جست‌وجوی استاد و پژوهشگر

• Human-Computer Interaction
• Virtual Reality
• Augmented Reality
• +۵ مورد دیگر

Prof. Dr. Andreas Butz is a Full Professor and Chair for Human-Computer Interaction at the Department for Informatics, Ludwig-Maximilians-Universität München (LMU Munich). He leads the Media Informatics Group, focusing on innovative interaction techniques and interfaces in immersive environments like VR/AR, automotive systems, and smart spaces. His research emphasizes perceptual user interfaces, social robotics, and designing systems that balance invisibility with transparency. Key research areas include: Virtual/Augmented Reality interfaces for productivity and social interaction AI-driven decision support in safety-critical domains (aviation, healthcare) Haptic and wearable interaction technologies Automotive UI design for driver assistance systems Principles of explainable AI and human-AI collaboration His work bridges theory and practice through projects like: VR-based movement training systems AI trust calibration mechanisms Multi-modal interaction frameworks for automotive environments Systems for analyzing long-term music listening behavior Recent articles explore topics ranging from AI support in pilot decision-making to haptic wearables and creative writing interfaces. His team collaborates with industry partners on electric vehicle information systems and in-car interaction challenges.

François Guimbretièreمشاهده پروفایل

استاد

• Human-Computer Interaction
• Human-Robot Interaction
• Interface Design
• +۷ مورد دیگر

François Guimbretière is a Professor in the Department of Information Science at Cornell University, with affiliations to the Department of Design & Technology. He holds a PhD in Computer Science from Stanford University and previously served on the faculty at the University of Maryland before joining Cornell in 2009. His research centers on human-computer interaction, human-robot interaction, and interface design, with a strong emphasis on hardware/software co-design to create seamless, sustainable, and innovative interactive systems. His work spans multiple domains including interactive fabrication, remote collaboration, and low-power interfaces. Guimbretière's recent research explores novel fabrication methods such as interactive printing and yarn-based electronics, as well as immersive remote embodiment systems that reduce reliance on physical travel. These efforts reflect a broader trend toward sustainable and accessible interaction technologies. His publications demonstrate consistent contributions to top-tier venues in HCI and ubiquitous computing, focusing on tangible, wearable, and environmentally conscious interfaces. Scientific Recognition: He advises graduate and undergraduate researchers in the development of next-generation interactive systems. His lab supports projects in digital fabrication, remote presence, and sustainable design, often involving interdisciplinary collaboration. While specific grants are not listed, his research trajectory suggests sustained funding in human-centered technology innovation. He leads a research group focused on building practical, user-centered systems that bridge the digital and physical worlds through creative engineering and design. The lab emphasizes hands-on prototyping, real-world deployment, and the integration of traditional craft with advanced technologies.

James Fogartyمشاهده پروفایل

استاد

• Human-Computer Interaction
• Ubiquitous Computing
• Accessibility
• +۳ مورد دیگر

James Fogarty is a Professor at the Paul G. Allen School of Computer Science & Engineering, University of Washington. He serves as a core member of the DUB Group (Design. Use. Build.), a cross-campus initiative advancing Human-Computer Interaction and Design research. His work bridges computer science with healthcare applications, focusing on ubiquitous computing and accessibility. Fogarty's research centers on Human-Computer Interaction, Ubiquitous Computing, and Accessibility. He develops systems to overcome human obstacles in adopting intelligent computing technologies, particularly in healthcare contexts. His work spans food and symptom tracking for conditions like Irritable Bowel Syndrome, accessibility solutions for mobile interfaces, and self-experimentation frameworks for personalized health. Key themes include designing for real-world adoption, balancing automation with user control in personal informatics, and creating accessible technologies for diverse populations. His most recent publications reveal strong trends in health-focused HCI: 60% address chronic condition management (IBS, migraines), 30% focus on accessibility innovations, and 10% explore collaborative computing. Subfield analysis shows deep specialization in food/symptom tracking systems, mobile accessibility enhancements, and personalized health experimentation frameworks, with consistent emphasis on user-centered design and real-world deployment. Fogarty actively mentors doctoral students including Shaan Chopra, Tae Jones, and Aaleyah Lewis. His research receives direct funding from the National Science Foundation, National Library of Medicine, and Agency for Healthcare Research and Quality, with additional support from Adobe, Google, Intel, Microsoft, and Nokia. His lab operates at the intersection of HCI, health informatics, and ubiquitous computing. He leads projects within the DUB Group ecosystem, focusing on practical applications of sensing technologies and intelligent systems. Current work emphasizes patient-provider collaboration tools, accessibility repair mechanisms for mobile applications, and self-experimentation frameworks for personalized health management.

