Paper “Asynchronous-spectral fusion fluorescence microscopy for microsecond-scale behavioral dynamics” submitted to Optics Letters for publication.
Rich Baird PhD(c)
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
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