جستجوی استاد راهنمای دانشگاهی

Mark Liberman is a Trustee Professor at the University of Pennsylvania , holding appointments in the Department of Linguistics and Department of Computer and Information Science . He serves as Director of the Linguistic Data Consortium and Faculty Director of Ware College House . His career spans linguistics, speech technology, and computational methods. Education: Harvard University (1965-1969), MIT (M.S. 1972, Ph.D. 1975) Professional Experience: AT&T Bell Laboratories (1975-1990), University of Pennsylvania (1990-present) His research interests include: Corpus-based Phonetics : Analyzing speech patterns via large-scale datasets. Clinical Applications : Developing speech biomarkers for neurodegenerative diseases. Tonal Phonology : Studying lexical tone and intonation in languages like Yoruba and Mandarin. Formal Annotation Models : Creating frameworks for linguistic data standardization. Recent publications highlight automated speech analysis, cross-linguistic prosody, and digital biomarkers for conditions like ALS-FTD and Alzheimer’s. His collaborations span computational linguistics , neurology , and cognitive science . Scientific awards include the IEEE James L. Flanagan Award (2017), Antonio Zampolli Prize (2010), and fellowships from the AAAS and Linguistic Society of America . He advises PhD students May Chan and Jonathan Him Nok Lee and contributes to editorial boards for journals like Cognition and Annual Review of Linguistics . His work bridges speech science , language technology , and neurocognitive research .

• Corpus-based Phonetics
• Speech and Language Technology
• Clinical Applications of Linguistics
• +۶ مورد دیگر

Tom McEnaney is an Associate Professor of Comparative Literature and Spanish & Portuguese at the University of California, Berkeley, and Director of the Berkeley Center for New Media (BCNM). He holds a joint appointment in the Department of Spanish & Portuguese and serves on the Executive Board of UC Cuba. He is affiliated with the Center for Cultural Analytics, the Program in Critical Theory, the Center for Science, Technology, Medicine and Society, and the Data Science Lab (D-Lab). His research focuses on the history of media and technology, Argentine, Cuban, and U.S. literature, sound studies, linguistic anthropology, computational humanities, and new media studies. His book Acoustic Properties: Radio, Narrative, and the New Neighborhood of the Americas (2017) explores the interplay of radio and narrative in Argentina, Cuba, and the U.S., analyzing populism, state socialism, and the reimagining of the vox populi through listening practices. McEnaney’s work has appeared in journals such as diacritics , PMLA , and Representations , and media outlets like The New York Times and Public Books . He is a Mellon New Directions Fellow (2020–2023) in cultural analytics and leads a project on tape technology’s impact on testimonial writing, rock nacional, electronic music, and audiobooks in the Americas. Previously an Assistant Professor at Cornell University, he founded the Latin American Journals Project, an online archive of digitized literary journals from Latin America and the Hispanophone Caribbean. His current affiliations emphasize interdisciplinary collaboration and expanding access to cultural archives globally.

• History of Media and Technology
• Argentine Literature
• Cuban Literature
• +۶ مورد دیگر

Ryan Heuser is an Assistant Professor in Digital Humanities at the University of Cambridge, specializing in computational approaches to literary and intellectual history, prosody, and artificial intelligence's impact on language. His work bridges data science, machine learning, and literary studies through digital methodologies. Doctoral training in Eighteenth-Century British Literature, Stanford University (2019) Founding member & Associate Research Director, Stanford Literary Lab Junior Research Fellow, King’s College Cambridge (2019-2022) Research interests span computational modeling of semantic revolutions, large-scale literary field analysis, and the intersection of digital methods with historical and intellectual studies. His book Explorations in the Digital History of Ideas (2023) co-edited with Peter de Bolla exemplifies this approach. Recent publications focus on historical semantics, metrical analysis, and digital mapping of emotions in literature, reflecting his interdisciplinary expertise in natural language processing, network theory, and literary data visualization. Currently leads teaching initiatives at Cambridge Digital Humanities and contributes to computational projects exploring textual rhythms and large language models.

