Dr.  Mohammad  Gohari
Arak University of Technology,  Iran

Title: Applications of AI in Multi Disk Rotor Balancing

Abstract:

Rotor balancing is a critical aspect of ensuring optimal performance and longevity of rotating machinery in industrial applications. Traditional methods rely on manual adjustments and empirical techniques, which can be time-consuming, labor-intensive, and prone to human error. The advent of Artificial Intelligence (AI) presents a transformative opportunity to revolutionize rotor balancing processes by leveraging advanced data analytics, machine learning algorithms, and real-time decision-making capabilities. This paper explores the application of AI in rotor balancing, highlighting its potential to enhance efficiency, reliability, and safety while minimizing downtime and maintenance costs.

Keywords: Rotor balancing, Artificial Intelligence, Machine Learning, Predictive Maintenance, IoT, Industrial Applications

Biography:

Prof. Dr. Mohammad Gohari was born in Iran, 1979. He got his B.s. degree from Bu-AliSina University and Master degree from Isfahan University of Technology. Then, he joined Universiti Teknologi Malaysia as a PhD student. Next, he was awarded the Best PhD Student prize and got his first postdoctoral certificate. Already, he is working at Arak University of Technology in an Associate Professor position. Recently, he passed visiting researcher time at ICAROS LAB in University Federico II, Italy. Already, he joined University Federico II as a postdoctoral fellowship and focused on biomedical robotics.