جست‌وجوی استاد و پژوهشگر

Rada Mihalceaمشاهده پروفایل

استاد

• Natural Language Processing
• Text Mining
• Computational Linguistics
• +۵ مورد دیگر

Rada Mihalcea is a Professor at the University of Michigan in the Computer Science and Engineering department. She actively promotes Natural Language Processing (NLP) applications for social good and founded the ACL Year Round Mentorship program. University: University of Michigan School: College of Engineering Department: Computer Science and Engineering Academic Rank: Professor Research Interests include: Natural Language Processing for social good applications Text Mining and Sentiment Analysis Deception Detection and Multimodal Analysis Cross-Cultural Computational Linguistics Educational Technology and Gender Studies Recent research trends focus on: Fake news detection using multimodal features Lexicon-based cross-cultural value analysis Thermal imaging for affective computing Deception detection through linguistic and physiological cues Applications in healthcare and counseling analysis Scientific Awards : Sarah Goddard Power Award (2019) Best Paper Award at CICLING (2019) Best Paper Award at SocInfo (2018) Additional Contributions : Co-authored textbooks on Text Mining and Graph-based NLP Developed FunPython tutorial for children Collaborative work with the School of Music on the Ada Lovelace Opera Active in diversity initiatives in computing

Robert Klemmensenمشاهده پروفایل

استاد

• Political Behavior
• Political Psychology
• Behavioral Genetics
• +۴ مورد دیگر

Robert Klemmensen is Professor and Assistant Head of Department at Lund University's Department of Political Science, where he coordinates research activities. He is a member of the LU Profile Area: Natural and Artificial Cognition, an interdisciplinary initiative exploring cognition from biological and computational perspectives. His work examines how genetic and psychological factors shape political behavior using advanced quantitative methods. Klemmensen's research focuses on: Voter opinion formation and behavioral alignment with stated preferences Genetic influences on political attitudes through twin studies Quantitative text analysis of political rhetoric Machine learning applications in political ideology detection Normative implications of empirical findings in democratic systems His publications demonstrate consistent focus on genetic-behavioral interactions in politics, with recent work incorporating computational methods like deep learning for facial analysis and natural language processing. Article clusters examine: (1) heritability of political traits, (2) methodological innovations in text analysis, and (3) cross-disciplinary connections between political science and genetics. He currently co-edits Political Psychology and Research and Politics , and serves on the Independent Research Fund Denmark. Klemmensen leads the research project 'Divided Parliaments? Polarization, Moralization, and the Risk of Gridlock' (2024-2027), funded by the Bank of Sweden Tercentenary Foundation, examining governance challenges in polarized environments. Within Lund University's Natural and Artificial Cognition profile area, he collaborates with computer scientists and cognitive researchers to develop interdisciplinary approaches to political behavior analysis.

Goran Glavašمشاهده پروفایل

استاد

• Computational Semantics
• Multilingual Representation Learning
• Low-Resource NLP
• +۲ مورد دیگر

Goran Glavaš is a Professor at the University of Würzburg's Faculty of Mathematics & Computer Science, holding the Chair for Natural Language Processing (Computer Science XII) and affiliated with the Center for Artificial Intelligence and Data Science (CAIDAS). His research focuses on computational semantics, multilingual/low-resource representation learning, and democratizing language technologies through fairness and sustainability. Former Assistant Professor at University of Mannheim (2017-2021) Interim Associate Professor at LMU Munich (2021-2022) Doctorate in 2014 at University of Zagreb under Jan Šnajder Recent research trends emphasize cross-lingual learning, multilingual knowledge integration, and ethical AI frameworks. His group contributes to robust multilingual models, vision-language systems, and sustainable NLP applications in social sciences. Outstanding Paper Award at ACL 2024 (IRCoder) Outstanding Paper Award at EACL 2024 (Kardeş-NLU) Extensive publications in EMNLP, ACL, NAACL, EACL, and TACL Advises a team of researchers at the University of Würzburg's NLP Chair, including Benedikt Ebing, Gregor Geigle, and Fabian David Schmidt. Leads the WüNLP group within CAIDAS, focusing on democratizing language technologies.

