Bio

My general research interests are in artificial intelligence (AI) and machine learning (ML) with a focus on Design and Optimization of :Chiplet-based systems for enabling high-performance, energy-efficient, and scalable systems. The overarching goal of my research is to develop AI-driven Design Paradigms in huge-search spaces for efficient chip design geared towards high-impact applications. My Lab :Mission.

I am fortunate to be advised by Partha Pande and Jana Doppa, and work closely with Umit Ogras and Ananth Kalyanraman where I focus on developing complete systems that can enable defect-aware, thermally robust, and energy efficient systems within low-latency constraints. A brief of my work at MARS lab is :Chiplet-based Architecture Design. Previously I have worked on :Democratizing Education at scale. Prior to joining Ph.D., I worked for four years under the inimitable Dhananjay :Gadre at his Lab, converging multiple works including one of the most cited course on NPTEL, an American Journal of Physics paper, and helped spark tinkering in 1000+ young kids from all over India at multiple :venues.

News

[Aug 24]- Got Best Paper Candidate! for 'A Dataflow-Aware Network-on-Interposer for CNN Inferencing in the Presence of Defective Chiplets'. Presenting in Raleigh in Sept,24. [Preprint]

[July 24]- Got joining offer from AMD for Ph.D. Co-Op internship position for Fall24. Excited to start working on industry problems.

[June 24]- Led the workshop titled Learning through Pixels for high-school Native American students from tribes all over the country at WSU, Pullman. [LINK]

[Apr 24]- Got the Outstanding Graduate Student Researcher Award in EECS, Washington State University.

[Mar 24]- Nominated for the Outstanding Graduate Research Assistant Award. Fingers Crossed :)

[Mar 24]- Paper titled "Dataflow-Aware PIM-Enabled Manycore Architecture for Deep Learning Workloads" presented at DATE conference, Spain. [Preprint]

[Feb 24]- Nominated for the 'Best Graduate Research Assisant Award' in EECS department for 2023.

[Jan 24]- Panelist at JC Bose Science Dialogues(a selective, invitation-only roundtable discussions among Sci&Tech. ecosystem leaders -MIT, NYU, IISc, the Bill and Melinda Gates Foundation, former Principal Scientific Advisor, Pune Knowledge Cluster) at India Science Festival, IISER, Pune. OUTCOME A 3-page action-doc. outlining strategies to influence technology policymaking, submitted to the 'Office of the Principal Scientific Advisor', Govt. of India.

[Jan 24]- [UPDATE]: [LINK] . Gave talk 'Accelerating the Future of Electronics and beyond', IISc Bangalore. sensitizing research interests.

[Nov 23]- Got paper at DATE Conference. To be presented in Spain (March 2024).

[Sep 23]- Won the ACM/IEEE Best paper award for Florets for Chiplets in Germany. Grateful how community is appreciating the work.

[Aug 23]- Got National Science Foundation (NSF) travel grant for presenting Florets for Chiplets.

[Aug 23]- Got Best Paper Candidate! for Florets. Presenting in TUHH, Hamburg.

[May 23]- Passed my Preliminary Examination for Ph.D.. Halfway through. Now a doctoral candidate.

[Apr 23]- Our paper "Achieving Datacenter-scale Performance through Chiplet-based Manycore Architectures" presented at DATE Conference, Belgium. [LINK]

[Feb 23]- Got our fundamental Physics paper 'Science on a Stick' at the prestigious American Journal of Physics. [LINK]

[Dec 22]- Passed my Ph.D. Qualifiers. Towards the Ph.D. pathway.

[Oct 22]- SWAP got BEST PAPER AWARD. Stoked to get my first paper as a Best paper. [LINK]

[Jul 22]- Got Richard A. Newton Young Fellow Award at DAC Conference 2022.

[Jun 22]- SWAP Paper got accepted in TCAD-IC Journal [LINK]. Almost a year of work showing results.

[Jun 22]- Created a Chiplet-Yield model (to estimate yield of a wafer). [LINK]

[Previously]- I taught the Scientific Computing to 60 Physics Honors undergrads (yaay) from Kirori Mal College, Delhi University.

Want to know more?

you can write to me on email, or ping me on LinkedIn

:| कर्मण्येवाधिकारस्ते मा फलेषु कदाचन |