جست‌وجوی استاد و پژوهشگر

Martin Schrimpfمشاهده پروفایل

استادیار

• neuroAI
• computational neuroscience
• computer vision
• +۵ مورد دیگر

Professor Martin Schrimpf is a Tenure Track Assistant Professor at EPFL, holding dual appointments in the School of Life Sciences (SV) and the School of Computer and Communication Sciences (IC). His research bridges computational neuroscience, deep learning, and cognitive science to model human natural intelligence in vision and language. He leads the NeuroAI Lab, focusing on aligning artificial neural networks with brain mechanisms and human behavior. Education: PhD in Brain and Cognitive Sciences from MIT (2017–2022), MSc in Software Engineering from TUM/LMU/UNA (2014–2017), and BSc in Information Systems from TUM (2011–2014). His work has been recognized with awards including the Neuro-Irv Open Science Prize, McGovern Fellowship, and Takeda AI+Health Fellowship. He co-founded Integreat, a social impact startup recognized with Google.org’s Impact Challenge and TUM’s Social Impact Award. Research interests include neuroAI, brain-like models, and clinical translation (e.g., visual prosthetics). He has published in top venues like Neuron, Nature Human Behavior, NeurIPS, and ICLR. Current projects involve developing topographic language models (TopoLM) and investigating causal language network interactions using LLMs. Teaching: Courses include Neuroscience Foundations for Engineers and Brain-like Computation and Intelligence . Supervised over 26 students, including PhD candidates Badr Alkhamissi, Ben Lönnqvist, and Yingtian Tang. Active in grants from SNSF, NeuroX, and EPFL’s AI Center. Labs/Teams: NeuroAI Lab at EPFL Neuro-X Institute. Future directions include advancing brain-inspired models for clinical applications and expanding interdisciplinary collaborations between neuroscience and AI.

Georgia Zellouمشاهده پروفایل

دانشیار

• Phonetics
• Speech Perception
• Laboratory Phonology
• +۳ مورد دیگر

Georgia Zellou is an Associate Professor in the Department of Linguistics at the University of California, Davis, where she co-directs the Phonetics Lab and conducts award-winning research at the intersection of phonetics, speech perception, and human-AI interaction. Her work investigates how phonetic detail is cognitively represented through variations in speech production, with significant contributions to understanding speech alignment with voice assistants, face-masked speech intelligibility, and cross-linguistic perception of synthetic voices. Her academic credentials include a Ph.D. in Linguistics from the University of Colorado at Boulder (2012), an M.A. in Linguistics from Stony Brook University (2007), and a B.A. in Linguistics & Anthropology from the University of Florida (2005, Cum Laude, Phi Beta Kappa). Ph.D., Linguistics, University of Colorado at Boulder (2012) M.A., Linguistics, Stony Brook University (2007) B.A., Linguistics & Anthropology, University of Florida (2005) Professor Zellou's research program centers on laboratory phonology approaches to real-world communication challenges, examining how acoustic-phonetic details influence speech perception across contexts. Her studies span speech alignment with voice-AI systems (e.g., Amazon Alexa), sociophonetic variation in bilingual speech, and the cognitive mechanisms underlying perceptual compensation for coarticulation. She employs experimental methods including eye-tracking, acoustic analysis, and perceptual testing to uncover how phonetic variation functions pragmatically in human communication and human-machine interaction. Analysis of her 15 most recent publications (2023-2025) reveals three dominant research trajectories: (1) human-AI voice interaction dynamics, including prosodic alignment and social evaluation of TTS voices; (2) intelligibility optimization in challenging contexts (face masks, clear speech for diverse listeners); and (3) cross-linguistic phonetic variation in vowelless words and consonant clusters. These works consistently bridge theoretical phonology with applied speech technology, demonstrating how fine-grained phonetic detail influences communication effectiveness in both human-human and human-machine contexts. Her scientific recognition includes: Fulbright Scholar (2022) for research in France Chancellor’s Award for Excellence in Undergraduate Mentoring (2019) Fellow of the Linguistic Society of America (2020) Amazon Faculty Research Award (2019) for Alexa-related speech studies Dean’s Fellow designation at UC Davis (2020-2023) Professor Zellou maintains an active mentoring practice recognized with the Chancellor’s Award, supervising undergraduate researchers in the Phonetics Lab while teaching core linguistics courses from introductory to advanced graduate levels. Her research program is supported by competitive grants including NSF funding, Amazon Research Awards, and UC Davis internal grants (Hellman Foundation, ISS Junior Faculty Grant), reflecting the translational value of her work for speech technology development. She has co-directed major initiatives including the 2019 LSA Linguistic Institute. The Phonetics Lab she co-leads serves as a hub for experimental phonetics research, focusing on speech production-perception relationships through projects investigating vocal accommodation to voice assistants, nasal coarticulation dynamics, and cross-linguistic prosody. Current collaborations with industry partners aim to implement human speech adaptation principles into voice assistant design to enhance naturalness and engagement.

