جستجوی استاد راهنمای دانشگاهی

Josiah Hesterمشاهده پروفایل

دانشیار

• Sustainable Computing
• Battery-Free Systems
• Intermittent Computing
• +۷ مورد دیگر

Josiah Hester is Associate Professor of Interactive Computing and Computer Science at Georgia Tech's College of Computing, where he also directs the Center for Advancing Responsible Computing and the Ka Moamoa – Ubiquitous and Mobile Computing Lab . His research focuses on sustainable, battery-free computing systems for health, conservation, and education, informed by his Native Hawaiian heritage. Education: Ph.D. in Computer Science, Clemson University, 2017 B.S. in Computer Science, Clemson University Honors College, 2011 Research Interests: Hester’s group pioneers intermittent computing —devices that harvest ambient energy (solar, radio, thermal, microbial) and operate reliably despite frequent power loss. Applications span: Large-scale conservation sensing with Indigenous communities Battery-free health wearables (smart masks, implantables) Educational tools for sustainable design Carbon-aware IoT and recyclable robotics Recent Work & Trends: His 2024–2025 publications unveil soil-powered sensors, recyclable electronics, and culturally-grounded CS education tools. A consistent theme is co-design with underserved communities and embedding sustainability metrics at every layer—from hardware to curriculum. Scientific Awards: Presidential Early Career Award for Scientists and Engineers (PECASE) – 2025 Alfred P. Sloan Fellowship – 2022 NSF CAREER Award – 2022 Popular Science “Brilliant 10” – 2021 3M Non-Tenured Faculty Award – 2021 Multiple best-paper & best-presentation awards Grants & Teams: Hester’s lab is supported by >$50 million in active funding from NSF, NIH (ARPA-H), DARPA, DoD, Sloan, VMware, and 3M. He leads interdisciplinary teams on projects such as: $35 million ARPA-H bioelectronics initiative for diabetes and cancer $5 million NSF “Coastlines and People” Hub for Manoomin conservation $2 million NSF-DELPHI sustainable edge device design Laboratory & Mentorship: The Ka Moamoa Lab (named with Hawaiian meaning “lamp of the moamoa fish”) hosts graduate, undergraduate, and post-doctoral researchers. Hester actively recruits Native and Indigenous students and has mentored award-winning advisees such as Nivedita Arora (ACM Doctoral Dissertation Award 2024).

Ming Yinمشاهده پروفایل

دانشیار

• Social Computing
• Crowdsourcing
• Human-AI Interaction
• +۶ مورد دیگر

Ming Yin is an Associate Professor in the Department of Computer Science at Purdue University. Her research bridges human-computer interaction, applied artificial intelligence, computational social science, and behavioral sciences. She focuses on leveraging human behavior data to design intelligent systems that balance machine efficiency with human understanding, trust, and engagement. Education : PhD in Computer Science (Harvard University, 2017), B.E. in Computer Software (Tsinghua University, 2011) Previous Roles : Postdoctoral researcher at Microsoft Research New York City (2017–2018) Teaching : Courses on AI, Human-AI Interaction, Data Mining, and Human-Centered Computing Research Interests center on social computing, crowdsourcing, human-AI interaction, and ethical AI. She employs experimental and computational methods to study how human behavior can improve AI systems' design, fairness, and user trust. Her work has significant implications for gig economy platforms, decision support systems, and algorithmic accountability. Scientific Contributions include over 15 recent articles in top venues like CHI, IJCAI, and ACL. These works explore topics such as LLM-driven trust calibration, adversarial social influence, and ethical AI design. Her research has been recognized with the NSF CAREER Award Siebel Scholar (Class of 2017) Multiple Best Paper and Honorable Mention Awards at CHI, CSCW, and HCOMP Teaching Expertise spans courses like Introduction to Artificial Intelligence (CS 471), Human-AI Interaction (CS 592-HAI), and Data Mining (CS 573). She emphasizes project-based learning and designing systems for real-world problems, such as "learning in a new era" in her 2025 HCI course.

