جست‌وجوی استاد و پژوهشگر

April Yi Wangمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Educational Technology
• Programming Support
• +۴ مورد دیگر

April Yi Wang is a tenure-track Assistant Professor in the Department of Computer Science at ETH Zürich, where she directs the Programming, Education, and Computer-Human Interaction Lab (PEACH Lab). She is a core faculty member at the Institute for Intelligent Interactive Systems and associated with the ETH AI Center. Wang is also an active member of ETH HCI and Swiss CHI communities, contributing significantly to human-computer interaction and educational technology research. Dr. Wang's educational background includes: Ph.D. in Information Science from University of Michigan (2023), advised by Steve Oney and Christopher Brooks M.Sc. in Computer Science from Simon Fraser University (2018), advised by Parmit Chilana B.Eng in Computer Science from Zhejiang University (2016) Dr. Wang's research focuses on human-centered approaches to programming and data science. Her work reimagines programming as a form of literature that communicates with both machines and people, exploring creative representations like text, shapes, animations, and everyday objects. She investigates how to make programming more natural and intuitive through literate programming environments, with applications in professional and educational contexts. Her research spans human-computer interaction, educational technology, and AI-assisted programming tools. Analysis of Dr. Wang's recent publications reveals a strong focus on AI-enhanced educational tools, particularly for programming and data literacy. Her work increasingly integrates large language models to scaffold learning while maintaining user agency. There's a clear trajectory toward developing situated learning approaches that connect abstract concepts to real-world contexts through augmented reality and tangible interfaces. Her research bridges HCI, education, and AI to create more accessible and engaging technical learning experiences. Dr. Wang has received numerous prestigious awards including: 2023 Gary M. Olson Award and Honourable Mention Award at ACM CHI 2022 Rising Stars in EECS and Heidelberg Laureate Forum Young Researcher 2020 Best Short Paper Award at IEEE VL/HCC and Honourable Mention at ACM CHI 2019 Best Paper Award at ACM CSCW Dr. Wang actively mentors students through thesis projects at ETH Zürich, supervising numerous bachelor's and master's students on topics ranging from AI-assisted programming to data literacy tools. Her lab, PEACH Lab, has secured funding including the recent innovedum funding for the Coducate project. She serves on program committees for major conferences including CHI and UIST, and regularly reviews for top HCI and education journals. The PEACH Lab, directed by Dr. Wang, focuses on creating expressive, intelligent, and human-centered systems that make technical topics more accessible. The lab explores textual, visual, and embodied representations for programming, with emphasis on enhancing communication, collaboration, and learning. Current research directions include balancing automation with user agency, supporting diverse learning needs, and developing tools for interdisciplinary technical communication.

Eytan Adarمشاهده پروفایل

استاد

• Human-Computer Interaction
• Artificial Intelligence
• Data Mining
• +۷ مورد دیگر

Eytan Adar is a Professor of Information and Computer Science at the University of Michigan, holding dual appointments in the School of Information and the College of Engineering's Electrical Engineering and Computer Science department. His work sits at the intersection of human-computer interaction and artificial intelligence, focusing on large-scale systems analysis and novel interface design. Adar's research spans multiple domains including social media analysis (Twitter, Reddit), academic citation networks, meme propagation, information extraction, and political networks. His methodological expertise includes data mining, data visualization, and graph-based network analysis. His work often operates at internet scale, examining language, creativity, social network dynamics, and text production. His recent publications reveal a strong focus on AI-human collaboration, with particular attention to generative AI interfaces, visualization techniques for complex data, and ethical considerations in AI systems. His work shows a consistent pattern of bridging theoretical insights with practical system implementations. Best Paper Award at ProtoAI: Model-Informed Prototyping for AI-Powered Interfaces, IUI'21 Honorable Mention Award at CHI'24 for feminist interaction techniques research Best Paper Award at ICWSM'18 for Wikipedia language edition analysis Best Paper Award at ICML 2016 Workshop for neural language model visualization Best Student Paper at WSDM'09 for web dynamics research Best of CHI at CHI 2008 for web revisitation patterns analysis Adar has advised numerous PhD students who have gone on to prominent positions at organizations including Google, Apple, RAND, Northwestern University, and Stanford. His research is generously supported by the NSF, IARPA, NIH, the Education Department, and major technology companies including Adobe, Microsoft, Facebook, Google, and Yahoo. He is also a founder of the International Conference on Web and Social Media (ICWSM) and has served as Co-General Chair for WSDM and Co-Program Chair for UIST.

