| Feb 01, 2025 | algorithmic work on a fault-tolerant inference scheme for noisy neural networks published in Nature Communications: Neuromorphic Engineering |
| Jan 30, 2025 | successfully defended my PhD dissertation titled “Memristive Neural Networks: Modeling, Prototyping, and Hardware-Software Co-Design”! |
| Jan 17, 2025 | filed patent on a general fault-tolerance scheme for neural network accelerators based on noisy hardware |
| Dec 19, 2024 | delivered a seminar titled “Accelerating LLMs with Magnetic Crosspoint Arrays” at Western Digital, San Jose, CA, concluding my research internship with the Advanced Memory Technology group |
| Oct 19, 2024 | presented work on an ensembling technique for added fault-tolerance in noisy neural networks at the Innovation Bazaar, Western Digital, Milpitas, CA |
| Jun 01, 2024 | accepted a research internship offer at Western Digital Research (funded by the NSF INTERN program). will join the Advanced Memory Technology group to work on cutting-edge AI accelerators |
| Jan 25, 2024 | simulation work on neural networks using three-terminal FeFET devices published at NANOARCH 2023 |
| Nov 02, 2023 | presented hardware neural network inference results at the NIST PREP Symposium |
| Jan 20, 2023 | work on a novel modeling scheme and evaluating quality of memristive neural network models published at IEEE JETCAS |
| Dec 01, 2022 | presented work on accurately modeling memristive neural networks at MEMRISYS 2022 |
| Jul 27, 2022 | presented work on training memristive neural networks at ICONS 2022 |
| Apr 13, 2022 | presented work on low-rank training algorithms at GW Research Showcase |
| Nov 21, 2021 | work on low-rank training algorithms for noisy neural networks published at Frontiers in Neuroscience: Neuromorphic Engineering |
| Oct 13, 2021 | paper on Daffodil - a unified platform for benchmarking resistive neural networks - published at ICONS 2021 |