Writing
Papers and surveys I wrote on my own, rather than as part of a team. They cover the questions I kept running into in the lab work — where inference should actually run, how a radio link fails, what a power budget really costs — and they are the clearest record of how I think about a problem before there is any hardware to point at.
Gaussian Splatting for UAV Perception
A research proposal and technical survey on 3D Gaussian splatting as a UAV perception representation, with a benchmark design for safety fidelity and on-board cost.
Read →02Comparing Speech-to-Text across Cloud, Edge and Local Deployments
Benchmarking Silero and Whisper against Azure and Google Cloud speech services, to find out where a low-latency drone command channel should actually run.
Read →03Approximate Computing: Trading Accuracy for Efficiency
Why deliberately computing the wrong answer is a legitimate design strategy once the thermal dissipation barrier, not transistor count, is the binding constraint.
Read →04Neuromorphic Computing: Hardware, Software and Research Directions
A survey of brain-inspired architectures — where the hardware has delivered, where the software stack has not, and what the ethical questions actually are.
Read →05FPGA Power Consumption Benchmarking
Measuring where power actually goes in an FPGA fabric built from LUT-and-flip-flop logic elements, rather than trusting the vendor estimate.
Read →06Analyzing the Resilience of UAV Communication Systems
How UAV control links degrade under interference and EMI, and a machine-learning approach to testing noise tolerance systematically instead of anecdotally.
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