جست‌وجوی استاد و پژوهشگر

Florian Neitmannمشاهده پروفایل

پژوهشگر

• Jewish Apocalypticism
• Scriptural Reception
• Canonicity Studies
• +۵ مورد دیگر

Dr. Florian Neitmann serves as a Research Associate at the Institutum Judaicum Delitzschianum within the Faculty of Protestant Theology at the University of Münster. His current research focuses on Jewish apocalyptic literature, particularly 4 Ezra and 2 Baruch, examining concepts of law, canonicity, and scriptural reception in transcultural contexts. He is actively involved in the DFG Cluster of Excellence EXC 2060 project 'Transcultural Entanglement and Disentanglement in Jewish Apocalypticism' (2019-2025). Neitmann's educational background includes a Dr. theol. degree from Department 01 – Faculty of Protestant Theology at the University of Münster, where his dissertation 'The Law in the Fourth Book of Ezra' was supervised by Professor Dr. Lutz Doering. His research employs transcultural analysis to explore universalist legal concepts in 4 Ezra through comparisons with ancient Near Eastern wisdom traditions and Graeco-Roman philosophy. His scholarly work intersects Jewish apocalypticism with digital humanities methodologies, focusing on text annotation and semantic web applications. Current projects examine literacy practices, scriptural reception history, and the transmission of ancient Jewish writings in Syriac and Ethiopian traditions. His research demonstrates how texts like 4 Ezra negotiate universalist and particularist legal concepts in post-temple Judaism. Neitmann actively contributes to academic discourse through conference presentations at major international venues including the IOSOT Congress, European Academy of Religion conferences, and specialized workshops on cultural appropriation and transcultural perspectives. His recent work includes analysis of the Syriac lectionary manuscript Konath 77 from Kerala, India, revealing dynamics of canonicity in liturgical contexts. As an educator, Neitmann teaches courses on Hellenistic-Jewish literature, apocalyptic texts, Qumran writings, and New Testament exegesis. His teaching schedule for 2024-2026 includes seminars on apocalyptic literature, Pauline studies, and biblical exegesis methodology. He has previously served as a student assistant at the New Testament and Old Testament seminars under Professors Feldmeier, Müller, and Löhr, and contributed to Collaborative Research Centre 1136 projects on education and religion in Mediterranean cultures. Neitmann's research is conducted within the University of Münster's Cluster of Excellence 'Religion and Politics,' utilizing resources from the Institutum Judaicum Delitzschianum and collaborating with international institutions including MF School of Theology in Oslo and LMU Munich. His work bridges textual analysis with broader questions about transcultural entanglement in ancient religious thought.

• Bioinformatics
• Computational Biology
• Genomics
• +۴ مورد دیگر

Chien-Yu Chen is a Professor of Biomechatronics Engineering at National Taiwan University, where he has been on faculty since 2005, progressing from Assistant Professor to Associate Professor and currently serving as Professor. His research integrates computational approaches with biological systems, focusing on bioinformatics, genomics, and machine learning applications in medicine. Dr. Chen's educational background includes: PhD in Computer Science and Information Engineering from National Taiwan University (1999-2003) MS in Electrical Engineering from Stanford University (1996-1998) BS in Electrical Engineering from National Taiwan University (1992-1996) His research interests span multiple interdisciplinary domains at the intersection of computation and biology. Dr. Chen has made significant contributions to bioinformatics methodology development , particularly in genomic data analysis, variant interpretation, and integration of multi-omics data. His work frequently applies machine learning and deep learning approaches to solve challenging problems in genomics and precision medicine. A substantial portion of his research focuses on cancer genomics , particularly acute myeloid leukemia, as well as immunogenetics including HLA and KIR gene complex analysis. He has also contributed to population genomics with studies focused on the Taiwanese population, and to reproductive medicine through mitochondrial DNA research. Analysis of Dr. Chen's recent publications (2023-2024) reveals a strong focus on advancing computational methods for genomic analysis. His work increasingly incorporates deep learning techniques, including BERT models and variational autoencoders, to tackle complex biological questions. There's a clear emphasis on translational research with medical applications, particularly in cancer diagnostics and risk stratification, immunogenetics, and population-specific genomic medicine. His collaborative work spans multiple institutions and reflects an interdisciplinary approach that bridges computer science, engineering, and clinical medicine. Dr. Chen has been actively involved in mentoring students and leading research projects, though specific details about advisees are not provided in the available information. His research has been supported by various grants that enable large-scale genomic studies and methodological development in computational biology. His work appears to be conducted within a collaborative research environment that likely includes bioinformatics specialists, clinicians, and laboratory scientists, though specific lab or team names are not mentioned in the available information.

