GraphEx 2026

Symposium Overview

The symposium brings together leading experts from universities, industry, and government to explore the state of the art and define a future roadmap in complex systems and network science. The themes of this year’s symposium will explore the role of complex networks in artificial intelligence, with emphasis on the foundational technical challenges that arise in distributed systems. The event will be limited to a small group of invited attendees, in order to provide an interactive environment and promote strong interaction among the attendees.

The symposium will take place on Monday, April 13th – Tuesday, April 14th, 2026 at the MIT Endicott House.

Symposium Highlights

As part of the two-day technical program this year, topics of interest included:

  • Graph foundation models for relational data
  • Agentic AI, system of systems
  • Distributed systems
  • Edge computing
  • Complex systems design and optimization
  • Data sufficiency
  • Learning with partial, incomplete, and uncertain information
  • Operation and analysis in adversarial and contested environments
  • Collective and coordinated behavior
  • Multi-agent systems
  • Various applications including scaled autonomy, unmanned systems, distributed infrastructure, and sensing systems

Symposium Organizers

Chairs

Rajmonda Caceres | MIT Lincoln Laboratory

Dennis Ross | MIT Lincoln Laboratory

Sanjeev Mohindra | MIT Lincoln Laboratory

Technical Co-Chairs

Benjamin Miller | MIT Lincoln Laboratory

Ben Price | MIT Lincoln Laboratory

Edoardo Airoldi | Temple & Harvard University

Edward Kao | MIT Lincoln Laboratory

Lin Li | MIT Lincoln Laboratory

Technical Committee

Alexander Volfovsky | Duke University

Christopher Long | U.S. Department of Defense

Heidi Perry | MIT Lincoln Laboratory

Zachary Serlin | HavocAI

Johan Ugander | Yale University

Jordan Crouser | Kenyon College

Mitchell Black | MIT Lincoln Laboratory

Andrew Heier | MIT Lincoln Laboratory

Steven Smith | MIT Lincoln Laboratory

Mykel Kochenderfer | Stanford University

Giselle Zeno | MIT Lincoln Laboratory

Robert Bond | MIT Lincoln Laboratory