Elahe Soltanaghaiمشاهده پروفایل

استادیار

• Wireless Sensing
• Cyber-Physical Systems
• Internet of Things (IoT)
• +۱۲ مورد دیگر

Elahe Soltanaghai is an Assistant Professor in the Department of Computer Science and a Faculty Affiliate in Electrical and Computer Engineering at the University of Illinois Urbana-Champaign. She is also a 2022 NCSA Fellow and received her PhD in Computer Science from the University of Virginia (2019), MS in Computer Engineering from Sharif University of Technology (2014), and dual BS degrees in Computer and Information Technology Engineering from Amirkabir University of Technology (2011, 2013). PhD: University of Virginia, Computer Science, 2019 MS: Sharif University of Technology, Computer Engineering, 2014 BS (Computer Engineering): Amirkabir University of Technology, 2011 BS (Information Technology Engineering): Amirkabir University of Technology, 2013 Her research spans wireless sensing and communication, focusing on Millimeter-wave Radar Sensing (for automotive, mixed reality, structural monitoring), Machine Learning for Wireless Systems (adaptive sensing/communication), Forest IoT (through-canopy biomass and soil sensing), Metaverse Technologies (gaze-based VR/AR), and Low-Power Backscatter Communication (WiFi/power-line tags). She directs the Wireless, Sensing & Embedded Networked Systems (iSENS) Lab and co-directs the Illinois Center for IoT. Her work bridges wireless networking with cyber-physical sensing , emphasizing environmental monitoring (e.g., wildfire fuel detection via radar tags) and human-computer interaction (e.g., gaze-tracking in VR). Recent articles include innovations in passive radar profiling , through-canopy biomass characterization , and integrated communication-sensing protocols . Scientific Awards: Google Research Scholar Award (2022) N2Women Rising Star (2021) ACM SIGMOBILE Dissertation Award (2020) EECS Rising Stars (2019) NCSA Faculty Fellowship (2023) Best Demo Runner-up, IPSN (2023) Teaching Excellence Award (2023) Grants: NASA FireTech Program Grant (2025) NSF Grant for Radar-based Perception (2024) Insper-Illinois Grant for VR Research (2024) Keysight Research Gifts (2022, 2023) T-Mobile Research Gift (2022)

Rosa Arriagaمشاهده پروفایل

دانشیار

• Human-Computer Interaction (HCI)
• Ubiquitous Computing (Ubicomp)
• Social Computing
• +۷ مورد دیگر

Rosa I. Arriaga is an Associate Professor in the School of Interactive Computing at Georgia Institute of Technology, where she directs the Ubicomp Health and Wellness Lab. Her research focuses on Human-Computer Interaction (HCI), Ubiquitous Computing, and mHealth, with applications in mental health, chronic disease management (e.g., diabetes), and pediatric asthma care. She designs technology systems to improve patient engagement, continuity of care, and clinician-patient communication. Research Areas: Chronic Care Management PTSD Therapy Support (PECSS project) Diabetes Management (DUCSS project) mHealth System Design AI in Healthcare Key Projects: PECSS: Leverages ubiquitous computing and machine learning to address clinical challenges in PTSD therapy. DUCSS: A diabetes management system to streamline patient education and self-monitoring, particularly for underserved populations. ZenVR: A virtual reality system for meditation education, validated through longitudinal studies. Teaching: Teaches undergraduate courses in HCI and graduate courses in Human-Centered Computing (HCC). Her Coursera course Intro to User Experience Design has over 50K learners. Grants & Partnerships: Funded by GT-Emory AI Humanity, American Diabetes Association, and Georgia Center for Diabetes Translation Research. Collaborations with Emory University, University of Rochester, and medical professionals. Labs & Teams: Leads the Ubicomp Health and Wellness Lab, fostering interdisciplinary research with graduate and undergraduate students focusing on health technology innovation.

