جستجوی استاد راهنمای دانشگاهی

Christian Unkelbachمشاهده پروفایل

استاد

• Social Cognition
• Evaluative Judgments
• Information Ecologies
• +۶ مورد دیگر

Christian Unkelbach is Professor of Social Psychology at the Department of Psychology, Faculty of Humanities, University of Cologne, where he leads the Unkelbach Group. His research spans multiple domains of social and cognitive psychology with significant contributions to understanding evaluative processes. His primary research interests include Social Cognition, Evaluative Judgments, Information Ecologies, Stereotypes and Prejudice, Evaluative Learning, Fluency Effects, and Sport Psychology. Unkelbach's work examines how humans process evaluative information in social contexts, with particular focus on the truth-by-repetition effect , evaluative conditioning , and cognitive ecological frameworks that explain why certain information patterns dominate social cognition. His research demonstrates how repetition increases belief in information , how attributes become associated through mere pairings , and why positive information is processed more efficiently than negative information. Analysis of his recent publications reveals a consistent trajectory examining the relativity of social cognition , truth effects across contexts , and metacognitive awareness of cognitive biases . His work increasingly integrates cross-linguistic perspectives and examines real-world applications in media consumption and social judgment. Honorary Doctorate from UCLouvain (2025) ISCON Best Paper Award 2020 Speaker of DFG Research Unit FOR2150 'Relativity in Social Cognition' (2017-2021) Emmy Noether Research Grant (DFG, 2009-2013) Feodor Lynen Research Scholarship (Alexander von Humboldt Foundation) Fulbright Scholarship Unkelbach has advised numerous doctoral researchers including Andreas Miculka, Anne Irena Weitzel, Felix Speckmann, Lea Sperlich, and Tabea Zorn. His research group has secured multiple C-SEB grants for projects examining social cognition phenomena. The Unkelbach Group maintains active collaborations with international researchers across Europe and North America, with recent work funded through the DFG Research Unit on Relativity in Social Cognition. The Unkelbach Group laboratory at Richard-Strauss-Str. 2 in Cologne comprises postdoctoral researchers, doctoral candidates, and student assistants working on experimental paradigms examining evaluative learning, truth effects, and social judgment processes. Current projects investigate cross-linguistic truth effects, metacognitive monitoring of repetition effects, and ecological validity in social cognition frameworks.

Bogusława Whyattمشاهده پروفایل

استاد

• Psycholinguistics
• Translation Studies
• Translation Process Research
• +۵ مورد دیگر

Bogusława Whyatt is a Professor at the Faculty of English, Adam Mickiewicz University, Poznań. She holds a D.Litt. in linguistics (2014), Ph.D. in English (2000), and MA in English (1992) from Poznań institutions. Her academic profile spans psycholinguistics, translation studies, and cognitive approaches to translation processes. Key research themes include: Translation process dynamics and directionality effects Eye-tracking applications in translation reception studies Development of translation competence and pedagogy Psycholinguistic analysis of language processing Metacognitive skill transfer between translation and paraphrasing Recent publications focus on cognitive effort metrics, directionality impacts, and empirical methodologies combining eye-tracking and key-logging data. She leads major projects like Read Me (2021-2025) and EDiT (2016-2019), examining translated text reception and translation directionality respectively. Scientific honors include three consecutive Adam Mickiewicz University Rector's Awards for Organizational Excellence (2018, 2023, 2024). She supervises PhD research in translation cognition and has mentored four doctoral candidates to completion. Active in professional networks like the MC2 Lab and TREC consortium, she contributes to cognitive translation studies through methodological innovations and international conference organization. Her methodological expertise includes psychometrics, EEG research, and ATLAS.ti data analysis tools.