• Market Design
• Mechanism Design
• Game Theory
• +۴ مورد دیگر

Marek Pycia serves as Professor of Organizational Economics at the University of Zurich and Co-Director of the Zurich Center for Market Design. His research has driven tangible policy impacts including the U.S. kidney-transplant voucher program and school system redesigns, with publications in premier journals like American Economic Review and Econometrica . His academic foundation includes a Ph.D. in Economics from the Massachusetts Institute of Technology (MIT), complemented by prior faculty roles at UCLA, Pennsylvania State University, and Leon Koźmiński Academy of Entrepreneurship and Management, plus a visiting fellowship at Princeton University. Professor Pycia specializes in Market Design and Mechanism Design , where he bridges theoretical microeconomics with real-world applications in healthcare allocation and educational systems. His work emphasizes strategyproofness , simplicity , and efficiency in matching markets, influencing both academic frameworks and practical policy implementations globally. Recent publications (2024-2025) reveal a concentrated focus on simplifying mechanism design for discrete environments, advancing double auction theory, and optimizing information structures in trade. These works consistently apply game-theoretic principles to solve complex allocation problems across healthcare, education, and financial markets. Key recognition includes: Research Fellow at the Centre for Economic Policy Research (CEPR) Editorial board membership at Theoretical Economics , Journal of Economic Theory , and Games and Economic Behavior While specific grant details remain unmentioned, his editorial leadership and center directorship indicate active research funding. He supervises graduate work through the University of Zurich’s economics programs, though no named students appear in the source text. The Zurich Center for Market Design, which he co-directs, functions as an interdisciplinary hub connecting theoretical research with practitioners in healthcare, education, and public policy to implement novel market mechanisms.

Yvonne Rogersمشاهده پروفایل

استاد

• Ubiquitous Computing
• Interaction Design
• Human-Computer Interaction
• +۱ مورد دیگر

Yvonne Rogers is a Professor of Interaction Design and Director of the UCL Interaction Centre (UCLIC), with a joint appointment as Deputy Head of the Department of Computer Science at University College London. She joined UCL in 2011 after holding professorships at the Open University (2006-2011) and Indiana University (2003-2006). Her pioneering work spans ubiquitous computing, interaction design, and human-computer interaction, with a current focus on human-centered AI. She co-authored the definitive 'Interaction Design' textbook (6 editions, 300,000+ copies) and serves as CTO of LetThink.com. Research interests center on designing technologies that enhance human cognition and daily activities: Ubiquitous Computing: Augmenting learning/work activities through pervasive technologies Human-AI Interaction: Developing AI systems that enhance human decision-making Health Technologies: Creating VR therapies and ADHD support systems Community Resilience: Designing tools for environmental monitoring and sustainable practices Publication analysis reveals three dominant trends: (1) VR applications for mental health (emotion regulation, ADHD support), (2) AI systems for cognitive augmentation, and (3) community-centered tools for healthcare/environmental challenges. Recent work demonstrates strong emphasis on vulnerable populations including children with ADHD, older adults, and postoperative patients. Major scientific recognition includes: International Member, National Academy of Engineering (2024) ACM SIGCHI Lifetime Research Award (2022) Royal Society Robin Milner Medal (2022) Royal Society Fellowship (2022) Microsoft Outstanding Collaborator Award MRC Suffrage and Science Award (2020) Triple Fellow status (ACM, BCS, CHI Academy) Advises PhD students including Leon Reicherts, Sheena Visram, and Tu Duong. Secured major grants including EPSRC Dream Fellowship on ageing/computing and led the Intel Collaborative Research Institute on Sustainable Connected Cities (2012-2018). Directs UCLIC research center and previously established the Pervasive Interaction Lab at Open University.