Katherine Isbisterمشاهده پروفایل

استاد

• Human-Computer Interaction
• Digital Games
• Emotion in Design
• +۱۲ مورد دیگر

Katherine Isbister is a full professor in the Department of Computational Media at the University of California, Santa Cruz, where she directs the Center for Computational Experience. She was previously an associate professor jointly appointed between the Computer Science department at New York University’s Tandon School of Engineering and the NYU Game Center, and served as the founding Research Director of the Game Innovation Lab at NYU. Her research lies at the intersection of Human-Computer Interaction and digital games, focusing on emotion, social connection, and playful experiences. Key research themes include emotion in games , social play , fidget technologies , social VR , and digital characters . Her work combines technical prototyping, design research, and empirical evaluation to understand how interactive systems can support emotional and social experiences. Her publications span top venues such as CHI, DIS, and IEEE Transactions on Affective Computing. Trends in her recent work show a strong emphasis on embodied interaction, affective design, and socio-technical systems for emotional regulation and social connection. She explores how movement, touch, and presence in virtual spaces can enhance human experience. MIT Technology Review TR100 Young Innovator (1999) Best Paper Award, ACM CSCW (2018) New Voices New Visions Award (for SimWorks art series) She has advised numerous students and led research projects involving social wearables, movement-based games, and mental health interventions. Her lab has received recognition from media outlets including NPR, Scientific American, and The Guardian. She has also collaborated with industry partners such as Microsoft, Electronic Arts, and Ubisoft. She leads the Center for Computational Experience at UCSC and has previously directed the Game Innovation Lab at NYU. Her team has produced over 100 peer-reviewed publications and several exhibition-ready games and art installations.

Roghayeh (Leila) Barmakiمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Multimodal Machine Learning
• Virtual Reality
• +۵ مورد دیگر

Roghayeh (Leila) Barmaki is an Assistant Professor in the Department of Computer & Information Sciences at the University of Delaware, where she leads the Human-Computer Interaction Lab (HCI@UD) and is affiliated with the Data Science Institute. Her research centers on Human-Centered Computing with applications in healthcare and medical education. Education: Postdoctoral Fellowship (2018): Johns Hopkins University, Laboratory for Computational Sensing and Robotics, Whiting School of Engineering PhD (2016): University of Central Florida, Computer Science MSc (2012): Iran University of Science and Technology, Artificial Intelligence BSc: Kharazmi University, Software Engineering Her research spans Multimodal Machine Learning, Virtual and Augmented Reality, and Embodied Interface Design, focusing on innovative applications in healthcare delivery and science education. She teaches core courses including Introduction to Human-Computer Interaction (CISC 482/682) and Introduction to Data Mining (CISC 483/683), emphasizing hands-on project development and theoretical foundations. Dr. Barmaki directs the HCI@UD laboratory, which develops cutting-edge interfaces for medical training and patient care through interdisciplinary collaboration between computer science, engineering, and healthcare domains.

James Foleyمشاهده پروفایل

استاد

• Computer Graphics
• Human-Computer Interaction (HCI)
• Visualization
• +۳ مورد دیگر

Dr. James D. Foley is a Professor in the College of Computing and the School of Electrical and Computer Engineering at Georgia Institute of Technology. He holds the Stephen Fleming Chair in Telecommunications. He earned his Ph.D. in Computer Information and Control Engineering from the University of Michigan and a BSEE from Lehigh University, where he was inducted into Phi Beta Kappa, Tau Beta Pi, and Eta Kappa Nu. Founded the Graphics, Visualization & Usability (GVU) Center at Georgia Tech, ranked #1 in graphics and user interaction. Directed Mitsubishi Electric Research Lab and later served as CEO of Mitsubishi Electric ITA. Executive Director of Yamacraw, Georgia's broadband development initiative. His research focuses on computer graphics, human-computer interaction (HCI), visualization, and user interface design. He co-authored foundational textbooks like Interactive Computer Graphics , translated into multiple languages. Professional leadership includes Chair of the Computing Research Association (CRA), Fellowships with ACM and IEEE, and the ACM/SIGGRAPH Stephen Coons Award. He advised over 30 graduate students and led numerous conferences, panels, and editorial roles in top journals. Contributions span academia and industry, including roles in NSF workshops, JTEC studies on HCI in Japan, and advisory boards for institutions like MIT and Lehigh University.