• Digital Humanities
• Computational Prosody
• Literary and Intellectual History
• +۵ مورد دیگر

Nicholas Evans is a Distinguished Professor in the Department of Linguistics at the School of Culture, History & Language, Australian National University. He is an ARC Laureate Fellow and serves as Director of the ARC Centre of Excellence for the Dynamics of Language (CoEDL), reflecting his leadership in integrating typology, descriptive linguistics, and cognitive science. His work spans linguistic diversity, endangered languages, and the interplay between language and culture. His research focuses on Australian and Papuan languages, with extensive fieldwork in remote communities. Key interests include linguistic typology, historical and contact linguistics, semantics, and the cognitive underpinnings of grammar. He has published foundational grammars and dictionaries of Kayardild, Bininj Gun-wok, and Dalabon, contributing significantly to the documentation of endangered languages. His recent publications reveal a strong trend in cross-linguistic studies of social cognition (SCOPIC), syntactic typology, and phylogenetic modeling of the Yam languages. These works integrate linguistic, cognitive, and genetic data, highlighting interdisciplinary approaches to understanding language evolution and human diversity. ARC Laureate Fellow Fellow of the Australian Academy of the Humanities (FAHA) Fellow of the Academy of the Social Sciences in Australia (FASSA) Fellow of the British Academy (FBA) Evans supervises research students and leads major projects such as 'The Wellsprings of Linguistic Diversity' and CoEDL, which involve extensive collaboration across institutions and disciplines. His grants include modeling Pacific creoles and phonemic analysis of Tok Pisin. He is also involved in digital archiving initiatives like PARADISEC and the Language Data Commons of Australia, ensuring long-term preservation of linguistic data. He leads and contributes to research teams focused on Southern New Guinea languages, paradigm syncretisms (PARABANK), and cultural heritage preservation. His work emphasizes reciprocal engagement with speech communities and training the next generation of language documenters.

• Linguistic Typology
• Historical Linguistics
• Contact Linguistics
• +۱۲ مورد دیگر

Felicity Meakins is a Professor of Linguistics at the University of Queensland, affiliated with the School of Languages and Cultures. She specializes in documenting First Nations languages in northern Australia, focusing on language contact processes, revitalization, and the impact of English on Indigenous languages. Her work bridges academic research and community engagement, including consulting on Native Title claims and language revitalization programs. Education: She studied at the University of Queensland between 1995–2001, completing her PhD in 2008. Prior to her academic career, she worked as a community linguist with Diwurruwurru-jaru Aboriginal Corporation (2001–2004) and as a PhD researcher with the Aboriginal Child Language Project (2004–2008). Research Interests: Meakins explores language contact, mixed languages, and Indigenous knowledge systems. Her projects include the 'Dingo Lingo' study tracing canine terminology across Australia and co-authored works like Tamarra: A Story of Termites on Gurindji Country (2023) and Understanding Linguistic Fieldwork (2018). She has compiled dictionaries and grammars for languages such as Gurindji, Bilinarra, and Mudburra. Grants & Recognition: Recipient of the Eureka Award (2021), LSA’s Hale Award (2021), and a Fellow of FASSA/FAHA. She led the UQ node of the ARC Centre of Excellence for the Dynamics of Language (2022). Labs/Teams: Collaborates with the Language Data Commons of Australia (LDaCA) and Indigenous communities in Northern Territory projects like the Wave Hill Walk-Off documentation.

• Linguistics
• Language Documentation
• Language Revitalization
• +۵ مورد دیگر

James A. Robinson is a University Professor at the University of Chicago with joint appointments in the Harris School of Public Policy and Department of Political Science. An economist and political scientist, he conducts influential research on political and economic development, examining how political power, institutions, and prosperity interact through both quantitative economic modeling and qualitative fieldwork methodologies. Robinson's research focuses on institutional analysis and political economy, with deep regional expertise in sub-Saharan Africa and Latin America. He has conducted extensive fieldwork across Bolivia, Colombia, Haiti, Democratic Republic of Congo, Nigeria, Sierra Leone, South Africa, and Zimbabwe, investigating how historical institutions shape contemporary economic outcomes. His interdisciplinary approach integrates economic theory with anthropological and historical case studies to explain patterns of economic divergence and political stability. Recent publications (2023-2025) reveal persistent themes in institutional persistence, state-society dynamics, and the cultural foundations of development. His work increasingly examines the interaction of economic and political inequality, the role of non-institutional factors in leadership strategies, and the historical roots of peripheral development trajectories across diverse global contexts. Scientific recognition includes: 2024 Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel Fellow, Institute of African Studies at the University of Nigeria, Nsukka Robinson co-authored three seminal books with Daron Acemoglu: Economic Origins of Dictatorship and Democracy (theoretical foundations of regime stability), Why Nations Fail (translated into 41 languages, arguing inclusive institutions drive prosperity), and The Narrow Corridor (analyzing state-society struggles for liberty). He maintained a 28-year summer school at Colombia's University of the Andes (1994-2022) and continues active research collaborations across Africa and Latin America.

