IEEE Control Systems Society Roberto Tempo Best CDC Paper Award

The Tempo Award will be given for the best paper (as judged by the Tempo Award Committee) presented at the annual IEEE Conference on Decision and Control. The award is named to honor Roberto Tempo to honor his intellectual contributions and life of service. He was the 44th President of the IEEE Control Systems Society.

Historical Background:

Established in 2017; Revised 2019.

Prize:

The award consists of a Certificate laminated on a plaque (one for each author) and a cash award in the amount of $1,000 to be divided among the authors.

Funding:

The cash award is funded by an endowment jointly provided by the IEEE Control Systems Society and Roberto Tempo’s family, and managed by the IEEE Foundation. The plaques are funded by the IEEE Control Systems Society.

Presentation:

At most one (1) award is presented annually at the Awards Ceremony of the IEEE Control Systems Society.

Basis for Judgement:

Originality, potential impact on any aspect of control theory, technology, or implementation, and the clarity of the writing.

Eligibility:

Authors of papers presented at the IEEE Conference on Decision and Control the year before the presentation of the award.

Nomination Details:

A nomination letter describing the excellence of the nominated paper should be submitted on the IEEE Control Systems Society Awards nomination system, http://awards.paperplaza.net/ by May 15 of the year following the presentation of the paper at the conference.

Recipients

2020

"2020 Roberto Tempo Best CDC Paper Award"

Tommaso Menara

"2020 Roberto Tempo Best CDC Paper Award"

Giacomo Baggio

"2020 Roberto Tempo Best CDC Paper Award"

Danielle S. Bassett

Biography

Danielle S. Bassett is the Eduardo D. Glandt Faculty Fellow and Associate Professor in the Department of Bioengineering at the University of Pennsylvania. She is most well known for her work blending neural and systems engineering to identify fundamental mechanisms of cognition and disease in human brain networks. She received a B.S. in physics from Penn State University and a Ph.D. in physics from the University of Cambridge, UK as a Churchill Scholar, and as an NIH Health Sciences Scholar. Following a postdoctoral position at UC Santa Barbara, she was a Junior Research Fellow at the Sage Center for the Study of the Mind. She has received multiple prestigious awards, including American Psychological Association’s ‘Rising Star’ (2012), Alfred P Sloan Research Fellow (2014), MacArthur Fellow Genius Grant (2014), Early Academic Achievement Award from the IEEE Engineering in Medicine and Biology Society (2015), Harvard Higher Education Leader (2015), Office of Naval Research Young Investigator (2015), National Science Foundation CAREER (2016), Popular Science Brilliant 10 (2016), Lagrange Prize in Complex Systems Science (2017), Erdos-Renyi Prize in Network Science (2018). She is the author of more than 225 peer-reviewed publications, which have garnered over 16700 citations, as well as numerous book chapters and teaching materials. She is the founding director of the Penn Network Visualization Program, a combined undergraduate art internship and K-12 outreach program bridging network science and the visual arts. Her work has been supported by the National Science Foundation, the National Institutes of Health, the Army Research Office, the Army Research Laboratory, the Office of Naval Research, the Department of Defense, the Alfred P Sloan Foundation, the John D and Catherine T MacArthur Foundation, the Paul Allen Foundation, the ISI Foundation, and the University of Pennsylvania.

Affiliation(s)

University of Pennsylvania

United States

"2020 Roberto Tempo Best CDC Paper Award"

Fabio Pasqualetti

2019

"Sparsity-constrained controllability maximization with application to time-varying control node selection"

IEEE CONTROL SYSTEMS LETTERS, VOL. 2, NO. 3, pp. 321-326, JULY 2018

Takuya Ikeda, and Kenji Kashima