جست‌وجوی استاد و پژوهشگر

Walid Magdyمشاهده پروفایل

استاد

• Computational Social Science
• Natural Language Processing
• Social Content Analysis
• +۸ مورد دیگر

Walid Magdy is a Professor at the School of Informatics, The University of Edinburgh, where he is a faculty member at the Institute for Language, Cognition and Computation (ILCC). He holds a PhD from Dublin City University's School of Computing and has been a faculty fellow at The Alan Turing Institute. With substantial industry experience, he has worked for Qatar Computing Research Institute (QCRI), Microsoft, and IBM, where he filed nine patents. His research spans computational social science and natural language processing. In computational social science, he focuses on social content analysis, political bias detection, polarization, and users' behavior analysis/prediction, with particular attention to understudied communities. His natural language processing work centers on social applications including sentiment analysis, sarcasm detection, and hate-speech identification, with specialized expertise in Arabic and its dialects as well as Persian. Professor Magdy's recent publications demonstrate a consistent focus on Arabic language processing and social media analysis, with growing attention to cultural factors in NLP systems. His work bridges computational methods with social science questions, particularly regarding misinformation, cultural differences in online behavior, and the impact of platform policies on diverse linguistic communities. He has expanded his research to include Persian language processing and continues to explore social dynamics across different cultural contexts. His significant contributions have been recognized with multiple awards: Best Demo Award for TwiXplorer at CSCW 2024 Outstanding Paper Award at ACL 2024 Best Paper Award Runner-up at SocInfo 2022 Best Paper Award at WANLP-EMNLP 2022 Best Paper Award at AIRS 2015 Best Dataset Award at ICWSM 2013 Professor Magdy serves as an editor for Springer's Social Network Analysis and Mining journal and has held leadership roles in major conferences including ACL 2023, ArabicNLP 2023, ICWSM 2022, and ASONAM 2022. He has co-organized numerous shared tasks focused on Arabic language processing and social media analysis, contributing significantly to community resources and benchmarks. He founded and directs the Social Media Analysis and Support for Humanity (SMASH) research group at the University of Edinburgh, which has organized the Summer School in Computational Social Science (SICSS-Edinburgh) in 2022, 2023, and 2025, training researchers in computational social science methodologies.

• German Linguistics
• Syntax
• Formal Grammar
• +۳ مورد دیگر

Prof. Stefan Müller is a Professor at the Institute for German Language and Linguistics , part of the Faculty of Languages and Literature at Humboldt University. His research focuses on syntax, formal grammar theories (especially Head-Driven Phrase Structure Grammar), and computational linguistics. He leads the CoreGram Project , developing cross-linguistic grammars using HPSG formalisms. His work includes analyses of German syntax, constituent order, anaphoric binding, and register phenomena. He is also involved in open-access publishing initiatives through Language Science Press . Contact: St.Mueller@hu-berlin.de . Education and academic background details are not explicitly stated in the provided text, but his professional trajectory indicates deep expertise in theoretical linguistics. His research spans multiple languages including German, Mandarin, and Persian, with a focus on grammar implementation and syntax-semantics interfaces. Key contributions include the Head-Driven Phrase Structure Grammar Handbook (2024), analyses of headless nominal structures in German (2022), and exploration of large language models' theoretical implications (2024). He actively engages in interdisciplinary projects bridging formal grammar and computational methods.

• Video Game Localisation
• Audiovisual Translation
• Language Learning
• +۳ مورد دیگر

