Abhish Khanal

Graduate Research Assistant

Virginia, United States
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Summary

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Senior
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Top School
Abhish Khanal is a CS PhD candidate and Graduate Research Assistant at George Mason University with nine years of hands-on experience in robotics, embedded systems, and sequential decision-making under uncertainty. His research focuses on planning under uncertainty, POMDPs, and multi-agent systems, while his industry work includes developing MAVLink Python APIs, custom ArduPilot flight modes, and simulation of fixed-wing vehicles in Gazebo/ROS. He has a strong embedded background from building life-impacting devices like a neonatal baby warmer and delivery-drone hardware, and taught courses from low-level programming to machine learning. Comfortable bridging research and productization, he combines rigorous algorithmic thinking with practical systems engineering and field-deployable solutions.
code9 years of coding experience
job3 years of employment as a software developer
bookBachelor's degree, Electronics and Communication Engineering, Bachelor's degree, Electronics and Communication Engineering at Institute Of Engineering, Pulchowk Campus,Nepal
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at George Mason University
languagesNepali, English, Hindi
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Github Skills (50)

robotics10
autopilot10
mavlink10
plane10
rover10
responsive10
github-pages10
jekyll10
jekyll-theme10
arduino10
ros10
px49
dronekit9
spectrum6
audio-effect5

Programming languages (7)

C++ShellMakefileHTMLJupyter NotebookRubyPython

Github contributions (5)

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aabs7/pymavlink_tutorial

Aug 2020 - Jan 2021

Contributions:28 commits, 16 pushes, 1 branch in 5 months
Contributions:6 pushes, 1 branch in 1 year 1 month
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Abhish Khanal - Graduate Research Assistant