Parastoo Abtahiمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Augmented Reality
• Virtual Reality
• +۷ مورد دیگر

Parastoo Abtahi is an Assistant Professor in the Computer Science Department at Princeton University. She leads the Situated Interactions Lab (Ψ Lab) as part of the Princeton HCI Group, focusing on AR/VR and spatial computing. Prior to Princeton, she worked at Meta Reality Labs Research. PhD in Computer Science from Stanford University BSc in Electrical and Computer Engineering from University of Toronto (Engineering Science program) Her research explores wearable interactive technologies that augment human intelligence in physical contexts through: Input on-the-go: Low-effort, privacy-preserving multimodal interfaces Intelligent output: Timely, minimal multisensory systems Situated AI: Personalizable, predictable, safe physical-digital interaction Recent publications analyze: Drone-based haptic illusions for AR/VR Microgestures for mobile AR input Interactivity in explainable AI systems Temporal dynamics in VR haptics Awards include: 2025 Google Research Scholar Award CHI 2019 & 2018 Honorable Mentions She teaches courses like: COS 436: Human-Computer Interaction COS IW: AR Meets AI

Toby Jia-Jun Liمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Artificial Intelligence
• Machine Learning
• +۶ مورد دیگر

Toby Jia-Jun Li is an Assistant Professor in the Department of Computer Science and Engineering at the University of Notre Dame, where he leads the SaNDwich Lab. He also serves as the Director of the Human-Centered Responsible AI Lab in the Lucy Family Institute for Data & Society and is a Faculty Fellow at the Institute for Educational Initiatives (IEI). Previously, he was affiliated with Carnegie Mellon University's Human-Computer Interaction Institute (HCII) and GroupLens Research. Dr. Li's research spans the intersection of Human-Computer Interaction (HCI), End-User Software Engineering, Machine Learning (ML), and Natural Language Processing (NLP), with recent work focusing on addressing societal challenges in the future of work through human-AI collaborative approaches. His work has resulted in over 40 publications at premier venues including CHI, UIST, CSCW, ACL, and ICSE, with 8 papers winning Best Paper or Honorable Mention awards. His recent publications demonstrate a strong focus on human-AI collaboration across various domains, including code understanding, privacy, accessibility, and creative tools. The work shows a trajectory toward increasingly sophisticated integration of human-centered design with AI capabilities, particularly using large language models to enhance human productivity and address societal challenges. Google Research Scholar Award recipient Recipient of Yahoo! Fellowship ($100,000/year) Best Paper Award at UIST 2020 Best Paper Honorable Mention Award at CHI 2021 Best Paper Award at CSCW 2024 Best Paper Award at CHI 2025 Dr. Li actively mentors Ph.D. students and has established collaborations with Google, Microsoft Research, IBM Research, Adobe, Verizon, and J.P. Morgan. His research has been supported by NSF, Google Research Scholar Program, AnalytiXIN Initiative, Yahoo! InMind project, and J.P. Morgan. He is currently recruiting Ph.D. students and undergraduate researchers for his SaNDwich Lab, which focuses on developing interactive systems to empower individuals to create, configure, and extend AI-powered computing systems.

Oliver Müllerمشاهده پروفایل

استاد

• Philosophical Anthropology
• Philosophy of Technology
• Ethics
• +۳ مورد دیگر

Prof. Dr. Oliver Müller is a Professor at the Department of Philosophy, University of Freiburg, and serves as Vice Dean of the Faculty of Philosophy. His academic journey includes a doctorate from Humboldt University Berlin (2005) and a habilitation in Philosophy (2012). Müller leads research on Philosophical Anthropology, Philosophy of Technology, and Ethics, with a focus on human-machine interactions and Anthropocene ethics. He supervises doctoral and postdoctoral researchers across projects like livMatS and BrainLinks-BrainTools. Research interests span neuroethics, transhumanism, and socio-technological systems, emphasizing ethical frameworks for emerging technologies. Publications explore AI ethics, drone warfare, and phenomenological embodiment, reflecting interdisciplinary engagement with neuroscience and environmental philosophy. Honors include the MTZ Bioethics Award and Heisenberg Fellowship. Müller directs participatory discourse initiatives bridging art and science, fostering public engagement with technological ethics. His work advances critical dialogues on human enhancement and ecological responsibility in the digital age.

