جستجوی استاد راهنمای دانشگاهی

• Data Science
• Supply Chain Management
• Knowledge Graphs
• +۵ مورد دیگر

Hajo Rijgersberg is a Researcher affiliated with Wageningen University & Research, specifically within the Wageningen Food & Biobased Research institution. His work focuses on the intersection of data science, supply chain design, and sustainable food systems. Key research areas include knowledge graph construction, linked data applications, supply chain optimization, environmental impact modeling, and dietary intake analysis using advanced technologies like spectral imaging. His research interests emphasize improving data quality and interoperability in international trade, food production, and nutritional monitoring. Recent publications highlight efforts to reduce CO2 emissions through sustainable food practices and leveraging GS1 standards for supply chain transparency. He has also contributed to methodologies for measuring macronutrients via smartphone-based spectral imaging solutions. Rijgersberg actively engages in academic and industry collaborations, delivering lectures on topics such as data table annotation, packaging effects on food quality, and physical unit ontologies. He advises on technical projects like UnitDim, an ontology for physical quantities, and collaborates with teams exploring sensor technologies for food intake measurement. No scientific awards are explicitly mentioned in the provided texts. He has been involved in datasets related to sensor technologies for dietary assessment and consultancy activities since 2005. His work supports both academic and applied research, aiming to bridge data-driven solutions with real-world challenges in food systems and environmental sustainability.

Alexander Pachaمشاهده پروفایل

مدرس

• Optical Music Recognition
• Deep Learning
• Music Information Retrieval
• +۳ مورد دیگر

Dr. Alexander Pacha is an External Lecturer at TU Wien, specializing in Optical Music Recognition (OMR) and deep learning applications. His work focuses on advancing OMR systems through graph neural networks, dataset development (e.g., DeepScoresV2), and music score analysis. He leads projects like DeepOMR and contributes to the Mixed Reality Lab and Virtual Meeting Room initiatives. Key research areas include music symbol detection, staff/measure segmentation, and cross-document alignment in music scores. Research interests span computer vision, artificial intelligence, and software tools for music information retrieval. His work bridges theoretical advancements with practical applications in digital libraries and music technology. Notable contributions include self-learning OMR frameworks and benchmarking tools for music object detection. Labs & Teams: Mixed Reality Lab (exploring AR/VR in music contexts), Virtual Meeting Room (collaborative digital environments).

• Systems Engineering
• Internet of Things (IoT)
• Cyber-Physical Systems
• +۳ مورد دیگر

Amirali Amiri is a PostDoc Researcher at TU Wien's Department of Automation Systems, part of the Faculty of Informatics. His work focuses on systems engineering, IoT integration, and cyber-physical systems. He teaches courses like Fundamentals of Digital Systems and Computer Engineering Project . His research emphasizes supply chain optimization, IoT performance, and IT/OT convergence security. Notable contributions include model-based approaches for IIoT lifecycle management and self-adaptive systems. Recent studies explore MQTT broker deployment architectures, semantic annotation for runtime models, and graph-based safety analysis. His work bridges theoretical frameworks with empirical validation in industrial automation contexts. Amiri has contributed to conferences such as IEEE ICM, ICPS, and ETFA, addressing challenges in cloud-based routing, cybersecurity, and DevOps integration.

• Computer Vision
• Historical Image Analysis
• Machine Learning
• +۳ مورد دیگر

Marvin Burges is a PreDoc Researcher at the Department of Computer Vision within the Faculty of Informatics at TU Wien. His research focuses on applying computer vision and machine learning techniques to historical aerial imagery, with a particular emphasis on object detection, semantic classification, and interactive analysis. He is actively involved in the DoRIAH project (2020–2024), exploring applications such as bomb crater detection and semi-automated object recognition in archival materials. Burges teaches courses including 3D Vision and Introduction to Visual Computing . His work bridges historical preservation, geospatial analysis, and modern AI methods, with publications in venues like GeoSearch, IEEE WACV, and OAGM workshops. His methodologies include self-supervised learning, vision-language models, and human-in-the-loop systems to enhance the interpretability of legacy datasets. Key technical contributions include developing algorithms for historical aerial image classification, crater detection, and novel class identification in remotely sensed imagery. His research addresses challenges in digitizing and analyzing large-scale historical archives through interdisciplinary approaches.

