جستجوی استاد راهنمای دانشگاهی

Seth Copen Goldstein is an Associate Professor in the Computer Science Department at Carnegie Mellon University's School of Computer Science. His research spans multiple interdisciplinary domains focusing on ensembles - large collections of interacting agents. He has made significant contributions to reconfigurable computing, molecular-scale devices, programmable matter, and more recently, the impact of technology on labor markets and alternative monetary systems. Education: PhD in Computer Science, University of California at Berkeley BS, Princeton University Goldstein's research agenda has evolved from reconfigurable computing to molecular-scale devices and programmable matter, and most recently to social technology and alternative monetary systems. His early work focused on compiling high-level programming languages directly into configurations for computing ensembles of gates. He then investigated molecular-scale circuits and programmable matter - ensembles of computing elements that can be programmed to change physical properties. Since returning from a startup, he has shifted focus to ensembles of people, studying technology's impact on labor markets and innovation, and developing social technologies to reduce poverty and inequality. His publication trends show a consistent focus on modular robotics, distributed systems, and programmable matter. The research spans theoretical foundations, hardware implementation, and programming languages for large-scale ensembles. Recent work emphasizes energy efficiency, distributed algorithms, and novel programming paradigms for heterogeneous systems. The interdisciplinary nature of his work connects computer science, electrical engineering, and social sciences. Research Leadership: Claytronics project - creating ensembles of cooperating submillimeter robots Development of Meld and LDP programming languages for ensemble systems Phoenix project - computing without processors Building on Local Trust (BoLT) initiative Goldstein has advised numerous PhD students who have gone on to positions at major technology companies including Microsoft Research, Sun Microsystems, and NEC Labs. His work has been supported by significant research grants focusing on modular robotics, programmable matter, and distributed computing systems. He has taught core computer science courses including Compiler Design, Introduction to Computer Systems, and Cloud Computing.

• Programmable Matter
• Claytronics
• Reconfigurable Computing
• +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

Dr. Lining Yao is a Cooper-Siegel Associate Professor of Human-Computer Interaction at Carnegie Mellon University's School of Computer Science, directing the Morphing Matter Lab. She holds courtesy appointments in Mechanical Engineering and Materials Science & Engineering, and is part of the Softbotics initiative. With a PhD from MIT Media Lab (2017), her research focuses on programmable materials, sustainable design, and interdisciplinary fabrication. Yao is a UNIDO eco-design instructor, CMU Inclusive Teaching Fellow, and NSF CAREER Award recipient. Education: PhD in Media Arts & Sciences, MIT Media Lab (2017) Bachelor's/Master's (unspecified in text) Research Interests: Yao's work bridges material science, computation, and design to create adaptive systems. Key themes include morphing materials for sustainability, soft robotics, food engineering, and human-plant interaction. Her lab explores biodegradable actuators, self-folding devices, and energy-harvesting systems. Key Contributions: Notable projects include self-burying seed carriers (Nature 2023), morphing pasta (Science Advances 2021), and the Thermorph 4D printing system (CHI 2018). She co-founded MorphingMatter4Girls, promoting STEM engagement. Awards: NSF CAREER Award 9 Best Paper/Talk Awards Wired UK Fellowship Labs & Future Work: The Morphing Matter Lab develops eco-conscious materials and systems. Upcoming directions include LLM-driven generative design, programmable degradation mechanisms, and interdisciplinary physical AI systems.

• Programmable and Morphing Materials
• Computational Fabrication
• Design Practices
• +۵ مورد دیگر