• Artificial Intelligence
• Explainable AI
• Computational Argumentation
• +۳ مورد دیگر

Antonio Rago is a Researcher in the Department of Computing at Imperial College London. He specializes in Explainable Artificial Intelligence (XAI) with a focus on computational argumentation frameworks and their integration with data-driven AI systems. His work bridges symbolic AI and machine learning to enhance transparency and societal benefit in AI applications. Education: PhD in Computing (2019) from Imperial College London, supervised by Prof. Francesca Toni and Dr. Marco Aurisicchio, with an MEng in Automotive Engineering from Loughborough University (2012). Research: Explores explainable AI through argumentation semantics, counterfactual reasoning, and hybrid symbolic-statistical methods. Application domains include e-learning, Formula One race strategy, healthcare, and mechanical engineering. Workshops: Organizer of international workshops like Arg&App 2025 and ArgXAI-25, and co-organizer of previous events at KR, ECAI, and COMMA conferences. Publications: Active in top AI venues (KR, IJCAI, AAAI, AAMAS) with over 25 publications since 2016, emphasizing argumentation-based explanations and robust AI systems. Industry Experience: Former Race Strategy Engineer at Mercedes AMG Petronas F1 Team (2012-2014) and Project Manager at Green Lifting Ltd. (2014-2017).

Ewa Ciszek-Kiliszewskaمشاهده پروفایل

دانشیار

• Historical Linguistics
• Old English
• Middle English
• +۷ مورد دیگر

Ewa Ciszek-Kiliszewska is an Associate Professor at Adam Mickiewicz University in Poznań, affiliated with the Faculty of English and the Department of the History of English. She holds the academic title of Dr. hab. (D.Litt.) in English, awarded in 2019, and maintains an active research profile in historical linguistics with particular focus on Old and Middle English language structures. Her institutional contact is via Collegium Heliodori Święcicki, room 160, with the university email evac@amu.edu.pl and phone number (+48) 61 829 1030. Ewa Ciszek-Kiliszewska earned her academic credentials at Poznań institutions: MA in English (2002), Ph.D. in English (2005), and D.Litt. in English (2019). Her professional development includes specialized training such as the 'Effective Assessment of Learning Achievement' project led by Prof. Kristin Stang at California State University, Fullerton (2016), and multiple AMU Teaching Workshops on presentation techniques and institutional visits (2017-2018). Her research interests center on historical aspects of the English language, particularly Old and Middle English word formation, semantics, morphology, morphosyntax, lexis, and dialectology. She has made significant contributions to understanding grammaticalization processes, suffixal development, and prepositional systems in medieval English. Her scholarly work demonstrates deep engagement with corpus linguistics methodologies and historical textual analysis. Analysis of her publication record reveals consistent focus on Middle English linguistic structures, particularly prepositions, adverbs, and derivational morphology. Her research demonstrates methodological rigor through corpus-based analysis of Middle English texts, with particular attention to dialectal variation, semantic development, and grammaticalization processes. The temporal pattern shows sustained scholarly output from 2002 through 2018 across multiple prestigious journals in historical linguistics. Prime Minister's Award for Doctoral Dissertations (2006) Professor Ciszek-Kiliszewska has served as a peer reviewer for multiple academic journals including Medieval English Mirror, Token: A Journal of English Linguistics, Poznań Working Papers in Linguistics, Studia Anglica Posnaniensia, and Research in Language. She has held editorial positions as Guest Editor of Studia Anglica Posnaniensia (2014) and Assistant to the Editor for Medieval English Mirror (2004-). Her professional service includes membership on organizing committees for international conferences such as SELIM, Young Linguists' Meetings, and Medieval English Studies Symposia. Her scholarly activities extend to active participation in professional organizations including Societas Linguistica Europea and the Polish Association for the Study of English (PASE). She has presented research at numerous international conferences worldwide and delivered guest lectures at institutions including the University of La Coruña, University of Warsaw, and University Jaume I. Her research collaborations and academic engagements demonstrate strong international connections within the historical linguistics community.