Robbie Loveمشاهده پروفایل

مدرس ارشد

• Corpus Linguistics
• Applied Linguistics
• Discourse Analysis
• +۴ مورد دیگر

Dr Robbie Love is a Senior Lecturer in English Language and Linguistics at Aston University, based in the Department of Communication and Culture within the School of Law and Social Sciences. He holds leadership roles including Programme Director of the BA (Hons) Digital Media and Communication and Programme Development Lead. His research focuses on corpus linguistics, applied linguistics, and discourse analysis, particularly in spoken language variation, forensic linguistics, and educational language challenges. Love co-directs the Aston Corpus Linguistics Research Group and hosts the CorpusCast podcast, exploring corpus methodologies' societal applications. Education: PhD (2018), MA (2014), and BA (2013) in English Linguistics from Lancaster University, with specialization in corpus approaches through the ESRC Centre for Corpus Approaches to Social Science. Notable projects include designing the Spoken British National Corpus 2014 and analyzing language in pandemic communication, forensic contexts, and educational materials. Awards include multiple teaching accolades from Aston University and recognition for public engagement. His work bridges academia and practice, addressing real-world issues like language in education, legal contexts, and societal discourse. Love also contributes to professional bodies such as the British Association for Applied Linguistics (BAAL), editing BAAL News and leading its Corpus Linguistics Special Interest Group.

Ivan Bratkoمشاهده پروفایل

استاد

• Computer Science
• Machine Learning

Ivan Bratko is a Full Professor at the Faculty of Computer and Information Science, University of Ljubljana, and has held leadership roles including Head of AI Lab (1986–present) and former Head of AI Department at Jožef Stefan Institute (1996–2004). His career spans over four decades, with research contributions in machine learning, qualitative modeling, and artificial intelligence applications. Developed the KARDIO expert system for cardiac arrhythmia diagnosis using deep qualitative knowledge Innovated ABML (Argument-Based Machine Learning) for faster, interpretable learning with expert annotations Created Q 2 learning methods that integrate qualitative constraints with quantitative prediction Contributed to minimax search analysis and decision tree pruning algorithms His work has earned prestigious awards, including the Zois award (2007) and Fellow of ECCAI (2000). He continues part-time research at Jožef Stefan Institute (since 1975) and authored influential textbooks like Prolog Programming for Artificial Intelligence .

• Learning Technology
• Course Design
• Educational Innovation
• +۳ مورد دیگر

Dr. J.C. (Koos) Winnips serves as the Technology Enhanced Learning coordinator at the Faculty of Economics and Business, University of Groningen. He holds a Ph.D. in Educational Science and Technology from the University of Twente (2000) and has held roles including Research Fellow at Glasgow Caledonian University and Advisor ICT and Education across multiple institutions. Education: Ph.D. in 'Scaffolding-by-Design: A model for WWW-based learner support' (University of Twente, 2000) University Teaching Qualification (University of Groningen, 2013) Research Fellow/Advisor (Caledonian Academy, 2008) Research Interests: Focuses on learning technology, course design, flipped classrooms, and interactive engagement strategies. Specializes in leveraging technology for active learning, peer feedback systems (e.g., Perusall), and scalable educational innovations. Recent work includes IguideME for self-regulated learning and peer comparison feedback. Article Trends: Publications emphasize technology-enhanced learning tools (e.g., clickers, social annotation), flipped classroom outcomes, and metrics for student engagement and performance. Highlights include studies on metacognition in flipped pedagogy and the impact of interactive methods. Awards: Recipient of RUG CIT Data Science Award (2019) Labs/Teams: Founded and chaired the Education and Innovation Network Groningen (ONING, 2013–2017). Organized events like 'Tour de Mazur' and the endurance sailing race 'Raid Extreme' as educational metaphors. Currently leads projects on AI-enabled feedback systems and large-scale active learning initiatives.

• Technology Enhanced Learning
• Educational Innovation
• Learning Analytics
• +۳ مورد دیگر

Dr. J.C. Winnips is the Technology Enhanced Learning Coordinator at the Faculty of Economics and Business (FEB), University of Groningen. He holds a Ph.D. in 'Scaffolding-by-Design: A Model for WWW-Based Learner Support' from the University of Twente (2000). His roles include advising on ICT and education, coordinating learning environments, and leading innovation projects. He has extensive experience in educational technology, including active learning strategies, flipped classrooms, and social annotation tools like Perusall. Notable projects include scaling peer feedback systems (PeerCeptiv) and developing the FEBcon Educators Platform. His research focuses on learning analytics, student engagement, and educational innovation. He has authored/co-authored studies on self-regulated learning, collaborative pedagogies, and the impact of technology on academic performance. Winnips has received the RUG CIT Data Science Award (2019) for contributions to educational technology. He actively participates in professional networks, such as the Education and Innovation Network Groningen (ONING), which he founded and chaired from 2013–2017. Winnips is a sought-after speaker on topics like mathematics education and flipped classrooms. His work emphasizes practical applications of technology, including course design, media selection, and reducing student workload. He organizes workshops on educational technology and has contributed to media discussions on learning trends.

