Alex B. Zongo
// aerospace · autonomy · ai
Alex B. Zongo
PhD · GWU · IASL
> safe multi-agent RL for aerospace systems
I build robust machine learning and reinforcement learning algorithms for the airspace of tomorrow, including separation assurance, advanced air mobility, and flight control.
// about
I am a PhD student in the Department of Mechanical and Aerospace Engineering at The George Washington University, working under the supervision of Prof. Wei Peng in the Intelligent Aerospace Systems Lab (IASL).
My research interests center around solving complex sequential decision making problems via robust Machine Learning (ML), Artificial Intelligence (AI) and optimization algorithms, with key applications in the aviation industry such airspace management and control, advanced air mobility, and flight control. Specifically, I focus on advancing safe multi-agent reinforcement learning (MARL) for aerospace systems. I am also interested in the design and simulation of aircraft, and the application of AI to aircraft design and control. Optimal Transport and Mean Field Games are also among my research interests.
I hold a strong academic background in control science, engineering, and aircraft design from institutions including Tsinghua University and Beijing University of Aeronautics and Astronautics.
Beyond my academic pursuits, I am committed to leadership development and community service, and I have a strong interest in music.
For a comprehensive overview of my education, experience, and skills, visit my CV page.
// opportunities
I am heading to University of California, Berkeley as a visiting researcher at the Center for Information Technology Research in the Interest of Society (CITRIS) and the Banatao Institute led by Professor Alexandre Bayen for summer-2026.
If you are interested to collaborate on some exciting projects, feel free to reach out by email.
// research interests
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