جستجوی استاد راهنمای دانشگاهی

Annette van Dyck-Hemmingمشاهده پروفایل

پژوهشگر ارشد

• History of Musicology
• Music Historiography
• US Music History
• +۳ مورد دیگر

Dr. Annette van Dyck-Hemming is a Senior Research Fellow at the Max Planck Institute for Empirical Aesthetics' Music Department since 2014. She holds a PhD in Musicology from the University of Bonn (2002) and a Master's in Musicology, Ecclesiastical History, and Old Germanic Studies from the University of Bochum (1993). Her research focuses on the history of German-speaking musicology, music historiography, US music history, and digital humanities. She co-edited the 2023 special issue Musikwissenschaftliche Gesellschaften und Zeitschriften and contributed to the revision of the Riemann Musik Lexikon (2012). Education: PhD in Musicology, University of Bonn (2002) Master of Arts in Musicology, University of Bochum (1993) Awards: Cusanuswerk Scholarship (1993–1996) Paul Sacher Foundation Scholarship (1995–1996) Her work bridges historical musicology with digital tools, exemplified by projects like History of German-speaking Musicology (1810–1990) and Neo4j-based network analysis. She has advised on the Riemann Lexikon and explored multimedia's role in music studies (e.g., 2000 article).

Matteo Stocchettiمشاهده پروفایل

مدرس ارشد

• Critical Studies in Politics
• Media & Technology
• Pedagogy
• +۳ مورد دیگر

Matteo Stocchetti is a Principal Lecturer in Media Culture at Arcada University of Applied Sciences and holds the title of Docent in Political Communication at Åbo Akademi University and the University of Helsinki. His research focuses on critical studies of politics, media and technology, pedagogy, and epistemology. He has edited significant works such as The Digital Age and Its Discontent (2020) and published extensively on topics ranging from AI ethics to digital sovereignty, post-truth politics, and the role of media in education. His recent work explores intersections between technology, democracy, and human existence, emphasizing critical analysis of digital-age challenges. Stocchetti's academic career includes affiliations with multiple institutions, reflecting his interdisciplinary approach to media culture and political communication. His publications span over three decades, addressing themes like visual politics, cyber-security, and the philosophical implications of technology. Notable contributions include critiques of neoliberalism's impact on democracy and explorations of Bildung (humanistic education) in the digital era. Recent articles highlight his engagement with contemporary issues such as AI's societal role, epistemic injustice in education, and open-source software's potential for digital sovereignty. His work consistently bridges theoretical frameworks with practical societal concerns, offering nuanced critiques of technological and political transformations. Leveraging his roles as a lecturer and docent, Stocchetti contributes to pedagogical innovation in media education while maintaining a robust research agenda. His interdisciplinary focus ensures relevance across academic and public spheres, addressing both scholarly and societal challenges posed by rapid technological and cultural shifts.

Guy De Tréمشاهده پروفایل

دانشیار

• Computational Intelligence
• Data Quality
• Decision Support Systems
• +۷ مورد دیگر

Guy De Tré is an Associate Professor at the Department of Telecommunications and Information Processing within Ghent University's Faculty of Engineering and Architecture. He leads the Database, Document and Content Management (DDCM) research group and focuses on computational intelligence in information systems, with expertise in bi-polarity handling, uncertainty modeling, and multi-valued logic systems. Primary Affiliation: Ghent University Research Focus: Data quality, fuzzy querying, spatio-temporal modeling Key Contributions: Foundational work in possibilistic databases and explainable AI His research combines theoretical and applied approaches to information management systems. Theoretical work includes: Bipolarity and uncertainty handling in databases Multi-valued logic frameworks Interval B-tree indexing for possibilistic data Applied research spans: NoSQL database optimization Decision support systems Contextualized machine learning 3D/4D modeling for geological resources Recent publications show increasing focus on explainable AI, with multiple works on contextualized support vector machine classification and orthographic similarity measures for graph-based data representations. His work bridges database theory with practical applications in data quality assessment, medical informatics, and cultural heritage projects like the Byzantine Book Epigrams database. Research Group: Leads the DDCM group at Ghent University, specializing in: Database management innovation Content modeling techniques Fuzzy logic implementations Temporal data indexing Intelligent information systems

