Lukas Stappen

Wiss. Mitarbeiter

Telefon: +49 (0) 821 598 - 2938
Raum: 317, Alte Universität (Eichleitnerstr. 30, F2)

Research Interests

Machine Learning, Deep Learning, Neural Networks, Affective Computing, Audio-Video Emotion Recognition, Entity Recognition, Multimodal Representation Learning, Medical Informatics, Robotics Sensory.

Deep Learning

  • 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.