جست‌وجوی استاد و پژوهشگر

Jung-ran Parkمشاهده پروفایل

دانشیار

• Library & Information Science
• Data Science
• Knowledge Organization
• +۴ مورد دیگر

Jung-ran Park is an Associate Professor in the Department of Information Science at Drexel University's College of Computing & Informatics. Her research focuses on knowledge organization systems, metadata standards, multilingual information access, and cross-cultural communication in digital environments. She holds a Ph.D. in Linguistics (University of Hawaii, 2003) and an MLIS (2000), along with prior degrees from institutions in South Korea. Her work bridges linguistics and information science, addressing challenges in semantic interoperability, metadata quality, and professional development for cataloging and metadata specialists. Notable projects include studies on BIBFRAME implementation, RDA adoption barriers, and automated metadata generation systems for digital repositories. Research trends in her publications emphasize: 1) Metadata standardization (e.g., BIBFRAME, Dublin Core) and their practical applications; 2) Cross-cultural communication dynamics in social media and virtual reference services; 3) Professional training needs for evolving library technologies. Though no formal awards are listed, her contributions to metadata education and digital library systems are significant. Her advising focuses on preparing professionals for evolving information organization challenges, reflected in collaborative projects like metadata harvesting tools and continuing education resource repositories. Labs/Teams: Involved in digital repository development initiatives, metadata workflow optimization studies, and cross-cultural communication analysis teams within the College of Computing & Informatics.

Xiwen Luمشاهده پروفایل

استادیار

• Teaching Chinese as a Second Language
• Learning Sciences and Technology
• Computer-Based Language Education
• +۳ مورد دیگر

Xiwen Lu is an Assistant Professor in Chinese at Brandeis University, serving as Director of the Chinese Language Program, Undergraduate Advising Head, Study Abroad Liaison, and Co-Director of the Master of Arts Program in Chinese Language and Culture (Language Track). She holds a Ph.D. (Candidate) in Learning Sciences and Technology from Worcester Polytechnic Institute, an MA from Beijing Language and Culture University, and a BA from PLA University of Foreign Languages. Her research focuses on Teaching Chinese as a Second Language (TCSSL) , with specialties in Learning Sciences and Technology , Computer-Based Language Education , and Secondary Chinese Curriculum Design . She has developed innovative online platforms and textbooks, including Journeys (启程) and a computer-based advanced intermediate Chinese course pack. Dr. Lu has received significant recognition, including the 2019–2020 Provost’s Teaching Innovation Grant and multiple teaching fellowships. She teaches a broad range of courses from foundational to advanced levels, emphasizing conversation, composition, pedagogy, and practicum in the Chinese language curriculum. Her publications explore topics like handwriting efficiency in language learning, feedback mechanisms in online assignments, and bridging K-12 to college curricula. She has contributed to conferences globally, including the ACM Conference on Learning at Scale and the International Conference on Computer Supported Education.

Nicolas Rodrigueمشاهده پروفایل

دانشیار

• Molecular Evolution
• Bayesian Statistics
• Computational Biology
• +۳ مورد دیگر

Nicolas Rodrigue is an Associate Professor in the Department of Biology at Carleton University, with a cross appointment in Biology. He holds degrees from Bishop's University (BA), McGill University (BSc), École de technologie supérieure (MSc), and Université de Montréal (PhD). His research focuses on Bayesian modeling of molecular evolution, particularly protein-coding genes and evolutionary forces like mutation, selection, and drift. He also explores Markov chain Monte Carlo methods, protein structure modeling, and next-generation sequencing for viral/microbial evolution studies. Education: BA, Bishop's University BSc, McGill University MSc, École de technologie supérieure PhD, Université de Montréal Research Interests: Bayesian phylogenetic models Mutation-selection dynamics Protein sequence and structural evolution High-performance statistical computing Microbial genomics and clinical evolution Recent publications highlight advancements in phylogenetic modeling, adaptive evolution detection, and computational methods for analyzing molecular data. His work integrates statistical frameworks with evolutionary biology to address complex questions about genomic adaptation and sequence evolution. Awards: None explicitly listed. Advising/Grants: No student advising or grant details provided in the text. Lab/Teams: No specific lab or team affiliations mentioned.

