جستجوی استاد راهنمای دانشگاهی

Chris Volinskyمشاهده پروفایل

استاد بالینی

• Data Science
• Machine Learning
• Recommender Systems
• +۱۲ مورد دیگر

Chris Volinsky is a Clinical Professor of Technology, Operations, and Statistics at the Leonard N. Stern School of Business, New York University, joining in September 2023. His work bridges industry-scale data science and academic research, focusing on practical applications of machine learning and statistical modeling in business contexts. Education: PhD in Statistics, University of Washington BA in Statistics and Mathematics, University of Buffalo His research interests lie at the intersection of data science and business operations, with a focus on recommender systems , personalization , social network analysis , and mitigating bias in machine learning models . He also emphasizes data visualization and the ethical implications of data usage, particularly in balancing innovation with privacy concerns and regulatory compliance. While no specific publications are listed in the provided text, his career has been defined by high-impact, real-world applications of data science, particularly in telecommunications and entertainment industries. Scientific Awards: $1M Netflix Prize (2009) as member of BellKor's Pragmatic Chaos team Volinsky has extensive experience in advising and leading data science teams. He led a team of 40 data scientists at AT&T, where he oversaw projects with significant business impact, including fraud detection, customer complaint prediction, and computer vision applications. Although formal student advising is not detailed, his leadership roles imply substantial mentorship and team development. He has not disclosed specific grants, but his work at AT&T and NYU suggests engagement with large-scale, industry-funded research initiatives. He was instrumental in pioneering work on large-scale recommender systems and continues to contribute to the evolution of data-driven decision-making in enterprise settings.

• Media Psychology
• Social Media Effects
• Adolescent Development
• +۵ مورد دیگر

Laura Vandenbosch is a Senior Lecturer at KU Leuven's Faculty of Social Sciences , actively leading the Lab for Media Psychology (OG) . She contributes to interdisciplinary research networks like DigiSoc , LC&Y , and Leuven One Health , with formal university affiliations confirmed through ORCID (0000-0001-6834-8386). Key research themes: digital media effects on adolescent mental health, body image, political identity, and social media literacy Current projects focus on topics like positive body image in preadolescence , influencer morality , and digital intimacy literacy Her 2025 publications include multi-method studies on appearance-focused social media activity, AI chatbot interactions, and political socialization through non-political figures Advises PhD candidates through promotor roles in diverse media psychology research areas

Jessica Hammerمشاهده پروفایل

دانشیار

• Game Design
• Educational Technologies
• Human-Computer Interaction
• +۵ مورد دیگر

Jessica Hammer is an Associate Professor of Learning Sciences at Carnegie Mellon University, jointly appointed in the Human-Computer Interaction Institute (HCII) and the Entertainment Technology Center (ETC). She directs the Center for Transformational Play, focusing on games that provoke meaningful change in players' perspectives and behaviors. Her research explores how virtual reality (VR), serious games, and interactive narratives can address complex societal issues like environmental awareness, mental health stigma, and AI ethics. She is also an award-winning game designer, with projects including Eye into AI , Monsters of Appalachia , and Project Echo of the Abyss . Hammer's academic background integrates computer science, education, and design thinking. Her work spans diverse domains such as healthcare through games, gender-inclusive game narratives, and AI literacy education. She has advised students including Erica Cruz, Noor Hammad, and Beatrice Maggipinto, mentoring them in projects that bridge technology and humanistic goals. Current research initiatives include: AI Ethics: Developing frameworks like RAD to help youth critique algorithmic systems VR for Education: Creating deep-sea exploration experiences to foster ecological empathy Inclusive Design: Addressing accessibility in game streaming for vision-impaired users Her projects often involve collaboration with interdisciplinary teams across CMU's schools, leveraging partnerships with game developers, educators, and social scientists. Hammer's work has been featured in venues like CHI and The Link magazine, reflecting her commitment to both academic rigor and real-world impact.

