جستجوی استاد راهنمای دانشگاهی

Cristian Danescu-Niculescu-Mizilمشاهده پروفایل

دانشیار

• Computational Social Science
• Data Science
• Natural Language Processing
• +۴ مورد دیگر

Cristian Danescu-Niculescu-Mizil is an Associate Professor at the Department of Information Science , Cornell University . His research focuses on computational frameworks for social behavior analysis through large-scale natural language data , particularly in online communities and crisis counseling contexts. Recipient of WWW Best Paper Award (2013) and Yahoo! Key Scientific Challenges Award Co-developer of ConvoKit , a comprehensive conversational analysis toolkit Principal investigator in NLP for mental health , antisocial behavior detection , and linguistic coordination studies His work spans computational social science and human-centered AI , with recent publications in EMNLP 2025 , ACL 2025 , and CSCW 2025 focusing on conversation dynamics modeling , pivotal moment detection , and talk-time equity analysis . He has advised multiple PhD students who became faculty at Harvey Mudd , University of Michigan , and Thompson Reuters . Key scientific contributions : 2013 : WWW Best Paper - Power dynamics through linguistic coordination 2016 : IJCAI NLP & Journalism Best Paper - Gender bias quantification 2017 : ICWSM Best Paper - Trolling behavior analysis He teaches NLP and Social Interaction (INFO/CS 6742) and Language and Information (INFO/CS 4300) , with teaching resources including the Politeness Web App and ConvoWizard interactive tool featured in NPR's Weekend Edition . His work has been covered by New Scientist , NBC Today Show , and New York Times .

Elizabeth Phelpsمشاهده پروفایل

استاد

• Human Neuroscience
• Learning and Memory
• Emotion
• +۳ مورد دیگر

Elizabeth Phelps is the Pershing Square Professor of Human Neuroscience in the Department of Psychology at Harvard University's Faculty of Arts and Sciences. She directs the Phelps Lab, which investigates how emotions influence learning, memory, and decision-making using multidisciplinary approaches including behavioral studies, neuroimaging (fMRI), physiological measurements, and computational modeling. The lab collaborates widely across psychology, neuroscience, economics, and clinical disciplines. Her research examines: Human neuroscience of affect and cognition interactions Emotional modulation of learning and memory systems Neural mechanisms of decision-making under uncertainty Impact of emotion on social cognition and behavior Translational applications for psychological disorders Contact information: Email: phelps@fas.harvard.edu Lab email: phelpslab@fas.harvard.edu Address: Northwest Lab Building, 52 Oxford Street, Cambridge, MA 02138 The lab welcomes study participants and research assistant applicants, emphasizing diversity and inclusion in research.

Martha Sidury Christiansenمشاهده پروفایل

استاد

• Sociolinguistics
• Digital Literacies
• Language Ideologies
• +۶ مورد دیگر

Dr. Martha Sidury Christiansen is a Professor of Applied Linguistics/TESOL at the University of Texas at San Antonio , where she serves in the College of Education and Human Development . She is the Principal Investigator of Project RESPETO , a NSF-funded initiative exploring racial equity in engineering education. Her work spans sociolinguistics, digital literacies, and raciolinguistic analysis, with a focus on transnational multilingual communities. Born in Veracruz, Mexico Ph.D. in Foreign/Second Language Education (Ohio State University, 2013) M.A. in English Composition (Indiana University, 2007) B.A. in English Language Teaching (Universidad Veracruzana, 2002) Her research examines how transnational youth navigate digital spaces through multiliteracies , challenges Western academic writing norms via Mexican decolonial methodologies , and investigates raciolinguistic intersections in identity formation. The 15 most recent publications reveal a strong focus on digital communication , transnationalism , and critical pedagogy across journals like TESOL Quarterly and Language@Internet . 2023-2025: Expanding raciolinguistic frameworks in digital contexts 2021-2022: Analyzing multimodal identity construction 2019-2020: Exploring Mexican bilinguals' online language use She has received multiple honors including ACUE Fellow (2023), Fulbright Scholar (2017), and Faculty Leadership Fellow (2021-2022). Her presentations at conferences like ICOLLITE and DDVM Lab highlight her expertise in critical sociolinguistic awareness and digital discourse analysis . Dr. Christiansen actively consults for nonprofits on linguistic equity and multilingual education .

