Call for Papers: SIAM Journal on Control and Optimization Special Section on Mathematical Modeling, Analysis, and Control of Epidemics

Category: Call for Papers


Call for Papers: SIAM Journal on Control and Optimization Special Section on Mathematical Modeling, Analysis, and Control of Epidemics

SIAM Journal on Control and Optimization (SICON) plans a Special Section to bring together contributions at the intersection of the fields of systems and control theory and the mathematical study of epidemic spread processes. We envision submissions related to COVID-19, but we additionally encourage general topics associated with epidemic processes.

Submissions will be accepted July 1 through October 1, 2020. 

The ongoing COVID-19 pandemic has brought to the spotlight the critical importance and danger of complex epidemic processes. The intent of the section is to gather recent developments aimed at addressing the fundamental challenges inherent in the mathematical analysis, estimation, and control of epidemics. Specific topics addressed in the section include (but are not limited to):

  • Mathematical modeling and analysis methods, including ordinary and partial differential equations as well as deterministic and stochastic systems
  • Closed-loop control design strategies, including triggers for enforcing and relaxing non-pharmaceutical intervention strategies
  • Optimization algorithms for intervention scheduling and resource allocation,
  • Computational methods for stochastic simulation
  • Learning methods for early tracking, identification, inference, and data-driven analysis.


All interested should submit a manuscript and cover letter in PDF format via SICON’s online submission site: Note the block labeled Special Section (just under the keywords block on your submission screen). From the dropdown select ” Mathematical Modeling, Analysis, and Control of Epidemics.”

If any questions, contact Mitch Chernoff, SIAM Publications Manager, at, or Brian Fauth, Editorial Associate, at Questions about suitability of content can be directed to Francesco Bullo, guest editor-in-charge, at

Submit work for consideration July 1 through October 1, 2020.

Guest Editors:

Carolyn Beck, University of Illinois, Urbana-Champaign
Francesco Bullo, University of California, Santa Barbara
Giacomo Como, Politecnico di Torino
Kimon Drakopoulos, University of Southern California
Dang H. Nguyen, University of Alabama
Cameron Nowzari, George Mason University
Victor M. Preciado, University of Pennsylvania
Shreyas Sundaram, Purdue University

Contact: Francesco Bullo

Special Issue on Systems & Control Research Efforts Against COVID-19 and Future Pandemics

Category: Call for Papers


The novel coronavirus SARS-CoV-2 causes a severe, potentially fatal acute respiratory syndrome, COVID-19, that has paralyzed our societies, leading to prolonged self-isolation and quarantine. Indeed, COVID-19 is a major threat to humans, with alarming levels of spread and death tolls. The WHO situation report published on 30 March 2020 estimated that confirmed cases were almost 700 000, with more than 33 000 deaths.  Being that COVID-19 is a global threat, tackling the pandemic requires a global effort involving not only all countries, but also the scientific community at large, across all fields and disciplines.

This call invites the Control Community to contribute from different perspectives to the fight against COVID-19, including the development of appropriate theoretical foundations of epidemiology that may impact the response to future outbreaks of viral or bacterial infections. Several new data sets conveying either epidemiological or clinical information are being made available daily; however, fast data integration at different levels is needed. Modeling and control insight can be crucial to explain and predict the complex dynamics of the disease evolution, and to devise the best strategies to contain the contagion and treat COVID-19 patients.

Our control community can contribute to the solution of several problems, using our technical tools.

Topics of interest include, but are not limited to, the following:

  • COVID-19 transmission networks for the different affected countries.
  • Social networks, social interactions and their effect in the COVID-19 pandemic.
  • Control strategies on complex networks to mitigate and prevent the spread of the infection.
  • Nonlinear observers and parameter estimation to predict a global situation from data-driven models of the pandemic.
  • In-host models, representing the interactions between the virus and the immune system, to be used as computational tools to evaluate new therapies.
  • Control of ventilators in intensive care patients, as well as fast industrial development of ventilators.

Paper Submission

All manuscripts will be peer-reviewed before their acceptance for publication.

The deadline for manuscript submission is June 30th, 2020.

Guest Editors:

Esteban A. Hernandez-Vargas

Institute of Mathematics, UNAM, Mexico & Frankfurt Institute for Advanced Studies, Germany

Giulia Giordano

University of Trento, Italy

Eduardo Sontag

Northeastern University, USA

Geoff Chase

University of Canterbury, New Zealand

Victor M. Preciado

University of Pennsylvania, USA

Hyeygjeon Chang

College of Engineering Kookmin University, South Korea

Alessandro Astolfi

Imperial College London, UK

Contact: Esteban Abelardo Hernandez Vargas