جست‌وجوی استاد و پژوهشگر

• Developmental Psychology
• Autism Spectrum Disorders
• Technology in Education
• +۵ مورد دیگر

Prof Nicola Yuill is a Professor of Developmental Psychology at the University of Sussex's School of Psychology. She leads the Autism Community Research Network Sussex (ACoRNS) and the Children & Technology Lab. Her research focuses on neurodiversity, particularly autism, emphasizing collaborative technologies and stakeholder co-creation of support tools. She explores digital storytelling, social interaction analysis, and inclusive design for neurodivergent populations. Yuill has secured grants from ESRC, NIH, and other bodies to investigate topics like online therapy efficacy, playground design for social play, and technology for communication. She trains Video Interaction Guidance practitioners and serves as a primary school governor. Her work bridges psychology and technology, aiming to empower autistic individuals through innovative methodologies. Key projects include the 'Digital Stories' initiative and evaluations of tablet interfaces for collaborative learning. Yuill's research highlights the importance of stakeholder partnership, with outputs featured on the National College for Research Methods and in guidelines for online therapy. Advising and grants: Yuill supervises UG/PG students and PhD candidates in children's social interaction and technology. She has led over 15 grants, including ESRC-funded studies on autism and EPSRC projects on collaborative learning interfaces. Her labs collaborate across disciplines, integrating informatics, linguistics, and education. Labs/teams: ACoRNS (focusing on autistic communities) and the Children & Technology Lab (designing inclusive tech solutions).

• Journalism
• Communication Technology
• Social Media
• +۳ مورد دیگر

Yee Man (Margaret) Ng is an Associate Professor in Journalism and the Institute of Communications Research at the University of Illinois. She combines data science methodologies with communication research to study social media dynamics, digital journalism, and technology adoption patterns. Her research interests include: Computational social science Social media analytics Data visualization techniques Communication technology impacts Journalism innovation Post-adoption technology behavior Ng's methodology integrates big data analysis, machine learning algorithms, and traditional survey/experimental approaches. Current work extends diffusion of innovations theory by examining social media users' discontinuance and readoption behaviors. Academic contributions span both empirical research and educational practice. She has taught courses like: JOUR 460 - Data Storytelling JOUR 410 - Data Storytelling for Journalism JOUR 425 - Multimedia Editing and Design JOUR 199 - Hands-on Media Technology Her publications analyze topics ranging from YouTube's recommendation algorithms to digital sustainability in news media, with particular focus on: Platform migration patterns Algorithmic content moderation Political communication dynamics Media technology adoption Regional web usage differences Incivility measurement techniques

Jasmin Niessمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Reflective Technology
• Personal Informatics
• +۲ مورد دیگر

Jasmin Niess is an Associate Professor in the Design of Information Systems group at the University of Oslo. Her research explores how interactive technologies can support reflection, emotional awareness, and self-regulation. Research develops frameworks and tools for reflective technologies, examining how personal data visualizations can foster self-compassion and emotional awareness. Current projects investigate perception of AI systems and metrics for measuring reflective thought in technology interactions. Recent publications propose scales for assessing reflection and rumination in technology use, design principles for self-compassionate visualizations, and studies on user perceptions of conversational agents. Contributes to research groups on Designing Technologies for Democracy and Design of Information Systems.

Anders Björnمشاهده پروفایل

استاد

• Nonlinear Potential Theory
• Analysis on Metric Spaces
• Differential Equations
• +۳ مورد دیگر

