Track 5 – AI/ML for Communication and Networking (MILCOM 2025)

Oct 6, 2025·
Brian Jalaian, Ph.D.
Brian Jalaian, Ph.D.
· 2 min read
Logo: IEEE MILCOM 2025 Track 5
Date
Oct 6, 2025 12:00 AM — Oct 10, 2025 11:59 PM
Event
Location

Los Angeles Airport Marriott (near LAX), Los Angeles, CA, United States

Track 5 – AI/ML for Communication and Networking

📌 Co‑Track Chairs

  • Ananthram Swami (Army Research Laboratory)
  • Brian Jalaian (University of West Florida)

I am honored to serve as Co‑Track Chair for Track 5: AI/ML for Communication and Networking within the Unclassified Technical Program of IEEE MILCOM 2025.

About This Track

Track 5 explores cutting‑edge research at the intersection of artificial intelligence and military communications, focusing on techniques and applications such as: IEEE Military Communications Conference

  • ML for channel estimation, decoding, and interference mitigation
  • AI/ML for resource and network optimization
  • Agentic AI at the edge and distributed/federated learning
  • Adversarial AI/ML and secure AI over communication networks
  • Generative AI for synthetic data generation; domain generalization
  • Explainable AI; Large Language Models (LLMs) in networking

Important Dates (Unclassified Program)

  • Submission Deadline (Firm): 1 June 2025
  • Acceptance Notification: 8 August 2025
  • Camera‑Ready Deadline: 25 August 2025

Why Participate?

  • Present original research in AI/ML for communications to a leading defense-focused audience
  • Publication in IEEE Xplore via the unclassified technical program
  • Networking with peers, experts, and government/industry stakeholders

Submission Guidelines

Authors should follow IEEE formatting templates, abide by page limits (max 6 pages, with up to 2 additional pages for fees), and avoid headers, footers, or page numbers per MILCOM instructions.


Organizer’s Note

As Co‑Track Chair of Track 5 at MILCOM 2025, I will actively oversee the review process and help shape the technical program in support of the conference theme “Pioneering the Future of Space and Terrestrial Networks.”

Looking forward to shaping a compelling and impactful program together!

Brian Jalaian, Ph.D.
Authors
Associate Professor
Dr. Brian Jalaian is an Associate Professor at the University of West Florida and a Research Scientist at IHMC, where he leads cutting-edge work at the intersection of machine learning, AI assurance, and systems optimization. His research spans large language models (LLMs), AI model compression for edge deployment, uncertainty quantification, agentic and neurosymbolic AI, and trustworthy AI in medicine and defense. Formerly a senior AI scientist at the U.S. Army Research Lab and the DoD’s JAIC, Brian has shaped national efforts in robust, resilient, and testable AI. He’s passionate about building intelligent systems that are not only powerful—but provably reliable. When he’s not optimizing AI at scale, he’s mentoring the next generation of ML engineers or pushing the boundaries of agentic reasoning.