Sara Olivia Migliettiمشاهده پروفایل

مدرس ارشد

• Renaissance intellectual history
• History of political thought
• Translation studies
• +۵ مورد دیگر

Sara Miglietti is Senior Lecturer in Cultural and Intellectual History at the Warburg Institute, School of Advanced Study, University of London, where she also serves as Director of Studies for postgraduate research. Educated in Italy, France and the UK, she holds two PhDs—Philosophy (Scuola Normale Superiore di Pisa & Université Paris Descartes, 2012) and Renaissance Studies (University of Warwick, 2016)—and previously held a tenure-track Assistant Professorship at Johns Hopkins University (2015-2018). Education PhD Renaissance Studies, University of Warwick, 2016 PhD Philosophy, Scuola Normale Superiore di Pisa & Université Paris Descartes, 2012 MA History of Philosophy, Scuola Normale Superiore di Pisa, 2010 MA History of Philosophy, University of Pisa, 2008 Research Interests Dr Miglietti’s research spans Renaissance and early-modern intellectual history, the history of political and moral thought, translation and reception studies, book history, and environmental humanities. A unifying theme is the circulation and re-appropriation of knowledge across linguistic, geographical and chronological boundaries, with particular attention to the French thinker Jean Bodin and to early modern climate theories. Scientific Awards & Grants Leverhulme Research Project Grant RPG-2022-221 (£344,547, 2023-2026) Oliver Smithies Visiting Research Lectureship, Balliol College, Oxford (2018) David Walker Memorial Fellowship, Bodleian Library (2018) Frances A. Yates Research Fellowship, Warburg Institute (2016) DARO Postgraduate Scholarship, University of Warwick (2012-2015) National Scientific Qualification as Full Professor, Italy (2021-2032) Doctoral Supervision & Current PhD Students As first supervisor: George Brocklehurst, Daniel Samuel, Guillermo Willis. As second supervisor: Marisa Addomine, Merlin Cox, Elisa Stafferini. Additional Leverhulme-project students include Eugenia Sisto. Major Research Projects Writing Bilingually, 1465–1700: Self-Translated Books in Italy and France – Leverhulme Trust funded; PI 2023-2026 The Empire of Climate: Environment and Ethos in Early Modern Thought – monograph under contract with Johns Hopkins University Press Self-Translation in Renaissance France – monograph under contract with Routledge

• Sign Linguistics
• Corpus Linguistics
• Non-Manual Elements in Communication
• +۳ مورد دیگر

Dr. Marloes Oomen is a researcher at the University of Amsterdam's Faculty of Humanities, affiliated with the Linguistics Department (Capaciteitsgroep Taalwetenschap). She specializes in sign language research with a focus on non-manual elements in visual communication, including facial expressions, head movements, and torso gestures. Primary affiliation: University of Amsterdam Department: Linguistics Research focus: Non-manual marker annotation, sign language corpora, machine learning applications Her research explores the intersection of human categorical judgments and continuous measurement techniques in facial expression analysis. She advocates for standardized annotation practices through the ANM (Annotation standard for Non-Manual elements) framework, aiming to create reusable datasets for machine learning training in automated annotation systems. Marloes Oomen's work addresses fundamental questions about the role of human annotations versus quantitative measurements in linguistic research. She investigates how categorical human judgments about non-manual elements relate to continuous measurements from depth sensing cameras, focusing on their complementary roles in understanding visual communication. The 15 most recent publications demonstrate expertise in sign language corpus development, annotation reliability, and facial expression measurement. Key research areas include negation patterns, polar question analysis, hesitation markers, and computational methods for standardizing visual communication data. Current projects focus on establishing standardized annotation guidelines, developing machine learning models for automated analysis, and creating international collaborative frameworks for visual communication research. She emphasizes inter-rater agreement assessment and the development of computational tools to support annotation reliability.

