جست‌وجوی استاد و پژوهشگر

• Natural Language Processing
• Machine Learning
• Deep Learning
• +۵ مورد دیگر

Derry Wijaya is an Associate Professor in the Data Science program at Monash University, Indonesia, specializing in natural language processing with a focus on multilingual applications, machine translation, and large language models. Her research bridges computational linguistics with social applications, examining how language technologies can address challenges in low-resource language settings. Her research interests center on natural language processing, with particular expertise in machine learning applications for multilingual contexts. Wijaya investigates how well-annotated languages can improve translation of less-documented languages, and explores the use of images, related tasks, data augmentation, and large language models to enhance representation and translation for languages with limited training data. Her work demonstrates strong interdisciplinary connections between technical NLP research and real-world social applications. Analysis of her recent publications (2023-2025) reveals a research trajectory that spans core NLP methodologies while increasingly incorporating social media analysis, policy applications, and cross-cultural communication challenges. Her work shows particular strength in addressing low-resource language challenges while maintaining relevance to Indonesian and global contexts, with notable publications examining climate change perception among Indonesian youth and comparative water quality issues between Indonesia and the United States. Wijaya maintains active research collaborations across multiple institutions, with numerous co-authored publications addressing diverse applications of NLP from public health communication to political discourse analysis. Her research demonstrates consistent productivity, with significant output in top computational linguistics venues.

Laurence Likforman-Sulemمشاهده پروفایل

دانشیار

• Document Analysis
• Handwriting Recognition
• Historical Document Processing
• +۷ مورد دیگر

Laurence Likforman-Sulem is an Associate Professor at Institut Polytechnique de Paris , affiliated with the Signal, Statistics and Learning (S2A) team in the Image, Data, Signal (IDS) department . She has been at Télécom Paris since 1991, where she teaches Pattern Recognition , Signal Processing , and Document Analysis . PhD from ENST-Paris (1989) HDR from Sorbonne University (2008) Her research integrates Markovian methods (HMMs, Bayesian Networks) and deep learning (BLSTMs, CNNs) for: Handwriting recognition in historical documents Character analysis in Byzantine seals Parkinson’s disease detection through multimodal signals Biometric authentication using hand shape Recent work focuses on Byzantine seal character recognition (BHAi project) and multimodal group cohesion analysis (IEEE ICMI 2021 Best Paper). She has supervised 10 PhD students and numerous Master internships. Scientific Awards Winning system at ICDAR 05 Arabic Hand-Written Word Recognition Competition Fondation Telecom Thesis Award 2014 (2nd prize for Olivier Morillot) Best Paper Award, ICMI 2021 Active in conference leadership, she chaired ICDAR 2015 and ICPR 2022 document analysis tracks. Her 15 most recent publications span Byzantine document analysis, Parkinson’s detection, and low-energy neural architectures.

Mahsa Yarmohammadiمشاهده پروفایل

پژوهشگر

• Natural Language Processing
• Deep Learning
• Automatic Speech Recognition
• +۴ مورد دیگر

Mahsa Yarmohammadi is an Assistant Research Scientist at the Center for Language and Speech Processing (CLSP), where she leads research in cross-lingual language and speech applications. Her work focuses on deep learning techniques for multilingual data representation, automatic speech recognition (ASR), and speech translation. She develops novel algorithms for ASR decoders and explores interfaces between ASR and machine translation systems. Education: PhD in Computer Science and Engineering, Oregon Health & Science University (2016) Master’s in Computer (Software) Engineering, Shahid Beheshti University, Iran (2007) Undergraduate degree in Computer (Software) Engineering, Amirkabir University of Technology (Tehran Polytechnic) (2004) Research Interests: Her expertise spans Natural Language Processing (syntactic/semantic parsing, information extraction), multilingual systems, deep learning, and ASR. She specializes in resource transfer across languages, neural lattice embeddings, and end-to-end system integration for speech and language technologies. Publication Trends: Recent articles (2019–2025) emphasize multilingual challenges: cross-lingual retrieval, contextual ASR, coreference resolution in dialogue, and zero-shot information extraction. Her work frequently addresses low-resource settings, neural algorithm design, and real-world dataset creation (e.g., earnings call analysis, COVID-19 QA pairs). Grants & Teams: As a prime researcher in multi-site programs, she collaborates on large-scale multilingual projects. She was mentored by Benjamin Van Durme (Johns Hopkins CS) and Sanjeev Khudanpur (Johns Hopkins ECE) during her CLSP post-doctoral fellowship (2021).

