جستجوی استاد راهنمای دانشگاهی

Nathan C. Hulseمشاهده پروفایل

استاد مدعو

• Biomedical Informatics
• Clinical Decision Support Systems
• Knowledge Management
• +۶ مورد دیگر

Nathan C. Hulse, PhD, is an Adjunct Professor at the University of Utah's Department of Biomedical Informatics and Director of Clinical Knowledge Management at Intermountain Healthcare. He specializes in biomedical informatics, focusing on clinical decision support systems, family health history tools, and health information standards development. Education: PhD in Medical Informatics (University of Utah), BS in Computer Science (University of Utah) His research explores: Knowledge management strategies for EHR systems Consumer-facing health informatics tools for risk assessment Integration of genetic data into clinical workflows Standards-based interoperability (HL7, FHIR) Personalized health education delivery Analytics for clinical guideline adherence His publications emphasize: Electronic health record optimization Infobutton systems for point-of-care education XML-based clinical knowledge modeling Peer feedback mechanisms in medical knowledge bases Federated data sharing environments Visual analytics for clinical practice guidelines

Thomas Williamsمشاهده پروفایل

دانشیار

• Human-Robot Interaction
• Natural Language Processing
• Artificial Intelligence
• +۳ مورد دیگر

Thomas Williams is an Associate Professor of Computer Science at the Colorado School of Mines, where he directs the MIRRORLab (Mines Interactive Robotics Research Lab). He earned his PhD in Computer Science and Cognitive Science from Tufts University in 2017. His educational background includes: BA in Computer Science, Hamilton College, 2011 MS in Computer Science, Tufts University, 2013 PhD in Computer Science: Cognitive Science, Tufts University, 2017 Williams' research focuses on artificial intelligence for human-robot interaction, especially natural language understanding and generation in uncertain environments. His work integrates cognitive science principles from linguistics and psychology to develop context-aware robotic systems. Key areas include Human-Robot Interaction, Natural Language Processing, Robot Ethics, and Augmented Reality, with emphasis on ethical implications and social dynamics in human-robot communication. Analysis of his publications (2015-2020) reveals a clear trajectory toward context-sensitive dialogue systems that handle ambiguity, social norms, and ethical considerations. His work increasingly explores multimodal interaction through AR/VR and examines how language-capable robots influence human moral frameworks, with growing attention to gender dynamics and noncompliance behaviors in social robotics. His notable awards include: New and Future AI Educator Award, EAAI (2017, 2018) Teaching Fellowship, Tufts Graduate Institute for Teaching (2015) Doctoral Consortia participation at YRRSDS (2014), HRI (2015), and AAAI (2016) Williams teaches Human-Robot Interaction, Robot Ethics, and Computer Vision courses while leading externally funded research. His work receives support from NSF, ONR, ARL, and Early Career awards from NSF, NASA, and AFOSR, focusing on grants that advance context-aware natural language interaction in robotics. As director of the MIRRORLab, he oversees research on human-robot interaction systems that dynamically adapt to environmental, cognitive, social, and moral contexts, with applications in assistive robotics and collaborative workspaces.

• Discourse Studies
• Sociolinguistics
• Environmental Humanities
• +۵ مورد دیگر

Sari Pietikäinen is a Professor of Discourse Studies at the University of Jyväskylä's Department of Language and Communication Studies, within the Faculty of Humanities and Social Sciences. Her interdisciplinary research bridges Discourse Studies, Sociolinguistics, Anthropology, and Environmental Humanities, focusing on Arctic socio-ecological transformations, language in resource economies, and neoliberal work dynamics. Key projects include leading the 'Cold Rush' study (2016–2021), examining Arctic economic and discursive shifts through assemblage analysis, and the EU-funded 'Investing in the Arctic' (2018–2022), exploring labor and mobility in Northern regions. She has authored/co-edited influential books like Cold Rush (2024) and Uusi kurssi kohti diskurssia (2019), and contributes to journals like International Journal of the Sociology of Language and Journal of Sociolinguistics . Pietikäinen's work emphasizes methodological innovation, such as art-based knowledge design and speculative assemblage approaches. Her research addresses global capitalism's impact on language, identity, and resource valuation, often collaborating with international teams and stakeholders. She has presented at conferences including the AILA World Congress and Northern Political Economy Symposium, and leads grants totaling millions in EU and Finnish funding.

