جستجوی استاد راهنمای دانشگاهی

Gillian Hayes is the Vice Provost for Academic Personnel and a Chancellor’s Professor at the University of California, Irvine (UCI). She holds joint appointments in the Department of Informatics (Donald Bren School of Information and Computer Sciences), School of Education, and School of Medicine. Her research focuses on human-computer interaction, assistive technologies, and digital health interventions for children with ADHD and autism. She leads the STAR Group, which designs technologies to address real-world challenges in healthcare and education. Education: PhD in Computing from Georgia Tech, and degrees from Vanderbilt University. Professional roles include Vice Provost for Graduate Education, Dean of the Graduate Division, and faculty director of multiple programs, including the Master of Human Computer Interaction and Design. Research interests include child development, health informatics, and ethical technology deployment. Notable projects include the CERES initiative and work on smartwatch interventions for ADHD. Over 100 peer-reviewed publications and 6 books/chapters highlight her contributions. Scientific awards include NSF CAREER Award, ACM SIGCHI Academy, and recognition for teaching and innovation in accessibility. Advises graduate students in informatics, computer science, and education. Active in leadership roles at UCI and the Computing Research Association (CRA Board member). Labs/Teams: STAR Group, Intel Science and Technology Center (ISTC) collaborator, and co-founder of AVIAA and Tiwahe Technology. Focuses on interdisciplinary research with global collaborators.

• Human-Computer Interaction
• Ubiquitous Computing
• Assistive Technologies
• +۴ مورد دیگر

Maithilee Kunda is an Associate Professor in the Department of Computer Science and Computer Engineering at Vanderbilt University's School of Engineering. She leads the Laboratory for Artificial Intelligence and Visual Analogical Systems and co-leads the Vanderbilt Initiative for Autism, Innovation, and the Workforce. Her research focuses on AI-driven cognitive systems, particularly visual reasoning and technology applications for neurodiverse populations, including autism spectrum disorder. Dr. Kunda holds a B.S. in Mathematics with Computer Science from MIT (2007) and a Ph.D. in Computer Science from Georgia Tech (2013). She was honored as an MIT Technology Review Innovator Under 35 in 2016 for her groundbreaking work. Her research bridges computational models of visual thinking and real-world impact, emphasizing neurodiverse cognition. Notable projects include developing AI systems for autism-related social skills interventions, designing visual analogy problem-solving frameworks, and advancing nonverbal communication understanding in AI. Her work addresses challenges in abstract reasoning tasks (e.g., Raven's Matrices), visual imagery-based learning, and ethical AI integration. She advocates for inclusive technology design, leveraging both generative AI and cognitive principles to create human-centered solutions. Key awards: MIT Technology Review Innovator Under 35 (2016) Her labs focus on practical AI applications for education, healthcare, and workforce development, emphasizing interdisciplinary collaboration between engineering, psychology, and neuroscience.

• Artificial Intelligence
• Computational Cognitive Systems
• Visual Reasoning
• +۳ مورد دیگر

Alex Warstadt is an Assistant Professor at the University of California San Diego, holding appointments in the Department of Linguistics and the Halıcıoğlu Data Science Institute (HDSI). His research focuses on computational linguistics, applying advances in Large Language Models (LLMs) to understand human language acquisition, processing, and structure. Key contributions include developing the CoLA and BLiMP benchmarks for evaluating grammatical ability in LLMs, and the BabyLM Challenge to promote data-efficient language models. His work bridges theoretical linguistics, experimental methods, and computational modeling, particularly in pragmatics and discourse structure. Education: He earned B.A.s in Linguistics and Music Theory from Brown University and a Ph.D. in Linguistics from New York University (NYU), with a dissertation on 'Artificial Neural Networks as Models of Human Language Acquisition.' Postdoctoral work at ETH Zürich furthered his interdisciplinary research. He leads the LeM🍋N Lab at UC San Diego, which investigates language learning, meaning representation, and natural language processing through interdisciplinary collaboration. Research Interests: Warstadt’s research emphasizes leveraging machine learning to explore developmental linguistics, computational cognitive modeling, and pragmatic phenomena such as relevance and presupposition. His lab’s work aims to create models that align with human learning processes while advancing efficient NLP techniques. Recent projects include studying multimodal input effects and optimizing models for developmental plausibility. Labs/Teams: Director of the Learning, Meaning, and Natural Language (LeM🍋N) Lab, focusing on interdisciplinary research across linguistics, cognitive science, and data science.

