Adeyemi D. Adeoye
Education
- Ph.D. in Systems Science, June 2025
IMT School for Advanced Studies Lucca - M.Sc. in Machine Intelligence, Mar 2021
African Institute for Mathematical Sciences - M.Sc. in Mathematical Sciences, 2018
African Institute for Mathematical Sciences - B.Sc. in Mathematics, 2016
University of Ilorin
I am currently a Research Fellow in the Dynamical Systems, Control, and Optimization (DYSCO) group at IMT Lucca (Italy) working on an ERC Advanced Grant project led by Prof. Alberto Bemporad. My research focuses on mathematical optimization for engineering applications, spanning theoretical foundations, algorithm design, and practical implementations in machine learning, control systems, and interdisciplinary domains.
Updates
| 02-09-2025 | Uploaded our new work on proximal ALM to arXiv. |
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| 04-06-2025 | Attended the Workshop on Optimization for Learning and Control at IMT Lucca, Italy, on June 4–6, 2025. Presented a poster titled “SCORE: Approximating Curvature Information under Self-Concordant Regularization.” Thanks to the organizers and participants for a great workshop! |
| 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. |
| 02-02-2025 | I am part of the ERC Advanced Grant project COMPACT, led by Prof. Alberto Bemporad. Excited to contribute to this innovative research initiative! |
| 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. |
| 30-01-2024 | I completed my Erasmus+ Traineeship at the Faculty of Mathematics, University of Vienna. What a great experience it was! |
| 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. |