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

Marc Erich Latoschik is a Professor in the Department of Human-Computer Interaction at the University of Würzburg, Germany. He previously held roles at Bayreuth University, Bielefeld University, and FHTW Berlin. His research focuses on virtual and augmented reality, embodiment, human-computer interaction, and applications in health, education, and social systems. Education: Completed his PhD in 2001 at Bielefeld University with a thesis on multimodal interaction in virtual reality. Research Interests: Embodied interaction, virtual embodiment, presence and plausibility in VR/AR, avatar design, social virtual reality, health applications (e.g., VR therapy for body image issues), and XR security/privacy. Active in developing frameworks like Reality Stack I/O and MAIL for VR/AR research. Key Projects: ViTraS study on body image exercises in VR, avatars for mass use via smartphone reconstruction, and motion-based biometrics in XR. Collaborates with medical teams on cybersickness detection and emergency training simulations. Labs/Teams: Leads research groups on immersive technologies and social VR applications. Involved in interdisciplinary projects combining HCI, AI, and healthcare.

Niels Henzeمشاهده پروفایل

استاد

• Human-Computer Interaction
• Predictive Models in Interactive Systems
• Mobile Human-Computer Interaction
• +۵ مورد دیگر

Niels Henze is a Professor at the Chair of Media Informatics within the Faculty of Languages, Literature and Cultural Studies at the University of Regensburg, where he has been serving since May 2018. His research centers on human-computer interaction, with a strong focus on predictive models in interactive systems, mobile interaction, augmented and virtual reality, and attention-aware computing. His research interests include: Human-Computer Interaction (HCI) Predictive modeling for runtime adaptation Mobile and wearable interaction Augmented and Virtual Reality (AR/VR) Attention-aware and context-sensitive systems Sociocognitive aspects of interactive technologies The analysis of his recent publications reveals a consistent focus on leveraging user behavior and contextual cues to build intelligent, adaptive interfaces. His work integrates machine learning with interaction design, emphasizing real-time model updates, implicit feedback, and cognitive load awareness to improve usability and user experience across mobile and immersive platforms. Scientific awards: No awards mentioned in the provided text. Niels Henze leads research in adaptive interactive systems and advises students in the field of media informatics. He has previously held a junior professorship at the University of Stuttgart and completed his doctorate at the University of Oldenburg under Susanne Boll. He is actively involved in advancing the theoretical and practical foundations of predictive and attention-aware computing. Grants and funding sources are not specified in the text. He is associated with the Institute for Information and Media, Language and Culture (I:IMSK) at the University of Regensburg, contributing to a multidisciplinary environment that bridges informatics with cultural and linguistic studies.

Franziska Muellerمشاهده پروفایل

پژوهشگر

• Computer Vision
• Machine Learning
• 3D Hand Pose Estimation
• +۳ مورد دیگر

Franziska Mueller is a Research Scientist at Google Zurich , specializing in Augmented Perception . Prior to joining Google, she earned her Ph.D. in Computer Science at Saarland University under the supervision of Prof. Dr. Christian Theobalt, focusing on real-time hand reconstruction from RGB and depth images. Ph.D. in Computer Science (2016-2020) at Saarland University Master’s and Bachelor’s in Computer Science at Saarland University Research visits at Stanford University (2018) and Reality Labs Research (2019) Her research emphasizes the integration of model-based techniques and machine learning components for real-time 3D hand pose estimation, occlusion handling, and hand-object interaction tracking. Key contributions include methods for single-camera reconstruction and datasets like HandSeg. Scientific Awards : Dr. Eduard Martin Award (2021) Google PhD Fellowship (2017) Günter-Hotz-Medal (2016) Bachelor Award (2015) Völklinger Abiturpreis (2012)

• Human-Computer Interaction (HCI)
• Quantitative HCI
• Mixed Reality
• +۴ مورد دیگر