Monique Sénéchalمشاهده پروفایل

استاد

• Child Development
• Developmental Psychology
• Early Childhood Education
• +۳ مورد دیگر

Monique Sénéchal is a Professor in the Department of Psychology at Carleton University, affiliated with the Faculty of Arts and Social Sciences. She holds a Ph.D. from the University of Alberta. Her research focuses on child language and literacy development, particularly how natural activities like shared book reading and home literacy practices influence learning. She investigates mechanisms underlying reading and writing acquisition in English and French, emphasizing the cognitive and linguistic foundations of literacy. Her work spans cross-cultural studies, bilingualism, and longitudinal analyses of developmental outcomes. Her research lab, the Child Language and Literacy Research Lab , explores topics such as invented spelling, morphological knowledge, and the impact of parental involvement. Recent studies highlight the role of home literacy environments, maternal mental health, and statistical learning in orthographic systems. Publications from 2016–2025 reflect a focus on cross-linguistic comparisons (e.g., French silent letters), longitudinal developmental trajectories, and interventions to improve literacy skills. Key themes include early vocabulary’s predictive role in later literacy, bilingual language processing, and the efficacy of shared reading practices.

• Language Maintenance
• Bilingualism
• World Englishes
• +۳ مورد دیگر

Dr. Kamal K. Sridhar is a distinguished Professor at Stony Brook University, specializing in sociolinguistics with a focus on language maintenance, bilingualism, and World Englishes. She holds an MA in TESOL and a PhD in Applied Linguistics from the University of Illinois at Urbana-Champaign. From 1986-1997, she directed the TESOL programs and served as Director of ESL at Stony Brook. Her research explores linguistic preservation among Asian Indian communities, particularly the Thanjavur Marathi speakers. She has authored over 30 journal articles and book chapters, including her seminal work English in Indian Bilingualism (1989). Dr. Sridhar has held editorial roles in prestigious journals such as TESOL Quarterly and contributed to the Encarta of World Englishes . Her work bridges theoretical linguistics with practical pedagogy, addressing global language policy and multicultural education challenges. Education: PhD in Applied Linguistics, University of Illinois at Urbana-Champaign MA in TESOL, University of Illinois at Urbana-Champaign Research Interests: Language maintenance strategies among diasporic communities Indigenized Englishes and sociolinguistic variation Bilingual education policies in multilingual societies Cultural dimensions of language use in South Asia Her publications analyze language dynamics in India and global diasporas, emphasizing pragmatic aspects of English usage and the role of language in identity formation. Recent work focuses on sustaining endangered languages like Thanjavur Marathi despite centuries of migration.

• Human-Computer Interaction
• Social Robotics
• Conversational Agents
• +۳ مورد دیگر

Jan de Wit is an Assistant Professor at Tilburg University's Tilburg School of Humanities and Digital Sciences (Department of Communication and Cognition). His research focuses on human-robot interaction, conversational agents, and the ethical evaluation of AI systems. He is affiliated with the Academic Collaborative Center for Digital Health & Mental Wellbeing. Key research interests include social robotics, NLP evaluation methodologies, and the psychological impacts of digital interactions. Recent work explores mood contagion in human-robot collaboration and the use of LLMs for simulated user testing. He has organized workshops like EduCUI 2024 and contributed to projects such as the scoping review on intersectionality in technology design. Notably, he received a Best Paper Award in 2019 and has collaborated with institutions on interdisciplinary research.