Anders Björn is a Professor at the Department of Mathematics (MAI) at Linköping University (LIU), affiliated with the Analysis and Mathematics Education (ANDI) division. His research focuses on Nonlinear Potential Theory , particularly p-harmonic functions , quasiminimizers , and Newtonian Sobolev spaces in metric spaces. He co-leads the research group in this area and contributes to Analysis on Metric Spaces . He teaches undergraduate and graduate courses, including Real Analysis and Functional Analysis . Organizational Roles: Organizer of the Mathematical Colloquium, Local Representative for Svenska Matematikersamfundet (Swedish Mathematical Society). Editorial Work: Former Technical Editor for Acta Mathematica (2004–2015) and Arkiv för Matematik (1993–2015), both published by Institut Mittag-Leffler. His research explores foundational questions in mathematical analysis, blending pure mathematics with interdisciplinary applications. He emphasizes understanding properties of solutions to differential equations in general settings, akin to constructing an 'identikit' of mathematical phenomena. His work is published in collaboration with the ANDI group, and he actively engages in promoting mathematics through outreach and academic service.

Hao Zhangمشاهده پروفایل

دانشیار

• Robotics
• Artificial Intelligence
• Computer Vision
• +۶ مورد دیگر

Hao Zhang is an Associate Professor in the Department of Computer Science at the Manning College of Information and Computer Sciences (CICS), University of Massachusetts Amherst. He directs the Human-Centered Robotics Laboratory (HCRLab), focusing on lifelong collaborative autonomy, robot adaptation, and human-robot teaming. His research integrates robotics, AI, and machine learning to develop algorithms for real-world applications like manufacturing, autonomous driving, and environmental monitoring. He holds an NSF CAREER Award and DARPA Young Faculty Award, among other recognitions. Dr. Zhang earned a PhD from the University of Tennessee, Knoxville (2014) and an MS from the Chinese Academy of Sciences (2009). His work addresses challenges in unstructured environments through innovations like self-reflective terrain adaptation and graph-based perception systems. He actively promotes equity in robotics through his PROGRESS outreach program. His research sponsors include NSF, DARPA, and industry partners such as Toyota. Publications span conferences like RSS, ICRA, and IROS, with best paper awards. He serves on editorial and program committees for top-tier journals/conferences including RA-L, NeurIPS, and AAAI.

Raymond H. Cuijpersمشاهده پروفایل

دانشیار

• Cognitive Robotics
• Human-Robot Interaction
• Socially Assistive Robotics
• +۵ مورد دیگر

Raymond H. Cuijpers is an Associate Professor at Eindhoven University of Technology in the Human Technology Interaction group. His research focuses on Cognitive Robotics , Human-Robot Interaction , and Artificial Intelligence for cognitive agents, with applications in healthcare robotics and aging population support. PhD in Physics of Man from Utrecht University (2000) Postdoctoral research at Erasmus MC Rotterdam and Radboud University Nijmegen Key research areas include: Developing socially intelligent robots with proper social cue interpretation Hybrid AI approaches for real-world complexity handling Visual-haptic perception integration in human motor control Service robots for COPD patient assistance (KSERA project) Rescue robotics and tele-operation applications Recent research output (2025) includes studies on: Personalization in human-robot communication Optimal lighting for elderly visual perception Human-robot bonding mechanisms Interactive sensorized platforms for homecare (GUARDIAN) Audiovisual temporal integration in virtual environments He coordinates large-scale European projects like GUARDIAN and previously KSERA, contributes to sustainable development goals through healthcare robotics, and serves on editorial boards of leading journals including International Journal of Social Robotics . His work spans both technical robotics development and human-centric interaction studies.

Racquel Gatesمشاهده پروفایل

دانشیار

• Blackness in Popular Culture
• Media Representation Studies
• Cultural Discourses of Taste
• +۵ مورد دیگر

Racquel Gates is an Associate Professor in the Department of Film and Media Studies at Columbia University's School of the Arts. She holds a PhD from Northwestern University's Screen Cultures program, an MA in Humanities from the University of Chicago, and a BS in Foreign Service from Georgetown University. Her research interrogates intersections of blackness and popular culture, particularly focusing on discourses of taste and quality in media representations. Gates' work bridges academic scholarship and public engagement through contributions to outlets like The New York Times, Film Quarterly, and The Los Angeles Review of Books. She was honored as an Academy Film Scholar (2020), supporting her book project on Hollywood style and blackness. Notable projects include curating the Museum of the Moving Image's exhibition on Black women in film posters and serving as a consultant for Criterion Collection's Melvin Van Peebles box set. Her research emphasizes how 'disreputable' cultural representations can critically engage with racial identity, as explored in her book *Double Negative: The Black Image and Popular Culture* (2018). She actively participates in podcasts, television programs, and public lectures to democratize film analysis, advocating for rigorous yet accessible cultural critique.