Tianyu Guanمشاهده پروفایل

استادیار

• Sports Analytics
• Machine Learning
• Functional Data Analysis
• +۶ مورد دیگر

Tianyu Guan is an Assistant Professor in the Department of Mathematics and Statistics at York University, Faculty of Science. He previously served as an Assistant Professor at Brock University and joined York University in 2024. He holds a PhD in Statistics from Simon Fraser University (2020), an MSc in Actuarial Science from the same institution (2014), and a BSc in Statistics from Jilin University (2011). PhD in Statistics, Simon Fraser University, 2020 MSc in Actuarial Science, Simon Fraser University, 2014 BSc in Statistics, Jilin University, 2011 His research centers on sports analytics, functional data analysis, and nonparametric statistics, with strong applications in machine learning and data science. He applies statistical methodologies to understand sports performance, player behavior, and game dynamics. His work also extends to theoretical developments in sparse modeling and functional regression. The recent publications highlight a clear trend toward integrating advanced statistical techniques with real-world sports and entertainment data. His work combines functional data analysis, machine learning, and probabilistic modeling to extract insights from complex longitudinal and high-dimensional datasets. Topics span soccer, rugby, football, and movie reviews, demonstrating interdisciplinary reach. While no formal scientific awards are listed in the provided text, his publications in high-impact journals such as Annals of Applied Statistics and Statistics and Computing reflect strong academic recognition. Tianyu Guan actively advises multiple graduate students at both MSc and PhD levels, primarily at Brock and Simon Fraser Universities. His teaching portfolio includes advanced courses in nonparametric statistics, sampling theory, and experimental design at the undergraduate and graduate levels. He has not received external grant information in the provided text, but his research output suggests active engagement in funded or independent research projects. He leads methodological and applied research in sports analytics, often co-supervising students with colleagues across institutions. His lab or research group appears focused on developing and applying statistical tools for performance analysis and decision-making in sports, supported by computational implementations such as the R package ngr .

• Computer Architecture
• Accelerated Machine Learning
• Computer Science Education
• +۳ مورد دیگر

Thomas Yeh is an Assistant Professor of Teaching in the Department of Computer Science at the University of California, Irvine. His academic background includes a Ph.D. in Computer Science from UCLA and a BS in Electrical Engineering and Computer Science from UC Berkeley. Prior to academia, he gained industry experience across research, architecture, design, verification, marketing, and management roles. His educational credentials: Ph.D. in Computer Science, UCLA BS in Electrical Engineering and Computer Science, UC Berkeley Dr. Yeh's research spans computer architecture, accelerated machine learning, and computer science education. In architecture, he pioneers error-tolerant physics simulation and heterogeneous computing. His ML work focuses on adaptive precision techniques for energy-efficient acceleration. In education, he develops interactive tools for novice programmers and experiential learning frameworks for computer architecture. His cross-disciplinary approach bridges hardware-software co-design with pedagogical innovation. Publication trends reveal consistent focus on computational efficiency across physics simulation, ML acceleration, and educational technology. His work connects real-time systems optimization with emerging AI applications, particularly in interactive environments and physics-based animation. No scientific awards are documented in the provided materials. While advising details and grant funding specifics are absent from available information, his industry-academia transition informs practical research directions. Teaching responsibilities include core courses like Introduction to CS, Data Structures, and Efficient ML Computing. Research infrastructure details remain unspecified, though his publications suggest collaborations in physics simulation and heterogeneous computing environments.

Prithviraj Ammanabroluمشاهده پروفایل

استادیار

• Natural Language Processing
• Reinforcement Learning
• Artificial Intelligence
• +۵ مورد دیگر

Prithviraj Ammanabrolu is an Assistant Professor at the University of California, San Diego (UCSD) , affiliated with the Department of Computer Science and Engineering . He leads the PEARLS Lab (Pragmatically Exploring Agents with Reinforced LanguageS) and collaborates with Nvidia as a Research Scientist. Research Focus: Bridging Machine Learning (particularly Reinforcement Learning ) with Natural Language Processing to create trustworthy and responsible language-based AI agents . Key Themes: Contextual language understanding, neurosymbolic world modeling, human preference alignment via feedback, and AI in grounded environments . Before joining UCSD in 2024, he worked on the Mosaic team at the Allen Institute for AI and as a Research Scientist at MosaicML (acquired by Databricks) . His work intersects Cognitive Science and AI scalability . Education: PhD in Computer Science from the Georgia Institute of Technology , advised by Professor Mark Riedl at the Entertainment Intelligence Lab . Projects: RL4LMs, ScienceWorld, Q-BERT, WorldGeneration, and LLMFoundry for Databricks foundation models.