• Data Mining
• Machine Learning
• Reinforcement Learning
• +۹ مورد دیگر

Dr. Yanjie Fu is an Associate Professor in the School of Computing and AI at Arizona State University, part of the Ira A. Fulton Schools of Engineering. He maintains his office in BYENG 506 at the Tempe campus and can be reached at yanjie.fu@asu.edu. Dr. Fu received his Ph.D. from Rutgers University in 2016, the B.E. degree from the University of Science and Technology of China, and the M.E. degree from the Chinese Academy of Sciences. His industry research experience includes positions at Microsoft Research Asia and IBM Thomas J. Watson Research Center. His research focuses on developing disruption-robust machine intelligence that can handle imperfect and complex data. Dr. Fu's work spans two major efforts: Data for AI (D4AI), exploring how structure knowledge of data can guide AI, and AI for Data (AI4D), investigating how AI can augment, reprogram, and knowledgeize data. His current research interests include space-time intelligence, data-centric AI, sim2decision, multimodal reasoning, and LLM with agentic AI. His lab has contributed projects including D4AI-spatial, D4AI-timeseries, D4AI-causal outliers, AI4D-RL, AI4D-Gen, and AI4D-LLM. Dr. Fu's recent publications reveal a strong trend toward integrating causal reasoning with deep learning for robust anomaly detection, advancing time series forecasting with novel normalization techniques, and applying generative AI to urban planning. His work increasingly bridges traditional machine learning with large language models, particularly focusing on data-centric approaches for tabular data transformation and feature engineering. US NAE FOE early career engineer (2023) US NSF CAREER (2021) NSF CRII (2018) ACM KDD18 Best Student Paper Finalist IEEE ICDM Best Paper Finalist (2014, 2021, 2022) ACM SIGSpatial Best Paper Runner-up (2020) 2022 Baidu Scholar global top Chinese young scholars in AI 2021 Aminer.org AI 2000 Most Influential Scholar Award Honorable Mention Dr. Fu has successfully mentored multiple Ph.D. students who have secured tenure-track faculty positions at prestigious institutions including University of Kansas, Chinese Academy of Sciences, Great Bay University, Portland State University, and University of Macau. His research has been supported by significant grants including the NSF CAREER award, and he currently serves as Associate Editor of ACM Transactions on Knowledge Discovery from Data. He is also a senior member of both ACM and IEEE. Dr. Fu leads a research group focused on developing trusted and safe machine intelligence. The lab connects computing issues across representation learning, self-supervised learning, interactive learning, adaptive learning, and stream learning to build disruption-robust frameworks. The group executes two key steps: data representation construct (integrating structure knowledge, self-optimization, explainability) and learning strategy construct (integrating robust representations with adaptive and interactive learning).

• Artificial Intelligence in Education
• Digital Communication of Science
• Specialized Languages
• +۷ مورد دیگر

Dacia Dressen-Hammouda is a Professor of Universities at Université Clermont Auvergne, affiliated with the ACTé Laboratory (Activity, Knowledge, Transmission, Education). She co-leads Theme 1 ( Situations of knowledge transmission and learning ) and has held significant educational responsibilities since 2007, including designing and managing the Multilingual Technical Documentation Engineering and Multilingual Information Design programs. Her research spans English for Specific Purposes (ESP) , multimodality , indexicality , and intercultural rhetoric , with a focus on digital communication and AI integration in education. Research Themes include: Digital and multimodal supports in specialized English Genre-based pedagogies for professional and academic writing Intercultural challenges in second-language politeness negotiation Recontextualization of expert knowledge in digital media Indexicality as a framework for disciplinary identity analysis Article Trends highlight her work on multimodal literacy through instructional videos, indexicality in professional writing , and digital science communication . She explores how digital tools reshape genre mastery and how intercultural exchanges influence academic writing practices. Scientific Contributions include collaborations with researchers like Ciara R. Wigham and Susan Birch-Becaas , with projects such as the DILAN Project (Digital Language and Communication Training for EU Scientists). She has supervised PhD candidates Hamza Miftah and Nedjah Zerrouki , focusing on AI-driven writing support and multimodal travel blogs. Lab Engagement : As co-responsible for Theme 1 at the ACTé Laboratory, she integrates activity theory and ethnographic approaches to study writing as a social and pedagogical activity.

