Rich Baird PhD(c) portrait

Rich Baird PhD(c)

Computational Imaging, Signal Processing, & Optics
PhD Candidate, Department of Electrical and Computer Engineering University of Utah National Defense Science and Engineering Graduate (NDSEG) Fellow

I develop end-to-end computational imaging systems that utilize the properties of light to capture information from the microscopic to the interplanetary. By engineering both the optical encoding and the underlying numerical and machine learning algorithms, I enable high-fidelity data recovery for diverse scientific applications.
  • Computer Vision for Object Detection and Classification
  • Neuromorphic Hardware and Signal Processing
  • Numerical Statistics and Probabilities

News

March 2026

Paper “Asynchronous-spectral fusion fluorescence microscopy for microsecond-scale behavioral dynamics” submitted to Optics Letters for publication.

New Paper
August 2025

Awarded the National Defense Science and Engineering Graduate (NDSEG) Fellowship to continue research into space domain awareness utilizing high-speed neuromorphic hardware.

Award
May 2025

Invited to attend CLEO Conference in Long Beach California. I will be speaking on our ongoing research into neuromorphic imaging for high-speed multispectral fluoresence microscopy.

Conference
January 2025

Paper “Dynamic Spectral fluorescence microscopy via Event-based & CMOS image-sensor fusion” accepted for publication in Optics Express.

Paper

Research

Asynchronous-spectral fusion fluorescence microscopy for microsecond-scale behavioral dynamics thumbnail

Asynchronous-spectral fusion fluorescence microscopy for microsecond-scale behavioral dynamics

A demonstration of our novel event fusion architecture to the application of real-time biology.

Dynamic spectral fluorescence microscopy via event-based & CMOS image-sensor fusion thumbnail

Dynamic spectral fluorescence microscopy via event-based & CMOS image-sensor fusion

A novel widefield fluoresence microscope architecture fusing events from a neuromorphic image sensor with intensity images from a traditional image sensor to image real-time spectrally classified dynamic motion.

HAMscope: a snapshot Hyperspectral Autofluorescence Miniscope for real-time molecular imaging thumbnail

HAMscope: a snapshot Hyperspectral Autofluorescence Miniscope for real-time molecular imaging

A compact, snapshot hyperspectral autofluorescence miniscope that enables real-time, label-free molecular imaging. (Co-Author)

Writing