Arsyi Aziz is a Computer Science PhD candidate and Graduate Research Assistant at The George Washington University with eight years of experience focused on constrained multi-agent reinforcement learning applied to emerging aviation technologies like urban air mobility and autonomous air traffic control. Based in Washington, DC, he conducts research in the Intelligent Aerospace Systems Lab, bringing rigorous academic training—perfect GPAs from GWU and Penn State exchange and a near-perfect undergraduate record from Universitas Hasanuddin—to complex, safety-critical autonomy problems. His work bridges theoretical RL constraints and practical aerospace systems, positioning him to translate multi-agent coordination research into operational airspace solutions. Colleagues can expect a methodical researcher who pairs strong quantitative foundations with domain-focused engineering aimed at deploying scalable, verifiable autonomy in aviation contexts.
8 years of coding experience
Bachelor of Computer Science - S.Kom, Information Systems, 3.98/4.0, Bachelor of Computer Science - S.Kom, Information Systems, 3.98/4.0 at Universitas Hasanuddin (Unhas)
Non degree, Exchange, 4.0/4.0, Non degree, Exchange, 4.0/4.0 at Penn State University
Doctor of Philosophy - PhD, Computer Science, 4.0/4.0, Doctor of Philosophy - PhD, Computer Science, 4.0/4.0 at The George Washington University
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