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.
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
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):
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SDG 7 Affordable and Clean Energy -
SDG 9 Industry, Innovation, and Infrastructure
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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
Yan, S., Vazinram, F., Kaseb, Z., Spoor, L., Stiasny, J., Mamudi, B., Heydarian Ardakani, A., Orji, U., Vergara, P. P., Xiang, Y. & Guo, J., 15 Apr 2025.Research output: Working paper › Preprint › Academic
Open AccessFile59 Downloads (Pure) -
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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Large-to-Small: Energy Consumption Reduction of Training the Fully Connected Layers
Vazinram, F., 2025, Artificial Intelligence Applications and Innovations: 21st IFIP WG 12.5 International Conference, AIAI 2025, Limassol, Cyprus, June 26–29, 2025, Proceedings, Part III. Maglogiannis, I., Iliadis, L., Papaleonidas, A. & Andreou, A. (eds.). Springer, Vol. 757. p. 196-210 15 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile1 Downloads (Pure) -
Small-to-Large: Proportional Uniform Distribution Weights Transferring to Reduce Energy Consumption of Training the Models with Fully Connected Layers
Vazinram, F., 28 Jun 2025, Computational Science and Its Applications – ICCSA 2025: 25th International Conference, Istanbul, Turkey, June 30 – July 3, 2025, Proceedings, Part III. Gervasi, O., Murgante, B., Garau, C., Karaca, Y., Taniar, D., A. C. Rocha, A. M. & O. Apduhan, B. (eds.). Springer, p. 81-97 17 p. (Lecture notes in computer science; vol. 15650).Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review
Open AccessFile1 Downloads (Pure) -
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
17 Link opens in a new tab Citations (Scopus)
Prizes
Activities
- 1 Publication Peer-review
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21st International Conference on Artificial Intelligence Applications and Innovations, AIAI 2025 (Event)
Vazinram, F. (Editor)
2025 → …Activity: Publication peer-review and editorial work › Publication Peer-review