جستجوی استاد راهنمای دانشگاهی

• English Syntax
• Grammar in Discourse
• Discourse and Genre Theory
• +۴ مورد دیگر

Professor Heidrun Dorgeloh is affiliated with Heinrich Heine University Düsseldorf (HHU), where she has served as an Außerplanmäßige Professorin for English Language and Linguistics since 2021. She is part of the Faculty of Arts and Humanities and contributes to the Department of English Language and Linguistics through research, teaching, and leadership roles. Education : Habilitation (2014), Ph.D. in English Linguistics (1994), studies at Justus-Liebig-Universität Gießen, London School of Economics, and Université de Paris II. Her research focuses on English syntax , discourse and genre theory , discourse processing , and argumentative discourse . She examines how syntactic structures interact with discourse functions across genres, including medical, scientific, and narrative contexts. Recent work explores genre bias in language models and argument annotation schemes. Her publications and grants reflect interdisciplinary approaches, including: Scientific awards : Beste Dissertation des Jahres 1995 (HHU Düsseldorf). Grants : eLearning and teaching grants for projects like 'Linguistics, Literature, and your Career' and 'Narrativity and evolution of English genres.' Dorgeloh has held leadership roles such as Head of the B.A. Students' Office and Vice President of the HHU Senate. Her career spans full-time lecturing, interim professorships, and visiting scholarship at Ohio State University.

Titus von der Malsburgمشاهده پروفایل

استادیار

• Psycholinguistics
• Cognitive Modeling
• Eye-Tracking
• +۱۲ مورد دیگر

Titus von der Malsburg is a tenure-track Junior Professor of Psycholinguistics and Cognitive Modeling at the Institute of Linguistics, University of Stuttgart . His research focuses on incremental sentence comprehension, implicit gender biases, scanpath analysis, and computational modeling of language processing. He employs experimental methods like eye-tracking, ERP, and Bayesian statistics to investigate how humans integrate linguistic and cognitive cues during reading. Education : PhD in Cognitive Science (University of Potsdam), with postdoctoral positions at UC San Diego, University of Oxford, and University of Potsdam. His work spans psycholinguistics, cognitive science, and natural language processing, with a strong emphasis on reproducibility and open-source software development. He has contributed to debates on agreement attraction, semantic parsing, and the role of conversational principles in cognitive biases. His lab uses advanced eye-tracking equipment and promotes technical rigor in research practices. Recent publications highlight his contributions to understanding memory decay in syntactic dependencies, semantic attraction effects, and scanpath regularity as a predictor of reading comprehension. The lab actively seeks collaborators aligned with its focus on technical quality and open science. Notably, he clarifies his name’s correct formatting to avoid common misattributions.

• Artificial Intelligence
• Data Science
• Machine Learning
• +۹ مورد دیگر

Qianru Sun is an Associate Professor at the School of Computing and Information Systems, Singapore Management University (SMU), and a Lee Kong Chian Fellow. Her research focuses on artificial intelligence, machine learning, computer vision, and semantic segmentation, with a particular emphasis on few-shot learning, meta-learning, and domain adaptation in remote-sensing imagery. Recent publications highlight her work on visual chain-of-thought reasoning , 3D scene understanding via 2D models , and parameter-efficient fine-tuning of large models. Her research also extends to weakly-supervised semantic segmentation and cross-modal video retrieval . Scientific Awards : Lee Kong Chian Fellow (2021–2023, 2025–2027) Outstanding Service Award by MMAsia (2020) Outstanding Reviewer at NeurIPS'21 and ICLR'21 Students : PhD students: Luo Zilin, Tian Zichen, Ying Jiahao Master’s students: Bao Chunhui, LOH Yi Lin, MA Li

Philip Robbinsمشاهده پروفایل

دانشیار

• Experimental Ethics
• Moral Psychology
• Philosophy of Psychology
• +۴ مورد دیگر