Julian A. Levinsonمشاهده پروفایل

استاد

• American Jewish Studies
• Jewish American Literature
• Modern Yiddish Culture
• +۷ مورد دیگر

Julian A. Levinson is the Samuel Shetzer Professor of American Jewish Studies and Professor of English Language & Literature at the University of Michigan, where he also serves as Associate Director of the Frankel Center for Judaic Studies. His academic appointments bridge the Department of English Language & Literature and the Judaic Studies program, reflecting his interdisciplinary scholarly focus. Levinson's research spans multiple interconnected fields including American Jewish literary culture, Modern Yiddish Studies, Holocaust cinema, Jazz and Literature, and the Bible as Literature. His work explores how Jewishness intersects with broader American cultural and religious traditions, particularly examining the literary expressions of Jewish identity within the American context. He investigates how Jewish writers have negotiated their place within American literary culture while maintaining distinctive cultural traditions, with special attention to Yiddish literary modernism and its American manifestations. His publications reveal a consistent interest in the intersections of Jewish identity with American religious thought, literary modernism, and cultural representation. Levinson's scholarship often examines how Jewish writers and intellectuals have engaged with American Protestant traditions, biblical interpretation, and the construction of Jewish identity in America. His work on Yiddish literature in America, Holocaust representation in film, and Jewish storytelling traditions demonstrates his commitment to understanding Jewish cultural production within broader American frameworks. Levinson's scholarly contributions have been recognized with a National Jewish Book Award for his work Exiles on Main Street: Jewish American Writers and American Literary Culture . As Associate Director of the Frankel Center for Judaic Studies, Levinson plays an active role in shaping Jewish studies programming at the University of Michigan. His current research explores the place of Jewishness in the nineteenth-century American religious imaginary, continuing his longstanding investigation of the complex relationship between Jewish identity and American cultural formation.

• Burn Surgery
• Trauma Surgery
• Critical Care
• +۴ مورد دیگر

Callie M. Thompson, MD, is a Clinical Associate Professor in the Department of Surgery at the University of Utah School of Medicine , specializing in burn and trauma surgery. Her clinical expertise includes burn care, surgical critical care, and wound healing, with a focus on patient-centered outcomes research and telemedicine . Education: B.S. in Neurobiology (University of Washington), M.D. (Meharry Medical College), Residency (University of Washington), Fellowships in Burn/Trauma (University of Washington) and T-32 Research (Harborview Medical Center). Dr. Thompson leads research integrating burn patients as equitable partners in clinical studies, particularly through the Burn Survivor-Centered Outcomes Research (BSCOR) Collaborative . Her work spans burn epidemiology , telemedicine applications , and antibiotic efficacy in appendicitis via participation in the CODA Collaborative. Recent publications analyze community distress and return-to-work outcomes , thrombosis risk in burn patients , and health disparities in appendicitis trials . She contributes to burn registry standards and risk-adjusted mortality benchmarking, emphasizing data-driven quality improvement. Scientific Awards: Fellow of the American College of Surgeons (FACS) Dr. Thompson collaborates with national burn and trauma registries to refine care delivery and advocates for stakeholder-driven research agendas. Her interdisciplinary work bridges clinical practice, outcomes research, and health equity initiatives.

• Image Processing
• Machine Learning
• Artificial Intelligence
• +۷ مورد دیگر

Dilip K. Prasad is a Professor at the Department of Informatics, UiT The Arctic University of Norway. His work bridges Artificial Intelligence and Medical Imaging , with a focus on Interpretable AI , Scalable AI , and Life Science Applications . He has contributed to Maritime Technology and Biomedical Engineering . Ph.D. and B.Tech from Nanyang Technological University and IIT Dhanbad Senior Research Fellow at NTU (2015-2019), Research Fellow at NUS (2012-2015) Industry experience at IBM, Infosys, Mediatek, Philips His research explores Image Processing , Machine Learning , and AI Applications in Biomedicine . Recent work includes Dense Video Captioning , 3D Mitochondrial Modeling , and Physics-Guided Loss Functions . Articles span Neurocomputing , Optics Express , and top AI conferences like CVPR and NeurIPS . Prasad has received the Rolls-Royce Inventor Award (2016) and Best Paper Award (IJCIE 2017) . He has reviewed for 50+ journals and 30+ conferences, serving as Area Chair for NeurIPS 2022-23 and Organizer Chair for ICCV Workshop 2023 .

