I am currently a Ph.D. doctoral candidate at MARS Lab in the EECS department at Washington State University Pullman. My work focusses on AI-Driven Design and Optimization for Server-Scale Applications. I love Physics and Pizza. :Artistic@Heart.
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
- [Mar 25]- Nominated for the VCEA Outstanding Dissertation Award. Fingers Crossed :)
- [Feb 25]- 'A Heterogeneous Chiplet Architecture for Accelerating End-to-End Transformer Models' accepted as full paper at Transactions on Design Automation of Electronic Systems 2025. [Preprint]
- [Jan 25]- Continuing my Ph.D. Co-Op through Spring24 with AMD.
- [Nov 24]- Won Best Paper Award! for 'A Dataflow-Aware Network-on-Interposer for CNN Inferencing in the Presence of Defective Chiplets'. [LINK]
- [Oct 24]- Volunteering to plant 92 trees with the team after a successful research demonstration to the organization at AMD, Austin.. with Me (left), Tanmay , Karlos, Kerry(right)
- [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 an 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 Researcher Award in EECS, Washington State University [LINK] .
- [Mar 24]- Nominated for the Outstanding Graduate Researcher 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.
