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AlessioQuercia/README.md

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

Pinned

  1. Regression_Analysis_NN Regression_Analysis_NN Public

    Linear and logistic regression with neural networks using TensorFlow.

    Python 1

  2. Emotion_Recognition Emotion_Recognition Public

    Emotion recognition from EEG signals using a SVM classifier.

    Python 7

  3. RealTimeMeshDeformation RealTimeMeshDeformation Public

    3D real-time polygon mesh deformation on collision between two objects.

    C++ 1

  4. GoogleHashCode2018 GoogleHashCode2018 Public

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

    C

  5. NeuroEvoPacman NeuroEvoPacman Public

    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.

    Java 3

  6. NeuroEvo NeuroEvo Public

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

    Java