• Computational Linguistics
• Natural Language Processing
• Cognitive Modeling
• +۵ مورد دیگر

Wesley Willett is an Associate Professor in the Department of Computer Science at the University of Calgary, holding the NSERC CRC II Chair in Visual Analytics. His primary research focuses on information visualization, human-computer interaction, and new media applications. He leads the Data Experience Lab and Interactions Lab, exploring innovative methods for data representation and interaction in augmented/virtual reality environments. Education includes a B.S. in Computer Science from the University of Colorado (2006) and a Ph.D. in Computer Science from UC Berkeley (2012). His work bridges technical innovation with user-centered design principles, emphasizing ethical considerations in data visualization and inclusive representation. Key research contributions include: spatial visualization techniques for large environments, gesture-based interfaces for AR/VR, and physical data representations through projects like Cetonia (swarm robotics visualization) and Data Embroidery. His work has been recognized with Best Paper awards at CHI 2015 and Pervasive 2010. Current research emphasizes immersive analytics, wearable visualization systems, and demographically diverse anthropographics. He collaborates with urban designers, neurologists, and environmental scientists to apply visualization in diverse domains like epilepsy surgery planning and air quality monitoring.

• Information visualization
• Human-computer interaction
• New media
• +۳ مورد دیگر

Jun Li is a Full Professor in the Department of Applied and Computational Mathematics and Statistics at the University of Notre Dame's College of Science. He specializes in developing statistical and computational methods for big data, with a focus on interdisciplinary applications in bioinformatics, machine learning, and data mining. His career includes tenure as an Assistant Professor (2012–2017) and promotion to Associate Professor (2017) before becoming Full Professor (2020). Dr. Li holds a Ph.D. in Statistics from Stanford University (2012), supervised by Robert Tibshirani, and earlier degrees from Tsinghua University: a B.E. in Automation (2004) and an M.S. in Pattern Recognition and Intelligent Systems (2007). Research Interests : Dr. Li’s work centers on advancing computational frameworks for handling large-scale datasets, integrating statistical rigor with algorithmic innovation. Recent themes include AI-driven code improvement, ethical LLM applications in HCI, and GUI automation. His methodologies emphasize human-AI collaboration and transparency in algorithmic systems. Publications : His 2025 work explores LLM vulnerabilities in GUI agents, AI-assisted education tools like GLITTER, and ethical challenges in HCI research. Earlier studies (2024–2023) address topics such as natural language database queries, privacy-preserving app promotion analysis, and multimodal task learning. Lab/Teams : Affiliated with Notre Dame’s computational statistics research groups, focusing on interdisciplinary projects bridging statistics, computer science, and applied mathematics. His work often involves collaborations with industry and academic partners to translate theoretical advancements into practical applications.

• Applied Statistics
• Bioinformatics
• Biostatistics
• +۴ مورد دیگر

Ronald E. Rice is a Distinguished Professor and Arthur N. Rupe Endowed Professor in the Department of Communication at the University of California, Santa Barbara. He has held visiting positions at Nanyang Technological University in Singapore and the University of Amsterdam. His research focuses on environmental communication, public communication campaigns, organizational theory, and digital technology impacts. He has authored/co-authored numerous books, including the Oxford Handbook of Digital Technology and Society . Education: Columbia University (B.A., English Literature, 1971), Stanford University (M.A. and Ph.D., Communication Research, 1978/1982). Professional roles include Department Chair at UCSB (2013–2015), Co-Director of the Carsey-Wolf Center, and President of the International Communication Association (2006–2007). Research interests span environmental communication, digital divide analysis, and organizational communication. Recent work examines media multitasking, online misinformation, and pro-environmental behavior drivers. Over 230 refereed articles and book chapters highlight his contributions to media effects and technology studies. Notable awards include the Honorary Doctorate from Université de Montréal (2010), ICA Fellowship, and Fulbright Scholarships. His research integrates interdisciplinary methods, emphasizing social networks, media affordances, and policy implications. Advising and grants include leadership in public health communication campaigns and environmental initiatives. Collaborations span global institutions, reflecting his commitment to applied research in digital society challenges.

