جستجوی استاد راهنمای دانشگاهی

James H. Garrett Jr. is the Provost and Thomas Lord Professor of Civil and Environmental Engineering at Carnegie Mellon University. He previously served as Dean of the College of Engineering (2013-2018) and Head of the Department of Civil and Environmental Engineering (2006-2012). Garrett joined CMU in 1990 and has held leadership roles including Associate Dean for Academic and Graduate Affairs (2000-2006). Ph.D., Civil Engineering, Carnegie Mellon University (1986) M.S., Civil Engineering, Carnegie Mellon University (1983) B.S., Civil Engineering, Carnegie Mellon University (1982) Garrett’s research focuses on sensor systems, data mining, and machine learning for civil infrastructure condition assessment. His work spans smart cities, transportation engineering, and structural health monitoring, with applications in HVAC systems, water infrastructure, and bridge diagnostics. He has pioneered methods for integrating BIM with maintenance data and developing intelligent decision support systems. Garrett’s publications emphasize sensor networks, data-driven infrastructure management, and machine learning for anomaly detection in transportation and building systems. His work bridges civil engineering with computational methods, including variational autoencoders for rail monitoring and adaptive graph filtering for bridge diagnostics. Alexander von Humboldt Research Prize (2012) Steven J. Fenves Award for Systems Research (2007) ASCE Computing in Civil Engineering Award (2006) As founding co-director of the Pennsylvania Smarter Infrastructure Incubator and a leader in the Wilton E. Scott Institute for Energy Innovation, Garrett has advanced smart infrastructure through sensor networks and data analytics. He also served as co-chief editor of the ASCE Journal of Computing in Civil Engineering (2008-2013).

• Civil Engineering
• Data Mining
• Machine Learning
• +۶ مورد دیگر

Yaser Ajmal Sheikh is an Associate Professor at the Robotics Institute of Carnegie Mellon University (currently on leave) and serves as Director of Facebook Reality Lab in Pittsburgh. His work focuses on "metric telepresence": remote interactions in AR/VR that are indistinguishable from reality. He has made significant contributions to machine perception and rendering of social behavior, spanning computer vision, computer graphics, and machine learning. Dr. Sheikh's research encompasses analyzing dynamism in scenes from moving cameras, with particular focus on dynamic motion reconstruction, human behavior analysis, estimation of nonrigid motion, and modeling moving cameras in spacetime. His work has led to breakthroughs in social robotics, 3D vision and recognition, and multisensor data fusion. He founded and directs the Facebook Reality Lab in Pittsburgh, continuing his work on human-centered robotics and social robots. His publication record demonstrates consistent innovation in computer vision and graphics, with emphasis on human motion capture, facial animation, and social interaction modeling. His most recent work focuses on neural approaches to facial animation, full-body avatars, and capturing the complex dynamics of human interaction. The research shows a clear trajectory from foundational work in motion capture to sophisticated neural approaches for realistic human representation in virtual environments. Popular Science's Best of What's New Award Honda Initiation Award (2010) Best paper awards at WACV (2012), SAP (2012), SCA (2010), ICCV THEMIS (2009) First place in the MSCOCO Keypoint Challenge (2016) Hillman Fellowship for Excellence in Computer Science Research (2004) Dr. Sheikh has advised numerous doctoral and master's students who have gone on to prestigious positions in academia and industry. His research has been generously supported by government agencies including NSF and DARPA, as well as industrial partners such as Intel, Disney, Nissan, Honda, Toyota, and Samsung. He has served on senior committees at major conferences including SIGGRAPH, CVPR, ICRA, and ICCP, and was an Associate Editor of CVIU. He leads the Panoptic Studio project, a massively multiview system for social motion capture that has produced the CMU Panoptic Studio Dataset. His work on OpenPose has become a standard tool in the field for real-time 2D hand, body, and face keypoint detection. His current research at Facebook Reality Lab continues to push the boundaries of what's possible in virtual and augmented reality through advanced computer vision techniques.