Guofang Liمشاهده پروفایل

استاد

• Early bilingual development
• Family literacy
• Early literacy instruction
• +۲ مورد دیگر

Guofang Li is a Professor in the Department of Language and Literacy Education at the Faculty of Education, affiliated with the Centre for Early Childhood Education & Research (CECER). Her work centers on bilingual development and literacy education within multicultural contexts, particularly focusing on Chinese-Canadian communities. Her research interests include: Early bilingual development Family literacy practices Early literacy instruction methodologies Early education for minority learners Teacher education for multilingual classrooms Analysis of her 2021-2025 publications reveals a concentrated focus on Chinese-Canadian children's bilingual development, examining home literacy environments, digital technology impacts, and pandemic-related disruptions. She consistently advocates for equity-focused approaches in superdiverse educational settings, emphasizing translanguaging practices and critical perspectives on linguistic justice. Scientific Awards: No awards explicitly mentioned in source materials Advising and Grants: No specific student names or grant information provided in source materials Labs and Teams: Centre for Early Childhood Education & Research (CECER): An interdisciplinary hub facilitating collaborative research between academics, educators, and community partners focused on advancing evidence-based early childhood education practices through longitudinal studies and community-engaged projects.

Jay Pujaraمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Machine Learning
• Knowledge Graph Construction
• +۵ مورد دیگر

Dr. Jay Pujara is a Research Associate Professor of Computer Science at the University of Southern California (USC) and Director of the Center on Knowledge Graphs. He is also a Principal Scientist at the Information Sciences Institute (ISI) and leads research teams in data science and AI. Ph.D., University of Maryland, College Park (2016) M.S. and B.S. in Computer Science, Carnegie Mellon University Research Interests include artificial intelligence, probabilistic models, knowledge graph construction, statistical relational learning, NLP, and streaming inference. His work focuses on scalable algorithms for big data and uncertainty modeling in dynamic environments. Recent Publications highlight advancements in knowledge graphs, LLM reasoning, and table understanding. Notable topics include non-verbal abstract reasoning , faithful conversational datasets , and KGQA re-ranking . Scientific Awards : SWSA Ten-Year Award (2023), Outstanding Paper (IUI 2019), Top Reviewer (NeurIPS 2018), Best Paper (SRL Workshop 2016) Advising & Grants : Mentored 12+ graduate students, including Ph.D. advisees on topics like causal modeling and neuro-symbolic tasks. Secured NSF funding for table understanding in paleoclimate studies.

