جست‌وجوی استاد و پژوهشگر

Steven P. Dowمشاهده پروفایل

استاد

• Social Computing
• Human-Computer Interaction
• Collective Intelligence
• +۴ مورد دیگر

Steven P. Dow is a Professor at the University of California San Diego leading the ProtoLab, which investigates collective intelligence, creativity, and decision-making through social computing and human-centered design. His work develops systems leveraging LLMs, crowdsourcing, and visualization to scaffold problem-solving for individuals and communities. His research spans Social Computing , Human-Computer Interaction , and Participatory Design , focusing on cognitive/social aspects of collaborative processes. Key areas include AI-augmented creativity tools, value-centered civic engagement frameworks, and metadata-driven collective ideation systems that bridge technical and cultural dimensions of design. 2025 publications reveal a strong trend toward LLM-crowd integration for creative workflows, with work appearing at UIST and Collective Intelligence conferences. Research emphasizes inclusive idea convergence in civic contexts and dynamic exploration in design processes using forward-backward propagation techniques. Prof. Dow actively mentors students, with advisees like Sangho Suh and Nancy Qiu leading publications on AI storyboarding and self-reflective crowds. His ProtoLab drives projects including community-driven design environments and context-aware exploratory search systems. The ProtoLab serves as an interdisciplinary hub developing socio-technical systems for community co-design, leveraging ubiquitous devices and mixed-initiative interfaces to transform how teams solve complex problems through emergent scaffolding and value-centered frameworks.

Madeline Endresمشاهده پروفایل

استادیار

• Software Engineering
• Human-Computer Interaction
• Programmer Productivity
• +۴ مورد دیگر

Madeline Endres is an Assistant Professor at the Manning College of Information and Computer Sciences, University of Massachusetts Amherst. She co-directs the LASER Lab and holds a Ph.D. in Computer Science from the University of Michigan (2024), alongside degrees in Computer Science and Cello Performance. Her research focuses on improving programmer productivity and wellbeing through interdisciplinary approaches combining software engineering, psychology, and medicine. Her research interests include: Programmer cognition and skill acquisition Developer tool design and evaluation Impact of external factors (e.g., psychoactive substances, workplace policies) on software development Neuroimaging studies of programming tasks Key achievements include Distinguished Paper Awards at ICSE 2024 and FSE 2023, and an NSF Graduate Research Fellowship (2020). She actively contributes to program committees for major software engineering conferences. Current projects include VR-based spatial reasoning training for novices, TMS experiments to identify cognitive causality in programming, and controlled studies on cannabis use and programming ability. She also maintains the CS Grad Job Guide to support early-career researchers.

Narges Mahyarمشاهده پروفایل

دانشیار

• Human-Computer Interaction (HCI)
• Information Visualization
• Digital Civics
• +۴ مورد دیگر

Narges Mahyar is an Associate Professor at the University of Massachusetts Amherst in the Manning College of Information and Computer Sciences (CICS) . She is currently on sabbatical with the Aviz team at the Inria Center, University of Paris-Saclay . Her research focuses on Human-Computer Interaction (HCI) , Information Visualization , and Digital Civics , aiming to empower communities through technology. Education: She holds a PhD in Computer Science from the University of Victoria, an MS in Information Technology from the University of Malaya, and a BS in Electrical Engineering from Tehran Azad University. She completed postdoctoral fellowships at the University of British Columbia (2014–2016) and the University of California San Diego (2016–2018). Research Interests: Her work addresses complex societal challenges like climate change, urban planning, and healthcare by designing inclusive technologies. Key areas include civic engagement, data visualization for equity, and integrating AR/VR for public participation. Notable projects include CommunityClick and RisingEMOTIONS , which enhance public input in decision-making. Publications & Awards: With over 50 publications, her work has received prestigious awards including Best Paper Awards at CHI 2023 , Eurovis 2022 , and CSCW 2020 . Her research emphasizes ethical design and inclusivity, particularly involving marginalized communities. Grants & Advising: She has secured grants totaling over $1.4 million, including NSF funding for projects like "Mapping Instability" . Advises PhD student Mahmood Jasim and collaborates with Ali Sarvghad and Pari Riahi on interdisciplinary research. Labs & Teams: Leads the HCI-VIS Lab at UMass, focusing on social computing and visualization. Collaborates internationally with teams like Aviz and Inria on civic tech initiatives.