Justin Joqueمشاهده پروفایل

مدرس

• Digital Humanities
• Cybersecurity
• Library and Information Science
• +۴ مورد دیگر

Justin Joque is an Adjunct Lecturer in the Department of American Culture at the University of Michigan, part of the College of Literature, Science, and the Arts. His office is located at 260C Hatcher. His research interests span interdisciplinary fields such as digital humanities, cybersecurity, library science, and multiculturalism. He focuses on topics like data visualization in academic settings, the philosophical underpinnings of technology, and the intersection of cultural studies with digital scholarship. His work frequently bridges theory and practice, addressing challenges in information security, historical web data analysis, and the role of librarians in grant-driven interdisciplinary projects. Notable contributions include exploring cybersecurity pedagogy, sonification techniques, and the representation of cultural narratives in museums. While no awards are explicitly listed, his publications reflect a commitment to advancing methodologies in data analysis and library services. His advising and grants involvement is evident through collaborative projects documented in his 2017 article on librarian roles in grant initiatives. He contributes to the American Culture department’s mission through teaching and research that integrates technology with humanities.

Martin Corleyمشاهده پروفایل

استاد

• Speech Production
• Language Comprehension
• Psycholinguistics
• +۳ مورد دیگر

Martin Corley is a Professor of Speech, Language, and Cognition and Head of Psychology at the University of Edinburgh's School of Philosophy, Psychology and Language Sciences. He holds a full-time academic position and has been affiliated with the University of Edinburgh since 1995, after completing his PhD at the University of Exeter. His research focuses on speech production and comprehension, particularly the role of disfluencies (e.g., 'um,' 'er,' silent pauses) in communication, employing methods like eye-tracking, EEG, and ultrasound imaging. Corley teaches courses such as the MSc in Univariate Statistics and Methodology using R. He currently supervises PhD students Wei Li (Lead), Esperanza Badaya (Lead), and Nora Wolf (Secondary). His work has led to over 50 publications, including studies on scalar quantifier interpretation, deception detection, and the cognitive processing of non-literal language. He is actively involved in academic recruitment, recently advertising a teaching-focused Lecturer position in Psychology. Corley’s research interests span psycholinguistics, cognitive science, and neurolinguistics, with a focus on real-time language processing and social reasoning. He collaborates internationally and maintains a Google Scholar profile and personal website (martincorley.org). His Erdős number is 4, indicating academic collaboration proximity to Paul Erdős.

Katerina Perdikakiمشاهده پروفایل

استاد آموزشی

• Audiovisual Translation
• Film Adaptation
• Translation Studies
• +۳ مورد دیگر

Katerina Perdikaki is an Associate Teaching Fellow at the University of Surrey's Centre for Translation Studies, part of the School of English and Languages within the Faculty of Arts, Business and Social Sciences. She holds a PhD in Translation Studies (2016), an MA in Audiovisual Translation (2013), and a BA in English Language and Literature (2012). Her research focuses on audiovisual translation, semiotics, film adaptation, and the interplay between cultural transformation and creative translation. Notable works include studies on subtitling sensitive content, the emotional impact on subtitlers, and case analyses of film adaptations like Baz Luhrmann’s The Great Gatsby and Silver Linings Playbook . She teaches advanced modules in audiovisual translation and professional translation practice. Her empirical research bridges theoretical frameworks with practical challenges in translation, emphasizing interdisciplinary methodologies. Education: PhD: 'Adaptation as Translation: Examining Film Adaptation as a Recontextualised Act of Communication' (University of Surrey, 2016) MA: Audiovisual Translation (University of Surrey, 2013) BA: English Language and Literature (National and Kapodistrian University of Athens, 2012) Research Interests: Audiovisual translation, intersemiotic translation models, film adaptation as cultural transformation, translation of humor, and the emotional dimensions of translation work. Future research includes exploring subtitlers’ psychological experiences with sensitive material. Teaching: Leads MA modules on Audiovisual Translation and Professional Translation Practice (Greek), and has taught undergraduate courses on translation and interpreting skills. Awards & Grants: None explicitly listed, but her extensive publication record reflects sustained academic engagement. Labs/Teams: Active in the Centre for Translation Studies, contributing to interdisciplinary research on translation in the creative industries.

