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
Engineering
- Microgrid
- Power Flow
- Power Engineering
Computer Science
- Distribution Grid
- Driven Approach
- Energy Storage Device
- Newton-Raphson Method
- Learning Approach
Organisations
Published Journal Papers
- F. Vazinram, R. Effatnejad, M. Hedayati and P. Hadjihosseini, “Self-Healing Model for Gas-Electricity Distribution Network with Consideration of Various Types of Generation Units and Demand Response Capability” Elsevier Energy Conversion and Management, Jan, 2020. https://doi.org/10.1016/j.enconman.2020.112487
- F. Vazinram, R. Effatnejad, M. Hedayati and P. Hadjihosseini, “Decentralized Self-Healing Model for Gas and Electricity Distribution Network” IET Generation, Transmission & Distribution, Aug. 2019, 10.1049/iet-gtd.2019.0416. https://doi.org/10.1049/iet-gtd.2019.0416
- R.Effatnejad, F.Vazinram, “Technical, Economic and Environmental Analysis of a Hybrid System Containing CHP, Solar Panel, Wind Turbine with Electrolyzer and Battery as Energy Storage: A Case Study” International Journal of Global Warming, 2018. https://dx.doi.org/10.1504/IJGW.2018.090178
- F. Vazinram, M. Gandomkar, M. B. Mokhtari, “Congestion Management Using Real and Reactive Power Rescheduling Based on Big Bang-Big Crunch Optimization Algorithm,” International Journal of Automation and Power Engineering (IJAPE). 2013, vol. 2. http://dx.doi.org/10.14355/ijape.2014.0303.02
- F. Vazinram, M. Gandomkar, M. B. Mokhtari, “Cost and Stability Analysis of Microgrids in Presence Of EVs Based On Dynamic Modeling,” Journal of Engineering Research and Application, Vol. 3, Issue 5, Sep-Oct 2013, pp.524-530. https://api.semanticscholar.org/CorpusID:4680813
- F. Vazinram, M. Gandomkar, J. Nikoukar, “Optimal Active Power Rescheduling of Generators for Congestion Management Based on Big Bang-Big Crunch Optimization Using New Definition of Sensitivity,” International Journal of Engineering and Advanced TechnologyTM (IJEAT), Vol. 3, Issue 2, Dec 2013. https://www.ijeat.org/wp-content/uploads/papers/v3i2/B2347123213.pdf
Published Conference Papers
- Vazinram, F. (2025). Small-to-Large: Proportional Uniform Distribution Weights Transferring to Reduce Energy Consumption of Training the Models with Fully Connected Layers. In: Computational Science and Its Applications – ICCSA 2025. ICCSA 2025. Lecture Notes in Computer Science, vol 15650. Springer, Cham.
- Vazinram, F. (2026). Large-to-Small: Energy Consumption Reduction of Training the Fully Connected Layers. In: Artificial Intelligence Applications and Innovations. AIAI 2025. IFIP Advances in Information and Communication Technology, vol 757. Springer, Cham.
- Yan, S., Vazinram, F., Kaseb, Z., Spoor, L., Stiasny, J., Mamudi, B., Heydarian Ardakani, A., Orji, U., Vergara, P. P., Xiang, Y. & Guo, J., Data driven approach towards more efficient Newton-Raphson power flow calculation for distribution grids, ICT With Industry 2025, Leiden, Netherlands, 15 Apr. 2025.
- F. Vazinram, M.B. Abolhassani, “Generation Adequacy Analysis in Power Grid”, 33th International Power System Conference, Oct. 2018.
- F. Vazinram, M. Gandomkar, M. B. Mokhtari, “Impact of EVs as Multi-Energy Storage on Cost and Stability of Microgrids” in: The Third ICREDG, 2013.
- M. B. Mokhtari, F. Vazinram, M. Gandomkar, “Dynamic and Stability Analysis of Microgrids with Synchronous Machines in Grid-Connected and Islanded Modes,” in: The 16th IEEE MELECON 2012, 25-28 March; 2012, pp. 788-791.
- F. Vazinram, “The Solar Updraft Tower,” 2nd National Conference on Energy, Fuel and Environment (NCFEE), 2010.
Publications
2025
Small-to-Large: Proportional Uniform Distribution Weights Transferring to Reduce Energy Consumption of Training the Models with Fully Connected Layers (2025)In Computational Science and Its Applications – ICCSA 2025: 25th International Conference, Istanbul, Turkey, June 30 – July 3, 2025, Proceedings, Part III (pp. 81-97) (Lecture notes in computer science; Vol. 15650). Springer. Vazinram, F.https://doi.org/10.1007/978-3-031-96962-1_6Data driven approach towards more efficient Newton-Raphson power flow calculation for distribution grids (2025)[Working paper › Preprint]. Yan, S., Vazinram, F., Kaseb, Z., Spoor, L., Stiasny, J., Mamudi, B., Heydarian Ardakani, A., Orji, U., Vergara, P. P., Xiang, Y. & Guo, J.https://doi.org/10.48550/arXiv.2504.11650Data Driven Approach towards More Efficient Newton-Raphson Power Flow Calculation for Distribution Grids (2025)[Contribution to conference › Abstract] ICT With Industry 2025. Guo, J., Heydarian Ardakani, A., Kaseb, Z., Mamudi, B., Spoor, L., Vazinram, F., Orji, U., Stiasny, J., Vergara, P. P., Xiang, T. & Yan, S.Large-to-Small: Energy Consumption Reduction of Training the Fully Connected Layers (2025)In Artificial Intelligence Applications and Innovations: 21st IFIP WG 12.5 International Conference, AIAI 2025, Limassol, Cyprus, June 26–29, 2025, Proceedings, Part III (pp. 196-210). Springer. Vazinram, F.https://doi.org/10.1007/978-3-031-96231-8_15
Research profiles
Projects (Related to AI):
- MISD Project (Postdoc): Scalable Energy-efficient Deep Learning (2024- )
- Master Project: Develop and Implement Anomaly Detection Algorithm Used for Pipeline Inspection Based on Ultrasound Signals, Acquaint Co., (2023-2024).
Address
University of Twente
Zilverling (building no. 11), room 4063
Hallenweg 19
7522 NH Enschede
Netherlands
University of Twente
Zilverling 4063
P.O. Box 217
7500 AE Enschede
Netherlands
Scan the QR code or