Report an accessibility problem

Self-Organizing Particle Systems

Project: Network Algorithms and Distributed Optimization

 

We design and analyze approximation algorithms for NP-hard network optimization problems. These algorithms demonstrate the power of randomness for overcoming provably difficult tasks. Our theoretical results are supported by simulations to showcase their practicality. Recently, we have been investigating the application of reinforcement learning techniques to network optimization problems that include local restrictions.

Publications (2019 – Present)

Please find publications from prior to 2019 here.

Refereed Journal Papers

  • Coming soon!

Refereed Conference Proceedings

Other Publications

  • Coming soon!

Presentations

Invited Talks

  • Coming soon!

Conference Talks

Poster Presentations

  • Coming soon!

Other Presentations

  • Coming soon!

People

Current Team

Andréa W. Richa

Andréa W. Richa

PI / President's Professor, Arizona State University

[Website]
Matthias Rost

Matthias Rost

Professor, TU Berlin | Software Engineer, Observe

[website]

Jamison Weber

Jamison Weber

PhD Student, Arizona State University

[Website]
Chandra Chekuri

Chandra Chekuri

Professor, University of Illinois at Urbana-Champaign

[website]

Anya Chaturvedi

Anya Chaturvedi

Factory Automation Engineer, Intel

[Website]
Dhanush Giriyan

Dhanush Giriyan

Computer Science Undergraduate, Arizona State University

Save & Exit

Stefan Schmid

Stefan Schmid

Professor, University of Vienna

[website]

Past Members and Collaborators

Mengxue Liu

Mengxue Liu

PhD, Arizona State University 2018

[LinkedIn]

Funding