جستجوی استاد راهنمای دانشگاهی

Sauvik Dasمشاهده پروفایل

دانشیار

• Usable Privacy and Security
• Human-Computer Interaction
• Human-Centered AI
• +۳ مورد دیگر

Sauvik Das is an Associate Professor at Carnegie Mellon University's Human-Computer Interaction Institute (HCII), directing the SPUD Lab. His research focuses on the intersection of HCI, AI, and cybersecurity, emphasizing user agency over personal data online. He previously held roles at Georgia Tech and co-founded FuguUX, an early-stage startup improving web usability. Key research areas include socially-aware cybersecurity, privacy collective action, and physically-intuitive privacy interfaces. Notable contributions include work on seed phrase management for cryptocurrency users, anti-surveillance RFID systems, and tools like Purpose Mode to combat social media distractions. His work has received accolades such as a CHI Best Paper (2024) and a USENIX Security Distinguished Paper (2024). He has secured grants from NSF, CMU, and industry partners, and his research is covered in outlets like The Atlantic and Dark Reading. Current projects include designing subversive AI systems against surveillance, exploring ethical agent simulations, and advancing privacy governance through collective action frameworks.

Sungyong Ahnمشاهده پروفایل

مدرس

• Digital Ontology
• New Materialism
• Speculative Capitalist Realism
• +۸ مورد دیگر

Dr. Sungyong Ahn is a Lecturer in Digital Media and Cultures at the School of Communication and Arts, University of Queensland, and an affiliate of the Centre for Digital Cultures & Societies. His research focuses on digital ontology, new materialism, and speculative (capitalist) realism, examining how smart technologies reshape human perception and governance. He holds a PhD in Media Studies from the University of Illinois at Urbana-Champaign. Education: Bachelor of Philosophy (Yonsei University), Master of Film and Television (Chung-Ang University), PhD in Media Studies (UIUC). His research investigates the interplay between technology, capitalism, and cultural production, particularly through the lens of the Internet of Things (IoT), quantum physics as cultural imagination, and French philosophy (Foucault, Deleuze, Badiou). Recent work includes analyzing IoT’s role in self-governance and the ontological anxieties of digital existence. Publications span journals like Media Theory , Journal of Cultural Economy , and Postmodern Culture . He is the author of Internet-ontologies-Things: Smart Objects, Hidden Problems, and Their Symmetries (2023). Available for supervision in media studies, digital cultures, and science/technology studies. Active in interdisciplinary collaborations, including the Centre for Digital Cultures & Societies.

Karola Markyمشاهده پروفایل

استاد

• Privacy
• Security
• Human-Computer Interaction
• +۵ مورد دیگر

Karola Marky is a Professor at Ruhr University Bochum's Faculty of Computer Science, leading the Digital Sovereignty Lab. Her work focuses on user-centered privacy and security solutions in emerging technologies. Her research spans privacy perception, usable security, and digital sovereignty, with emphasis on smart homes, virtual reality, and authentication systems. She investigates how granular privacy constructs manifest in real-world scenarios and develops tangible interfaces for user-controlled privacy. Analysis of her 15 most recent publications (2024-2025) reveals dominant themes: privacy scales validation, passwordless authentication barriers in public sectors, DeepFakes for privacy obfuscation, and bystander privacy in smart environments. Key trends include contextual security solutions, psychological impacts of data sharing with AI, and shoulder surfing mitigation through personalized mechanisms. No scientific awards were mentioned in the provided text. No information regarding student advising or research grants was available in the source material. She directs the Digital Sovereignty Lab, which conducts in-the-wild studies and co-creation workshops to develop privacy-enhancing technologies that empower end-users through intuitive interfaces and context-aware controls.