• Computational Social Science
• Misinformation Studies
• Social Media Algorithm Analysis
• +۴ مورد دیگر

Professor Jana Lasser holds a professorship in Data Analysis at the University of Graz, where she leads the Complex Social & Computational Systems research group at the interdisciplinary IDea_Lab. She serves as Associate Faculty at the Complexity Science Hub Vienna and previously held positions at Graz University of Technology as a Marie Curie Fellow and interim professor at RWTH Aachen. Her educational background includes a PhD in Physics from Georg-August-University Göttingen (2019), conducted at the Max Planck Institute for Dynamics and Self-Organization, with research on salt desert pattern formation. Her academic journey reflects a transition from geophysics to computational social science. Lasser's research centers on emergent phenomena in complex social systems, employing machine learning, natural language processing, and computational modeling. Key interests include misinformation spread on social media, counterspeech effectiveness, social media recommendation algorithms' societal impact, and the fracturing of societal understanding of honesty. Her work combines theoretical frameworks with real-world applications through agent-based simulations and large-scale text analysis. Her recent publications reveal strong thematic coherence across computational social science, with significant focus on political communication dynamics, platform governance, and methodological innovation. The 15 most recent works demonstrate increasing integration of computational methods with social theory, particularly in analyzing truth-concept evolution in political discourse and developing alternative social media architectures. ERC Starting Grant 101160928 DeSiRe for designing social media recommendation algorithms FWF standalone project P 37280-N on conspiracy theory spread netidee SCIENCE prize for digital civic innovation Marie Curie Fellowship for postdoctoral research Lasser actively supervises graduate students in computational social science, with current focus on topics related to her ERC-funded project. She leads the Survey Special Interest Group within the COST Action on Researcher Mental Health, conducting Europe's largest benchmark study on academic mental health. Her lab maintains strong collaborations with the Complexity Science Hub Vienna and international institutions.

Ylva Sjöbergمشاهده پروفایل

دانشیار

• Arctic Hydrology
• Permafrost Dynamics
• Climate Change Impact on Water Resources
• +۲ مورد دیگر

Ylva Sjöberg is an Associate Professor at the Department of Ecology, Environment and Geoscience, Umeå University. Her research focuses on Arctic hydrology, permafrost dynamics, and climate change impacts on water resources, employing numerical modeling and field-based methods across northern Fennoscandia, Greenland, and Alaska. Key research areas include: Mechanistic understanding of Arctic river methane emissions (ARIMETH project, 2025) Cryospheric impacts on water quality and flow paths Development of standardized permafrost thaw monitoring protocols Science communication through Frozen-Ground Cartoons Her publications emphasize interdisciplinary approaches, linking groundwater-surface water interactions, permafrost thaw cascades, and biogeochemical processes in Arctic catchments. She actively collaborates with Indigenous communities and contributes to Arctic policy frameworks.

• Machine-learning-aided Antenna/Circuit Design
• Data-Driven Education
• Learner Engagement Analytics
• +۳ مورد دیگر

Dr. Chao Shu is a Lecturer (Assistant Professor) in the School of Electronic Engineering and Computer Science at Queen Mary University of London (QMUL). He holds a PhD in Electronic Engineering from QMUL (2021) and has prior industry experience as an R&D software engineer and division manager. His research focuses on machine-learning-aided antenna/circuit design, data-driven education, and AI-enabled personalized learning. He has authored/co-authored over 20 journal/conference papers, a book chapter, and 13 patents. He currently co-leads the Data Analytics Scholarship working group in his school and teaches modules such as Data Design, Digital Circuit Design, and Control Theory. Research & Awards : Dr. Shu secured a £960,000 grant (2023–2025) for a wireless power transmission project. His work has earned a Best Conference Paper Award at IEEE TALE 2023. He reviews for journals like IEEE Transactions on Antennas and Propagation and serves on conference committees, including IEEE EDUCON 2023. Teaching : He organizes modules covering data analytics, digital circuits, communication systems, and microprocessor design. His courses emphasize practical skills in Python, embedded systems, and control theory.

