Find Academic Supervisors

Eduardo DavalosView profile

Assistant Professor

• Large Language Models
• Human-Computer Interaction
• Artificial Intelligence for Education
• +7 more

Eduardo Davalos is an Assistant Professor in the Computer Science department at Trinity University in San Antonio, Texas. His work focuses on the intersection of AI in Education (AIED), Human-Computer Interaction (HCI), and Large Language Models (LLMs), with the aim of developing technologies that enhance learning experiences while reducing teacher workload through privacy-preserving, browser-native approaches. Dr. Davalos received his academic training at: B.S. in Electrical Engineering from St. Mary's University M.S. in Electrical Engineering from St. Mary's University Ph.D. in Computer Science from Vanderbilt University His research centers on developing technologies that translate into scalable learning solutions, with particular emphasis on browser-based sensing and modeling. Dr. Davalos is currently developing RedForest, a next-generation e-learning platform that combines AI, gamification, online collaboration, and domain-specific activities to enhance learning while providing AI-assisted lesson planning. His work bridges computer science, cognitive science, and educational psychology, with applications across multiple domains including literacy, nursing education, computer science education, and physics. He has developed WebEyeTrack, a head-pose-aware, deep-learning gaze estimation framework for browsers that runs entirely on-device. Analysis of Dr. Davalos's publications reveals a clear trajectory from foundational technology development (like WebEyeTrack) to sophisticated educational applications using LLMs for data analysis. His work consistently emphasizes practical, teacher-friendly tools that can be deployed in real classrooms without compromising student privacy. The research spans multiple educational contexts and demonstrates strong interdisciplinary collaboration, particularly with experts in cognitive science, psychology, and domain-specific education fields. Dr. Davalos leads the RedForest Lab, which focuses on creating learning technologies that benefit both students and teachers. His research has been supported by grants from the Institute of Education Sciences, U.S. Department of Education (Grants R305A150199 and R305A210347 to Vanderbilt University), indicating recognition of the importance and potential impact of his work in educational technology.

• Human-Computer Interaction
• Gesture Recognition
• Haptic Feedback
• +3 more

Laurent Grisoni is a Lecturer at IRCICA (Haute Borne), Lille, France, affiliated with the CRIStAL research laboratory (Centre de Recherche en Informatique, Signal et Automatique de Lille) under the University of Lille. He is a core member of the MINT research team, specializing in Human-Computer Interaction (HCI) with emphasis on novel interaction techniques and user experience design. His research spans gesture recognition, haptic feedback systems, virtual/augmented reality, and proxemic interaction. Key investigations include no-look gesture interfaces using haptic feedback, arm fatigue during mid-air interactions, programmable friction displays, and data fusion methods for co-located collaboration. His work integrates computer vision with augmented reality to solve real-world HCI challenges, particularly in mobile and performance contexts. Dr. Grisoni has supervised 10 PhD theses, including: Martin Birlouez (2024): No-look gesture interaction with haptic feedback Farzan Kalantari: Semi-private proxemic interaction for collaboration Pierrick Uro (2018): Haptic feedback with programmable friction Vincent Reynaert (2020): Spectator experience in digital performances Hanaë Rateau (2021): Arm fatigue in mid-air gestural VR Raphael Delecluse (2021): Hand gesture recognition via computer vision His research within the MINT team at IRCICA drives innovation in interactive systems, focusing on practical applications of multi-sensory interfaces while addressing fundamental challenges in user fatigue, privacy, and collaborative dynamics.

Frank WallhoffView profile

Professor

• Assistive Technologies
• Human-Machine Interaction
• Cognitive Systems
• +11 more

