Integrity-aware estimation
Quantify when navigation and state estimates remain trustworthy under degraded GNSS, sensor faults, and model mismatch.
Input: State + uncertaintySafety-critical intelligent flight systems
My research goal is to develop AAM aircraft that can reason about navigation integrity, environmental uncertainty, energy limits, and evolving vehicle health—then select a safe, feasible action in real time.
Estimate uncertainty → preserve constraints → monitor assurance → choose the safest feasible action.
Research thesis
An autonomous aircraft should not only complete a mission. It should know when its estimates are trustworthy, how much risk and energy remain, and which safe action is still feasible.
01 / Research agenda
The long-term direction
I am interested in connecting four tightly coupled capabilities so that an AAM aircraft can remain predictable and useful when sensing, dynamics, environment, energy, or hardware depart from nominal assumptions.
Quantify when navigation and state estimates remain trustworthy under degraded GNSS, sensor faults, and model mismatch.
Input: State + uncertaintyPlan trajectories that balance mission progress, obstacle and weather risk, energy reserve, and feasible diversion options.
Input: Risk + energy marginsMaintain constraint-aware flight performance through nonlinear dynamics, gusts, payload motion, and uncertain disturbances.
Input: Dynamics + constraintsUse vehicle-health indicators and runtime assurance to decide when to continue, replan, degrade, divert, or land safely.
Input: Health + safe actionPreferred validation path
My current UAS work is progressing from PX4 simulation toward hardware-in-the-loop and experimental flight validation.
02 / Research trajectory
Evidence → questions
What I bring now
What I aim to investigate
03 / Selected work
Research grounded in real systems
Designed and conducted experiments with a Pixhawk 4-controlled S500 quadrotor and suspended payload to characterize oscillatory behavior across flight phases.
Co-leading system definition for logistics, medical delivery, and search-and-rescue; guiding seven engineering students across architecture, prototyping, and risk-based testing.
Developed and field-tested a crop-monitoring workflow integrating RGB and thermal sensing, photogrammetry, and geospatial analysis in Nawalparasi East, Nepal.
Led UAV mission planning, aerial data collection, photogrammetric reconstruction, and GIS analysis for a rooftop-area assessment in Kathmandu.
04 / Technical foundation
Current capabilities
Pixhawk 4, PX4 SITL, Gazebo, QGroundControl, UAV mission planning, flight experimentation
Python, MATLAB, C, Linux, Git, numerical modelling, data analysis, scientific computing
GNSS fundamentals, IMU/autopilot integration, RGB and thermal imaging, photogrammetry
Aircraft maintenance, internal audit, root-cause analysis, corrective actions, safety-risk assessment
Current development boundary ROS 2 integration is under active development; machine-learning experience is foundational and supported by the 128-hour Neuromatch Academy Interactive Deep Learning track.
05 / Publications
Selected research outputs
Bhattarai, B., Rimal, B., Karki, A., & Bhattarai, S. Proceedings of VETOMAC 2022, Vol. 17.
Acharya, S., Bhattarai, B., et al. International Journal for Research in Applied Science & Engineering Technology, 9(II), 125-133.
Acharya, S., et al., Bhattarai, B. International Research Journal of Modernization in Engineering Technology and Science, 3(1), 1202-1211.
Acharya, S., et al., Bhattarai, B. International Journal of Creative Research Thoughts, 9(2), 299-306.
06 / Updates
Current work and direction
Current development
01Building from PX4 SITL, Gazebo, and QGroundControl toward a reproducible ROS 2 integration and hardware-in-the-loop validation workflow.
2025–present
02Co-leading system definition and guiding a seven-student engineering team across modular airframe, avionics, control, and risk-based validation decisions.
Research direction
03Developing a focused research agenda that links navigation integrity, energy- and risk-aware planning, robust control, and fault-responsive contingency decisions.
07 / Aviation experience
Dec 2018-present
At Nepal Airlines Corporation, I have progressed through aircraft maintenance, maintenance-support leadership, and quality assurance—experience that grounds my interest in certifiable and health-aware autonomy.
Mar 2023-present
Nepal Airlines Corporation
Conduct risk-based audits, surveillance, and inspections of maintenance and continuing-airworthiness activities; investigate findings through root-cause analysis and monitor corrective and preventive actions.
Dec 2020-Mar 2023
Nepal Airlines Corporation
Led a ten-person technical team responsible for scheduled and unscheduled maintenance of aircraft-support equipment, maintenance planning, inspection checklists, job orders, and equipment records.
Dec 2018-Dec 2020
Nepal Airlines Corporation
Supported inspections, scheduled maintenance, component replacement, documentation, and conformity checks on DHC-6 Twin Otter, Airbus A320, and A330 aircraft.
08 / Let’s connect
I am seeking PhD research opportunities in aerospace engineering focused on intelligent control, autonomy assurance, and resilient systems for Advanced Air Mobility.