Pegah Mavaie

According to our database, Pegah Mavaie authored at least 5 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Learning from Incomplete Logs: Dual-Task Failure Prediction for Natural Gas Compressor Units.

Pegah Mavaie, Ravigopal Vennelakanti

Proceedings of the International Conference on Machine Learning and Applications, 2025

Automated Indicator Mining and Forecast-Ready Feature Engineering via LLMs: Application in Colocation Data Center Supply Chains.

Pegah Mavaie, Neda Zarayeneh, Ravigopal Vennelakanti

Proceedings of the IEEE International Conference on Data Mining, 2025

2023

Hybrid deep learning approach to improve classification of low-volume high-dimensional data.

Pegah Mavaie, Lawrence Holder, Michael K. Skinner

BMC Bioinform., December, 2023

Colocation Datacenter Customer Power Usage Forecasting Using Synthetic Data and Integration of Macroeconomic Indicators.

Neda Zarayeneh, Malarvizhi Sankaranarayanasamy, Pegah Mavaie, Omanshu Thapliyal, Prasun Singh, Ravigopal Vennelakanti

Proceedings of the IEEE International Conference on Big Data, 2023

2021

Predicting environmentally responsive transgenerational differential DNA methylated regions (epimutations) in the genome using a hybrid deep-machine learning approach.

Pegah Mavaie, Lawrence Holder, Daniel Beck, Michael K. Skinner

BMC Bioinform., 2021