• Political Economy
• Economic Development
• Institutional Analysis
• +۳ مورد دیگر

Matthew Louis Mauriello is an Assistant Professor in the Department of Computer and Information Sciences at the University of Delaware , where he directs the Sensify Lab . He holds a PhD in Computer Science from the University of Maryland (2018) and completed postdoctoral work at Stanford University (School of Medicine, 2020; School of Public Policy & Environmental Engineering Department, 2019). Research interests span Human-Computer Interaction (HCI), Ubiquitous Computing, and User-Centered Design with applications in: Sustainability Human-Building Interaction Wearable Technology Personal Informatics Educational Game Design Mental Health Interventions Recent publications highlight trends in stress monitoring (skin-like biosensors, workplace wellbeing), energy auditing (thermography systems), and educational technology (block-based programming tools for teachers). His work appears in ACM CHI, ACM Human-Computer Interaction, and Building and Environment. Scientific awards include: Best Paper Honorable Mention, CHI 2016 Best Paper Honorable Mention, CHI 2015 Best of WebSci'18 Teaching at University of Delaware encompasses courses like Educational Game Design Operating Systems Advanced Web Technologies Computing for Social Good with a focus on project-based learning and systems thinking.

• Human-Computer Interaction
• Ubiquitous Computing
• Sustainability
• +۷ مورد دیگر

Nicholas Evans is Distinguished Professor of Linguistics and Director of the ARC Centre of Excellence for the Dynamics of Language (CoEDL) at the Australian National University’s School of Culture, History & Language. His work bridges fieldwork-based language documentation with theoretical questions in typology, cultural evolution, and social cognition. Focus on endangered Australian and Papuan languages Director of ARC Laureate Project on 'The Wellsprings of Linguistic Diversity' Co-leader of SCOPIC (Social Cognition Parallax Corpus) study Collaborator in global linguistic diversity initiatives His research explores how micro-level community multilingualism shapes macro-level linguistic diversity, with fieldwork spanning seven years in remote Indigenous communities. Recent projects include PARABANK (paradigm syncretism analysis) and Southern New Guinea language studies, particularly Nen and Yam family languages. Scientific recognition includes the Ken Hale Award (Linguistic Society of America), Anneliese Maier Forschungspreis, and fellowships in the Australian Academy of Humanities, Australian Social Sciences Academy, and the British Academy.

• Endangered Languages
• Linguistic Typology
• Historical and Contact Linguistics
• +۵ مورد دیگر

Dr. Corey T. Callaghan is an Assistant Professor in the Department of Wildlife Ecology and Conservation at the University of Florida . Based at the Fort Lauderdale Research and Education Center , his research focuses on global change ecology using big data from citizen science platforms like eBird and iNaturalist, combined with geospatial analyses and macroecological theory . Ph.D. (2019) from UNSW Sydney M.S. (2015) from Florida Atlantic University B.S. + B.S. (2013) from Canisius College His work examines urban ecology , including how species traits influence urban tolerance across birds, amphibians, and butterflies. He develops adaptive sampling frameworks to optimize citizen science data collection while addressing biases. Current projects analyze human-nature interactions through citizen science participation, secondary data in photographs, and machine learning for biodiversity monitoring. He actively contributes to conservation strategies for urban biodiversity and data-driven restoration efforts . Recent publications highlight his expertise in cross-taxa comparisons , continental-scale analyses , and ecosystem service quantification . He leads the Global Ecology Research Group at the University of Florida, emphasizing collaborative science and open-source methodologies .

