## Hello I am currently working as a **CPU Architect at Arm, Cambridge, United Kingdom**. My work focuses on CPU architecture, microarchitecture, performance optimization, hardware security, and efficient AI systems. Before this, I worked as a **Senior Research Scientist at Technology Innovation Institute, Abu Dhabi**, where I conducted research on edge AI, real-time systems, GPU performance, DNN compilers, and intelligent scheduling. Prior to that, I worked as a **Senior Engineer at Qualcomm**, focusing on processor performance and system optimization. My broader research interests include **computer architecture**, **hardware security**, **secure processors**, **memory systems**, **edge AI**, and **AI-assisted architecture design**.

## Selected Publications - **IceEdge: Thermal-Aware Machine Learning Inference Serving for Emerging Edge Applications** Omais Shafi et al., ACM TOSN, 2025 - **Repercussions of Using DNN Compilers on Edge GPUs for Real Time and Safety Critical Systems** Omais Shafi et al., ACM JETC, 2024 - **DynCNN: Application Dynamism and Ambient Temperature Aware Neural Network Scheduler in Edge Devices for Traffic Control** Omais Shafi et al., ACM COMPASS, 2022 - **Demystifying TensorRT: Characterizing Neural Network Inference Engine on Nvidia Edge Devices** Omais Shafi et al., IEEE IISWC, 2021 [Full publication list →](/publications/)

## Education **Ph.D. in Computer Science and Engineering** [2017 - 2021] Indian Institute of Technology Delhi, India **Bachelor of Technology in Information Technology** National Institute of Technology Srinagar, India

## Work Experience **CPU Architect** [2026 - Present] Arm, Cambridge, United Kingdom **Senior Research Scientist** [2023 - 2025] Technology Innovation Institute, Abu Dhabi, United Arab Emirates **Senior Engineer** [2022 - 2023] Qualcomm **Ph.D. Research Scholar** [2017 - 2021] Indian Institute of Technology Delhi, India

## Research Interests - Computer architecture and microarchitecture - CPU performance analysis and optimization - Hardware security and secure processors - Memory authentication and integrity trees - Edge AI and neural network inference - GPU performance and DNN compiler optimization - AI-assisted architecture design