Piotr Gąsiorowskiمشاهده پروفایل

استاد

• Phonology
• Historical Linguistics
• Indo-European Linguistics
• +۷ مورد دیگر

Professor Piotr Gąsiorowski is a University Professor of Linguistics at the Faculty of English, Adam Mickiewicz University in Poznań, Poland. With a distinguished academic career spanning several decades, he holds a D.Litt. in English linguistics and has established himself as a leading expert in historical linguistics, phonology, and Indo-European studies. His work bridges traditional philological approaches with evolutionary perspectives on language change. His academic journey includes: M.Sc. in electronic engineering, Warsaw, 1984 M.A. in English, Poznań, 1987 Ph.D. in English, Poznań, 1994 D.Litt. in English linguistics, Poznań, 1998 Professor Gąsiorowski's research focuses on phonological change, historical linguistics, and the evolution of language systems. His work particularly emphasizes the reconstruction of Proto-Indo-European phonology and morphology, with special attention to Germanic sound laws like Verner's Law. He has pioneered an evolutionary approach to language variation and change, examining how linguistic systems adapt over time through processes analogous to biological evolution. His scholarship spans theoretical phonology, historical semantics, and the comparative method, with numerous publications addressing complex problems in etymology and sound change. His extensive publication record shows consistent focus on phonological change in Indo-European languages, with particular expertise in Germanic historical linguistics. Professor Gąsiorowski frequently examines how sound changes interact with morphological systems, and his work often challenges established interpretations of complex historical developments. He has made significant contributions to understanding the phonemicization of voiced fricatives in English, the etymology of obscure lexical items, and the reconstruction of Proto-Indo-European grammatical categories. His scholarly recognition includes: Minister of National Education's Award for outstanding research results (1998) Minister of National Education's Award for outstanding research results (2004) Medal of the Commission of National Education (KEN) (2013) Professor Gąsiorowski has supervised numerous graduate students and has been actively involved in academic service, serving on editorial boards and as a reviewer for major linguistics journals. He led the NCN OPUS11 research project 'A multivalued model of stress in English' (2017-2020) as Principal Investigator. His international collaborations include guest professorships at the University of Vienna and research stays at Oxford University and UCLA. Beyond traditional academic work, Professor Gąsiorowski maintains an influential blog called 'Language Evolution' and has been an active Wikipedia contributor since 2004, creating and improving numerous articles on phonetics and historical linguistics. His interdisciplinary approach connects linguistic theory with insights from evolutionary biology and cognitive science.

René Vidalمشاهده پروفایل

استاد

• Machine Learning
• Computer Vision
• Biomedical Data Science
• +۳ مورد دیگر

René Vidal is the Rachleff & Penn Integrates Knowledge (PIK) University Professor at the University of Pennsylvania, with appointments in the Departments of Electrical and Systems Engineering, Radiology, Computer and Information Science, and Statistics and Data Science. He also serves as Director of the Center for Innovation in Data Engineering and Science (IDEAS) and the NSF-Simons Collaboration on the Mathematical Foundations of Deep Learning (THEORINET). A dual faculty member at Johns Hopkins University in Biomedical Engineering, Computer Science, and other departments, Vidal is an Amazon Scholar and Affiliated Chief Scientist at NORCE. PhD, Electrical Engineering and Computer Sciences, University of California, Berkeley (2003) M.S., Electrical Engineering, University of California, Berkeley (2000) B.S. (valedictorian), Electrical Engineering, Pontificia Universidad Catolica de Chile (1997) His research spans the mathematical foundations of deep learning, focusing on non-convex optimization , learning dynamics , and overparametrization . Key contributions include Sparse Subspace Clustering , Kernel GPCA , and Low-Rank Matrix Factorization , with applications in autism diagnosis , robotic surgery , and cardiac imaging . Recent work explores continual learning , adversarial robustness , and trustworthy AI in biomedical contexts. His 15 most recent publications highlight advances in medical imaging , language models , and robust computer vision , spanning topics from chest X-ray analysis to motor imitation tasks in autism . Articles like Geometric Analysis of Nonlinear Manifold Clustering underscore his theoretical contributions, while works on KDA: Knowledge-Distilled Attacker and Conformal Information Pursuit address practical AI safety and interpretability. Scientific accolades include: 2022 ACM Fellow 2021 IEEE McCluskey Technical Achievement Award 2017 Jean D’Alembert Fellowship 2012 J.K. Aggarwal Prize 2009 Sloan Research Fellow 2005 NSF CAREER Award His lab mentors 11 current PhD students across Johns Hopkins and University of Pennsylvania , with alumni contributing to institutions like Meta , Amazon , and GE Research . Vidal’s interdisciplinary work bridges mathematics , engineering , and healthcare , supported by grants from the DoD , NSF , and ONR .