• Computer Vision
• 3-D Vision and Recognition
• Human Behavior Analysis
• +۸ مورد دیگر

Haiyi Zhu is the Daniel P. Siewiorek Associate Professor of Human-Computer Interaction and Director of HCI Undergraduate Programs at Carnegie Mellon University's School of Computer Science, where she leads the Social AI research group. Her work bridges human-computer interaction and responsible AI, with a focus on how AI technologies integrate into social groups, communities, and societies. Dr. Zhu received her B.S. in Computer Science from Tsinghua University and her M.S. and Ph.D. in Human-Computer Interaction from Carnegie Mellon University. Her educational background laid the foundation for her interdisciplinary approach that combines technical expertise with deep understanding of human behavior and social contexts. Her research focuses on human-AI interaction, social computing, and responsible AI, particularly examining how AI technologies can be integrated into various aspects of social processes, interactions, and decision-making while enhancing benefits and reducing potential harms. She has conducted significant projects in child welfare, mental health support, and workplace settings, with a particular emphasis on addressing the needs of vulnerable and marginalized populations. Her work demonstrates how AI can be designed to support rather than replace human expertise, especially in high-stakes domains where ethical considerations are paramount. Her publication portfolio reveals a consistent trajectory toward understanding and improving human-AI partnerships across multiple domains. Early work focused on foundational aspects of algorithmic fairness and explainability, while more recent publications address increasingly complex applications in mental health, gig work, and public sector services. A notable trend is the growing emphasis on community-driven approaches to AI design and evaluation, reflecting a maturation of the field toward more participatory and inclusive practices. NSF CRII award recipient Allen Newell Award for Research Excellence Over ten paper awards at top venues including CHI, CSCW, and Human Factors Multiple Best Paper and Honorable Mention awards at CHI, CHIWORK, and SaTML Named to Pittsburgh's 40 Under 40 (2024) As an advisor, Dr. Zhu mentors numerous PhD students working on diverse aspects of human-AI interaction, with several securing prestigious fellowships including NSF GRFP. Her research is supported by multiple programs at the National Science Foundation, the National Institute of Mental Health, and various industry sponsors. She has also taken on significant service roles in the community, serving as secretary/treasurer of HCIC and as program committee member for major conferences including CHI and CSCW. Her lab, the Social AI group, operates at the intersection of technology design and social impact, emphasizing both technical innovation and ethical considerations.

• Human-Computer Interaction
• Human-AI Interaction
• Social Computing
• +۵ مورد دیگر

Dr. Jessica Zhang is the George Tallman Ladd and Florence Barrett Ladd Professor of Mechanical Engineering at Carnegie Mellon University, with a courtesy appointment in Biomedical Engineering. She holds prestigious fellowships from ASME, SIAM, and other institutions. Her research focuses on computational geometry, isogeometric analysis, and applications in biomedicine and materials science. She has published over 200 technical articles and received numerous awards, including the PECASE and ASME Van C. Mow Medal. Education: PhD in Computational Engineering and Sciences from the University of Texas at Austin (2005), M.Eng. in Aerospace Engineering (UT Austin), and degrees from Tsinghua University in China. Research Interests: Computational geometry, mesh generation, finite element methods, and their applications in biomedical engineering, materials science, and mechanical engineering. Her lab develops algorithms for biomodeling at molecular to organ scales. Recent Achievements: In 2025, she was selected for the AWM-SIAM Kovalevsky Lecture and the ASME Van C. Mow Medal. Her work on neuron growth modeling and machine learning frameworks has advanced computational biomedical applications. Awards: Includes Simons Visiting Professorship, NSF CAREER Award, and multiple best paper awards. She chairs committees for conferences like Solid and Physical Modeling Symposium. Grants and Mentorship: Advised over 50 students and postdocs. Her lab collaborates across disciplines, including NextManufacturing Center and Materials Research Science and Engineering Center. Labs/Teams: Computational Bio-Modeling Lab, focusing on interdisciplinary projects in mechanical, biomedical, and materials engineering. Active in initiatives like Bioengineered Organs and NextManufacturing.

