Dr. Sasanka Potluri

- Development of Wearable devices for acquisition multi-modal gait data - AI based gait analysis - Identification of abnormal gait patterns - Prediction of possible health issues related gait in advance

- Identification of relevant Threats from Literature and Standards (e.g., IEC 62443) - Extraction of the signatures of the service primitives and extraction of the data contents in the telegrams - Implementation of the Machine Learning and Deep Learning techniques for anomaly detection in communication network - Integration and testing of the developed SecurityAgent in a demonstration plant and troubleshooting

- Understanding of automotive safety standards (eg ISO 26262) - Developing the concept of application-dependent environment modeling - Integration of different sensor data into the developed environment model for autonomous vehicles - Development of hardware in Loop (HiL) demonstration platform

- Deep Learning for Network Security and False Data Injection Attacks with MATLAB; Theano and Tesnorflow - Artificial Neural Networks and Self-Organizing Maps for evaluation of the efficiency of each algorithm and toolbox for use in Industrial Control Systems

- High Performance Computing - Cellular Neural Networks - Pervasive Computing