Sathyajith Mathew

Sathyajith Mathew is a Professor at the University of Agder, Norway, within the Faculty of Engineering and Science, Department of Engineering Sciences. He currently serves as Programme Manager for the Master's in Renewable Energy program and Programme Coordinator for Flexible Learning for Offshore Wind (FLOW). Previously, he held leadership positions at the University of Brunei Darussalam including Deputy Director of the Institute of Applied Data Analytics and UBD | IBM Centre, Programme Leader for Physical and Geological Sciences, and Co-Coordinator of the Energy Research Cluster.

• Professor, University of Agder (Current)
• Deputy Director, Institute of Applied Data Analytics, University of Brunei Darussalam (2017-2018)
• Deputy Director, UBD | IBM Centre, University of Brunei Darussalam (2013-2017)
• Programme Leader, Physical and Geological Sciences, University of Brunei Darussalam (2013-2014)
• Co-Coordinator, Energy Research Cluster, University of Brunei Darussalam (2009-2011)

Dr. Mathew holds a PhD and graduated from the Indian Institute of Technology, Kharagpur, India. With over 25 years of professional experience in wind energy and data analytics, he has established himself as a leading expert in renewable energy technologies.

Dr. Mathew's research focuses on wind energy systems with particular expertise in offshore wind energy, low wind speed turbines, wind power forecasting, distributed wind energy, and wind resource analysis. His work bridges theoretical research with practical applications, developing innovative solutions for improving wind energy conversion efficiency and integration into power grids. His research interests extend to solar photovoltaic systems, electric vehicle charging infrastructure, and waste-to-energy technologies, reflecting a comprehensive approach to sustainable energy systems.

His extensive publication record demonstrates a consistent focus on advancing wind energy technologies while expanding into related renewable energy domains. Recent work shows an increasing integration of machine learning and artificial intelligence techniques for energy forecasting and system optimization, reflecting the evolving nature of renewable energy research.

• Editor, AIMS Energy journal
• Member of the Wind Working Group, United Nations Framework Classification for Fossil Energy and Mineral Reserves and Resources (UNFC)

As an educator, Dr. Mathew teaches specialized courses including Wind Energy (MSc), Wind Power (BSc), Energy Research Project, and Masters Thesis supervision. His teaching emphasizes both theoretical foundations and practical applications of renewable energy technologies. His research group, Intelligent Mechatronics (iTron), focuses on integrating advanced computational methods with renewable energy systems to address real-world energy challenges.

Dr. Mathew leads the Flexible Learning for Offshore Wind (FLOW) initiative, demonstrating his commitment to developing educational programs that address industry needs in the rapidly growing offshore wind sector. His work bridges academic research with practical industry applications, contributing to the advancement of renewable energy technologies worldwide.