Through our diverse and multidisciplinary approach, SCS faculty and staff are thinking big, working hard, and making the next great idea a reality. We work closely with partners to develop and mature technologies from concept through delivery to end-users.
Contact us to learn how you can participate in any of the sample research projects or programs listed below.
Carnegie Mellon University CyLab brings together experts from a variety of disciplines across the university to collaborate on cutting-edge research and educate the next generation of security and privacy professionals. Everything we do is fueled by our passion to create a world in which technology can be trusted.
ENAiBLE's mission is to create more humane, efficient, and positive retail and service experiences. ENAiBLE is a unique forum for the advancement of retail and service industries. The primary goal is to meet the needs of these industries and their customers through advances in service design, organizational change, robotics and automation, data analytics, and responsible artificial intelligence.
The Parallel Data Lab at Carnegie Mellon University is academia's premiere data systems research center. An interdisciplinary group, its 50+ researchers come mainly from the Computer Science and ECE Departments. PDL also has a lot of friends in industry who generously provide us with advice, and some of the funding and equipment necessary to carry out our research.
PDL has an almost 30-year track record of research, education, and collaboration with industry. A brief description of PDL's genesis and early history can be found here.
AI Fusion can augment humans and increase quality of life, safety, productivity, and efficiency in meaningful, transformative ways.
Advancing digital health research and technology through the development of AI and computational solutions, collaborative partnerships, and transfer of knowledge and methods.
The goal of the Center for IDeaS at Carnegie Mellon University is to enhance social-cybersecurity to preserve and support an informed democratic society.
Unprecedented resources through the Center for Machine Learning and Health (CMLH) have the potential to turn Carnegie Mellon University's novel, interdisciplinary research and innovation into data-driven health solutions that matter.
At the Center for Transformative Play (CTP) we use the power of play to tackle educational, industrial, and social challenges, from teaching children about robotics to helping adults with aphasia rehabilitation exercises.
XR presents the next paradigm in how humans communicate with each other, and interact with and experience digital information. XR will enable integrating digital information into users' everyday lives, and remove all restrictions and barriers current devices pose.
CMU’s Responsible AI initiative brings together researchers and educators spanning computer science, engineering, decision sciences, philosophy, arts, economics, psychology, public policy, statistics, and business. Carnegie Mellon has the expertise and ingenuity that is necessary to direct advances in AI toward social responsibility.
WebAssembly - the next-generation universal execution platform. Wasm is quickly growing beyond the Web, being adopted in a diverse set of platforms, from Edge computing to distributed compute infrastructure, embedded systems, and more.