Callan Hummelمشاهده پروفایل

استادیار

• Comparative Politics
• Civil Society
• LGBTQ+ Policy
• +۷ مورد دیگر

Callan Hummel (they/them) is an Assistant Professor in the Department of Political Science at the University of British Columbia's Faculty of Arts. Their research focuses on why and how communities with little political power organize and negotiate with their governments, with particular expertise in comparative politics, civil society, LGBTQ+ policy, labor politics, health policy, and Latin American politics. Hummel earned their Ph.D. and M.A. from the University of Texas at Austin in 2017 and 2014, respectively, and completed their B.A. at the University of Washington in 2009. As a nonbinary researcher, they bring unique perspectives to their work examining political power dynamics and marginalized communities. Dr. Hummel is the author of Why Informal Workers Organize: Contentious Politics, Enforcement, and the State (Oxford University Press 2021), which won the 2023 Riker Prize for the Best Book in Political Economy. Their current research agenda examines the expansion of trans and nonbinary rights globally, using diverse methodologies including statistical analysis, ethnography, survey, computational, experimental, and formal modeling. They conduct field research with trans-led NGOs and street vendor unions in Miami, Florida, La Paz, Bolivia, and São Paulo, Brazil. Hummel's recent scholarly output demonstrates a strong focus on transgender rights, particularly in Latin American contexts, with several 2024-2025 publications examining gender-affirming policies in Bolivia and transgender experiences in Florida. Their work consistently bridges political science with public health concerns, particularly regarding the impacts of policy on marginalized communities. The research combines comparative analysis with deep ethnographic engagement, often focusing on how informal workers and transgender communities navigate state institutions. 2023 Riker Prize for Best Book in Political Economy Publications in Lancet Global Health , BMJ Global Health , British Journal of Political Science Research funded by NIH, NSF, Department of Education, and APSA Dr. Hummel actively supervises graduate students and has contributed to understanding harassment and satisfaction among political science graduate students. Their interdisciplinary approach connects political science with public health, gender studies, and economic sociology. They are available for collaborations through research clusters and grant opportunities at UBC.

James S. Kimمشاهده پروفایل

استاد

• Early Education
• Education Policy
• Evidence-Based Intervention
• +۷ مورد دیگر

James S. Kim is a Professor of Education at Harvard University's Graduate School of Education, where he conducts policy-relevant research focused on improving literacy outcomes for low-income students and struggling readers. With an Ed.D. from Harvard University (2002), he leads the READS Lab (Research Enhances Adaptations Designed for Scale in Literacy), a research team that partners with school districts to solve literacy challenges through evidence-based interventions. Dr. Kim's research centers on understanding how building students' domain knowledge and reading engagement can foster long-term improvements in reading comprehension. His work emphasizes experimental design and evidence-based interventions, with a particular focus on addressing educational inequality. His research interests include early education, education policy, evidence-based intervention, human development, inequality and education gaps, informal and out-of-school learning, language and literacy development, and teachers and teaching. Kim's most significant contribution is the Model of Reading Engagement (MORE), a spiraled and sustained content literacy intervention co-developed with schoolteachers that has been shown to improve first to third-grade students' reading comprehension in science, English language arts, and math. Notably, research on MORE meets WWC (What Works Clearinghouse) standards without reservation, and long-term follow-up suggests the intervention's impact persists through fourth grade. His publications reveal a consistent focus on content literacy, domain knowledge development, and transfer effects in reading comprehension. Research on MORE meets WWC standards without reservation Long-term effects of MORE persist through fourth grade Commitment to Open Science principles (open data, open materials, preregistration) As a servant leader, Kim builds long-term partnerships with school districts to implement literacy interventions at scale. His READS Lab promotes open science practices while developing practical solutions to literacy challenges. His research on summer reading interventions, parental text messaging, and classroom-based content literacy approaches demonstrates his commitment to translating research into practice. Kim's current work includes scaling the MORE intervention to improve reading comprehension for high-needs students in moderate to high poverty schools through a Department of Education-funded project (2024-2028).

Alison Louise Baileyمشاهده پروفایل

استاد

• Developmental Psycholinguistics
• Academic Language Pedagogy
• Educational Assessment
• +۷ مورد دیگر

Alison Louise Bailey is a Professor and Division Head in Human Development & Psychology at UCLA's Graduate School of Education and Information Studies. She specializes in developmental psycholinguistics, focusing on multilingual education, academic language pedagogy, and assessment practices for English learners. Education: Ed.D. and Ed.M. from Harvard University; B.A. (Hons) in Linguistics with a minor in American Literature from The University of Hull, England Her research explores language learning progressions, equity in educational assessment, and the intersection of language with STEM disciplines. She leads two U.S. Department of Education-funded ExcEL Peer Network projects and collaborates on NSF and W.T. Grant Foundation grants. Recent publications emphasize translanguaging, automated language assessment, and bias mitigation in educational technologies. Her work integrates Bayesian modeling for dual-language immersion outcomes and examines racial injustices in assessment systems. Awards: Bobbie and Mark Greenfield Distinguished Faculty Award, Haynes Foundation Faculty Fellow, Harold and Lois Haytin Award, Ann C. Rosenfield Distinguished Community Partnership Prize She contributes to national assessment policy as a NAEP Reading Standing Committee member and NCME Classroom Assessment Task Force Co-Chair, advocating for culturally responsive assessment frameworks.

