Labib Sharrar

I am an individual who is constantly looking to improve himself by working on projects relating to software development, machine learning or robotics.

I have gone for two internships so far, as listed below:

• Internship at JCY HDD Technologies (July 2020 – Dec. 2020):

• Programming Panasonic and Keyence PLCs for automations.
• Developing graphical user interfaces using C++ and Python.
• Designing experimental automations using SOLIDWORKS.
• Designing electrical circuits for data collection.
• Automating data segregation and classification using machine learning models.

• Training Convolutional Neural Network models for computer vision applications.
• Writing computer vision algorithms for object detection and classification.
• Working with TensorFlow and Keras frameworks.
• Designing electrical circuits for remote temperature monitoring.
• Implementing Node-Red (IoT platform) and MQTT protocols.

• Developed an automated fault detection system for industrial grade electric motors. Analyzed vibration and current consumption data from motors and used them to train an LSTM autoencoder model to detect abnormalities. 
• Developed a system to predict lightning strikes using Keras deep learning framework. Analyzed temperature, humidity and wind speed data. Used LSTM and other supervised models to forecast weather conditions. Applied K-Means clustering to classify lightning strikes. 
• Designed an IoT-based moisture monitoring and precision irrigation system. Calibrating moisture sensors. Design electronic circuits with NodeMCU ESP8266 microcontroller for data monitoring and program using C. Collection and analysis of plant moisture data. Designed a controller for a motorized watering system. Implemented Google’s Firebase IoT platform. Developed an Android application for moisture monitoring.

Relevant Education

1. Bachelor's Degree in Mechatronic Engineering at the University of Technology Malaysia (2015-2019)
2. Master's of Philosophy in Electrical Engineering at the University of Technology Malaysia (2020-2022)
3. Ph.D. in Electrical Engineering at the University of Colorado Boulder (2022 - Present)