Projects


Project 01

Real-Time Gait Analysis Sync

Developed a hybrid hardware-software system to synchronize diverse biomechanical sensors (wearable insoles, motion capture, PEDAR) for precise gait analysis in a clinical research setting.

Python, C, STM32, Bluetooth (BLE), Embedded Systems, Signal Processing, Data Acquisition

Real-Time Gait Analysis Sync

Project 02

Deep Learning for Object Recognition

Designed and implemented an end-to-end deep learning pipeline (Attention U-Net + CNN) to accurately segment, classify, and count 13 types of chocolates, outperforming baselines under strict resource constraints.

Python, PyTorch, Deep Learning, Computer Vision, Segmentation, Classification, Data Augmentation

Deep Learning for Object Recognition

Project 03

Advanced Model Predictive Vehicle Control

Designed and simulated a suite of Model Predictive Controllers (Linear, Robust Tube, Nonlinear using CasADi) in MATLAB for precise highway cruise and adaptive cruise control of a vehicle.

MATLAB, Simulink, CasADi, YALMIP, MPT3, Gurobi, Control Systems, State Estimation

Advanced Model Predictive Vehicle Control

Project 04

DYNABAL: Precision Force Sensor

Co-designed 'DYNABAL,' a novel monolithic force sensor featuring dynamically adjustable stiffness via flexible mechanisms, aiming for ultra-high resolution and insensitivity to external accelerations.

Mechanism Design, Flexible Mechanisms, CAD, SolidWorks, Mechanical Analysis, Precision Engineering

DYNABAL: Precision Force Sensor

Project 05

Real-Time Steer-by-Wire Control

Developed a steer-by-wire system where one motor's position, transmitted via UDP, precisely dictates the position of a second motor controlled by an STM32 with a PID controller. Featured live web-based data visualization.

C, STM32, Embedded Systems, PID Control, Anti-Windup, PWM, UDP Sockets, HTTP, SVG, Git

Real-Time Steer-by-Wire Control