Hugo Paquetمشاهده پروفایل

پژوهشگر

• Probabilistic Programming
• Categorical Semantics
• Game Semantics
• +۴ مورد دیگر

Hugo Paquet is a Researcher at INRIA Paris and a member of the ANTIQUE team at École Normale Supérieure , PSL University. He completed a PhD in Computer Science (2015–2019) at the University of Cambridge under Glynn Winskel , focusing on concurrent game semantics for probabilistic programming. His postdoctoral work includes positions at LIPN, Paris (2022–2024, funded by a Marie Skłodowska-Curie Award) and University of Oxford (2020–2022). He has contributed to conferences including LICS , ESOP , FSCD , and POPL . Education : PhD in Computer Science (University of Cambridge, 2019) Research Interests : Probabilistic programming (semantics, inference algorithms, nonparametric models), categorical semantics (game semantics, concurrency models, adjunctions), combinatorial species, and 2-dimensional categories. Teaching : Category Theory (2023–2024), Bayesian Statistical Probabilistic Programming (2021–2022), Lambda-calculus and Types (2020–2021), and small-group teaching at Cambridge (Logic, Discrete Mathematics, Semantics). Awards : Marie Skłodowska-Curie Award under the Paris Region Fellowship Programme Labs : INRIA Paris, ANTIQUE team (2024–present)

Amir Aryaniمشاهده پروفایل

دانشیار

• Data Science
• Social Data Analytics
• Public Health Informatics
• +۵ مورد دیگر

Amir Aryani is an Associate Professor at the School of Business, Law and Entrepreneurship , Swinburne University of Technology . He leads the Social Data Analytics (SoDA) Lab within the Social Innovation Research Institute , focusing on data-driven solutions for health and social challenges. His work involves large-scale cross-institutional projects with international collaborators including the British Library , ORCID , and NIH . Research Focus: Data modeling, real-time analytics, and information retrieval for social-good initiatives Collaborations: CERN, Data Archiving and Networked Services (DANS), and Global Information Systems (GESIS) His research explores data science applications in mental health, community resilience, and sustainable development. Key trends in his publications include: Mapping research to United Nations Sustainable Development Goals Developing hybrid expert-finding models using NLP and graph algorithms Creating interoperable research graphs for cross-platform discovery Assessing social impact of data projects in non-profit sectors Amir is actively involved in PhD supervision and has secured funding from Australian Research Council , National Health and Medical Research Council , and philanthropic foundations . He also contributes to community data projects through the SoDA Lab , which builds tools for social connection analysis and humanitarian response optimization.

Jamie Callanمشاهده پروفایل

استاد

• Information Retrieval
• Neural Search Engine Architectures
• Knowledge Graphs
• +۵ مورد دیگر

Jamie Callan is a Professor at Carnegie Mellon University's Language Technologies Institute (School of Computer Science), where he leads research in Information Retrieval and Neural Search Architectures . He teaches advanced courses on search engine design and mentors students in multiple programs. Research Focus: Federated retrieval, knowledge graph integration in search, ClueWeb dataset development, and neural approaches to document ranking Leadership: Past SIGIR Treasurer/Chair, Co-founding Editor of Foundations and Trends in IR, former TOIS Editor-in-Chief His recent work explores: Neural Retrieval: Latent vocabulary for sparse systems, hypothetical documents for dense vector retrieval Dataset Innovation: Maintenance and distribution of ClueWeb09, ClueWeb12, and ClueWeb22 datasets Search Efficiency: Selective search architectures with 90% reduced computational costs Scientific Recognition: International ACM SIGIR Conference Leadership Co-founding Editor-in-Chief, Foundations and Trends in IR Former Editor-in-Chief of ACM TOIS Dr. Callan's Lemur Project has produced Indri/Galago search engines and supported TREC evaluations through dataset contributions.

