Chair for Embedded Intelligence for Health Care and Wellbeing
|Phone:||+49 (0) 821 598 - 2938|
|Room:||317 (Standort "Alte Universität")|
|Address:||Eichleitnerstraße 30, 86159 Augsburg|
- Machine Learning
- Deep Learning
- Neural Networks
- Affective Computing
- Audio-Video Emotion Recognition
- Entity Recognition
- Multimodal Representation Learning
- Medical Informatics
- Robotics Sensory.
- Neural Network Development:Tensorflow, Theano, Keras.
- Neural Network Approaches: Attention and Memory Networks, Convolutional Neural Networks, Recurrent Neural Networks (LSTMs, GRUs, Bi-directional), Recurrent Convolutional Networks, Autoencoders, Sequence-to-Sequence Networks, Reinforcement Learning.
- Neural Network Applications:
- Multimodal-based Tasks for Entity, Aspect and Emotion Detection. Multimodal in the sense of visual, vocal (speech) and textual unstructured data.
- Text-based Tasks for Sentiment and complex-Emotion, Depression, Narcissism and Hate Speech Detection. Use of both, benchmark and in-the-wild datasets.
- IEEE Transactions on Cybernetics. (IF: 8.803, 2018)
- International Joint Conference on Neural Networks (IJCNN 2019)
- Program Committee for 4th Workshop on Knowledge Discovery from Health Data, International Joint Conferences on Artificial Intelligence 2019 (CORE Rank A*)
Open research topics for bachelor and master students
You can find a list of research topics I am offering here.