Stewart McCauleyمشاهده پروفایل

استادیار

• Language Development
• Cognitive Mechanisms
• Speech-Language Pathology
• +۳ مورد دیگر

Stewart McCauley, PhD, is an Assistant Professor in the Department of Speech and Hearing Science at the University of Iowa. His research focuses on cognitive mechanisms underlying language development, particularly how variability in these mechanisms influences outcomes in typically developing individuals and those with developmental language disorders. He employs methodologies including computational modeling, behavioral measures, and electroencephalography (EEG). He teaches courses such as CSD 3116 (Neuroscience of Speech and Hearing), CSD 4145 (Developmental Language Disorders), and CSD 1015 (Introduction to Speech and Hearing Sciences and Disorders). His research interests span language development, statistical learning, computational modeling, and neurocognitive aspects of language processing. Recent work explores multiword units’ impact on syntactic errors in children, cross-linguistic models of child language, and individual differences in statistical learning. McCauley actively seeks PhD students for collaborative research projects. His articles frequently investigate language learning mechanisms, emphasizing computational approaches and cross-linguistic perspectives. He is affiliated with the University of Iowa’s Wendell Johnson Speech and Hearing Center and maintains an active Google Scholar profile.

Aaron Veenstraمشاهده پروفایل

دانشیار

• Political Communication
• Media Effects
• Online Communities
• +۴ مورد دیگر

Aaron Veenstra is an Associate Professor in the School of Communication & Multimedia Studies at Florida Atlantic University (FAU), where he teaches courses such as Political Communication and Mass Communication Theory. He holds a Ph.D. in Mass Communication from the University of Wisconsin-Madison and previously taught at Southern Illinois University Carbondale. His research focuses on how social and political identities shape media engagement, particularly in the digital age. He also integrates his background in web development to explore how digital environments influence information access and interpretation. Dr. Veenstra’s expertise spans political communication, media effects, online communities, and cognitive bias. His work examines topics like partisan media consumption, identity-driven media evaluation, and the role of social media in maintaining relationships among diaspora communities. He has published extensively on topics such as social identity theory, media framing, and the evolution of communication models. His recent articles highlight trends in AI’s impact on journalism education, the interplay of political identities in public policy debates, and the dynamics of social media discourse. While no scientific awards are explicitly mentioned, his contributions address contemporary challenges in digital communication and media literacy. He advises no listed students but maintains active involvement in graduate education through course instruction. Dr. Veenstra’s research often bridges theoretical frameworks with practical digital phenomena, emphasizing interdisciplinary approaches to communication studies. His work on Twitter’s role in political discourse and YouTube’s influence on partisan attitudes underscores his commitment to understanding evolving media landscapes.

Wen Liمشاهده پروفایل

استادیار

• Software Security
• Software Engineering
• Network Security

Wen Li is an Assistant Professor at the School of Computing , Utah State University. Their research focuses on software security , software engineering , and network security , with significant contributions to analyzing multilingual software systems. Recent work highlights include: Characterization of multilingual software and language selection patterns Security analysis of cross-language interactions and runtime vulnerabilities Development of fuzzing frameworks like Pyrtfuzz and POLYFUZZ Investigation of dynamic information flow and memory management in complex systems Research trends demonstrate expertise in software testing, language interoperability, and security verification across programming environments.

