Andrea Simonetto  Andrea Simonetto photo         

contact information

Researcher in Optimization, Control, and Signal Processing
Ireland Research Lab, Dublin, Ireland


Professional Associations

Professional Associations:  IEEE Member  |  IEEE Signal Processing Society

more information

More information:  Google Scholar Profile  |  arXiv Profile  |  Personal Website



Short bio

Dr. Andrea Simonetto is a research staff member in the optimization and control group of IBM Research Ireland. He received his M.Sc. in aerospace engineering for Politecnico di Milano and Torino, Italy in 2008, and his Ph.D. degree in systems and control from Delft University of Technology, Delft, The Netherlands, in 2012. He was a postdoctoral researcher from 2012 till 2016, first in the signal processing group in Delft, then in the applied mathematics department at the Université catholique de Louvain, Louvain-la-neuve, Belgium. He held visiting scholar positions at Carnegie Mellon University, PA, USA, as well as University of Pennsylvania, PA, USA, and KTH, Sweden. He joined IBM Research in 2017. Dr. Simonetto's expertise lies at the intersection of control theory, optimization, and signal processing, with application focus in smart power grids, intelligent ground and air transportation systems, health care, and quantum computing.


Things I am working on currently

  • Online algorithms for time-varying optimization problems (prediction-correction, correction-only, feedback-based).
  • Personalized optimization with Gaussian Processes.
  • Online algorithms for dynamic ridesharing and shared mobility.
  • Optimization algorithms on quantum computers.
  • Applications: smart grids, intelligent transportation, personalized health, quantum computing.


Things I have worked on

  • Convex and non-convex optimization: both from a theoretical perspective and algorithmic implementation. Recent works include prediction-correction algorithms to track the solution trajectory of time-varying convex programs. Older works include networked SDP convex relaxations of certain classes of non-convex programs.
  • Distributed optimization, especially in connection with robotic and wireless sensor networks.
  • Control theory in the context of distributed control design, model predictive control, embedded control systems.
  • Signal processing: distributed estimation, sparse reconstructions, compressive sensing, wireless sensor network localization, sensor selection, graph signal processing.
  • Parallel computing in the context of nonlinear estimation and specifically particle filtering.



  • PhD in systems and control, Delft University of Technology, The Netherlands, 2012.
  • M.Sc. in aerospace enginering, Politecnico di Milano and Torino, Italy, 2008.
  • Alta Scuola Politecnica (ASP) diploma, 2008.


Professional experience

  • Feb 2017- now: Research staff member at IBM Research Ireland (optimization and control team 2017- Apr 2020, AI & Quantum team Apr 2020-).
  • March 2016- January 2017: Postdoctoral scholar at Université catholique de Louvain, Belgium (applied mathematics department).
  • January 2013- Feb 2016: Postdoctoral scholar at Delft University of Technology, The Netherlands (signal processing department).
  • Short academic visits: Carnegie Mellon University, PA, USA (2007 and 2008); KTH, Sweden (2011); University of Pennsylvania, PA, USA (2015).



  • IBM Research (A-level) accomplishment for "Positioning IBM as the Leader in Quantum Finance", 2020.
  • IBM Research Division award for the work on "Operations of networked systems using Semidefinite Programming", 2019.
  • Best paper award at the 8th International Conference on Research in Air Transportation (ICRAT), 2018.
  • DISC PhD Thesis award. Best PhD Thesis in system and control theory in the Netherlands at a given year, 2013.
  • Politecnico di Milano Gold medal for the best student in space engineering at a given year, 2008.
  • Honorable mention at 33rd International Physics Olympiad (IPhO), 2002.