• Media Psychology
• Mass Communication
• Moral Psychology
• +۳ مورد دیگر

Matthew Grizzard is an Associate Professor in the School of Communication at The Ohio State University. His research focuses on media psychology and mass communication, particularly exploring how audiences form moral judgments when engaging with media narratives. He investigates character evaluation, narrative context's role in shaping perceptions, and applications to real-world phenomena like polarization and Schadenfreude. Grizzard holds a PhD from Michigan State University and serves as an Associate Editor for the Journal of Media Psychology , alongside editorial roles in other journals. His work bridges media effects and moral psychology, with recent studies addressing character depth measurement, affective disposition theory, and the impact of video games on guilt. He has explored narrative dynamics across films, social media, and interactive media, emphasizing audience cognition and emotional engagement. Grizzard has held leadership positions within the National Communication Association's Communication and Social Cognition Division. Grizzard's research trends highlight interdisciplinary approaches to media's moral influence, with a focus on theoretical frameworks like disposition theory and their validation through empirical experiments. His articles consistently address narrative structures, character development, and the psychological mechanisms underlying audience responses to media content.

Steffi Colyerمشاهده پروفایل

مدرس ارشد

• Biomechanics
• Sports Biomechanics
• Motion Analysis
• +۷ مورد دیگر

Steffi Colyer is a Senior Lecturer in Biomechanics at the Department for Health, University of Bath. She is affiliated with the Centre for Health and Injury and Illness Prevention in Sport and the Bath Institute for the Augmented Human. Her research is supported by major grants from EPSRC and ESA, focusing on elite athletic performance, rehabilitation, and motion analysis technologies. Her research interests center on biomechanics of athletic performance, particularly in sports such as skeleton, badminton, and sprinting. She investigates the kinetic and kinematic determinants of elite performance, develops markerless motion capture systems for real-world analysis, and applies musculoskeletal modelling to understand internal loading and adaptation in normal and simulated gravity environments. Her work bridges sports science, engineering, and rehabilitation. The recent trend in her publications shows a strong focus on markerless motion analysis, pose estimation, musculoskeletal modelling, and the biomechanics of sprinting and racket sports. She leverages advanced computational methods, including deep learning and in silico simulations, to improve performance analysis and injury prevention. Her scientific awards include: ISBS New Investigator Award finalist (oral) (co-author), 2022 Departmental Staff Award for Innovation in Learning and Teaching, 2025 She has supervised multiple research students and projects, including PhD and postdoctoral work, and is actively involved in peer review for journals such as Journal of Sports Sciences , Scientific Reports , and Journal of Biomechanics . She leads the IAA project on markerless motion capture for skeleton push-start analysis and contributes to the CAMERA initiative, a major interdisciplinary research center focused on motion analysis and virtual reality applications. Her research is conducted within the Centre for the Analysis of Motion, Entertainment Research and Applications (CAMERA), where she collaborates with computer scientists, engineers, and sports scientists to develop and apply cutting-edge motion capture technologies in real-world settings.

• Natural Language Processing
• Conversational Agents
• Dialogue Systems
• +۹ مورد دیگر

Professor Marilyn A. Walker is a leading academic in Natural Language Processing and Dialogue Systems at the University of California Santa Cruz , with significant contributions to conversational agents, personality modeling, and narrative analysis. She has held visiting roles at Google Research and leadership positions at University of Sheffield and AT&T Labs. Education : Ph.D. in Computer and Information Science (University of Pennsylvania, 1993), M.A. in Linguistics (University of Pennsylvania, 1993), M.S. in Computer Science (Stanford, 1988), B.A. in Computer and Information Science (UC Santa Cruz, 1984). Research Interests include Natural Language Processing , Conversational Agents , Dialogue Systems , and Personality Modeling . Her work bridges machine learning with linguistic theory to enhance dialogue adaptivity and expressive language generation. Scientific Awards include ACL Fellow (2016) Best Paper Awards at SIGDIAL 2016 and 2014 Royal Society Wolfson Research Merit Award (2003-2009) Grants exceed $2.5M, including NSF awards for projects like Interactive Dialog Agents for Social Language Development (2017) and Processing Opinion Sharing Dialog in Social Media (2011). She has also received corporate funding from Amazon , Fujitsu , and Hitachi .

