Marek Śmieja
Jagiellonian University
Institute of Computer Science and Computational Mathematics

Research grants (principal investigator)

  • 2019 - 2023      National Science Centre (Poland), OPUS: grant no. 2018/31/B/ST6/00993,

    Deep processing of structured data,

    (outcome)

  • 2017 - 2020      National Science Centre (Poland), SONATA: grant no. 2016/21/D/ST6/00980,

    Additional information in data clustering and related areas,

    (outcome)

  • 2015 - 2016      National Science Centre (Poland), PRELUDIUM: grant no. 2014/13/N/ST6/01832,

    Development of machne learning methods with an application to determining chemical compounds activitiy,

    (outcome)

  • 2013 - 2015      Polish Ministry of Science and Higher Education, IUVENTUS PLUS: grant no. IP2012 055972,

    Clustering in metric spaces,

    (outcome)


Research & Development projects

  • 2019 - 2021      National Centre for Research and Development (Poland), LIDER: grant no. 0137/L-9/2017,

    Polypharmacological in silico screening platform,

    Head of the project: Rafał Kurczb

    Role: contractor

  • 2017 - 2020      European Regional Development Fund, RPMP.01.02.01-12-0406/16,

    An autonomous system of planning, scheduling and production control based on the methods of artificial intelligence and machine learning,

    Recipient: CFI Information Systems

    Role: R&D Specialist

  • VII – X 2018    Samsung R&D Institute Poland, Warsaw, Poland,

    High-resolution images inpainting with generative adversarial networks,,

    Role: contractor

  • I - VII 2017      European Regional Development Fund,

    Deep learning in terms of a distributed system of energy-efficient mobile devices for the optimization of the machine operation process,

    Recepient: Reliability Solutions

    Role: (contractor) commissioned work

  • VII - IX 2014   Samsung R&D Institute Poland, Warsaw, Poland,

    Text data clustering,

    Role: contractor


Distinctions


Reviewer for:

  • NeurIPS, ICML, AAAI, ICLR

    IEEE journals, JMLR, Elsevier (KBS, NNs)