Center for Research in Use-Inspired Cyber-Physical Systems Center, CYPRESS explores multi-domain multimodal sensing, communication, learning, and perception techniques to advance responsible AI and fair machine learning, autonomy and robotics, and edge computing models, tools, and systems. The center investigates cutting-edge scalable, lightweight, and resilient use-inspired machine learning algorithms, computer vision, autonomous navigation in unstructured and digital twin environments, cyber-physical systems for smart and connected health, smart and connected communities, and robotics applications.
Our Vision
The Center for Research in Use-Inspired Cyber-Physical Systems is committed to advancing machine learning in the era of AI-driven innovation, focusing on critical applications in healthcare and autonomous systems. Particularly, we envision advancing robust algorithms for task-specific applications in healthcare, computer perception, and autonomous navigation by leveraging multimodal sensor data. Additionally, we aim to develop efficient edge computing solutions to ensure scalability for these applications, driving impactful research in smart and connected health and autonomous systems.What We Do
he Center for Research in Use-Inspired Cyber-Physical Systems (CYPRESS) focuses on advancing AI, machine learning, and autonomous systems through multi-domain multimodal sensing, communication, learning, and perception techniques. We develop scalable, lightweight, and resilient machine-learning algorithms for critical applications such as autonomous navigation, smart health, and robotics. CYPRESS drives innovation in structured and unstructured environments by exploring cutting-edge solutions in areas like computer vision and edge computing, including digital twin simulations. Collaborating with federal sponsors like NSF, NIH, DoD, ARL, ONR, and industry partners, we advance application-driven research targeting societal needs such as contactless health sensing, human activity recognition, and search and rescue operations. Our research supports key thrust areas, including responsible AI, resource-efficient edge computing, and human-in-the-loop systems for smart and connected communities.What Sets Us Apart
We are a team with diverse backgrounds in theoretical and practical applications of data-driven learning and devices, collectively working towards developing robust and trustworthy systems. Our unique combination of expertise in AI, machine learning, cyber-physical systems, and real-world applications enables us to create solutions that are not only innovative but also scalable, safe, and reliable. This interdisciplinary approach allows CYPRESS to bridge the gap between research and real-world impact, driving advancements in healthcare, autonomous systems, and smart connected technologies.Center Collaborates