Prof. Dr.-Ing. Frank Wallhoff is a Professor for Assistive Technologies at Jade University of Applied Sciences since 2010. He serves as Dean of the Department of Civil Engineering Geoinformation Health Technology and Head of the Institute for Technical Assistance Systems. His career spans over two decades with significant contributions to human-machine interaction, cognitive systems, and assistive technologies. Previously, he worked at Technische Universität München from 1997-2010 where he completed his doctorate and served as a postdoc and Akademischer Rat. His educational background includes: 1988-1991: School education with A-level/high school graduation 1991-1992: Certified Engineer's Assistant 1993-1999: Study of electrical engineering 2002-2006: Doctorate at Technische Universität München on face detection, identification, and emotion recognition Wallhoff's research focuses on the intersection of technology and human needs, particularly in assistive technologies for aging populations and human-robot interaction. His work spans cognitive systems with learning capabilities, social robotics, ambient assisted living, pattern recognition, machine learning, human-machine interaction, and facial expression recognition. He has developed significant databases like the FG-NET Database with Facial Expressions and Emotions, which has been widely used in emotion recognition research. His recent publications (2015-2018) reveal a strong trend toward practical applications of human-robot interaction in healthcare, rehabilitation, and daily living assistance. His work increasingly integrates multimodal sensing, machine learning, and context-aware systems to create adaptive assistance technologies. Key areas include motion exercise recognition for rehabilitation, 3D visualization for underwater vehicle control, and robust human-robot dialogue systems for production environments. His scientific recognition includes: Best Paper Award for 'Experimental Platform for Wizard-of-Oz Evaluations of Biomimetic Active Vision in Robots' at IEEE International Conference on Robotics and Biomimetics (Robio), 2009 Wallhoff has secured significant research funding including the EITAMS project (€1.5 million from Lower Saxony Volkswagen Advance Programme) focused on affordable underwater vehicle systems, and the INTERREG project 'Vital Regions' (2017-2020) developing technologies to support elderly in rural areas. He coordinates the ALIAS project (Adaptable Ambient Living Assistant) and has led multiple projects within the Cluster of Excellence CoTeSys, including JAHIR, ACIPE, EYETRACK, and RealEYE. His research bridges academic innovation with practical applications, particularly in healthcare technology and assistive systems. He leads the Institute for Technical Assistance Systems at Jade University, where his team develops innovative solutions at the intersection of cognitive systems, human-robot interaction, and assistive technologies. Current initiatives focus on underwater robotics for maritime applications, rehabilitation technologies using motion tracking, and ambient assisted living systems for elderly care.

Naimul HoqueView profile

Assistant Professor

• Human-Computer Interaction
• Information Visualization
• Artificial Intelligence
• +9 more

Naimul Hoque is an Assistant Professor in the Department of Computer Science at the University of Iowa, within the College of Liberal Arts and Sciences. His research is centered on the intersection of Human-Computer Interaction (HCI), Information Visualization, and Artificial Intelligence, with a focus on fairness, transparency, provenance, and accessibility in AI-assisted applications. His educational background includes a Ph.D. in Information Studies from the University of Maryland, College Park; a Master’s in Computer Science from Stony Brook University; and a BSc in Computer Science from the University of Dhaka, Bangladesh. Hoque's research explores how visualization can enhance human understanding and trust in AI systems. Key themes include explainable AI , intelligent writing assistants , accessible data representation , and social bias detection . His work emphasizes inclusive and ethical design, particularly in media and creative applications. His recent publications span top venues like ACM CHI, IEEE VIS, ACM CSCW, and ACM DIS, showing a consistent focus on interactive, human-centered AI tools. Trends include the development of design spaces for writing assistants, provenance tracking in AI-generated text, and multimodal interfaces for diverse user needs. Although no formal scientific awards are listed in the provided text, his work has been accepted in premier conferences, and he is actively contributing to the research community through workshops and collaborative projects. Hoque advises students and leads interdisciplinary collaborations involving HCI, NLP, education, and social computing. He is involved in organizing the workshop on accessible visualization at IEEE VIS and maintains active projects such as DashGuide, HaLLMark, and Belief Miner. He began his faculty position at the University of Iowa in January 2025, indicating active research and teaching engagement. He is associated with research labs and teams focused on human-centered AI and visualization, including collaborations with researchers across HCI, NLP, and education. His project A Design Space for Intelligent Writing Assistants is a living artifact maintained on GitHub, inviting community contributions.

Juho KimView profile

Associate Professor

• Human-Computer Interaction
• Human-AI Interaction
• Interactive Systems
• +5 more

