Projects
A selection of projects across research, applied machine learning, scientific computing, and technical tooling. Rather than listing everything, I prefer to highlight projects that reflect different parts of my profile: adaptive learning systems, sensing, scientific software, and computational modeling.
Featured projects
Human Activity Recognition with mmWave Radar
A project on activity recognition from mmWave radar data, combining sensing, signal processing, and machine learning on motion measurements collected across multiple subjects and environments.
It reflects my interest in intelligent systems that connect data acquisition, representation, and real-world experimental settings.
Small-Footprint Keyword Spotting
A compact audio classification pipeline for keyword spotting based on convolutional neural networks, designed with lightweight inference and constrained deployment scenarios in mind.
This project represents my broader interest in efficient machine learning systems and practical model design.
Lab Workflow Automation
A lightweight automation project built to support everyday workflows, coordination, and small infrastructure tasks in a shared research environment.
Beyond model development, I am also interested in building tools that make technical work easier to organize and maintain.
Additional projects
code128-net
Deep learning for localization of Code128 finder patterns from normalized one-dimensional signals, developed in an applied industrial setting.
Spiking Neural Network Experiments
Experimental work on spiking neural networks, with attention to STDP, reward-modulated learning, and neuromorphic computation.
Cosmic Rays Live Dashboard
A real-time dashboard-oriented project for monitoring and publishing data from a particle physics detector.
Volatility Carry Modeling
A project on modeling implied volatility through multi-factor statistical approaches, reflecting part of my background in quantitative analysis.
Binary Black Hole Delay-Time Modeling
Computational work on delay-time distributions and related modeling questions in binary black hole systems.
Vehicular Network Dynamics
A project on vehicular networks exploring communication, coordination, and system-level behavior in distributed settings.
C++ Particle Reconstruction
Scientific computing work in C++ focused on particle reconstruction and data-processing pipelines.
Information Bottleneck Explorations
Experiments and computational explorations related to the information bottleneck perspective in machine learning.
Perspective
Across these projects, recurring themes include adaptive computation, efficient learning systems, sensing and data-driven modeling, scientific software, and machine learning under practical constraints.