Adam Finkelsteinمشاهده پروفایل

استاد

• Computer Science
• Audio Processing
• Image Processing
• +۳ مورد دیگر

Adam Finkelstein is a Professor in the Department of Computer Science at Princeton University, where he has been a faculty member since 1997. He holds a PhD and Master's in Computer Science from the University of Washington and a dual degree in Physics and Computer Science from Swarthmore College. Finkelstein is renowned for his interdisciplinary work at the intersection of computer graphics, audio processing, and machine learning, and he co-organized the Art of Science exhibition at Princeton. Education: PhD, Computer Science, University of Washington MS, Computer Science, University of Washington BA, Physics and Computer Science, Swarthmore College His research spans audio processing (e.g., speech enhancement, voice conversion, audio metrics), computer graphics (e.g., line drawing algorithms, stylized rendering, image manipulation), and machine learning (e.g., self-supervised learning, differentiable programming). His work often bridges technical and creative domains, exemplified by collaborations at Pixar and Adobe Creative Technologies Lab. Recent publications highlight advancements in audio super-resolution and voice conversion using deep learning frameworks, as well as stylized line rendering for animated 3D models. His contributions to perceptual audio metrics and shader optimization further underscore his impact on human-centric computational systems. Scientific Awards: NSF CAREER Award Alfred P. Sloan Fellowship Fellow of the Association for Computing Machinery (ACM) Finkelstein has secured foundational grants for his research and actively mentors students, though no specific advisees are listed. He also explores collaborative tools for internet music performance, reflecting his broader interest in distributed systems and user interfaces.

Ato Quaysonمشاهده پروفایل

استاد

• African Literature
• Postcolonial Literature
• Shakespeare Studies
• +۱۰ مورد دیگر

Ato Quayson is the Jean G. and Morris M. Doyle Professor of Interdisciplinary Studies and Professor of English and African and African American Studies at Stanford University, where he also chairs the Department of African and African American Studies. He previously held professorships at New York University (2017–2019) and the University of Toronto (2005–2017), where he was inaugural director of the Centre for Diaspora and Transnational Studies and became a University Professor (2016), the university's highest honor. His academic journey includes a B.A. (First Class Honors) in English and Arabic from the University of Ghana (1989) and a Ph.D. in English from the University of Cambridge (1995). He held a Junior Research Fellowship at Wolfson College, Oxford, and was a Reader in Commonwealth and Postcolonial Literature at Cambridge (1995–2005), concurrently directing the Centre for African Studies and serving as Pembroke College Fellow. Quayson’s research explores postcolonial literature, urban studies, disability studies, and cultural theory. His work bridges global and local contexts, with notable publications such as Oxford Street, Accra (Urban History Association Prize) and Tragedy and Postcolonial Literature (Warren-Brooks Prize). He co-edits the Cambridge History of Postcolonial Literature and chairs initiatives like Contours: The Cambridge Literary Studies Hour . His accolades include fellowships from the Ghana Academy of Arts and Sciences (2006), the Royal Society of Canada (2013), the British Academy (2019), and the American Academy of Arts and Sciences (2023). He has also served as President of the African Studies Association (2019–2020). Quayson curates the YouTube channel Critic.Reading.Writing , discussing literature and urban studies, and teaches courses on global Black diaspora studies and Toni Morrison’s work. His current projects include Accra Chic: A Locational History of Fashion and studies on exile in African literature.