• Tangible computing
• Human-Computer Interaction (HCI)
• Accessible interfaces
• +۳ مورد دیگر

Andrés Cuervo-Rubio is a Part-time Lecturer at Parsons School of Design, The New School. They are an interdisciplinary artist, programmer, and HCI researcher based in Brooklyn. As a co-founder of Folk Computer, a research consultancy focused on tangible computing hardware/software and programming languages, they explore accessible interfaces and paper-based interaction systems. They advise the W3C Immersive Web Working Group (WebAR/VR/XR APIs) and have spoken at global JavaScript conferences since 2017. Education: BA in Computer Science, Oberlin College (2017) BA in Creative Writing, Oberlin College (2017) Research Interests: Focuses on material-based interaction design, bridging physical/digital systems through accessible technologies. Current work emphasizes tangible computing interfaces and inclusive design practices. Active in developing educational frameworks for dynamic content creation in design curricula. Teaching: Recently taught Core 1: Interaction (PUCD 2035) and Core 2: Interaction Studio (PUCD 2125). Upcoming courses include CD Foundations: Interaction (PSAM 1028) in Fall 2025 and CD Studio: Dynamic Content (PSAM 2090) in Spring 2026. Professional Engagement: Serves as technical advisor for immersive web standards and collaborates with industry on accessible XR solutions. Co-leads workshops on physical computing pedagogy.

Ian Miersمشاهده پروفایل

استادیار

• Computer Security
• Applied Cryptography
• Blockchain
• +۴ مورد دیگر

Ian Miers serves as an Assistant Professor in the Department of Computer Science at the University of Maryland, holding a joint appointment with the University of Maryland Institute for Advanced Computer Studies (UMIACS) and serving as a core faculty member of the Maryland Cybersecurity Center (MC2). His academic home resides within the Department of Computer Science, though the overarching college/school structure is not explicitly stated in available materials. His research program centers on applied cryptography with a context-driven methodology: starting from real-world security challenges to develop deployable cryptographic protocols. Key focus areas include blockchain privacy (notably Zerocoin/Zerocash), zero-knowledge proofs, anonymous credentials, and secure messaging systems. Miers emphasizes practical implementations that address subtle security requirements in production environments, bridging theoretical cryptography with tangible system security. Analysis of his 15 most recent publications reveals dominant trends in zero-knowledge proof scalability (zkSNARKs), privacy-preserving infrastructure for blockchains, and cryptographic solutions for content moderation in encrypted messaging. His work consistently targets deployable systems, with increasing focus on balancing privacy guarantees with accountability requirements in real-world applications. Miers actively recruits PhD students for hands-on research in his small lab, emphasizing direct collaboration on applied security and blockchain problems. As a founding scientist of Aleo, Bolt Labs, and Zcash, he translates academic research into commercial products, with his work receiving coverage from major media outlets including The Washington Post, The New York Times, and Wired.

