جستجوی استاد راهنمای دانشگاهی

Jingjing Mengمشاهده پروفایل

پژوهشگر

• Multimedia
• Computer Vision
• Machine Learning
• +۳ مورد دیگر

Jingjing Meng is a Senior Scientist affiliated with the Computer Science and Engineering Department at the University at Buffalo, SUNY, and Amazon. She holds a Ph.D. from Nanyang Technological University (NTU, Singapore), advised by Prof. Yap-Peng Tan, along with an M.S. from Vanderbilt University and a B.E. from Huazhong University of Science & Technology, China. Her research focuses on multimedia, large multimodal models, product recommendation/search, and computer vision applications. Notable contributions include work on surgical triplet recognition, 3D object representation, and video summarization. She has received the 2016 IEEE Transactions on Multimedia Best Paper Award. Service Roles: Technical Program Co-Chair (ICME 2024), Tutorial Co-Chair (ACM MM 2024), Area Chair (AAAI 2021-2025), and Associate Editor for IEEE TMM, Signal Processing: Image Communication, and others. Leadership: Member of IEEE IVMSP TC, VSPC TC, and MSA TC committees, and a Senior Member of IEEE. Teaching includes courses like Multimedia Systems (CSE 534), Computer Graphics (CSE 410/580), and Discrete Structures (CSE 191). Her work bridges theoretical advancements and practical applications in multimedia and AI.

Esti Blanco-Elorrietaمشاهده پروفایل

استادیار

• Neurobiology of Language
• Bilingualism
• Cognitive Neuroscience
• +۴ مورد دیگر

Esti Blanco-Elorrieta is an Assistant Professor of Psychology and Neural Science at New York University (NYU), where she leads the Neuroscience of Language Laboratory. Her research focuses on the neurobiology of language, particularly bilingualism, leveraging neuroimaging, computational, and behavioral methods. She completed her PhD at NYU and a postdoctoral fellowship at Harvard University's Cognitive Neuropsychology Lab. Her work emphasizes ecologically valid approaches to understanding language processing in multilingual individuals, including sign language users. Education: PhD in Psychology (NYU, 2020), Master's in Cognitive Neuroscience of Language (BCBL, 2015), Bachelor's in Basque Philology (University of Deusto, 2013). Research interests include bilingual aphasia, neural mechanisms of language control, and the societal implications of multilingualism. She has received prestigious awards such as the Forbes 30 Under 30 in Science (2019) and multiple dissertation awards. Awards: Cognitive Science Society Glushko Dissertation Award, NYU Outstanding Dissertation Award, Ben Barres Fellowship. Advocacy: Committed to transgender rights and LGBTQ+ inclusion in academia, she has been a speaker at UCL's LGBTQ+ Research Showcase and contributed to Spain's gender equality policies.

• Semantic Audio
• Music Information Retrieval
• Semantic Web
• +۳ مورد دیگر

Dr. George Fazekas is a Senior Lecturer at Queen Mary University of London's School of Electronic Engineering and Computer Science. His research focuses on semantic audio, music information retrieval, and deep learning applications in music technology. He is affiliated with the Centre for Multimodal AI and contributes to advancing technologies like semantic web music, emotion recognition, and differentiable signal processing. His teaching includes modules on research methods, responsible innovation, and the Semantic Web. Research interests span semantic audio analysis, music ontology development, and AI-driven music production tools. He has collaborated on projects such as the Open Multitrack Testbed and the Audio Commons Ontology. Notable contributions include work on handwritten music synthesis, dynamic range compressor control, and adaptive music systems like Mood Conductor. Publications emphasize machine learning for music tasks, including few-shot learning for historical manuscripts and neural synthesis techniques. His work bridges theoretical research with practical applications in audio engineering and music technology.

