Research output per year
Research output per year
Personal profile
Personal profile
Dr. Farzad Vazinram is a Postdoc researcher in the Data Management and Biometrics (DMB) Group of the Faculty of Electrical Engineering, Mathematics, and Computer Science (EEMCS) at the University of Twente, the Netherlands. He obtained his B.Sc., M.Sc., and Ph.D. degrees in Electrical Engineering, Power Systems. After gaining industrial experience at companies like CATERPILLAR and Grid Management Company, he earned another M.Sc. degree in Smart Systems Engineering. His current research focus is on Scalable Energy-efficient Deep Learning as part of the MISD project.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Master, Develop and Implement Anomaly Detection Algorithm Used for Pipeline Inspection Based on Ultrasound Signals
Award Date: 6 Feb 2024
PhD, Model for Self-Healing of Distribution system with consideration of Combined Gas-Electricity Network
Award Date: 15 Aug 2019
Master, Propose a Reference Model (Benchmark) for Microgrid by Immense Analysis of Microgrid Components and Dynamic Modeling of Mentioned Model
Award Date: 22 Aug 2013
Bachelor, Tidal Power Plants and Evaluation of Existing Potentials in the Strait and the Gulf
Award Date: 5 Aug 2009
Keywords
- QA75 Electronic computers. Computer science
- Machine Learning
- Deep learning
- Deep reinforcement learning
- Energy
- TK Electrical engineering. Electronics Nuclear engineering
- Optimization
- Energy Systems Optimization
Artificial Intelligence Expert
- Deep Learning
- Energy, Sustainability, Environment and Circularity
- Traditional Machine Learning
- Hardware 4 AI
- Reinforcement Learning
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Collaborations and top research areas from the last five years
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Data Driven Approach towards More Efficient Newton-Raphson Power Flow Calculation for Distribution Grids
Guo, J., Heydarian Ardakani, A., Kaseb, Z., Mamudi, B., Spoor, L., Vazinram, F., Orji, U., Stiasny, J., Vergara, P. P., Xiang, T. & Yan, S., Jan 2025. 6 p.Research output: Contribution to conference › Abstract › Professional
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Self-healing model for gas-electricity distribution network with consideration of various types of generation units and demand response capability
Vazinram, F., Hedayati, M., Effatnejad, R. & Hajihosseini, P., 15 Feb 2020, In: Energy conversion and management. 206, 14 p., 112487.Research output: Contribution to journal › Article › Academic › peer-review
15 Citations (Scopus) -
Decentralised self-healing model for gas and electricity distribution network
Vazinram, F., Effatnejad, R., Hedayati, M. & Hajihosseini, P., Oct 2019, In: IET Generation, Transmission and Distribution. 13, 19, p. 4451-4463 13 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile8 Citations (Scopus)2 Downloads (Pure) -
Generation Adequacy Analysis in Power Grid
Vazinram, F., 20 Oct 2018, International Power System Conference.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
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Technical, economic and environmental analysis of a hybrid system containing CHP, solar panel, wind turbine with electrolyser and battery as energy storage: case study
Effatnejad, R., Rezapour, K. & Vazinram, F., 5 Mar 2018, (E-pub ahead of print/First online) In: International Journal of Global Warming. 14, 2, p. 170 187 p.Research output: Contribution to journal › Article › Academic › peer-review
12 Citations (Scopus)