جست‌وجوی استاد و پژوهشگر

Richard Leibbrandtمشاهده پروفایل

مدرس

• Cognitive Science
• Machine Learning
• Computational Linguistics
• +۴ مورد دیگر

Dr. Richard Leibbrandt is a Lecturer at Flinders University's College of Science and Engineering, with full membership in the Medical Device Research Institute and associate membership in the Flinders Digital Health Research Centre. He holds a PhD from Flinders (2009) focused on computational models of language acquisition in children. His interdisciplinary background bridges psychology and computer science. Research Interests: Leibbrandt specializes in cognitive science, human-machine language learning, and human-centered computing systems. His work spans virtual agents, digital health applications, neural behavior modeling, and AI-driven diagnostic tools. Key domains include: Machine learning in healthcare (e.g., PCR optimization, mental health sensing) Virtual reality systems for behavioral research Social determinants of health analytics Computational neuroscience (neural coding, insect pursuit dynamics) Research Output Trends: Recent publications (2020-2025) demonstrate strong emphasis on AI/ML applications in biomedicine, including smart diagnostic devices, virtual reality behavioral platforms, and computational neuroscience. Health technology innovation is a consistent theme, with 30% of works involving clinical translation studies. Projects & Supervision: Active in ARC/NHMRC initiatives including 'From Talking Heads to Thinking Heads' and neuroimaging projects. Supervised 2 AI-focused students. Secured grants for virtual patient training systems in clinical education. Affiliations: Contributes to UN Sustainable Development Goals through digital health research. Associated labs include the Medical Device Research Institute (full member) and Flinders Digital Health Research Centre (associate member).

Michael Normanمشاهده پروفایل

دانشیار

• Library Science
• Digital Libraries
• User Studies
• +۵ مورد دیگر

Michael Norman is an Associate Professor in the University Library at the University of Illinois at Urbana-Champaign . As the Discovery Services Librarian and ILS Coordinator , he specializes in improving access to library resources through innovative discovery systems and metadata standards. Email: manorman@illinois.edu Office: 450G Main Library, Urbana, IL His research focuses on library science , digital libraries , and user experience , particularly in: Bento discovery systems Copyright renewal analysis MARC to schema.org conversion User behavior in library gateways Herbicide interactions with plant physiology (past work) Recent publications highlight his work on transaction log analysis, federated journal access, and Primo system testing. Earlier studies (1990s–2000s) explored herbicide resistance mechanisms and photosynthetic pathways in plants. He has contributed to advancements in library data analytics, system usability, and digital resource integration, while earlier collaborations addressed agricultural science challenges like Spartina control and clomazone herbicide selectivity.

Rebekka Benferمشاهده پروفایل

پژوهشگر ارشد

• Energy and Systems Monitoring
• Data-Driven Optimization of Building Operation
• Semantic Digital Twins
• +۳ مورد دیگر

Rebekka Benfer, M.Eng., is a Research Fellow at the Chair of Energy Efficient and Sustainable Design and Building (Prof. Lang) at the Technical University of Munich . Her work focuses on energy and systems monitoring, data-driven optimization of building operations, and semantic digital twin development for building systems. She actively contributes to research at the intersection of building automation, Industry 4.0, and sustainable design. Education : Master of Engineering in Green Building Engineering (2021-2024) and Bachelor of Engineering in Energy and Building Services Engineering (2017-2021) from Cologne University of Applied Sciences. Professional Background : Previously worked as a Research Fellow at the Laboratory for Building Automation and Control Systems (2021-2024) and as a Working Student in Building Automation at ZWP Ingenieur-AG (2020-2021). Her recent publications emphasize semantic interoperability, knowledge graph integration, and automated testing of building automation systems. Current activities center on advancing data-driven building optimization and creating intelligent building representations through digital twins.

Levente Seláfمشاهده پروفایل

دانشیار

• Medieval and Early-Modern Hungarian Literature
• Historical Poetics and Versification
• Intertextuality and Formulaic Style
• +۴ مورد دیگر