Joanne Atleeمشاهده پروفایل

استاد

• Software Engineering
• Software Product Lines
• Feature Interaction Analysis
• +۴ مورد دیگر

Joanne Atlee is a Professor in the Department of Computer Science at the University of Waterloo, Canada. She serves as Director of Women in Computer Science, actively promoting gender equity in the field. Her research focuses on software product line engineering, feature interaction analysis, and visualization of software analysis results. She holds a Ph.D. (1992), M.Sc. (1988), and B.Sc. (1985) from the University of Maryland and College of William and Mary. Education: Ph.D., Computer Science, University of Maryland, 1992 M.Sc., Computer Science, University of Maryland, 1988 B.Sc., College of William and Mary, 1985 Research Interests: Analysis and visualization of large distributed software systems Semantics of software feature composition Feature interaction detection and resolution Formal methods in software engineering Model-driven engineering Her work emphasizes industrial applications, particularly in automotive software and safety-critical systems. Recent research trends in her publications include: Exploring AI-driven code analysis (e.g., distinguishing human vs. GPT-4-generated code) Advancing visualization techniques for software product line analysis (e.g., Neo4j-based tools) Addressing scalability challenges in formal verification for industrial systems As an advocate for diversity, her work on gender representation in software engineering communities bridges technical and sociotechnical aspects of the discipline. She has advised numerous industrial collaborations in automotive and embedded systems domains, though no specific student names are listed in available materials. Labs/Teams: Leads the Women in Computer Science initiative at Waterloo and collaborates with automotive industry partners through formal methods research.

Michael Axtellمشاهده پروفایل

استاد

• Bioinformatics
• Genetics
• Genomics
• +۶ مورد دیگر

Michael J. Axtell is a Professor of Biology and Louis and Hedwig Sternberg Chair in Plant Biology at Pennsylvania State University's Department of Biology. His research focuses on small RNA biology in plants, including microRNA biogenesis, RNA interference mechanisms, and the role of small RNAs in plant defense and parasitic plant interactions. He leads the Axtell Lab, which integrates bioinformatics, genetics, and genomics to study small RNA functions across diverse plant species. Education: B.A. in Biology from Ithaca College (1998), Ph.D. in Plant Biology from UC Berkeley (2003), and postdoctoral training at MIT's Whitehead Institute (2003-2006). Key research interests include the evolutionary diversification of small RNA pathways, annotation of small RNA genes using tools like ShortStack, and the discovery of trans-species microRNAs in parasitic plants like Cuscuta campestris. His work explores how small RNAs regulate developmental programs and mediate interactions between plants and pathogens/parasites. Awards include the Faculty Scholar Medal in Life and Health Sciences (2019) and the Masatoshi Nei Innovation Prize in Biology (2018). He contributes to collaborative projects such as PlantTransform, advancing plant genome editing using parasitic plant systems. Major software contributions include the ShortStack toolkit for small RNA analysis and CleaveLand4 for degradome data analysis, widely used in the plant biology community.

• Graphic Design
• Photography
• Digital Media
• +۳ مورد دیگر

Sue Jenkins is an Associate Professor of Graphic Design and Photography at Marywood University, where she also serves as Foundation Year Coordinator and Photography Program Coordinator. She leads Where Creativity Works , the university’s art blog, and founded Luckychair.com, a design studio. Her expertise spans graphic design, photography, and digital media, emphasizing user-centered design and technical proficiency. Her research focuses on bridging art and technology through practical design workflows, Adobe software mastery, and educational strategies. Jenkins has authored influential books like Web Design All-in-One For Dummies and Smashing Photoshop: 100 Professional Techniques , and contributed to Lynda.com/LinkedIn Learning courses. Her articles highlight trends in web design processes, design aesthetics, and productivity. Jenkins is a dedicated mentor, supporting students like Lilli Millon, and advocates for inclusive education. Colleagues praise her relentless energy and commitment to nurturing student success.