• Urban Ecology
• Citizen Science
• Biodiversity Data Science
• +۳ مورد دیگر

Yarin Gal is an Associate Professor of Machine Learning at the University of Oxford's Department of Computer Science and a Tutorial Fellow at Christ Church College. He is also a Turing AI Fellow at the Alan Turing Institute and Director of Research at the UK Government’s AI Safety Institute. He leads the Oxford Applied and Theoretical Machine Learning (OATML) Research Group, focusing on Bayesian deep learning, AI safety, and uncertainty quantification. Education PhD in Uncertainty in Deep Learning (2016) Research Interests His research integrates Bayesian methods with deep learning to address challenges in AI safety , uncertainty quantification , and robustness . Key areas include: Bayesian neural networks and approximate inference Uncertainty estimation in deep learning AI safety and interpretability Applications in autonomous driving, medical imaging, and NLP Publications & Trends His recent work spans Bayesian optimization , adversarial robustness , and continual learning . Notable contributions include Targeted Dropout for model pruning, Uncertainty in Autonomous Driving , and theoretical studies on adversarial examples in Bayesian networks. Awards & Honors Turing AI Fellow Teaching & Supervision He has taught Advanced Machine Learning , Uncertainty in Deep Learning , and contributed to NASA's Frontier Development Lab. His current students include Kelsey Doerksen, Gunshi Gupta, and Shreshth Malik. Labs & Teams He leads the OATML Group , a multidisciplinary team advancing theoretical and applied machine learning, with a focus on safety and interpretability in AI systems.

• Bayesian Deep Learning
• Machine Learning
• AI Safety
• +۴ مورد دیگر

Dawn Song is a Professor in the Department of Electrical Engineering and Computer Science at the University of California, Berkeley, affiliated with multiple research centers including the Berkeley Artificial Intelligence Research Lab (BAIR) and the Berkeley Center for Responsible, Decentralized Intelligence (RDI). She holds leadership roles in AI safety, cybersecurity, and blockchain research. Her work bridges machine learning, security, and distributed systems, with notable contributions to formal verification, privacy-preserving technologies, and AI governance. Education: Ph.D. (2002) and M.S. (1999) in Computer Science from UC Berkeley and Carnegie Mellon University, respectively. She previously served as an Assistant Professor at Carnegie Mellon University before joining UC Berkeley in 2007. Research Interests: Dawn's work focuses on AI safety, cybersecurity, and the ethical implications of frontier AI. She explores topics such as large language model vulnerabilities, zero-knowledge proofs, blockchain security, and policy frameworks for AI governance. Her research combines theoretical rigor with practical applications, addressing challenges in secure systems, adversarial machine learning, and privacy-preserving computation. Publications: Her recent work includes groundbreaking studies on LLM memorization, smart contract decompilation, and AI agent cybersecurity evaluation. She also leads initiatives like the Singapore Consensus and California Report on AI safety priorities, emphasizing global collaboration in risk mitigation. Notable Awards: MacArthur Fellowship (2010), ACM Fellow (2019), IEEE Fellow (2019) Advising & Grants: She advises projects on AI policy and cybersecurity, securing grants from NSF, DARPA, and industry collaborations. Her lab develops tools like CyberGym for evaluating AI agents and zkPyTorch for secure machine learning. Labs & Teams: Her research groups at UC Berkeley focus on cutting-edge projects in AI safety, blockchain, and cybersecurity, collaborating with industry leaders and policymakers to advance both technical and ethical standards.

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

Wei Xu is an Associate Professor at Georgia Institute of Technology's College of Computing and School of Interactive Computing, with affiliations to the Machine Learning Center. Their research bridges machine learning, natural language processing, and social media with focus areas in large language models, cultural bias mitigation, multilingual capabilities, and human-AI collaboration in text evaluation. NSF CAREER and Google Academic Research Award recipient Director of NLP X Lab PhD from New York University, BSMS from Tsinghua University Research interests span: Multilingual Multicultural LLMs addressing representational gaps and cultural adaptation in language models (NAACL 2025, ACL 2024); Robustness and Reasoning through dynamic AGI evaluations (ACL 2024, EMNLP 2024); Interdisciplinary NLP applications in security, healthcare, and law (EMNLP 2024, ACL 2024). Recent publications focus on multilingual alignment (NAACL 2025), privacy risk estimation (arXiv 2025), cultural bias analysis (ACL 2024), and medical text simplification (EMNLP 2024). Key themes include bias mitigation, multimodal processing, and practical LLM evaluation. Scientific Awards : NSF CAREER, Google/Sony/Criteo research awards, ACL'24 Best Social Impact Award, COLING'18 Best Paper Advising 15 PhD/MS/BSMS students including Yao Dou (human-centered LLM evaluation), Tarek Naous (multilingual LLMs), and alumni like Chao Jiang (Apple AI/ML) and Yang Chen (NVIDIA research scientist). Teaches graduate courses on NLP and LLMs.