Wenhong Chenمشاهده پروفایل

استاد

• Digital Media Technologies
• Sociology
• Media Studies
• +۷ مورد دیگر

Dr. Wenhong Chen is a Professor of Media Studies and Sociology at the University of Texas at Austin's College of Liberal Arts. She holds the Distinguished Scholar title at the Robert Strauss Center for International Security and Law and serves as Vice Chair of the Global Communication & Social Change Division at the International Communication Association. PhD in Sociology, University of Toronto SSHRC Postdoctoral Fellow, Duke University Her research examines digital media technologies in entrepreneurial/organizational contexts, focusing on digital inequalities, privacy, social capital, and US-China AI policy dynamics. Funded by institutions like Pew Internet, Ford Foundation, and Woodrow Wilson Center, her work bridges communication, sociology, and technology policy. Key article trends include: network power in China's media industry, digital inequality frameworks, privacy implications of health apps, transnationalism in digital governance, and the evolving role of social capital in technology adoption. President’s Associates Teaching Excellence Award (2023) Barry Sherman Teaching Award (2022) Provost’s Teaching Fellow (2021-2024) Dr. Chen has secured grants from Pew Internet, Ford Foundation, and the Social Sciences and Humanities Research Council of Canada. She previously co-founded UT Austin's Center for Entertainment and Media Industries (2018-2023) and leads a current project analyzing US-China AI policy impacts on tech entrepreneurship.

• Human-Computer Interaction
• Tangible User Interfaces
• Playful Interactions
• +۹ مورد دیگر

Lucca Geurts is a Senior Lecturer at the Faculty of Industrial Engineering Sciences at KU Leuven, where he is affiliated with the Department of Computer Science. He serves as chairman of the Leuven Centre for Accessible Health Technology, subdivision head of Subdivision 3, Campus Group T Leuven, and Head of Education of the OC Innovative Health Technology. Additionally, he is an active member of DigiSoc – KU Leuven Institute for Digital Society. His research focuses on Technology for Tangible and Playful Interactions, particularly in healthcare applications. Dr. Geurts leads numerous research projects including therapeutic games for children with visual disorders, flexible activity measurement systems, intimate interactive systems, and early-stage glaucoma screening platforms. His work bridges human-computer interaction with accessible health technology, emphasizing user-centered design principles and practical healthcare solutions. Dr. Geurts' publication record demonstrates a consistent trajectory from fundamental interaction techniques to applied healthcare contexts. His recent work shows increasing sophistication in squeeze interactions, emotion regulation through tangible interfaces, and medical applications of interactive technology. The research trends indicate a growing focus on accessible medical diagnostics, therapeutic applications, and user experience in healthcare technology. As an educator, Dr. Geurts teaches across multiple domains including Electronics, Computer Architectures, Health Entrepreneurship, Sensors and Circuits for Healthcare Applications, and Extended Reality. His educational leadership extends to Master's theses and internships in health engineering, reflecting his commitment to training the next generation of healthcare technologists. Committee for Culture, Art and Heritage Faculty Council of Industrial Engineering Sciences Evaluation Committee of the Faculty of Industrial Engineering Sciences POC Advanced Education Faculty of Industrial Engineering Sciences Secretary of the OC Innovative Health Technology Departmental Council for Computer Science Interfaculty Council for Global Development (as substitute member) Dr. Geurts maintains an active research profile with numerous publications in top-tier human-computer interaction conferences and journals. His work shows a clear progression toward increasingly impactful healthcare applications, with strong emphasis on accessibility and user experience in medical technology development.