Rob Gaizauskasمشاهده پروفایل

استاد

• Natural Language Processing
• Information Extraction
• Temporal and Spatial Information Processing
• +۷ مورد دیگر

Professor Rob Gaizauskas is a faculty member at the University of Sheffield , serving as Co-Director of the UKRI Centre for Doctoral Training in Speech and Language Technologies and leading the Natural Language Processing (NLP) research group . His academic journey began with a DPhil in Cognitive and Computing Sciences from the University of Sussex (1992), preceded by degrees in Philosophy from Carleton University and a Diploma in Information Processing. Education : DPhil (University of Sussex, 1992), MA (Carleton University, 1978), BA (Carleton University, 1975) His research focuses on NLP , particularly information extraction from texts, temporal/spatial information processing , automatic image description , argument mining , and evaluation of NLP systems . He has pioneered work in multi-document summarization , dialogue analysis , and comparable corpora for machine translation. Notable grants include: UKRI Centre for Doctoral Training in Speech and Language Technologies (2019–2027, £5.5M) VisualSense (2013–2016, £310k) SENSEI Project (2013–2016, £459k) ACCURAT (2010–2012, £268k) Scientific contributions : Co-developer of the GATE framework for text engineering Led biomedical NLP projects like BioWSD and PASTA Pioneering work in temporal relation identification (TempEval)

Nathalie Friburgerمشاهده پروفایل

دانشیار

• Natural Language Processing
• Named Entity Recognition
• Finite State Automata and Transducers
• +۳ مورد دیگر

Nathalie Friburger is an Associate Professor in Computer Science at the University Institute of Technology of Blois, affiliated with the University of Tours. She is a member of the Fundamental and Applied Computer Science Laboratory of Tours (LIFAT) and the BDTLN Research Team since 2003. Her academic work spans teaching in algorithms, programming, web development, and operating systems, while her research focuses on Natural Language Processing with particular expertise in named entity recognition and finite state transducers. Her research interests center on Natural Language Processing, specifically the automatic extraction of named entities using finite state automata and transducers. She has developed significant tools like CasSys for working with cascades of transducers within the Unitex text processing system. Her work extends to Arabic language processing, Renaissance text analysis, and cultural heritage applications, demonstrating both theoretical depth and practical implementation across multiple languages and domains. Analysis of her recent publications reveals a consistent focus on named entity recognition systems, with increasing specialization in Arabic language processing alongside continued work on French NER. Her research integrates rule-based approaches with data-driven methods, showing evolution from foundational work on transducer cascades toward more sophisticated hybrid systems and applications in digital humanities. The development of CasSys and related tools demonstrates her commitment to creating open, reusable infrastructure for the NLP community. She has served as co-supervisor for PhD students Damien Nouvel (2009-2012) and Fatma Ben Mesmia Chaabouni (2014-2019), contributing to the next generation of researchers in computational linguistics. Her research has been supported by multiple projects including ISTEX (2014-2017), Ortolang (2013-2014), Renom (2011-2013), and others focused on named entity recognition and text processing. Friburger has been actively involved in the academic community as Program Committee Member for TALN conferences (2013-2018), director of the TAL magazine on Named Entities (2013), and reviewer for numerous conferences including EMNLP and CIAA. She has also contributed to book editing, notably for TALN 2001 proceedings and the TAL Review on Named Entities (2013).