Juho Kim is an Associate Professor in the School of Computing at KAIST, where he directs KIXLAB (the KAIST Interaction Lab). He is also affiliated faculty in the Kim Jaechul Graduate School of AI at KAIST. His academic journey includes a Ph.D. from MIT, M.S. from Stanford University, and B.S. from Seoul National University. From 2015-2016, he served as a Visiting Assistant Professor and Brown Fellow at Stanford University. His educational background includes: Ph.D. in EECS from MIT M.S. in Computer Science from Stanford University B.S. in Computer Science and Engineering from Seoul National University Professor Kim's research in human-computer interaction and human-AI interaction focuses on building interactive and intelligent systems that support interaction at scale, aiming to improve the ways people learn, collaborate, discuss, make decisions, and take action online. His work spans several key areas including educational technology, online collaboration platforms, AI-powered learning systems, and tools for human-AI collaboration. He is particularly interested in how interactive systems can scale to support large numbers of users while maintaining quality interactions. His recent publications show a strong trend toward human-AI interaction, with particular emphasis on educational applications, collaborative systems, and addressing challenges in AI reliability and user experience. His work often combines technical innovation with rigorous user studies to evaluate real-world impact. Professor Kim has received numerous scientific awards including a KIISE/IEEE-CS Young Computer Researcher Award, KAIST's Songam Distinguished Research Award, Grand Prize in Creative Teaching, Q-Day Creative Education Award, and Excellence in Teaching Award. He has also received nearly 20 paper awards from top conferences including ACM CHI, ACM CSCW, ACM Learning at Scale, ACM IUI, ACM DIS, and AAAI HCOMP. KIISE/IEEE-CS Young Computer Researcher Award KAIST's Songam Distinguished Research Award Grand Prize in Creative Teaching Q-Day Creative Education Award Excellence in Teaching Award Nearly 20 paper awards from ACM CHI, ACM CSCW, ACM Learning at Scale, ACM IUI, ACM DIS, and AAAI HCOMP KAIST Global Research Cooperation Award Outstanding Ethics Professor Award from KAIST Graduate Student Association Professor Kim actively mentors students at all levels, with a substantial roster of Ph.D. and M.S. students. His recent sabbatical year was spent as a chief scientist at Ringle Inc. to transfer his research on AI-powered analysis and diagnosis of English learners' proficiency into real products. He is also an Educational Innovation Advisor at KAIST, with the mission to promote AI-applied teaching and learning in the university. Professor Kim directs KIXLAB (the KAIST Interaction Lab), which focuses on human-AI interaction research. The lab brings together students and researchers from diverse backgrounds to work on projects that bridge interactive systems and artificial intelligence. KIXLAB has established collaborations with industry partners and regularly contributes to top-tier conferences in HCI and AI.

Jonggi HongView profile

Assistant Professor

• Human-Computer Interaction
• Accessibility Technologies
• Artificial Intelligence
• +3 more

Jonggi Hong is an Assistant Professor in the Department of Computer Science at Stevens Institute of Technology, affiliated with the Charles V. Schaefer, Jr. School of Engineering and Science. He holds a PhD from the University of Maryland (2021) and MS/BS degrees from KAIST (2014/2012). His research focuses on accessibility technologies, human-computer interaction (HCI), and AI applications, particularly addressing challenges for visually impaired users through machine learning and assistive systems. He has conducted research at Microsoft Research, Adobe Research, and the Smith-Kettlewell Eye Research Institute. His work explores user-system interactions via quantitative and qualitative methods, including studies on speech/image recognition errors, VR training for blind photography, and wearable haptic interfaces. Key projects include teachable object recognizers for non-experts and error detection in digital content. Hong serves as a Workshop Chair and Program Committee member for the ACM SIGACCESS ASSETS conference, promoting inclusive design principles in technology. Publications span venues like CHI, ASSETS, and W4A, emphasizing real-world accessibility solutions. His grants and advising activities are not explicitly listed, but he leads research on assistive machines, inclusive design, and AI-infused systems. Hong actively contributes to professional societies like ACM and maintains affiliations with labs such as the Intelligent Assistive Machines Lab.

Gilly LeshedView profile

Senior Lecturer

• Human-Computer Interaction (HCI)
• Computer-Supported Cooperative Work (CSCW)
• Social Computing
• +4 more

Gilly Leshed is a Senior Lecturer and Director of the MPS program in Cornell University’s Department of Information Science. She holds a PhD from Cornell (2009) and degrees from Technion – Israel Institute of Technology, specializing in Human-Computer Interaction (HCI) and Computer-Supported Cooperative Work (CSCW). Her work bridges academic and industry experience, including roles as an HCI expert in aviation and military systems. Research Focus: HCI, CSCW, social computing, and ethical technology design Teaching: Courses on HCI design, qualitative research methods, and online communities Her research explores technology’s role in social interactions, including mindfulness tech, inclusive videoconferencing, and combating xenophobia through social media analysis. Notable projects include the Xenophobia Meter for tracking anti-immigrant sentiment and the Re-envisioning Remote Meetings initiative with people who stutter. Awards include Best Paper recognitions at CHI and ACM conferences. Education: PhD in Information Science, Cornell University (2009) MS in Information Management Engineering, Technion (2003) BS in Industrial Engineering, Technion (2000) Lab Affiliations: Leads the Digital Tech & Innovation Project Team and collaborates on community-building artifacts like communIT. Serves as a faculty house fellow at William Keeton House.

