Explore peer-reviewed research, journal articles, and conference proceedings published by our team.
This paper presents a novel NAS framework that reduces computational overhead by 42% while maintaining inference accuracy.
Analysis of post-quantum cryptographic systems with real-world benchmarking across 10+ enterprise environments.
December 2023 | IEEE TAC
December 2023 | IEEE TAC
Developed GNN architecture to predict climate patterns with 94% accuracy across 20+ global datasets.
July 2024 | AAAI
July 2024 | AAAI
Introduced hybrid neural Turing machines achieving state-of-the-art code generation results across 7 programming languages.
We welcome collaboration opportunities, co-authorship proposals, and guest contributions in emerging research fields.
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