Hardware performance analysis: It is often difficult to predict the performance of an application on a new hardware without actually executing the application on the hardware. My group works on developing analytical and empirical models for application performance prediction on various hardware platforms.
[JETC 2024] [IISWC 2021]
Deployment of Edge-AI applications : My group focuses on developing techniques for joint optimization of accuracy- throughput-temperature trade-offs in practical deployments of AI/ML applications (eg. traffic signal control) on Heterogenous MPSoCs.
[SEC 2023] [COMPASS 2022] [TCAD 2020]
Approximate Computing on Edge AI: We focus on the design and implementation of techniques allowing AI models and algorithms to be deployed on approximate hardware to achieve high energy efficiency
without compromising the quality of results.