Shaogang Gongمشاهده پروفایل

استاد

• Computer Vision
• Machine Learning
• Multimodal Artificial Intelligence
• +۵ مورد دیگر

Professor Shaogang Gong is the Professor of Visual Computation at the School of Electronic Engineering and Computer Science, Queen Mary University of London. He leads the Computer Vision Group and serves as the Industrial Engagement Lead of The Centre for Multimodal AI. His research focuses on Computer Vision, Machine Learning, and Multimodal Artificial Intelligence, with notable contributions to object and action recognition, video analysis, and federated learning. He teaches Deep Learning and Computer Vision at the postgraduate level. Education details are not explicitly stated in the provided texts, but his academic roles and publications indicate advanced qualifications in computer science. His work spans theoretical advancements and industrial applications, with a strong emphasis on multimodal learning, self-supervised learning, and representation learning. Recent research trends include addressing modality imbalance in video retrieval, generative diffusion models, and improving fairness in algorithmic systems. He has collaborated on projects like the Centre for Multimodal AI, focusing on industrial engagement. His publications span top venues like CVPR, AAAI, and IEEE Transactions, demonstrating impactful contributions to computer vision and AI. Awards or grants are not explicitly listed, but his extensive publication record and leadership roles reflect significant academic recognition. He advises on research grants and oversees teams in visual computation and AI, contributing to both academic and applied projects.

Dagmar Haumannمشاهده پروفایل

استاد

• English Linguistics
• Historical Linguistics
• Syntax
• +۵ مورد دیگر

Dagmar Haumann is a Professor of English Linguistics at the Department of Foreign Languages at the University of Bergen. Her research focuses on historical linguistics, syntax, morphology, and language acquisition, with a particular emphasis on diachronic processes such as reanalysis, grammaticalization, and syntactic change in English. She has extensively studied adverbial structures, tough-constructions, and corpus-based methodologies. Haumann’s academic contributions include over 30 publications, including monographs, edited volumes, and peer-reviewed articles. Notable works include The Development of Speaker-Oriented Adverbs in English (2025) and Digitally-assisted Historical English Linguistics (2023). Her research often combines theoretical frameworks with empirical corpus data, addressing topics like argument structure changes, modal particles, and multilingualism. She has supervised numerous master’s theses and doctoral dissertations on topics ranging from Norwegian L2 learners’ challenges to historical syntactic phenomena. Her work frequently collaborates with scholars like Kristin Killie and Matthias Eitelmann, exploring reanalysis mechanisms and diachronic variation in English. Haumann’s teaching and supervision emphasize cognitive linguistic principles and practical applications of corpus linguistics in language education. She is an active participant in international conferences, contributing to discussions on language change methodologies and digital humanities approaches in linguistics.

Edward Elliottمشاهده پروفایل

دانشیار

• Philosophy of Mind
• Decision Theory
• Formal Epistemology
• +۸ مورد دیگر

Edward Elliott is an Associate Professor at the University of Notre Dame's Department of Philosophy (College of Arts and Letters), transitioning from the University of Leeds where he held a Lecturer position (2016–2024). He specializes in philosophy of mind, decision theory, and formal epistemology with cross-disciplinary work in philosophy of language, metaethics, and biology. His research focuses on graded beliefs, intentionality, and foundational issues in probability theory. Education: PhD in Philosophy (Australian National University, 2015), BA Hons (ANU, 2010), BA in Philosophy & Ancient History (University of Tasmania, 2009) Key Positions: Centre Director, Centre for Metaphysics and Mind (Leeds, 2018–2021); External Examiner, University of Edinburgh (2022–2024) Research interests include measurement theory applications to belief systems, functionalist approaches to intentionality, and critiques of ethical neutrality in decision frameworks. He has published extensively on topics like radical misinterpretation, Bayesian decision-making, and moral nihilism. His 2024 book The Measurement of Subjective Probability formalizes axiomatic systems for belief measurement. Notable awards include a Marie Skłodowska Curie Fellowship (€183,454) and the Australian National University Medal (2010). He supervises PhD students in mind & language and teaches advanced courses on epistemology, philosophy of biology, and formal logic. Active in academic service, he reviews for leading journals and grants councils.

