Gesualdo Scutari

Gesualdo Scutari is an Associate Professor at Purdue University's College of Engineering, Department of Industrial Engineering. He previously served as an Assistant Professor at the State University of New York at Buffalo and held research appointments at UC Berkeley, HKUST, University of Rome, and UIUC.

• PhD in Electrical Engineering (with honors), University of Rome 'La Sapienza', 2005
• BSc in Electrical Engineering (with honors), University of Rome 'La Sapienza', 2001

His research focuses on theoretical and algorithmic aspects of large-scale optimization, including equilibrium programming, decentralized optimization, and distributed decision systems. Applications span signal processing, medical imaging, machine learning, communications, and networking. Key contributions include developing parameter-free decentralized algorithms, adaptive stepsizing methods, and accelerated frameworks for sparse regression and nonconvex optimization.

Recent publications demonstrate expertise in decentralized convex/nonconvex optimization, gradient tracking, stochastic methods, and quantized algorithms. His work often addresses statistical guarantees, convergence rates, and high-dimensional optimization problems.

• 2020 IEEE Signal Processing Society Best Paper Award
• 2013 NSF CAREER Award
• 2013 UB Young Investigator Award

Dr. Scutari serves as Associate Editor for IEEE Transactions on Signal Processing and IEEE Transactions on Signal and Information Processing over Networks. He is active in the IEEE Signal Processing Society Technical Committee on Signal Processing for Communications.