• Environmental Communication
• Public Communication Campaigns
• Organizational Management Theory
• +۶ مورد دیگر

Sebastian Pokutta is a Professor at Technische Universität Berlin, Vice President at the Zuse Institute Berlin (ZIB), and Chair of the Cluster of Excellence MATH+ and MODAL. His research lies at the intersection of Artificial Intelligence, Optimization, and Machine Learning, with applications in sustainability, quantum computing, and mathematical discovery. Research Interests: Development of novel optimization algorithms, particularly Frank-Wolfe and Conditional Gradient methods. Integration of machine learning with decision-making and combinatorial optimization. AI for Science (AI4Science), including applications in quantum mechanics and ecology. AI and creativity, human-AI co-creativity, and social science modeling using multi-agent LLMs. His recent publications (2025) demonstrate a strong focus on scalable optimization, interpretability, and algorithmic foundations. The work spans theoretical advances in convergence analysis, practical implementations in Julia (FrankWolfe.jl), and real-world deployments in biomass estimation and quantum certification. Scientific Awards: Gödel Prize (2023) STOC Test of Time Award (2022) Science Prize of the Association for Pediatric Orthopedics (2025) Google Research Awards (2021, 2020) NSF CAREER Award (2015) He advises a vibrant research group, with former students and postdocs securing faculty positions at institutions like Inria, Carlos III University, and James Madison University. His group has received funding from Google, DFG, and Math+, and he leads major collaborative efforts such as the Thematic Einstein Semester on Mathematical Optimization for Machine Learning. Labs and Teams: Interactive Optimization and Learning Lab at TU Berlin and ZIB. Leadership in MODAL and MATH+ research clusters, fostering interdisciplinary collaboration in mathematical optimization and AI.

• Artificial Intelligence
• Optimization
• Machine Learning
• +۷ مورد دیگر

Ana Serrano is an Associate Professor at Universidad de Zaragoza, Spain, where she is affiliated with the Graphics & Imaging Lab in the EINA (Edificio Ada Byron) school. She earned her PhD at the same institution under the supervision of Prof. Diego Gutierrez and Prof. Belen Masia, and completed a postdoctoral fellowship at the Max-Planck-Institute for Informatics under Prof. Karol Myszkowski. Her research focuses on visual computing , particularly in computational imaging , material appearance perception and editing , and virtual reality . She is especially interested in developing perceptually-driven methods that leverage knowledge of the human perceptual system to enhance user experiences and assist content creation in immersive environments. Her recent publications (2023–2025) span top-tier venues such as SIGGRAPH, CVPR, IEEE TVCG, and Eurographics. These works explore topics like saliency prediction in 3D and 360° video, crossmodal perception in VR, gloss modeling, radiance fields, and perceptual evaluation of immersive content. The research demonstrates a strong integration of machine learning, human perception, and computer graphics to solve real-world problems in visual computing. She has received several prestigious awards, including: Eurographics 2023 Young Researcher Award VGTC VR 2024 Significant New Researcher Award Eurographics 2020 PhD Award Adobe Research Fellowship (honorable mention, 2017) NVIDIA Graduate Fellowship (2018) Ana Serrano actively supervises PhD and Master’s students and has taught courses such as Virtual Reality, Computational Imaging, and Deep Learning applications. She serves as an Associate Editor for Computer Graphics Forum , ACM Transactions on Applied Perception , and Computers and Graphics , and has held leadership roles in major conferences including Eurographics (Tutorials co-chair, 2023), ACM SAP (Program co-chair, 2022), and CEIG (Program co-chair, 2022). Her professional service includes extensive program committee and reviewer roles for SIGGRAPH, IEEE VR, ISMAR, and others. She leads a vibrant research group focused on human perception in virtual environments, with current projects on computational models of attention and perception, integrated with physiological signals. Her lab, the Graphics & Imaging Lab, fosters interdisciplinary collaboration and innovation in visual computing.

• Visual Computing
• Computational Imaging
• Material Appearance Perception
• +۷ مورد دیگر

