Multimedia Lab

The multimedia lab's main research focus is on computer science applications for the arts. The use of Artificial Intelligence and Machine Learning algorithms to manipulate data obtained from sensors or other sources for creative applications. Design and creation of interactive and motion enabled objects.


  • Artificial Intelligence
  • Machine Learning
  • Robotics
  • Computational Creativity
  • Creative Electronics
  • Digital Interactivity
  • Augmented/Virtual Reality
  • Internet Art

Lab Equipment

3D scanner

structured light 3D scanning for recreation of 3D models

Arduino Uno

creation of interactive electronic objects


brain computer interface (BCI) applications


motion sensing input device

Leap Motion

hand motion sensing

LilyPad Arduino

e-textiles and wearables projects

Particle Photon

Internet of Things (IoT) projects

Raspberry Pi 3

creation of interactive electronic objects

Bare Conductive Touch Board

interactive projects using electric paint

Multimedia Lab Equipment

The Multimedia Lab is fully equipped with 30 workstations for teaching and research purposes. The lab also has a wide range of equipment for the realization of student and research projects.

Active Research Projects

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    Social Media Mining for the Analysis of the Artworld

    A methodology for constructing a network that maps the structure of the artworld is proposed. It is based on mining Twitter in an attempt to identify the artworld actors (artists, museums, galleries, curators, etc.) as they exist online and discover connections amongst them. The ability to obtain a map the artworld from social media data is regarded as the first essential step for further exploring how Artificial Intelligence techniques can elaborate on the understanding of the artworld.

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    Sentiment analysis of tweets for CPI prediction

    Algorithms for sentiment analysis of tweets applied to the prediction of economy indexes.

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    Topic discovery and future trend forecasting for texts

    Natual Language Processing (NLP) and Machine Learning algorithms for topic discovery and trend forecasting in texts.

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    EEG-based serious games for children with ADHD

    Exploration of neurofeedback game designs and algorithms for the implementation of concetraction games targeted for children with ADHD.

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    EEG signal analysis for the correlation of sounds and colors

    Exploration of theories for the correlation of sounds and colors and experimental validation through EEG raw signals analysis.

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    Fluid simulation system for HTML5 games graphics

    Design and implementation of graphics algorithms for parametric fluid simulation and point splattering.

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    Emotion analysis and detection from images

    High level image feature exctraction for emotion analysis.