Jay Henderson is an Assistant Professor in the Department of Computer Science at Memorial University of Newfoundland, leading the Human-Computer Interaction (HCI) Lab. His research focuses on quantitative HCI, measuring human performance with emerging technologies such as mixed reality and generative AI. He holds a PhD from the University of Waterloo and has held roles including Postdoctoral Fellow at Carleton University and Senior Research Scientist at Huawei Technologies Canada. Education: PhD in Computer Science, University of Waterloo (2021) BSc Hons in Computer Science (minors in Mathematics and Psychology), Mount Allison University (2016) Research Interests: Henderson’s work bridges computer science with psychology and mathematics, emphasizing objective measurement of user interactions. Key areas include mixed reality productivity, generative AI interfaces, gesture-based input, and multimodal feedback systems. His quantitative approach ensures practical insights for technology design. Key Grants & Awards: NSERC Discovery Grant ($155,000 over 5 years) NSERC Discovery Launch Supplement ($12,500) David R. Cheriton Graduate Scholarship ($20,000 over 2 years) Teaching & Supervision: Teaches courses like COMP 4303 (AI for Games) and supervises multiple graduate and undergraduate researchers. Notable supervisees include Daniel Jo (MSc) and Arunav Saha (BSc Honours). Service Contributions: Served on ACM committees including Graphics Interface and CHI Late Breaking Work. Acted as Virtual Chair for ACM ASSETS 2024 and contributed to ACM’s name change policy as a transgender advocate.

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.

Susanna Thonمشاهده پروفایل

دانشیار

• Renewable Energy Conversion
• Photovoltaics
• Nanomaterials Engineering
• +۵ مورد دیگر

Susanna Thon is an Associate Professor in the Department of Electrical and Computer Engineering at Johns Hopkins University (JHU), affiliated with the Whiting School of Engineering. She serves as Associate Director of the Ralph O’Connor Sustainable Energy Institute (ROSEI) and a member of the Data Science and AI Institute. Her research focuses on nanomaterials engineering for optoelectronic devices, emphasizing solar energy conversion and sensing. Notable areas include plasmonic-photocatalytic systems using aluminum nanoparticles and nanostructured materials like colloidal quantum dots for next-generation devices. Thon holds a BSc from MIT (2005) and MSc/PhD in Physics from UC Santa Barbara (2008/2010). She joined JHU in 2013 after postdoctoral work at the University of Toronto. Her work is funded by agencies such as the NSF, U.S. Army, and Maryland Energy Innovation Institute. She has published over 50 peer-reviewed papers and received JHU’s Catalyst and Discovery awards. Key research projects include developing plasmonic systems to enhance light absorption in titanium dioxide and creating scalable fabrication techniques for optoelectronic materials. Thon’s team also advances quantum dot solar cells and novel characterization methods for energy materials. She actively participates in professional societies, including the Optical Society of America and IEEE. Her grants and collaborations aim to train the next generation in sustainable energy research, with recent initiatives funded through NSF and Space@Hopkins seed grants. Thon’s lab integrates nanophotonics, materials science, and machine learning to address global energy challenges.

Endadul Hoqueمشاهده پروفایل

استادیار

• Computer Networks Security
• IoT Systems Security
• Vulnerability Detection
• +۳ مورد دیگر

Endadul Hoque is an Assistant Professor in the Department of Electrical Engineering and Computer Science at Syracuse University (SU), leading the SYNE Lab. Previously, he held a similar position at Florida International University (FIU). He earned his Ph.D. in Computer Science from Purdue University in 2015, with postdoctoral research at Northeastern University. His research focuses on cybersecurity, particularly in automated vulnerability detection, network/system security, and IoT defense mechanisms. He draws on program analysis, formal verification, and fuzz testing. Key honors include the NSF CAREER Award (2024) and a Google Research Scholar Award (2022). His work has been published in top venues like ACM CCS, NDSS, and IEEE S&P. He actively seeks students for PhD/MSc positions in security, IoT, and program analysis. His grants include NSF funding for IoT policy enforcement and context-sensitive fuzzing. Education Ph.D., Computer Science, Purdue University, 2015 M.S., Computer Science, Marquette University, 2010 B.S., Computer Science and Engineering, Bangladesh University of Engineering and Technology, 2008 Research Interests Dr. Hoque’s work spans secure network systems, IoT security, vulnerability detection, and automated reasoning methods like SMT solving and symbolic execution. Recent innovations include VetIoT (runtime IoT defense validation) and LLM-driven security tools like iConPAL. He emphasizes practical defenses and user-centric security solutions, such as the SeQR enterprise Wi-Fi configurator. Awards NSF CAREER Award (2024) Google Research Scholar Award (2022) NDSS Distinguished Paper (2018) Grants & Service He leads NSF-funded projects on IoT policy enforcement and context-sensitive fuzzing. Served on program committees for S&P, SecDev, and DSN. Teaches courses on systems security and operating systems at SU and FIU. Lab/Team SYNE Lab at Syracuse University focuses on securing networked systems through automated analysis, runtime verification, and resilient protocols.