Bogumiła Hnatkowskaمشاهده پروفایل

استادیار

• Software Engineering
• Analysis and Design of Information Systems
• Software Development Methodologies
• +۳ مورد دیگر

Dr. Bogumiła Hnatkowska serves as Assistant Professor at the Institute of Informatics within the Faculty of Computer Science and Management at Wrocław University of Science and Technology. Her academic career spans software engineering research and education with emphasis on model-driven approaches and quality assurance methodologies. Her research interests include: Software Engineering Analysis and Design of Information Systems Software Development Methodologies Model-Based Software Development Domain-Specific Languages Software Quality Recent publications (2021-2025) reveal concentrated research in model-driven engineering, business rules processing, and ontology integration. Key trends involve textual specification languages for use-cases, automated test generation mechanisms, and formal transformations for ontologies – demonstrating consistent application of theoretical rigor to practical software development challenges across agile and model-based contexts. Scientific Awards: No scientific awards were mentioned in the provided text Dr. Hnatkowska has served as principal investigator for multiple State Committee for Scientific Research grants including UML extensions for multimedia systems (2000), real-time systems analysis (2005), and model-driven database design (2008). Her teaching portfolio includes Software Engineering, Software System Development, and Advanced Programming Techniques courses where she supervises team projects providing students with hands-on development experience. She actively participates in partner programs including Visual Paradigm's Academic Training Partner Program (providing UML/BPMN/agile tools) and IBM Academic Initiative, supporting her research in software engineering methodologies and educational tool development.

Eneko Agirreمشاهده پروفایل

استاد

• Natural Language Processing
• Computational Linguistics
• Language Technology
• +۷ مورد دیگر

Eneko Agirre is a Full Professor at the Faculty of Computer Science of the University of the Basque Country UPV/EHU, where he serves as the director of the HiTZ Centre on Language Technology. He is an active member of the Ixa Research Group and has established himself as a leading figure in Natural Language Processing, particularly in multilingual and low-resource language settings. His work bridges theoretical advances with practical applications for language technology. Agirre received his PhD from the University of the Basque Country in 1999 with a thesis on conceptual relationships and ontologies, supervised by Dr. Kepa Sarasola Gabiola and Dr. Arantza Díaz de Ilarraza Sánchez. His academic journey has been marked by significant contributions to computational linguistics and language technology. His research primarily focuses on Natural Language Processing challenges, with special emphasis on Word Sense Disambiguation, cross-lingual transfer learning, dialogue systems, and Large Language Models for low-resource languages. He has pioneered work on Basque language technology and has consistently addressed the challenges of multilingual AI systems, particularly examining how language models perform across different linguistic contexts and cultural settings. Analysis of his recent publications reveals a strong trajectory toward advancing Large Language Models for low-resource languages, with particular attention to Basque. His work spans vision-language models, information extraction techniques, and rigorous evaluation methodologies for NLP systems. A recurring theme is the exploration of how language models handle low-resource languages compared to high-resource ones, with groundbreaking findings about cultural knowledge transfer between languages. Fellow of the ACL (2021), one of only 74 research leaders worldwide National Research Prize on Informatics (2021) Best resource paper award at ACL 2024 Honourable mention paper award (top 1%) at EMNLP (2020) Outstanding Paper award (top 2%) at COLING (2020) Recipient of three Google Faculty Research Awards (2017, 2018, 2019) Agirre has supervised over 25 PhD students, many of whom have received prestigious awards including the EurAI Artificial Intelligence PhD Dissertation Award. His research has been supported by numerous European projects including LIHLITH (2018-2020) on lifelong learning for dialogue systems, and he has served as principal investigator for multiple CHIST-ERA and FP7 projects. His work with Google includes collaborative projects on entity dictionaries and conversational question answering systems. As director of the HiTZ Centre on Language Technology and member of the Ixa Research Group, Agirre leads a vibrant team focused on advancing language technology for Basque and other under-resourced languages. The center has developed significant resources including Latxa, an open language model for Basque, and has established itself as a hub for multilingual NLP research. His group actively collaborates with international institutions including Stanford, NYU, and various European universities, fostering a global network for language technology research.

