research demonstrates how media education can move beyond culture-blind approaches while avoiding over-emphasis on cultural differences, creating space for more nuanced understanding of how young people navigate media landscapes in superdiverse classrooms and neighborhoods. This work has significant implications for educational policy and practice in increasingly multicultural societies.

Jan Schillerمشاهده پروفایل

پژوهشگر

• Adult Education
• Continuing Education
• Lifelong Learning
• +۴ مورد دیگر

Dr. Jan Schiller serves as a Researcher at the Department of Continuing Education and Lifelong Learning, Helmut Schmidt University in Hamburg, where he has been employed since November 2016. His work bridges academic research and practical application in adult education policy and digital transformation. He earned his doctorate with the dissertation Education for an Uncertain Future: Temporal Agendas in the Context of Continuing Education , which received the 2022 Dissertation Prize from the German Society for Academic Continuing Education and Distance Learning (DGWF). His educational background demonstrates deep engagement with the temporal dimensions of learning and educational policy frameworks. Dr. Schiller's research centers on transformative digital competence in higher education, temporal agendas in education connected to sociology and philosophy of time, European/national educational policy, and academic continuing education formats. His work critically examines how time consciousness shapes educational responses to uncertainty and digital disruption, particularly in adult learning contexts. He investigates the interplay between policy frameworks, digital transformation, and the temporal experiences of learners in contemporary society. Analysis of his 2021-2025 publications reveals three dominant trends: 1) Theoretical development of transformative digital competence frameworks for higher education, 2) Critical examination of temporal dimensions in educational policy and practice, and 3) Comparative analysis of international influences on adult education systems. His work consistently connects digital transformation with temporal consciousness, showing how educational institutions navigate uncertainty through temporal reorientation. Scientific recognition includes: 2022 Dissertation Prize by the German Society for Academic Continuing Education and Distance Learning (DGWF) Dr. Schiller has secured significant research funding through multiple projects including the ERASMUS+ initiatives INTALL and COMPALL (focusing on international comparative adult education and open education), and the current dtec.bw project DigiTaKS* on key digital competencies for academic careers. His grant work emphasizes practical implementation of research findings in university continuing education structures, particularly regarding non-traditional student access and digital competence development. As core member of the Chair of Continuing Education and Lifelong Learning led by Prof. Dr. Sabine Schmidt-Lauff, he collaborates with a multidisciplinary team including Marie Rathmann and Therese Rosemann on advancing digital transformation in higher education through the DigiTaKS* project, while maintaining active participation in the German academic society for educational science.

Marie Rathmannمشاهده پروفایل

پژوهشگر

• Adult Education
• Digital Transformation
• Higher Education
• +۴ مورد دیگر

Marie Rathmann is a Researcher and doctoral candidate at Helmut Schmidt University's Chair of Continuing Education and Lifelong Learning in Hamburg, Germany. She actively contributes to two major dtec.bw-funded research initiatives: DigiTaKS* (Digital Key Competencies for Study and Career) and hpc.bw (Competence Platform for Software Efficiency and Supercomputing) at the Chair of High Performance Computing. Her work bridges digital transformation with adult education theory, focusing on practical implementations in academic and professional contexts. Rathmann's research investigates how digitality reshapes time, space, and media appropriation in everyday educational practices. She develops theoretical frameworks around agency constitution in digital environments while examining transformative digital competencies, critical thinking development, and ethical implications of artificial intelligence in education. Her methodology combines practice theory with multi-perspective analyses to address equity challenges in digitally mediated learning spaces, particularly emphasizing student experiences in higher education settings. Her publication portfolio (2021-2025) reveals consistent exploration of digital competencies across educational contexts, with recurring themes including temporal dimensions of academic work, media appropriation patterns, and AI ethics in student practices. The research demonstrates strong interdisciplinary connections between educational theory, digital sociology, and learning technology design, often employing comparative and multi-level analytical approaches. Scientific Awards: First place for doctoral project at DGfE Summer School for Qualification Projects awarded by German Society for Educational Science (DGfE) Rathmann's research is supported by competitive dtec.bw grants funding the DigiTaKS* and hpc.bw projects. While currently completing her doctoral studies, she collaborates extensively with senior researchers but has not yet assumed formal student advising responsibilities. Her grant work focuses on developing practical frameworks for digital competency acquisition in academic and professional transitions. She operates within Prof. Dr. Sabine Schmidt-Lauff's research team at the Chair of Continuing Education and Lifelong Learning, maintaining close collaboration with Dr. Therese Rosemann and Dr. Jan Schiller. This interdisciplinary unit specializes in analyzing digital transformation impacts on educational structures, with particular expertise in document analysis, competency modeling, and policy development for adult learning ecosystems.