Philip Robbins is an Associate Professor and Chair of the Department of Philosophy at the University of Missouri, part of the College of Arts and Science. He holds a PhD from the University of Chicago and an AB from Harvard University. His research focuses on experimental ethics, moral psychology, and the philosophy of psychology, with a particular interest in how adversity and technology influence moral judgment. Robbins has authored or co-edited key texts like The Cambridge Handbook of Moral Psychology (2025) and The Cambridge Handbook of Situated Cognition (2009). His work bridges philosophy with empirical research, examining topics such as AI ethics, moral responsibility attribution, and the psychological underpinnings of moral evaluation. Robbins has received awards including the Purple Chalk Award for Excellence in Teaching (2009) and has supervised numerous graduate and undergraduate students in philosophy and interdisciplinary projects. He directs the MU Experimental Philosophy Lab and has organized conferences on themes like situated cognition and moral psychology. His recent research includes studies on the impact of past suffering on moral praise and the ethical implications of AI-assisted warfare. Education highlights include a PhD in Philosophy (University of Chicago, 2000), AM in Philosophy (University of Chicago, 1993), MA in Art History (Northwestern University, 1991), and AB in Fine Arts (Harvard, 1985). Robbins has held roles such as Director of Graduate Studies (2012–2015) and has been active in university governance, including service on curriculum committees and the College of Arts and Science Undergraduate Scholarship Committee. His grants include funding for experimental philosophy projects and critical thinking course development. Robbins collaborates widely, co-authoring papers with scholars like Brian F. Malle and Francisco Alvear, and his work has been featured in media outlets like Science Daily and Neuroscience News .

Michael Weissمشاهده پروفایل

دانشیار

• Open Source Ecosystems
• Technology Innovation Management
• Cybersecurity
• +۴ مورد دیگر

Michael Weiss is an Associate Professor in the Department of Systems and Computer Engineering at Carleton University, affiliated with the Technology Innovation Management (TIM) program. He holds a Dr.rer.nat. (Mannheim) and Dipl.-Ing. (Munich). His research focuses on open source ecosystems, cybersecurity, and innovation management, with over 150 peer-reviewed publications. Weiss chairs conferences like MCETECH and PLoP, and serves on the Hillside Group board. Education: Dr.rer.nat. (Computer Science, 200?), Dipl.-Ing. (Computer Engineering, 200?) Research interests include open source governance, business process modeling, and patterns for collaborative systems. His work bridges technical and organizational aspects of innovation, emphasizing community-driven development and ethical technology use. Recent projects apply topic modeling and machine learning to analyze cybersecurity threats and domain-specific ecosystems. Publications span journals like Technology Innovation Management Review and conferences such as ACM PLoP. Notable contributions include frameworks for license compliance analysis and methodologies for managing remote software projects. Weiss also explores emerging technologies' societal impacts, including AI ethics in education. Advising focuses on graduate students in TIM and Systems Engineering programs. Collaborates with industry on open source security initiatives and contributes to standards through the Hillside Group. Active in innovation education, developing tools like the Community Design Canvas for fostering collaborative problem-solving communities.

• Computational Linguistics
• Natural Language Processing
• Sentiment Analysis
• +۲ مورد دیگر

Alexandri Christina is a Lecturer at the Faculty of German Language and Literature at the National and Kapodistrian University of Athens. Her research focuses on computational linguistics and natural language processing, with applications in sentiment analysis, machine translation, and human-computer interaction systems. Her work examines how implicit meaning and unspoken context in spoken interactions can be computationally modeled, particularly in political, journalistic, and technical domains. Recent projects explore the integration of generative AI with traditional linguistic approaches to enhance human-machine communication across specialized fields including medical, engineering, and maintenance contexts. Research trends show consistent focus on multilingual processing challenges, with innovations in knowledge graph construction for bias detection and cross-domain adaptation techniques. Publications demonstrate strong interdisciplinary connections between linguistics, computer science, and social sciences.

Jinqiu Yangمشاهده پروفایل

دانشیار

• Software Engineering
• Automated Program Repair
• Software Testing
• +۴ مورد دیگر

Jinqiu Yang is an Associate Professor in the Department of Computer Science and Software Engineering at Concordia University. His research focuses on software reliability, automated program repair, software testing, and quality assurance of machine learning systems, particularly in autonomous vehicles. He holds a PhD and MASc from the University of Waterloo and a B.Eng. from Nanjing University. Yang has been a tenure-track faculty member at Concordia since 2018, following research roles at IBM Watson and IBM CAS. Research Interests: Automated Program Repair Software Testing Machine Learning Systems Text Analytics of Software Artifacts Mining Software Repositories Autonomous Systems Quality Assurance Key Contributions: His recent work includes detecting concept drifts in ML systems (ICSE-25) and investigating social bias in LLM-generated code (AAAI-25). He leads the O-RISA Lab and has authored over 50 peer-reviewed publications, including distinguished papers at MSR-2018. Yang currently holds grants such as the NOVA FRQNT-NSERC Program (2024-2027) and the NSERC Discovery Grant (2019-2025). Service & Awards: Editorial Board Member of the Empirical Software Engineering Journal (EMSE) and active PC member in top venues like ICSE and FSE. Recipient of the IBM CAS Fellowship and ACM SIGSOFT Distinguished Paper Award. Teaching & Students: He mentors students in Master's and PhD programs, with funding available. His lab focuses on cutting-edge topics like secure code generation and autonomous vehicle reliability.