Larry Heck is a Professor at the Georgia Institute of Technology with joint appointments in the School of Electrical and Computer Engineering and the School of Interactive Computing. He holds the Rhesa S. Farmer Advanced Computing Concepts Chair and is a Georgia Research Alliance Eminent Scholar. His research focuses on machine learning, deep learning, natural language processing, conversational systems, and speech/speaker recognition. He directs the AI Virtual Assistant (AVA) Lab, advancing next-generation AI assistants. Dr. Heck has held leadership roles in industry, including at Microsoft, Google, Samsung, and Viv Labs, and has over 50 U.S. patents. Education: BSEE from Texas Tech University (1986) MSEE and PhD in Electrical Engineering from Georgia Tech (1991) Research Interests: Dr. Heck’s work bridges machine learning and human-centric AI, with emphasis on conversational systems, multimodal interaction, and real-world applications. His AVA Lab develops AI assistants that integrate visual, auditory, and contextual cues for natural interaction. Recent projects include multimodal sensor integration, dialogue systems for caregiving networks, and embodied AI for avatar animation. Awards: IEEE Fellow (2020) Academy of Distinguished Engineering Alumni, Georgia Tech (2017) Distinguished Engineer Award, Texas Tech University (2017) Advising & Grants: While primarily focused on industry collaboration, Dr. Heck mentors students through Georgia Tech’s interdisciplinary programs. His research is funded by government agencies and corporate partnerships, including the NSA and DARPA. Labs & Teams: The AVA Lab collaborates with academia and industry to create AI systems that understand context, gestures, and environment. Current initiatives include multimodal dialogue datasets (e.g., OKCV, SensorQA) and reinforcement learning frameworks for real-time systems.

• Machine Learning
• Deep Learning
• Natural Language Processing
• +۵ مورد دیگر

Richard Wong is an Assistant Teaching Professor in the Department of Mathematics at Rice University. Prior to this role, he was a postdoc in the algebraic topology group at UCLA. He earned his Ph.D. in Mathematics from the University of Texas at Austin in 2021 under the advisement of Andrew Blumberg, and holds a B.S. in Mathematics (highest honors) from Rutgers University (2015) with a minor in cognitive science. His research focuses on computations in equivariant and stable homotopy theory, particularly applying these methods to modular representation theory of finite groups. Teaching is a central part of his work, emphasizing inclusive and equitable practices. Notably, he received the Liggett Instructor Award for teaching and was a Project NExT Fellow. He has organized undergraduate colloquia and contributed to outreach initiatives like the Summer BRIDGE Program and the Mathematicians of Color Alliance of Texas (MOCAT). His efforts to promote diversity in mathematics include mentoring underrepresented students and delivering expository talks on topics like algebraic topology.

• Algebraic Topology
• Homotopy Theory
• Stable Homotopy Theory
• +۳ مورد دیگر

Professor Christian F. Doeller is a leading cognitive neuroscientist serving as Director of the Department of Psychology at the Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS) in Leipzig and Vice President of the Max Planck Society (since 2023). His roles include honorary professorships at the University of Leipzig (2019) and TU Dresden (Cognitive Neuroscience of Learning and Memory). He holds a PhD in Psychology from Saarland University (2005) and has held positions at institutions such as UCL (London), Radboud University (Nijmegen), and NTNU (Trondheim). His research focuses on spatial navigation, memory systems, and cognitive mapping in the human brain, leveraging neuroimaging (fMRI, EEG) and computational modeling. Key areas include hippocampal/entorhinal cortical function, grid cells, and the neural basis of spatial and conceptual representations. Recent work explores non-Euclidean spatial cognition, value-based decision making using grid-like maps, and hormonal influences on navigation. His lab combines experimental psychology, neuroimaging, and theoretical neuroscience to understand how brains build predictive models of environments and concepts. Publications emphasize cognitive maps, neural representations of space/value, and memory formation mechanisms. Over 100 journal articles span high-impact journals like Nature Neuroscience , Neuron , and Current Biology . His work bridges basic research and translational applications in neurodegenerative disorders and spatial cognition deficits.

• Cognitive Neuroscience
• Memory Psychology
• Spatial Navigation
• +۶ مورد دیگر

Frank Russo is a Professor in the Department of Psychology at Toronto Metropolitan University, where he holds the NSERC-Sonova Senior Research Chair in Auditory Cognitive Neuroscience. He leads the Science of Music Auditory Research and Technology (SMART) Lab and holds affiliate and adjunct positions at the University Health Network and the University of Toronto, respectively. Research Interests: Dr. Russo's work lies at the intersection of auditory cognitive neuroscience, music psychology, and rehabilitation. His research explores how humans perceive music and speech, particularly under challenging conditions such as hearing loss or non-native accents. He investigates the cognitive and neural mechanisms of listening effort, emotional speech processing, and the social and therapeutic benefits of music, especially through community choirs and digital interventions. Publication Trends: His recent publications emphasize objective measurement of listening effort using functional near-infrared spectroscopy (fNIRS), music-based interventions for Parkinson’s disease and dementia, vocal and emotional responses to singing, and multisensory integration in beat perception. The work is highly translational, bridging basic cognitive neuroscience with clinical and community applications. Scientific Awards and Honors: NSERC-Sonova Senior Research Chair in Auditory Cognitive Neuroscience Fellow of the Canadian Psychological Association Fellow of Massey College Fellow of the Canadian Society for Brain, Behavior and Cognitive Science Past President of the Canadian Acoustical Association Advising and Grants: Dr. Russo actively mentors students and researchers, as evidenced by his co-authorship with numerous junior colleagues. He has secured major funding through NSERC and industry partnerships, enabling the development of impactful technologies such as hearing aid algorithms, sensory substitution systems, and digital therapeutics. His SingWell project fosters collaboration across academic, clinical, and community sectors. Labs and Teams: He directs the SMART Lab at Toronto Metropolitan University, a hub for interdisciplinary research on music, hearing, and cognition. The lab collaborates extensively with KITE Research Institute, Rehabilitation Sciences at the University of Toronto, and various community organizations focused on aging, hearing loss, and neurodegenerative conditions.