Bertrand Schneiderمشاهده پروفایل

دانشیار

• Assessment
• Cognitive Development
• Evidence-Based Intervention
• +۱۰ مورد دیگر

Bertrand Schneider is an Associate Professor of Education at Harvard University's Graduate School of Education (GSE). He holds a Ph.D. in Learning Sciences and Technology Design from Stanford University (2015) and previously served as a postdoctoral researcher at Stanford's Transformative Learning Technologies Laboratory. His research focuses on educational interfaces (e.g., augmented reality, tangible tools) and multimodal learning analytics, particularly in collaborative and informal learning environments. He investigates how technologies like gaze-tracking and motion sensors can assess student learning trajectories and improve instructional strategies in makerspaces and remote teaching contexts. Education : Ph.D., Learning Sciences and Technology Design, Stanford University (2015) Postdoctoral Researcher, Transformative Learning Technologies Laboratory, Stanford University Research Interests : Educational technologies (AR, tangible interfaces, multitouch) Multimodal data analysis (gaze, body movement, speech) Collaborative learning in formal/informal settings Remote teaching strategies using shared gaze visualizations AI applications in personalized feedback and misinformation discernment Key Contributions : Developed methodologies for capturing joint visual attention in collaborative learning Advocated for ethical implementation of multimodal learning analytics Explored AR's dual-edged impact on student engagement and collaboration Labs/Teams : Current research aligns with GSE's focus on innovative learning technologies Prior affiliation with Stanford's Transformative Learning Technologies Lab

Michael S. Hornمشاهده پروفایل

استاد

• Human-Computer Interaction
• Educational Technology
• Learning Sciences
• +۴ مورد دیگر

Michael S. Horn is a Professor of Learning Sciences and Computer Science at Northwestern University, serving as Program Coordinator for Learning Sciences. He holds a PhD in Computer Science from Tufts University and a ScB in Computer Science from Brown University. His research focuses on the intersection of human-computer interaction and learning, emphasizing the use of emerging technologies in museums, classrooms, and informal settings. Notable projects include multi-touch tabletops in natural history museums, tangible programming languages for early education, and the TIDAL Lab’s innovative exhibits like Build-a-Tree and DeepTree. Education background includes: PhD in Computer Science (Tufts University, 2009) MS in Computer Science (Tufts University, 2006) ScB in Computer Science (Brown University, 1997) Research interests span tangible interaction design, computational literacy, and museum-based learning. He has led projects such as the ‘Energy Monsters’ board game and the TunePad music-coding platform. His work integrates technology with pedagogical practices to foster collaborative and exploratory learning environments. Active collaborations include the Computer History Museum and the California Academy of Sciences. Advising contributions include mentoring doctoral students like Dr. Mmachi Obiorah and Pei-Yi. His lab, TIDAL, explores interactive technologies for education, with grants from NSF and industry partnerships. Recent articles highlight innovations in computational thinking integration, music-coding hybrid practices, and AI-driven qualitative analysis.

Christine Mahoneyمشاهده پروفایل

استاد

• Social Justice Advocacy
• Political Science
• Racial Justice and Equity
• +۵ مورد دیگر

