Writing
Papers and surveys I wrote on my own. They cover the questions I kept hitting in the lab work: where inference should actually run, how a radio link fails, what a power budget really costs.
A Numerical Modeling Study of Differentiation and Integration
Custom MATLAB implementations of derivative and quadrature methods, benchmarked against analytical results to show where each one actually breaks.
Read →02Gaussian Splatting for UAV Perception
A technical survey and research proposal on 3D Gaussian splatting as a UAV perception representation — with a benchmark designed around collision safety rather than image quality.
Read →03Comparing Speech-to-Text across Cloud, Edge and Local Deployments
Benchmarking Silero and Whisper against Azure and Google Cloud across six deployment configurations, to find out where a low-latency drone command channel should actually run.
Read →04Approximate Computing: Trading Accuracy for Efficiency
Why deliberately computing the wrong answer is a legitimate strategy once thermal dissipation, not transistor count, is the binding constraint — and where it is already shipping.
Read →05Neuromorphic Computing: Hardware, Software and Research Directions
A survey of brain-inspired architectures — Intel Loihi and spiking neural networks, the software stack they still need, and the ethical questions that come with them.
Read →06FPGA Power Consumption Benchmarking
Measuring real power draw across two FPGA development boards — a Nexys A7 and a DE0-Nano — instead of trusting the vendor estimate.
Read →07Analyzing the Resilience of UAV Communication Systems
How much noise a flight control system tolerates before operational integrity goes, and why machine learning is a better way to find that threshold than flying it and seeing.
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