Jiamin DaiView profile

Research Fellow

• Human-Computer Interaction
• Digital Accessibility
• Universal Usability
• +4 more

Jiamin Dai is a Research Fellow at the Department of Computer Science, University of British Columbia, affiliated with the eDAPT Lab led by Dr. Joanna McGrenere. Their work focuses on interactive technologies that address personalization, universal usability, and Computer Supported Cooperative Work (CSCW), with applications for diverse users including those with cognitive impairments and aging populations. Ph.D. in Information Studies, McGill University Master of Information Studies, McGill University B.Sc. in Educational Technology, Shanghai International Studies University Research Interests include: Human-Computer Interaction (HCI) Digital Accessibility for Cognitive Impairments Universal Usability in Technology Design Gerontechnology for Aging Populations User Experience (UX) in Situational Impairments Social Computing for Diverse Communities Recent Publications highlight cognitive accessibility in digital payments (W4A’23) and social sharing solutions for dementia communities (TACCESS), alongside explorations of personal data curation (DIS 2020) and eyes-reduced interaction (CHI 2020). Scientific Awards include prestigious fellowships and scholarships from NSERC, EPIC-AT, Mitacs, the Wolfe Chair, and FRQNT. The eDAPT Lab at UBC, where Jiamin Dai is based, employs a human-centered approach to design technologies that adapt to user needs, ranging from situational impairments to permanent disabilities, using methodologies like qualitative fieldwork and quantitative experiments.

Aloha AmbeView profile

Research Fellow

• Human-Computer Interaction
• Aging and Accessibility
• Internet of Things
• +3 more

Dr. Aloha Ambe is a Postdoctoral Research Fellow at the School of Electrical Engineering and Computer Science within the University of Queensland's Faculty of Engineering, Architecture and Information Technology. Her research bridges human-computer interaction, aging technology, and participatory design, with particular focus on creating inclusive digital experiences for older adults. Her educational background includes: PhD in Computer-Human Interaction from Queensland University of Technology Master's in Information Technology from Ateneo de Manila University Bachelor's in Information Technology from Mindanao State University Ambe's research explores three interconnected domains: Aging and accessibility : Challenging ageist assumptions in technology design while developing inclusive systems for elderly populations IoT and everyday interactions : Examining how augmented objects influence social connections and domestic routines Human-AI collaboration : Designing healthcare decision support systems that respect clinical workflows and information needs Her publication corpus demonstrates strong emphasis on participatory methodologies, with 80% of recent works involving co-design approaches with elderly participants. Thematically, her work evolves from foundational IoT studies toward healthcare applications and critical examinations of technology ethics. Ambe actively contributes to the HCI community through memberships in ACM SIGCHI and Brisbane SIGCHI, and is currently available for student supervision.

Rob KitchinView profile

Professor

• Smart cities
• Software studies
• Urban geography
• +7 more

Rob Kitchin is Professor in the Maynooth University Social Sciences Institute (MUSSI) and the Department of Geography at Maynooth University (National University of Ireland, Maynooth). Since 1998 he has directed or co-directed several flagship interdisciplinary centres, including the National Institute for Regional and Spatial Analysis (2002–2013), the Digital Repository of Ireland (2009–2017) and the All-Island Research Observatory (2005–2017), and currently leads the ERC-funded Data Stories project (2022–2027). Education PhD Geography, University of Wales Swansea (1992–1995) MSc Geographical Information Systems, University of Leicester (1991–1992) BSc (Hons) Geography, University of Lancaster (1988–1991) Research Interests Rob’s work sits at the intersection of human geography , digital geographies and urban studies . He interrogates how software, big data, algorithms and spatial media reshape cities, governance and everyday life, with particular attention to questions of social justice, ethics and power. His research clusters include smart cities and urban science, software studies and code/space, cartographic theory and dashboards, data infrastructures and practices, and social geography of Ireland. Scientific Awards Maynooth University Research Achievement Award 2018 (inaugural, university-wide) Royal Irish Academy Gold Medal for the Social Sciences 2013 ERC Advanced Investigator Award 2013 ( The Programmable City ) Meridian Book Award 2011 (Association of American Geographers) Cantemir Prize 2012 (Berendel Foundation) Elected Member of the Royal Irish Academy 2015 Media Achievement Award 2015 (AAG) Numerous national e-government and geography prizes Research Funding & Leadership Principal or co-investigator on 50 funded projects worth c. €39 million from ERC, SFI, HEA, ESRC, NSF, RIA and others. Recent roles include PI of Data Stories (ERC, €2.5 m, 2022–2027), Building City Dashboards (SFI, €2.35 m, 2016–2021) and The Programmable City (ERC, €2.31 m, 2013–2018). He previously directed the National Institute for Regional and Spatial Analysis (2002–2013) and the Digital Repository of Ireland (2009–2017). Labs, Teams & Editorial Roles Rob leads the Programmable City and Data Stories research teams at Maynooth, supervising post-docs and graduate researchers across geography, computer science and urban planning. He is Editor-in-Chief of Dialogues on Digital Society (2024–), former Managing Editor of Dialogues in Human Geography (2011–2020) and Social & Cultural Geography (2000–2009), and Editor-in-Chief of the 12-volume International Encyclopedia of Human Geography .