Nhlanhla Mpofuمشاهده پروفایل

دانشیار

• Second Language Teaching
• Literacy Education
• Multilingual Education
• +۴ مورد دیگر

Dr. Nhlanhla Mpofu is an Associate Professor in TESOL and Literacy at Stellenbosch University's Faculty of Education, where she serves as Vice Dean for Teaching and Learning and Chair of the Department of Curriculum Studies. She also holds a Visiting Professor position at the University of Antwerp in Belgium. She obtained her PhD in Humanities Education from the University of Pretoria in 2016. Her research focuses on second-language learning in English-medium classrooms , developing culturally sustaining pedagogies that leverage learners' mother tongues, and re-orienting language education research in multilingual systems. She leads the NRF-funded project "Exploring the preparation and experiences of teachers using English across the curriculum: An interdisciplinary approach" and specializes in asset-based approaches that challenge deficit models in language education. Her publications demonstrate consistent focus on language policy implementation , teacher development , and multilingual pedagogies within African educational contexts, with recent work examining translanguaging strategies and disciplinary literacies. Awards & Honors: Fulbright Alumna Golden Key Honor Society Rated Researcher (South African National Research Foundation) Member of South African Young Academy of Science (SAYAS) Margaret McNamara Education Grantee COIL Fellow Grants: 2019: NRF-funded project on teacher preparation for English as Language of Learning and Teaching (Principal Investigator) She maintains professional memberships with the Southern African Linguistics and Applied Linguistics Society (SALALS) and South African Association for Language Teaching (SAALT), and serves on the South African Council on Higher Education Accreditation Committee.

Holly Yancoمشاهده پروفایل

استاد

• Human-Robot Interaction
• Robotics
• Assistive Technology
• +۷ مورد دیگر

Holly A. Yanco, Ph.D. , is a Professor of Computer Science at the University of Massachusetts Lowell (UML), where she also serves as the Distinguished University Professor and Director of the New England Robotics Validation and Experimentation (NERVE) Center . She founded the Human-Robot Interaction (HRI) Laboratory at UML in 2001, fostering interdisciplinary research in robotics, assistive technology, and artificial intelligence. Education: Dr. Yanco earned her B.A. in Computer Science from Wellesley College , followed by an M.S. and Ph.D. in Computer Science from the Massachusetts Institute of Technology (MIT) . Research Interests: Her work spans human-robot interaction , robotics education , assistive technologies , urban search and rescue (USAR) , and multi-modal interfaces . She has led collaborative initiatives such as Artbotics , integrating art and robotics in K-12 and college curricula, and Pyro , a Python-based robotics platform recognized as Premier Courseware of 2005 . Grants & Funding: Her research has been supported by the National Science Foundation (NSF) , U.S. Army Research Office , Microsoft Research , and National Institute of Standards and Technology (NIST) . Notable grants include an NSF CAREER Award (2005) and leadership roles in DARPA’s Fast Lightweight Autonomy (FLA) program . Awards & Recognition: Dr. Yanco has received teaching awards from UMass Lowell and MIT , served as General Chair of the 2012 ACM/IEEE International Conference on Human-Robot Interaction , and held leadership roles in AAAI’s Executive Council (2006-2009) . Lab & Outreach: The HRI Lab engages students from high school to Ph.D. levels, emphasizing K-12 outreach through Botball tournaments , STREAM teacher workshops , and the Artbotics program in collaboration with The Revolving Museum .

• Sensory Systems
• Social Behavior
• Neurogenomics
• +۴ مورد دیگر

Nora H Prior, PhD, is a Senior Research Associate in the Psychology Department at Cornell University, focusing on sensory systems, social behavior, and neurogenomics. Her research team explores avian behavioral neuroscience, with expertise in neuroendocrinology, bioacoustics, and comparative psychology. 2020-2021: Sessional Instructor & course designer, University of British Columbia 2018-2021: Postdoctoral Associate, Avian Behavioral Neuroscience Lab (University of Maryland) 2016-2018: Postdoctoral Fellow, Center for Comparative and Evolutionary Biology of Hearing (University of Maryland) 2015: Postdoctoral Fellow, Neuroethology & Bioacoustics Lab (University of Lyon) 2009-2014: PhD Candidate (University of British Columbia) Her research combines neuroendocrinology, bioacoustics, and behavioral ecology to study avian communication, pair bonding, and neurogenomic responses to environmental stressors. Key topics include: Acoustic fine structure in zebra finch communication Neuroendocrine regulation of monogamy and aggression Effects of water restriction on vocal behavior Differential gene expression in extreme physiological states Temporal processing of vocal sequences Perceptual limitations in avian cognition While her publications span from 2010-2025, recent work emphasizes methodological rigor in neuroscience research, environmental impacts on brain development, and neurogenomic resilience in wild birds. Her 2025 paper on Science Democratization addresses systemic challenges in behavioral neuroscience.

