University at Albany Scientific UAP Analysis Initiative

Background

For decades, serious UFO/UAP research has operated outside mainstream scientific institutions, relying heavily on eyewitness testimony, anecdotal evidence, and uncontrolled observations. In June 2025, a team led by Associate Professor Matthew M. Szydagis at the University at Albany (SUNY) broke this pattern by publishing a rigorous, peer-reviewed scientific framework in Progress in Aerospace Sciences (June 2, 2025)—demonstrating that systematic analysis of UAP could meet academic standards for physics and engineering research.

Methodology

The team conducted a 2021 California field expedition using a multi-instrument approach designed to replicate protocols from dark matter detection and particle physics:

• Observable-light and infrared imaging cameras for visual documentation
• National Weather Service Doppler radar data (first mainstream use of weather radar for UAP corroboration)
• Cosmic Watch radiation detectors to check for ionizing radiation signatures
• Coincidence timing analysis across detectors to verify simultaneous recordings and eliminate instrumental artifacts

This framework shifted investigation from subjective accounts to objective, reproducible measurement—a foundational principle in science.

Custom Target Analysis Protocol (C-TAP)

Szydagis developed C-TAP, an AI-assisted software system performing pixel-by-pixel analysis of successive camera frames to study differences and distinguish actual observations from digital noise, similar to techniques used in dark matter searches. The system combined artificial intelligence with human verification, ensuring no result was accepted without expert review. This hybrid approach avoided both unchecked automation and pure manual analysis bias.

Findings

The team documented multiple anomalies and systematically explained all but one:

• Identified instrumental artifacts, optical effects, and environmental phenomena
• Found unexplained "bright white dots within a dark spot" appearing in multiple videos
• Concluded: "no evidence indicating that UAP have anything to do with non-human intelligence"

Crucially, the team did not dismiss unexplained observations—they categorized them rigorously, establishing a foundation for future investigation.

Significance

This work represented a watershed moment: the first time a major U.S. research university published a systematic, peer-reviewed scientific methodology for UAP analysis in a top-tier aerospace journal. It demonstrated that UAP could be studied as a legitimate scientific phenomenon without requiring commitment to any particular explanatory hypothesis. The approach created a template for academic research institutes to engage seriously with UAP without risking institutional credibility—a barrier that had previously limited mainstream scientific participation.