TL; DR

Application of Neural Networks, Machine Learning algorithms, Reinforcement Learning and Natural Language Processing for Detection / Prediction of Anomalies in Storage Area Network by log data.

Also, development and testing researched methods for improving Digital Twin of Storage Area Network, methods on chaotic systems, OpenAI Gym wrappers.

• Research Article “Online detection of failures generated by storage simulator” (2021)
• Research Article “SANgo: a storage infrastructure simulator with reinforcement learning support” (2020)
• Experiments and intermediate results

My role

• Applying NLP-algorithms to the log data
• Co-authorship in the article “Online detection of failures generated by storage simulator” // very small contribution
• Сo-authorship in the article “SANgo: a storage infrastructure simulator with reinforcement learning support” (RL part)
• Research on methods to improve the Digital Twin of Storage Area Network on research by colleagues presented in the article “Tuning hybrid distributed storage system digital twins by reinforcement learning”
• Testing of RL methods on digital twins of chaotic systems
• Developing OpenAI Gym wrappers