Brian Gerberمشاهده پروفایل

دانشیار

• Disaster Policy and Management
• Homeland Security Policy
• Environmental Regulatory Policy
• +۴ مورد دیگر

Brian Gerber is an Associate Professor at the Watts College of Public Service and Community Solutions and co-director of the Center for Emergency Management and Homeland Security at Arizona State University. His research focuses on disaster policy, homeland security administration, and environmental regulatory frameworks. He has extensive experience in policy analysis and program evaluation for government agencies and disaster relief nonprofits. Gerber's work bridges academic research with practical governance, addressing challenges such as interagency coordination in disaster response and language accessibility in emergency preparedness. His expertise spans climate change policy, cybersecurity in healthcare systems, and resilience strategies for critical infrastructure. He has contributed to national dialogues on pandemic response, bioterrorism preparedness, and the integration of smart city technologies with disaster management. Key areas of focus include the adaptation of urban centers to major epidemics, policy implementation dynamics in environmental justice, and cross-domain risk mitigation. Gerber has authored over 50 peer-reviewed publications and co-edited influential texts on public administration research methods and natural hazards governance. His research frequently emphasizes marginalized populations, such as persons with disabilities in disaster planning, and evaluates the role of universities as community stakeholders in disaster service provision. Gerber collaborates with international agencies on crisis translation policies and has advised on federal-state coordination during high-profile incidents like the Capitol riot and pandemic response.

Peter Lewisمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Socio-Technical Systems
• Self-Awareness
• +۷ مورد دیگر

Peter Lewis is an Associate Dean (Research and Graduate Studies) and Associate Professor at Ontario Tech University's Faculty of Business and Information Technology, holding a Canada Research Chair in Trustworthy Artificial Intelligence. He specializes in socio-technical systems, self-aware computing, and AI ethics. His work bridges foundational AI research with practical applications in industry, emphasizing trust, collective action, and socially intelligent systems. Education PhD in Computer Science, University of Birmingham, UK MSc in Natural Computation, University of Birmingham, UK BSc in Computer Science, University of Leicester, UK PGCert in Learning and Teaching Higher Education, Aston University, UK Research Interests His research focuses on trustworthy AI, self-aware systems, and the societal implications of AI. Key areas include explainable AI for accessibility, ethical AI governance, and modeling social institutions. He co-edited Self-Aware Computing Systems and serves on editorial boards for IEEE journals. Publications & Awards Over 75 peer-reviewed papers in journals/conferences Winner of the 2020 Aston Achievement Award for Business Engagement Best Paper Award at IEEE SASO 2018 Labs & Collaborations He leads research in the Business Analytics & AI group, collaborating on projects with industry partners. His work addresses real-world challenges in AI ethics, sustainability, and human-AI collaboration.

• Data-efficient deep learning
• Adversarial attacks
• Deep learning interpretations
• +۴ مورد دیگر

Anshul Thakur is a Departmental Lecturer in Clinical Machine Learning at the University of Oxford's Institute of Biomedical Engineering. His research focuses on advancing data-efficient deep learning techniques, adversarial attacks, and interpretable AI frameworks for healthcare applications. He holds a PhD from IIT Mandi (2020), where his thesis explored audio signal analysis using dynamic kernels and deep learning. Education: PhD in Computing & Electrical Engineering, Indian Institute of Technology Mandi (2020) Research concentrated on bioacoustic signal pattern analysis and ML frameworks for acoustic classification. Research Interests: His work emphasizes clinical AI applications, including federated learning for medical data, multimodal diagnosis systems, and mitigating class imbalance in healthcare datasets. He develops interpretable models for medical practitioners and explores ethical AI deployment in clinical settings. Recent Trends in Publications: Recent work addresses federated learning optimization, multimodal clinical diagnosis, and early disease prediction using biomarker patterns. His studies highlight innovations in EHR analysis, privacy-preserving techniques, and cross-domain medical model adaptation. Labs & Teams: Active in the Institute of Biomedical Engineering, collaborating on projects like the RapiD_AI framework for pandemic preparedness and Continuous Patient State Attention Models for irregular EHR data analysis.

