Gesualdo Scutari
Scholar

Gesualdo Scutari

Google Scholar ID: CKsVJugAAAAJ
Purdue University
machine learningdistributed optimizationsignal processing
Citations & Impact
All-time
Citations
4,884
 
H-index
35
 
i10-index
79
 
Publications
20
 
Co-authors
14
list available
Contact
Resume (English only)
Academic Achievements
  • 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