Daniel Nolanمشاهده پروفایل

استاد

• Metaphysics
• Philosophy of Science
• Philosophical Logic
• +۵ مورد دیگر

Daniel Nolan is the McMahon-Hank Professor of Philosophy at the University of Notre Dame's Department of Philosophy, part of the College of Arts and Letters. He is also set to join the University of California, Santa Cruz as a Professor of Philosophy from 2025. His academic journey includes previous positions at the Australian National University, University of Nottingham, University of St Andrews, Syracuse University, and Macquarie University. He is a Fellow of the Australian Academy of the Humanities and an Honorary Professor at the University of Queensland. Nolan co-edits the journal Noûs and has held visiting fellowships at prestigious institutions like the National Humanities Center. His education includes a Ph.D. from the Australian National University. Nolan’s research focuses on metaphysics, philosophy of science, philosophical logic, and metaethics. He explores topics like modal realism, possible worlds semantics, counterfactuals, and the foundations of ethics. His work often employs formal methods and historical analysis, engaging deeply with figures like David Lewis and Aristotle. Nolan’s recent publications address themes such as infinite clowns paradoxes, marriage ethics, modal logic, and Zoroastrian philosophical systems. His writing spans monographs, journal articles, and encyclopedia entries, reflecting both theoretical rigor and interdisciplinary engagement. He has received significant recognition, including fellowships and editorial roles that highlight his influence in analytic philosophy. Nolan’s academic service includes roles in curriculum development and mentorship, though specific advisee names are not listed. His research has been supported by grants and institutional collaborations across institutions in the US, UK, and Australia. He maintains active involvement in academic communities through editorial work and international speaking engagements.

• Epistemology
• Philosophical Logic
• Analytic Philosophy
• +۳ مورد دیگر

James Chase is an Associate Professor in the Philosophy and Gender Studies program at the University of Tasmania's School of Humanities. He currently serves as Associate Dean (Learning and Teaching Performance) within the College of Arts, Law and Education. Previously, he held roles such as Assistant Dean (Student Engagement and Retention) and Head of Discipline. Chase earned his PhD from the Australian National University and has taught at institutions including Victoria University of Wellington and Macquarie University. His research focuses on epistemology, the history of analytic philosophy, and philosophical logic. Key interests include the relationship between knowledge and truth, antirealist positions, and the methodology of analytic philosophy. He has collaborated on projects examining analytic vs. continental philosophical methods and applications of epistemology to science communication. Chase has led or contributed to funded projects on pedagogical content knowledge, wellness frameworks in health care, and interventions to improve student engagement in online learning. His teaching spans epistemology, philosophy of mind, and logic, with experience in on-campus, blended, and distance education. He has supervised doctoral students in epistemology, philosophy of science, and interdisciplinary ethics. Chase's work extends to institutional leadership, including curriculum design and learning initiatives, reflecting his commitment to fostering critical thinking and ethical engagement among students.

Timothy Wileyمشاهده پروفایل

مدرس

• Autonomous Robotics
• Artificial Intelligence
• Online Learning
• +۶ مورد دیگر

Dr. Timothy Wiley is a Lecturer in Computer Science at RMIT University's School of Computing Technologies within the STEM College. He specializes in Artificial Intelligence and Robotics, focusing on autonomous systems, online learning, and human-robot interaction. His roles include leading the RedbackBots RoboCup team and designing core courses in AI and robotics. He holds a PhD from UNSW Sydney and has extensive industry and academic collaborations, including with Rheinmetall Defence Australia and Nova Systems. Affiliations: RMIT AI Innovation Lab, CIAIRI, RUASRT Education: PhD (Computer Science, UNSW), BSc (Computer Science, UNSW) Research: Autonomous robotics, Explainable AI, UAV systems, fatigue crack modeling Research interests center on data-efficient machine learning for robotics, explainable AI, and applications in agriculture, aviation, and defense. Recent projects include UAV delivery systems and AR visualization for RoboCup. He teaches courses like Programming Autonomous Robots and leads the first-year Programming Studios. Notable achievements include the 2025 Best Paper Award at HRI and finalist status in RMIT's 2023 Research Leadership Awards. His work bridges academic research with industry applications, such as food waste reduction in macadamia harvesting and urban wind environment modeling for AAM.