• Cyber Security
• Cryptography
• Steganography
• +۶ مورد دیگر

Rainer Böhme is a Professor at the University of Münster, Germany. His research focuses on cyber security, cryptography, steganography, digital forensics, and blockchain technology. He has made significant contributions to understanding cyber risk quantification, central bank digital currencies (CBDCs), and the socio-technical challenges in cryptocurrency systems. Key areas of research include steganalysis (analysis of hidden data in digital media), forensic techniques for neural network inference pipelines, and the economic implications of cyber insurance. He actively contributes to conferences like the Financial Cryptography Workshops (FC) and the Workshop on Information Hiding and Multimedia Security (IH). Böhme's work bridges theory and practice, addressing real-world issues such as privacy in CBDCs, adversarial attacks on AI systems, and the role of law enforcement in cryptocurrency markets. His recent studies explore the security implications of image orientation in JPEG files and the detection of privileged parties in blockchain transactions. He has collaborated with institutions like the University of Vienna and ETH Zurich, and his research has been published in top-tier venues such as IEEE Transactions on Information Forensics and Security and the ACM Conference on Computer and Communications Security (CCS).

Danielle Sulikowskiمشاهده پروفایل

مدرس ارشد

• Comparative Cognition
• Cognition
• Behavioral Ecology
• +۶ مورد دیگر

Danielle Sulikowski is a Senior Lecturer and Associate Head of School in the School of Psychology at Charles Sturt University (Bathurst Campus). She holds a PhD from Macquarie University (2010), a BSc(Hons) from Macquarie University (2005), and a BSc from the University of New England (2003). Her research focuses on comparative cognition, integrating psychology, behavioral ecology, and evolutionary principles to study spatial cognition, attractiveness, visual attention, and lateralization in humans and animals like noisy miners. Her teaching responsibilities include PSY201 (Research Methods and Statistics in Psychology) and PSY307 (Cognition), delivered both internally and via distance learning. Key research interests span cognition, learning, perception, biopsychology, and evolutionary psychology, with projects involving human subjects and avian species. She maintains a research laboratory website for her comparative cognition work. Recent publications explore topics ranging from dark personalities in online behavior to facial symmetry studies and evolutionary mate strategies. Her work frequently bridges traditional psychology with ecological and evolutionary frameworks, emphasizing adaptive cognitive mechanisms in foraging and social behavior. No scientific awards are explicitly mentioned, though her extensive publication record reflects significant academic contribution. Teaching and advisory roles include no listed students, but her research engages with broader societal issues like domestic violence policy implications and digital media effects.

Jacob Whitehillمشاهده پروفایل

دانشیار

• Applied Machine Learning
• Speech and Speaker Recognition
• Educational Data Mining
• +۳ مورد دیگر