• RF Integrated Circuits
• Analog and Digital IC Design
• Wireless Communication Systems
• +۳ مورد دیگر

Sayfe Kiaei is a Professor in the School of Electrical, Computer and Energy Engineering at Arizona State University (ASU), where he also directs the Connection One Center, an NSF I/UCRC Center. He holds the Motorola Chair in Analog and RF Integrated Circuits. Previously, he served as a professor at Oregon State University (1987–1993) and worked at Motorola’s Wireless Technology Center (1993–2001), contributing to wireless communications and broadband systems. Education: Ph.D. in Electrical and Computer Engineering from Washington State University (1987). Research focuses on RF/analog/digital integrated circuits, transceiver design, sensors, and power management. His work is funded by agencies like DARPA, NSF, DOE, and industrial partners. Key achievements include establishing two Industry-University Cooperative Research Centers (CDADIC and Connection One) and over 200 publications. He is an IEEE Fellow and has led technical committees for major conferences (RFIC, ISCAS, MTT). Industry collaborations span companies like Intel, Samsung, Texas Instruments, and Motorola, with expertise in 3G-4G wireless, bioelectronics, Bluetooth, GPS, and MEMS sensors. Awards include IEEE Fellow status (2002–present) and leadership roles in IEEE editorial and conference committees. Grants and projects include the NSF I/UCRC for Power Management Circuits, DARPA-funded research, and international initiatives like the Pakistan Centers for Advanced Studies in Energy. His lab develops cutting-edge technologies in full-duplex radios, MEMS-based sensors, and energy-efficient IC design.

Pourang Iraniمشاهده پروفایل

استاد

• Human-Computer Interaction
• Information Visualization
• Ubiquitous Computing
• +۴ مورد دیگر

Pourang Irani is a Professor and Principal’s Research Chair in Ubiquitous Analytics at the University of British Columbia (Okanagan campus), within the Irving K. Barber Faculty of Science’s Department of Computer Science, Mathematics, Physics and Statistics. Previously, he served at the University of Manitoba for 19 years as a faculty member and Acting Associate Dean of Science. His research focuses on Human-Computer Interaction (HCI), Wearable Computing, and Information Visualization, with an emphasis on designing interactive systems for 'anytime, anywhere' sensemaking using emerging technologies like mixed reality and smart devices. He leads interdisciplinary projects such as the NSERC CREATE grant on Visual and Automated Disease Analytics, training data scientists in health analytics. Education: PhD in Computer Science (University of New Brunswick, 2002), supervised by Dr. Colin Ware. Research Interests: Wearable interfaces (smartwatches, smartrings, and AR/VR) Data visualization for health and pervasive systems Persuasive health technologies and data storytelling Mid-air and hands-free interaction techniques Embodied interaction through social robots Recent Work Trends: Articles emphasize innovations in smartwatch interaction (e.g., bezel-to-bezel gestures), tactile visualizations via skin-dragging, and voice assistant-driven health data queries. Projects like Databiting explore transient personal data exploration, while Data Videos focus on narrative-driven health communication. Grants & Leadership: Principal Investigator of NSERC CREATE Visual and Automated Disease Analytics program. Co-leads UBCO’s Digital Transparency cluster. Active in interdisciplinary teams addressing health informatics and HCI challenges. Labs & Teams: Leads a lab developing prototypes in wearable computing, spatial analytics, and immersive technologies. Collaborates with researchers in medicine, engineering, and data science to translate HCI innovations into practical solutions.

Kening Ken Zhuمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Multimodal Interaction
• Tangible User Interfaces
• +۹ مورد دیگر

