Dependable, learning-enabled networked systems

Designing connected systems for mission performance.

I am Mohammadreza (Reza) Barzegaran, a research scholar in the Nhu Department of Electrical Engineering and Computer Science at the University of California, Irvine. I study networked autonomous systems that are subject to operational and systems constraints.

My work co-designs communication, computation, control, and decision making under the umbrella of physical AI.

Portrait of Reza Barzegaran
Mohammadreza (Reza) Barzegaran

Research agenda

Research thrusts

Across these areas, I make the mission outcome an explicit design objective and test guarantees on real systems.

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01

Certified estimation and deployment

Design links, rates, and mobile sensor positions around total estimation error.

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02

The aerial edge

Certify timely data delivery as UAV and rover formations change.

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03

Learning over imperfect networks

Understand how stale and noisy state estimates affect distributed learning and control.

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Selected publications

Recent work

A few papers that show the range of current projects.

Recent publications →
  1. 2026

    Dynamic Deployment of Heterogeneous Wireless Sensor Drone Networks with Limited Communication Range

    M. Barzegaran and H. Jafarkhani · IEEE Transactions on Vehicular Technology

  2. 2025

    Multi-UAV Energy-Efficient Wildfire Coverage Optimization

    C. Diaz-Vilor, M. Barzegaran, and H. Jafarkhani · IEEE Transactions on Wireless Communications

  3. 2025

    Toward an Optimized Multi-Cyclic Queuing and Forwarding in Time-Sensitive Networking with Time Injection

    R. Debnath, M. Barzegaran, and S. Steinhorst · IEEE Internet of Things Journal