Christine Mahoney is a Professor of Public Policy and Politics and Chief Innovation Officer at the Frank Batten School of Leadership and Public Policy at the University of Virginia. She also serves as Director of the Tadler Program in Impact Investing in Appalachia, the UVA Environmental Institute-funded Climate Collaborative on Appalachian Renewable Energy & Resilience, and the EPA-funded Community Change project for economic development in Appalachia. Previously, she was an Assistant Professor at the Maxwell School of Syracuse University and Director of the Center for European Studies and the Maxwell EU Center. Dr. Mahoney earned her Ph.D. in Political Science from Pennsylvania State University in 2006, with fields of study in American politics, Comparative politics, and Research Methods & Statistical Analysis. She also completed her M.A. (2003) and B.A. (2001) in Political Science and International Politics, respectively, at Pennsylvania State University. Professor Mahoney specializes in social justice advocacy, activism, and direct action through social entrepreneurship. Her research focuses on how advocates shape public policy, with particular attention to lobbying strategies in powerful political systems like the United States and the European Union. She has conducted extensive fieldwork in seven conflict zones across Asia, Africa, Eastern Europe, and Latin America, studying the rights of forcibly displaced people and proposing innovative solutions through social entrepreneurship. Her work bridges political science with practical applications in impact investing and refugee integration, creating tangible pathways for social change through entrepreneurial approaches. Professor Mahoney's scholarly output reveals an evolution from comparative studies of advocacy systems to practical applications of social entrepreneurship for forcibly displaced populations. Her early work established foundational knowledge about lobbying in transatlantic political systems, while her more recent research has shifted toward actionable solutions for global displacement crises and sustainable community development. This trajectory demonstrates her commitment to translating academic insights into real-world impact, particularly through the lens of social entrepreneurship and impact investing. Fulbright Fellow Visiting Scholar at Oxford National Science Foundation grant recipient Emerging Scholar award from the American Political Science Association UVA's Public Impact-Focused Research Award Through Social Entrepreneurship at UVA (SE@UVA), which she founded and led for a decade (2011-2021), Professor Mahoney has mentored over 80 student social enterprise teams and supported more than 100 social entrepreneurs with over 38,400 hours of pro-bono consulting. She has secured $37.7 million in funding for programs addressing social and environmental challenges, including the Tadler Program in Appalachia that has made significant strides in advancing rural policy and economic development. Her work demonstrates a consistent commitment to connecting academic research with practical applications that address pressing social problems. Professor Mahoney leads several significant initiatives including the Refugee Investment Network, where she serves as fellow and advisor, and multiple UVA-based programs focused on social entrepreneurship, impact investing, and community development. Her interdisciplinary approach brings together policy experts, social entrepreneurs, impact investors, and community stakeholders to develop innovative solutions to complex social problems, particularly in the areas of refugee integration and rural economic development in Appalachia.

Golan Levinمشاهده پروفایل

استاد

• Interactive Art
• Digital Fabrication
• Information Visualization
• +۴ مورد دیگر

Golan Levin is Professor of Electronic Art at Carnegie Mellon University's School of Art, with courtesy appointments in the School of Design, School of Architecture, School of Computer Science, and Entertainment Technology Center. From 2009 to 2022, he served as Director and Co-Director of CMU's Frank-Ratchye STUDIO for Creative Inquiry, a laboratory dedicated to supporting atypical, anti-disciplinary research at the intersection of arts, science, technology, and culture. Levin's research spans interactive art, digital fabrication, information visualization, and generative design. He explores the critical potential of visualization, generative computation for expressive form, and how abstraction connects to realities beyond language. His practice engages interactive gestural robotics, nonverbal interaction aesthetics, and tactical applications of personal digital fabrication through responsive artifacts and media provocations that highlight human-machine relationships. His publications reveal consistent innovation in real-time audiovisual systems, interactive fabrication interfaces, and pedagogic tools for artists. Key trends include slit-scan video techniques, tangible augmented-reality performance, and noise-based visualizations, demonstrating his commitment to expanding human action vocabulary through digital media while bridging artistic expression with computational systems. Levin's work has received significant recognition: Permanent collection inclusion at Museum of Modern Art (MoMA) Whitney Biennial exhibition "50 Designers Shaping the Future" by Fast Company (2012) Competitive grants from National Endowment for the Arts, National Endowment for the Humanities, Creative Capital, and Rockefeller MAP Fund As an educator, Levin teaches "studio courses in computer science" on interactive art, experimental capture, and generative design, emphasizing computation as a medium for critical inquiry. His research funding from major cultural institutions supports interdisciplinary exploration at the arts-technology nexus. The Frank-Ratchye STUDIO for Creative Inquiry, which he directed for 13 years, remains a vital hub for anti-disciplinary collaboration, continuing his legacy of fostering creative agency through technology-infused artistic practice.

