- Artificial intelligence
- Machine/Deep learning
- Neuromorphic computing
- High-performance computing
- Automatic tuning
- Derivative-free approaches for numerical optimization
- Stochastic local search algorithms for combinatorial optimization.
Prasanna Balaprakash’s research interests span the areas of artificial intelligence, machine learning, optimization, and high-performance computing. Currently, his research focus is on the automated design and development of scalable algorithms for solving large-scale problems that arise in scientific data analysis and in automating application performance modeling and tuning. He received a Bachelor’s degree in computer science engineering from the Periyar University in Salem, India; a Master’s degree in computer science from the Otto-von-Guericke University Magdeburg in Germany; and a Ph.D. in engineering sciences from CoDE-IRIDIA (AI Lab), Université libre de Bruxelles, Brussels, Belgium, where he was a Marie Curie fellow and later an FNRS Aspirant. He was the chief technology officer at Mentis Sprl., a data analytics startup in Brussels, Belgium for a year before moving to Argonne in late 2010, where he was a postdoc until late 2013. He is an assistant computer scientist with a joint appointment in the Mathematics and Computer Science Division and the Leadership Computing Facility at Argonne National Laboratory.