Morgan G. Amesمشاهده پروفایل

استادیار مدعو

• Science and Technology Studies
• Anthropology
• Human-Computer Interaction
• +۵ مورد دیگر

Morgan G. Ames is an Assistant Adjunct Professor at the UC Berkeley School of Information and serves as Associate Director of Research for the Center for Science, Technology, Medicine & Society. She chairs the Designated Emphasis in Science and Technology Studies and is affiliated with multiple research centers including the Algorithmic Fairness and Opacity Working Group, the Center for Science, Technology, Society and Policy, and the Berkeley Institute of Data Science. Her educational background includes a Ph.D. in Communication with a minor in Anthropology from Stanford University (2013), an M.S. in Information Management and Systems from UC Berkeley (2006), and a B.A. in Computer Science from UC Berkeley (2004). Prior to her academic career, she worked as a researcher at Google, Yahoo!, Nokia, and Intel. Ames researches the ideological origins of inequality in the technology world, with a focus on utopianism, childhood, and learning. Her work critically examines how technology design practices shape identities and social structures. Current projects include 'Seeing Like a Valley: the Moral Visions of Silicon Valley,' 'Algorithms in Culture,' and 'Countercultures of Technology Use.' She has published extensively on One Laptop per Child, Minecraft, and the social implications of algorithmic systems. Her publication record shows a consistent focus on the cultural dimensions of technology, particularly examining how utopian visions shape technology design and implementation. Recent work increasingly addresses algorithmic systems and their cultural impacts, while maintaining her longstanding interest in educational technology and youth technology practices. Ames has received significant recognition for her scholarship, including: 2020 Best Information Science Book Award 2020 Sally Hacker Prize 2021 Computer History Museum Prize She advises students on interpretive research methods, particularly ethnography, and serves on doctoral committees though cannot be a primary advisor for PhD students. Her research has been supported by multiple interdisciplinary collaborations, including the 'Algorithms in Culture' conference series she co-organized through the Center for Science, Technology, Medicine & Society. Ames leads the 'Seeing Like a Valley' research collective that brings together scholars from across UC Berkeley and Silicon Valley to examine how the region's industrial practices shape moral visions that influence global technological development and social values.

Przemysław Kordosمشاهده پروفایل

استاد

• Modern Greek Literature
• Cypriot Culture
• Comparative Literature
• +۵ مورد دیگر

Przemysław Kordos is a Professor at the University of Warsaw , affiliated with the Faculty of Liberal Arts , where he serves as Coordinator for the Development of the Modern Greek Philology Program . He holds two PhDs in Humanities (2007, 2019) and was awarded the Loukis Papaphilippou Seat of Advancement in Modern Greek scholarship. Education: MA in Ethnology and Cultural Anthropology (University of Warsaw, 2001) MS in Sociology (University of Warsaw, 2002) PhD in Humanities (University of Warsaw, 2007) Second PhD in Humanities (University of Warsaw, 2019) His research interests span: Contemporary Modern Greek and Cypriot literature Polish-Greek cultural relations (philhellenism) Social and ethnographic issues in Greece and Cyprus Travel literature analysis Fantasy literature's cultural implications His scientific work reveals a focus on linguistic assimilation in foreign language learning (via fMRI studies), historical parallels between Polish and Greek independence movements, and critical analyses of Cypriot folk culture's politicization. Key scientific awards include: Loukis Papaphilippou Seat (University of Warsaw) Internships at EKPA and IKY (Greece) Scholarships at IMXA (Greece) and MUNI (Czech Republic) His academic contributions include cataloging 60+ Polish travel accounts to Greece, analyzing the shift from travel literature to tourism discourse, and examining the Hellene-Romios dichotomy's role in modern Greek identity construction.