Kyle B. Reedمشاهده پروفایل

دانشیار

• Rehabilitation engineering
• Haptics
• Human-robot interaction
• +۴ مورد دیگر

Kyle B. Reed serves as an Associate Professor in the Department of Mechanical Engineering at the University of South Florida's College of Engineering. His academic career at USF has progressed from Assistant Professor (2009-2016) to his current position as Associate Professor (2016-present), following postdoctoral research at Johns Hopkins University. He teaches specialized courses including Haptics (EML 4593/6594), Mechanical Controls, and Advanced Engineering Mathematics. Dr. Reed earned his Ph.D. (2007) and M.S. (2004) in Mechanical Engineering from Northwestern University, and his B.S. in Mechanical Engineering from the University of Tennessee-Knoxville (2001). Prior to his faculty position, he completed postdoctoral research at Johns Hopkins University's Laboratory for Computational Sensing and Robotics (2007-2009) and worked as a researcher at Los Alamos National Laboratory (1998-2001). His research focuses on rehabilitation engineering, haptics, human-robot interaction, and medical robotics, with applications in medical devices and rehabilitation technologies. The REED Lab (Rehabilitation Engineering and Electromechanical Design Lab), which he directs, develops innovative solutions for human motion analysis and assistive technologies. His work bridges fundamental engineering principles with clinical applications, particularly in stroke rehabilitation and assistive device development. Analysis of his publication record shows consistent contributions to haptics research, human-robot interaction, and rehabilitation engineering. His work spans theoretical investigations of human motor control to practical applications in medical devices, with publications appearing in venues like IEEE Transactions on Haptics, EMBC, and Haptics Symposium. Recent work emphasizes wearable haptic devices, rehabilitation robotics, and human factors in medical technology. Developed the Gait Enhancing Mobile Shoe (GEMS) prototype during postdoctoral work Created minimally invasive steerable needle system for biopsies at Johns Hopkins Established REED Lab focusing on rehabilitation engineering and haptic technologies Developed innovative haptic devices for communication, rehabilitation, and education Dr. Reed actively mentors students through the REED Lab, supervising both graduate and undergraduate researchers. His teaching philosophy emphasizes building intuition while providing frameworks for logical problem-solving. He incorporates substantial project components into his courses, with students regularly developing haptic devices and robotics applications that sometimes lead to publications. The lab maintains strong outreach connections, working with K-12 students to promote engineering education. The REED Lab, located in the Interdisciplinary Research Building Room 114 on USF's Tampa campus, serves as the hub for his research activities. Current projects include wearable haptic devices for communication, diagnostic tools for Parkinson's disease, and rehabilitation technologies for gait analysis. The lab maintains strong connections with both clinical partners and industry, facilitating translational research from concept to application.

• Computer Vision
• Scene Understanding
• 3D/4D Vision
• +۷ مورد دیگر

Dr. Armin Mustafa is an Associate Professor in Computer Vision and AI at the University of Surrey, where he holds a prestigious Royal Academy of Engineering Research Fellow position. He is affiliated with the Centre for Vision, Speech and Signal Processing (CVSSP), the School of Computer Science and Electronic Engineering, and the Surrey Institute for People-Centred Artificial Intelligence (PAI). His research focuses on developing AI systems for visual understanding of complex dynamic scenes, with applications in entertainment, autonomous systems, and augmented/virtual reality. Dr. Mustafa completed his PhD in general dynamic scene reconstruction from multi-view videos in 2016 from the University of Surrey under the supervision of Prof. Adrian Hilton. Prior to his doctoral studies, he worked for three years (2010-2013) at Samsung Research Institute in Bangalore, India, in the field of Computer Vision. His research expertise spans Computer Vision, Scene Understanding, 3D/4D Vision, Virtual Reality, Light Fields, Machine Learning, Video Captioning, Augmented Reality, Artificial Intelligence, and Audio-visual Video Understanding. Dr. Mustafa has pioneered advances in 4D vision, NLP, and Scene Understanding over the past decade, with a particular focus on enabling machines to model and interpret real-world environments for socially beneficial applications. His work bridges theoretical advances in computer vision with practical applications in media production, virtual reality, and autonomous systems. Analysis of Dr. Mustafa's recent publications reveals a strong focus on multimodal learning, particularly the integration of audio and visual information for scene understanding. His work spans diverse areas including shadow detection and removal, audio event classification, video captioning, person image generation, and dynamic scene reconstruction. A notable trend is his exploration of transformer architectures for both vision and audio tasks, as well as the application of self-supervised learning techniques to reduce dependency on labeled data. Dr. Mustafa has received numerous prestigious awards: 2018 - Research Fellowship, The Royal Academy of Engineering, UK 2017 - Young Researcher award, CVPR 2016 - Doctoral Consortium grant, CVPR 2015 - BMVA travel grant for ICCV 2014 - Set-Squared Research to Innovator grant 2013 - Overseas Research Scholarship, FEPS, The University of Surrey 2010 - Cadence Silver Medal, Indian Institute of Technology, Kanpur As a dedicated mentor, Dr. Mustafa supervises several PhD students working on cutting-edge topics including multi-person reconstruction, audio-visual scene understanding, and automatic storyboard generation. His research is supported by significant grants including a £15 million UKRI Prosperity Partnership with the BBC (AI4ME), a 5-year Royal Academy of Engineering fellowship (4D Vision for Perceptive Machines), and multiple projects with industry partners such as Figment Productions and Foundry. Dr. Mustafa is an active member of the Centre for Vision, Speech and Signal Processing (CVSSP), one of the world's leading research centers in vision, speech, and signal processing. He also contributes to the Surrey Institute for People-Centred Artificial Intelligence (PAI), where he serves as a Surrey AI Fellow. His work often involves collaboration with industry partners and other academic institutions across Europe.