Thomas Holdenمشاهده پروفایل

استاد

• History of Philosophy
• Metaphysics
• Philosophy of Science
• +۲ مورد دیگر

Thomas Holden is a Professor in the Department of Philosophy at the University of California, Santa Barbara. His research focuses on the history of seventeenth- and eighteenth-century philosophy, particularly in metaphysics, philosophy of science, philosophy of religion, and the empiricist tradition. Education: Ph.D., University of North Carolina at Chapel Hill Holden specializes in early modern philosophy with emphasis on metaphysical themes such as materialism, necessity, and causation. His work critically examines philosophical discourse around religion, language, and scientific paradigms in Enlightenment thinkers including Hume, Hobbes, and Berkeley. Recent publications concentrate on modal metaphysics, religious language, and historical materialism. His scholarship demonstrates consistent engagement with conceptual problems in causation and necessity across Hume's probability theories, Hobbes' theological concepts, and Berkeley's epistemology. He has authored several books analyzing the metaphysical frameworks of early modern philosophers and their approaches to theological and scientific questions.

Tyler Petersonمشاهده پروفایل

استادیار

• Linguistics
• Indigenous Language Revitalization
• Language Documentation
• +۳ مورد دیگر

Tyler Peterson is an Assistant Professor in the Department of English at Arizona State University (ASU). His research focuses on the documentation, revitalization, and maintenance of endangered Indigenous languages, particularly in the Americas and Oceania. He holds an affiliation with the Center for Biodiversity Outcomes at ASU and previously served as a visiting lecturer at the University of Auckland, New Zealand. His expertise lies at the intersection of linguistics, semantics/pragmatics, and applied language technology. Education: PhD in Linguistics from the University of British Columbia (dissertation on Gitksan language under Lisa Matthewson). Research interests include the role of everyday technology in language preservation, theoretical semantics of evidentiality and mirativity, and syntactic phenomena in Indigenous languages like Tsimshianic and Cook Islands Māori. Publications span theoretical linguistics and applied Indigenous language studies, with notable work on epistemic modality in Gitksan, mirativity cross-linguistically, and child language acquisition of syntactic structures. His interdisciplinary approach integrates computational methods with community-driven language revitalization efforts. Grants and collaborations involve Indigenous communities and institutions in developing language resources. Current projects explore culturally grounded models for assessing language vitality and leveraging digital tools for language education.

John Breslinمشاهده پروفایل

استاد

• Data Science
• Artificial Intelligence
• Social Semantics
• +۷ مورد دیگر

John Breslin is a Personal Professor in Electronic Engineering at the University of Galway, leading the TechInnovate/AgInnovate programs. His roles include Director of the Insight (Data Analytics) and VistaMilk (AgTech) research centers. He has authored 350+ publications and co-created the SIOC framework, widely used in web applications. His research spans Data Science, AI, Semantic Web, IoT, and Entrepreneurship. He has won multiple awards, including the Best Irish-Published Book and IIA Net Visionary Awards. His teaching spans 25 years, covering topics like Digital Control Systems and Innovation. He co-founded boards.ie, StreamGlider, and leads initiatives in Galway's innovation ecosystem. Research Interests: Data Science, AI, Social Semantics, IoT, Agricultural Technology, and Innovation. He is ranked top in Engineering and Computer Science citations at the University of Galway. His work contributes to UN SDGs related to Industry, Innovation, and Infrastructure. Education: Details not explicitly provided in text. Collaborations include Bosch, Cisco, IBM, and Harvard Medical School. Active in industry partnerships and startups, including the PorterShed Innovation District. Awards: Best Paper Awards, Entrepreneurship Recognition, and Academic Excellence. Supervised nearly 30,000 ECTS across modules, with a focus on graduate and postgraduate tech innovation programs.