Miguel Ángel Bernal Merino serves as a Part-Time Lecturer in the Department of Modern Philology, Translation and Interpretation at the University of Las Palmas de Gran Canaria. Concurrently, he acts as convener of the MA in Translation at the University of Roehampton in London, managing its Specialised Translation, Audiovisual Translation, and Intercultural Communication pathways since 2005. His academic profile bridges theoretical research and industry application in localization disciplines. PhD in The Localisation of Video Games, Imperial College London MSc in The Localisation of Multimedia Interactive Entertainment Software, Imperial College London Certificate in Software Localisation, University of Limerick CELTA, University of Cambridge MPhil in Lip-Synched Dubbing, Universidad de Alicante MA in Hispanic Literature, University of Rhode Island BA in English & Spanish Linguistics, Universidad de Alicante Bernal Merino's research pioneers the expansion of Translation Studies into interactive media domains. His work on video game localization examines interactivity, cultural adaptation, glocalisation, and playability, while his audiovisual translation research investigates creativity in lip-synched dubbing, subtitling, and audiodescription. He extends these frameworks into gaming-based language learning through haptic environments and multisensory reinforcement, exploring physiological aspects of multilingual cognition and polysemiotic neural networks. This multidisciplinary approach fundamentally challenges traditional boundaries in translation theory. His publication trajectory reveals evolving industry-academia integration, shifting from foundational game localization frameworks (2008-2015) toward user-centered research and educational applications (2018-2024). Recent work emphasizes measurable business impacts through quality localization, regional market adaptations, and crowd-sourced methodologies, demonstrating consistent influence on professional standards across gaming and translation sectors. Fellow of the Higher Education Academy Bernal Merino supervises doctoral research on mobile game localization, transmedia fan experiences, and historical game content translation while developing industry-academia pipelines through projects like AHRC's Media Across Borders. His funded initiatives—including Maximising ROI through Quality Game Localisation and Video Games for Language Learning—bridge theoretical innovation with commercial implementation, focusing on glocalisation strategies, interactivity metrics, and playability optimization. These collaborations connect European universities, gaming studios, and localization service providers. As chair of the IGDA Localization SIG and member of GIR Discourse, Communication and Society, he directs international forums for game localization discourse. His work with Routes into Languages promotes audiovisual media in language education, while REF-readiness collaborations enhance research excellence across European institutions through his professional network spanning industry conferences like GDC Summit and Game Global.

• Computational Linguistics
• Natural Language Processing
• Multilingual Models
• +۷ مورد دیگر

Malvina Nissim is a leading researcher in computational linguistics and NLP at the University of Groningen's Department of Artificial Intelligence, with a focus on multilingual modeling, bias mitigation, and human evaluation frameworks. Key Contributions : Developed CALAMITA (Italian LLM benchmark), IT5 models for Italian language processing, and ReproHum framework for NLP evaluation reproducibility Research Pillars : Multilingual reasoning consistency, perspective-based text analysis, and figurative language modeling Her work spans activation steering techniques, cross-lingual transfer learning, and the creation of specialized language resources like the EurekaRebus dataset and MAGPIE idiom corpus. She pioneered methods for gender bias measurement in BERT and developed the SocioFillmore tool for perspective visualization. Recent publications explore model uncertainty as MCQ difficulty proxy, Italian headline generation benchmarks, and multilingual multi-figurative language detection. She actively participates in teaching initiatives like the "NLP with Bracelets" workshop for Italian high school students. Scientific Awards : ACL Best Paper Award (2025) EMNLP Outstanding Reviewer (2023) EVALITA Leadership Recognition (2024) She advises PhD students in model bias analysis and has contributed to the development of the Dutch Abusive Language Corpus (DALC) and the ReproNLP reproducibility framework. Her collaborations span institutions in Italy, Netherlands, and international NLP communities.