• Large Language Models
• Natural Language Processing
• Machine Learning
• +۶ مورد دیگر

John F. Beacom is a Distinguished Professor of Physics and Astronomy at The Ohio State University and Director of the Center for Cosmology and AstroParticle Physics (CCAPP). His academic roles include leadership in astroparticle physics research and education. He holds joint appointments in both the Department of Physics and the Department of Astronomy within the College of Arts and Sciences. Beacom earned his Ph.D. in Physics from the University of Wisconsin (1997) and dual B.S. degrees in Physics and Mathematics from the University of Kansas (1991). He has held postdoctoral positions at Fermilab and Caltech before joining Ohio State in 2004. His research focuses on neutrinos, dark matter, and multi-messenger astrophysics, with emphasis on neutrino detection techniques, supernova physics, and cosmological implications. He leads major projects like the All-Sky Automated Survey for Supernovae (ASAS-SN) and contributes to the Deep Underground Neutrino Experiment (DUNE). Awards: APS Fellow (2014), NSF CAREER Award (2005–2010), multiple teaching awards for distinguished instruction. Grants: Extensive funding from NSF, DOE, and collaborative international initiatives. Labs/Teams: CCAPP, DUNE Collaboration, ASAS-SN project. His articles span neutrino physics, detector development, and observational astrophysics, reflecting interdisciplinary expertise in theoretical and experimental particle astrophysics.

• Neutrinos
• Dark Matter
• High-Energy Astrophysics
• +۵ مورد دیگر

Professor Michael Ben-Gad is a Professor of Economics at City, University of London, where he has served since 2009. He previously held roles as Head of the Department of Economics (2010–2013) and Deputy Head (2008–2010). His research focuses on dynamic macroeconomics, taxation, public debt, immigration economics, and national security, with notable contributions to endogenous growth models and compositional data econometrics. He holds a PhD from the University of Chicago (1996) and has taught at institutions including the University of Houston and University of Haifa. Ben-Gad served on the U.S. National Academy of Sciences panel on immigration's economic and fiscal impacts (2014–2016) and received a 2017 Fellowship from the Royal Society of Arts (FRSA). His work spans academic journals (Economic Modelling, Journal of Economic Dynamics and Control) and media outlets (BBC, CNBC, Al Jazeera), addressing topics like Brexit economics, fiscal policy, and geopolitical challenges. He co-convenes the City Branch of Academics for Academic Freedom and is a founding member of London Universities' Council for Academic Freedom. His research grants include funding from HM Treasury/ESRC on fiscal policy and immigration (2011), the Israel Science Foundation (2007–2008), and the Samuel Ne'eman Foundation (2004). Professional roles include editorial board membership for Economic Affairs and membership of the ESRC Grant Assessment Panel (2021). He is proficient in Hebrew and contributes to policy debates on taxation, macroprudential frameworks, and defense economics.

• Macroeconomics
• Public Finance
• Economics of Immigration
• +۳ مورد دیگر

Antoine Bosselut is a Tenure Track Assistant Professor at École Polytechnique Fédérale de Lausanne (EPFL) in the School of Computer and Communication Sciences, where he leads the EPFL NLP group. His research focuses on developing AI reasoning agents that can model, represent, and reason about human and world knowledge, with applications in health, education, and global fairness. His research interests span multiple critical areas in modern AI: LLM Representations of Knowledge: Understanding what language models know and how they represent that knowledge internally Reasoning Algorithms: Developing methods to improve LLMs' reasoning capabilities through symbolic systems, neuroscience, and cognitive science Large-scale AI Development: Creating open-source foundation models with multilingual capabilities AI Democratization: Ensuring equitable access to AI technologies across different cultural and regulatory contexts His recent publications reveal a strong focus on the intersection of language models and cognitive science, with multiple studies examining how LLMs align with human cognition. He's also deeply engaged in practical applications of NLP technology, particularly in education and multilingual settings, as evidenced by his work on evaluating AI's impact on higher education and developing culturally-aware language models. His scientific achievements have been recognized with several prestigious awards: Outstanding Paper Award at NAACL 2025 ELLIS Scholar designation in 2024 Outstanding Paper Award at ACL 2023 Inclusion in Forbes 30 Under 30 list for Science & Healthcare in 2021 Bosselut actively mentors numerous PhD students across diverse NLP research areas and has secured significant recognition for his work in both academic and media circles. His lab has been featured in major publications including Communications of the ACM, The Atlantic, and Quanta Magazine, highlighting the societal impact of his research on commonsense reasoning and AI capabilities.

• Natural Language Processing
• Artificial Intelligence
• Machine Learning
• +۵ مورد دیگر