جستجوی استاد راهنمای دانشگاهی

• Computational Linguistics
• Digital Humanities
• German Literary History
• +۳ مورد دیگر

Anton Ehrmanntraut is a researcher at the University of Würzburg, affiliated with the Chair of Computational Philology and Modern German Literary History. His work bridges computational methods with literary and linguistic analysis. Institution: University of Würzburg Role: Researcher Location: Emil-Hilb-Weg 23, Campus Hubland Nord Contact: anton.ehrmanntraut@uni-wuerzburg.de Research Focus: Computational Linguistics Digital Humanities German Literary History Natural Language Processing Computer Science Publishing Trends: Recent publications demonstrate a dual focus: (1) advancing NLP techniques for German texts (e.g., ModernGBERT, text normalization, literary pipelines) and (2) theoretical computer science contributions to complexity classes like UP, DisjNP, and DisjCoNP.

Masha Raskolnikovمشاهده پروفایل

دانشیار

• Middle English literature
• Allegory theory
• Medieval philosophy
• +۴ مورد دیگر

Masha Raskolnikov is an Associate Professor in the Department of Comparative Literature at Cornell University, with affiliations in Feminist, Gender and Sexuality Studies, LGBT Studies, and Medieval Studies programs within the College of Arts and Sciences. Education : BA from Wesleyan University's interdisciplinary College of Letters; MA and PhD from UC Berkeley’s Department of Rhetoric. Her research focuses on Middle English literature through the lens of allegory theory, medieval philosophy, and rhetorical analysis, while engaging with contemporary critical theory, feminist studies, and queer theory. She explores how medieval texts can disrupt modern 'common sense' about gender, identity, and epistemology. Recent publications examine topics like Chaucer’s Miller’s Tale as literary apology (2025), trans allegorical frameworks (2023), and the intersection of BDSM with medieval epistemologies (2022). Her book Trans Historical: Gender Plurality Before the Modern (2021) establishes medieval precedents for non-binary gender concepts. She contributes to critical trans methodologies (2021) and engages with medieval archives exploring law, medicine, and early trans lives (2021). Her work frequently analyzes therapeutic reading practices (2021) and pre-modern gender plurality. Awards : No specific scientific awards mentioned in available text. As an advisor, she works with graduate students in medieval studies, feminist theory, and critical methodologies. Her research has been supported through institutional affiliations at Cornell.

• Creative Cognition
• Psychology of Creativity
• Metacognition
• +۳ مورد دیگر

Mathias Benedek is an Associate Professor at the Institute of Psychology, Faculty of Natural Sciences, University of Graz, Austria. He directs the Creative Cognition Lab and is actively involved in several research networks, including the "Complexity of Life" profile area, the "Brain and Behavior" research network, and the "FUTURE EDUCATION" research network at the University of Graz. His research focuses on the cognitive and neural mechanisms underlying creative thinking, with particular emphasis on the role of memory processes, metacognition, and eye movement patterns during creative ideation. Dr. Benedek's work bridges psychological theory with empirical research methods including eye tracking, neuroimaging, and computational modeling of creative processes. His research has important implications for understanding how creative potential develops and how it can be assessed and nurtured in educational and professional contexts. Dr. Benedek's publication record demonstrates a consistent focus on creative cognition across multiple dimensions. His recent work has expanded into emerging areas such as human-AI collaboration for creative tasks, automated assessment of creativity using large language models, and the relationship between physical activity and creative performance. His research shows a strong trajectory toward more ecologically valid methods for studying creativity in real-world contexts, moving beyond traditional laboratory paradigms. Seraphine Puchleitner Anerkennungspreis (PhD Supervision Award), University of Graz, 2021 William-Stern-Preis, German Psychological Society, 2019 Research Prize, University of Graz, 2017 Research Prize (Publication Category), Initiative Gehirnforschung, 2016 Berlyne Award, Division 10, American Psychological Association, 2015 Dr. Benedek has demonstrated strong commitment to mentoring the next generation of researchers, as evidenced by his 2021 PhD Supervision Award. His research has been supported by multiple grants from national and international funding bodies, though specific grant details are not provided in the available information. His professional service includes leadership roles in the Initiative Gehirnforschung Steiermark since 2010 and active membership in several psychological societies across Europe and North America. Dr. Benedek leads the Creative Cognition Lab at the University of Graz, which employs a multidisciplinary approach to studying creative processes. The lab integrates methods from cognitive psychology, neuroscience, and computational modeling to investigate the mechanisms underlying creative thought. Current research projects examine the relationship between eye movements and internal cognitive processes, the development of automated assessment tools for creativity, and the application of creativity research to educational contexts.