• Analytical Chemistry
• Mass Spectrometry
• Laser-Based Analytical Chemistry
• +۴ مورد دیگر

Renato Zenobi is a Full Professor of Analytical Chemistry at ETH Zurich's Department of Chemistry and Applied Biosciences. He holds leadership roles, including past chairmanship of the Organic Chemistry Laboratory and presidency of ETH Zurich's university assembly. His research focuses on laser-based analytical techniques, ambient mass spectrometry, and nanoscale spectroscopy, with notable contributions to MALDI and TERS methodologies. Zenobi has received numerous awards, including the Thomson Medal (2014) and Fresenius Prize (2015). His work integrates advanced instrumentation development with interdisciplinary applications in materials science, biology, and environmental monitoring. Education: M.S. (ETH Zurich, 1986), Ph.D. (Stanford University, 1990) Postdoctoral Appointments: University of Pittsburgh (1990–1991), University of Michigan (1991) His research interests span laser-based mass spectrometry, ambient ionization methods, and tip-enhanced Raman spectroscopy. Recent work emphasizes nanoscale chemical imaging, exhaled breath analysis for disease diagnostics, and metabolic profiling in cancer cells. Zenobi has pioneered analytical tools for studying protein structures and enzyme complexes in the gas phase. Awards: Over 15 major honors, including the Rusnano Prize (2014) and honorary professorships in China. His lab, the Laboratory of Organic Chemistry (LOC), develops cutting-edge techniques for molecular analysis. Collaborations include projects on breathomics, plasma-based material synthesis, and single-cell metabolomics. Zenobi also contributes to academic governance, having served on ETH Zurich's lecturer's conference and international editorial boards.

Dennis Looneyمشاهده پروفایل

استاد مدعو

• Renaissance Studies
• Classical Tradition in European Literature
• Dante Studies
• +۳ مورد دیگر

Dennis Looney is an Adjunct Professor in the Department of French and Italian Languages and Literatures at the University of Pittsburgh, with an affiliation in the Department of Classics. His research focuses on the classical tradition’s influence on medieval and Renaissance Italian literature, particularly Dante, Ariosto, and Tasso. He holds a Ph.D. in Comparative Literature from the University of North Carolina at Chapel Hill (1987), an M.A. in Sacred Poetics from Boston University (1980), and a B.A. in Classical Greek (magna cum laude) from Boston University (1978), with additional studies at the University of Florence. Looney’s scholarly contributions include Compromising the Classics: Romance Epic Narrative in the Italian Renaissance (1996), which was a finalist for the MLA Marraro Award. He has also edited works on Ariosto and Tasso, and authored Freedom Readers: The African American Reception of Dante Alighieri and the Divine Comedy (2011). His research spans the reception of classical texts in vernacular literature, medievalisms, and Renaissance court culture. Looney has received prestigious awards such as the James E. Alatis Founder’s Award (2022), the Ronco Scholarship (2012), and the Rome Prize Fellowship (1990–91). He has held grants from the National Endowment for the Humanities (NEH), the Mellon Foundation, and the University of Pittsburgh. His teaching excellence was recognized with the President’s Distinguished Teaching Award (1992) and Carnegie Foundation nominations. He has advised numerous research grants, including projects on Renaissance Ferrara, epic narrative, and language education policy. His work often intersects with interdisciplinary themes, such as the role of classical texts in shaping modern political and cultural thought.

• Cholesterol metabolism
• Oxysterols
• Bile acid biosynthesis
• +۵ مورد دیگر

Professor William Griffiths is Chair of Mass Spectrometry at Swansea University Medical School, leading the Oxysterol Research Group. His research focuses on cholesterol biosynthesis, lipidomics, and neurodegenerative diseases, utilizing advanced mass spectrometry techniques. He holds editorial roles in Journal of Lipid Research and Clinical Mass Spectrometry . Education: BSc/PhD in Chemistry from University College Cardiff; postdoctoral training at Karolinska Institute. Previous institutions: University of the West Indies, Karolinska Institute, University of London. Research interests include bile acid pathways, neurodegenerative diseases (e.g., Alzheimer’s, Parkinson’s), and immune system interactions with lipid metabolism. Over 250 publications and 7,000+ citations, with two edited books on lipidomics. Teaching: Undergraduate/postgraduate courses in lipid biochemistry and biomedical mass spectrometry. Member of BBSRC-funded South West Biosciences Doctoral Training Partnership. Collaborations span neurology, immunology, and metabolic disorder studies, with projects on oxysterol imaging in brain tissue and biomarker discovery.

