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Ensiye Kiyamousavi

Junior Researcher

R Research and innovation

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What You Seek Is Seeking You!
(Rumi)

Ensiye Kiyamousavi is a Junior researcher at the GATE Institute.

She graduated from the Faculty of Mathematical Sciences at Tarbiat Modares University, Tehran, Iran, with a master’s degree in Computer science (Scientific computing).

For her master’s thesis, she conducted research for the invention and implementation of a new method for feature selection of hyperspectral images.

From 2017 to 2020, she worked as a software engineer.

Publications

Kiyamousavi E, Kraychev B, Koychev I , FedSym: Unleashing the Power of Entropy for Benchmarking the Algorithms for Federated Learning 2023 IEEE International Conference on Big Data (IEEE BigData 2023), 15-18 Dec. Sorrento, Italy ,

Krasteva I, Kraychev B, Kiyamousavi E. , How Federated Machine Learning Helps Increase the Mutual Benefit of Data-Sharing Ecosystems Proc - 2023 IEEE/ACM 2nd International Conference on AI Engineering - Software Engineering for AI, CAIN 2023. 2023;96–7.,

Kraychev B., Kiyamousavi, E., Koychev, I., FedGrid: Federated Model Aggregation via Grid Shifting UCC '23: Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing,

Kraychev B., Kiyamousavi, E., Exo-Spacetimeformer: Time Series Prediction with External Forecast Integration Tiny Papers @ ICLR 2024,

Ensiye Kiyamousavi

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