Plenary Speaker at the 2025 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)
Keynote Speaker at IEEE SPAWC 2024
Selected as IEEE Signal Processing Society Distinguished Lecturer (2022)
Recipient of the 2023 Purdue Seed of Success ACORN Award
Named 2023 Purdue University Faculty Scholar
Received the 2023 Purdue College of Engineering Faculty Excellence Award in Research
Multiple papers accepted to NeurIPS, including 'Achieving Linear Convergence with Parameter-Free Algorithms in Decentralized Optimization' (NeurIPS 2024) and three papers in NeurIPS 2022
Developed parameter-free decentralized optimization algorithms with adaptive stepsize selection, published as preprints
Background
Barbara and Pedro Granadillo Professor, School of Industrial Engineering, Purdue University
Professor, Elmore Family School of Electrical and Computer Engineering (ECE), Purdue University
IEEE Fellow
Purdue University Faculty Scholar
Research interests: Machine Learning and Algorithms; Mathematical Optimization Theory/Methods and Engineering Applications; Distributed Computing and Information Processing; Algorithmic Game Theory and Applications; Variational Inequality Methods for Engineering