Dr. Kening Zhu (Ken) is an Associate Professor jointly appointed by the School of Creative Media and the Department of Computer Science at City University of Hong Kong (CityU). His work focuses on innovative human-computer interaction techniques, with particular emphasis on creating novel interfaces that bridge digital and physical worlds. Dr. Zhu received his PhD degree from the National University of Singapore, where he was supervised by Professor Ryohei Nakatsu and Dr. Shengdong Zhao. He completed his Bachelor's degree in Computer Science at Huazhong University of Science and Technology in China. Dr. Zhu's research spans multiple areas within Human-Computer Interaction, with particular expertise in: Multimodal and Embodied Interaction (MEI) Mobile gesture interaction and tangible/wearable user interfaces Multimodal VR/AR systems Interactive digital fabrication and rapid prototyping Interaction design for children and educational technology His work often combines technical innovation with practical applications, focusing on making technology more accessible and intuitive for users across different contexts. Dr. Zhu has received numerous prestigious awards for his research contributions: Silver Medal at the 50th International Exhibition of Inventions Geneva (2025) Bronze Medal at the 48th International Exhibition of Inventions Geneva (2023) Bronze Medal at 2022 Inventions Geneva Evaluation Days First prize of Nokia Ubimedia MindTrek Awards (2011) He has also served as a jury member for the Nokia Ubimedia MindTrek Awards and as a reviewer for top-tier conferences and journals including SIGCHI, SIGGRAPH, and MobileHCI. As an active researcher and mentor, Dr. Zhu currently supervises multiple PhD students and research assistants. His research is supported by significant grants including ITF projects on Mixed Reality Assisted Preoperative Neurosurgical Planning and Development of Attention-Aware, Immersive, Collaborative Video Teleconferencing System. He also serves as Co-Principal Investigator for the TDG(CityU) START project focusing on interdisciplinary approaches in digital fabrication. Dr. Zhu established the MEI Lab (Multimodal and Embodied Interaction Laboratory) in 2017, which has become a hub for innovative HCI research at CityU. The lab focuses on creating next-generation interaction techniques that combine physical and digital elements, with applications ranging from healthcare to education and entertainment.

Mathias Payerمشاهده پروفایل

دانشیار

• Software Security
• System Security
• Binary Exploitation
• +۳ مورد دیگر

Mathias Payer is an Associate Professor at EPFL's School of Computer and Communication Sciences (IC), leading the HexHive Laboratory . His work focuses on software security, particularly addressing memory corruption and type violations through binary analysis and compiler-based techniques. He contributes to research in secure system design, fault isolation, and fuzzing methodologies. Current PhD students : Di Bartolomeo Luca, Feng Zhiyao, Hofhammer Florian, Lyu Tao, Mao Philipp Yuxiang, Zhang Chibin, Zheng Han Past EPFL PhD students: Badoux Nicolas Daniel, Bhattacharyya Atri, Hazimeh Ahmad His research explores software security in areas like: Protecting applications from vulnerabilities Binary exploitation and mitigation Compiler-driven security hardening Strong sanitization and privilege separation Memory corruption detection The HexHive group develops tools and frameworks for: Automated fuzz driver generation Gradual compartmentalization State inference for feedback optimization Secure cell architectures Recent publications highlight advancements in: Fuzzing hybrid approaches (e.g., DUMPLING, MendelFuzz) Memory safety validation (QMSan, Pacmem) Compiler-assisted defenses (Gradient, Type++)

• Network Security
• Privacy-Preserving Technologies
• Machine Learning for Networking
• +۵ مورد دیگر

Ke Xu is a Professor in the Department of Computer Science at Tsinghua University's School of Information Science and Technology. With extensive research contributions in network security, privacy-preserving technologies, and machine learning applications for networking, Professor Xu has established himself as a leading researcher in computer science. Professor Xu's research interests span network security, privacy-preserving technologies, machine learning for networking, federated learning, internet protocols, encrypted traffic analysis, blockchain applications, and AI in networking. His work bridges theoretical foundations with practical implementations, focusing on real-world security challenges and network optimization problems. He has developed novel frameworks for secure network operations, privacy-preserving data sharing, and efficient AI deployment in distributed environments. Professor Xu's publication record shows a clear trend toward integrating artificial intelligence with traditional networking challenges. His recent work explores federated learning security, encrypted traffic analysis using deep learning, and novel approaches to network security that leverage machine learning techniques. The interdisciplinary nature of his research spans computer networking, security, privacy, and artificial intelligence. Professor Xu has received recognition for his contributions to network security and privacy-preserving technologies through publications in top-tier venues including IEEE journals, ACM conferences, and security symposia. His work has appeared in IEEE Transactions on Dependable and Secure Computing, IEEE/ACM Transactions on Networking, and security conferences like CCS and NDSS. Professor Xu actively collaborates with researchers across institutions, supervising students and junior researchers in exploring cutting-edge problems in network security and AI. His research has been supported by significant grants focusing on network security, privacy, and intelligent networking infrastructure. He leads projects that address fundamental challenges in secure communication, privacy-preserving data analysis, and intelligent network management. Professor Xu is involved with research laboratories focusing on network security and intelligent systems at Tsinghua University. His team works on developing practical security solutions, privacy frameworks, and AI-enhanced networking protocols that address real-world challenges in today's increasingly connected world.