On February 15^th, 2024, the Faculty of Engineering (FE), AIUB, organized a workshop titled “Machine Learning Application in Electrical Engineering” as a part of Faculty Development Program. The workshop aimed to explore the practical implementation and integration of Machine Learning techniques into various aspects of Electrical Engineering for enhanced efficiency and innovation.

Dr. Rinku Basak, Associate Professor, Department of EEE, Faculty of Engineering, American International University – Bangladesh, moderated the workshop, which was inaugurated by Nafiz Ahmed Chisty, Associate Professor & Department Head, Undergraduate Program, EEE, AIUB. Following the inauguration, Dr. Shameem Ahmad, Assistant Professor, Department of EEE, Faculty of Engineering, AIUB, took the floor as the speaker of the session. During the session, he covered the fundamental concepts of machine learning, explaining its key concepts and real-world applications. He further delved into the various types of Artificial Intelligence (AI) and further highlighted the difference between machine learning and deep learning, clarifying their unique roles and capabilities. He also walked through the steps of implementing machine learning algorithms, stressing practical considerations. Dr. Shameem highlighted the importance of essential software tools for implementation of machine learning projects and briefly introduced Python and Anaconda platforms, an essential tool for machine learning implementation, to pave the way for further exploration into practical techniques.

Afterwards, the speaker demonstrated the process of becoming acquainted with relevant software tools, emphasizing their importance in machine learning projects. He then proceeded to explain data processing techniques, showcasing methods for preparing and manipulating datasets to enhance model performance. Additionally, Dr. Shameem introduced various libraries commonly utilized in machine learning tasks, highlighting their roles and functionalities. He proceeded to guide through the implementation of machine learning algorithms, illustrating step-by-step procedures for model development, training and testing. Finally, Dr. Shameem demonstrated the execution of results obtained through machine learning, showcasing practical applications and the insights derived from predictive models. Following the session, Dr. Md. Saniat Rahman Zishan, Director, Faculty of Engineering, American International University – Bangladesh, wrapped up the workshop by delivering the closing remarks and presenting the token of appreciation to the speaker as a sign of gratitude.

The event successfully underscored the significance of machine learning and effectively showcased its wide-ranging applications across various domains. It also provided participants with an introduction to machine learning and its practical applications within the field of electrical engineering. These aspects align the workshop with several Sustainable Development Goals (SDGs), including SDG 4 (Quality Education) and SDG 9 (Industry, Innovation, and Infrastructure).

The workshop lasted for a duration of three hours, and distinguished faculty members from the Faculty of Engineering were in attendance throughout the session.