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Tom Lash
Tom Lash

Tom Lash

Chief Executive Officer
Vibrant
Bio

Tom Lash is a recognized leader in the Intelligence technology sector with a 30-year career deeply rooted in serving the national security mission. An engineer by training who holds a patent in intelligent database technology, Tom’s extensive experience building technology-focused teams that design and deploy innovative Intelligence Systems, together with his inclusive, entrepreneurial management style, make him a dynamic and collaborative leader.

As Chief Executive Officer, Tom is responsible for guiding and growing Vibrint. He heads Vibrint’s Executive Leadership Team, actively supports customer solution and innovation development, and propels the expansion of technology partnerships. Previously, Tom created and led the federal division of AWS and held executive roles leading technology and IC work at SAIC and Leidos.

He serves on the U.S. Geospatial Intelligence Foundation Advisory Committee and the Intelligence and National Security Alliance Advisory Committee. A frequently sought-after industry speaker and adjunct lecturer at Georgetown University, Tom holds a Bachelor of Science in Electrical Engineering from the University of Virginia, a Master of Science in Electrical and Computer Engineering from George Mason University, and a Master of Business Administration from Johns Hopkins University.


Image Processing and Matching Enhanced by Game Theory and Quantum Computing

Recent advancements in quantum game theory, driven by the capabilities of noisy intermediate-scale quantum (NISQ) computers, have opened new avenues for practical, near-term applications. This project explores integrating quantum game theory into quantum image processing, focusing on enhancing the Scale Invariant Feature Transformation (SIFT) algorithm for image matching. Preliminary findings suggest that quantum approaches could improve the extrema detection phase of SIFT, a key statistical classification step. This presentation describes how game theory techniques can optimize SIFT on classical and quantum systems while developing a roadmap for incorporating these methods into broader quantum image processing frameworks. I will complete the presentation with a forecast of when scaling from advancements in quantum computers will surpass digital computers for image processing applications.

Professional / Leadership