AWARD    Arvind Raghunathan receives Roberto Tempo Best CDC Paper Award at 2022 IEEE Conference on Decision & Control (CDC)

Date released: December 9, 2022


  •  AWARD    Arvind Raghunathan receives Roberto Tempo Best CDC Paper Award at 2022 IEEE Conference on Decision & Control (CDC)
  • Date:

    December 8, 2022

  • Awarded to:

    Arvind Raghunathan

  • Description:

    Arvind Raghunathan, Senior Principal Research Scientist in the Data Analytics group, received the IEEE Control Systems Society Roberto Tempo Best CDC Paper Award. The award was presented at the 2022 IEEE Conference on Decision & Control (CDC).

    The award is given annually in honor of Roberto Tempo, the 44th President of the IEEE Control Systems Society (CSS). The Tempo Award Committee selects the best paper from the previous year's CDC based on originality, potential impact on any aspect of control theory, technology, or implementation, and for the clarity of writing. This year's award committee was headed by Prof. Patrizio Colaneri, Politecnico di Milano. Arvind's paper was nominated for the award by Prof. Lorenz Biegler, Carnegie Mellon University, with supporting letters from Prof. Andreas Waechter, Northwestern University, and Prof. Victor Zavala, University of Wisconsin-Madison.

  • MERL Contact:
  • Research Areas:

    Control, Optimization

    •  Raghunathan, A., "Homogeneous Formulation of Convex Quadratic Programs for Infeasibility Detection", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/​CDC45484.2021.9682847, December 2021, pp. 968-973.
      BibTeX TR2021-150 PDF
      • @inproceedings{Raghunathan2021dec,
      • author = {Raghunathan, Arvind},
      • title = {Homogeneous Formulation of Convex Quadratic Programs for Infeasibility Detection},
      • booktitle = {IEEE Conference on Decision and Control (CDC)},
      • year = 2021,
      • pages = {968--973},
      • month = dec,
      • doi = {10.1109/CDC45484.2021.9682847},
      • issn = {2576-2370},
      • isbn = {978-1-6654-3659-5},
      • url = {https://www.merl.com/publications/TR2021-150}
      • }