Below is a selection of my academic publications and research outputs. You can explore the full list on my Google Scholar profile.
✅ To be presented at the Integrated Communications Navigation, and Surveillance (ICNS) Conference , 2026
This paper characterizes electric Vertical Take-off and Landing (eVTOL) aircraft energy consumption under an autonomous tactical conflict resolution framework (the Modified Voltage Potential or MVP) in an unstructured high-density airspace. 
⏳ Submitted to the Digital Avionics Systems Conference (DASC) 2026 , 2026
This paper is addresses realtime separation assurance and tactical deconfliction mechanisms of small Unmanned Aerial Systems via Multi-Agent Reinforcement Learning under GPS degradation and Spoofing.
✅ To be presented at The 3rd Workshop on Multi-Agent Embodied Intelligent Systems Meet Agentic-AI era: Opportunities, Challenges and Futures (MEIS@CVPR 2026) , 2026
This paper presents a simulation-to-language data generation pipeline using BlueSky ATM for fine-tuning Large Language Models on cooperative tactical deconfliction of small UAS, achieving improved decision accuracy and reduced near mid-air collisions through parameter-efficient fine-tuning (LoRA, GRPO). 
⏳ Submitted to the Control and Decision Conference (CDC) 2026 , 2026
This paper is addresses realtime separation assurance and tactical deconfliction mechanisms of small Unmanned Aerial Systems via Multi-Agent Reinforcement Learning under GPS degradation and Spoofing. 
🧠 Published in Scholarly blog post (Zenodo archived) , 2025
A conceptual overview of Air Traffic Control as a predictive, safety-critical control system.
Recommended citation: Zongo, A. (2025). "Aircraft Traffic Control: Managing Order in a Crowded Sky." Scholarly blog post. Available at: https://alex-zongo.github.io/posts/2025/12/aircraft-traffic-control/.
🧠 Published in Lecture Notes in Electrical Engineering, Springer Nature, International Conference in Navigation Guidance and Control (ICGNC) , 2024
This paper was submitted as part of my master thesis. It delves into the use of Reinforcement Learning to enhance fault-tolerance in fixed-wing aircraft attitude flight control. 
Recommended citation: Zongo, A.B., Qing, L. (2025). "Towards Intelligent Fault-Tolerant Attitude Control of Fixed-Wing Aircraft." In: Yan, L., Duan, H., Deng, Y. (eds).Advances in Guidance, Navigation and Control. ICGNC 2024. Lecture Notes in Electrical Engineering, vol 1353. Springer, Singapore.
DOI | Preprint | Slides | Bibtex