• Computational Geometry
• Isogeometric Analysis
• Finite Element Method
• +۱۲ مورد دیگر

Conrad Tucker is a Professor of Mechanical Engineering at Carnegie Mellon University (CMU) and Director of CMU-Africa, with courtesy appointments in Machine Learning, Robotics, and Biomedical Engineering. He serves as Associate Dean for International Affairs (Africa) and holds an endowed Trustee Professorship. His research focuses on AI-driven systems design, data mining, cybersecurity, and education innovation, with grants from NSF, DARPA, and the Gates Foundation. Education: Ph.D. in Industrial & Systems Engineering, University of Illinois, 2011 MBA in Business Administration, University of Illinois, 2009 M.S. in Industrial & Systems Engineering, University of Illinois, 2007 B.S. in Mechanical Engineering, Rose-Hulman Institute of Technology, 2004 Research Interests: Dr. Tucker’s work bridges AI, engineering design, and societal impact. Key areas include: AI/ML for security and privacy Optimization of additive manufacturing AI applications in healthcare and education Data-driven product innovation His lab, AiPEX, develops ML methods for personalized design solutions and addresses challenges like deepfake detection in education. Grants & Awards: Endowed Trustee Professorship (CMU, 2023) NAE Frontiers of Engineering Education Advisory Committee (2016–present) Over $10M in grants from NSF, AFOSR, DARPA, and others Labs & Collaborations: Leads the AiPEX Lab, advancing AI in product design and cybersecurity. Collaborates with institutions globally, including the African Engineering and Technology Network (Afretec), to promote STEM education and digital infrastructure in Africa.

• Artificial Intelligence
• Machine Learning
• Robotics
• +۶ مورد دیگر

Srinivasan Seshan is Joseph Traub Professor of Computer Science and Department Head of the Computer Science Department at Carnegie Mellon University's School of Computer Science. His research focuses on network protocols, distributed network applications, and next-generation network architectures. His primary research explores next-generation network architectures like the eXpressive Internet Architecture (XIA) for robust internet evolution and video content delivery optimization. A secondary focus examines systems challenges in mobile computing, including power-efficient data collection, scalable infrastructure design, and privacy management for smartphone-based environmental observations. As a prominent researcher in distributed systems, Seshan has made significant contributions to transport protocols, sensor networking, and firewall design. His publications demonstrate consistent focus on network architecture innovation and mobile systems optimization.

• Distributed Systems
• Mobile Computing
• Networking
• +۱ مورد دیگر

Kotaro Hara is an Assistant Professor at Singapore Management University's School of Computing and Information Systems and a member of the SMU HCI Research group. His research focuses on Human-Computer Interaction (HCI) and accessibility, designing technologies to enhance independence and inclusion for people with disabilities. He holds a PhD in Computer Science from the University of Maryland, College Park, advised by Dr. Jon Froehlich, and a BEng from Osaka University, advised by Dr. Fumio Kishino. Previously, he was a Postdoctoral Fellow at Carnegie Mellon University and a Research Intern at Microsoft Research Redmond. His work spans interactive tools for accessibility, leveraging crowdsourcing and machine learning to address challenges in urban accessibility mapping, crowd work fairness, and assistive technologies for visually impaired individuals. He has received numerous awards, including the CHI 2024 Honorable Mention Award and the Lee Kong Chian Fellowship, and has contributed to influential projects like Project Sidewalk. Hara has taught courses such as Interaction Design and Prototyping at SMU and has mentored over 40 students across graduate, undergraduate, and visiting programs. His grants total over $1.9 million, including leadership in projects like 'Improving Fairness and Accessibility of Crowd Work' and 'Mobile-Friendly Data Visualization.' He actively serves in roles such as CHI 2025 Accessibility Co-Chair and IMWUT Associate Editor, promoting accessibility and ethical HCI practices globally.

