| Jan 31, 2026 | Conference acceptance: “Coverage Path Planning for Holonomic UAVs via Uniaxial-Feasible, Gap-Severity Guided Decomposition” was accepted to ICRA 2026. See you in Vienna, Austria! 🎉 |
| Jan 05, 2026 | Conference acceptance: “Cognition Envelopes for Bounded AI Reasoning in Autonomous UAS Operations” was accepted to IEEE/ACM CAIN in Rio de Janeiro, Brazil 🇧🇷 |
| Jul 02, 2025 | Preprint update: “Cognitive Guardrails for Open-World Decision Making in Autonomous Drone Swarms” is now available on arXiv. |
| May 28, 2025 | Journal acceptance: “Multi-source Plume Tracing via Multi-agent Reinforcement Learning under Common UAV-faults” was accepted to Machine Learning with Applications (MLWA) 🧪 |
| Apr 03, 2025 | Conference acceptance: “Validating Terrain Models in Digital Twins for Trustworthy sUAS Operations” was accepted to ACM/IEEE MODELS-C 2025. |
| Mar 06, 2025 | Conference acceptance: “Evaluating Reinforcement Learning Safety and Trustworthiness in Cyber-Physical Systems” was accepted to IEEE/ACM CAIN 2025. |
| Feb 14, 2025 | Conference acceptance: “QUESTRL: A Q&A Framework for Designing Trustworthy Reinforcement Learning Systems” was accepted to IEEE RE 2025 🤖 |
| Dec 09, 2024 | Conference acceptance: “Automated On-Entry Decision-Making for UTM Zones Based on Reputations and Certifications” was accepted to AIAA AVIATION FORUM AND ASCEND 2025. |
| Apr 05, 2024 | Workshop acceptance: “An Environmentally Complex Requirement for Safe Separation Distance Between UAVs” was accepted to IEEE REW 2024 (ENVIRE) 🌍 |
| Mar 27, 2023 | Project milestone: Notre Dame was selected for a NASA University Leadership Initiative (ULI) award. Led by my advisor, Prof. Jane Cleland-Huang, the multi-university SADE effort is a multi-million, multi-year collaboration advancing safe, transparent sUAS authorization for controlled airspace. |
| Feb 20, 2023 | Conference acceptance: “Towards an Annotated All-Weather Dataset of Flight Logs for Small Uncrewed Aerial System” was accepted to AIAA AVIATION 2023 ✈️ |
| Jul 01, 2022 | Conference acceptance: “RESAM: Requirements Elicitation and Specification for Deep-Learning Anomaly Models with Applications to UAV Flight Controllers” was accepted to the 30th IEEE International Requirements Engineering Conference (RE 2022). |