Craig Knoblockمشاهده پروفایل

استاد پژوهش

• Knowledge Graphs
• Data Semantics
• Schema Alignment
• +۵ مورد دیگر

Craig Knoblock serves as Keston Executive Director of the Information Sciences Institute (ISI) at the University of Southern California (USC), Vice Dean of the USC Viterbi School of Engineering, and Research Professor of Computer Science and Spatial Sciences. He also directs the Data Science Program and the Center on Knowledge Graphs at USC. His educational background includes a Ph.D. and M.S. in Computer Science from Carnegie Mellon University (1991, 1988) and a B.S. with honors in Computer Science from Syracuse University (1984). Knoblock's research focuses on data semantics , specializing in source modeling, schema and ontology alignment, entity and record linkage, data cleaning, Web data extraction, and knowledge graph construction. His work bridges computer science, geospatial analysis, and artificial intelligence to solve complex data integration challenges. Recent projects emphasize historical map digitization, geospatial knowledge graphs, and smart city applications. His 300+ publications demonstrate consistent contributions to knowledge graphs and geospatial data integration, with a growing emphasis on historical map analysis and urban applications. The research trajectory shows increasing interdisciplinary collaboration across computer vision, geoinformatics, and domain-specific applications. IEEE Fellow (2020) ACM Fellow (2017) AAAI Fellow (2004) Robert S. Engelmore Memorial Lecture Award (2014) Donald E. Walker Distinguished Service Award (IJCAI, 2018) Use-Inspired Research Award (USC Viterbi, 2018) As Executive Director of ISI, Knoblock oversees one of USC's premier research centers with significant federal funding. His leadership extends to directing the Center on Knowledge Graphs and the Data Science Program. While specific grant details aren't provided, his extensive publication record and leadership roles indicate substantial research funding across data integration, knowledge representation, and geospatial applications. His work bridges theoretical computer science with practical applications in historical preservation, urban planning, and resource management through collaborative projects with government agencies and industry partners. Knoblock leads the Center on Knowledge Graphs at USC, focusing on developing techniques for building and utilizing knowledge graphs across diverse domains. His team combines expertise in artificial intelligence, geospatial analysis, and data integration to tackle challenges in historical map digitization, urban applications, and resource discovery. The research group maintains strong connections with both academic and government partners through the Information Sciences Institute's extensive network.

• Artificial Intelligence
• Decision-Making Systems
• Fuzzy Logic
• +۵ مورد دیگر

Núria Agell Jané is a Full Professor at ESADE Business School , Universitat Ramon Llull, specializing in Artificial Intelligence and Decision-Making Systems. She leads the JUICE (Judgements and Decisions in the Market Place) research group and the ESADE D3 - Institute for Data-Driven Decisions . Doctorate in Applied Mathematics (Qualitative Reasoning Modelling), UPC-BarcelonaTech Bachelor's in Mathematics, University of Barcelona Her research focuses on Artificial Intelligence , Decision-Making Systems , and Fuzzy Logic , with applications in Business, Marketing, and Sustainability. Recent publications emphasize Hesitant Fuzzy Linguistic Term Sets , Consensus Modeling , and AI in Sustainable Development . She coordinates multiple publicly and privately funded projects applying AI to Business and Marketing challenges. As PhD Programme Director (2005-2013) and current Department Director of Operations, Innovation and Data Sciences , she has shaped academic and research strategies at ESADE. Her work spans collaborations with institutions like LAAS-CNRS (France) and University of Edinburgh Business School , with over 40 journal publications and 50 conference contributions. She has directly supervised 11 PhD students in AI and Decision Sciences.