Michael Hornمشاهده پروفایل

استاد

• Educational Technology
• Computational Literacy
• Interactive Learning Environments
• +۳ مورد دیگر

Michael S. Horn is a Professor at Northwestern University with a joint appointment in Computer Science and the Learning Sciences. He directs the Tangible Interaction Design and Learning (TIDAL) Lab and coordinates the Learning Sciences PhD Program. His work focuses on leveraging interactive technology to design innovative learning experiences, such as tangible programming languages (e.g., Tern) and music-coding platforms (e.g., TunePad). He holds a PhD from Tufts University and has collaborated with institutions like the California Academy of Sciences and the Museum of Science, Boston. Education: PhD in Computer Science, Tufts University MS in Computer Science, Tufts University BS in Computer Science, Brown University Research Interests: Dr. Horn explores how emerging technologies can create engaging learning environments. His projects include museum exhibits (e.g., DeepTree, Build-a-Tree), educational tools for computational literacy (e.g., TunePad, Strawbies), and collaborative design with educators. Recent work emphasizes integrating music and coding to foster computational thinking. Publications: His recent work addresses computational thinking in STEM education, AI-driven qualitative analysis, and hybrid music-coding practices. Themes include equitable participation, teacher professional development, and immersive AR/VR tools for learning. Awards: Recipient of the 2018 Edith Ackermann Award for innovative work in child-computer interaction. His research has led to commercial products like Osmo Coding and Kibo Robotics. Grants & Labs: Principal investigator on NSF grants (e.g., #1612619, #1451762) and collaborator with labs like the Center for Connected Learning (CCL) and the Collaborative Technology Laboratory (CollabLab).

Bernhard Schölkopfمشاهده پروفایل

استاد

• Machine Learning
• Causal Inference
• Artificial Intelligence
• +۴ مورد دیگر

Bernhard Schölkopf is a Director at the Max Planck Institute for Intelligent Systems and holds a Professorship at ETH Zurich. He is one of Europe's leading researchers in Artificial Intelligence and serves as co-founder and president of ELLIS (European Laboratory for Learning and Intelligent Systems). His scientific interests focus on machine learning and causal inference, with applications spanning biomedical problems, computational photography, and astronomy. Schölkopf has conducted research at prestigious institutions including AT&T Bell Labs, GMD FIRST in Berlin, and Microsoft Research Cambridge before joining the Max Planck Society in 2001. Schölkopf's recent work examines the tangible risks of AI systems rather than speculative existential threats, highlighting important challenges including algorithmic bias, lack of transparency, privacy violations, worker exploitation, carbon footprint of AI systems, and job displacement across multiple publications in different languages. His scientific achievements have been recognized with numerous prestigious awards: Academy Prize of the Berlin-Brandenburg Academy of Sciences and Humanities Royal Society Milner Award Leibniz Award Koerber European Science Prize BBVA Foundation Frontiers of Knowledge Award Allen Newell Award Fellow of the ACM Fellow of the CIFAR Program "Learning in Machines and Brains" Schölkopf is a member of the German Academy of Sciences (Leopoldina) and co-founded the series of Machine Learning Summer Schools. His work bridges theoretical advances in machine learning with practical applications across diverse domains, while advocating for responsible AI development that addresses real-world challenges rather than speculative existential threats.