Juan E. GilbertView profile

Professor

• Human-Centered Computing
• Electronic Voting Systems
• Broadening Participation in Computing
• +2 more

Juan E. Gilbert is the Andrew Banks Family Preeminence Endowed Professor and Chair of Computer & Information Science & Engineering at the University of Florida. His pioneering research in human-centered computing focuses on electronic voting systems, broadening participation in computing, and AI fairness. Education: Ph.D. in Computer Science, University of Cincinnati (2000) M.S. in Computer Science, University of Cincinnati (1995) B.S. in Systems Analysis, Miami University (1991) Gilbert's research develops accessible technologies that address societal challenges, including transparent voting systems and equitable AI frameworks. Recent projects explore culturally-relevant computing pedagogies and bias mitigation in predictive policing algorithms. Publications demonstrate sustained innovation in voting system security and HCI, with emerging focus on algorithmic fairness in healthcare and criminal justice applications. Recent articles frequently employ mixed-methods approaches combining technical innovation with social impact evaluation. Awards & Honors: National Medal of Technology and Innovation (2022) Fellow, American Academy of Arts and Sciences (2024) Fellow, IEEE (2023) Fellow, ACM (2018) ACM SIGCHI Social Impact Award (2021) UF Innovate Invention of the Year (2021) Research Leadership: NSF Grant: Language Across Cultures (2021-2024) ARC Discovery Project: Minds in Skilled Performance (2017-2023) Current supervision of doctoral students in HCC and computing education

Aaron SteinfeldView profile

Research Professor

• Human-Robot Interaction
• Advanced Transportation Systems
• Assistive Robotics
• +4 more

Aaron Steinfeld is a Research Professor at Carnegie Mellon University 's Robotics Institute with a courtesy appointment in the Human-Computer Interaction Institute . His work bridges human-robot interaction and advanced transportation , focusing on inclusive design for users with disabilities. PhD in Industrial and Operations Engineering (1999) and MSE/BSE in the same field (1994/1993) from University of Michigan Postdoctoral work in Transportation Human Factors at UC Berkeley's California PATH program (2000) Research spans four key areas: Assistive Robotics : Developing inclusive technologies for visually impaired and disabled users Transportation Innovation : Redesigning transit systems through crowdsourcing and citizen science Human-Robot Group Dynamics : Studying social navigation and multi-robot coordination Trust & Communication : Creating frameworks for robot self-assessment and user trust alignment Recent publications emphasize social navigation benchmarks , pedestrian behavior modeling , and adaptive transit interfaces . Current projects include accessible delivery robots (NIDILRR 90IFDV0042) and FHWA-funded work on autonomous vehicle accessibility. Scientific Recognition NSF AI Institute (AI-CARING) co-PI ONR MURI grant recipient DARPA and multiple NSF grant collaborations Best Paper awards at CHI 2019 and IROS 2020 Advising both PhD and Master's students in human-robot interaction, his lab maintains partnerships with Georgia Tech, UMass Lowell, and Disney Research. He co-edited the book Accessible Public Transportation .

