Summary

As a holder of a PhD in Mechatronics, a Master's degree in Electrical and Computer Systems, and a Bachelor's degree in Electrical Engineering, I have developed a keen interest in various fields, including signal processing, machine learning, instrumentation, control systems, biomedical engineering, robotics, intelligent systems, and automation.

My PhD dissertation, titled "Earthquake Prediction using a Hybrid Technique," focuses on predicting earthquakes based on the Earth's electric field. This research involves applying signal processing and machine learning methodologies to forecast upcoming earthquakes.

In my Master's thesis, titled "Speaker Identification using Support Vector Machines," I utilized signal processing techniques to extract speech signals, and then employed machine learning algorithms to identify individuals based on these extracted features.

During my undergraduate studies, I undertook a final year project to develop a weather station capable of measuring five different parameters: humidity, temperature, wind speed, wind direction, and rainfall. This weather station aims to be utilized for future weather forecasting purposes.

I am passionate about applying my knowledge and engineering skills to develop innovative, user-friendly, and portable solutions for various domains, particularly in the fields of biomedical engineering, industry, and addressing challenges related to life and natural disasters.