Jean-François Godboutمشاهده پروفایل

استاد

• Data Science
• AI Safety
• Generative AI
• +۶ مورد دیگر

Jean-François Godbout is a Professor in the Department of Political Science at the Université de Montréal and an Associate Academic Member of Mila - the Quebec AI Institute. He directs the undergraduate program in Big Data Analytics in Social Sciences and Humanities at UdeM and conducts interdisciplinary research through the Complex Data Lab. Affiliated with IVADO (AI Consortium) Member of CÉRIUM (International Research Centre) and CECD (Democratic Citizenship Centre) His research focuses on: Data Science applications in political institutions AI Safety and generative AI's impact on political attitudes Misinformation Mitigation through large language models Comparative Political Development in Canadian and Lower Canada contexts Legislative Institutions and voting records analysis Political Polarization in online societies Recent publications analyze social media disinformation, AI persuasion on harmful topics, and education-focused text simplification. His articles frequently combine graph mining , machine learning , and political science methodologies. Scientific collaborations include: Mila researchers (Andreea Musulan, Maximilian Puelma Touzel) IVADO data science initiatives McGill University interdisciplinary projects He supervises students in: Political science (Julien Robin, Matthew Taylor) Artificial Intelligence (Kellin Pelrine, Camille Thibault) Computational social science applications

Elisa Pellegrinoمشاهده پروفایل

پژوهشگر ارشد

• Phonetics
• Computational Linguistics
• Prosody
• +۷ مورد دیگر

Dr. Elisa Pellegrino is a senior Post-Doc in Phonetics at the Department of Computational Linguistics , affiliated with Zeppelin University and the Digital Society Initiative of the University of Zurich . Her research focuses on voice individualization, vocal accommodation, and the role of speaker-specific information in speech temporal variability. Role: Senior Post-Doc in Phonetics University: Zeppelin University School: Faculty of Arts and Social Sciences Department: Department of Computational Linguistics Email: elisa.pellegrino@uzh.ch Research Interests: Prosody and speech rhythm in native and second language acquisition Vocal accommodation in cross-dialectal interactions Speaker individuality and forensic phonetics Age-related speech temporal variability Speech disorders and Parkinson’s disease Applications of speech technology in linguistics and education

Richard K. Larsonمشاهده پروفایل

استاد

• Formal Linguistics
• Syntax
• Semantics
• +۳ مورد دیگر

Richard K. Larson is a Distinguished Professor of Linguistics at Stony Brook University, specializing in syntax and semantics. He holds a Ph.D. from the University of Wisconsin-Madison (1983). His research focuses on syntactic structures, quantification, clausal complementation, and cross-linguistic phenomena in languages like Warlpiri, Japanese, Turkish, and Mandarin. He is recognized for pioneering the Grammar as Science Project , developing educational software Syntactica and Semantica , which earned him the 1998 EduCom Medal. Education: Ph.D. in Linguistics, University of Wisconsin-Madison, 1983 Research Interests: Larson’s work spans syntax-semantics interface, quantifier scope, NP adverbs, psych-verbs, and formal linguistic theory. He emphasizes scientific rigor in syntax, advocating for linguistics as an experimental science. Current projects include rethinking syntactic cartography and Ezafe constructions in Iranian languages. Awards: EduCom Medal (1998) MIT Graduate Council Teaching Award SUNY Chancellor’s Award for Excellence in Teaching Stony Brook Dean’s Award for Excellence in Graduate Teaching Advising & Grants: Larson has advised numerous graduate students and contributed to NSF-funded initiatives like the Accelerated College Education (ACE) program. His grants focus on computational linguistics tools and language education outreach. Key Contributions: Authored foundational textbooks including Grammar as Science (2010) and Knowledge of Meaning (1995). His work on AP-de adverbs in Mandarin and Ezafe construction has reshaped syntactic analysis. Active in promoting linguistics education at secondary/higher education levels through AP Linguistics initiatives.