• Autonomous Driving
• Computer Vision
• Robotics
• +۳ مورد دیگر

Markus Enzweiler serves as Professor of Computer Science and Autonomous Systems at Esslingen University of Applied Sciences within the Department of Computer Science and Engineering. He concurrently holds the leadership position of Director at the Institute for Intelligent Systems, where he oversees research initiatives focused on intelligent systems development for real-world autonomous applications. His research program centers on computer vision for autonomous systems , with specialized expertise in visual-inertial SLAM, collective perception, and neural rendering techniques. Key investigation areas include environmental robustness across agricultural and urban settings, real-time processing constraints for embedded systems, sensor fusion methodologies (particularly camera-radar integration), and the application of generative models for perception enhancement. His work consistently addresses practical implementation challenges such as computational efficiency and sensor calibration in unstructured environments. Analysis of his 2023-2025 publications reveals three dominant research trajectories: (1) Advancement of lightweight perception systems through stixel-based representations and neural rendering; (2) Development of infrastructure-supported collective perception frameworks with datasets like CoopScenes and OPNV; and (3) Rigorous benchmarking of SLAM components in domain-specific contexts including agricultural robotics and multi-season navigation. His recent systematic review on LLM-based vulnerability detection also demonstrates expanding interest in software security for autonomous systems. As Director of the Institute for Intelligent Systems, Prof. Enzweiler leads a research ecosystem focused on translating theoretical advances into practical autonomous vehicle technologies. His team develops specialized datasets (Rover, OPNV) and software stacks for smart city environments, emphasizing the integration of novel perception approaches with vehicle dynamics modeling and real-time operational constraints.

• Philosophy of Science
• Emergence
• Evolutionary Theory
• +۵ مورد دیگر

Dr. Vladimír Havlík is an Associate Professor at the Faculty of Philosophy, Masaryk University, and a researcher at the Institute of Philosophy of the Academy of Sciences of the Czech Republic since 1991. His academic career spans philosophy of science, emergence theory, and evolutionary epistemology. Education: PhDr. in Philosophy (1986, Charles University), CSc. (1990, Czechoslovak Academy of Sciences) Key roles: Secretary of the Czech Committee for Logic, Methodology and Philosophy of Science, computer network administrator at the Institute of Philosophy Dr. Havlík's research focuses on the philosophical foundations of science, particularly emergence, evolutionary theory, and the status of special sciences. His work critically examines reductionism, physicalism, and the methodology of cosmology, often bridging physics with metaphysical analysis. His publications analyze the interplay between logical positivism, scientific rationality, and interdisciplinary ontological principles. He has taught courses on philosophy of science, history of physics, and methodological seminars at the University of West Bohemia and Masaryk University. As a translator and editor, he has contributed to disseminating key texts in analytical philosophy, including works by Schlick, Waismann, Popper, and Feyerabend. His academic engagement extends to organizing symposia and serving on institutional IT commissions.