Kathleen Hallمشاهده پروفایل

دانشیار

• Education
• Anthropology
• Immigration
• +۷ مورد دیگر

Kathleen Hall is an Associate Professor of Education and Anthropology at the University of Pennsylvania , with secondary appointments in the Department of Anthropology and affiliations in Sociology, Folklore, Social Policy, South Asia Studies, Urban Studies, and Asian American Studies. She received the Michael Katz Excellence in Teaching Award (2001) and the Provost’s Award for Distinguished Ph.D. Teaching and Mentoring (2009). Fulbright Fellow Spencer Dissertation Fellow National Academy of Education Postdoctoral Fellow Her research spans immigration , citizenship , racial and class inequality , public sector policy , anti-terrorism law , and global citizenship education . She authored Lives in Translation: Sikh Youth as British Citizens (Oxford University Press, 2002). Recent publications focus on misinformation dynamics , vaccine hesitancy , media polarization , and public trust in science . She investigates how conspiracy theories and partisan media consumption influence health behaviors, political perceptions, and scientific acceptance. Scientific awards include: Michael Katz Award (2001) Provost’s Award (2009) Fulbright Fellowship Spencer Fellowships Dr. Hall mentors graduate students and advises on projects related to social stratification and science communication . She has contributed to initiatives like the Spencer Advanced Studies Institute Fellowship and the Urban Studies Program .

• Extended Reality
• Virtual Reality
• Augmented Reality
• +۷ مورد دیگر

Dr. Kata Szita serves as an Assistant Professor of Multimedia at the School of Communications. Her expertise spans extended reality technologies, human-computer interaction, and the psychological impacts of virtual environments on human behavior and cognition. Her research delves deep into understanding how virtual and augmented reality experiences affect human-to-computer and human-to-human interactions. She investigates the cognitive and neural processes involved when users engage with virtual environments, particularly focusing on the use of avatars and XR-manipulated bodies. Her work also examines social behaviors in virtual spaces and the ethical dilemmas surrounding artificial digital agents and personal data collection in XR environments. Dr. Szita currently leads interdisciplinary and cross-sector research projects aimed at developing accessible and adaptive immersive technologies. Her collaborative efforts extend to studying cognitive processing of realism in mixed reality, virtual identities, and youth behavior in virtual environments. Her research approach combines theoretical frameworks with practical applications, contributing significantly to the understanding of immersive media experiences. Her extensive publication record from 2017-2025 demonstrates a consistent focus on emerging themes in XR research. The articles reveal an evolution from early smartphone-based viewing studies to sophisticated analyses of metaverse environments, presence measurement methodologies, and the psychological impacts of virtual identities. Her work bridges cognitive psychology, media studies, and technology development, establishing her as a leading voice in understanding human experience within digital and virtual contexts.