Aria Adliمشاهده پروفایل

استاد

• Grammatical Variation
• Syntax
• Information Structure
• +۷ مورد دیگر

Aria Adli is a Professor of Romance Linguistics at the University of Cologne , where he founded and directs the Sociolinguistic Lab . He holds a tenured W3 professorship and previously held positions at Humboldt University Berlin, University of Strasbourg, and University of Freiburg. Education : Diplom in Psychology (University of Bonn, 1998) Double degree: Maitrise in Linguistics (Université de Toulouse II) and Licence in Psychology (1998) Habilitation (University of Freiburg, 2011) PhD in Romance Philology (University of Tübingen, summa cum laude, 2003) His research focuses on grammatical variation , examining syntax-information structure interfaces, social stratification (Bourdieu's lifestyle), and register effects. He uses cross-linguistic comparisons (French, Spanish, Catalan, Persian) and methods like corpus analysis, computer simulations, and fieldwork. Scientific Awards : Emmy-Noether Fellowship (DFG) DAAD grants for multilingualism research art, science & business-Stipendium (Akademie Schloss Solitude) Thyssen-Stiftung funding Grants & Projects : Principal investigator for SFB 1412 subproject 'Register: Language-Users' Knowledge of Situational-Functional Variation' DFG grant for 'Grammar-Usage Relationship in Spanish/Persian' Organized international workshops on sociolinguistics, register, and variation Academic Leadership : Head of the Sociolinguistic Lab Geschäftsführender Direktor of Fachgruppe 5 (Phil Fakultät UzK) Member of Excellence Cluster 'Choice in Expression' initiation group

Marco Magginiمشاهده پروفایل

استاد

• machine learning
• neural networks
• kernel machines
• +۶ مورد دیگر

Marco Maggini is a Full Professor in the Department of Information Engineering and Mathematics at the University of Siena, a position he has held since joining the university in 1996. His academic career spans over 25 years with foundational expertise in computer engineering and artificial intelligence, focusing on theoretical and applied machine learning research. His educational background includes: Laurea degree (cum laude) in Electronics Engineering from the University of Florence (1991) Ph.D. in Computer Engineering and Control Systems from the University of Florence (1995) Prof. Maggini's research encompasses machine learning, neural networks, kernel machines, and the integration of symbolic and sub-symbolic knowledge systems. He extends these foundations into practical applications including web mining, search engine technology, pattern recognition, natural language processing, and computer vision. This interdisciplinary approach bridges theoretical computer science with real-world implementation challenges across multiple domains. Analysis of his 15 most recent publications (2023-2025) reveals a dominant focus on multilingual NLP applications, particularly educational puzzle generation for low-resource languages (Italian, Arabic, Persian, Turkish) using LLMs. His work demonstrates consistent innovation in named entity recognition, commonsense reasoning evaluation, and cross-lingual adaptation techniques. Secondary research threads include medical imaging segmentation, molecular property prediction, and AI security vulnerabilities, reflecting his broad technical mastery across computer vision, bioinformatics, and adversarial machine learning. No specific scientific awards were mentioned in the provided documentation, though his editorial roles indicate peer recognition within the academic community. While student mentoring details are absent from the source material, his position as Full Professor and leadership of SAILab imply active graduate supervision. His extensive publication record (120+ papers) and editorial service suggest significant research grant involvement, though specific funding sources remain undocumented. He directs the Siena Artificial Intelligence Laboratory (SAILab), which serves as an interdisciplinary hub for advancing machine learning theory and applications. The lab's current projects emphasize educational technology, multilingual NLP systems, and the integration of symbolic reasoning with neural architectures, maintaining strong industry and international academic collaborations.