Alison Braley-Rattaiمشاهده پروفایل

دانشیار

• Labour Law
• Employment Law
• Human Rights in the Workplace
• +۳ مورد دیگر

Dr. Alison Braley-Rattai is an Associate Professor in the Department of Labour Studies at Brock University. Her research focuses on labour rights, employment law, and human rights in the workplace, with a particular emphasis on the intersection of labour policies and constitutional rights. She holds a PhD from the University of Western Ontario, an LLM from Osgoode Hall, an MA from York University, and a BA (Hons) from York University. Her work explores topics such as union responses to workplace mandates, constitutional challenges to back-to-work legislation, and the legal contours of academic freedom. She has published extensively on issues like the right to strike, pandemic-related labour policies, and the impact of political shifts on labour relations. Dr. Braley-Rattai’s scholarship bridges legal frameworks, policy analysis, and real-world labour dynamics. Her recent articles highlight trends in pandemic-era workplace policies, constitutional implications of labour disputes, and the evolving role of minority unionism. She actively contributes to debates on balancing employer obligations with worker rights, particularly in contexts like vaccination mandates and free speech directives.

WonSook Leeمشاهده پروفایل

استاد

• Medical Imaging
• Machine Learning
• Deep Learning
• +۴ مورد دیگر

WonSook Lee is a tenured Full Professor in the School of Electrical Engineering and Computer Science at the University of Ottawa’s Faculty of Engineering. Her expertise spans medical imaging, machine/deep learning, computer graphics, and computer vision. She earned her Ph.D. in Computer Science from the University of Geneva (Switzerland) and holds degrees from POSTECH (Korea) and NUS (Singapore). Before academia, she worked at Korea Telecom, Samsung Advanced Institute of Technology, and Eyematic Interfaces Inc. (USA). Her research focuses on applications such as virtual/augmented reality, MRI/CT/Ultrasound analysis, and 3D mesh modeling. She has authored over 130 publications, including 30+ journal papers, and serves on conference committees and editorial boards. Lee has secured major grants (NSERC, CFI, ORF) as Principal Investigator and contributed to global initiatives like South Korea’s National Research Foundation. Her lab explores cutting-edge techniques in medical imaging, AI-driven object detection, and multimodal systems. Notable projects include adversarial perturbation analysis for model robustness, cross-domain GANs for semantic segmentation, and real-time ultrasound-enhanced pronunciation training. She actively promotes interdisciplinary research in healthcare technology and autonomous systems.

• Neurolinguistics
• Computational Linguistics
• Psycholinguistics
• +۴ مورد دیگر

Jon Brennan is an Assistant Professor in the Department of Linguistics at the University of Michigan, affiliated with the College of Literature, Science, and the Arts (LSA). His research focuses on neurolinguistics, computational linguistics, and psycholinguistics, particularly investigating how the brain processes language structure and meaning. He leads the Computational Neurolinguistics Lab, which develops neurocomputational models to study language comprehension mechanisms. Brennan received an NSF Grant for collaborative research with Christophe Pallier (Paris) on neurocomputational models of natural language processing. His work integrates EEG, fMRI, and MEG techniques to decode linguistic features in neural signals. Key research areas include syntax-semantics interfaces, multilingual processing, and developmental disorders like dyslexia. Notable contributions include studies on hierarchical syntactic structure, minimal pairs in language models, and neural correlates of theory of mind in children. Brennan collaborates internationally, exemplified by the US-French NSF-CRCNS grant. He has published extensively on topics like neural decoding of grammatical features, LLM internal representations, and bilingual processing mechanisms. Scientific awards include the NSF Collaborative Research in Computational Neuroscience (CRCNS) Grant (2016). His research bridges computational modeling and experimental neuroscience, aiming to reveal how language mechanisms are implemented in neural systems.

