Felix Dollack, PhD

Felix Dollack, PhD

Human Informatics

Vie Style, Inc


My interests lie with (animal, artificial, hybrid, human) intelligence, affective computing and human-computer interaction. I got my PhD in the field of Human Informatics at the University of Tsukuba (Japan) and received BEng and MSc degrees in Hearing Technology and Audiology from Jade University of Applied Sciences Oldenburg and the University of Oldenburg (Germany).

  • Generative and Explainable Artificial Intelligence
  • Affective Computing
  • Human Computer Interaction
  • Perception
  • PhD in Human Informatics, 2020

    University of Tsukuba

  • MSc in Hearing Technology and Audiology, 2015

    University of Oldenburg

  • BEng in Hearing Technology and Audiology, 2013

    Jade University of Applied Science


Software Engineer
Oct 2022 – Present Kamakura, Japan

Responsibilities include:

  • Cross-platform desktop application development.
  • Development of machine learning models for in-ear EEG mood estimation.
Postdoctoral Researcher
Apr 2022 – Nov 2022 Kyoto, Japan

Responsibilities include:

  • Development of a recommendation system for safe and enjoyable e-bike routes.
  • Real-time advertising system based on user trajectories and location.
Chief Technology Officer
Smart Care Tech
Sep 2020 – Apr 2022 Tokyo, Japan

Responsibilities include:

  • Design and development of a real-time human behavior analysis system.
  • In-house tooling for recording management and video event querying.
  • Development of web and Android applications for personalized medication.
  • Supervision and guidance of two junior software developers.
Research Intern
Aug 2019 – Mar 2020 Atsugi, Japan

Responsibilities include:

Software Engineer
Dec 2015 – Mar 2017 Erlangen, Germany

Responsibilities include:

  • Support customers at implementation of audio codecs on embedded devices.
  • Stress test and quality assurance of the in-house codebase.
  • Port Bluetooth-AAC to Android.
Research Assistant
Apr 2013 – Jul 2013 Oldenburg, Germany

Responsibilities include:


Deep Learning Nanodegree
  • Predicting time series with neural networks.
  • Transfer learning with convolutional neural networks for object recognition.
  • Recurrent neural networks for text generation.
  • General Adversarial Networks for generation of human faces.
  • Deploying a sentiment analysis model to Amazon Web Services (Cloud computing).
See certificate
Artificial Intelligence Nanodegree
  • Forward planning agents.
  • Adversarial game playing agents.
  • Sudoku solver.
See certificate


Quickly discover relevant content by filtering publications.