• Metaphors
• Creative figurative language
• Multilingualism
• +۱۳ مورد دیگر

Signe Rix Berthelin is an Associate Professor in Norwegian Didactics at the Department of Teacher Education, Norwegian University of Science and Technology (NTNU). She holds a position focused on language education, multilingualism, and linguistic research with particular emphasis on indigenous languages and pedagogical approaches. Her research interests span a wide range of linguistic and educational fields including metaphors and creative figurative language, multilingualism and translingualism in educational settings, Sami language integration in Norwegian teacher education, pragmatic particles in Norwegian (such as 'da' and 'jo'), and semantics and pragmatics. She has specialized expertise in Inuit languages, particularly Inuvialuktun and Alaska Iñupiaq, with research focusing on modality, evidentiality, and relevance theory. Her work also addresses language revitalization, educational grammar explanations, and research ethics in linguistic fieldwork. Berthelin's scholarly output demonstrates consistent productivity across multiple linguistic domains. Her recent publications show a strong focus on multilingual education practices, particularly translingual approaches in writing instruction and the integration of multiple language resources in classroom settings. She has made significant contributions to understanding metaphorical creativity in multilingual contexts and the didactics of neighboring languages. Her earlier work established expertise in Inuit language documentation, especially concerning modal expressions and evidential markers in Uummarmiutun and related dialects. Aurora Research Institute Research Fellowship Grant (2015) Aurora Research Institute Research Assistant Grant (2015) Travel and research grant from the Nordic Association of Linguists (2011) Berthelin actively supervises master's students through the PRANO project (Praksisforankrede norskfaglige masteroppgaver), which creates collaborative frameworks between schools and teacher education institutions. She has received funding from multiple sources including the Aurora Research Institute, NTNU's humanities faculty, and LingPhil. Her fieldwork in Utqiagvik (2011) and Inuvik (2014, 2015) demonstrates her commitment to linguistic documentation of endangered languages. She participates in several research networks including Indigenous Topics in Education, Linguistic Diversity in School and Society, Aesthetics Across Disciplines, and Neighboring Language Didactics. She co-leads the Lydrik(k) project, an annual collaboration where teacher students, pupils, professional artists, and teacher educators explore connections between music and poetry through songwriting and lyrical work.

Mathieu Brédifمشاهده پروفایل

پژوهشگر

• Lidar Processing
• 3D Reconstruction
• Geovisualization
• +۵ مورد دیگر

Mathieu Brédif is a Permanent Researcher at LASTIG, Gustave Eiffel University, affiliated with the National School of Geographic Sciences (ENSG) and IGN. He serves as co-chair of ISPRS Working Group II/3 on Point Cloud Processing (2016-2020) and chaired ISPRS Working Group III/5 on Graphics and Remote Sensing (2012-2016). His academic appointments include Assistant Professor at École Polytechnique teaching Image Analysis and Computer Vision (INF573) and 3D Computer Graphics (INF443) since 2019-2020. Telecom ParisTech PhD (2005-2010) Stanford University Master in Computer Science (2004) École Polytechnique Engineering Degree (2000-2005) Brédif's research focuses on Lidar processing, 3D reconstruction, and geovisualization , with significant contributions to point cloud analysis, urban scene modeling, and historical image integration. His work bridges computer vision, photogrammetry, and geographic information systems, emphasizing practical applications in urban planning and cultural heritage. He has developed novel algorithms for point cloud inpainting, visibility estimation, and distributed 3D reconstruction. His publications reveal consistent focus on urban modeling through point cloud processing (58% of works), image-based rendering techniques (22%), and geovisualization systems (15%). The research trajectory shows increasing emphasis on deep learning applications for LiDAR data since 2016, alongside continued development of geometric algorithms for photogrammetric processing. ANR project leadership in geospatial data valorization (structurAtion et vaLorisation du patrimoinE géoGraphique - 9) iSpace&Time 4D web GIS development (5) European project participation in high-volume point cloud analysis (8) Brédif actively mentors doctoral candidates, currently supervising Melvin Hersent, Alexane Nghien, and Florent Geniet, with 8 completed PhDs including Pierre Biasutti and Murat Yirci. His laboratory work centers on the GEOVIS research team , developing the iTowns open-source framework for 3D geospatial visualization, which powers the Géoportail's 3D data engine and supports multiple ANR projects in cultural heritage visualization.