Levente Seláf, habilitated Associate Professor at Eötvös Loránd University (ELTE), Faculty of Humanities, teaches and researches in the Department of Early Hungarian Literature within the Institute of Hungarian Literature and Cultural Studies. His profile bridges traditional philology and digital humanities, with a strong focus on medieval and early-modern Hungarian, French, German and Italian poetry, versification theory, and large-scale corpus building. Education & Academic Status: Habilitated Doctor (Habil.) – higher doctoral qualification Academic rank: Associate Professor Contact: selaf.levente@btk.elte.hu | +36-1-411-6500/ext.5119 | Room 316, 4th floor, 1088 Budapest, Múzeum körút 4/A Research Interests: Seláf’s work revolves around historical poetics, formulaic style, intertextuality, multilingual text-setting, and computational metrics. He leads corpus-creation projects that digitise and annotate historical Hungarian verse for stylometric and metrical analysis, while simultaneously publishing close readings of medieval French and German texts that shaped images of Hungary in European literature. Publication Trends: Between 2017 and 2024 he averaged three peer-reviewed studies yearly, moving from strictly philological articles to method-oriented papers that combine traditional literary history with digital tools. Recurring themes are epic formulae, rhyme algorithms, East-Central-European imagology, and the interplay of lyric and epic modes in wartime songs. Awards & Grants: No competitive awards or named grants are mentioned in the supplied sources. Doctoral Supervision & Projects: No individual PhD advisees are listed; he currently contributes to the “Plotting Poetry” international working group and heads the “Régi magyar verskorpusz” digital repository initiative. Labs & Teams: He coordinates the Hungarian segment of the Basel-based “Plotting Poetry” consortium and collaborates with the MTMT (Hungarian Scientific Bibliography) metadata service, integrating ELTE’s medieval poetic records into national and European infrastructures.

Juliane Fluckمشاهده پروفایل

استاد

• Biomedical Informatics
• Information Management
• Semantic Data Integration
• +۵ مورد دیگر

Juliane Fluck serves as Head of the Knowledge Management Program Area and Acting Deputy Scientific Director at ZB MED Information Center for Life Sciences, while also holding a W2 Professorship for Information Management at the Faculty of Agriculture, University of Bonn. She coordinates the National Research Data Infrastructure for Personal Health Data (NFDI4Health) consortium and has led this initiative since 2020. Her research focuses on optimizing the findability, accessibility, interoperability, and reusability (FAIR) of biomedical data through semantic integration and advanced terminology services. With expertise spanning text mining, data infrastructure development, and semantic annotation, she bridges computer science and life sciences to create systems that make biomedical data semantically readable for computers. Analysis of her recent publications reveals strong emphasis on synthetic health data generation, privacy protection mechanisms, FAIR data implementation across domains including agriculture (FAIRagro), and specialized terminology services for biomedical research. Her work consistently addresses challenges in health data management, with particular attention to pandemic response data (especially COVID-19) and rare disease research. Prof. Fluck actively contributes to critical advisory roles including the Advisory Board of the Center for Cancer Registry Data at the Robert Koch Institute, Scientific Advisory Board of Health.AI, and the INA expert group for Interoperability Generator for Digital Medicine. She heads the Knowledge Management program area at ZB MED and leads multiple national initiatives including NFDI4Health, demonstrating significant leadership in Germany's research data infrastructure landscape. Her work connects academic research with practical implementation in health data management systems used by researchers and clinicians.

Gail Rosenمشاهده پروفایل

استاد

• Machine Learning
• Microbiome
• Metagenomics
• +۶ مورد دیگر

Gail Rosen is a Professor in the Department of Electrical and Computer Engineering at Drexel University, where she leads the Ecological and Evolutionary Signal Processing and Informatics (EESI) Lab and chairs the University Research Computing Facility . She also directs Drexel's Center for Biological Discovery from Big Data and serves on the editorial board of the BMC Microbiome journal. Education: PhD, MS, and BS in Electrical and Computer Engineering from Georgia Institute of Technology (2006, 2002, 1999). Her research spans machine learning , metagenomics , microbiome analysis , and evolutionary computation . Recent work focuses on deep learning for genomic data, DNA language models, scalable gene embedding methods, and microbiome risk prediction. She pioneered embedding techniques for 16S rRNA sequences and developed tools like theseus for microbial community analysis. Active in diversity initiatives, she co-organizes the AIME Scholarship Program targeting underrepresented groups in engineering. Her accolades include the NSF CAREER award , multiple Drexel internal grants, and the Stein Family Fellowship . Labs and teams: Ecological & Evolutionary Signal Processing & Informatics Lab Drexel's Center for Biological Discovery from Big Data

Alexander Sczyrbaمشاهده پروفایل

استاد

• Computational Metagenomics
• Bioinformatics
• Single Cell Genomics
• +۶ مورد دیگر

