PUBLICATIONS

Embedded Systems From Source

Aerodock

Ongoing Research

I am currently engaged in research at the intersection of aerial robotics and computer vision. My ongoing work includes drafting a survey paper on UAV vision reliability, focusing on how environmental factors, hardware limitations, and algorithmic constraints impact the robustness of aerial perception systems. In parallel, I am exploring the problem of semantic segmentation under lens flares, investigating methods to improve the resilience of vision models when subjected to challenging real-world lighting artifacts.

“Embedded Systems from Source” is a guided open-source course hosted on GitHub that introduces learners to the fundamentals of embedded systems programming using the STM32 Discovery board. The course walks through practical, experiment-driven modules covering interrupts, UART, SPI, I2C, ADC, and other core microcontroller peripherals. Designed as a hands-on learning resource, it emphasizes building understanding from first principles while providing working code examples and explanations for each subsystem.

I co-authored and published “Aerodock” in the IOP Conference Series. The paper proposed a wireless charging system for UAVs, aimed at extending operational endurance by eliminating the downtime associated with manual battery swaps. The work detailed the design and feasibility of an inductive power transfer mechanism, considerations for alignment and efficiency, and potential integration into drone docking stations for autonomous recharging in field deployments.

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