Dr Anika Schumann will give an overview of the AI works at IBM Research Zurich and talk about the diagnosis of anomalies in IoT applications.
Given the growing amount of data volume from IoT devices, Artificial Intelligence techniques are key for detecting possible anomalies and diagnosing their causes.
Dr Schumann will discuss relevant AI methods that can be used for building diagnosis models capable of explaining abnormal behavior in IoT systems. She will also describe corresponding on-line diagnosis methods. The approach is illustrated for IoT applications such as Buildings, Transportation, and Manufacturing.
Dr. Anika Schumann
Research Staff Member - Artificial Intelligence
Research Strategist - Cognitive Internet of Things
IBM Research, Zurich, Switzerland
Dr Schumann is a manager of the “AI for Industries” group at IBM Research – Zurich that focuses on machine learning methods for predictive analytics based on time series data and on explaining the predictions.
Prior to moving to Zurich she worked as a Research Strategist at IBM’s TJ Watson Research Center in New York where she evaluated, recommended, and shaped topics and recommendations that define IBM’s strategic directions. Initially, she joined IBM as a Researcher in Dublin, Ireland where she led the Cognitive Buildings work that aimed at exploiting and advancing AI methods for fault identification, reduced energy use, and increased occupant comfort in buildings.
Dr Schumann received her PhD from the Australian National University where she worked on the automated fault diagnosis of large-scale discrete-event systems like telecommunication or power supply networks.