Alex B. Zongo

// about

I am a PhD candidate in the Department of Mechanical and Aerospace Engineering at The George Washington University, working under the supervision of Prof. Peng Wei in the Intelligent Aerospace Systems Lab (IASL).

I develop robust machine learning and optimization methods for sequential decision-making, with a focus on safe multi-agent reinforcement learning for aerospace systems. Applications include airspace management, advanced air mobility, and flight control. My broader interests include aircraft design and simulation, optimal transport, and mean field games.

I hold a strong academic background in mathematics, control science, engineering, AI, and aircraft design from institutions including Tsinghua University, Beijing University of Aeronautics and Astronautics, and National Cheng-Kung University.

Beyond my academic pursuits, I am committed to leadership development and community service, and I have a keen interest for music as a self-taught piano player.

For a comprehensive overview of my education, experience, and skills, visit my CV page.

// opportunities

Summer 2026: Visiting Researcher at UC Berkeley, CITRIS and the Banatao Institute, with Professor Alexandre Bayen.

For research collaborations in safe autonomy and aerospace systems, reach out by email.

// research interests

// research updates

• Robust MARL under GPS degradation and spoofing — accepted at CDC 2026; preprint and ACC workshop poster available.
• Runtime safety filtering under GNSS degradation — accepted at DASC 2026.
• LLMs for cooperative tactical deconfliction — published at the MEIS workshop at CVPR 2026.

// recent news