Julie Wallمشاهده پروفایل

استاد

• Artificial Intelligence
• Advanced Computing
• Deep Learning
• +۱۲ مورد دیگر

Professor Julie Wall is a faculty member at the University of West London, serving as Professor of AI and Advanced Computing in the School of Computing and Engineering. She is actively engaged in research, teaching, and professional service, including her role as an expert at the British Standards Institution (BSI) in the domain of artificial intelligence. Research Interests: Julie Wall's research is centered on the design and application of intelligent systems for processing and modeling temporal data, particularly in speech and language. She leverages neural network architectures—ranging from biologically inspired models to computationally efficient deep learning systems—to analyze diverse data types such as audio, video, images, tabular data, and 3D features. Her work extends to developing production-grade deep learning and natural language understanding systems for immersive environments like virtual and augmented reality. Publications and Research Trends: Her body of work, comprising over 50 high-quality papers and multiple patents, reflects a strong trajectory in AI systems that integrate multimodal data with temporal dynamics. The research spans core areas of machine learning, natural language processing, and applied AI, with increasing focus on real-world deployment, efficiency, and intelligent interaction in extended reality platforms. Scientific Awards: US Patent UK Patent Advising and Grants: Julie Wall supervises research students across disciplines including forensic science and artificial intelligence. She contributes extensively to academic programs, teaching courses such as BSc and MSc in Computer Science, Artificial Intelligence, Data Science, and specialized AI programs in cybercrime and criminal justice. While specific grant details are not listed, her patent holdings and publication volume suggest sustained research funding and project leadership. Labs and Teams: As a leading researcher in AI and advanced computing, she is likely involved in or leads research groups focused on intelligent systems, deep learning, and multimodal AI at the University of West London, though specific lab names are not mentioned in the text.

• Cognitive Psychology
• Linguistics
• Cognitive Neuroscience
• +۷ مورد دیگر

Dr Ruth Corps is an Early Career Research Fellow in the School of Psychology at the University of Sheffield, affiliated with the Interdisciplinary Centre of the Social Sciences (ICOSS). Her research focuses on cognitive mechanisms underlying language comprehension, prediction in dialogue, and turn-taking coordination. She investigates how listeners and speakers use contextual and linguistic cues to anticipate and plan responses, with a particular interest in the interplay between content and timing predictions in real-time conversation. Her work employs methodologies such as eye-tracking, experimental psycholinguistics, and acoustic analysis to study topics like predictive processing in bilingual speakers, the role of repetition in lexical access, and the limitations of inter-speaker gaps in turn-taking timing. Recent findings challenge traditional assumptions about egocentric prediction and highlight the importance of semantic over form-based predictions in degraded speech comprehension. Ruth’s research also explores dual-task interference effects on turn-end prediction and the cognitive stages involved in response planning during question-answering. She has contributed to debates about replication in cognitive science, including a notable failure to replicate findings on word frequency effects in picture naming tasks. Her affiliations include the School of Psychology and ICOSS, where she collaborates on interdisciplinary projects. She holds a PhD in Cognitive Psychology and has published extensively on topics such as visual-world eye-tracking methodologies, bilingualism, and conversational dynamics.

Mark Sandlerمشاهده پروفایل

استاد

• Digital Signal Processing
• Machine Learning
• Deep Learning
• +۶ مورد دیگر

Mark Sandler is a Professor of Signal Processing and Director of the Centre for Digital Music at Queen Mary University of London. He leads the School of Electronic Engineering and Computer Science and contributes to the Centre for Multimodal AI. His work spans Digital Signal Processing, Machine Learning, and their applications in Audio and Music Technology, including source separation, neural audio synthesis, and physics-informed models. He has pioneered research in music informatics, sound synthesis, and AI-driven creativity. Awards include Fellowships from the Royal Academy of Engineering (FREng), IEEE (FIEEE), IET (FIET), and Audio Engineering Society (FAES). Research interests include audio segmentation, harmonic analysis, and interdisciplinary projects with computer vision. He has authored numerous publications on topics like neural synthesizers, knowledge distillation, and spatial audio systems. His contributions extend to semantic web technologies for music production and interactive audio applications. Current projects focus on low-latency synthesis, machine learning for music tagging, and adaptive audio systems. Awards and grants highlight leadership in digital music innovation. His academic roles include supervising research groups and directing interdisciplinary initiatives. The labs under his leadership include the Centre for Digital Music and collaborations with industry partners on audio engineering and immersive technologies.