• Machine Learning
• Algorithm Optimization
• Neural Networks
• +۴ مورد دیگر

Kyungmi Joanne Lee is a Senior Lecturer at James Cook University (JCU), Australia, specializing in Computer Science and Artificial Intelligence. She holds a PhD in Computer Science from Griffith University (2007) and previously served as a Lecturer at Charles Sturt University (2007–2008). Her research focuses on machine learning, algorithm optimization, neural networks, data mining, and applied AI. Key projects include developing real-world scheduling systems for mining operations, ultrasonic signal classification, and spatio-temporal trajectory analysis. Teaching responsibilities include modules like Database Modelling, where she coordinates and lectures. She currently supervises 5 PhD students, with 3 nearing completion. Her work spans diverse applications, such as emergency management through geospatial data analysis and curriculum development via text mining. With 58 publications across journals and conferences, her contributions highlight interdisciplinary approaches to data-driven solutions.

• Process Mining
• IoT (Internet of Things)
• Cognitive Science
• +۳ مورد دیگر

Barbara Weber is a Full Professor of Software Systems Programming and Development and Vice President at the University of St. Gallen . She leads research in the Institute of Computer Science (ICS-HSG) , focusing on interdisciplinary applications of process mining, IoT integration, and cognitive aspects of software systems. Her work bridges computer science, business process management, and human-centered design. Education Background: Doctorate in Computer Science (university not specified in text) Research Interests: Process Mining Methodologies & Tool Development IoT-Driven Process Analytics Cognitive Load Analysis in Process Models Human-Computer Interaction in Software Systems Declarative Process Modeling & Modularization Key Contributions: Weber's research emphasizes practical applications of process mining in real-world systems, including IoT integration for smart factories and cognitive workload assessment via eye-tracking. She advocates for user-centric design principles in both software tools and business process frameworks. Labs & Teams: Active in the Institute of Computer Science (ICS-HSG) , where she collaborates on projects such as ProAmbitIon (process conformance checking) and LogView (process mining inquiry validation).

Jessica Mossمشاهده پروفایل

استاد

• Ancient Philosophy
• Epistemology
• Ethics
• +۳ مورد دیگر

Jessica Moss is a Professor of Philosophy at New York University's Department of Philosophy, currently on sabbatical during Spring 2025. She holds a B.A. from Yale University and a Ph.D. in Philosophy from Princeton University (2004). Her research focuses on ancient philosophy, particularly epistemology, ethics, and psychology in the works of Plato and Aristotle. She has authored two major books: Aristotle on the Apparent Good (2012) and Plato's Epistemology: Being and Seeming (2021), alongside numerous articles exploring ancient philosophical concepts. Before joining NYU, Moss held positions at the University of Pittsburgh and Balliol College, Oxford. She coordinates the department’s outreach program, actively engaging the broader community in philosophical discourse. Her work bridges historical and contemporary debates, offering fresh interpretations of classical texts while engaging with modern epistemological and psychological theories. Recent publications analyze topics such as knowledge vs. belief in ancient thought, dual-process psychology in Aristotle, and the conceptual history of belief. Her scholarship is widely recognized for its rigor and interdisciplinary approach, blending textual analysis with philosophical argumentation.

Natalie Personمشاهده پروفایل

استاد

• tutoring systems
• conversational agents
• question answering
• +۳ مورد دیگر

Natalie Person is Professor of Psychology at Rhodes College and Dean for Curricular Development. Her research develops intelligent tutoring systems and conversational agents that model expert human tutors, with applications in science education. Key contributions include the AutoTutor system, which incorporates affective computing to respond to learners' cognitive and emotional states. Research examines question-asking patterns, tutorial dialogue moves, and the intersection of cognition and emotion in learning. Methodologies combine discourse analysis with AI system design. Honored with the Clarence Day Award for Research and Jameson M. Jones Faculty Service Award. Current work explores socially intelligent interviewing systems and LSA implementation in educational environments.