Jacob Whitehill is an Associate Professor in the Department of Computer Science at Worcester Polytechnic Institute (WPI), affiliated with the Learning Science & Technologies (LST) program. His research focuses on applying machine learning to education and human-computer interaction, including speech recognition, emotion analysis, and automated classroom observation. He leads the NSF-funded project Developing New Scientific Instruments for Classroom Observation and collaborates on the AI Institute for Student-AI Teaming (iSAT) . His research interests span Applied Machine Learning (e.g., multi-modal systems, speaker diarization), AI for Education (e.g., automated instructional evaluation, child speech recognition), and Emotion Recognition (e.g., affective computing in classrooms). Recent work emphasizes classroom observation tools and improving student-teacher interaction analysis through video and audio data. Notable projects include: NSF-funded classroom observation tools AI Institute for Student-AI Teaming (iSAT) Schmidt Futures-funded Hybrid Human-Agent Tutoring for math education His team includes PhD students Xinlu He (Data Science), Jiani Wang (Computer Science), and Yiwen Guan (Computer Science), along with visiting scholar Cecilia Tivir. He advises students on topics like speaker recognition, educational data mining, and computer vision in classroom settings. Grants and collaborations include NSF, Schmidt Futures, and industry partnerships. His lab develops tools for automated feedback on teaching practices, leveraging LLMs and multimodal data. For more details, contact jrwhitehill@wpi.edu .

Jean Ponceمشاهده پروفایل

استاد

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

Jean Ponce is a Professor of Computer Science at Ecole Normale Superieure (ENS) in Paris and a Part-Time Global Distinguished Professor at New York University's Courant Institute of Mathematical Sciences and Center for Data Science (CDS). He previously served as Director of the ENS Computer Science Department (2011-2017) and held positions at Inria (2017-2022), University of Illinois at Urbana-Champaign (1998-2006), MIT, Stanford, and Inria (1982-1985). Academic Leadership: Scientific Director of PRAIRIE Interdisciplinary AI Research Institute in Paris Startup Involvement: Co-founder and CEO of Enhance Lab (2022) Editorial Roles: Senior Editor-in-Chief of International Journal of Computer Vision (2019-2022) Conference Leadership: Chair of IEEE CVPR (1997,2000), ECCV (2008), and upcoming ICCV (2023) Research Focus: Computer vision, machine learning, robotics, and AI with applications in exoplanet imaging, 3D reconstruction, and image quality assessment. His work bridges statistical learning and deep learning approaches. Awards: IEEE Fellow (2003) ELLIS Fellow (2019) ERC Advanced Grant (2011) IEEE CVPR Longuet-Higgins Prizes (2016,2020) ICML Test-of-Time Award (2019) Patents & Publications: Co-author of influential textbook Computer Vision: A Modern Approach (translated into Chinese, Japanese, Russian). Holds two US patents and one pending French patent. Google Scholar h-index of 78 with over 55,000 citations.

Pöppel Ernstمشاهده پروفایل

استاد

• Art & Science
• Neurobiological aspects of music
• Visual art
• +۱۲ مورد دیگر

Ernst Pöppel is a Professor of Medical Psychology at Ludwig-Maximilians-Universität Munich, Germany. He has held numerous leadership positions, including Director of the Parmenides Center for Art & Science (since 2009), Founder and Chairman of the Human Science Center (since 1997), and former Director of the Institute of Medical Psychology (1977–2008). He has collaborated internationally with scientists from over 40 countries and served as Guest Professor at Peking University (since 2002). Founder and Director of the Institute of Medical Psychology (LMU Munich, 1977–2008) Chairman and Board Member of the Human Science Center (LMU Munich, since 1997) Director of the Parmenides Center for Art & Science (Pullach, Germany, since 2009) Guest Professor at Peking University (since 2002) Research Interests His work spans interdisciplinary domains, integrating brain science and psychology. Key areas include: Art & Science : Neurobiological foundations of music, visual art, and poetry. Visual Perception : Structure of the visual field, attentional control, and mechanisms of perceptual constancy. Neuropsychology : Investigation of residual vision (blindsight) and functional restitution in neurological patients. Time and Timing : Temporal perception, time windows, and circadian rhythms. Scientific Awards and Honors Visiting Professorship for Senior International Scientists, Chinese Academy of Sciences (2013–2014) Overseas Reknowned Scholar Lecture Program of Peking University (2011) Golden Medal of the Peutinger Collegium, Germany (2007) Bavarian Constitutional Medal in Silver (2005) Member of the European Academy of Sciences and Arts (1997) Member of the National Academy of Sciences (Leopoldina) (1993) J.E. Purkinje Medal of the Czech Medical Societies (1988) Levinson Award of the American Poetry Association (1984) Advising and Scientific Impact Over his career, Pöppel has supervised more than 200 doctoral theses at LMU Munich and the University of Innsbruck, Austria. His research bridges basic scientific inquiry with practical applications, influencing fields such as education, intercultural understanding, medical therapy, and economic/political decision-making. Labs and Research Teams He founded and led the Institute of Medical Psychology at LMU Munich (1977–2008) and currently directs the Parmenides Center for Art & Science in Pullach, Germany. He was instrumental in establishing the Human Science Center at LMU and chaired its board since 1997.