• Linguistics
• Cognitive Linguistics
• Corpus Linguistics
• +۵ مورد دیگر

Laura Alexis Janda is a Professor of Russian Linguistics at the UiT The Arctic University of Norway , where she has worked since 2008. She is a member of the CLEAR research group (Cognitive Linguistics: Empirical Approaches to Russian) and leads the THREAT-DEFUSER project funded by the Norwegian Research Council. Her academic profile spans Cognitive Linguistics , Construction Grammar , and Corpus Linguistics , with a focus on Russian, Slavic, and Sámi languages . Education: PhD in Slavic Linguistics & Certificate in Teaching ESL, UCLA (1984) Visiting Fellowships at Princeton University and UNC Chapel Hill Training in Persian, Czech, and Russian methodologies Research Interests: Janda’s work bridges constructional networks and grammatical profiling in Slavic languages, with emphasis on aspect , case semantics , numeral classifiers , and political discourse analysis . She explores how morphological units like Russian prefixes function as verb classifiers and investigates language change in Sámi and Russian contexts. Publication Trends: Recent articles analyze ChatGPT’s grammatical interpretation , constructicon architecture , and ideological messaging in Putin’s speeches . Her research integrates quantitative methods and FAIR data principles to address both theoretical and pedagogical challenges. Awards & Grants: 2021 Honorary Doctorate (University of Turku, Finland) 2018 Member of the Norwegian Academy of Science and Letters 2017 Open Data Champion (SPARC Europe) 2013-2015 Norwegian Research Council grant for 'Birds & Beasts: Shaping Events in Old Russian' 2007-2011 Norwegian Research Council grant for 'Exploring Emptiness: Russian Verbal Morphology and Cognitive Linguistics' Collaborative Networks: Janda mentors international researchers and collaborates with linguists in Russia, Norway, and the U.S. She co-developed the Russian Constructicon and Construxercise! pedagogical tool, emphasizing interdisciplinary applications of linguistic theory. Labs & Projects: She co-founded the Tromsø Construction Lab , advancing constructicon resources for Russian and Sámi languages. Her THREAT-DEFUSER project examines perceived threats in Russian and Norwegian political discourse.

• semantics
• pragmatics
• language acquisition
• +۳ مورد دیگر

Ayaka Sugawara serves as Associate Professor at Waseda University's Faculty of Science and Engineering, School of Creative Science and Engineering, with concurrent affiliation at the Global Education Center and Waseda Research Institute for Science and Engineering (2024-2026). Her academic journey includes positions at Mie University (2015-2019) and multiple research appointments. BA (2008) and MA (2010) from The University of Tokyo PhD in Linguistics (2016) from Massachusetts Institute of Technology Dr. Sugawara's research spans formal semantics, pragmatics, and language acquisition with specific focus on quantifier scope interpretation , focus particles , Japanese dialectology , and second language processing . Her experimental work combines cross-linguistic comparison (Japanese/English/German/Persian), neuroimaging techniques (MEG/EEG), and computational approaches to vocabulary assessment. Current investigations examine early English education's impact on first language acquisition and non-literal language processing. Her publication trends reveal consistent interdisciplinary work bridging theoretical linguistics with educational applications, particularly in automated language assessment tools and experimental validation of semantic theories across developmental stages. Recent work demonstrates increasing collaboration with computational linguists and educational technologists. Dr. Sugawara actively contributes to the academic community through: Standing Committee membership in The Linguistics Society of Japan (2021-present) Professional affiliations with Linguistic Society of America and The Japanese Society for Language Studies Her research projects include multiple Japan Society for the Promotion of Science grants examining: Early English education effects on L1 acquisition (2021-2024) Question-under-Discussion mechanisms in ambiguous sentences (2019-2021) Cross-linguistic 'only' comprehension studies (2016-2018) Current internal projects investigate non-literal language processing and pragmatics in L1/L2 acquisition contexts.

• Edge Computing
• Cloud Computing
• Artificial Intelligence
• +۷ مورد دیگر

Hadi Tabatabaee is an Assistant Professor at the School of Computer Science, University College Dublin (UCD), leading the Sustainable Orchestration in Computing Continuum (SOC² Lab). His research focuses on sustainable orchestration of services across edge-cloud environments, emphasizing energy efficiency, carbon-aware systems, and AI-driven applications like large language models (LLMs). Key roles include Associate Editor for IEEE Access and Management Committee member of COST Action CA22151 (CYPHER). He holds a PhD in Computer Engineering from the University of Isfahan and has held academic positions at Maynooth University, Shahid Beheshti University, and Trinity College Dublin's CONNECT research program. Education: PhD (Computer Engineering, University of Isfahan), MSc (Computer Engineering), with a research visit at TU Delft (2010-2011). Certifications include Epigeum's Research Leadership and Research Integrity courses. Languages: Persian (fluent), Azerbaijani (spoken). Research Interests: Edge-cloud continuum, dynamic service placement, distributed AI workloads, LLM optimization, and sustainable resource management. Recent work includes zero-trust vehicular networks, parallel algorithms for recommender systems, and geospatial event processing. Awards: None explicitly listed, though his contributions include over 20 journal articles in IEEE/Elsevier/Springer venues. Professional Activities: IEEE Senior Member, TPC member for IEEE conferences, and reviewer for multiple journals. Teaching: Coordinates/teaches Cloud Computing, Computer Networks, and Principles of Computer Organization at UCD.

