Stratos Pateloudis

- Successful simulation and generation of artificial data for charging/discharging protocols using PyBamm in Python. Used this data to train neural network models and compare with real-world data - Accurate (98%) prediction of battery states using Deep Learning (TensorFlow), and mathematical models

Battery behavior, developing data-driven solutions and Machine Learning techniques. Detailed achievements: - Deep insights on battery health from scrapped data and usage of statistics to take data-driven and strategic decisions - Accurate prediction of knee points (95 %) and relation with EOL80. Reliable estimation (90 %) of EL80 combining machine learning and mathematical models

- Extensive research on gravity using analytical, simulation, and data analysis tools. - Presented the research results upon invitation in 12 esteemed conferences. - Mentored, and supervised a student at M.Sc level and effectively taught 6 courses at B.Sc and M.Sc level.