Tightly coupled GNSS-Visual-Inertial system for locally smooth and globally consistent state estimation in complex environment.

A robust sensor fusion library for online localization.

Fatrop is a high performance nonlinear optimization solver for optimal control and robotics

Software repository for estimating human dynamics

DiTEC research

Robot payload estimation, based on: C. G. Atkeson, C. H. An, and J. M. Hollerbach, “Estimation of Inertial Parameters of Manipulator Loads and Links,” Int. J. Rob. Res., vol. 5, no. 3, pp. 101–119, Sep. 1986

C-library with implementation of the Induction Motor rotor speed anf flux estimators (observers)

This project implements the Time-Domain Back-Projection (TDBP) algorithm for Synthetic Aperture Radar (SAR) image reconstruction.

This project implements high-resolution radar image reconstruction using Time Domain Back Projection (TDBP) for UAV-based Synthetic Aperture Radar (SAR) data. It covers range and azimuth resolution analysis, speckle noise reduction, and trajectory error evaluation.

Code for "On the Semi-Blind Mutually Referenced Equalizers for MIMO Systems", APSIPA ASC, Taipei, Taiwan, Nov. 2023

RadEst is a repo for atmospheric parameters estimation using Optimal Estimation (PyOptimalEstimation) and onboard radiometer observations.

Quadrotor modeling, LQR control with integral action, nonlinear dynamics simulation, and EKF state estimation.

Neyman–Pearson Detector (NPD) for saccadic eye movements

Code/Examples for A New Approach to Robust Estimation of Parametric Structures

Develop a machine learning model using PPG signals to non-invasively estimate blood pressure changes in anesthetized patients during surgery. Exploring the potential of PPG-based devices for continuous patient monitoring. collaborate with:

An implementation of an Unscented Kalman Filter (UKF) for parameter identification on MATLAB.

Replication codes for paper on "Pruned skewed Kalman filter and smoother with application to DSGE models"

PyGNSSFix is a Python toolkit for precise GNSS data processing and analysis. It supports algorithms for SPP, PPP (code and carrier phase), and advanced GNSS modeling, with configurable inputs and reproducible experiment workflows.

Adaptive Model Predicitive Control - Matlab

🚀 Estimation of Distribution Algorithms Framework (EDAF): a modern, modular Java framework for building and experimenting with EDAs. Plug-in probabilistic models, clean architecture, and research-ready tooling - built for performance, extensibility, and serious optimization.