Benjamin Ricaudمشاهده پروفایل

دانشیار

• Machine Learning
• Graph Signal Processing
• Explainable AI
• +۳ مورد دیگر

Benjamin Ricaud is an Associate Professor and Group Leader in Machine Learning at UiT The Arctic University of Norway's Department of Physics and Technology. His core affiliations include membership in the Machine Learning Group, Visual Intelligence center, and co-directorship of the Digital Technology Innovation Lab focused on Arctic-region tech startups. He also co-chairs the annual Northern Light Deep Learning conference. Ricaud's research spans: Fundamental ML : Graph signal processing, explainable AI, and generative models Applications : Microfossil classification, medical diagnostics (retinal aging), drug analysis, and climate data interpretation Emerging domains : Self-supervised learning and biological data analysis using Raman spectroscopy His recent publications (2020-2025) cluster in three domains: Graph ML methodologies (35%) Biomedical/biological applications (40%) Geoscience/climate informatics (25%) with consistent focus on interpretability and real-world data challenges. Teaching includes Image Processing (FYS-2010), Pattern Recognition (FYS-3012), and Machine Learning (FYS-2021). He leads outreach initiatives developing AI exhibits for Tromsø Science Centre.

• Neural Networks
• Genetic Algorithms
• System Identification and Control
• +۷ مورد دیگر

FURUZUKI, Takayuki is a Professor at Waseda University's Faculty of Science and Engineering, Graduate School of Information, Production, and Systems. He holds a PhD from Kyushu Institute of Technology and maintains the NCLab research group (http://nclab.w.waseda.jp/nclab/). His professional memberships include the Institute of Electronics, Information and Communication Engineers, Institute of Electrical Engineers of Japan, Society of Instrument and Control Engineers, and IEEE. His educational background includes a PhD in Information Science from Kyushu Institute of Technology (1994-1997), a Master's degree in Electronics Engineering from Sun Yat-Sen University (1983-1986), and a Bachelor's degree in Electrical & Electronic Systems Engineering from Sun Yat-Sen University (1979-1983). Professor FURUZUKI's research spans neural networks, genetic algorithms, system identification and control, complex systems, bioinformatics, and combinatorial optimization. His work integrates soft computing techniques with medical informatics and control systems engineering, developing innovative approaches for problems ranging from brain tumor segmentation to music information retrieval. His research methodology often combines theoretical foundations with practical applications in healthcare, energy systems, and intelligent transportation. His recent publication record shows a strong focus on sequential recommendation systems, graph neural networks for medical imaging, music information retrieval, and power systems analysis. The consistent thread across his work is the application of advanced machine learning techniques to solve complex, real-world problems across diverse domains, with particular emphasis on handling missing data, improving model efficiency, and enhancing prediction accuracy. His scientific achievements have been recognized with several prestigious awards: ISCIIA2008 Excellent Paper Award (2008) Institute of Electrical Engineers of Japan Excellent Paper Award (2001) Guangdong Province Higher Education Science and Technology Progress Second Prize (1991) Guangdong Province Higher Education Science and Technology Progress Second Prize (1989) Chinese Ministry of Education Scientific and Technological Achievements Second Prize (1986) Professor FURUZUKI has maintained continuous research activity since joining Waseda University in 2003, with significant contributions to multiple research projects spanning neural computation, soft computing, and system engineering. His work demonstrates strong international collaboration, with publications involving researchers from various institutions worldwide. His research output includes over 410 papers with 3,623 citations and an h-index of 23 according to Scopus data. The NCLab research group, which he leads, focuses on neural computation and related areas, providing a platform for interdisciplinary research that bridges theoretical foundations with practical applications in healthcare, energy systems, and intelligent transportation. His laboratory environment fosters innovation in machine learning algorithms and their application to real-world problems, with particular emphasis on developing efficient, robust solutions for complex data analysis tasks.

