Ian Whitehouse

Computer Science PhD student focused on neuromorphic and unconventional computing

I am a student and researcher advised by William Regli and Wolfgang Losert. I work on unconventional computing substrates, including analog SAT solvers, neuromorphic algorithms, and living neuronal computers. I am interested in how computation emerges from continuous, nonlinear, and adaptive systems, and how this enables learning in regimes where deep learning is impractical.

Research Focus

I investigate non-traditional computational methods, such as Ising, living, and neuromorphic computers. Key themes include:

• Reservoir computing as a framework for computation using high-dimensional dynamical systems
• Biological reservoirs that bridge in-vitro and in-silico neural dynamics
• Establishing principled metrics for computational capacity in physical and biological reservoirs
• Concept drift and continual learning in time series, for systems that continuously adapt like the brain
• Informing the deployment of unconventional computing systems for national security priorities

Background

I am a PhD student in the University of Maryland Department of Computer Science, advised by William Regli and Wolfgang Losert. I am affiliated with the Losert Lab. I received my BS in Computer Science from American University, where I worked with Roberto Corizzo.

Previously, I interned at:

• The Army Research Lab, working with neuronal recordings
• Leidos, Inc., creating adversarial learning algorithms and synthetic data modeling for underwater acoustics
• Lockheed Martin, enhancing simulation capabilities for the radar of the E-2D Advanced Hawkeye aircraft

Publications, Presentations, and Resume

An updated list of my publications and preprints and the presentations I have given are available on their respective pages.

A PDF of my resume is available on the resume page.

Contact Information

Email: ianjw@umd.edu
LinkedIn: iwhitehouse
GitHub: ianjwhitehouse
Google Scholar: Ian Whitehouse

Outside the Lab

When I’m not building, I enjoy cycling both long and short distances, board games, and trying new restaurants in the DMV.