Biyu J. Heمشاهده پروفایل

دانشیار

• Systems Neuroscience
• Cognitive Neuroscience
• Computational Neuroscience
• +۳ مورد دیگر

Biyu J. He is an Associate Professor in the NYU Grossman School of Medicine, holding joint appointments in the Departments of Neurology, Neuroscience, and Radiology. His research focuses on systems, cognitive, and computational neuroscience, particularly exploring neural mechanisms underlying conscious perception, memory, and visual processing. He leads the HELab at NYU, investigating how spontaneous brain activity influences sensory awareness and cognition. Dr. He earned his PhD from Washington University in St. Louis. His work spans interdisciplinary approaches, including functional brain imaging in healthy volunteers and neurological patients to study cognitive functions. Key research themes include slow cortical potentials, neural oscillations, and the temporal dynamics of neural processes. His recent grants include a $1.2 million award to advance AI research informed by human cognitive models. Notable contributions include studies on change blindness, memory representation during perceptual tasks, and network mechanisms of consciousness. Collaborations with experts like Ned Block and Jan W. Brascamp highlight his engagement with both experimental and theoretical neuroscience. Dr. He’s lab integrates computational modeling, neuroimaging, and behavioral experiments to dissect the neural substrates of perception and cognition. His publications often emphasize bridging gaps between consciousness studies and broader cognitive neuroscience frameworks.

Elizabeth Mynattمشاهده پروفایل

استاد

• Human-Centered Computing
• Personal Health Informatics
• Assistive Technologies
• +۳ مورد دیگر

Elizabeth Mynatt is the Dean and Professor of the Khoury College of Computer Sciences at Northeastern University. Her research focuses on human-centered computing, personal health informatics, and assistive technologies, particularly for aging populations. She leads the National Science Foundation's AI Institute (AI-CARING) and co-directs Emory University's Cognitive Empowerment Program. Mynatt advocates for federal research funding, emphasizing its role in technological innovation and economic growth. She is a Fellow of the ACM and member of the American Academy of Arts and Sciences. Her leadership includes fostering inclusive computing education and developing the Oath for Computing Professionals . Mynatt has over 100 publications, with work spanning ubiquitous computing, health informatics, and AI ethics. She previously held roles at Georgia Tech, including Regents' Professor and director of the Institute for People and Technology. Key contributions include designing AI systems to support aging-in-place, technology-mediated caregiving, and addressing challenges in mental health medication management. Her collaborations with industry and global institutions highlight her commitment to sociotechnical systems that enhance human capabilities while respecting cultural contexts.

Cristobal Pagan Canovasمشاهده پروفایل

استاد

• Cognitive Linguistics
• Conceptual Integration
• Multimodal Communication
• +۴ مورد دیگر

Cristobal Pagan Canovas is a Permanent Professor (tenure-track) at the Department of English Philology, University of Murcia, where he co-directs the Daedalus Lab and the Murcia Center for Cognition, Communication, and Creativity. He is also a member of the international consortium Red Hen Lab, focusing on multimodal communication research. Education includes: PhD in Ancient and Modern Greek Literature from University of Murcia BA+MA in Classics and BA+MA in English from University of Murcia MA in Classics from University College London His research explores human cognition and communication through interdisciplinary approaches combining humanities and sciences. Primary interests include: Conceptual integration networks in emotional expression Multimodal communication patterns across language, gesture, and prosody Temporal representation in creative artifacts Cognitive foundations of poetic metaphor and verbal art Cultural evolution of integrative patterns in social interactions Recent publications demonstrate consistent focus on temporal cognition, multimodal communication, and creativity across domains including poetry, music, and gesture. Research employs corpus analysis, big data approaches, and cognitive modeling to examine how humans integrate perceptions into meaningful wholes. Scientific awards and fellowships: Ramón y Cajal Grant (elite national scheme) Alexander von Humboldt Fellowship in Quantitative Linguistics EURIAS Fellowship at Netherlands Institute for Advanced Studies FBBVA Leonardo Fellowship Marie Curie Fellowship ENSAYA'10 Award for scientific essay He leads multiple research grants including ERASMUS PLUS KA220-HED (MULTIDATA) and national grants MULTIFLOW and CREATIME. Supervised trainees include postdoctoral researchers (Marie Curie, Juan de la Cierva), MA students, undergraduates, and data scientists. The Daedalus Lab develops interdisciplinary methods to study cognition and communication, while Red Hen Lab enables large-scale multimodal dataset analysis through international collaboration.

