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Alessio Quercia

I am a Ph.D. Candidate in Computer Science at RWTH Aachen University and at the Machine Learning and Data Analytics Institute (IAS-8) at Forschungszentrum Jülich. I am supervised by Prof. Ira Assent, Dr. Hanno Scharr and Prof. Abigail Morrison.

My current research interests include Data Efficient Learning, Transfer Learning, Multi-Task Learning, Multi-Modal Learning. In general, I am interested in Computer Vision applications to real-world problems.

Short CV

Experience

  • [09.2019 - 07.2021] > Research Intern at IBM Research Zurich
  • [10.2018 - 07.2019] > Tutor of Computer Science Basics at University of Milan

Education

  • [05.2021 - Current] > Ph.D. in Computer Science at RWTH Aachen University and Forschungszentrum Jülich
  • [10.2020 - 05.2021] > Ph.D Candidate at Sapienza University of Rome and Research Assistant at WSense S.r.l.
  • [09.2017 - 04.2020] > MSc in Computer Science at University of Milan
  • [09.2013 - 07.2017] > BSc in Computer Science at Sapienza University of Rome
Publications

Google Scholar

Alessio Quercia's Projects

biopython icon biopython

Official git repository for Biopython (originally converted from CVS)

edge_computing icon edge_computing

Peer-to-peer network of nodes receiving data from sensors spread over simulated city and sending elaborated data to the main server.

googlehashcode2018 icon googlehashcode2018

Repository intented to keep the files needed to solve GoogleHashCode2018 with a heuristic algorithm.

im_home icon im_home

2D graphic adventure/puzzle game made during the Global Game Jam 2019 at Politecnico di Milano.

mirage icon mirage

2D puzzle platformer with Chinese paintings and puppetry graphic style.

neuroevo icon neuroevo

Bachelor Thesis on Neuroevolution - Università degli Studi di Roma, La Sapienza

neuroevopacman icon neuroevopacman

Modelling of Pacman agents with neural networks being able to learn how to play Pac-Man video game using NeuroEvolution of Augmenting Topologies (NEAT) approach.

pytorch-lightning icon pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

wt-tabs icon wt-tabs

Open a new tab in the last accessed directory (highly likely to be the same of the last used tab).

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