• Natural Language Processing
• Corpus Linguistics
• Computational Linguistics
• +۴ مورد دیگر

Hugo Sanjurjo-González is an Associate Professor at the Department of Computing, Electronics and Communication Technologies within the Faculty of Engineering at the University of Deusto. He holds a PhD in Intelligent Systems from the University of León with international distinction and Summa Cum Laude honors. Specializes in Natural Language Processing, Corpus Linguistics, and Computational Linguistics Develops software for multilingual corpus processing and linguistic data analysis Active in ontology-based writing assistance tools and semantic annotation Research Highlights: Focuses on integrating Deep Learning with NLP techniques, particularly Large Language Models (LLMs), to enhance linguistic data processing. Has contributed to multiple digital humanities projects involving theater corpora, parliamentary discourse, and culinary translations. Recent Publications: Special Issue HAIS 2021, PhrasIS benchmark, Content-based Authorship Identification Framework, and Theater Corpus Tools. Scientific Recognition: Mariano Rodríguez Award for Young Researchers Multiple prototype competition awards Professional memberships in academic societies Ongoing research grants in AI and language technology

• Semantic Web
• Linked Open Data
• Knowledge Management
• +۴ مورد دیگر

Klaus Tochtermann serves as a Professor at the Institute of Human-Centred Computing within the Faculty of Computer Science at Graz University of Technology. His research spans multiple dimensions of web technologies and knowledge management systems, with particular focus on the Semantic Web and Linked Open Data ecosystems. His research interests center on Semantic Web technologies , Linked Open Data applications , and knowledge management systems . Tochtermann explores how semantic technologies can transform information retrieval, knowledge organization, and collaborative processes in digital environments. His work investigates the economic implications of data value chains within the Web of Data ecosystem and develops methodologies for harvesting and integrating distributed knowledge resources. Analysis of his publication trends reveals consistent contributions to Semantic Web standards, with increasing focus on practical applications of Linked Data in enterprise and academic contexts since 2008. His work bridges theoretical computer science with real-world implementation challenges in knowledge-intensive domains. Stipendiat der Max Kade Foundation (1996) Tochtermann has led numerous significant research projects including EU-funded initiatives like MATURE (Continuous social learning in knowledge networks), ICT_ENSURE (European ICT environmental sustainability research), and FIT-IT Lasso (Lookup & Alignment Service with Semantic Open data). His project portfolio demonstrates strong collaboration with European research institutions and industry partners, addressing critical challenges in knowledge networking and semantic technologies. He actively contributes to academic discourse through conference organization, including I-Know 2009, and maintains engagement with practical applications through press contributions such as 'Bibliotheksgespräche - Future Internet und die Bibliotheskwelt'.

Georgios Meditskosمشاهده پروفایل

استادیار

• Symbolic Artificial Intelligence
• Semantic Web
• Knowledge Representation and Reasoning
• +۵ مورد دیگر

Georgios Meditskos is an Assistant Professor at the Department of Informatics, Aristotle University of Thessaloniki , where he has worked since 2021. Previously, he was a postdoctoral researcher at the Information Technologies Institute (ITI), CERTH (2012–2021) and a lecturer at multiple Greek institutions. Education: PhD (2009), MSc (2007), and BSc (2004) in Informatics from Aristotle University of Thessaloniki. His research focuses on Symbolic AI and Semantic Web technologies, including: Knowledge representation and reasoning (RDF/OWL, rule-based ontology reasoning) Combination of Description Logic and rule paradigms for scalable reasoning Semantic Web services (discovery, composition) Context-based multi-sensor reasoning and data fusion in pervasive environments His publications (over 100) span topics like: Rule-based OWL reasoning systems (e.g., O-DEVICE, DLEJena) Semantic data fusion for healthcare monitoring Hybrid frameworks combining ontologies with production rules Contact details: Office: New Building of School of Sciences, Office 4.18, Aristotle University of Thessaloniki Email: gmeditsk@csd.auth.gr Phone: +30 2310998896

Halil Kilicogluمشاهده پروفایل

دانشیار

• Biomedical Informatics
• Natural Language Processing
• Computational Semantics
• +۴ مورد دیگر

