MSc. Masoud Amirrezai is a Research assistance at MEAS since 2021. His work primarily focuses on the development of resilient power electronic topologies as well as energy management for critical loads.

• Open6GHub
• Energy Resilient Telecommunication Networks 5GCampus
• Augmented Reality

• Application of AI in Power Systems
• Energy Resilience
• Power Electronics

• Lab supervisor
  • Laboratory Power and Automation technology (ENT/AUT)
  • Laboratory Advanced Power technology (ENT Vert.)

• Feasibility study of incorporating static compensators in distribution networks containing distributed generation considering system power factor, 2023, Electric Power Systems Research
• Evaluation of 5G-capable framework for highly mobile, scalable human-machine interfaces in cyber-physical production systems, 2022, Journal of Manufacturing Systems
• A new fuzzy-based current control strategy with fixed switching frequency for improving D-STATCOM performance, 2018, Journal of Intelligent & Fuzzy Systems,

• Improving the Resilience of Modular Multilevel Converters using Concurrent Estimators, 2023 IEEE 2nd Industrial Electronics Society Annual On-Line Conference (ONCON)
• Parameter Estimation of Battery Modules in a Modular Reconfigurable Battery Using Deep Neural Network, 2023 8th IEEE Workshop on the Electronic Grid (eGRID)
• Highly Integrated Electric Drive based-on Smart DC Batteries Topology and Control, 2023 25th European Conference on Power Electronics and Applications (EPE'23 ECCE Europe)
• Highly Integrated Electric Drive with Modular Reconfigurable Batteries, 2022 IEEE 1st Industrial Electronics Society Annual On-Line Conference (ONCON)

IEEE

MATLAB, Python, Deep Learning

Hiking, Photography, Body building

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