N. Skuda*, R. O’Loughlin, B. Oripov, N. Chongsiriwatana, I. Whitehouse, W. Losert, B. Hayes, A. McCaughan and S. Buckley, δ Multiplexed Gradient Descent: Perturbative Learning with Astrocytes, Atlanta, GA, IEEE Conference on Neuro-Inspired Computational Elements (NICE), 2026. Download
N. Chongsiriwatana*, I. Whitehouse, A. Emenheiser, S. Gates III, K. Perry, K. O’Neill and W. Losert, Information Propagation and Classification in Living Neural Networks, Denver, CO, American Physical Society Global Physics Summit, 2026. Download
I. Whitehouse*, N. Chongsiriwatana, H. Kang and W. Losert, Rhythmic Sharing: An Astrocyte-Inspired Algorithm for Robust Learning of Evolving Dynamical Systems with Applications in Anomaly Detection, Washington, DC: Joint Mathematics Meeting (JMM), 2026. Download
I. Whitehouse*, Hoony Kang and W. Losert, Emergent Detection of Concept Drift within the Glia-Inspired ‘Rhythmic Sharing’ Algorithm, San Diego, CA: 10th International Conference on Rebooting Computing (ICRC), 2025. Download
H. El Oirghi*, I. Whitehouse*, S. Miller, P. Lopata and W. Regli, What do AI practitioners need to know about Quantum AI?, College Park, MD, Quantum Biotechnology Conference, 2026. Download
I. Whitehouse*, N. Chongsiriwatana, R. O’Loughlin, B. Oripov, N. Skuda, W. Losert, B. Hayes, A. McCaughan and S. Buckley, From Astrocytes to Novel Algorithms: Multiplexed Gradient Descent and Rhythmic Sharing, Atlanta, GA, IEEE Conference on Neuro-Inspired Computational Elements (NICE), 2026. Download, Abstract, Citations
S. Sarkar*, A. Singh and I. Whitehouse*, Bridging In‑Vitro Neural Dynamics and Real‑World Applications: Experimental, Analytical, and Computational Approaches in Biocomputing, Aberdeen, MD: National Security Scholars Summer Internship Program, 2025. Download
I. Whitehouse* and G. Byrne, Adversarial Machine Learning Training for Signal-to-Noise Generalization in Passive Undersea Acoustics, San Diego, CA: Naval Applications of Machine Learning, 2024. Download
I. Whitehouse* and R. Corizzo, Gravitational Wave Detection with Novel Machine Learning Models, Washington, DC: American University College of Arts and Sciences, 2022. Download