Lukas Stappen

Wiss. Mitarbeiter/ Doktorand
Lehrstuhl für Embedded Intelligence for Health Care and Wellbeing
Telefon: +49 (0) 821 598 - 2938
E-Mail:
Raum: 317 (Standort "Alte Universität")
Adresse: Eichleitnerstraße 30, 86159 Augsburg

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
  1. Multimodal-based Tasks for Entity, Aspect and Emotion Detection. Multimodal in the sense of visual, vocal (speech) and textual unstructured data.
  2. Text-based Tasks for Sentiment and complex-Emotion, Depression, Narcissism and Hate Speech Detection. Use of both, benchmark and in-the-wild datasets.

Reviewing

  • 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.

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