Ryan Grant

Dr. Ryan Grant is an Assistant Professor in the Department of Electrical and Computer Engineering at Queen’s University, Canada. He leads the Computing at Extreme Scale Advanced Research (CAESAR) lab and is affiliated with the Ingenuity Labs Research Institute. His expertise spans cloud computing, high-performance networks, low-level hardware-software interfaces, and energy-efficient supercomputing systems. Dr. Grant holds a PhD from Queen’s University (2012) and previously worked at Sandia National Laboratories (2012–2021), where he contributed to critical supercomputer communication protocols now deployed globally. He has authored over 80 peer-reviewed articles and received prestigious awards including the R&D100 Award and Queen’s University’s 125th Engineering Alumni Award. His research emphasizes advancing Canada’s supercomputing infrastructure to support AI, climate science, and national security applications.

Education:

• PhD in Computer Engineering, Queen’s University (2012)
• MSc in Computer Engineering, Queen’s University (2005)
• BSc in Computer Engineering, Queen’s University (2004)

Research Interests: Dr. Grant’s work focuses on optimizing supercomputing architectures for extreme-scale systems, with an emphasis on:

• High-performance networking and MPI communication protocols
• Power/energy management in HPC systems
• AI-driven network traffic prediction and resource disaggregation
• GPU-accelerated computing and cloud infrastructure integration
• National sovereignty in supercomputing for sensitive applications (e.g., defense, healthcare)

Awards & Recognition:

• R&D100 Award (Oscars of Research)
• U.S. Defense Programs Awards
• Public Good Innovator Award
• Queen’s University 125th Engineering Alumni Award

Grants & Labs: Dr. Grant directs the CAESAR lab, one of the world’s leading supercomputing architecture research groups. His work is supported by grants from Canadian and international agencies, focusing on sovereign supercomputing and HPC-AI convergence.

Labs/Teams:

• CAESAR Lab (Queen’s University)
• Ingenuity Labs Research Institute