• Mobile Robotics
• Underwater Robotics
• Autonomous Systems
• +۴ مورد دیگر

John Folkesson is an Associate Professor at the Department of Robotics, Perception and Learning at KTH Royal Institute of Technology. His research focuses on mobile robotics, underwater autonomous vehicles (AUVs), and Simultaneous Localization and Mapping (SLAM), particularly addressing challenges in dynamic underwater environments. He leads the AUV group within the Swedish Maritime Robotics Centre (SMaRC2.0) and supervises multiple PhD projects, including those funded by Ocean Infinity and Vinnova. Folkesson has pioneered work on sonar-based SLAM, bathymetric mapping, and autonomous underwater navigation without human intervention. He teaches courses such as Probabilistic Graphical Models (DD2420) and Applied Estimation (EL2320). Recent projects include developing neural rendering techniques for sidescan SLAM and automatic launch systems for AUVs in collaboration with Purdue University and SAAB. His research emphasizes long-term autonomy, environmental ambiguity, and sensor data interpretation in unstructured underwater scenarios. Education: PhD in Robotics (2005, KTH Royal Institute of Technology) Recent Funding: 2024 projects include ALARS (Vinnova), WASP WARA-PS, and industrial collaborations. Research Interests Folkesson's work spans underwater robotics, SLAM algorithms, and sensor fusion. Key areas include: Underwater SLAM and sonar modeling Bathymetric reconstruction using neural networks Autonomous decision-making in AUV missions Real-time terrain modeling and localization Articles Trends Recent publications emphasize neural networks for SLAM optimization, sonar data processing, and autonomous underwater systems. Themes include real-time bathymetric mapping, sensor fusion in dynamic environments, and neural rendering techniques for improving navigation accuracy. Folkesson's work bridges theory and practice, with applications in marine robotics and industrial surveys. Advising & Grants PhD supervision: AUV perception (2024), SLAM with Ocean Infinity, event-response AUV systems. Collaborations: Purdue University, SAAB, Ocean Infinity. Course responsibilities: Over 10 advanced robotics and engineering courses at KTH. Labs & Teams Lead of SMaRC2.0, KTH's official research center for maritime robotics. Active in developing AUV systems for long-duration missions, including ice-covered and deep-sea exploration.

Mahmoud El-Sakkaمشاهده پروفایل

دانشیار

• Image Compression
• Medical Imaging
• Image Segmentation
• +۵ مورد دیگر

Mahmoud El-Sakka is an Associate Professor at the Department of Computer Science, University of Western Ontario since 1999. Previously, he was a faculty member at the University of Waterloo (1997–1999). He holds a B.Sc. and M.Sc. from Alexandria University (Egypt) and a Ph.D. in Systems Design Engineering from the University of Waterloo. His research focuses on medical imaging, image processing, and computer-aided diagnostics. He has served as Chair of the graduate program (2002–2007) and undergraduate program (2017–present) in Computer Science at Western Ontario. El-Sakka is a Senior Member of the IEEE and a licensed Professional Engineer in Ontario. His work spans grants from NSERC, internal university funding, and industry collaborations. Major research areas include image compression, segmentation, and medical applications like vascular analysis and echocardiography. He has led over 20 funded projects since 1999, emphasizing interdisciplinary approaches in healthcare technology. Academic contributions include advisory roles in summer programs, thesis evaluations, and conference participation. His service includes roles as Pro-Chancellor at convocations and involvement in equipment purchasing committees. Collaborations include consulting with NCR Canada and VRP Web Technology.

• Plastic and Reconstructive Surgery
• Breast Reconstruction
• Women’s Health
• +۵ مورد دیگر

Dr. Regina Y. Baker is a Clinical Associate Professor of Surgery in the Division of Plastic and Reconstructive Surgery at the Keck School of Medicine of USC. She holds faculty positions at USC University Hospital, USC/Norris Comprehensive Cancer Center, LAC-USC Medical Center, Huntington Memorial Hospital, and Childrens Hospital of Los Angeles. Her clinical expertise spans breast reconstruction, adolescent breast surgery, body contouring, complex reconstructive surgery, and aesthetic surgery, with a focus on women’s health. She founded the Adolescent Breast Center (ABC) at Childrens Hospital of Los Angeles, addressing congenital and adolescent breast disorders, and leads burn reconstruction efforts at the Southern California Regional Burn Center. Education: MD from Keck School of Medicine, followed by plastic surgery residency at USC. Teaching: Actively involved in mentoring medical students and residents. Her research interests include surgical innovations in reconstructive procedures, wound healing, and regenerative medicine. Dr. Baker’s publications reflect her contributions to breast surgery techniques, stem cell applications, and laser technology in medicine. Awards: Recognized as one of Pasadena Magazine’s Top Doctors in 2010. She collaborates with USC bariatric surgeons to offer post-weight loss body contouring and maintains affiliations across multiple top-tier medical institutions.