• Augmented Reality
• Computer Vision
• Human-Computer Interaction
• +۴ مورد دیگر

Dr. Alexander Plopski is an Assistant Professor at the Institute of Visual Computing, Technische Universität Graz. His research focuses on advancing augmented reality (AR) technologies, human-computer interaction (HCI), and optical display systems. He holds a PhD, M.Sc., and BSc in relevant fields. His work emphasizes perceptual optimization in AR displays, eye tracking integration, and accessibility solutions for color vision deficiencies. Key research areas include gaze-contingent AR interfaces, light field manipulation for extended reality, and multimodal interaction techniques. Notable contributions include the development of the 'guitARhero' interactive AR guitar tutorial system and studies on focal distance effects in optical see-through displays. His publications span topics from AR display calibration to gesture recognition using radar sensing. He has explored applications in industrial training, medical AR, and robotic telemanipulation. His work often bridges theoretical perceptual studies with practical system implementations, aiming to enhance user experience and accessibility in AR/VR environments.

Yi-Chi Liaoمشاهده پروفایل

پژوهشگر

• Human-Computer Interaction
• Human-in-the-Loop Optimization
• Reinforcement Learning
• +۴ مورد دیگر

Yi-Chi Liao is a postdoc researcher at ETH Zürich under the SIP Lab, funded by the ETH Zürich Postdoc Fellowship Programme. He holds a PhD from Aalto University (supervised by Prof. Antti Oulasvirta) and Master's/Bachelor's degrees from National Taiwan University. His research focuses on computational interaction, human-in-the-loop optimization, and biomechanical simulation. He has contributed to over 14 top-tier publications in venues like CHI, UIST, and TiiS. Education: PhD in Computer Science, Aalto University (Finland) Master's in Computer Science, National Taiwan University Bachelor's in Computer Science, National Taiwan University Research Interests: Advances in HILO frameworks for adaptive systems, human-AI co-design, and biomechanical motion simulation. His work integrates reinforcement learning, Bayesian optimization, and computational modeling to enhance interactive systems. Publications: Over 14 papers in top HCI venues, emphasizing optimization techniques, tactile interfaces, and 3D interaction. Recent work includes meta-Bayesian optimization for wrist-based interactions and real-time target inference via biomechanical simulation. Awards: CHI 2022 Honorable Mention, multiple outstanding review recognitions, and the ETH Postdoc Fellowship. He serves on program committees for CHI, UIST, and TEI. Teaching: Delivered lectures on Bayesian statistics, deep learning, and computational design at Aalto and NTU. Served as a teaching assistant for HCI and computer architecture courses. Labs: Active in the Human-Computer Interaction Lab (Saarland University), SIP Lab (ETH Zürich), and collaborations with Meta Reality Labs.

Jakub Macinaمشاهده پروفایل

پژوهشگر ارشد

• Natural Language Processing
• Learning Sciences
• Dialogue Systems
• +۶ مورد دیگر

Jakub Macina is a Doctoral Fellow at the ETH AI Center and a PhD Candidate at ETH Zürich . He works in the intersection of Natural Language Processing and Learning Sciences as part of the Language, Reasoning and Education Lab (led by Prof. Mrinmaya Sachan) and the Professorship for Learning Sciences and Higher Education (led by Prof. Manu Kapur). Forbes 30 Under 30 in Science & Education 2023 Recipient of ETH AI Center Fellowship ( Co-founder of a health-tech startup with seed investment Research Interests : Focus on generative large language models (LLMs), dialogue tutoring systems , pedagogical alignment of AI models, and mathematical reasoning . His work explores: Reinforcement learning for pedagogical steering LLM evaluation frameworks Socratic question generation Stepwise error detection and remediation Student-teacher interaction modeling Publications span top conferences like EMNLP , ACL , NeurIPS , and RecSys , with particular emphasis on educational applications of LLMs and dialogue-based learning systems . Scientific Awards : Forbes 30 Under 30 in Science and Education (2023) 2nd Place in ACM IT SPY Computer Science Master's Thesis Competition (2017) ETH AI Center Fellowship (2021) Leadership & Teaching includes: Managing team of 6 data scientists Teaching Assistant for Machine Learning and NLP courses at ETH Zurich Developing large-scale ML pipelines for recommender systems Open-source contributions to Discourse and Google Summer of Code projects