Allegra Smithمشاهده پروفایل

استادیار

• Accessibility
• Age Studies
• Digital Rhetoric
• +۱۰ مورد دیگر

Allegra Smith is an Assistant Professor in the School of Literature, Media, and Communication (LMC) at Georgia Tech. Her research focuses on technical and professional communication, emphasizing how identity intersects with technology use, particularly addressing equity and accessibility for marginalized groups. She holds a PhD in Rhetoric and Composition from Purdue University and previously taught at Jacksonville State University, where she received the Campus Technology Award for innovative pedagogy. Education: PhD, Rhetoric and Composition, Purdue University MA, Digital Rhetoric and Professional Writing, Michigan State University BA, Professional Writing and Women's & Gender Studies, Michigan State University Research Interests: Dr. Smith examines aging and technology through digital rhetoric, feminist methodologies, and disability studies. Her work critiques design practices to ensure inclusive experiences for older adults and advocates for justice-centered pedagogy in technical communication. She has published in Technical Communication , SIGDOC , and Journal of University Teaching and Learning Practice . Teaching & Grants: Recipient of Georgia Tech's Class of 1940 Teaching Award (2025) Developed a digital studio course award-winning for its industry collaboration model Secured grants from the Ivan Allen College and Alabama Commission on Higher Education Awards: 2025: CIOS Award for LMC 3813 (Content Strategy) 2024: CIOS Award for LMC 3206 (Communication & Culture) 2022: Hugh Burns Best Dissertation Award Labs & Initiatives: Leads projects on UX design for older adults and collaborates with industry partners to bridge classroom and workplace technical communication practices. Her courses include Content Strategy and Communication & Culture .

Ilia Kuznetsovمشاهده پروفایل

پژوهشگر

• Natural Language Processing
• Peer Review Assistance
• Cross-document Modeling
• +۵ مورد دیگر

Dr. Ilia Kuznetsov is a Senior Postdoctoral Researcher at the Ubiquitous Knowledge Processing Lab (UKP Lab) of the Technical University of Darmstadt. He coordinates the InterText group, focusing on cross-document NLP and AI-assisted peer review systems. His research emphasizes responsible AI, human-AI collaboration, and empirical approaches to AI evaluation. He co-leads the "Ethics for Natural Language Processing" course at TU Darmstadt and has advised numerous students in PhD and master’s programs. Education includes a Candidate of Sciences (Mathematical and Applied Linguistics) from Lomonosov Moscow State University and work at the Higher School of Economics, Russia. His PhD at TU Darmstadt explored "The Role of Linguistics in Probing Task Design" . Research interests span peer review automation, cross-document modeling, and interpretable NLP. Key projects include NLPeer (a peer review resource) and CARE (a collaborative AI-assisted reading environment). Recent work focuses on large-language model applications in citation generation and task design. Publications emphasize peer review analysis, document structure modeling, and probing tasks. He actively collaborates on interdisciplinary projects addressing AI ethics and scholarly communication challenges.

Catherine Caldwell-Harrisمشاهده پروفایل

دانشیار

• Language Processing
• Second Language Acquisition
• Emotional Aspects of Language
• +۵ مورد دیگر

Catherine Caldwell-Harris is an Associate Professor in the Department of Psychological & Brain Sciences at Boston University. She holds a PhD from UC San Diego (1991), studying under Elizabeth Bates, Jeffrey Elman, and others. Her research integrates cognitive psychology, linguistics, and neuroscience, focusing on language processing, emotion, and bilingualism. Key contributions include documenting heightened emotional reactivity in native vs. second languages and pioneering work on repetition blindness in visual cognition. Her research interests encompass second language acquisition, emotional language processing, and autism spectrum disorders. Notable projects include cross-cultural studies on Russian, Mandarin, and Spanish bilinguals, and investigations into the Personality-Culture Clash hypothesis regarding mental health and cultural values alignment. She collaborates internationally, notably with German colleagues on consciousness studies using repetition blindness paradigms. Publications span over three decades, addressing topics like neurodivergent language strategies, affective neuroscience, and bilingual ethical decision-making. Her work bridges theoretical models (e.g., emergentist accounts of language learning) with empirical findings in psycholinguistics and cognitive science. She maintains active involvement in deaf education research, exploring ASL's role in supporting English literacy among deaf children.