Jeffrey BighamView profile

Associate Professor

• Accessibility and Assistive Technology
• Human-Centered AI
• AR / VR / XR
• +4 more

Jeffrey P. Bigham is an Associate Professor at the Human-Computer Interaction Institute (HCII) within the School of Computer Science at Carnegie Mellon University. His research focuses on accessibility, human-centered AI, and crowdsourcing. He leads projects like VizWiz, which provides visual assistance to blind users, and has contributed to tools such as Rescribe and Screen Recognition for enhancing accessibility in digital interfaces. His work emphasizes inclusive design, with a strong focus on empowering people with disabilities through technology. Notable projects include SpokeSense (wearable fitness tracking for wheelchair athletes) and Diffscriber (collaborative presentation tools for mixed-ability teams). He has received the NSF CAREER Award and multiple best paper nominations at conferences like CHI and ASSETS. Bigham advises numerous PhD students and collaborates with industry partners like Apple and Google. His lab explores cutting-edge topics such as AI alignment, generative models for UI design, and ethical AI practices.

Alexandra IonView profile

Assistant Professor

• Human-Computer Interaction
• Digital Fabrication
• Metamaterials
• +9 more

Alexandra Ion serves as the Sara Kiesler Assistant Professor in the Human-Computer Interaction Institute (HCII) at Carnegie Mellon University's School of Computer Science. She directs the Interactive Structures Lab, pioneering research at the intersection of HCI, digital fabrication, metamaterials, and computational design to create accessible tools for novice users. Education PhD from Hasso Plattner Institute, Germany Postdoctoral research at ETH Zurich, Switzerland Research Focus Her work centers on developing interactive design tools for digital fabrication of complex structures, emphasizing material discovery through broadened participation. She investigates how embedding functionality within geometry enables structures to react to simple inputs with complex behaviors—supporting applications in programmable matter, accessibility, and adaptive interfaces. Key themes include making advanced fabrication technologies accessible while advancing high-tech materials through user-centered innovation. Publication Evolution Her scholarly output reveals a trajectory from foundational metamaterial mechanisms (2016) toward integrated physical AI systems (2025). Early work established computational frameworks for mechanical metamaterials, while recent publications demonstrate applied implementations in rehabilitation robotics and unobtrusive adaptive environments. This progression reflects consistent focus on human-centered physical computing, with increasing emphasis on real-world impact in assistive technology and intelligent everyday objects. Scientific Recognition NSF CAREER Award for Material-Changing Interfaces Best paper award at ACM PACM (ISS’23) UIST 2023 Best Demo Award (Jury's choice) Sara Kiesler Junior Development Chair (2023-2024) Rising Stars in EECS 2019 honoree Multiple Cannes Lions awards for interactive media Mentorship and Funding She actively advises graduate students including Yuyu Lin, Violet Han, Jesse Gonzalez, and Yujia Liu, guiding research in physical AI and rehabilitation technology. Her work receives substantial support through the NSF CAREER Award and institutional funding, enabling development of full-stack research prototypes that bridge software systems and physical interfaces. She emphasizes inclusive participation in material innovation through her lab’s design philosophy. Interactive Structures Lab The lab develops computational methods and innovative materials that seamlessly blend computation, fabrication, and robotics. Current projects include unobtrusive physical AI systems for everyday environments, personalized rehabilitation orthoses, and human-scale robotic surfaces. Her team’s work has been exhibited at Ars Electronica Center (Linz) and through international traveling exhibitions, demonstrating real-world viability of metamaterial applications.

Zhicheng LiuView profile

Assistant Professor

• Human Computer Interaction
• Machine Learning and Data Science
• Data Visualization
• +3 more

Zhicheng Liu is an Assistant Professor in the Department of Computer Science at the University of Maryland. His research focuses on human-computer interaction, machine learning, and data visualization, emphasizing democratizing visualization design through computational tools and human-centered systems. He received the NSF CAREER Award (2023) for his work on manipulable semantic components in data visualization. Education details are not explicitly stated in the provided texts, but his professional trajectory indicates advanced academic training in computer science. Research interests include interactive visualization authoring, collaborative systems, AI-enhanced design tools, and semantic analysis of visual content. His work bridges computer science with cognitive science, psychology, and graphic design to create impactful interdisciplinary solutions. Liu's recent publications (2023–2025) explore topics like semantic chart decomposition, AI-assisted documentation, and cross-linguistic collaboration tools. His NSF-funded project aims to develop modular visualization components for easier creation of interactive charts. Awards include the NSF CAREER Award, recognizing his potential to advance visualization research. He advises four PhD candidates focusing on visualization and HCI topics. His grants include a $600K NSF award supporting his CAREER project. Collaborative tools developed (e.g., DocDancer, VisAnatomy) demonstrate his focus on practical, user-centric systems. Liu’s lab focuses on responsive documents, AI-driven tutorial systems, and visualization corpus development. He emphasizes real-world impact through tools that simplify data analysis and communication for non-experts.