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Personal profile

Research areas

Hamid Reza Shaker is the research lead for the strategic research area of Digitally Enabled Asset Maintenance and Management at SDU Center for Energy Informatics, particularly focusing on industrial systems and infrastructure. His research application domain is centered around the energy technology landscape, with a specific emphasis on smart grids and microgrids, district heating systems, and smart buildings.

One of his key contributions is the development of predictive asset maintenance and management frameworks aimed at enhancing Operation and Maintenance (O&M) practices. These frameworks serve as catalysts, enabling businesses operating in the global market to harness the benefits of digital transformation and to achieve sustainability and competitiveness across their products, services, and operations. Hamid's proactive and predictive O&M frameworks have made significant contributions to various research projects.

Furthermore, his research integrates a range of methodologies, including modeling and simulation, artificial intelligence (AI), data analytics, machine learning, and optimization techniques. This integration of diverse methodologies ensures the reliability, validity, and practical applicability of his work, contributing to the advancement of energy informatics and its impact on real-world systems and processes.

Research areas

  • Machine Learning
  • Numerical methods and simulation
  • Energy systems, analysis and optimization
  • High-Voltage Electrical Engineering and Power Distribution
  • ICT for energy optimisation
  • ICT in Energy Control Systems
  • Modern Artificial Intelligence
  • Control Theory


Fingerprints are formed from scientific publications and create an index of weighted keyword concepts for each individual researcher.
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