• Pattern Recognition
• Applied Machine Learning
• Document Analysis
• +۷ مورد دیگر

Fischer Andreas is a Professor at HES-SO (University of Applied Sciences and Arts Western Switzerland) , specifically affiliated with the School of Engineering and Architecture of Fribourg (HEIA-FR) . His research spans Pattern Recognition , Applied Machine Learning , Handwriting Recognition , and Graph-based Methods . He has secured significant grants from TAINA Technology , Swisscom , and the Hasler Foundation for projects including automatic handwriting recognition for tax forms , Swiss German translation , and graph-based keyword spotting in Vietnamese steles . Education : BSc in Computer Science from HEIA-FR. Research Highlights : Graph Neural Networks for Büchi automata classification Annotation-free alignment in historical documents Graph edit distance optimization for keyword spotting Hybrid deep learning for Vietnamese stele analysis Graph-based tumor budding analysis in digital pathology Collaborative Impact : Fischer's work bridges historical document analysis and medical imaging , demonstrated through frameworks like DIVA-DAF and tools like GammaFocus for histopathology. His 2024 conferences suggest ongoing exploration of LLM integration in document processing and OCR-free models for information extraction.

• Conceptual Modelling
• UML
• Model Engineering
• +۴ مورد دیگر

Dominik Bork is an Associate Professor for Business Systems Engineering at TU Wien, specializing in conceptual modeling, enterprise architecture, and model-driven engineering. He holds a PhD (Dr. rer. pol.) from the University of Bamberg and has been a postdoc at the University of Vienna. His roles include membership in the Curriculum Commission for Business Informatics at TU Wien. Education: Diploma in Information Science (University of Bamberg), PhD in Information Systems (University of Bamberg) Visiting Researcher Collaborations: University of Technology Sydney, Instituto Tecnologico Autonomo de Mexico, University of Pretoria, Stockholm University, and Ecolé de Mines d’Albi His research focuses on conceptual modeling methodologies, AI integration in modeling tools, sustainability in systems engineering, and enterprise architecture knowledge graphs. Key interests include multimodal process mining, model interoperability, and inclusive design for accessibility in modeling tools. Recent projects include developing the CM2KGcloud platform for transforming conceptual models into knowledge graphs, and exploring hybrid quantum-classical workflows. His work spans grants from the Austrian Research Promotion Agency (FFG) and international collaborations. Notable Awards: Best Reviewer Award (SoSyM Journal 2024), Eclipse Cloud DevTools Contributor Award (2023) Advising: Supervised over 20+ students in topics ranging from AI-enhanced modeling tools to digital twin frameworks He is a domain expert for the German Informatics Society’s Modelling Business Information Systems SIG, contributing to academic leadership and tool development in enterprise modeling.

• Learning Technologies
• Learning Analytics
• Study Planning and Analysis
• +۵ مورد دیگر

Rene Christian Röpke is an Assistant Professor of Software Engineering at TU Wien, Austria. He serves as Head of the Service Unit eduLAB (E199-04) and leads the LTeD Research Lab . His primary research focuses on Learning Technologies, AI in Education, and Game-based Learning. He teaches courses such as Informatics Didactics, Project in Computer Science, and seminars for doctoral students. His work emphasizes practical tools like Interactive Study Planning Tools , BuddyAnalytics , and WebWriter , which leverage AI and data analytics to improve educational outcomes. He actively contributes to conferences like GALA and DELFI, editing special issues and presenting on topics ranging from serious games to open science practices. Röpke's recent articles (2024-2025) explore digital collaborative learning, process mining for student support, and ethical game design. His publications span journals like Frontiers in Psychology and conferences such as the International Conference on Learning Analytics & Knowledge. He maintains an active role in both educational technology development and pedagogical research methodologies. His research integrates software engineering principles with human-centered design, aiming to create transparent, equitable educational systems. Current projects include AI-driven study planning systems and tools for analyzing student pathways at scale.