• Human-Computer Interaction (HCI)
• Accessibility Technology
• Assistive Technologies
• +۳ مورد دیگر

Yang Zhang is an Assistant Professor in the Electrical and Computer Engineering (ECE) department at UCLA, leading the Human-Centered Computing and Intelligent Sensing Lab (HiLab). His research focuses on enhancing ambient computing through novel sensing technologies and energy-harvesting systems, advancing IoT, assistive technologies, and sustainable intelligence. He earned his PhD from Carnegie Mellon University (CMU), with prior work at Microsoft Research and Disney Research. Research Interests: His work spans wearable computing, ubiquitous sensing, and hardware prototyping. Key areas include self-powered sensors (e.g., Sozu), laser-based environment sensing (Vibrosight), and body-centric interfaces (SkinTrack, ActiTouch). He emphasizes practical, inclusive, and energy-efficient solutions. Awards & Recognition: CHI Best Paper (2020: Wireality) CHI Best Paper (2018: Wall++) Qualcomm Innovation Fellowship (2017) Multiple Honorable Mentions at CHI/UIST Teaching: Courses include Circuit Theory, Engineer Interactive Systems, and Electrical & Electronic Circuits. Labs & Teams: Directs the HiLab, collaborating on projects like OptoSense, MorphingCircuit, and Wireality. His lab emphasizes cross-disciplinary innovation at the intersection of hardware and human-computer interaction.

• Human-Centered Computing
• Ambient Computing
• Sensing Technologies
• +۷ مورد دیگر

Junhan Kong is a 5th-year Ph.D. candidate in the Information School at the University of Washington, advised by Prof. Jacob O. Wobbrock. She holds roles as a Pre-doctoral Instructor and has served as a Teaching Assistant across multiple courses at UW and CMU. Her research focuses on human-computer interaction and accessibility, particularly in enabling technologies to adapt to user abilities through quantitative analysis of input behavior and sensor data. She has interned at Adobe Research and Meta Reality Labs, contributing to projects like the Ability-Based Design Toolkit (ABD-MT), which won the MobileHCI 2024 Best Paper Award. Junhan's educational background includes dual Bachelor's and Master's degrees in Computer Science from Carnegie Mellon University, with minors in Statistics and Machine Learning. Her work integrates human ability characterization, mixed-initiative interface adaptations, and accessible gesture systems for users with motor disabilities. She has also explored AR applications to support older adults and complex UI users. Her teaching contributions include instructing UW's Special Topics in Accessibility course and coordinating the UW DUB Doctoral Colloquium. She actively reviews for top conferences like CHI, UIST, and ASSETS, and has received Special Recognition for her reviews. Junhan's research has been recognized with awards including the MobileHCI Best Paper Award (2024) and an Adobe Intern Expo award (2023). Her work emphasizes practical developer tools and user-centric design principles to bridge gaps in accessible technology.

• Human-Computer Interaction
• Accessibility
• Quantitative Characterization of Human Abilities
• +۴ مورد دیگر

