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Gonçalo Mordido

Ph.D. Student in Deep Learning

Multimedia and Machine Learning Research Group

Hasso-Plattner-Institut (HPI) für
Digital Engineering gGmbH
Universität Potsdam
Prof.-Dr.-Helmert-Str. 2-3
14482 Potsdam

office:      H-1.21
phone:    +49 (0)331-5509-516
fax:         +49 (0)331-5509-325
email:     goncalo.mordido(at)hpi.de

LinkedIn profile

Research Interests

  • Deep Learning
  • Generative models
  • Monte Carlo Methods


SS 2020

WS 2019/2020

SS 2018

WS 2017/2018




With HPI:

With NOVA University:

*equal contribution





Deep Learning for Enterprise NLP Applications (Jul 2017 - present)

Project partner: SAP

In this project we will develop a framework for building general-applicable as well as domain-specific NLP models by using state-of-the-art deep learning technology. The research problem on textual representation learning will be studied intended to find the most efficient solution for deep neural network design, and system implementation. The evaluation protocol will be defined and developed for the qualitative and quantitative evaluation.

Cognitus (Jun 2016 - Jun 2017)

Project partners: BBC R&D, QMUL, FCT/UNL, Forthnet, VITEC, FORTH, ARRIS

The COGNITUS project aims to combine the advances in UHD broadcasting technologies with the explosion of UGC in order to create new interactive, immersive modes of production. COGNITUS is a joint research project comprising eight European participants, led by BBC R&D. The project is intended to optimise how UHD content is produced and distributed, by capitalising upon the knowledge of professional producers, the ubiquity of UGC and the power of interactive networked social creativity.


Master's thesis

  • Julian Niedermeier (May 2019 - Dec 2019, supervisor: Prof. Dr. Christoph Meinel)
  • Cornelius Hagmeister (Nov 2019 - April 2020, supervisor: Prof. Dr. Christoph Lippert)