• Critical Care Neurology
• Electroencephalography (EEG)
• Neuroimaging
• +۸ مورد دیگر

Dr. Jennifer Ahjin Kim is an Assistant Professor in the Department of Neurology at Yale School of Medicine. She specializes in neurocritical care, focusing on quantitative analysis of electroencephalography (EEG) and neuroimaging for early diagnosis and treatment optimization in patients with severe neurologic injuries. Her clinical interests include traumatic brain injury, subarachnoid hemorrhage, stroke, and post-traumatic epilepsy. PhD in Neuroscience, Brown University (2012) MD from Brown University (2012) Neurology Residency, Massachusetts General Hospital/Brigham & Women's Hospital (2016) Neurocritical Care Fellowship, Massachusetts General Hospital/Brigham & Women's Hospital (2019) Dr. Kim’s research integrates multimodal data (EEG, MRI, CT) with machine learning to predict secondary complications after brain injuries. She actively contributes to clinical trials like BOOST3 and ASPIRE, aiming to improve outcomes for patients with traumatic brain injury, stroke, and hemorrhage. Her recent work emphasizes automated detection of epileptiform discharges, predictive modeling for delayed cerebral ischemia, and application of NLP to CT reports. Collaborations include frequent partnerships with Guido Falcone, Lawrence Hirsch, and Emily Gilmore. Dr. Kim leads the Kim Laboratory, which focuses on bedside monitoring technologies and secondary prevention strategies.

Susan Fussellمشاهده پروفایل

استاد

• Computer-Mediated Communication
• Intercultural Communication
• Human-Computer Interaction
• +۵ مورد دیگر

Susan Fussell is a Professor at Cornell University in both the Department of Communication and Department of Information Science. She received her Ph.D. in psychology from Columbia University and directs graduate studies in Communication. Key research areas: Computer-Mediated Communication, Intercultural Communication, Human-Computer Interaction, Multilingual Collaboration, and Collaborative Intelligence Analysis. Teaching focus: Theories of communication, research methods in social computing, and behavioral foundations of technology. Her publications from 2015-2025 reveal trends in cross-cultural communication technology , AI-mediated interaction , and collaborative problem-solving . Scientific awards include NSF grants #1025425, #1318899, #1314778 Google Faculty Gift She advises students like Nanyi Bi, Ge Gao, and Bin Xu. Notable collaborations include work with Claire Cardie, Sara Kiesler, and Dan Cosley. Projects include Tools for multilingual collaboration Energy conservation through social computing Telepresence robotics and human-robot interaction Contact: 226 Gates Hall, Ithaca, NY 14853 | sfussell@cornell.edu

Abdullahi Tasiu Abubakarمشاهده پروفایل

مدرس ارشد

• media audiences
• strategic communications
• conflict reporting
• +۱ مورد دیگر

Dr. Abdullahi Tasiu Abubakar is a Senior Lecturer and Director of the PhD Programme in the Department of Journalism at City St George's, University of London. He holds a PhD in Journalism and Mass Communications from the University of Westminster, awarded with no corrections. His professional background includes roles as a producer at BBC World Service (London) and Bureau Editor in Nigeria, alongside reporting for major Nigerian newspapers covering conflicts across West Africa. Research Focus: Dr. Abubakar specializes in media audiences, strategic communications, conflict reporting, and journalism ethics. His work critically examines how global media interacts with African audiences, the ethics of crisis journalism, and the communication strategies of insurgent groups like Boko Haram. Publication Trends: His scholarly output (2011-2024) demonstrates consistent focus on media in conflict zones, digital audience engagement, and African media landscapes. Recent works explore colonial legacies in broadcasting and mobile technology's impact on media consumption. A 2021 computational study represents an interdisciplinary divergence. Awards & Honors: Nigeria’s Best Newspaper Reporter of the Year NUJ Certificate for Professional Excellence Fellow, Higher Education Academy (AdvanceHE, UK) Professional Activities: He supervises PhD, MA, and undergraduate dissertations, has secured multiple research grants, and advises governmental/NGO bodies. As External Examiner at King's College London, he contributes to academic quality assurance. He regularly presents at major conferences (e.g., IAMCR, ICA) on extremism reporting and decolonization of media.