Ronald G. Larsonمشاهده پروفایل

استاد

• Complex Fluids
• Fluid Mechanics
• Polymer Physics
• +۶ مورد دیگر

Ronald G. Larson serves as the George Granger Brown Professor of Chemical Engineering and A. H. White Distinguished University Professor at the University of Michigan's College of Engineering, with additional appointments in Mechanical Engineering and Macromolecular Science & Engineering. His research leadership spans multiple departments within the Chemical Engineering Division, where he directs the Larson Lab focused on fundamental and applied soft matter physics. His research program investigates complex fluids through computational and theoretical frameworks, emphasizing polymer physics, rheology, and molecular simulations. Key thrusts include polymer melt processing, biomembrane dynamics, colloidal systems, and polyelectrolyte coacervation. The group employs advanced techniques like Brownian dynamics, coarse-grained modeling, and multiscale simulation to address challenges ranging from industrial polymer processing to biomedical applications. Recent publications (2023-2025) reveal strong momentum in rheological modeling of complex fluids, with particular emphasis on self-healing materials, wax deposition in pipelines, and crystallization mechanisms. The work bridges fundamental molecular insights with industrial applications, demonstrating consistent high-impact output across polymer science, soft matter physics, and chemical engineering domains. The Larson Lab operates as a collaborative hub within the Chemical Engineering Department, leveraging computational resources to advance understanding of fluid mechanics and material properties. Current projects integrate machine learning with traditional modeling approaches, reflecting the group's commitment to methodological innovation while maintaining strong connections to experimental validation and real-world engineering problems.

Brian Robertsمشاهده پروفایل

استاد

• Auditory Perception
• Auditory Scene Analysis
• Speech Perception
• +۵ مورد دیگر

Brian Roberts is a Professor at Aston University's School of Psychology within the College of Health and Life Sciences. His primary research focuses on auditory perception, particularly auditory scene analysis and speech perception. He holds a PhD in Experimental Psychology (Auditory Perception) from the University of Cambridge (1989) and has held academic positions at the University of Birmingham (1993-2001) and Aston University since 2005. His work explores perceptual grouping mechanisms, cochlear implant listening, and the neural bases of auditory phenomena. Affiliations: Cognition & Neuroscience Research Group (CNRG), Centre for Vision and Hearing Research Employment History: Reader at University of Birmingham (2001), Senior Lecturer (1999), Lecturer (1993) Research interests include auditory stream segregation, formant analysis, and the effects of stimulus properties on perceptual organization. He has collaborated internationally, including visiting appointments at Macquarie University (2019) and the University of British Columbia (2011). Notable achievements include being elected a Fellow of the Acoustical Society of America (2009). Recent publications investigate factors influencing stream segregation (2024), asymmetric timbre effects (2023), and lexical bias in consonant identification (2022). Current projects explore sudden changes in auditory stimuli and their impact on perceptual grouping. Grants & Funding: Extensive research grants supporting auditory perception studies (details not explicitly listed) Supervised Work: 4 documented supervisees, though names not provided Labs/Teams: Active in the Auditory Perception Laboratory at Aston University, focusing on psychophysical and computational modeling approaches.

Felicitas Kleberمشاهده پروفایل

استاد

• experimental phonetics
• laboratory phonology
• speech production and perception
• +۷ مورد دیگر

Felicitas Kleber is Professor of Speech Science in the Department of Language Science and Technology at Saarland University (Universität des Saarlandes). Her research profile demonstrates extensive expertise in experimental phonetics and laboratory phonology with a particular focus on German dialects and sound change phenomena. She maintains active research collaborations, most notably with J. Harrington and Ulrich Reubold, resulting in numerous high-impact publications in leading linguistics and phonetics journals. Her research interests span experimental phonetics and laboratory phonology with specific expertise in speech production and perception , sound change processes, German dialectology , phonological acquisition , and prosody and intonation analysis. Her work frequently examines the acoustic, perceptual, and articulatory dimensions of speech, particularly focusing on vowel and consonant quantity phenomena in German varieties. Analysis of her publication record reveals consistent methodological rigor with emphasis on acoustic analysis, perception experiments, and longitudinal studies. Her research often investigates sound changes in progress, particularly examining vowel fronting phenomena in both German and English varieties, and the relationship between speech production and perception mechanisms. Much of her work employs apparent-time analyses to track diachronic changes through synchronic variation across age groups. Professor Kleber serves as an Associate editor for the Journal of the Acoustical Society of America, reflecting her standing in the field. She has secured significant research funding including the DFG-funded project "Typology of vowel and consonant quantity in South German varieties: acoustic, auditory, and articulatory analyses of adult and child speakers" (2016-2024) and the DAAD-supported "Form and function of prosodic structure in Hungarian and German" (2015-2016). Her research methodology typically combines acoustic analysis with perception experiments and sometimes articulatory measurements to provide comprehensive insights into phonetic phenomena.

