Scholar
Sandeep Madireddy
Google Scholar ID: jSa5jTAAAAAJ
Mathematics and Computer Science Division, Argonne National Laboratory
Citations & Impact
Citations
1,387
H-index
18
i10-index
27
Publications
20
Co-authors
35
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Received new funding for projects like BIA, Energy Efficient Computing, AI for the Sky, etc.; Deephyper project shortlisted as R&D 100 Finalist; Best Paper Award at the ICLR 2024 Workshop on Tackling Climate Change with Machine Learning.
Research Experience
- Currently a Computer Scientist in the Mathematics and Computer Science Division at Argonne National Laboratory. Serves as Co-investigator (and AI lead) for several DOE and NSF-funded projects such as AuroraGPT, RAPIDS2, EFIT-AI, CETOP, PRISM, etc. Also provides professional services to various machine learning, high performance computing, and domain science conferences and journals.
Education
- Ph.D. in Mechanical and Materials Engineering (focusing on Probabilistic Machine Learning) from the University of Cincinnati, part of the UC Simulation center (a Procter & Gamble Collaboration); M.S. from Utah State University; B.S. from Birla Institute of Technology and Science (BITS-Pilani) in India. Previously a postdoc and assistant computer scientist in the Mathematics and Computer Science Division at Argonne National Laboratory, advised by Prasanna Balaprakash and Stefan Wild.
Background
- His research spans across the areas of probabilistic machine learning, bio-inspired and energy-efficient learning, high-performance computing, and generative AI, with an emphasis on safety and robustness. His research integrates algorithmic research in these areas with applied research aimed to advance scientific discovery in critical areas such as fusion energy sciences, cosmology and high-energy physics, weather and climate, and material science.