Krzysztof Leśniewskiمشاهده پروفایل

استاد

• Orthodox Theology
• Christian Anthropology
• Hesychasm
• +۵ مورد دیگر

Professor Krzysztof Leśniewski serves in the Department of Orthodox Theology at John Paul II Catholic University of Lublin, Poland, where he has established himself as a leading scholar bridging theological inquiry with medical ethics and psychological studies. His academic profile reflects deep expertise in Eastern Orthodox spirituality, particularly hesychasm, and its application to contemporary issues surrounding death, dying, and palliative care. Leśniewski's research interests span Orthodox theology , Christian anthropology , bioethics , and ecumenical dialogue , with a distinctive focus on how theological concepts inform medical practice. His work frequently examines the Great Canon of St. Andrew of Crete , brain death criteria, hope studies in terminal illness, and the spiritual dimensions of healthcare. His interdisciplinary approach connects theological anthropology with practical medical concerns, demonstrating how ancient spiritual traditions can inform modern healthcare practices. Analysis of his recent publications reveals a consistent trend toward interdisciplinary scholarship that combines theological depth with empirical medical research. His articles frequently appear in both theological journals like European Journal of Science and Theology and medical journals including International Journal of Environmental Research and Public Health , reflecting his unique position at the intersection of faith and healthcare. The recurring themes across his work include the theological understanding of human personhood, the spiritual dimensions of dying, and the application of Orthodox spirituality to contemporary medical ethics challenges. Nagroda im. Księzia Konstantego Ostrogskiego za zasługi w rozwoju myśli, kultury i duchowości prawosławia oraz działalność na rzecz jednoczenia chrześcijan (Prince Konstanty Ostrogski Award for merits in Orthodox thought, culture, and spirituality) Leśniewski has served extensively as a reviewer for doctoral dissertations in theology and Orthodox studies, though specific advisees are not listed in the available materials. His organizational work includes coordinating national conferences on topics ranging from hospice care to Eastern Christian spirituality. His scholarly activities demonstrate significant engagement with both academic theology and practical healthcare concerns, particularly through his examination of how Orthodox theological anthropology informs contemporary medical ethics and palliative care practices.

Zihao Fuمشاهده پروفایل

عضو هیئت علمی

• Large Language Models
• Natural Language Processing
• Machine Learning
• +۷ مورد دیگر

Zihao Fu is a Research Assistant Professor at The Chinese University of Hong Kong (CUHK), specializing in Large Language Models (LLMs) and Natural Language Processing (NLP) . His work bridges computational methods with social sciences, focusing on model instability, repetition, hallucination, and algorithmic fairness. He has held research positions at the Oxford Internet Institute and the Language Technology Lab at the University of Cambridge. Education Ph.D. in Systems Engineering and Engineering Management (2017–2021), CUHK M.Eng. in Aeronautics and Astronautics (2012–2015), Beihang University B.Eng. in Automation Science (2008–2012), Beihang University His research explores the theoretical foundations of LLMs, addressing challenges like repetition , instability , and hallucination . He integrates linguistics , cognitive science , and fairness frameworks to enhance both foundational understanding and real-world applications of language technologies. Recent work includes biomedical NLP applications ( BAND dataset ), parameter-efficient model adaptation, and fairness toolkits ( OxonFair ). Zihao leads projects like BioCaster (disease outbreak monitoring) and CAM-Tool (cloud task distribution). He is actively mentoring postdoctoral researchers at CUHK and CUHK (Shenzhen), with expertise in machine learning , knowledge base integration , and parallel computing systems . His industry experience includes developing distributed algorithms at Alibaba Cloud’s PAI platform.