Adeyemi D. Adeoye


I am a PhD student at IMT Lucca in the Dynamical Systems, Control, and Optimization (DYSCO) research group under the supervision of Prof. Alberto Bemporad.

I received my bachelor’s degree in Mathematics in 2016 from the University of Ilorin in Nigeria. I obtained a master’s degree in Mathematical Sciences in 2018 from the African Institute for Mathematical Sciences (AIMS), Cameroon. In 2019, I joined the African Master’s in Machine Intelligence (AMMI) post-graduate program at the African Institute for Mathematical Sciences (AIMS), Rwanda, where I got a master’s degree in Machine Intelligence.

Curriculum Vitae

Research topics

  • Current research focus: Mathematics of machine learning (mathematical optimization) and its applications
    • Efficient optimization algorithms for machine learning
    • Data-driven identification and control of complex dynamical systems

   :memo: Papers
   Google Scholar

Recent updates

Jan 12, 2024 Our "iSQPRL" paper got accepted for publication in IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
Sep 4, 2023 New preprint uploaded to arXiv.
Aug 2, 2023 I am an Erasmus+ Trainee at the Faculty of Mathematics, University of Vienna under the supervision of Prof. Philipp Petersen.
Jun 17, 2023 Our "SCORE" paper got accepted for publication in Computational Optimization and Applications (COAP)
Jul 6, 2022 Attending the Eastern European Machine Learning Summer School (EEML2022) as a participant from 06 to 14 Jul 2022. I was accepted to present a poster (see extended abstract here).
Mar 23, 2022 Attending SciMLCon ‘22 - A conference on Scientific Machine Learning with the Julia Language.
Feb 28, 2022 Will be attending the 5-day “LMS Invited Lectures on the Mathematics of Deep Learning” hybrid event from 28 Feb to 4 Mar 2022. Most lectures will be given by Gitta Kutyniok (LMU, Munich). More details here.
Feb 17, 2022 Attending a 2-day “Introduction to the Julia Programming Language” online workshop by Michael F. Herbst. Details here.
Dec 14, 2021 New manuscript (with A. Bemporad) on a new second-order optimization algorithm uploaded to arXiv. Also useful for training overparameterized neural networks models.
Older updates [Click to expand]

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