Bernhard Kerblمشاهده پروفایل

پژوهشگر

• Computer Graphics
• Real-Time Rendering
• GPU Programming
• +۴ مورد دیگر

Bernhard Kerbl is a Post-doctoral Researcher at the Computer Graphics Group (E193-02) within the Faculty of Informatics at Vienna University of Technology (TU Wien). He actively contributes to research in real-time rendering, GPU optimization, and 3D visualization. His work focuses on point cloud rendering, Gaussian splatting, and low-level graphics API development (particularly Vulkan). Core Research Areas: Real-time rendering, GPU programming, point cloud processing, 3D Gaussian splatting, task-based parallelism Projects: IVILPC (2023–2026), ACD (2020–2028), EVOCATION (2018–2022) Key Contributions: Developed real-time rendering techniques for massive datasets, pioneered GPU-based scene streaming architectures, and created novel methods for visual error prediction using machine learning. His work on Vulkan transition in academia received recognition, and he maintains active collaborations in GPU education. Scientific Achievements: Best Paper Award at EGPGV 2024 for "Fast Rendering of Parametric Objects on Modern GPUs" Recipient of Vienna Science and Technology Fund (WWTF) support for graphics research Technical Expertise: Specializes in CUDA, OpenGL/Vulkan APIs, and real-time systems. His work bridges academic research with practical implementations in virtual reality, augmented reality, and GPU education.

• Phonology
• Norwegian Prosody
• Esperanto
• +۳ مورد دیگر

Jardar Eggesbø Abrahamsen is an Associate Professor in the Department of Language and Literature at NTNU. His primary research focuses on phonology, particularly Norwegian prosody and the prosody of Esperanto. He has supervised multiple students on diverse linguistic topics across languages like Akan, Ewe, and Bantu. Abrahamsen has authored several textbooks and compendia, including Starthjelp i fonetikk og lingvistikk and developed linguistic tools like the IPA keyboard software. His work bridges theoretical linguistics with pedagogy, contributing to language teaching materials and second language acquisition research. Research interests include generative phonology, historical linguistics, and sociolinguistic aspects of speech variation. Key publications explore tonal variation in Scandinavian languages, stress patterns in dialects, and Esperanto’s phonological structure. He has presented at international conferences and contributed to museum exhibitions on language, such as Takt og tone i Oslo-språket . Abrahamsen’s publications span academic articles, edited volumes, and teaching resources, reflecting his commitment to both research and education. His work emphasizes practical applications of linguistic theory in language learning and teaching methodologies.

Shelley Rodrigoمشاهده پروفایل

استاد

• Professional development & mentoring
• Online & technologically mediated learning
• Writing program administration
• +۳ مورد دیگر

Shelley Rodrigo is a Professor in the Rhetoric, Composition, and the Teaching of English (RCTE) program at the University of Arizona, serving as Senior Director of the Writing Program and a Writing Scholar (Continuing Status). She is also Affiliate Faculty with the School of Information. Her research focuses on how newer technologies enhance teaching and learning, particularly in writing program administration and online education. Notable roles include Vice President of the National Council of Teachers of English (2021–present), Research Associate with The Readability Consortium (2022), and Distinguished Fellow in the Center for University Education Scholarship (CUES). She has received awards such as the Adobe Education Leader (2018) and Google Certified Innovator (2010). Her scholarship spans journals like Composition Forum , Computers and Composition , and Technical Communication Quarterly . Key publications include co-authored books Teaching Literacy Online , The Cengage Guide to Research (3rd ed.), and edited volumes like Rhetorically Rethinking Usability . Her work emphasizes interdisciplinary approaches to educational technology, usability, and pedagogical innovation. Awards reflect her contributions to technology integration in education, including the Ruth Catalano Friend of Technology Innovation Award (2021) and Old Dominion University’s Teaching with Technology Award (2014). She actively collaborates with institutions like the Readability Consortium and CUES, advancing research on digital literacy and educational practices.