Halil Kilicoglu is an Associate Professor at the School of Information Sciences (iSchool), University of Illinois at Urbana-Champaign. He holds affiliate appointments at the National Center for Supercomputing Applications , Division of Nutritional Sciences , Personalized Nutrition Initiative , and Center for Health Informatics . His research bridges Natural Language Processing , Biomedical Informatics , and Scientific Reproducibility . Education: PhD in Computer Science (2012), Concordia University Previous Role: Staff Scientist, U.S. National Library of Medicine (NIH) Research Focus: Kilicoglu develops advanced NLP and machine learning techniques to extract and organize knowledge from biomedical texts. His work enhances clinical trial transparency , drug repurposing , literature-based discovery , and scientific communication . Current projects include automated assessment of randomized controlled trials and knowledge graph construction for biomedical domains. Recent Article Trends: His publications emphasize transformer models , retrieval-augmented generation , and multi-label classification applied to citation integrity , diet-microbiome associations , and clinical trial reporting . Scientific Awards: TrustNLP 2023 Best Paper SemEval 2021 Best System Paper IMIA Yearbook Best Paper (2020, 2017) AMIA Distinguished Paper (2016, 2007) Students: Mentors PhD candidates in information science and informatics , including Janina Sarol, Lan Jiang, Mengfei Lan, Shufan Ming, Gibong Hong, Evan Guerra, and Joe Menke. Labs & Teams: Leads a lab at the iSchool focused on biomedical text mining , collaborating with institutions like NIH and SpringerNature. Projects include SemRep extension , MENAGERIE tool , and COMBINI initiative .

Otthein Herzogمشاهده پروفایل

استاد پژوهشی

• Artificial Intelligence
• Multi-Agent Systems
• Wearable Computing
• +۵ مورد دیگر

Prof. Dr. Otthein Herzog is a Research Professor at Universitaet Bremen (since 2009), Affiliate Research Professor at George Mason University (1998–2024), and Professor of Artificial Intelligence at Tongji University (2015– ). He leads the Artificial Intelligence Research Group and contributes to interdisciplinary clusters including LogDynamics Research Cluster for Dynamics in Logistics International Graduate School for Dynamics in Logistics CIUC - China Intelligent Urbanization Co-Creation Center His research focuses on Multi-agent systems for autonomous processes Knowledge acquisition with LLMs Mobile/wearable computing for logistics and AAL Image/video analysis for content-driven archiving Integration of deep learning with digital twins Urban planning with small language models Recent work explores sociotechnical modeling of cities through digital twins and AI-driven logistics. Scientific honors include 2024 Chinese Government Friendship Award Magnolia Silver Award (2021) Honorary Professor at Tongji University (2021) Fellow of acatech, GI, and CAE Key projects: EU WearIT@Work (2004–2009) DFG CRC on Autonomous Logistics (2004–2015) MTRC Mobile Technologies Research Center (2004–2010) He serves on boards of UNESCO IKCEST, Shanghai Research Institute for Intelligent Autonomous Systems, and Fraunhofer FIT.

