IEEE Control Systems Editorial Board

IEEE CSM Editor-in-Chief

IEEE CSM Emeritus Editor-in-Chief

Jonathan How

Massachusetts Institute of Technology

United States

IEEE CSM Corresponding Editor, Conference Activities

IEEE CSM Senior Technical Writer

IEEE CSM Associate Editors, Book Reviews

IEEE CSM Technical Associate Editors

Bassam Bamieh

University of California, Santa Barbara

United States

Alexandre Bazanella

Universidade Federal do Rio Grande do Sul

Brazil

Francesco Borrelli

University of California, Berkeley

United States

Scott Bortoff

Mitsubishi Electric Research Laboratories

United States

Warren Dixon

Biography

Prof. Warren Dixon received his Ph.D. in 2000 from the Department of Electrical and Computer Engineering from Clemson University. He worked as a research staff member and Eugene P. Wigner Fellow at Oak Ridge National Laboratory (ORNL) until 2004, when he joined the University of Florida in the Mechanical and Aerospace Engineering Department. His main research interest has been the development and application of Lyapunov-based control techniques for uncertain nonlinear systems. His work has been recognized by the 2019 IEEE Control Systems Technology Award, (2017-2018 & 2012-2013) University of Florida College of Engineering Doctoral Dissertation Mentoring Award, 2015 & 2009 American Automatic Control Council (AACC) O. Hugo Schuck (Best Paper) Award, the 2013 Fred Ellersick Award for Best Overall MILCOM Paper, the 2011 American Society of Mechanical Engineers (ASME) Dynamics Systems and Control Division Outstanding Young Investigator Award, the 2006 IEEE Robotics and Automation Society (RAS) Early Academic Career Award, an NSF CAREER Award (2006-2011), the 2004 Department of Energy Outstanding Mentor Award, and the 2001 ORNL Early Career Award for Engineering Achievement. He is an ASME Fellow and IEEE Fellow, an IEEE Control Systems Society (CSS) Distinguished Lecturer, and served as the Director of Operations for the Executive Committee of the IEEE CSS Board of Governors (2012-2015). He was awarded the Air Force Commander's Public Service Award (2016) for his contributions to the U.S. Air Force Science Advisory Board. He is currently or formerly an associate editor for ASME Journal of Dynamic Systems, Measurement and Control, Automatica, IEEE Control Systems, IEEE Transactions on Systems Man and Cybernetics: Part B Cybernetics, and the International Journal of Robust and Nonlinear Control.

Affiliation

University of Florida

United States

Yiguang Hong

Chinese Academy of Sciences

China

J. Sean Humbert

University of Colorado, Boulder

United States

Derek Paley

University of Maryland

United States

William Pasillas-Lépine

Centre National de la Recherche Scientifique

France

Marco Pavone

Stanford University

United States

Marco Pavone

Biography

Dr. Marco Pavone is an Assistant Professor of Aeronautics and Astronautics at Stanford University, where he also holds courtesy appointments in the Department of Electrical Engineering, in the Institute for Computational and Mathematical Engineering, and in the Information Systems Laboratory. He is a Research Affiliate at the NASA Jet Propulsion Laboratory (JPL), California Institute of Technology. Before joining Stanford, he was a Research Technologist within the Robotics Section at JPL. He received a Ph.D. degree in Aeronautics and Astronautics from the Massachusetts Institute of Technology in 2010. Dr. Pavone’s areas of expertise lie in the fields of controls and robotics.

Dr. Pavone is a recipient of an NSF CAREER Award, a NASA Early Career Faculty Award, a Hellman Faculty Scholar Award, and was named NASA NIAC Fellow in 2011. At JPL, Dr. Pavone worked on the end-to-end optimization of the mission architecture for the Mars sample return mission. He has designed control algorithms for formation flying that have been successfully tested onboard the International Space Station.

Dr. Pavone is the Director of the Autonomous Systems Laboratory (ASL). The goal of ASL is the development of methodologies for the analysis, design, and control of autonomous systems, with a particular emphasis on large-scale robotic networks and autonomous aerospace vehicles. The lab combines expertise from control theory, robotics, optimization, and operations research to develop the theoretical foundations for networked autonomous systems operating in uncertain, rapidly-changing, and potentially adversarial environments. Theoretical insights are then used to devise practical, computationally-efficient, and provably-correct algorithms for field deployment. Applications include robotic transportation networks, sensor networks, agile control of spacecraft during proximity operations, and mobility platforms for extreme planetary environments. Collaborations with NASA centers are a key component of the research portfolio.

Affiliation

Stanford University

United States

Daniel Quevedo

Paderborn University

Germany

Camille Alain Rabbath

Defense Research and Development Canada

Canada

Simona Sacone

Università di Genova

Italy

Sridevi Sarma

Johns Hopkins University

United States

Thomas Schön

Uppsala University

Sweden

Thomas Schön

Biography

Thomas B. Schön is Professor of the Chair of Automatic Control in the Department of Information Technology at Uppsala University. He received the PhD degree in Automatic Control in Feb. 2006, the MSc degree in Applied Physics and Electrical Engineering in Sep. 2001, the BSc degree in Business Administration and Economics in Jan. 2001, all from Linköping University. He has held visiting positions with the University of Cambridge (UK), the University of Newcastle (Australia) and Universidad Técnica Federico Santa María (Valparaíso, Chile). In 2018, he was elected to The Royal Swedish Academy of Engineering Sciences (IVA) and The Royal Society of Sciences at Uppsala. He received the Tage Erlander prize for natural sciences and technology in 2017 and the Arnberg prize in 2016, both awarded by the Royal Swedish Academy of Sciences (KVA). He was awarded the Automatica Best Paper Prize in 2014, and in 2013 he received the best PhD thesis award by The European Association for Signal Processing. He received the best teacher award at the Institute of Technology, Linköping University in 2009. He is a Senior Member of the IEEE and a fellow of the ELLIS society.

Schön has a broad interest in developing new algorithms and mathematical models capable of learning from data. His main scientific field is Machine Learning, but he also regularly publishes in other fields such as Statistics, Automatic Control, Signal Processing and Computer Vision. He pursues both basic research and applied research, where the latter is typically carried out in collaboration with industry or applied research groups. More information about his research can be found on his website: user.it.uu.se/~thosc112.

Affiliation

Uppsala University

Sweden

Changyun Wen

Nanyang Technological University

China

Yildray Yildiz

Bilkent University

Turkey

IEEE CSM Editor-in-Chief

Rodolphe Sepulchre

IEEE CSM Emeritus Editor-in-Chief

Jonathan How

IEEE CSM Corresponding Editor, Conference Activities

S. Zeeshan Rizvi

IEEE CSM Senior Technical Writer

Alicia Nicki Washington

IEEE CSM Associate Editors, Book Reviews

Hesuan Hu

Scott Ploen

Hong Yue

IEEE CSM Technical Associate Editors

Behçet Açikmese

Bassam Bamieh

Ravi Banavar

Alexandre Bazanella

Francesco Borrelli

Scott Bortoff

Warren Dixon

Yiguang Hong

J. Sean Humbert

Derek Paley

William Pasillas-Lépine

Marco Pavone

Daniel Quevedo

Camille Alain Rabbath

Simona Sacone

Sridevi Sarma

Thomas Schön

Changyun Wen

Yildray Yildiz