• Nursing
• Mental Health
• Occupational Health
• +۴ مورد دیگر

Aida Maria de Oliveira Cruz Mendes is a distinguished academic and researcher at the Coimbra School of Nursing, where she has maintained a continuous appointment since 1987. With over three decades of academic service, she has established herself as a leading expert in nursing science with particular specialization in mental health, occupational health, and sleep quality among healthcare professionals. She currently serves on the Scientific Council for Life and Health Sciences at the Foundation for Science and Technology, demonstrating her significant contribution to Portuguese scientific policy. Education background: PhD from University of Minho (1996-2000) Master's in Occupational Health and Hygiene from University of Coimbra Medical School (1992-1995) License in Mental Health and Psychiatric Nursing (1990-1991) Bachelor's degree in Nursing (1977-1980) Multiple specialized certifications in psycho-oncology, cognitive therapy, and qualitative research Dr. Mendes' research program demonstrates remarkable consistency in addressing critical issues in nursing practice and healthcare delivery. Her work spans mental health services evaluation, occupational health challenges faced by nursing staff, sleep quality determinants in healthcare settings, and innovative programs for healthy aging and retirement transition. She has developed expertise in both qualitative and quantitative methodologies, with numerous systematic reviews and intervention studies to her credit. Her research bridges clinical practice with health promotion initiatives, creating tangible impacts on nursing education and healthcare policy. Analysis of her recent publication trajectory reveals a sophisticated evolution in research focus. While maintaining consistent attention to nursing staff wellbeing (particularly regarding sleep quality and stress biomarkers), she has expanded into developing and evaluating health promotion programs, most notably the REATIVA program for retirement transition. Her work increasingly incorporates international collaborations and demonstrates methodological sophistication, with publications appearing in multiple languages (Portuguese, English, and Spanish) across diverse healthcare contexts. Research funding highlights: Active Retirement: study of a healthy ageing promotor program (2013-2015) funded by Foundation for Science and Technology Mental Health Education and Sensibilization: A School-based Intervention Program for Adolescents and Young (2011-2014) funded by Foundation for Science and Technology Dr. Mendes has supervised numerous graduate students and collaborated extensively with international research teams, particularly in European nursing education contexts. Her work on nurse professional competence assessment among newly graduated nurses demonstrates her commitment to advancing nursing education standards. She maintains active research partnerships with institutions across Portugal and internationally, contributing to both clinical practice improvements and healthcare policy development.

Sheelagh Carpendaleمشاهده پروفایل

استاد

• Information Visualization
• Interaction Design
• Human-Computer Interaction
• +۷ مورد دیگر

Sheelagh Carpendale is a Professor and Canada Research Chair in Information Visualization at Simon Fraser University's School of Computing Science. Her research focuses on Information Visualization, Interaction Design, and Human-Computer Interaction, with a strong emphasis on large display interaction, visual analytics, and personal visualization. She leads the Innovations in Visualization Interactive Experiences (ixLab) and has contributed to over 200 publications. Education: PhD (Computing Science, Simon Fraser University, 1999); BSc (Computing Science, Simon Fraser University, 1992). Research Interests: Dr. Carpendale's work bridges theory and practice, emphasizing user-centered design and interdisciplinary collaboration. Key areas include data physicalization (e.g., Kirigami-inspired visualizations), interactive technologies for healthcare, and educational tools like TangiBooks for programming concepts. Her lab explores novel interaction paradigms for large displays and mobile devices. Recognition: Recipient of the 2018 IEEE Visualization Career Award, numerous best paper awards, and leadership roles in conferences like IEEE VIS. Her contributions span academic, industrial, and public engagement contexts, including projects on clinical decision support and public data literacy. Grants & Labs: Active in securing research grants for projects like the Arctic Movement visualization and Energy Data initiatives. The ixLab collaborates with artists, scientists, and healthcare professionals to create impactful visualizations.

Jill Hernandezمشاهده پروفایل

استاد

• Ethics
• Applied Ethics
• Social Ethics
• +۳ مورد دیگر

Jill Hernandez serves as Dean of the Honors College and holds the academic rank of Professor at Texas Tech University. A Ph.D. in Philosophy, she leads the Honors College with expertise in ethical frameworks while maintaining active scholarly engagement. Education Ph.D. in Philosophy Research Focus Her scholarship centers on ethical dilemmas impacting global systems, interpersonal dynamics, and community structures. Dr. Hernandez examines practical applications of moral philosophy in real-world contexts, emphasizing justice, relational integrity, and communal cohesion through rigorous philosophical analysis. Her work bridges theoretical ethics with tangible societal challenges. Administrative Leadership As Dean, she oversees the Honors College's academic programs from McClellan Hall (202A), driving initiatives that foster intellectual excellence among Red Raider scholars while integrating her philosophical expertise into institutional leadership.