• Biometrics
• Computer Vision
• Machine Learning
• +۴ مورد دیگر

Marina L. Gavrilova is a Professor at the University of Calgary, Canada. Her research focuses on biometric systems, computer vision, and machine learning with an emphasis on multimodal recognition and security applications. She has authored numerous publications in top journals and conferences, contributing to advancements in fields like emotion-aware de-identification, generative adversarial networks, and ethical AI frameworks in healthcare. Her work spans social behavioral biometrics, gait recognition, masked face recognition, and aesthetic-based person identification. Key contributions include frameworks for ethical AI in care systems, fusion algorithms for multi-biometric systems, and innovations in visual and audio signal processing. Collaborations with experts like Osvaldo Gervasi, Jon G. Rokne, and Padma Polash Paul highlight her interdisciplinary approach. Publications emphasize practical applications such as privacy-preserved biometrics, emotion detection from social media, and adaptive systems for template aging. Despite no explicit mention of grants or labs, her extensive co-author network and frequent citations indicate significant academic influence.

Tülin Haşlamanمشاهده پروفایل

دانشیار

• Educational Technology
• Instructional Design
• Self-Regulated Learning
• +۳ مورد دیگر

Tülin Haşlaman is an Associate Professor at the Department of Elementary Education - Primary Education, TED University. She holds roles as a Coordinator and Vice Head of Department. Her teaching portfolio includes courses such as Instructional Technologies, Technology-Enhanced Language Learning, and Micro Teaching, reflecting her expertise in educational technology and pedagogical innovation. Her research focuses on ICT integration in education, self-regulated learning strategies, and teacher development. Notable areas of interest include the use of digital storytelling for computational thinking, infographics in supporting student autonomy, and smartphone addiction among university students. She has also studied the impact of social media platforms like Facebook on teacher training and the integration of ICT into teaching processes. Dr. Haşlaman’s work emphasizes bridging technology with educational practices, particularly in primary education contexts. Her articles highlight themes such as pre-service teacher digital competency, disabled teachers’ technology integration challenges, and peer assessment in online environments. Despite her extensive academic contributions, she has no explicitly listed awards or grants in the provided materials. Her courses over the years span foundational education topics like Learning Environments, Observation in Schools, and Research Methods, demonstrating a commitment to both theoretical and applied aspects of education. While she has not specified any affiliated labs or teams, her teaching and research activities suggest active engagement in educational technology initiatives and teacher professional development programs.

Vineet Pandeyمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Digital Health
• Citizen Science
• +۳ مورد دیگر

Vineet Pandey is an Assistant Professor at the Kahlert School of Computing, University of Utah, and a Responsible AI Faculty Fellow starting Spring 2025. His research focuses on human-centered computing tools to bridge communities and institutional experts in science and medicine, emphasizing digital health and citizen science. He holds a Ph.D. in Computer Science from UC San Diego (2013-2019) and postdoctoral roles at MIT (2022-2023) and Harvard University (2020-2022). Education: Ph.D. in Computer Science, UC San Diego (2013-2019) Postdoctoral Researcher, MIT (2022-2023) Postdoctoral Fellow, Harvard University (2020-2022) Research Interests: Designing systems for community-led scientific work Remote health assessment tools for neurological disorders Social platforms for public participation in policymaking Collaborations with rare disease communities and healthcare institutions Articles Trends: Recent work spans motor impairment monitoring in ataxia-telangiectasia, digital phenotyping in ALS, and citizen science platforms like Galileo. Earlier contributions include key-value store systems and microbiome research via the American Gut Project. Scientific Awards: 2019 School of Engineering Henry Booker Award for Exemplary Ethical Engineering Advising/Grants: Supervises PhD/MS/BS students on HCI projects in digital health and citizen science. Alumni include Jenny Yijun Zhan (MSD) and Gunasekhar Athuluri (CS MS). Teaches courses like 'Designing Digital Health Systems' and 'Designing Human-Centered Systems'. Labs/Teams: Leads a multidisciplinary group collaborating with medical experts, rare disorder communities, and institutions. Current projects include fine-finger tracking for motor performance analysis and platform design for participatory science.