• Computer Graphics
• Computer Vision
• Multimedia Communications
• +۷ مورد دیگر

Anup Basu is a Professor in the Department of Computing Science at the University of Alberta. His research focuses on computer graphics, computer vision, and multimedia communications. He holds an B.S. in Math & Statistics from the Indian Statistical Institute (1980), an M.E. in Computer Science from the Indian Statistical Institute (1983), and a Ph.D. in Computing Science from the University of Maryland (1990). His work emphasizes Quality of Service (QoS) in multimedia delivery for e-commerce and telelearning, adaptive bandwidth monitoring, and 3D visualization tools. He pioneered foveated image compression and stereo visualization techniques, contributing to MPEG-4 coding standards. He leads major initiatives like the ASRA/TelePhotogenics/IBM 3D Medical Imaging project ($2M+ funding) and developed patented SHR Stereo/3D scanning technologies. Awards include the American Neurological Association Fellowship. He has held leadership roles as General Chair for IEEE International Conferences on SMC (2017), Multimedia & Expo (2013), and SMC (2014). His research integrates interdisciplinary collaborations across universities and industry partners, leveraging advanced equipment like the CAVE system for immersive visualization.

Hirokatsu Kataokaمشاهده پروفایل

پژوهشگر

• Computer Vision
• Deep Learning
• Artificial Intelligence
• +۵ مورد دیگر

Hirokatsu Kataoka serves as Chief Senior Researcher at the National Institute of Advanced Industrial Science and Technology (AIST) in Japan, with multiple academic affiliations including Academic Visitor at the Visual Geometry Group (VGG) at University of Oxford, Visiting Associate Professor at Keio University, and Adjunct Associate Professor at Tokyo Denki University. He is Principal Investigator of both cvpaper.challenge and LIMIT.Lab, and serves as Research Advisor for SB Intuitions. Dr. Kataoka earned his Ph.D. in Engineering from Keio University (April 2011 - March 2014), where he received the Fujiwara Prize in 2014 as valedictorian equivalent. His research primarily focuses on innovative pre-training methodologies that eliminate dependency on natural image datasets, with his Formula-Driven Supervised Learning (FDSL) framework being particularly influential in the field. Kataoka's research interests center around representation learning with limited data resources, including zero-shot, unsupervised, and synthetic learning approaches. His work explores how visual/multimodal models can be effectively trained with minimal real-world data, addressing critical ethical concerns related to large-scale datasets. He has pioneered methods using fractal geometry, mathematical formulas, and procedural generation to create effective pre-training frameworks that rival traditional ImageNet-based approaches. His publication record shows a clear trajectory toward solving the challenges of learning with limited resources, with recent work expanding FDSL to audio processing, microfossil analysis, and visible-to-infrared translation. His papers consistently address the core challenge of building robust visual recognition systems without relying on massive annotated datasets, with increasing focus on practical applications across diverse domains. Scientific Awards & Recognition ACCV 2020 Best Paper Honorable Mention Award for 'Pre-training without Natural Images' AIST Best Paper Award (2019, 2022) BMVC 2023 Best Industry Paper Finalist Featured in MIT Technology Review His 3D ResNets paper ranks among the top 0.5% most-cited CVPR papers over a five-year period Dr. Kataoka actively advises numerous researchers across multiple institutions, with his research team comprising Ph.D. and Master's students from various universities. He has served as Area Chair for CVPR 2024 and 2025, will serve as IEEE TPAMI Associate Editor beginning in 2025, and organizes the LIMIT Workshop series at major computer vision conferences. His LIMIT.Lab, established in June 2025, serves as a collaboration hub focused on building multimodal AI models under constrained resources including compute, data, and labels.