Shpresim Sadiku

Shpresim Sadiku

PhD @TUBerlin/BMS
Scientific Assistant @ZuseInstitute

TU Berlin/ZIB

Biography

I am a PhD candidate at the Institute of Mathematics, Technische Universität Berlin, working under the supervision of Prof. Dr. Sebastian Pokutta. I am also affiliated with the Zuse Institute Berlin, where I hold a Scientific Assistant position.

I received an MSc in Mathematics in Data Science under the supervision of Prof. Dr. Michael Wolf at the Technical University of Munich in May 2020 and a BSc in Mathematics at the University of Tirana in July 2017.

My research interests lie at the interface of deep learning and optimal control, with a primary focus on developing efficient deep learning optimization algorithms of constant memory cost. Currently, I am using the Maximum Principle to study the (continuous) dynamical system approach to deep learning.

My academic resumé can be found here.
Interests
  • Theoretical Deep Learning
  • Robust Machine Learning
  • Explainable Artificial Intelligence
Education
  • PhD, Mathematics, 2024 (exp.)

    Technische Universität Berlin

  • MSc, Mathematics in Data Science, 2020

    Technical University of Munich

  • BSc, Mathematics, 2017

    University of Tirana

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