Michael Dunbarمشاهده پروفایل

مدرس

• Regenerative Design
• Interaction and Service Design
• Data Visualization
• +۸ مورد دیگر

Dr. Michael (Miek) Dunbar is a Lecturer in Communication Design at RMIT University's School of Design , specializing in interaction and service design for regenerative futures. He co-leads the Greater Melbourne City Portrait initiative with Regen Melbourne, focusing on creating safe social and ecological urban frameworks. His work challenges anthropocentric data practices while developing digital public tools for urban decision-making. Key research areas include: Regenerative Design, More-than-human Data Sets, Collaborative Design Teams Teaching: Master of Communication Design program, Service Design, Work Integrated Learning His publications address urban data infrastructures, collaborative design methods, and regenerative practices. Projects like Australia's first Housing Monitor demonstrate his focus on civic data systems and urban sustainability. Current research explores: Relational ontologies in data visualization Multi-species sensing apparatuses Expanded participatory data governance

• Brain-Computer Interfaces
• Neuroscience
• Human-Computer Interaction
• +۳ مورد دیگر

Matt Russell is a PhD candidate in Computer Science at Tufts University, focusing on Brain-Computer Interfaces (BCI) within the Human-Computer Interaction Lab. His research emphasizes measuring mental workload via fNIRS and EEG, with applications in LLM-based interfaces and BCI design. He has taught Data Structures (C++) twice as a professor and served as a teaching assistant for multiple computer science courses. His work bridges neuroscience and engineering to enhance adaptive interface technologies. Education: PhD Candidate in Computer Science, Tufts University Research Interests: Russell’s multidisciplinary research explores implicit BCI design, mental workload analysis, and neuroergonomics. Key areas include fNIRS/EEG-based state classification, LLM interface integration, and real-time BCI systems for memory enhancement. His studies often involve human subject trials to evaluate cognitive and physiological responses. Publications: His articles span 2011 to 2025, focusing on neuroimaging techniques (fNIRS/EEG), BCI innovation, and HCI applications. Recent work explores AI collaboration impacts and low-cost EEG systems for cognitive task decoding. Teaching & Advising: Russell has instructed Data Structures (C++) and supported courses in graphics, cybersecurity, and concurrency. He actively contributes to pedagogical efforts in computer science education. Labs & Projects: His research is conducted in the Human-Computer Interaction Lab at Tufts, with open-source projects hosted on GitHub.

• Music Technology
• Music Psychology
• Embodied Music Cognition
• +۵ مورد دیگر

Alexander Refsum Jensenius is a Professor of Music Technology and Director of the RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion at the University of Oslo. He also leads the fourMs Lab and co-founded the MishMash Centre for AI and Creativity. His work bridges musicology, psychology, and technology, focusing on embodied music cognition, human motion analysis, and creative applications of AI. Notably, he pioneered research on air guitar motion and human micromotion through projects like the Oslo Standstill Database . Educated at the University of Oslo (BA in Music and Mathematics, MA in Musicology) and Chalmers University of Technology (MSc in Applied IT), Jensenius holds a PhD in Music Technology from UiO. He has held visiting researcher roles at UC Berkeley, McGill University, and KTH. Leadership roles include Department of Musicology Head (2013–2016) and Steering Committee Chair for the International Conference on New Interfaces for Musical Expression (NIME, 2011–2022). Research interests span music-related body motion, AI in creative contexts, and open research practices. Key contributions include the Music Moves and Motion Capture MOOCs, the Musical Gestures Toolbox software, and monographs like Sound Actions and Sonic Design . His work emphasizes interdisciplinary collaboration, with projects addressing ventilation systems' acoustic properties and cell culture vibrational effects. Awards include the European Open Data Champion recognition. He advocates for open science and maintains extensive digital archives of research materials, emphasizing institutional web pages as critical research infrastructure.