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Having shown their mettle in the information technology, Indian-origin techies are now showing their mental prowess in artificial intelligence (AI). Three Indian-origin researchers were awarded the prestigious 2025 Outstanding Postdoctoral Performance Awards by Argonne National Laboratory.
The award is given to early career scientists who are advancing scientific knowledge and contributing to national missions in energy and security. Kiran Kumar Yalamanchi, FNU Shilpika, and Teja Chitty-Venkata received the 2025 award for their work in AI, high-performance computing, and sustainability.
Yalamanchi’s research is related to computational science, integrating traditional physics-based modeling with machine learning. His work focuses on fluid dynamics and energy applications. He contributed towards the development of multimodal foundation models that can analyse different types of data to predict behavior and design new materials.
Chitty-Venkata’s research focuses on making AI systems more capable and efficient. His research is mainly on techniques such as pruning and quantization to streamline neural networks without compromising on performance. He also developed open-source tools like LLM-Inference-Bench, which measures how efficiently AI models run on high-performance systems. His work are vital for scaling AI in a cost-effective manner.
Shilpika focused on making complex algorithms more transparent. An employee at the Argonne’s Leadership Computing Facility, she developed a ‘digital twin’ of Aurora, one of the world’s most powerful exascale supercomputers.
The virtual replica mimics the real system and lets engineers and scientists monitor performance, predict failures and optimize operations in real time. Her work is crucial for maintaining efficiency, as supercomputers are increasingly becoming complex.