• Political Science
• Global Governance
• Democracy
• +۷ مورد دیگر

Luis Cabrera is a Professor of Political Science at Griffith University’s School of Government and International Relations. He has been a member of the Griffith Asia Institute since 2015 and the Centre for Governance and Public Policy from 2015 to 2024. His research focuses on democracy, human rights, and global citizenship, blending normative political theory with empirical practices. Cabrera has authored three books, including the monograph The Humble Cosmopolitan: Rights, Diversity and Trans-State Democracy (Oxford University Press, 2020), and over 40 journal articles and book chapters. His research interests emphasize cosmopolitanism, global justice, and institutional designs for trans-state democracy. He critically examines challenges such as Globoskepticism and explores topics like emotions in political theory, moral psychology, and anti-poverty frameworks. Cabrera teaches International Relations and career pathways in Political Science and International Relations, and he actively supervises PhD candidates in normative political theory and global governance. Recent publications include studies on democratic language barriers, public opinion toward UN reforms, and comparative regional citizenship models (e.g., ASEAN). His work highlights the intersection of theory and practice in global institutional frameworks and ethical citizenship. He has no listed scientific awards. His doctoral supervision includes current roles as Associate Supervisor for a project on Sartrean freedom and Principal Supervisor for research on Turkey’s democratic erosion, as well as the completed supervision of Nadia Farabi’s work on peacebuilding and heresy claims in Indonesia. He is affiliated with interdisciplinary research centers focusing on Asian studies and governance, reflecting his scholarly engagement with global and regional political dynamics.

Anna Rogersمشاهده پروفایل

دانشیار

• Natural Language Processing
• Artificial Intelligence
• Machine Learning
• +۴ مورد دیگر

Anna Rogers is an Associate Professor of Data Science at the IT-University of Copenhagen , affiliated with the NLPnorth research group. Her work focuses on Natural Language Processing (NLP) , Artificial Intelligence , and Large Language Models (LLMs) , with a particular emphasis on ethical data use, peer review innovation, and transformer model analysis. She leads projects addressing AI transparency, medical QA hallucinations, and generative AI applications. Her research explores topics including: LLM behavior and evaluation Data governance in NLP Peer review systems optimization Transformer model robustness Medical AI applications Key Projects : PlagAIrism : Tracking LLM training data origins Pioneer Centre for AI : Pre-registered replication studies TinyGPT : Efficient NLP models AIInterviewer : Large-scale qualitative data collection Publications span ACL , EMNLP , and specialized NLP workshops, addressing topics from BERT analysis to AI content farms.

János Győriمشاهده پروفایل

استاد

• Intercultural Education
• Shadow Education Systems
• International Student Motivation
• +۳ مورد دیگر

János Győri is a Professor at the Institute of Intercultural Psychology and Education at Eötvös Loránd University in Budapest. His roles include serving as a lecturer in the Relation between Shadow and Public Education Research Group and as an Alternate Member of the Credit Transfer Committee. He specializes in intercultural education systems, shadow education dynamics, and international comparative studies in teacher education and language learning motivation. His research spans multiple countries including Japan, Singapore, the Czech Republic, and Myanmar, with a focus on educational policies and student motivation across different cultural contexts. Dr. Győri’s work emphasizes cross-cultural pedagogical comparisons, particularly analyzing how informal educational structures (shadow education) influence formal schooling systems. He has conducted extensive studies on international students' language learning motivations, teacher identity formation, and gifted education programs across global contexts. His research bridges educational theory and practice, often employing both quantitative and qualitative methods to explore complex educational phenomena. Notable themes in his publications include examining motivational frameworks for language acquisition among international populations, analyzing systemic differences in teacher education between nations, and evaluating the societal impacts of supplementary educational systems. His recent work highlights emerging trends in global talent development strategies and the evolving role of non-formal educational interventions. While no specific awards are listed, his prolific publication record indicates sustained academic contribution to educational sciences. His advisory activities and committee roles reflect engagement with institutional educational reforms and cross-border educational collaborations.