Yvan Roseمشاهده پروفایل

استاد

• Phonology
• Language Acquisition
• Child Language Development
• +۳ مورد دیگر

Yvan Rose is a Professor at Memorial University of Newfoundland, specializing in phonology and language acquisition. His research focuses on how humans organize sound systems, acquire phonology in first/second languages, and produce speech sounds. He received the Petro Canada Young Innovator Award (2006-2008) and leads the PhonBank project under CHILDES, developing the open-source Phon software for phonological data analysis. Education: M.A. from Université Laval (Québec) and Ph.D. from McGill University (Montréal). Teaching interests include phonology, language acquisition, and experimental phonetics. Research emphasizes empirical and multidisciplinary approaches, integrating linguistics, psychology, and computer science. Key contributions include: PhonBank: A cross-linguistic phonological development database Phon software for corpus analysis and treatment target selection Studies on speech rehabilitation in cochlear implant users Investigations into loanword phonology and bilingual acquisition His work bridges theoretical phonology with practical applications in speech-language pathology and computational tools for linguistic research.

Abied Alsulaimanمشاهده پروفایل

دانشیار

• Translation Studies
• Translation Technology
• Legal Translation
• +۵ مورد دیگر

Abied Alsulaiman is an Associate Professor at KU Leuven 's Faculty of Arts , specializing in Arabic Studies . He co-founded the Arabic Translators International (ATI) and co-edits its publication series. His teaching focuses on history of Arabic culture, legal translation, business translation, and interpreting. Research Interests : Translation studies, legal terminology (Arab states, Belgium, Netherlands), Arabic linguistics, Islamic studies, Judeo-Arabic literature, and Semitic languages. Projects : Functional equivalence in legal terminology, translation's role in Saudi students' historical awareness, OCR solutions for Arabic/Persian scripts, and diplomatic terms in Saudi Arabia. Publications : Recent works include co-edited handbooks on terminology, legal translation analysis of the US Constitution, and studies on Qur'anic lexicography and Islamic traditions.

Ruhul Aminمشاهده پروفایل

استادیار

• Artificial Intelligence
• Bioinformatics
• Data Science
• +۵ مورد دیگر

Ruhul Amin is an Assistant Professor at Fordham University's Department of Computer and Information Science, where he explores the intersection of Artificial Intelligence , Data Science , and Public Health . His work spans multiple domains including Bioinformatics , Natural Language Processing , and Computational Social Science . PhD in Computer Science (Stony Brook University, 2019) MS in Computer Science (Stony Brook University, 2015) BSc in Computer Science (Shahjalal University, 2007) His research focuses on developing deep learning algorithms for genome annotation, anomaly detection in high-cardinality spaces, and assistive technologies for visually impaired users. Notably, he designed the Mongol Dip bilingual screen reading software and the Pipilika Bengali text search engine. Recent publications (2025-2024) demonstrate his expanding interests in large language model alignment , sentiment analysis across languages, and distributed reinforcement learning for cybersecurity applications. His work frequently appears at IEEE conferences and in journals like PLOS One. Scientific Recognition BASIS National ICT Award (Bangladesh) Best Poster Awards at IEEE R10 HTC and CEWIT conferences Bangladesh Prime Minister’s Award (2012) mBillionth South Asia Award (2010) He maintains active collaborations with research teams at University of Toronto , University of British Columbia , and Stony Brook University . Contact: moamin@cs.stonybrook.edu