• Algorithms
• Data Structures
• String Algorithms
• +۳ مورد دیگر

Panagiotis Charalampopoulos is a Lecturer (Assistant Professor) in the Department of Informatics at King's College London, part of the School of Computing and Mathematical Sciences. He holds a PhD in Computer Science from King's College London, an MSc in Advanced Computing from the same institution, and a BA in Mathematics from the University of Cambridge. Previously, he was a Lecturer at Birkbeck, University of London and a postdoctoral fellow at Reichman University and the University of Haifa. His research focuses on algorithms and data structures, particularly string algorithms (e.g., pattern matching, indexing) and planar graph algorithms (e.g., shortest path computations). Applications of his work include bioinformatics, text mining, and medical imagery analysis. He teaches modules such as 'Software and Programming I' and 'Problems in Mathematics.' His research has produced impactful contributions in both theoretical and applied domains, addressing challenges in efficient algorithm design and practical implementations. His work often bridges foundational computer science principles with real-world applications. Dr. Charalampopoulos' publications span topics like resilient pattern mining, efficient string processing, and planar graph optimization, reflecting his dual focus on algorithmic efficiency and practical utility. His academic journey includes research internships at the University of Warsaw and IDC Herzliya, highlighting his international collaboration and expertise in computational theory.

Christopher Dedeمشاهده پروفایل

پژوهشگر ارشد

• Educational Technology
• Artificial Intelligence in Education
• Policy for Educational Technology
• +۷ مورد دیگر

Christopher Dede is a Senior Research Fellow at Harvard University's Graduate School of Education (HGSE) and a co-Principal Investigator of the NSF-funded National Artificial Intelligence Institute for Adult Learning and Online Education. Previously, he held the Timothy E. Wirth Professorship in Learning Technologies at HGSE for 22 years. His research focuses on emerging technologies for learning, educational policy, and leadership in scaling innovations. He co-founded the Silver Lining for Learning initiative and developed a widely used framework for scaling educational improvements. Education: Ed.D., University of Massachusetts, Amherst (1972); B.S. in Chemistry and English, California Institute of Technology (1969). Research interests include AI in education, immersive technologies (VR/AR/MR), online learning systems, and policy for educational technology. He advises organizations like Mursion, Inc., and has authored/co-edited numerous books, including The 60-Year Curriculum and Learning Engineering for Online Education . Awards include recognition as a top edtech innovator (2017), the AERA Outstanding Contributions to Research in Immersive Learning Award (2017), and Fellow of the American Educational Research Association (2011). He has served on editorial boards for leading journals and national committees, including the U.S. Department of Education's Expert Panel on Technology. Current projects include leading the AI Institute for Adult Learning and Online Education, focusing on AI-enhanced learning tools and virtual environments. His work emphasizes intelligence augmentation (IA) to complement human capabilities, particularly in workforce development and adult education.

Sean Thomasمشاهده پروفایل

استاد

• Circular Economy
• Smart Technology and AI
• Contract Law
• +۴ مورد دیگر

Dr Sean Thomas is a Reader at the University of York's York Law School, specializing in commercial and property law. He holds a PhD from the University of Manchester and has held academic positions at Durham, Leicester, and Anglia Ruskin Universities. His research focuses on ownership transfer in personal property, circular economy legal frameworks, and smart technology implications. He co-authored the fourth edition of Bradgate’s Commercial Law (OUP 2024) and advises projects like the Commercial Code initiative. He chairs the Staff-Student Forum and coordinates research seminars at York Law School. Education: LLB (Durham) PhD (Manchester) Research Interests: Circular economy legal challenges, smart technology in commercial law, historical development of commercial law, and property law interfaces with intellectual property and land law. His work critiques legal frameworks for circular economy transitions and smart technology impacts on ownership. External Roles: External examiner for Bristol, Manchester, and Sheffield Universities' law programs. Advisory board member for the Everyday Cyborgs and Commercial Code projects. Teaching: Leads modules on Personal Property Law and contributes to the MSc Green Chemistry. Recognized for innovative teaching methods and Problem-Based Learning. Labs/Teams: Collaborates with management scholars on circular economy projects and waste supply chains. Engaged in interdisciplinary research on servitisation and circular economy transactions.