WiFi-Radar uses commodity WiFi routers to capture Channel State Information (CSI) data, which contains phase and amplitude information of WiFi signals. By analyzing how these signals reflect off human bodies, our system can detect human presence, estimate poses, and track movements - even through walls.

(NeurIPS 2025), Compact CNNs for EEG decoding: response time prediction and behavioral assessment using competition starter kit infrastructure with custom normalization and training strategies using the Healthy Brain Network (HBN) EEG dataset

This project demonstrates a comprehensive machine learning pipeline with examples of supervised, unsupervised, and semi-supervised learning approaches. It serves as a template and learning resource for ML practitioners.

A comprehensive industrial automation platform demonstrating integration between machine vision systems, industrial robots, PLCs, and quality control systems for modern manufacturing applications.

Brain-Forge is an advanced brain-computer interface system that combines cutting-edge neuroimaging technologies to create comprehensive brain scanning, mapping, and simulation capabilities. The platform integrates multi-modal sensor fusion, real-time data processing, and neural simulation to enable unprecedented understanding and modeling of brain

An AI-powered system for analyzing James Webb Space Telescope images to identify artificial structures, Dyson spheres, and objects that don't follow standard gravitational rules - potential indicators of intelligent extraterrestrial life.

A comprehensive Python-based machine learning platform for real-time seismic event detection, analysis, and classification. This system integrates with authoritative seismic data sources (USGS and IRIS) to provide intelligent earthquake monitoring and analysis capabilities.

Lightweight, extensible Brownian dynamics toolkit for nanoparticles and proto-nanorobotics NanoSimLab provides accessible tools for simulating and analyzing nanoparticle systems using Brownian dynamics, with a focus on nanorobotics research and development. The toolkit runs out-of-the-box with NumPy/SciPy and offers seamless integration.

A comprehensive geospatial analysis and visualization platform for Mars exploration data, integrating NASA's Mars datasets, USGS planetary data, and advanced AI/ML techniques for terrain analysis, landing site selection, and mission planning support.

This repository contains experimental quantum computing algorithms and simulations for cutting-edge research applications including medical genomics, cosmology, and quantum machine learning.

AdaAttn is a GPU-native attention mechanism that dynamically adapts both numerical precision and matrix rank at runtime, reducing memory bandwidth and computational overhead in large language models without sacrificing model quality. By aligning linear algebra operations with modern GPU hardware characteristics.

QuantumForge is an open-source framework that revolutionizes quantum chemistry calculations by combining the power of GPU acceleration, deep learning, and density functional theory. Built for researchers who demand both accuracy and performance.

GPU-Accelerated Brain Image Processing Pipeline for OpenNeuro Datasets

A Brain-Computer Interface (BCI) system that visualizes memory formation patterns in real-time, helping users optimize learning and recall through neurofeedback.

WACV 2026 RWS Challenge: Building object detectors that maintain consistent performance across seasons, weather patterns, and day-night cycles in thermal imagery.

A comprehensive, GPU-accelerated toolkit for integrating and visualizing large-scale fly brain imaging data in 3D, designed to democratize access to advanced brain mapping tools for fly brain researchers and neuroscientists worldwide.

bridging quantum computing and neural networks to unlock computational capabilities impossible with classical systems alone. Built for researchers, developers, and enterprises seeking quantum advantage in machine learning.

An intelligent research assistant powered by LangChain and Claude that helps neuroscience researchers query neural datasets, generate summaries, and plan experiments.

Open models and mission trades for laser ablation and laser-induced disruption of small bodies

A high-performance neural signal simulator with real-time GPU-accelerated visualization for neuroscience research and development.