• Digital Humanities
• Sociology of Religion
• Religion and Migration
• +۳ مورد دیگر

Prof. Dr. Frederik Elwert is a Professor at the Center for Religious Studies (CERES) at Ruhr-Universität Bochum. He specializes in Digital Humanities, Sociology of Religion, and Network Research. His work focuses on integrating computational methods with religious studies, particularly in analyzing religious texts and online communication. Elwert leads the Digitisation of Gandharan Artefacts (DiGA) project and subprojects within the Collaborative Research Center (SFB 1475) on 'Metaphors of Religion'. He also coordinates the CERES Digital Humanities Initiative. Elwert’s research spans topics such as religion and migration, religious online discourses, and the application of network analysis to religious texts. He holds a doctorate from Leipzig University (2014) and has coordinated multiple interdisciplinary projects. Notable contributions include developing methods for semantic and social network analysis in religious studies and advancing digital preservation of cultural heritage. His articles and projects reflect a commitment to bridging computational tools with humanities research, particularly in understanding religious phenomena through digital methods. Elwert’s work is published in journals like Journal of Religion, Media and Digital Culture and Entangled Religions .

• Oncology
• Hematology
• Clinical Research
• +۴ مورد دیگر

Xuanyi Li is a Clinical Assistant Professor affiliated with the Department of Medical Oncology and Hematology at Yale School of Medicine, Yale University. Their work focuses on clinical oncology, precision medicine, and the intersection of cancer treatment with emerging health challenges such as infectious diseases and healthcare disparities. Research interests include systemic anticancer therapies, network meta-analyses, pandemic impact on cancer patients, and translational studies linking genomic biomarkers to clinical outcomes. They have contributed to understanding racial inequities in cancer care, cardiotoxicity screening in pediatric populations, and optimizing diabetes prevention programs in underserved communities. Recent publications emphasize methodological advancements in clinical trial analysis, pan-cancer pathway enrichment, and evaluating therapeutic efficacy through information theory. Xuanyi's work bridges basic science and clinical practice, addressing both oncological and public health challenges.

Frank Krügerمشاهده پروفایل

پژوهشگر

• Research Data Management
• Data Mining and Analysis
• Artificial Intelligence
• +۳ مورد دیگر

Prof. Frank Krüger is a Postdoctoral Researcher in the Collaborative Research Center ELAINE (CRC ELAINE) at the University of Rostock's Institute of Communications Engineering. He leads the Research Group on Signal Theory and Digital Signal Processing. His academic journey includes a Diploma in Computer Science (2006), a PhD (2016) from Rostock, and postdoctoral roles focusing on Research Data Management and Sensor-based Behavior Analysis. **Research Interests:** Research Data Management Data Mining & Analysis Artificial Intelligence Assistive Technologies Ubiquitous Computing Biomedical Informatics **Recent Work Trends:** His articles emphasize data provenance in biomedical workflows, software citation practices, and deep learning for behavior assessment. Notable contributions include frameworks for interdisciplinary data sharing and sensor-based dementia care monitoring. His work bridges signal processing, machine learning, and healthcare applications. **Grants & Collaborations:** Key projects include CRC ELAINE (focused on biomedical engineering) and the InsideDEM framework for dementia behavior analysis. He co-leads research data management initiatives and has contributed datasets to repositories like Zenodo. **Labs/Teams:** Active in the Institute of Communications Engineering and affiliated with interdisciplinary teams in the Faculty of Computer Science and Electrical Engineering.

David Schindlerمشاهده پروفایل

پژوهشگر

• Text Mining
• Natural Language Processing
• Data Quality
• +۳ مورد دیگر

Dr. David Schindler is a Doctoral Researcher at the Department of Communications Engineering, University of Rostock, Germany. His work focuses on text mining and natural language processing applied to research data management within the Collaborative Research Center ELAINE. He holds a B.Sc. in Computer Science from the University of Tübingen and an M.Sc. from the University of Rostock, where his master’s thesis addressed identifying research artefact mentions in scientific literature. Research interests include provenance modeling, data quality analysis, and knowledge graph-based approaches for software and data tracking in scientific publications. His contributions span quantitative studies of software citation practices and deep learning applications for behavioral assessment from audio recordings. Publications highlight interdisciplinary work in computational linguistics, scientific metadata systems, and open science initiatives. He has participated in projects like the BMBF-funded insideDEM and the SFB 1270 ELAINE, focusing on automated text processing for biomedical literature analysis and quality control tools for research data.