Hello, I’m Marko Horvat. I’m a computer scientist and a lecturer affiliated with Zagreb University of Applied Sciences (TVZ) and University of ZagrebFaculty of Electrical Engineering and Computing (FER) in Croatia.

I hold a PhD in Computer Science from University of Zagreb, Faculty of Electrical Engineering and Computing. I’m the head of the Artificial Intelligence Laboratory at Zagreb University of Applied Sciences and participant of several research projects focused on data mining of EEG time series data, linking semantic and affective knowledge, prediction of emotion, stress and fatigue using pervasive hardware, and development of multimedia stimuli databases with tools for their construction and multifaceted retrieval.

This site showcases some of my work, including software tools which can be freely downloaded for academic purposes and a blog on topics that intersect affective computing, machine learning, knowledge representation and information retrieval. 

Some of the latest (academic years 2015-16 & 2016-17) work accomplished with my students at the TVZ AI Laboratory:

Affective Computing/Psychophysiology:

  • Application of EMOTIV Epoc+ wireless EEG system in a real-time neurofeedback training
  • Demonstration of an emotion elicitation experiment in fully immersive VR with EEG monitoring
  • Development of a webcam heart rate analysis tool using Open Source Computer Vision (OpenCV) library

Ubiquitous/Mobile Computing:

  • Evaluating the usefulness of commercial Android Wear smartwatches in continuous heart rate monitoring
  • Development of Android mobile and web applications for paced breathing exercises
  • Development of Android mobile and web applications for emotion recognition using facial expressions with Visage SDK
  • Development of cognitive-bias modification mobile and web applications

Please feel free to contact me regarding research cooperation, project opportunities and other common professional topics.

Research keywords: machine learning, automated reasoning, formal knowledge representation, affective computing, linked data and the semantic web