Srinivas Ravuri

Machine Learning based differentiation of Human Gait characteristics using wearable sensor system (https://github.com/srinivas-6/Deep-Learning-based-Gait-Abnormality-Detection), Design & Development of Wearable Sensors (Pressure Insole & IMU ), Data Visualization using C++ and Python in Processing IDE Deep Learning for Human Motion Analysis, Time Series data regression; Motion prediction using LSTM model, Motion classification and gait parameter prediction using Deep Learning.

Defining Sensor placement configurations based on ODD requirements Research in OEDR, specific to 3D Object Detection / Tracking Sensor Calibration, Point cloud data processing

Sensor Platform for Human Gait Data Analysis (https://github.com/srinivas-6/Gait-Data-Acquisition-and-Analysis), Design and Construction of Sensor systems (Pressure sensing Insole, IMU sensor), Piezo resistive technology employing materials like velostat and conductive fabric from Eeontex, MPU 9250 inertial measurement unit, Embedded programming (Arduino Nano), Signal Processing and Sensor Data Fusion (Kalman and Complementary filters), Visualization of Insole pressure data, gait parameter estimation

Research on Smart structures (Shape Memory Alloys). A Control algorithm (Space Vector -PWM) was developed using MATLAB for effective control of the non-linear behavior of Shape memory alloy actuators.Simulation was carried using Simulink and the Experiment setup consisted of NI 6014 DAC with corresponding sensors, programmable power supply, NI-Ti Shape memory alloy against a bias spring as an actuator.

Optimal Control , Process Control , Distributed Control Systems , Machine Learning

Digital Electronics, CNC Programming , Robotics , Design of Machine elements , Electrical Machines