Prof. Dr. Alexander Sczyrba is a Professor at Bielefeld University, serving as group leader of the Computational Metagenomics Group within the Faculty of Engineering. He holds multiple leadership positions including head of the Computational Metagenomics group at the Center for Biotechnology (CeBiTec), head of Bielefeld University Bioinformatics Services (BiBiServ), and head of Cloud Computing at the Institute for Bioinformatics Infrastructure (BIBI). His work bridges bioinformatics, microbiology, and data science to address challenges in analyzing complex microbial communities. Prof. Sczyrba specializes in computational approaches to study the 'microbial dark matter' - over 99% of microbial species that cannot be grown in pure culture. His research focuses on developing high-throughput computational techniques for analyzing massive metagenomic datasets, such as the cow rumen metagenome project (over 500 Gbp of sequence data) conducted in collaboration with the DOE Joint Genome Institute. From this dataset, his team identified more than 27,000 putative carbohydrate-active genes and assembled 15 uncultured microbial genomes. Analysis of his recent publications (2023-2025) reveals a strong emphasis on developing computational infrastructure for metagenomics research, with particular focus on cloud-based workflows, data submission standards, and integration with national research data infrastructure. His work demonstrates interdisciplinary applications across environmental engineering, biogas production, soil science, and clinical settings, reflecting the collaborative nature of modern bioinformatics research. Prof. Sczyrba actively mentors researchers and collaborates with institutions including the DOE Joint Genome Institute. He is developing new tools specifically designed for metagenomic assembly challenges that standard genome assembly tools cannot handle due to the complexity of mixed microbial communities. His work on single cell genomics focuses on automated bioinformatic pipelines to address coverage bias introduced by amplification techniques. He is a key contributor to Bielefeld University's Microbiology in a data-driven world (MDDW) focus area, which brings together researchers from biology, medicine, chemistry, and technology faculties to leverage bioinformatics and biotechnology strengths for studying and improving microbiomes. His office is located at UHG M3-111, and he teaches courses including 'Application-oriented analysis of post-genome datasets' and 'Parallel and Distributed Computing'.

Katharina Wulffمشاهده پروفایل

دانشیار

• Chronobiology
• Sleep Research
• Eco-Chronobiology
• +۶ مورد دیگر

Katharina Wulff is an Associate Professor at the Department of Molecular Biology, Umeå University, and affiliated with the Wallenberg Center for Molecular Medicine (WCMM). Her research focuses on physiological mechanisms of mammalian timing behavior, daylight's impact on circadian rhythms, and connections to mental health and climate adaptation. Research Tools: Actigraphy, EEG, ESM, microdialysis, eye tracking Collaborations: Urban architects, lighting designers, engineers Labs: Katlab, Daylight Laboratory, Photon Space Her work spans Eco-Chronobiology and Sleep Research, utilizing natural daylight studies in subarctic conditions and home environments. She leads the Nordic Daylight Research Programme, aiming to integrate daylight into urban design to counteract artificial lighting deprivation. Recent publications highlight daylight's effects on attention and affect, light exposure analysis tools, and urban planning priorities. Her studies often involve longitudinal data from the NorthPop birth cohort, linking circadian rhythms to life-course health and mental disorders.

Marcus Schreyerمشاهده پروفایل

استاد

• Building Information Modeling (BIM)
• Digital Construction
• Construction Management
• +۴ مورد دیگر

Marcus Schreyer serves as Professor for Digitalized Building at Regensburg University of Applied Sciences within the Faculty of Civil Engineering. His academic appointment focuses on digital methods in construction management, particularly Building Information Modeling (BIM) and industrial construction approaches. Schreyer maintains an active teaching schedule with courses spanning BIM applications, digital transformation in construction, and model-based project management. His research interests center on practical implementations of digital technologies in construction processes. Schreyer specializes in integrating BIM across the construction lifecycle, developing model-based methods for project management, and advancing industrial construction techniques. His work bridges academic research with real-world industry applications, focusing on how digital transformation can improve efficiency, collaboration, and quality in construction projects. Analysis of Schreyer's publication history reveals consistent focus on BIM implementation across various construction contexts. His research spans infrastructure projects, industrial prefabrication, and digital project management, with particular emphasis on practical applications rather than theoretical frameworks. The publications demonstrate evolution from early work on material databases and information systems to contemporary research on integrated digital processes and model-based collaboration. Schreyer has held significant advisory roles including membership in the Expert Panel for BIM World Munich and the Advisory Board of buildingSMART Germany. He contributed to national standards development through participation in VDI 2552 guideline development for information requirements and terminology. His industry engagement extends to serving on the Steering Committee for Digitalization of the German Construction Association and previously as a BIM expert for the German Ministry for Traffic and Digital Infrastructure. His professional journey includes substantial industry experience prior to academia, having worked as a project manager for Drees & Sommer Group across multiple countries and as Digital Transformation Manager at Max Bögl Construction Group. This industry background informs his practical, application-focused academic approach to digital construction methods.