Matthew Lee Smithمشاهده پروفایل

استاد

• Aging
• Health Behavior
• Chronic Disease Management
• +۶ مورد دیگر

Matthew Lee Smith is a Professor at the Texas A&M School of Public Health , part of Texas A&M University . He is a core faculty member of the Center for Community Health and Aging (CCHA) and the Center for Health Equity and Evaluation Research (CHEER) , and serves as the Director of the Texas Research, Analytics, Innovations, and Research Lab (TRAIL) . Education: Post-Doctoral Fellowship, Health Science Center, Texas A&M University (2010) PhD in Health Education, Texas A&M University (2008) MPH, Indiana University Bloomington (2004) BS in Public Health Education, Indiana University Bloomington (2002) Research Interests: Dr. Smith’s research focuses on aging , chronic disease management , and evidence-based public health interventions . He is particularly interested in health behavior change , health risk assessment , and survey research methodology . His translational work bridges research and practice across healthcare, aging services, and public health systems. He has a strong focus on social determinants of health , including social isolation , caregiving , diabetes self-management , and fall prevention among older adults. His work often targets underserved populations, particularly Black/African American men and rural communities . Scientific Awards: Immunization Neighborhood Champion Award (2024) Responsible Research in Management Award (2023) J. Mayhew Derryberry Award (2022) Consumer Education Program Award (Silver) (2022) Bluebonnet Award (2021) Innovators in Aging Award (2019) Redefining American Healthcare Award (2019) Community ConnecTivity Award (2019) Phillip G. Weiler Award for Leadership in Aging and Public Health (2018) Leadership & Mentorship: Dr. Smith holds leadership roles in several national and state-level initiatives. He is the Co-Director of the Advancing Gerontology through Exceptional Scholarship (AGES) Program and serves on the Steering Committees of the Texas Falls Prevention Coalition , Texas Alzheimer’s Research and Care Consortium , and Texas Social Isolation and Loneliness Coalition . He is also the Director of the Research Scholars & Mentorship Program (RSMP) at the American Academy of Health Behavior. Labs & Centers: He leads the Texas Research, Analytics, Innovations, and Research Lab (TRAIL) , which focuses on developing and evaluating community-based interventions. He is also affiliated with: Center for Community Health and Aging (CCHA) Center for Health Equity and Evaluation Research (CHEER)

• Multimodal Learning
• Multilingual NLP
• Vision-Language Models
• +۴ مورد دیگر

Desmond Elliott is an Associate Professor in the Natural Language Processing section at the Department of Computer Science, University of Copenhagen (UCPH). His research focuses on multimodal and multilingual models with specific emphasis on vision-language integration and tokenization-free NLP approaches. He teaches Bachelor and Master's level courses including Advanced Topics in Natural Language Processing (since 2019), Grundlæggende Data Science (since 2023), and previously Data Science (2021-2023). His research interests center on building and understanding multimodal and multilingual models , particularly exploring vision and language interactions through billion-parameter systems. Current work investigates cultural representation disparities in vision-language models, parameter-efficient captioning, and multimodal distributional semantics across diverse domains including food culture and medical imaging. His methodology emphasizes real-world applicability in non-English contexts and ethical considerations in multimodal systems. Elliott's recent publications (2025) demonstrate leadership in multimodal NLP, with significant contributions to vision-language pretraining, multilingual evaluation frameworks, and clinical NLP applications. His work spans theoretical advancements in model architectures and practical implementations addressing challenges in low-resource languages and domain adaptation. Best Long Paper Award at EMNLP 2021 Best Poster Award at COLING 2019 As an active educator, Elliott contributes to courses on Fair and Transparent Machine Learning and previously taught Information Retrieval. His research collaborations span international institutions with particular focus on European and non-English language contexts, reflecting UCPH's recognition as Europe's #1 institution for HCI research over the past decade.

