Adeyemi D. Adeoye

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I am currently a Research Fellow at IMT Lucca, Italy, under Prof. Alberto Bemporad on an ERC-Advanced Grant project.

I completed my PhD at IMT Lucca in June 2025, and was fortunate to be supervised by Prof. Alberto Bemporad. From August 2023 to January 2024, I visited Prof. Philipp Petersen’s Math ML group at the University of Vienna (Austria) as an Erasmus+ Trainee.

Curriculum Vitae

Research topics

Mathematical optimization for engineering applications, with a focus on its theoretical foundations, algorithmic development, and practical implementation in machine learning, control systems, and other interdisciplinary domains.

Updates
04-06-2025 Attended the Workshop on Optimization for Learning and Control organized by the DYSCO research group at IMT Lucca, Italy, on June 4–6, 2025. Presented a poster titled “SCORE: Approximating Curvature Information under Self-Concordant Regularization.”
03-06-2025 Successfully defended my PhD thesis titled “Quasi-Newton Methods for Solving Nonsmooth Optimization Problems in Learning and Control” at IMT Lucca, Italy, on June 3, 2025. The defence was well-received, and I am grateful for the support from my supervisor, committee, family, friends and colleagues.
08-01-2025 Honored to have had the opportunity to present my work at Argonne National Laboratory (ANL), Lemont, Illinois, USA, in a virtual seminar organized by the Mathematics and Computer Science (MCS) Division at ANL.
02-09-2024 Attended the MaLGa Summer School “Applied Harmonic Analysis and Machine Learning” from from 02 to 06 Sept 2024. I presented a poster (see abstract here).
23-05-2024 New arXiv upload by M. Korbit on exact Gauss-Newton for deep neural networks.
23-04-2024 New arXiv upload on regularized Gauss-Newton for neural networks.
12-01-2024 Our "iSQPRL" paper got accepted for publication in IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
04-09-2023 New preprint uploaded to arXiv.
02-08-2023 I am an Erasmus+ Trainee at the Faculty of Mathematics, University of Vienna under the supervision of Prof. Philipp Petersen.
17-06-2023 Our "SCORE" paper got accepted for publication in Computational Optimization and Applications (COAP)
06-07-2022 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).
23-03-2022 Attending SciMLCon ‘22 - A conference on Scientific Machine Learning with the Julia Language.
28-02-2022 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.
17-02-2022 Attending a 2-day “Introduction to the Julia Programming Language” online workshop by Michael F. Herbst. Details here.
14-12-2021 New manuscript (with A. Bemporad) on a new second-order optimization algorithm uploaded to arXiv. Also useful for training overparameterized neural networks models.