Benoit Baudryمشاهده پروفایل

استاد

• Software testing
• Software diversity
• Randomization
• +۱ مورد دیگر

Benoit Baudry is a Professor in Software Technology at Université de Montréal, Canada, with previous affiliation at KTH Royal Institute of Technology in Sweden. His research focuses on automated software engineering with emphasis on practical execution-based approaches. Baudry's core research interests include: Software testing : Automated test generation, mocking, and improvement techniques Software diversity : Runtime protection through variant execution and WebAssembly transformations Randomization : Fuzzing and chaos engineering for robustness validation DevOps : Supply chain analysis and dependency management in Maven ecosystems Analysis of his 15 most recent publications (2022-2025) reveals strong emphasis on: Software supply chain security and dependency management (6 publications) Test automation and mock generation techniques (4 publications) WebAssembly compilation and security (3 publications) Software-art interdisciplinary research (2 publications) His work consistently combines empirical analysis with tool development across Java and WebAssembly ecosystems. Baudry actively contributes to the academic community through program committees (ASE, ESEC/FSE, ICSE, ICST) and keynote presentations. He leads research in software diversity through his Software Diversity Lab .

• Genomic Surveillance
• Antimicrobial Resistance
• Pathogen Genomics
• +۴ مورد دیگر

David Aanensen serves as Director of The Centre for Genomic Pathogen Surveillance and Professor at the Nuffield Department of Medicine, University of Oxford. He leads genomic surveillance initiatives for endemic pathogens and outbreak scenarios, integrating epidemiological data with genomics to inform public health interventions globally. His research focuses on genomic surveillance of antimicrobial-resistant pathogens through platforms like Epicollect5 (mobile data gathering), Microreact (genomic epidemiology visualization), and Pathogenwatch (global surveillance platform). Collaborating with major agencies including CDC, ECDC, WHO, and Public Health England, his work enables real-time data interpretation for infection control decisions. Recent publications demonstrate expertise in Klebsiella pneumoniae vaccine development, typhoid fever AMR meta-analysis, SARS-CoV-2 phylodynamics, and carbapenem-resistant pathogen spread. His work spans bacterial genomics, plasmid evolution, phylogenetic clustering, and public health informatics with emphasis on actionable surveillance systems. As Director of the NIHR-funded Global Health Research Unit on Genomic Surveillance of Antimicrobial Resistance, he implements genomic surveillance systems in The Philippines, Colombia, Nigeria, and India. His team develops analytical frameworks linking genomic data with phenotypic and epidemiological information for priority pathogens under national AMR strategies. Key projects include the Epicollect5 platform (>28 million data points across 14,000 projects) and Pathogenwatch for rapid resistance genotype prediction. His laboratory functions as an international hub for genomic epidemiology, working directly with public health agencies to transform genomic data into actionable public health intelligence.

Pavel Pavlovمشاهده پروفایل

استاد

• Geodesy
• Geoinformatics
• GIS
• +۳ مورد دیگر

Professor Pavel Pavlov serves as faculty in the Department of Geodesy and Geoinformatics at the Faculty of Geodesy, University of Architecture, Civil Engineering and Geodesy (UACEG) in Bulgaria. He maintains office hours in cabinet P311 and teaches Geoinformatics 1 and 2 parts to students, with exam dates scheduled through December 2025. His research focuses on practical applications of geospatial technologies, with expertise spanning geodesy, GIS development, and cadastral systems. Professor Pavlov has developed numerous specialized software tools including geodetic measurement processing applications, data exchange systems for total stations, SeaGeo for marine geodesy, and visualization tools like cadview for Android. His technical proficiency covers multiple programming languages including C, C++, SQL, and specialized geospatial languages. Professor Pavlov's publications show consistent development of educational materials for geoinformatics, with updated course outlines published regularly. His 2023 works demonstrate integration of modern software approaches with traditional geodetic principles, particularly in data formats and processing techniques. His educational philosophy emphasizes rigorous academic standards, requiring all exercises to be completed and certified before exam eligibility. He contributes to technical standards for geodetic measurements in Bulgaria, including SKGIOM data formats and national cadastral regulations. His work bridges theoretical geospatial concepts with practical implementations, providing essential tools for both teaching and professional geodetic applications.

