Kyriakos G. Vamvoudakis, Ph.D.
Contact
Mail:
The Daniel Guggenheim School of Aerospace Engineering, Montgomery Knight Building, Office 415-B
Georgia Institute of Technology, 270 Ferst Drive, NW, Atlanta, GA 30332-0150, USA E-mail: kyriakos at
gatech.edu Telephone: +1 (404)-385-3342 Fax: +1 (404)-894-2760
Reseach Interests
Dr. Vamvoudakis' research is multi-disciplinary
and draws from the areas of control theory, game
theory, cyber-physical systems, safe autonomy, and reinforcement learning. Interactions
between self-interested agents along with learning-inspired
approaches, are used to design and develop resilient control system
algorithms with guaranteed performance, robustness, and stability where
traditional techniques are unable to provide any solutions.
Selected News
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Dr. Vamvoudakis has been elected as an Associate Fellow of AIAA - Class of 2024 in recognition of his notable and valuable contributions to the arts, sciences, or technology of aeronautics or astronautics with the citation “For Significant Contributions to Learning-based Control and Security of Aerospace Vehicles.”
Recognition as an AIAA Associate Fellow. (Photo by David Becker/AIAA)
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Dr. Vamvoudakis received a 2021 GT Chapter Sigma Xi Young Faculty Award (for innovation that leads to improvements in research methods and programs at Georgia Tech, as evidenced by publications, program development results, and other research contributions) for his work.
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Dr. Vamvoudakis received a 2019 Army Research Office (ARO) YIP award (ARO's most prestigious award in support of early-career faculty) for his work on “Non-Equilibrium Game-Theoretic Learning Techniques For Mitigating Adversaries in Complex Adaptive Systems (CAS).”
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Dr. Vamvoudakis has been elected on August 2019, to the grade of Senior Member of AIAA in recognition of his demonstrated successful professional practice in the arts, sciences, and technology of aeronautics.
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Paper on “Optimal and Autonomous Control Using Reinforcement Learning: A Survey,”
is listed as a 2018 Publication Spotlight of the
IEEE Computational Intelligence Society.
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Dr. Vamvoudakis received a 2018 NSF CAREER award (NSF's most prestigious award in support of early-career faculty) for his work on “Intermittent Learning Framework for Smart and Efficient Cyber-Physical Autonomy.”
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Dr. Vamvoudakis received a 2018 Department of Defense (DoD) Minerva Research Initiative award (emphasizes questions of strategic importance to U.S. national security policy) for his work on “Data-Driven Learning Techniques for Cyber-Physical-Situation Awareness in Defense Systems.”
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Dr. Vamvoudakis was awarded the International Neural Network Society (INNS) 2016 Young Investigator Award with the citation “For Significant Early Career Contributions in the Field of Reinforcement Learning and Intelligent Control.”
From left: Dr. K. G. Vamvoudakis of Georgia Tech, Dr. A. Minai, President INNS.
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Dr. Vamvoudakis was named CCDC Researcher of the Spring Quarter 2017.
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Dr. Vamvoudakis has been elected on November 2015, to the grade of Senior Member of IEEE in recognition of his professional standing.
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Dr. Vamvoudakis was awarded U.S. Patent rights (along with F. L. Lewis and D. Vrabie) on July 2015, for his invention titled “Optimal Online Adaptive Controller” (US Patent Number 9,134,707). Please see the public releases at eurekalert.org, phys.org, techradar.com, endadget.com, msn.com, engineersaustralia.org.au, theshorthorn.com and humanoids.io.
Dr. Vamvoudakis received the Best Paper Award at the 2010 Army Science Conference with the citation “Award-Winning Research Keeps Soldiers Safe, Effective”.
From left: Dr. M. Freeman, Deputy Assistant Secretary of the Army (Research and Technology), Dr. K. G. Vamvoudakis of Georgia Tech, TARDEC Engineer D. Mikulski, TARDEC Engineer Dr. G. Hudas and U.S. Army Chief Scientist Dr. S. Fish. (U.S. Army TARDEC photo by C. Williams.)
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