Bradley Malinمشاهده پروفایل

استاد

• Biomedical Informatics
• Data Science
• Machine Learning
• +۳ مورد دیگر

Bradley Malin is a Professor of Biomedical Informatics, Biostatistics, and Computer Science at Vanderbilt University. His research focuses on biomedical informatics, data science, and machine learning, with an emphasis on data privacy and security in healthcare contexts. He holds academic appointments across multiple departments, reflecting his interdisciplinary work in informatics and computational health research. Malin earned all his degrees from Carnegie Mellon University, including a Ph.D. in Computation, Organization, and Society, and has contributed significantly to advancing methodologies for privacy-preserving data analysis, synthetic data generation, and equitable AI applications in medicine. His work bridges technical innovation with ethical considerations, addressing challenges in healthcare data interoperability, bias mitigation, and scalable solutions for genomic and clinical data. Recent research trends include optimizing AI fairness in clinical predictions, leveraging large language models for healthcare documentation, and enhancing cohort representativeness in participatory research programs. He has also explored the societal implications of AI in medicine, including the role of race in algorithmic decision-making and privacy risks in genomic data sharing. Malin has co-authored numerous influential papers on topics such as federated learning frameworks, privacy-preserving synthetic data, and ethical safeguards in genomic research. His contributions extend to policy development, including guidelines for trustworthy AI in healthcare and frameworks for balancing privacy with data utility in public health initiatives.

Madalina Vlasceanuمشاهده پروفایل

استاد

• Climate Change
• Social Cognition
• Behavioral Science
• +۳ مورد دیگر

Madalina Vlasceanu is a Professor in the Department of Environmental Social Sciences at Stanford University's Doerr School of Sustainability. She holds a Ph.D. in Psychology from Princeton University (2021) and maintains an affiliation with New York University's Psychology Department via her email address vlasceanu@nyu.edu. Her research investigates how individual social cognition translates into collective phenomena like climate action and policy support, employing methods such as behavioral experiments, agent-based modeling, and global collaborations. She leads the Climate Cognition Lab, focusing on interventions to address climate change through interdisciplinary approaches. Her work bridges basic science and policy, addressing societal challenges like political polarization and misinformation. Education: Ph.D. in Psychology, Princeton University (2021). Research focuses on climate interventions' effectiveness across cultures and ideologies, the role of search algorithms in climate sentiment, and mechanisms to combat false beliefs. Her studies span 60+ countries and involve large-scale experiments with tens of thousands of participants. Awards: None explicitly listed in provided texts. Advising/Grants: No specific advisees or grants mentioned. Her lab collaborates internationally with many-lab initiatives and policy groups. Labs: Directs the Climate Cognition Lab at Stanford, exploring cognitive mechanisms underlying climate solutions through interdisciplinary methods.

Melike Erol-Kantarciمشاهده پروفایل

دانشیار

• AI-enabled wireless networks
• 5G and 6G communications
• Smart grids
• +۷ مورد دیگر

Melike Erol-Kantarci is an Associate Professor and Tier 2 Canada Research Chair in AI-enabled Next-Generation Wireless Networks at the School of Electrical Engineering and Computer Science, University of Ottawa. She is the founding director of the Networked Systems and Communications Research (NETCORE) laboratory. She holds a PhD and has over 140 peer-reviewed publications, with an h-index of 37. Her research focuses on AI-driven wireless networks, 5G/6G communication systems, smart grids, and cybersecurity. Education: PhD in Electrical Engineering (not explicitly stated, inferred from profile). Research interests include AI-enabled wireless networks, smart grids, IoT, and underwater sensor networks. She has received awards such as the 2019 N2Women recognition and IEEE Best Tutorial Paper Award (2017). She serves on editorial boards of IEEE journals and has organized international conferences. Her recent articles emphasize AI applications in 6G networks, secure communications, federated learning, and resource allocation. Key trends include leveraging LLMs for network orchestration, combating adversarial attacks, and optimizing next-gen wireless architectures. Her work on beam selection, ISAC, and RIS-assisted systems addresses critical challenges in 5G/6G. Awards include the Canada Research Chair and best paper recognitions. She actively contributes to open RAN standards and has co-edited books on smart grids and intelligent transportation. Her lab, NETCORE, drives innovation in networked systems.

Christian Pipalمشاهده پروفایل

پژوهشگر

• Digital political communication
• Elite behavior
• Computational social science methods

