My research interest lies in the areas of computer architecture and hardware security, with a focus on defenses against transient execution attacks and cache-based side channel attacks.

For decades, Moore’s Law and its partner Dennard Scaling have driven technology trends that have enabled exponential performance improvements in computer systems at manageable power dissipation. With the slowing of Moore/Dennard improvements, designers have turned to a range of approaches for extending scaling of computer systems performance and power efficiency. Unfortunately, these scaling gains come at the expense of degraded hardware-software abstraction layers, increased complexity at the hardware-software interface, and increased challenges for software reliability, interoperability, and performance portability. My work explores the way forward for computer systems designers in this “Post-ISA” era of shifting abstractions. My group looks hardware and software design issues for specialization/heterogeneity and methods for formal verification. We are also increasingly focused on the hardware/software systems issues of Quantum Computing.

I am currently a Ph.D. Research Scholar with the School of IT, Indian Institute of Technology Delhi, New Delhi, India.
My current research interests span the areas of architecture design and acceleration techniques for computer vision and image processing applications, designing convolutional neural network accelerators, and machine learning applications to computer architecture.