• Cognitive Science
• Human-Computer Interaction
• Game Design
• +۷ مورد دیگر

Niklas Torstensson is a Senior Lecturer in Cognitive Science at the Department of Information Technology, School of Informatics, University of Skövde. His research focuses on interaction and communication patterns between humans and between humans and technology. He maintains active membership in the GAME Research Group and iLab (Interaction Lab), contributing to interdisciplinary work at the intersection of cognitive science, game design, and human-computer interaction. His primary research interests include cognitive aspects of human-computer interaction, game-based interventions for education and safety, computational linguistics, and applied linguistics. Torstensson has developed significant expertise in designing games to increase children's awareness of online risks, particularly related to sexual grooming. His work bridges theoretical cognitive science with practical applications for child protection in digital environments. Analyzing his publication history reveals a clear trajectory from foundational linguistic research in the early 2000s toward increasingly applied game-based interventions for child safety. His recent work demonstrates sophisticated integration of cognitive science principles with game design to address serious societal issues, particularly online safety for children. The KidCOG project represents the culmination of this evolution, combining his expertise in linguistics, cognition, and game design to create educational interventions. Torstensson serves as course coordinator for multiple bachelor's level courses and leads the KidCOG research project, which secured 3 million SEK in funding from the Sten A Olsson Foundation. This project investigates sexual grooming processes and children's social media usage to develop preventive strategies through computer games. His grant acquisition demonstrates both the significance of his research focus and his ability to secure substantial external funding. Within the GAME Research Group and iLab (Interaction Lab), Torstensson contributes to collaborative projects examining how digital technologies shape human interaction and cognition. His work with these research groups emphasizes practical applications of cognitive science principles, particularly in developing interventions that protect vulnerable populations while maintaining engaging user experiences.

Olga Nádvorníkováمشاهده پروفایل

مدرس

• Corpus Linguistics
• Contrastive Linguistics
• Translation Studies
• +۶ مورد دیگر

Olga Nádvorníková is a lecturer and researcher at Charles University in Prague, specializing in corpus-based contrastive linguistics and translation studies. She serves as the coordinator of the French section of the multilingual corpus InterCorp, which has been annotated using Universal Dependencies. Her research focuses on non-finite verb forms (e.g., converbs) across Czech, French, English, and Polish, analyzing how structural language differences affect syntactic complexity and sentence segmentation in translation. She also explores stylistic traditions in literary texts, such as lexical variability in verbs introducing direct speech. Recent seminars: Co-verbs in French, Polish, and Czech (May 2024) Sentence segmentation changes in translations (May 2024) Spatial semantics via multilingual corpora (May 2024) Contrastive syntactic complexity analysis (May 2024)

Tilia Ellendorffمشاهده پروفایل

پژوهشگر

• Natural Language Processing
• Biomedical Informatics
• Text Mining
• +۳ مورد دیگر

Tilia Ellendorff is a researcher at the University of Zurich , affiliated with the Department of Computational Linguistics under the Faculty of Arts and Social Sciences . She contributes to the Text Crunching Center (TCC) by developing solutions for text analytics, information extraction, and natural language processing . Her work bridges computational methods with biomedical and health-related domains, as evidenced by her involvement in the Digital Society Initiative (DSI) Community Health. Fields of Interest: Natural Language Processing, Biomedical Informatics, Text Mining, Information Extraction, Computational Linguistics, Machine Learning Her research focuses on creating annotated corpora, optimizing language models for clinical and biomedical texts, and advancing text mining tools for tasks like entity recognition and causal network extraction. She has contributed to collaborative initiatives such as BioCreative V and SMM4H, emphasizing hybrid approaches and multi-task learning. Contact: ellendorff@cl.uzh.ch

Alistair Baronمشاهده پروفایل

مدرس ارشد

• Natural Language Processing
• Cyber Security
• Data Science
• +۳ مورد دیگر

Dr Alistair Baron is a Senior Lecturer at Lancaster University's School of Computing and Communications, with dual expertise in Natural Language Processing (NLP) and Cyber Security. He applies computational linguistics to counter online deception, focusing on fake profiles, social engineering, and forensic applications. His work bridges linguistic analysis with security solutions, including multi-lingual text processing, spelling variation normalisation, and crisis management decision-support systems. Ph.D. Computer Science (Lancaster University, UK) B.Sc. (Hons) Computer Science (Lancaster University, UK) Research interests span robust NLP tool development for cyber-security, with emphasis on: Deception detection in digital personas Spelling variation in historical and online texts Machine learning for forensic investigations Semantic tagging using historical thesauri GIS-Integrated textual analysis Online child protection systems His recent publications demonstrate interdisciplinary focus, combining NLP with security applications (2016-2023). Key projects include insider threat detection, semantic annotation of historical texts, and penetration testing standardisation research. Awards include the Faculty of Science and Technology Research Fellowship and FHEA teaching accreditation.