Laurel Perkinsمشاهده پروفایل

استادیار

• First Language Acquisition
• Syntax and Semantics Acquisition
• Computational Cognitive Modeling
• +۳ مورد دیگر

Laurel Perkins is an Assistant Professor in the Department of Linguistics at UCLA. She investigates first language acquisition processes, focusing on infants' syntactic and semantic comprehension using computational and experimental methods. Her work emphasizes how children leverage prior linguistic knowledge to process noisy input during grammar development. Perkins holds a PhD from the University of Maryland (2019) and previously conducted postdoctoral research at the Laboratoire de Sciences Cognitives et Psycholinguistique (ENS Paris). She leads research in the UCLA Language Acquisition Lab. Education PhD in Linguistics, University of Maryland, 2019 (Advisor: Jeffrey Lidz) Postdoctoral Fellowship, Laboratoire de Sciences Cognitives et Psycholinguistique, 2019–2022 Research Interests Noise-tolerant syntax learning mechanisms Non-local syntactic dependency acquisition in infancy Syntax-semantics bootstrapping in early verb learning Computational modeling of grammatical development Her research synthesizes behavioral experiments with formal computational models to explain how children construct grammars from imperfect input data. Recent work explores how infants represent syntactic structures like filler-gap dependencies and how visual perception interacts with linguistic learning. Awards & Grants None explicitly listed in provided texts. Lab Affiliations UCLA Language Acquisition Lab

Peter Hallمشاهده پروفایل

استاد

• Computer Vision
• Computer Graphics
• Medical Imaging
• +۵ مورد دیگر

Professor Peter Hall is a faculty member in the Department of Computer Science at the University of Bath, affiliated with the Centre for Digital Entertainment (CDE), Centre for the Analysis of Motion, Entertainment Research & Applications (CAMERA), Visual Computing, and the Bath Institute for the Augmented Human. His research focuses on computer vision applications in computer graphics, including style transfer, tactile interfaces for visual impairment, and medical imaging techniques. He has led and collaborated on projects funded by EPSRC and EU Horizon 2020, such as the CAMERA initiative and studies on multisensory interaction. His expertise spans computer vision fundamentals like image segmentation, object recognition, and generative adversarial networks (GANs), alongside interdisciplinary work in medical imaging, robotics, and accessibility technologies. Notable contributions include deep learning-based MRI reconstruction, geometric style transfer algorithms, and tactile image generation for visually impaired users. Education details not explicitly stated in provided texts Projects include IAA tactile display systems, CAMERA motion analysis, and generative adversarial network research Advising and grants involve leadership roles in EPSRC-funded projects like 'Acquiring Complete and Editable Outdoor Models' and EU initiatives. His work aligns with UN SDGs related to health innovation and accessibility. Current research emphasizes domain adaptation techniques and cross-depiction problem solutions in computer vision.

Yanshan Wangمشاهده پروفایل

استادیار

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

Yanshan Wang is an Assistant Professor and Vice Chair of Research in the Department of Health Information Management at the University of Pittsburgh, with secondary appointments in Biomedical Informatics, Intelligent Systems, and Clinical and Translational Science. He leads the PittNAIL Lab, pioneering generative AI and clinical NLP applications in healthcare. His research focuses on leveraging AI and EHR data to address clinical challenges, with an emphasis on ethical implications and bias mitigation. Education: PhD and MS from Korea University; BS from Harbin Institute of Technology. Research interests include clinical NLP, generative AI, machine learning for healthcare, and ethical frameworks like the GREAT PLEA principles. He chairs AMIA's Natural Language Processing Working Group and leads NIH-funded projects like the ENACT Network. Awards include Fellow of the American Medical Informatics Association (FAMIA). His work spans grants in AI ethics, rehabilitation research, and rare disease identification. Labs/Teams: Director of PittNAIL Lab and the Center of Clinical Natural Language Processing.

Marya Bazziمشاهده پروفایل

استادیار

• Network Science
• Time-Dependent Networks
• Multilayer Networks
• +۷ مورد دیگر

Marya Bazzi is an Honorary Assistant Professor at the University of Warwick. Her research focuses on developing methods for analyzing large time-dependent data, with a primary focus on Network Science. She investigates mesoscale structures in networks such as community detection, core-periphery structures, and multilayer networks, applying these tools to domains like online media, biology, finance, and digital humanities. Her work includes contributions to scalable graph representation learning (Local2Global framework), semantic change detection using the UK Web Archive, and computational journalism. She co-organizes academic initiatives like Data Science for Social Good, Data Study Group, and workshops on media in the digital age. Her research bridges algorithmic development with practical applications, emphasizing interdisciplinary collaboration. Key publications span Machine Learning, Network Science, and Computational Biology, reflecting her expertise in both theoretical frameworks and applied problem-solving. While no awards are explicitly mentioned, her active participation in organizing academic activities demonstrates leadership in fostering collaborative research environments.