Mark Baskinger serves as Professor and Chair of Product Design at Carnegie Mellon University's School of Design, where he also directs the Joseph Ballay Center for Design Fusion and the Moon Arts Group. His academic leadership extends across multiple interdisciplinary initiatives bridging design, technology, and cultural exploration. His educational background includes a PhD from Royal Melbourne Institute of Technology (RMIT University), an MFA in Industrial Design from the University of Illinois (UIUC), and a BFA in Graphic Design from Carnegie Mellon University. Baskinger's research focuses on tangible interaction design, deep time artifacts, durational design methodologies, and visual thinking processes. His work explores the intersection of physical and digital experiences, emphasizing inclusive design approaches that address universal needs while considering long-term cultural impacts. He investigates how visual communication and sketching processes enhance creative problem-solving and collaborative design practices. His scholarly output reveals a consistent trajectory exploring tangible interaction, inclusive design for aging populations, visual communication, and the relationship between physical form and computing. Early work focused on home appliance design for elderly users, while later publications expanded into game design, haptic interfaces, and the cultural implications of design artifacts intended to endure across centuries. 2010 Henry Hornbostel Teaching Award at Carnegie Mellon Recognized as 'Most Admired Industrial Design Educator' by Design Intelligence Journal Multiple design awards from ID Magazine and Industrial Designers Society of America (IDEA) Five U.S. design patents plus numerous associated patents Author of influential textbook 'Drawing Ideas' (2013), now in seventh printing Baskinger has conducted over 70 design workshops with Fortune 500 companies and industry conferences while maintaining significant academic collaborations across Carnegie Mellon's campus. He co-directed the MoonArk project, which became the primary cultural payload on Astrobotic Technology's lunar lander mission, uniting 11 campus units, 18 organizations, and over 300 international collaborators. His work with the Quality of Life Technology Engineering Research Center demonstrates his commitment to applying design principles to improve everyday experiences. As a fellow in The Frank-Ratchye STUDIO for Creative Inquiry, Baskinger leads the Moon Arts Group, continuing the legacy of the MoonArk through deep time cultural artifact projects. His collaborations span the Tepper School of Business, Disney Research, Robotics Institute, Human-Computer Interaction Institute, and international partners like TU/e in the Netherlands.

• Tangible Interaction Design
• Visual Thinking
• Product Design
• +۶ مورد دیگر

Jonathan Cagan is the George Tallman and Florence Barrett Ladd Professor in Engineering at Carnegie Mellon University's College of Engineering. His work bridges AI, machine learning, and cognitive science to enhance engineering design and decision-making. He co-founded CMU's Integrated Innovation Institute and held leadership roles including Associate Dean and Interim Dean. Research focuses on computational modeling of designer processes, biomechanical systems, and human-AI collaboration. Collaborations span psychology, neuroscience, computer science, and architecture. Recent publications highlight AI integration in design automation, additive manufacturing, and mixed reality systems. His work explores trust dynamics, confidence modeling, and optimization algorithms in human-AI teams. Scientific awards include the Robert A. Doherty Award for Excellence in Education and the ASME Design Theory and Methodology Award. He is a Fellow of ASME.

• Engineering Design Automation
• Artificial Intelligence in Design
• Computational Modeling
• +۵ مورد دیگر

Takeo Kanade is the U.A. and Helen Whitaker University Professor of Robotics and Computer Science at Carnegie Mellon University (CMU). He serves as director of the Quality of Life Technology Engineering Research Center and previously led the Robotics Institute (1992-2001). His work spans computer vision, robotics, and multimedia technology, emphasizing mathematical modeling of vision processes and system development. Education: Doctoral degree in Electrical Engineering from Kyoto University (1974) Kanade's research focuses on foundational computer vision (factorization methods, multi-baseline stereo, facial recognition), virtualized reality systems for immersive media applications, and robotics innovations in medical surgery (HipNav) and autonomous helicopters. He pioneered computational sensors integrating VLSI technology. Recent publications emphasize 3D vision, pose estimation, and real-time facial alignment, reflecting his work in social motion capture and scene-specific object recognition. His projects include Informedia (NSF/ARPA/NASA-funded digital video libraries) and EyeVision for immersive sports broadcasting. Scientific Awards: Kyoto Prize (2016), Benjamin Franklin Medal, Bower Prize, IEEE Pioneer Award, ACM/AAAI Allen Newell Award, Joseph Engelberger Award He advises past PhD and Master's students like Omead Amidi, Vladimir Brajovic, and Richard LaBarca. He founded the Digital Human Research Center and leads the Human Sensing Lab at CMU.

• Computer Vision
• Robotics
• Medical Robotics
• +۶ مورد دیگر