News & Updates
- May 2026 — I got my Master of Philosophy from Yale.
- April 2026 — Weighted Stochastic Differential Equation to Implement Wasserstein-Fisher-Rao Gradient Flow was accepted to be presented at AI Symposyum at Yale as a lightning talk.
- April 2026 — FedAVOT was accepted to be presented at AI Symposyum at Hartford
- January 2026 — ICASSP accepted our FEDAVOT paper.
- December 2025 — Weighted Stochastic Differential Equation to Implement Wasserstein-Fisher-Rao Gradient Flow is now on Arxiv.
- November 2025 — I defended my prospectus and now I am a Ph.D. Candidate!
- November 2025 — "Uncertainty-Aware Generative Oversampling Using an Entropy-Guided Conditional Variational Autoencoder" is now on arxiv.
- October 2025 — Student Best Paper Constest: CAMSAP accepted Convergence of Federated Average Algorithm paper, and it was finalist of best paper award!
- September 2025 — "FedAVOT: Exact Distribution Alignment in Federated Learning via Masked Optimal Transport" is now on Arxiv.
- July 2025 — Convergence of Agnostic Federated Average Algorithm is now on Arxiv.
- March 2025 — Received my Master of Science degree from Yale’s School of Electrical & Computer Engineering.
- Spring 2025 — Taught a mini-course on Information Geometry exploring geometric aspects of inference and divergence.
- February 2025 — Won the Best Original Love Poem Award @ Yale ❤️
- May 2024 — Honored with Yale’s Graduate Student Top-Up Fellowship 💰 ($1,250) for completing coursework with the highest overall GPA.
- 2024 — Began new research on Risk-Averse Federated Learning, combining CVaR and DRO frameworks for robust multi-client training.