News

News & updates.

A running log of awards, hires, talks, and notable papers.

2026

  1. Sep 2026

    Attention by Synchronization published in TMLR

    The oscillator-attention paper with Taosha Guo is out in Transactions on Machine Learning Research.

  2. Aug 2026

    Provably Safe Generative Sampling published in TMLR with J2C certification

    Darshan Gadginmath and Ahmed Allibhoy's paper on constricting barrier functions is out in Transactions on Machine Learning Research, and received a J2C certification (top 10% of accepted papers).

  3. Jul 2026

    NSF award on control-theoretic foundations for trustworthy generative AI

    NSF CMMI supports work on making generative AI safe, coordinated, and reliable in safety-critical engineering systems. Runs October 2026 to September 2029.

  4. Jul 2026

    New preprint on learnable sequential memory in oscillator networks

    Taosha Guo's work on storing and recalling sequences in coupled oscillator networks is now on arXiv.

  5. Jun 2026

    Oscillator attention paper on arXiv, provisional patent filed

    Attention by Synchronization in Coupled Oscillator Networks, with Taosha Guo, is on arXiv and under review at TMLR.

  6. Jun 2026

    Constricting Tubes for Prescribed-Time Safe Control appears in L-CSS

    Darshan Gadginmath's paper is out in IEEE Control Systems Letters, and will also be presented at CDC 2026 in Hawaii this December.

  7. Mar 2026

    Darshan Gadginmath defends his Ph.D. thesis

    Unifying Generative Sampling and Data-Driven Control for Safe Autonomy. Darshan has joined Mitsubishi Electric Research Laboratories as a Research Scientist.

2025

  1. Dec 2025

    Three papers presented at CDC 2025, Rio

    Work on heterogeneous oscillator Ising machines, dynamics-aware diffusion models, and oscillatory associative memory.

  2. Aug 2025

    New collaboration on CDW oscillator networks

    Joint work with Alex Balandin's group at UCLA on charge-density-wave devices for transformer attention computation.

  3. Jul 2025

    Joined the EECS Department at UC Irvine

    Now directing the UCI Robotarium and recruiting students and postdocs in learning-based control, safe autonomy, and brain-inspired computing.

2024

  1. Jul 2024

    Ahmed Allibhoy joins the group as a postdoctoral researcher

    Ahmed's research focuses on optimization and dynamical systems.

  2. Mar 2024

    Neural-Sync MURI proposal selected for funding

    The MURI brings together synchronized-oscillations research across neural computing, communication, and adaptation.

2023

  1. Dec 2023

    Antonio Ruberti Young Researcher Prize

    Recipient of the 2023 IEEE CSS Antonio Ruberti Young Researcher Prize.

2021

  1. May 2021

    O. Hugo Schuck Best Paper Award

    For "Accuracy Prevents Robustness in Perception-based Control," American Control Conference 2020.

2020

  1. Dec 2020

    Roberto Tempo Best CDC Paper Award

    For "A Framework to Control Functional Connectivity in the Human Brain," CDC 2019, Nice.

  2. Dec 2020

    Control Systems Letters Outstanding Paper Award

    For "Data-driven Minimum-Energy Controls for Linear Systems," IEEE L-CSS 3(3), 2019.

2019

  1. Oct 2019

    AFOSR Young Investigator Research Award

    Award to support work on data-driven control of dynamical networks.

2017

  1. Sep 2017

    ARO Young Investigator Program Award

    Award to support work on the design and operation of secure multi-agent networks.