Operational Technology
Operational technology (OT) focuses on the application of computing and data analytics to control and monitor physical processes, particularly in industrial settings. Current research emphasizes integrating machine learning, such as reinforcement learning and domain adaptation techniques, with OT systems to improve efficiency, predict equipment failures (e.g., through Remaining Useful Life prediction), and ensure fairness in automated decision-making. This work is significant for optimizing industrial processes, enhancing safety and reliability, and addressing ethical considerations in increasingly autonomous systems.
Papers
Domain Adaptation via Alignment of Operation Profile for Remaining Useful Lifetime Prediction
Ismail Nejjar, Fabian Geissmann, Mengjie Zhao, Cees Taal, Olga Fink
An Operational Perspective to Fairness Interventions: Where and How to Intervene
Brian Hsu, Xiaotong Chen, Ying Han, Hongseok Namkoong, Kinjal Basu