Post-Doctoral Research Scholar
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Vanderbilt University
Research Interests
My research focuses on developing safe and efficient autonomous systems for Advanced Air Mobility (AAM). Specifically, I work on real-time trajectory planning frameworks for dense urban airspace, battery prognostics and energy management using Neural ODEs for eVTOL aircraft, and scalable safety verification systems for heterogeneous AAM operations. My approach combines machine learning with aerospace engineering to create practical solutions for urban air transportation challenges, with applications in NASA-funded projects for system-wide safety management.
News
Paper accepted to AIAA SciTech 2025 – "Energy-Aware Strategic Traffic Management for Urban Air Mobility" accepted for presentation.
Read paper →Journal paper published in AIAA JAIS – "Safe and Scalable Real-Time Trajectory Planning Framework for Urban Air Mobility" published.
Presented at AIAA Aviation 2024 – Presented research on Energy Demand Analysis for eVTOL Charging Stations in Urban Air Mobility.
NASA System-Wide Safety Project – Started as Technical Thrust Lead on $2.5M NASA-funded project for AAM safety systems.
View project →Best Paper Award – Received Best Paper Award at AIAA Aviation 2023 conference.
Research Fellowship – Awarded prestigious research fellowship for AAM safety systems.
Details →Conference Presentation – Presented at International Conference on Autonomous Systems.
New Research Grant – Secured funding for advanced trajectory planning research.
Workshop Organization – Organized workshop on Urban Air Mobility at IEEE Conference.
PhD Defense – Successfully defended PhD dissertation on Autonomous Systems for AAM.
Dissertation →Presentations & Videos
AIAA Aviation 2024 Presentation
Energy Demand Analysis for eVTOL Charging Stations
Research Overview Presentation
Trajectory planning and battery prognostics research
AAM Safety Systems Overview
NASA-funded project overview
Trajectory Planning Demo
Real-time planning framework demonstration