Clayton Cooperمشاهده پروفایل

استادیار

• Physics-informed Machine Learning
• Manufacturing Process Modeling
• Digital Twinning
• +۴ مورد دیگر

Dr. Clayton Cooper is an Assistant Professor of Mechanical and Manufacturing Engineering at Miami University. He holds a Ph.D., M.S., and B.S.E. in Mechanical Engineering from Case Western Reserve University (2024, 2020, 2020 respectively). His research focuses on physics-informed machine learning (PIML) for manufacturing process modeling, digital twin enablement, and explainable AI applications. He leads projects in machine learning-driven deformation prediction in sheet metal forming, computer vision-based digital twins, and novel PIML methods for manufacturing. Education: Ph.D., Mechanical Engineering, Case Western Reserve University, 2024 M.S., Mechanical Engineering, Case Western Reserve University, 2020 B.S.E., Mechanical Engineering, Case Western Reserve University, 2020 Research Interests: Dr. Cooper's work integrates ML with manufacturing physics to improve process observability. He develops PIML frameworks for quality prediction in machining, directed energy deposition, and human-robot collaboration. His methods include multi-sensor fusion, GAN-based signal synthesis, and Shapley additive explanations for model interpretability. Publications: His recent work spans journals like Journal of Manufacturing Systems and conferences such as NAMRC, with notable contributions to deformation prediction and anomaly detection in machining. Key achievements include an Outstanding Paper Award (2024) and a Student Research Presentation Award (2023). Awards: Outstanding Paper Award at NAMRC 52 (2024) Student Research Presentation Award at NAMRC 51 (2023) Teaching: He instructs MME 231: Manufacturing Processes. His lab collaborates with industry partners on smart manufacturing and federated learning for privacy-preserving collaboration. Current projects include digital twin development for real-time process monitoring in additive manufacturing.

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

Heinrich Hußmann is a Professor at Ludwig Maximilian University of Munich with an extensive research career spanning from 1985 to present. His work primarily focuses on Human-Computer Interaction, with significant contributions to Virtual Reality, Tangible User Interfaces, and intelligent systems. Over his career, he has published nearly 250 papers in top-tier conferences and journals. His research interests center around understanding and improving human interaction with emerging technologies. Key focus areas include cinematic virtual reality experiences, tangible interfaces for education and collaboration, privacy in mobile contexts, and user understanding of intelligent systems. His work often bridges theoretical HCI principles with practical applications that address real-world user needs. Analysis of his recent publications (2020-2023) reveals a strong emphasis on tangible interaction for educational contexts, particularly for children's learning. He has also made significant contributions to understanding social aspects of cinematic virtual reality and developing frameworks for user understanding of AI systems. His work consistently demonstrates a user-centered approach that considers psychological, social, and technical dimensions of interaction. Professor Hußmann has mentored numerous students who have become active researchers in the HCI field, including Sarah Theres Völkel, Malin Eiband, and Daniel Buschek, among others. His collaborative network spans multiple institutions and disciplines, reflecting the interdisciplinary nature of modern HCI research. His research has practical implications for the design of more intuitive, privacy-respecting, and educationally effective interactive systems. Current projects suggest continued exploration of how physical and digital elements can be integrated to create meaningful user experiences that support learning, collaboration, and mindful technology use.

• Human-Computer Interaction
• Augmented Reality
• Virtual Reality
• +۶ مورد دیگر

Uwe Gruenefeld is an active researcher at the University of Duisburg-Essen, Germany, with a strong affiliation with OFFIS - Institute for Information Technology in Oldenburg. His primary research focuses on Human-Computer Interaction, particularly in the domains of Augmented Reality, Virtual Reality, and Mixed Reality systems. As a key contributor to the field, he has published extensively in top-tier venues including CHI, UIST, and IEEE Transactions. Dr. Gruenefeld's research primarily investigates visual and haptic techniques for improving user interaction in immersive environments. His work spans across multiple application domains including health technology, educational systems, and robotics. He has made significant contributions to understanding how users interact with cross-reality systems, developing novel interaction techniques for AR/VR, and exploring behavioral biometrics for continuous authentication in immersive environments. His recent publications demonstrate a strong trend toward practical applications of AR/VR technology, with emphasis on user identification through movement patterns, improving physical activity engagement, and developing more intuitive interaction methods for complex tasks. The research consistently shows a human-centered approach with practical implementations that address real-world challenges in immersive computing. Dr. Gruenefeld actively collaborates with numerous researchers and appears to mentor several PhD and Master's students, evidenced by his frequent co-authorship with junior researchers on significant publications. His work is characterized by strong empirical validation through user studies and technical innovation in interaction techniques.