Timothy Williamsonمشاهده پروفایل

استاد

• Epistemology
• Metaphysics
• Philosophy of Language
• +۳ مورد دیگر

Timothy Williamson is a prominent Professor of Philosophy at the University of Oxford, holding the prestigious Wykeham Professorship of Logic. His academic career spans several decades with continuous contributions to analytic philosophy, particularly in epistemology, metaphysics, and philosophical logic. His work has positioned him as one of the leading philosophers of his generation. Williamson's research interests concentrate on epistemology (particularly his influential knowledge-first approach), metaphysics, philosophy of language, and philosophical logic. His work on vagueness champions epistemicism—the view that vague predicates have sharp boundaries that we cannot know. His book Knowledge and its Limits revolutionized epistemological thinking by placing knowledge rather than belief at the center of epistemological theory. Williamson has also made significant contributions to modal metaphysics, higher-order thought, and the philosophy of logic. His publication record reveals consistent engagement with foundational philosophical problems across several decades. His most recent work continues his exploration of knowledge-first epistemology while expanding into moral epistemology and methodological questions in philosophy. Williamson's articles demonstrate a distinctive blend of logical precision and philosophical depth, often using formal methods to address traditional philosophical problems. His work frequently intersects with debates in philosophy of language, metaphysics, and philosophical methodology. Williamson has been actively engaged in scholarly debate through numerous replies to critics, demonstrating his commitment to rigorous philosophical dialogue. His publications span major philosophy journals including Synthese , Canadian Journal of Philosophy , Analysis , and Philosophy and Phenomenological Research . Throughout his career, Williamson has mentored numerous graduate students and collaborated with leading philosophers across the globe. His methodological approach emphasizes the value of formal modeling in philosophical inquiry, arguing that philosophy can benefit from the model-building approaches common in natural sciences.

Megan Richardsonمشاهده پروفایل

استاد

• Intellectual Property
• Privacy Law
• Personality Rights
• +۲ مورد دیگر

Professor Megan Richardson is an Honorary Professor at the University of Melbourne's Law School, specializing in intellectual property, privacy rights, and legal theory. She has contributed significantly to privacy law reform through advisory roles with the Australian Law Reform Commission and NSW Law Reform Commission. Research focuses on: Evolution of privacy rights in digital contexts Intellectual property intersections with personality rights Data governance frameworks Legal responses to automated decision-making Historical development of privacy doctrines Publication trends show increasing engagement with technology-law interfaces, particularly algorithmic systems and data rights. Recent work examines AI's impact on privacy, blockchain applications, and pandemic surveillance technologies, often employing interdisciplinary approaches combining law with cultural studies. Scientific Awards: No awards mentioned in provided materials. Research Leadership: Serves as Coordinating Editor for Cambridge Elements Series: Data Rights and Wrongs. No specific student advising information available.

Peng Liمشاهده پروفایل

استاد

• Integrated Circuits and Systems
• Brain-Inspired Computing
• Electronic Design Automation
• +۶ مورد دیگر

Peng Li is a Professor in the Department of Electrical and Computer Engineering at the University of California, Santa Barbara. His research focuses on integrated circuits, brain-inspired computing, electronic design automation, and hardware machine learning systems. He holds Fellow status in the Institute of Electrical and Electronics Engineers (IEEE). His work emphasizes neuromorphic engineering, spiking neural networks, and the intersection of machine learning with analog circuit design. Education includes a PhD in Electrical and Computer Engineering from Carnegie Mellon University, an MS in Systems Engineering from Xi'an Jiaotang University, and a BS in Information Science and Engineering from the same institution. His research has been recognized with prestigious awards including the ICCAD Ten-Year Retrospective Most Influential Paper Award and multiple Design Automation Conference Best Paper Awards. Key research trends in his articles include advancements in spiking neural networks (SNNs), hardware accelerators for neuromorphic computing, Bayesian optimization for analog circuit design, and robustness in machine learning systems. He explores topics like adversarial robustness, energy-efficient architectures, and data-efficient prediction techniques. His work bridges theoretical machine learning models with practical hardware implementations, particularly in 3D integration and systolic array acceleration. Notable contributions include pioneering hybrid approaches combining formal verification with machine learning for analog circuits (HFMV framework), and innovations in neuromorphic processors such as the 3D Liquid State Machine architecture. His research also addresses challenges in semiconductor manufacturing, including wafer map pattern recognition and failure detection through semi-supervised learning and contrastive methods. Awards highlight his impactful contributions to both design automation and neural computing. His grants and collaborations likely span industry partnerships in semiconductor technology and neuromorphic computing. He leads a lab focused on next-generation hardware-software co-design for intelligent systems, emphasizing energy efficiency and scalability.