Christian Pipal is a Senior Research and Teaching Associate and External Lecturer at the Department of Communication and Media Research, University of Zurich, Switzerland. He concurrently holds a Ph.D. researcher position at the Department of Political Science, University of Amsterdam (since 2019), and has served as a Visiting Researcher at the University of Vienna (2020-2021) and a Research Associate at NEOS Lab (2018-2019). His academic journey includes a B.A. in International Development Studies (University of Vienna, 2013) and an M.A. in European Union and Russia Studies (University of Tartu, 2015). Pipal’s research focuses on digital political communication, elite behavior, and computational methods, with particular emphasis on text analysis, sentiment modeling, and multimodal data integration. His Ph.D. thesis, funded by the Horizon 2020 POLEMIC project, examines “The Emotional Rhetoric of Political Elites” , supervised by Gijs Schumacher, Mariken van der Velden, and Bert Bakker. Pipal’s work bridges political psychology, computational social science, and digital media studies, with contributions to datasets like EUSpeech V2 and methodological frameworks such as the MEXCA emotion pipeline. Pipal’s articles address challenges in computational text analysis, political tone dynamics, and social media engagement. His research agenda emphasizes overcoming gaps in validation practices, cross-lingual analysis, and methodological transparency. He has also explored TikTok’s role in political communication, NATO framing in the Ukraine conflict, and multiverse approaches to news-sharing behavior. His grants include the Horizon 2020 POLEMIC funding and collaborative projects at the NEOS Lab. Pipal actively contributes to labs like the Computational Communication Lab (University of Vienna) and co-develops tools for emotion expression analysis. His work intersects with interdisciplinary teams in political science, computer science, and behavioral psychology.

Frances Pownallمشاهده پروفایل

استاد

• Greek Historiography
• Ancient Greece
• Hellenistic Period
• +۴ مورد دیگر

Frances Pownall is a Professor in the Department of History, Classics, & Religion at the University of Alberta’s Faculty of Arts. She specializes in Greek historiography, particularly the fourth century BCE and Hellenistic periods, with a focus on Macedonian history and the reigns of Philip II and Alexander the Great. She currently serves as Honors Adviser for Classics and has held roles like Associate Chair (Undergraduate Studies) and Director of Classics. Her research explores power dynamics in ancient monarchies, historiographical traditions, and the fragmentary sources of Macedonian history. Notable works include Lexicon of Argead Macedonia (2020) and The Courts of Philip II and Alexander the Great (2022). She teaches courses on ancient Greek history, Hellenistic civilization, and classical Greek language. Education: PhD (Toronto, 1993), MA (UBC, 1987), BA (Honors, McGill, 1985) Research Interests: Macedonian historiography, Hellenistic political culture, Alexander’s legacy, and fragmentary historians like Philistus and Diodorus Siculus. Her work on Brill’s New Jacoby project involves editing and contextualizing fragmentary Greek historians. She is actively involved in editorial projects and academic committees, contributing to Classics curriculum development at the university level.

• Semantics
• Pragmatics
• Syntax-Semantics Interface
• +۷ مورد دیگر

Paul H. Portner is a Professor in the Department of Linguistics at Georgetown University, within the College of Arts and Sciences. His primary research lies at the intersection of semantics, pragmatics, and syntax, with a particular focus on verbal mood, modality, imperatives, and discourse structure. He is actively engaged in both teaching and research, offering courses ranging from introductory linguistics to advanced seminars in semantics and pragmatics. His educational background includes an A.B. in Philosophy from Princeton University and a Ph.D. in Linguistics from the University of Massachusetts at Amherst, where his dissertation was supervised by Barbara Hall Partee. His work has been supported by multiple NSF grants, including projects on clause types and gradable modal expressions. Portner’s research interests center on how grammatical structures encode speaker-addressee relations, politeness, and mood. He explores how meaning is constructed at the syntax-semantics-pragmatics interface, particularly in imperatives, exclamatives, and modal constructions. His theoretical work is deeply formal, drawing on tools from logic and philosophy of language. His recent publications (2020–2024) show a continued focus on modality, mood selection, and discourse meaning, with applications to cross-linguistic data (e.g., Korean) and computational modeling. Key themes include modal adjectives in media discourse, honorifics, indexical restrictions, and the semantics of belief and desire predicates. Notable scientific contributions include his monographs Modality (2009) and Mood (2018), both published by Oxford University Press, and his co-editorship of major reference works such as the Semantics: An International Handbook of Natural Language Meaning . He has been a frequent lecturer at summer schools, including the LSA Institute and CreteLing, helping to train the next generation of semanticists. He advises and collaborates with researchers such as Miok Pak, Raffaella Zanuttini, and Aynat Rubinstein. He has received research funding from the NSF for projects on clause types and gradable modals, and he continues to lead theoretical and empirical investigations into the structure of meaning in natural language. Portner is affiliated with the Georgetown Linguistics Department and maintains an active research profile, with ongoing work on his book Social Relations in Semantics and Pragmatics , under contract with Oxford University Press.