Michael Nebelingمشاهده پروفایل

دانشیار

• Augmented Reality (AR)
• Virtual Reality (VR)
• Mixed Reality (XR)
• +۶ مورد دیگر

Michael Nebeling is an Associate Professor at the University of Michigan's School of Information (UMSI), leading the Information Interaction Lab. His research focuses on Augmented, Virtual, and Mixed Reality (XR) interfaces, emphasizing usability, accessibility, and privacy. He co-directs the HCI seminar series in the Michigan Interactive and Social Computing (MISC) group and teaches AR/VR courses (SI 559/659). Nebeling has held roles such as UIST 2026 General Co-Chair and CHI 2026 Subcommittee Co-Chair. He pioneered the Extended Reality for Everybody Coursera specialization and the XR MOOC series . His work includes projects like XRDirector , MRAT , and 360proto , addressing challenges in XR design and tool development. Awards include the Disney Research Faculty Award, Mozilla Research Award, and Epic MegaGrant. He advises the student-led Alternate Reality Initiative (ARI) and collaborates with industry partners like Meta, Epic, and Disney. Education: PhD in Computer Science from ETH Zurich (2015), Postdoc at Carnegie Mellon University's Human-Computer Interaction Institute (2016). Research Themes: XR toolkits, privacy/security in AR/VR, inclusive design, educational applications, and ethical considerations in mixed reality. Over 90 publications in venues like CHI, UIST, and ACM Transactions on CHI. Awards: Disney Research Faculty Award (2018), Mozilla Research Award (2018), Epic MegaGrant (2019), Meta Reality Labs Gift (2020). Recognized with Best Paper Awards at CHI and UIST.

Heather Zhengمشاهده پروفایل

استاد

• Mobile Computing
• Security and Privacy
• Adversarial Machine Learning
• +۵ مورد دیگر

Heather Zheng is the Neubauer Professor of Computer Science at the University of Chicago, co-directing the SAND Lab (Security, Algorithms, Networking and Data) with Prof. Ben Y. Zhao. She holds IEEE (2015) and ACM (2023) Fellowships, and was recognized as MIT TR35 (2005) for cognitive radio research. Her work bridges mobile/IoT security, adversarial ML, and generative AI ethics. Zheng earned her PhD in Electrical and Computer Engineering from University of Maryland in 1999, with prior roles at Bell-Labs, Microsoft Research Asia, and UCSB. Education: PhD in Electrical and Computer Engineering, University of Maryland, College Park (1999) Research Focus: Explores cutting-edge challenges in: Security implications of mobile/IoT sensors (e.g., bracelet-of-silence countermeasures) Adversarial machine learning defense mechanisms (e.g., Blacklight attack detection) Generative AI governance (Glaze, NightShade copyright tools) Awards: ACM Fellow (2023) IEEE Fellow (2015) World Technology Network Fellow Labs & Collaborations: Leads SAND Lab focusing on security, ML, and networked systems. Active in UChicago's Systems Group exploring cloud/edge computing architectures.

Rachel Cummingsمشاهده پروفایل

دانشیار

• Differential Privacy
• Machine Learning
• Algorithm Design
• +۶ مورد دیگر

Rachel Cummings is an Associate Professor in the Department of Industrial Engineering and Operations Research (IEOR) at Columbia University, with a courtesy appointment in the Department of Computer Science. She serves as Co-chair of the Cybersecurity Research Center at Columbia’s Data Science Institute. Previously, she was faculty at Georgia Tech’s School of Industrial and Systems Engineering (ISyE), holding a courtesy appointment in Computer Science. She holds a Ph.D. in Computing and Mathematical Sciences from Caltech, with research visits at UPenn, Hebrew University, Microsoft Research, and the Simons Institute. Her research focuses on differential privacy, integrating tools from machine learning, algorithm design, economics, optimization, statistics, HCI, usable security, and public policy. She emphasizes practical applications of theoretical privacy-preserving methods. Key roles include Managing Editor for the Journal of Privacy and Confidentiality , service on the ACM U.S. Technology Policy Council, IEEE Standards Association, and Future of Privacy Forum’s Advisory Board. She has advised on the U.S. Census Bureau’s Scientific Advisory Council and served as a Fellow at the Center for Democracy & Technology. Recent work includes papers on privacy elasticity, synthetic control methods, and differential privacy under class imbalance. Her awards include NSF CAREER, DARPA Young Faculty Award, and Best Paper recognitions at DISC, CCS, and SaTML. She actively chairs conferences (e.g., DEF CON Crypto) and mentors students like Tingting Ou (PhD 2025) and Peihan Liu (PhD 2024–present). Her lab explores privacy-preserving technologies, policy implications, and interdisciplinary collaborations.