• Intellectual History
• History of Scholarship
• History of Science
• +۳ مورد دیگر

Scott Mandelbrote is a Fellow, Director of Studies in History, and Perne Librarian at Peterhouse, University of Cambridge. His research explores early modern intellectual history with emphasis on the history of scholarship, science, and biblical interpretation. Mandelbrote teaches courses on the history of the book, nature and knowledge, and the politics of knowledge. He serves as Editorial Director of The Newton Project and General Editor for the Oxford Bibliographical Society. His current projects include digital approaches to watermark analysis using Isaac Newton's manuscripts and studies of early modern Hebrew books in Cambridge collections. Mandelbrote has published extensively on Isaac Newton, biblical scholarship, and early modern intellectual networks. His work bridges history of science, religious studies, and book history across Europe from the Renaissance to the Enlightenment.

Julia Cramerمشاهده پروفایل

استادیار

• Quantum Science
• Quantum Technology
• Science Communication
• +۷ مورد دیگر

Julia Cramer is an Assistant Professor in the Department of Science Communication and Society at the Institute of Biology Leiden (IBL), Leiden University, with a joint affiliation at the Leiden Institute of Physics (LION). Her research focuses on the intersection of quantum science and technology with society, particularly through the lens of science communication, public engagement, and societal readiness. She leads the Quantum and Society research group and is actively involved in national and European initiatives on the Ethical, Legal, and Societal Aspects (ELSA) of quantum technology. PhD in Applied Physics, Delft University of Technology Member of the Dutch Physics Association (NNV) Co-founder of Women in Quantum Development (WIQD) Chair of the Young Academy Leiden (from 2023) Former member of the CBS communicatie-adviesraad Member of the Physics Scientific Advisory Board of the Lorentz Center Julia Cramer's research interests lie at the intersection of quantum technology and society. She investigates how quantum science is communicated to the public, how societal groups perceive quantum technologies, and how to foster inclusive and responsible innovation. Her work emphasizes broadening youth participation in STEM and enhancing diversity in quantum fields. She is passionate about making quantum accessible to non-expert audiences and ensuring that technological development aligns with societal values. Her recent publications reflect a strong trend in science communication, public perception, and societal integration of quantum technologies. Themes include measuring public attitudes, designing effective outreach interventions, promoting diversity, and addressing ethical implications. The research combines qualitative and quantitative methods to assess communication strategies and societal impacts. Casimir Prize (during PhD) Recognized as one of the Faces of Science by KNAW Julia Cramer supervises several PhD candidates and is involved in mentoring early-career researchers. She has led initiatives such as the Women in Quantum Development (WIQD) and contributes to national science policy through advisory roles. Her research is supported by collaborations with Quantum Delta NL and other European networks focused on responsible quantum innovation. She leads the Quantum and Society research group, which focuses on content analysis of quantum communication, developing attitude measurement tools, and evaluating the impact of public engagement interventions. The group collaborates with physicists, social scientists, educators, and policymakers to ensure a multidisciplinary approach to quantum-society integration.

Tim Oatesمشاهده پروفایل

استاد

• Machine Learning
• Artificial Intelligence
• Deep Learning
• +۷ مورد دیگر

Dr. Tim Oates is a Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County . His research spans machine learning, artificial intelligence, and brain-machine interfaces, with a focus on weakly supervised methods, human-in-the-loop reinforcement learning, and grounded policy development for robotics. Ph.D., Computer Science, University of Massachusetts, Amherst, 2000 M.S., Computer Science, University of Massachusetts, Amherst, 1997 B.S., Computer Science and Electrical Engineering, 1989 Current research threads include: Developing non-invasive brain injury severity assessment via medical time series Modeling human brain development through computational frameworks Designing algorithms for autonomous robotic learning Recent publications highlight AI security mechanisms (backdoor detection via tensor decomposition, matrix factorization) Medical applications (3D artery reconstruction, skin lesion diagnosis, EEG denoising) Neuro-symbolic integration (holographic representations, language-guided reinforcement learning) Mathematical reasoning (schema-based problem solving, subitizing algorithms) Contact: oates@cs.umbc.edu | Office: 336 Information Technology and Engineering (ITE) Building

Zachary McDowellمشاهده پروفایل

استادیار

• Digital Media Studies
• Information Literacy
• Wikipedia and Knowledge Production
• +۵ مورد دیگر