Sauvik Dasمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Cybersecurity
• Privacy
• +۶ مورد دیگر

Sauvik Das is an Associate Professor at Carnegie Mellon University's Human-Computer Interaction Institute and director of the SPUD (Security, Privacy, Usability and Design) Lab. His work bridges Human-Computer Interaction, Artificial Intelligence, and Cybersecurity, focusing on empowering users with agency over personal data and online experiences. Previously, he served as Assistant Professor at Georgia Tech's Interactive Computing department. Research Themes : Human-centered approaches to security/privacy, AI privacy risks, socially-integrated cybersecurity, tangible security interfaces, and collective privacy action. Publication Trends : Recent work explores AI privacy taxonomies, human-AI teaming for security, adversarial AI strategies, geolocation privacy with vision models, and privacy harms in social systems. His 2024 CHI best paper on AI privacy taxonomy and 2025 FAccT paper on LLM bias stand out. Awards : Best Paper (UbiComp 2013, CHI 2024), Distinguished Paper (SOUPS 2020, SEC 2024), NSF CAREER Grant (2022), and multiple honorable mentions across CHI, CSCW, and USENIX. Grants : Funded by NSF (SaTC Medium, CAREER), Facebook, Georgia Tech, and CMU's Secure Blockchain Initiative. Laboratory : The SPUD Lab investigates intersections of usability, security, and AI, producing tools like Purpose Mode browser extension for reducing social media distractions through pattern suppression.

• Gamification in Health Behavior Change
• Digital Health Interventions
• Human-Computer Interaction
• +۴ مورد دیگر

Dr. Manuel Schmidt-Kraepelin is a postdoctoral researcher at the Information Infrastructures group (Technical University of Munich), focusing on gamification for health behavior change and distributed ledger technology applications in healthcare. With dual master's (2016) and bachelor's (2013) degrees in Information Systems from the University of Cologne, he brings extensive experience from KIT, University of Kassel, and University of Cologne research roles. His work combines behavioral science with technical systems design. As a reviewer for major IS journals and conferences (CAIS, ECRA, HICSS, ICIS), he contributes to academic quality assurance. Recipient of multiple best reviewer awards and the prestigious Dean's Award at Cologne, he was honored with the 2014-2016 Deutschlandstipendium and a 2020 DAAD travel grant. Key research areas: gamification mechanics, health behavior change, blockchain in healthcare, narrative transportation theory Recent publications examine gamified procrastination mitigation, expert intuition in medical annotation, and privacy calculus in genetic data sharing Developed taxonomy for gamification concepts in health apps and identified gamification user archetypes Active in design science research and literature synthesis methodologies Awarded best paper recognitions at ICIS and HICSS, with 15+ recent publications across top venues including JMIR, CHI, and IEEE Transactions. Currently teaches Master's seminars on gamified information systems at TUM's Heilbronn campus.

• User Experience Design
• Virtual Reality
• Augmented Reality
• +۳ مورد دیگر

Hyo Jeong Kang is an Assistant Professor at the University of Florida's Digital Worlds Institute, specializing in VR/AR interaction design for educational and workforce training applications. She holds a Ph.D. in Design Studies from the University of Wisconsin–Madison with a concentration in Virtual Reality, complemented by an M.S. from Seoul National University and a B.B.A. from Ewha Womans University. Her research develops intuitive VR interfaces for non-technical users, focusing on microelectronics training, autism support tools, and inclusive design addressing racial microaggressions. Dr. Kang leads multiple NSF-funded projects including semiconductor workforce development programs and VR training for microelectronics physical assurance. Her work bridges immersive technology with practical applications in industry training and social equity. Major Grants: NSF ExLENT: Preparing Autistic individuals for Semiconductor QA Engineering ($620,104) NSF SaTC:EDU: Next-Gen VR Training for Microelectronics ($497,905) NSF Engine: Central Florida Semiconductor Innovation Engine ($2.35M UF sub-award) US Army SCALE: Microelectronic Workforce Development ($450,000 UF sub-award)