• Cognitive Psychology
• Neuroscience
• Visual Perception
• +۳ مورد دیگر

Yelda Semizer Kaplan is an Assistant Professor at the New Jersey Institute of Technology within the College of Humanities and Social Sciences . Her research intersects cognitive psychology and visual neuroscience, focusing on fundamental mechanisms of human perception and attention. Specializes in temporal integration and ensemble perception Investigates peripheral vision limitations in complex tasks Develops computational models of maze-solving cognition Key research themes analyze how visual clutter affects search performance, how temporal dynamics influence attentional blink, and how spatial configurations impact cognitive processing. Her work has been featured in Journal of Vision and Attention, Perception & Psychophysics , with collaborations across neuroscience and human factors domains. Media engagement highlights include contributions to NJIT's Research Institutes Showcase (2021) and Cyberpsychology Seminar Series (2021). Current work explores mental maze-solving mechanisms through novel behavioral paradigms.

Tamara Sumnerمشاهده پروفایل

استاد

• AI in Education
• Classroom Discourse Analysis
• Educational Technology
• +۴ مورد دیگر

Tamara Sumner is a Professor at the Institute of Cognitive Science , University of Colorado. Her research focuses on leveraging AI and educational technology to improve teaching practices, particularly in STEM education, and fostering equitable learning opportunities. She co-leads the Institute for Student-AI Teaming (iSAT), reimagining AI's role in education. Her work emphasizes classroom discourse analysis, teacher professional development, and rural STEM pathways. Key research areas include: AI tools for automating feedback on teacher-student interactions Equity-focused learning analytics and visualizations Rural youth engagement in STEM through community partnerships Integration of computational thinking and sensor technologies in K-12 curricula Her recent articles highlight advancements in automated discourse analysis, equity-driven tools like the SEET system, and AI-augmented tutoring models. She has contributed to grants such as the BIGDATA: IA initiative (2018) and co-designed programs like DaSH Home for remote learning. Her work bridges research and practice, involving educators and communities in co-design processes. Current initiatives aim to address systemic inequities through technology, such as visual learning analytics for classroom reflection and STEM career pathways for underserved rural populations.

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

Prof. Margret Keuper is a Professor in the Department of Computer Vision and Machine Learning at the Max Planck Institute for Informatics. Her research focuses on advancing machine learning and computer vision techniques, with an emphasis on model fairness, adversarial robustness, and multimodal interactions. She leads interdisciplinary projects exploring topics such as dataset analysis, generative models, and climate action through visual narrative analysis. Research Interests: Her work bridges theoretical foundations and practical applications in domains like adversarial training, image classification robustness, and robotics perception. She explores how vision-language models can be steered to align with human biases and develops methods for data-efficient learning and interpretability. Recent Contributions: Recent work includes FAIR-TAT (model fairness via adversarial training), VSTAR (video synthesis), and TikZero (zero-shot graphics program generation). Her publications in top venues like CVPR, ICCV, and ICLR highlight contributions to both methodological innovation and real-world impact. Collaborations: Works closely with researchers across Max Planck and academic partners, focusing on projects such as sensor layout optimization, climate discourse analysis via social media imagery, and domain-aware foundation model fine-tuning.