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Gregory Koumbis

Rigel Science & Technology LLC

Chief Applied Scientist/Systems Engineer

4445 Corporation Lane

Suite 200

Virginia Beach, VA 23462

United States

SCHOLARLY PAPERS

2

DOWNLOADS

85

TOTAL CITATIONS

0

Ideas:
“  Research Interests: - Conducting independent research in multi-agent systems and AI agents for path planning, task collaboration, and execution, specifically for Unmanned Underwater Vehicles (UUVs) and Unmanned Aerial Vehicles (UAVs), both operating independently and in swarms. - Engaged in research on the design of a prototype electromagnetic lunar rail system capable of launching payloads into lunar orbit. -Experimenting with deep learning neural networks and generative artificial intelligence to address open questions in science & engineering.  ”

Scholarly Papers (2)

1.

Machine and Deep Learning Strategies for the Classification of Potentially Habitable Exoplanets

Number of pages: 17 Posted: 21 Jan 2026
Gregory Koumbis and Nick Harkiolakis
Rigel Science & Technology LLC and New England College
Downloads 49 (1,222,651)

Abstract:

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AI, Machine Learning, Deep Learning, Computational Astrophysics, Astronomy, Habitable Exoplanets, Hyperparameter Optimization, Ensemble Learning

2.

Beyond Gas Giants: Sub-Neptunian Planets as Prime Hosts for Habitable Exomoons in a Machine Learning-Driven Conceptual Framework

Number of pages: 12 Posted: 26 Feb 2026
Gregory Koumbis
Rigel Science & Technology LLC
Downloads 36 (1,332,057)

Abstract:

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Exoplanets, Exomoons, Machine Learning, Deep Learning, Sub-Neptune