Mastering DC Machines

This course provides a comprehensive understanding of DC machines, covering fundamental concepts, steady-state and dynamic analysis, and advanced mathematical modeling. It is designed to equip learners with the necessary knowledge to analyze and design DC motors and generators based on generalized machine theory.

🧑‍🏫 About the Speaker

Dr. Loai Al-Adim is an experienced Sales and Tendering Manager at Hitachi Energy (formerly ABB Power Grids), currently based in Amman, Jordan. He is part of the Power Grids – Grid Integration (PGGI) business unit, with extensive experience in high voltage (HV) and medium voltage (MV) substations, power quality solutions, and renewable energy integration.

Dr. Al-Adim has built a strong professional presence in the Levant region (Jordan, Iraq, Syria, Lebanon, and Palestine) and the Maghreb region (Algeria and Tunisia), managing complex projects and driving innovation in power systems. He also serves as the Renewable Segment Manager for the Middle East and Africa (MEA) region under the PGGI business line.

🎓 Academic Degrees & Certifications

• Doctorate of Science (DSc., PhD) in Business Innovation in Electrical Power Engineering – Atlantic International University, USA

• PhD in Electrical Engineering – Selinus University of Science and Literature, Italy

• MBA in Energy and Sustainability – Universidad Católica de Murcia (UCAM), Spain

• Advanced Program in Artificial Intelligence (AI) for Business Leaders – Airtics Education in partnership with Acacia University, USA

• Postgraduate Extended Diploma in Energy and Sustainability – Cambridge International Qualification, UK

• Certified Manager Programme – Chartered Management Institute (CMI), UK

• MSc in Electrical Power and Control Engineering – Tafila Technical University (TTU), Jordan

• BSc in Electric Power Engineering – Al-Balqa’a Applied University (BAU), Jordan

🔧 Technical Expertise

Power system analysis, generation, transmission and distribution, electrical machines, HV & MV substations, power quality solutions, renewable energy integration, MATLAB, and ETAP.