AI Computing Infrastructure, Hardware & Systems
Designing the computing stack from emerging devices and chips to deployed AI systems and data centers.
Learn more ↗Farshad Firouzi is a faculty member in the Department of Electrical and Computer Engineering at Johns Hopkins University, a member of the Data Science and AI Institute, and a technology entrepreneur. His work spans the full AI computing stack—from emerging devices, microelectronics, and AI accelerators to foundation models, agentic AI, and intelligent computing infrastructure. He advances cross-layer innovations to develop efficient, scalable, secure, and trustworthy AI systems for real-world applications, including physical and embodied AI, autonomous systems, and space computing and communications.
Official JHU Faculty Profile ↗
Designing the computing stack from emerging devices and chips to deployed AI systems and data centers.
Learn more ↗Space data centers, non-terrestrial communications, secure satellite systems, and orbital computing.
Learn more ↗Intelligence in physical environments, from efficient edge inference to autonomous agents.
Learn more ↗Advancing the security, safety, reasoning, and dependability of models, agents, hardware, and systems.
Learn more ↗Orbital Open Radio Access Network for non-terrestrial networks and space-based edge computing.
Visit O²-RAN website ↗Explore O²-RAN, space data centers, agentic AI for chip design, and custom AI accelerators and microelectronics.
Projects & Initiatives ↗Selected Springer volumes covering intelligent IoT, connected health, AI, and trustworthy technologies.
View books on Amazon ↗Founder and Steering Committee Co-Chair of the IEEE International Conference on Omni-Layer Intelligent Systems.
Visit IEEE COINS ↗Browse my journal articles and conference papers on Google Scholar. Books and edited volumes are available through my Amazon author page.
Research papers on Google Scholar ↗ Books on Amazon ↗