Qian Yangمشاهده پروفایل

استادیار

• Human-AI Interaction
• User Experience (UX) Design
• Healthcare Technology
• +۴ مورد دیگر

Qian Yang is an Assistant Professor in Information Science at Cornell University, with a faculty appointment in Computer Science. Her research focuses on human-AI interaction, designing AI applications for healthcare, autonomous systems, and UX design. She holds a PhD in Human-Computer Interaction from Carnegie Mellon University and has industry experience in design consultancy (2007–2014). Yang co-directs the Cornell Digital and AI Literacy Initiative and is a Senior Fellow at the Cornell Brooks Tech Policy Institute. Her work emphasizes bridging AI technologies with societal needs, supported by awards like the Schmidt Futures AI2050 Fellowship. She leads the DesignAI research group, focusing on AI-driven design methods and tools for practitioners. Education: PhD in HCI (Carnegie Mellon), M.S. in HCI (CMU), M.Des in Design, B.Eng in Industrial Design (Shanghai Jiao Tong University). Research interests include AI ethics, healthcare decision support systems, and context-aware mobile services. Notable contributions include: Developing AI systems for life-critical healthcare decisions (e.g., artificial heart implants) Innovating UX design methods for integrating AI into practice Advancing human-centered AI evaluation frameworks Awards include the SIGCHI Outstanding Dissertation Award and AI2050 Fellowship. She actively collaborates across disciplines, with work published in top HCI venues like CHI and ACM Transactions.

Florian 'Floyd' Muellerمشاهده پروفایل

استاد

• Human-Computer Interaction
• Interaction Design
• Game Design
• +۱۷ مورد دیگر

Floyd Mueller is a Full Professor of Future Interfaces in the Department of Human Centred Computing at Monash University, where he also directs the award-winning Exertion Games Lab. His work bridges human-computer interaction, interaction design, and game and play design, with a focus on bodily engagement and physical activity through technology. He has held prior academic and research positions at RMIT University, the University of Melbourne, and CSIRO, and has been affiliated with elite institutions such as Stanford University, MIT Media Lab, and Microsoft Research Asia. PhD in Interaction Design – University of Melbourne (2011) MS in Media Arts and Sciences – Massachusetts Institute of Technology (2002) Diplom-Informatiker (Medieninformatik) – Hochschule Furtwangen (2000) BSc in Multimedia – Griffith University (1999) Floyd Mueller’s research centers on human-computer interaction with a strong emphasis on bodily interactions, exertion interfaces, and playful technologies. His work explores how digital systems can support physical activity, human values, and novel forms of expression through games, wearables, augmented reality, and immersive experiences. He employs methodologies such as design ethnography, autoethnography, and Research Through Design to investigate the phenomenology of human-computer integration. His recent publications (2024–2025) reflect a continued focus on the future of bodily interfaces, including lucid dream mediation, extended reality for fear reduction in water, sonic gastronomy, and shared bodily control in augmented human systems. These works are published in top-tier venues like CHI and Human-Computer Interaction journal, highlighting trends toward immersive, sensory-rich, and human-centered computing that challenge traditional boundaries between body and machine. His scientific awards include being an inaugural honouree of the Australian Design Honours, receiving 9 Best Paper Honorable Mentions and 2 Best Papers at CHI and CHI PLAY, and being recognized as a Fulbright Visiting Scholar and Microsoft Research Asia Fellow. His games have been featured by BBC, ABC, Discovery Science Channel, and New Scientist, and won a Media Star Award. Floyd Mueller actively supervises PhD students through the Exertion Games Lab and Supervisor Connect platform. He has secured major research grants, including Australian Research Council Discovery and Linkage Projects. His current projects include Advancing Australia’s hospitality industry through interactive food and Designing digital aquatic play to foster Australians' engagement with water . He also serves as associate editor for IMWUT and IJHCS, co-founded the CHI PLAY conference series, and was general co-chair for CHI PLAY’18 and CHI’20. He leads the Exertion Games Lab, an interdisciplinary research team focused on inventing the future of bodily play. The lab investigates how technology can support active lifestyles through exertion games, wearables, drones, and immersive environments. The lab’s work spans design, prototyping, user studies, and real-world deployment, often in collaboration with chefs, athletes, and underwater explorers.