Zachary McDowell is an Assistant Professor of Communication at the University of Illinois Chicago (UIC), affiliated with the College of Liberal Arts and Sciences and the Department of Communication. His research focuses on access, advocacy, and equity in digital spaces, particularly regarding knowledge production in platforms like Wikipedia and the ethical implications of AI. He holds a PhD in Communication from the University of Massachusetts, Amherst. Dr. McDowell’s research explores how technology shapes cultural production, digital literacy, and equity. Key areas include AI’s impact on knowledge systems, ethics of data commons (e.g., Wikidata), and participatory media’s role in marginalized communities. He co-founded the open-access journal communication +1 , emphasizing innovation in communication scholarship. His teaching philosophy integrates critical engagement with technology and equity, using embodied practice to bridge theory and application. He volunteers in Chicago’s McKinley Park neighborhood and advocates for systemic equity in education and knowledge systems. Notable collaborations include work with the Wiki Education Foundation on student learning outcomes through Wikipedia editing. Education: PhD in Communication, University of Massachusetts Amherst Key Roles: Co-founder, communication +1 Journal; Research Fellow, Wiki Education Foundation Awards: None explicitly listed in provided texts

Alfred Hiattمشاهده پروفایل

استاد

• Medieval Studies
• Medieval Geography
• Spatial Representation
• +۴ مورد دیگر

Dr. Alfred Hiatt is a Professor of Medieval Studies at Queen Mary University of London's School of English and Drama. He holds a BA from the University of Sydney and a PhD from the University of Cambridge. His research focuses on medieval textual cultures, particularly spatial representation and the reception of classical geography in the Middle Ages. He has authored influential works such as Terra Incognita: Mapping the Antipodes before 1600 (2008) and Dislocations: Maps, Classical Tradition, and Spatial Play (2020). His current projects explore comparative medieval Arabic-Islamic and Latin-European geography, informed by a Leverhulme Trust-funded international network. Teaching responsibilities include courses on medieval literatures, Chaucer, Arthurian literature, and research methods at both undergraduate and postgraduate levels. He is a member of the Centre for Renaissance and Early Modern Studies (CREMS) and actively supervises doctoral students in his research areas. His work bridges historical cartography, classical reception, and the analysis of medieval forgeries, contributing to interdisciplinary dialogue across literary, historical, and cultural studies.

• Egyptology
• Ancient History
• Archaeology
• +۳ مورد دیگر

Prof. Ludwig D. Morenz is a Professor of Egyptology at the University of Bonn and Director of the Egyptian Museum Bonn. He holds positions as a Principal Investigator in archaeological research and leads excavations in Egypt. His academic journey includes a Habilitation from the University of Tübingen (2001), a PhD from Leipzig (1994), and extensive postdoctoral fellowships across Europe. His research focuses on Pharaonic socio-economic systems, particularly dependency relationships between state expeditions and Canaanite populations. He examines ancient Egyptian economy, religion, and cultural interactions through material and textual evidence. Key areas include the origins of alphabetic writing, solar deity symbolism, and Roman-Egyptian cultural hybridity. Morenz has secured over €1 million in third-party funding from institutions like the German Research Foundation (DFG) and Gerda Henkel Foundation. He supervises numerous doctoral and master's students, reviewing over 30 theses and international PhDs. His editorial roles include founding journals like Studia Sinaitica and Bonner Ägyptologische Beiträge . Major excavations under his leadership include the Elite Necropolis of Qubbet el Hawa and the Serabit el-Chadim Hathor temple project. He participates in consortia such as the DFG Research Training Group 'Archeology of Pre-Modern Economies' and the International Congress of Egyptologists. Awards: Heisenberg Fellowship (DFG), Feodor Lynen Fellowship (Humboldt Foundation), Herzog-Ernst Scholarship Exhibitions: Curated annual special exhibitions at the Egyptian Museum Bonn, including a landmark show on alphabetic writing origins at Cairo's National Museum Publications: 13 monographs, 4 edited volumes, and over 100 articles

• Artificial Intelligence
• Knowledge Management
• Secure Software Development
• +۳ مورد دیگر

Shao-Fang Wen is an Associate Professor at the Department of Information Security and Communication Technology, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU). Their work focuses on integrating artificial intelligence with cybersecurity, secure software development, and socio-technical systems. Research Interests: Artificial Intelligence and Cybersecurity Secure Software Development Semantic Web and Ontology Socio-Technical Systems System Security Assurance Publications and Contributions: Shao-Fang Wen has contributed significantly to developing frameworks for AI security assurance, quantitative security evaluation models (e.g., SAEOn metamodel), and contextualized learning systems for software security. Their work spans journal articles, conference papers, and book chapters, emphasizing ontology-based approaches and open source community dynamics. Teaching: IIKG2001 - Software Security