• Multimodal Deep Learning
• Clinical Machine Learning
• Natural Language Processing
• +۳ مورد دیگر

Dr. Ruchit Agrawal is an Assistant Professor of Computer Science and Head of Computer Science Outreach at the University of Birmingham Dubai. Previously, he served as a Postdoctoral Researcher in AI for Healthcare at the University of Oxford’s Computational Health Informatics Lab, and as a Marie Curie AI Researcher in the transnational MIP-Frontiers project at Queen Mary University of London. His work focuses on optimizing healthcare systems using Machine Learning, alongside contributions to Natural Language Processing, Audio Signal Processing, and Multimodal Deep Learning. He holds a PhD in Computer Science from Queen Mary University of London and an MS by Research from IIIT Hyderabad. Education: PhD in Computer Science (Queen Mary University of London, 2021) MS by Research in Machine Translation (IIIT Hyderabad, 2017) Research Interests: Clinical Machine Learning for healthcare system optimization Natural Language Processing with a focus on Indian languages and context-aware models Audio Signal Processing for music performance analysis and stuttering detection Development of multimodal deep learning frameworks for diverse applications Adaptive AI systems leveraging contextual and positional encoding techniques Publications highlight trends in healthcare AI, multilingual NLP, and audio-visual alignment. Recent work includes Arabic sentiment analysis, stuttering detection via MMSD-Net, and stock price prediction using FB-GAN. Earlier contributions address structure-aware synchronization in music performance data and transformer-based post-editing for low-resource languages. His research bridges theoretical advancements with practical implementations in clinical, financial, and cross-modal domains. Scientific awards include the prestigious Marie Skłodowska-Curie scholarship (2017–2020) supporting his deep learning research in audio signal processing. Advising and grants: While no formal advisees are listed, his roles involve leading outreach initiatives and guiding collaborative projects at the Computational Health Informatics Lab during his postdoctoral tenure. Labs/Teams: Active member of the Computational Health Informatics Lab (Oxford) and Machine Translation group at FBK (Italy). His work also intersects with the MIP-Frontiers transnational research project.

• Digital Libraries
• Text Mining
• Cross-Language Retrieval
• +۳ مورد دیگر

Prof. Franciska de Jong is a Full Professor of e-Research for the Humanities at Utrecht University's Department of Languages, Literature and Communication, part of the Faculty of Humanities. She previously served as Executive Director of CLARIN ERIC (2015-2022), the European research infrastructure for language resources, and now acts as a Senior Advisor there. Her research focuses on digital libraries, text mining, cross-language retrieval, and cultural heritage preservation. She holds a PhD in theoretical linguistics and has extensive industry experience at Philips Research (1985-1992). She has held leadership roles in national organizations including the Netherlands Organization for Scientific Research (NWO) and the National Library of the Netherlands (KB), and currently chairs the NWO Advisory Committee for Digitalization Research. She is leading the Horizon Europe project EOSC Focus, addressing sustainability of the European Open Science Cloud. Her work spans interdisciplinary collaboration, policy development, and infrastructure governance in digital humanities and computational social sciences. Education: Dutch Language & Literature (Utrecht University), PhD in Theoretical Linguistics. Key Roles: Board member of Netherlands eScience Center (2014–2023), Chair of Lorentz Center's Computational Science Advisory Board (2016–2021), Steering Board member of Open Science-NL (2023–present). Activities: Organized CLARIN Annual Conferences (2016–2019), Digital Humanities conferences, and workshops on parliamentary data analysis.

• Psycholinguistics
• Language Production
• Bilingualism
• +۳ مورد دیگر

Eduardo Navarrete Sanchez is an Associate Professor at the University of Padua, Italy. His research focuses on understanding how language and cognition interact, particularly in areas such as psycholinguistics, bilingualism, and language production. His work integrates experimental psychology, neurolinguistics, and cognitive neuroscience to explore topics like foreign language effects on social judgment, the neural basis of bilingualism, and the role of language in attention and decision-making. Key research interests include: Psycholinguistics Cognitive Science Bilingualism and Multilingualism Neurological Language Disorders Social and Cognitive Effects of Language His recent publications (2023–2025) highlight trends in examining language-accent credibility effects, cross-linguistic decision-making, and neurobiological underpinnings of bilingual language control. He has contributed to advancements in understanding how sociolinguistic factors influence perception and behavior, including studies on foreign language effects on social norms and deception detection mechanisms. Eduardo’s work bridges theoretical models of speech production with clinical applications, such as developing neuropsychological assessment tools for acquired brain injuries. His research often employs methods like pupillometry, electrophysiological recordings, and neuroimaging to study language processing dynamics.