• Auditory Cognitive Neuroscience
• Music Psychology
• Music Medicine
• +۱۲ مورد دیگر

Dr. David Sewell is a Senior Lecturer and Deputy Head of School (Teaching & Learning) at the School of Psychology, The University of Queensland. His research focuses on attention, learning, memory, and decision-making, with a strong emphasis on formal mathematical models of human cognition. He is affiliated with the Centre for Perception and Cognitive Neuroscience within the Faculty of Health, Medicine and Behavioural Sciences. Education: Bachelor (Honours) of Arts and Doctor of Philosophy, both from the University of Western Australia. David's research explores the intersection of cognitive psychology and computational modeling. Key areas include perceptual decision-making, attentional mechanisms, and the application of diffusion models to understand cognitive processes. His work also extends to sustainability and collective self-regulation through cognitive frameworks. The 15 most recent articles highlight his contributions to modeling decision thresholds in memory prioritization, analyzing gaze cueing effects, and investigating neural correlates of confidence in multisensory decisions. Collaborative projects frequently involve interdisciplinary approaches, combining neuroscience, psychology, and computational methods. He has supervised multiple PhD candidates, serving as Principal or Associate Advisor, with research topics ranging from visual categorization to metacognition in children. Current and past funding includes ARC Discovery Projects on collective self-regulation and category learning constraints.

• Attention
• Learning
• Memory
• +۷ مورد دیگر

Alexander Müller-Rakow is a Researcher and PhD Candidate at the Design Research Lab at Berlin University of the Arts. His work explores the interplay between embodied interfaces , digital sovereignty , and social design , focusing on bodily movements as a medium for musical and interactive technologies. Education: Industrial and Interaction Design (University of Applied Science Magdeburg, University of Bergen) Current Roles: Research Scientist (Design Research Lab), Lecturer (Hochschule für Kunste Bremen, others) His research spans haptic technology , textile-integrated sensors , and experimental interfaces , often intersecting with digital justice and material interactions . Early-career publications include collaborations on capacitive sensing and urban design interventions , reflecting his interdisciplinary approach. As part of the Design Research Lab, he contributes to projects addressing inclusive digital futures , smart urban mobility , and collaborative tools , aligning with the lab's mission for ecologically sustainable design .

• Human-Computer Interaction
• Embodied Interfaces
• Digital Sovereignty
• +۴ مورد دیگر

Catherine Stinson is an Assistant Professor and Queen’s National Scholar in Philosophical Implications of Artificial Intelligence at Queen's University. She holds joint appointments in the School of Computing and the Philosophy Department, blending technical and philosophical expertise to address ethical challenges in AI. PhD in History & Philosophy of Science, University of Pittsburgh (2013) MSc in Computer Science, University of Toronto (2013) Dr. Stinson's research focuses on methodological and ethical dimensions of artificial intelligence, including: Bias and explanation in machine learning Computational psychiatry Embodied intelligence Community-led design AI ethics education Her recent publications analyze corporate influence in NLP, privacy implications of large language models, and documentation practices in AI datasets. They explore intersections between technical performance, ethical responsibility, and societal impact. Scientific awards include: Queen’s National Scholar Finalist for Outstanding Certification at Transactions in Machine Learning Research As director of the Ethics and Technology Lab at Queen's, she leads interdisciplinary projects challenging algorithmic bias, investigating AI creativity, and developing tools to resist targeted violence. Current initiatives include: Critical evaluation of chatbots for mental health support Tracking (In)justice project on police-involved deaths in Canada

• Artificial Intelligence
• Machine Learning Ethics
• Computational Psychiatry
• +۴ مورد دیگر