• Administrative Law
• Constitutional Law
• Global Administrative Law
• +۴ مورد دیگر

Professor Ida Koivisto from the Faculty of Law at the University of Helsinki specializes in administrative law, constitutional law, and global administrative law. Her research focuses on transparency in digital governance, automated decision-making in public administration, and the intersection of law with digital technology. Key research themes: Digital transparency, legal automation, EU administrative law Active in multidisciplinary projects like DARE (Digital Administration Redesigned for Everyone) and AlgoT (Algorithmic Transparency) Recent publications explore ethical dimensions of AI in governance, legal personhood in digital systems, and paradoxes of transparency. Her work appears in journals like Artificial Intelligence, Humans and the Law and Critical Analysis of Law . International collaborations include academic visits to the University of Toronto, University of Hong Kong, and European University Institute. She contributes to policy through expert statements for Finland's Constitutional Law Committee and other public institutions.

C. Michael Sampsonمشاهده پروفایل

دانشیار

• Classical Philology
• Greek and Latin Literature
• Papyrology
• +۵ مورد دیگر

C. Michael Sampson is an Associate Professor in the Department of Classics at the Faculty of Arts , University of Manitoba . Holding a PhD in Classical Studies (2009) from the University of Michigan, an MA in Classics (2003) from Dalhousie University, and a BA (First Class Honours) in Classics and Early Modern Studies (2001) from the University of King's College, Sampson is a broadly trained philologist specializing in Greek and Latin literature with a focus on poetry, and a papyrologist working on fragmentary texts from Egypt. Research interests: Greek/Latin literature, papyrology, reception studies, Hellenistic literature Current project: The Books of Karanis (interdisciplinary study of Greek literary culture in Egypt) Awards: SSHRC Insight Grant (2021-2025), SSHRC Connections Grant (2020-2022), Community Engagement Award (2018) Editorial roles: Digital Corpus of Literary Papyri, Pylon: Editions and Studies of Ancient Texts Teaching: Courses on Ancient Greek culture, Roman comedy, Euripides, and Archaic poetry

• Computational Social Science
• Social Computing
• Human-Centered Machine Learning
• +۵ مورد دیگر

Dr. Koustuv Saha is an Assistant Professor of Computer Science at the University of Illinois Urbana-Champaign (UIUC), leading the OnCARE lab. He holds a PhD from Georgia Tech and a B.Tech from IIT Kharagpur. His research focuses on computational social science, social computing, and ethical AI applications in mental health and wellbeing. His work bridges computer science with psychology, sociology, and public policy to address societal challenges. Education: PhD in Computer Science (Georgia Tech, 2021), B.Tech in CSE (IIT Kharagpur, 2012). Previous roles include Senior Researcher at Microsoft Research Montreal (FATE group) and industry research experience in Silicon Valley. Research interests include wellbeing sensing technologies, algorithmic fairness, and large language models’ societal impacts. Recent work examines caregiver mental health, deceptive wellness apps, and AI ethics in content moderation. His studies combine causal inference, NLP, and multimodal data analysis. Publications span top venues like CHI, CSCW, ICWSM, and JMIR. Notable awards include Georgia Tech’s Outstanding Dissertation Award (2022) and Snap Research Fellowship (2020). He advises on AI governance and collaborates with policymakers, clinicians, and industry. OnCARE lab explores human-centered AI for societal good, with projects on mental health support systems, ethical tech design, and algorithmic transparency in health contexts. Current focus includes caregiver AI tools, LLM-based empathetic systems, and workplace wellbeing interventions.