Abdul Shahidمشاهده پروفایل

مدرس

• Data Science
• Large Language Models (LLMs)
• Applied Artificial Intelligence
• +۱۲ مورد دیگر

Dr. Abdul Shahid is a Lecturer in Business Information Systems at the School of Business, South East Technological University (SETU), Waterford campus. He holds a PhD in Computer Science from Capital University of Science and Technology, Islamabad, and has previously served as a Lecturer at the National College of Ireland and a Postdoctoral Researcher at the University of Galway, contributing to EU Horizon 2020 projects such as Polifonia and InsiDE PRI. Research Interests: Dr. Shahid's research lies at the intersection of data science, large language models (LLMs), scientometrics, and applied AI. His work emphasizes the development of intelligent systems for decision-making in logistics, cybersecurity, and semantic computing. He is particularly focused on citation analysis, contextual embeddings, and the deployment of Retrieval-Augmented Generation (RAG) frameworks in industrial applications. Recent Research Trends: His recent publications reflect a strong emphasis on natural language processing for scientific literature analysis, including in-text citation identification, intent classification, and semantic modeling. These works integrate machine learning with knowledge engineering to extract and structure scientific knowledge from academic texts. Scientific Awards: No specific awards mentioned in the provided text. Advising and Grants: Dr. Shahid is currently accepting PhD students. His research has been supported through participation in high-impact EU-funded projects such as Horizon 2020’s Polifonia and InsiDE PRI, which involved data-driven analysis of scientific collaboration and knowledge graph applications in cultural heritage. Labs and Research Teams: He has been affiliated with research teams at the University of Galway working on EU Horizon 2020 initiatives. At SETU, he contributes to research in applied AI and business information systems, particularly in developing intelligent solutions for logistics and document understanding.

• Natural Language Processing
• Educational Technology
• Text Mining
• +۴ مورد دیگر

Dr. Thushari Atapattu is a Grant-Funded Researcher (A) and Post-doctoral Research Fellow in the School of Computer and Mathematical Sciences at the University of Adelaide . She leads the Learning Technology for Social Good (LT4SG) research group and contributes to the Computer Science Education Research Group . Her research focuses on text mining , natural language processing (NLP) , and discourse analysis , with applications in educational technology and social good initiatives. Her work addresses challenges such as combating cyberbullying via linguistic fingerprints, modeling mental health through social media data, and analyzing discourse patterns in Massive Open Online Courses (MOOCs). Key projects include: Developing computational models to improve communication processes in education and healthcare. Exploring teachers' academic discourse impact on MOOC video engagement. Creating emotion-annotated mental health corpora and frameworks for detecting learner confusion in online platforms. Dr. Atapattu is eligible to supervise Masters and PhD candidates, focusing on interdisciplinary topics at the intersection of NLP, education, and social impact. Her research group, LT4SG, emphasizes leveraging technology for community-driven solutions.

Adam Nixمشاهده پروفایل

دانشیار

• Organizational Corruption
• Business Ethics
• Responsible Business
• +۱۲ مورد دیگر

Dr. Adam Nix is an Associate Professor in Responsible Business at the Department of Management, Birmingham Business School, University of Birmingham. He is a member of the Centre for Responsible Business and co-leads its participation in the UN-affiliated PRME initiative. He also serves on the editorial board of the journal Business History as Book Reviews Editor. PhD in Management, Aston Business School (2019) Fellow of the Higher Education Academy (2016) MSc in International Business (2012) BA (Hons) in Business and Law (2011) Adam Nix's research centers on organizational corruption, misconduct, and irresponsible behavior, particularly in evolving market environments such as deregulated energy markets. His work integrates historical analysis with digital methodologies, including the use of AI to analyze email archives. Key research themes include EDI-related misconduct, linguistic trust in professional misconduct, and the preservation of digital organizational records. He has collaborated with institutions such as the National Archives UK and the Cabinet Office. His recent publications span interdisciplinary journals including Business History Review , AI & Society , and Journal of Business Ethics , reflecting a blend of business history, ethics, and digital innovation. His research shows a strong trend toward methodological innovation in archival research and a critical examination of corporate accountability. Henrietta Lawson Award for Best Article in Business History Review (2021) British Academy of Management’s Best Full Paper Award in Organisational Studies (2023) Birmingham Business School Outstanding Research Award (2023) Adam Nix has secured research funding from the Arts and Humanities Research Council and the Andrew W. Mellon Foundation for projects such as EMCODIST and Contextualising Email Archives. He teaches modules on Responsible Business, Sustainability, and Corporate Responsibility at both undergraduate and postgraduate levels. He has supervised PhD students and collaborates widely with scholars like Stephanie Decker and David Kirsch. His work bridges historical inquiry with contemporary ethical and technological challenges in business. He is actively involved in developing AI-based tools for searching and contextualizing email archives, contributing to the preservation and accessibility of digital-era corporate records. His lab and project work focus on digital archiving, AI-assisted historical research, and ethical business practices.