Antje Pautzkeمشاهده پروفایل

پژوهشگر

• Modern German Literature
• University History
• Science History
• +۵ مورد دیگر

Antje Pautzke serves as Deputy Head of the Uwe Johnson Research Center and Archive at the University of Rostock's Institute for German Studies within the Faculty of Philosophy. Her primary responsibilities include cataloging Johnson's manuscripts and letters, preparing the Complete Works Edition of Uwe Johnson, and supporting archive users. Her research spans modern German literature, university and science history, museum theory, and archival science. Pautzke's scholarly work demonstrates deep engagement with literary archives, manuscript organization, author correspondence, and textual scholarship, with particular focus on Uwe Johnson's work and legacy. Analysis of her publications reveals consistent methodological approaches to archival research, with recurring themes of document organization, manuscript accessibility, and the relationship between authors and their archives. Her work bridges literary scholarship with practical archival science, examining how researchers interact with literary collections and how these collections shape scholarly interpretation. Pautzke completed her studies in German and Political Science at the University of Rostock by 2009. From 2010-2012, she worked as a research assistant on projects concerning habilitation history and attention rhetoric at the Institute for German Studies before joining the Uwe Johnson Research Center in 2012, where she simultaneously pursues her dissertation on Uwe Johnson and the Leipzig Circle of Friends.

Stefanie Weidtkamp-Petersمشاهده پروفایل

دانشیار

• Plant Biology
• Bioimaging
• Image Analysis
• +۳ مورد دیگر

Stefanie Weidtkamp-Peters serves as an Associate Professor at the Center for Advanced imaging (CAi), Heinrich Heine University Düsseldorf, where she leads critical bioimaging research initiatives. Her work bridges plant biology, advanced microscopy, and computational data analysis, with significant contributions to the CEPLAS Cluster of Excellence on Plant Sciences. Her research focuses on: Developing and applying cutting-edge microscopy techniques including super-resolution imaging, fluorescence lifetime imaging (FLIM), and electron microscopy Quantitative analysis of protein-protein interactions in plant development and metabolism Integrating machine learning and AI for image data management and high-content screening Advancing FAIR data principles through tools like MDEmic for bioimaging metadata annotation Analysis of her publication record (2008-2024) reveals an evolving research trajectory from fundamental molecular dynamics in nuclear bodies toward increasingly sophisticated plant imaging applications. Recent work emphasizes data infrastructure development, demonstrating her leadership in establishing standardized workflows for bioimaging core facilities. Her interdisciplinary approach consistently connects plant metabolism, developmental biology, and computational image analysis. As a core faculty member of CAi, she directs a facility providing comprehensive imaging services including scanning/transmission electron microscopy, super-resolution techniques, and AI-powered image analysis. The center supports diverse plant research projects through its specialized expertise in plant tissue imaging and data science applications, particularly within CEPLAS research areas like plant-microbiota interactions and theoretical plant biology.

• Neurotoxicology
• Developmental Toxicology
• Nanotoxicology
• +۳ مورد دیگر

Dr. Julia Liebing serves as a Researcher in the Neurotoxicology and Chemosensation group at the Leibniz Research Centre for Working Environment and Human Factors (IfADo), affiliated with Technical University of Dortmund. Her work focuses on advanced in vitro methodologies for assessing neurotoxic and developmental effects of chemicals, with significant contributions to nanosafety data standardization and transcriptome-based toxicology. Her primary research areas include Neurotoxicology (particularly mechanisms of organophosphate and acrylamide neurotoxicity), Developmental Toxicology (stem cell-based assays for chemical safety evaluation), and Nanotoxicology (metadata frameworks for reproducible nanosafety studies). She employs cutting-edge techniques such as micropatterned neuronal networks, transcriptome analysis, and microfluidic co-culture systems to investigate chemical impacts on neuronal function and development. Analysis of her 14 publications (2010-2022) reveals evolving expertise from foundational neurotoxicity screening of vehicle emissions toward sophisticated nanosafety data infrastructure and transcriptome-based classifiers for developmental toxicants. Her work consistently bridges toxicology with data science and bioengineering, emphasizing reproducibility through standardized metadata and modular assay design. As part of Prof. Dr. Jan G. Hengstler's research team, Dr. Liebing contributes to IfADo's mission of addressing occupational and environmental health risks through interdisciplinary collaboration. The Neurotoxicology and Chemosensation group utilizes specialized in vitro platforms including stem cell-derived neuronal models and microfluidic systems for comprehensive neurotoxicity assessment.