Murat Onur Yildirim

Hi, I am a PhD candidate under the supervision of Joaquin Vanschoren and Decebal Constantin Mocanu at the department of Mathematics and Computer Science in TU Eindhoven.

My research focuses on continual learning, inspired by neuroscience and grounded in principles like sparsity and modularity.

Email  -  Scholar  -  Github  -  In  -  X  -  CV

News

  • 05/2025, "Self-Regulated Neurogenesis for Online Data-Incremental Learning" has been accepted in the CoLLAs.
  • 04/2025, I have joined the General Assembly of the EU-project SYNERGIES in Paris, France.
  • 03/2025, I have participated an inspiring spring school on Learning over Time at Certosa di Pontignano, Italy.
  • 06/2024, I have attended an amazing summer school on Generative Modelling "GeMMS" at TU Eindhoven.
  • 11/2023, "Continual Learning with Dynamic Sparse Training: Exploring Algorithms for Effective Model Updates" has been accepted for oral presentation at the CPAL.
  • 09/2023, "AdaCL: Adaptive Continual Learning" has been accepted for oral presentation at the CLAI.
  • 04/2023, "Condition Monitoring and Predictive Maintenance in Railways" is granted to international patent.
  • 10/2022, "Automated Machine Learning Approach in Material Discovery of Hole Selective Layers for Perovskite Solar Cells" has been published in the Energy Technology.
  • 11/2021, "Predicting Perovskite Bandgap and Solar Cell Performance with Machine Learning" has been published in the Solar RRL.
  • 05/2021, "A Machine Learning Approach for Metal Oxide Based Polymer Composites as Charge Selective Layers in Perovskite Solar Cells" published in the ChemPlusChem.
  • 08/2020, "Comparison of Machine Learning Models on Performance of Single- and Dual-Type Electrochromic Devices" has been published in the ACS Omega.

Research

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Self-Regulated Neurogenesis for Online Data-Incremental Learning.
Murat Onur Yildirim, Elif Ceren Gok Yildirim, Decebal Constantin Mocanu, Joaquin Vanschoren.
CoLLAs, 2025.
paper  -  github  -  blog

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AdaCL: Adaptive Continual Learning.
Elif Ceren Gok Yildirim, Murat Onur Yildirim, Mert Kilickaya, Joaquin Vanschoren.
ContinualAI, 2024.
paper  -  github  -  blog

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Continual Learning with Dynamic Sparse Training: Exploring Algorithms for Effective Model Updates.
Murat Onur Yildirim, Elif Ceren Gok Yildirim, Ghada Sokar, Decebal Constantin Mocanu, Joaquin Vanschoren.
CPAL, 2024.
paper  -  github

Publication Image 4

Automated Machine Learning in Material Discovery of Hole Selective Layers for Perovskite Solar Cells.
Murat Onur Yildirim, Elif Ceren Gok Yildirim, Esin Eren, Peng Huang, Muhammed Haris, Samrana Kazim, Joaquin Vanschoren, Aysegul Uygun Oksuz, Shahzada Ahmad.
Energy Technology, 2023.
paper

Publication Image 3

Predicting Perovskite Bandgap and Solar Cell Performance with Machine Learning.
Elif Ceren Gok, Murat Onur Yildirim, Muhammed Haris, Esin Eren, Meenakshi Pegu, Naveen Harindu Hemasiri, Peng Huang, Samrana Kazim, Aysegul Uygun Oksuz, Shahzada Ahmad.
Solar RRL, 2022.
paper

Publication Image 2

A Machine Learning Approach for Metal Oxide Based Polymer Composites as Charge Selective Layers in Perovskite Solar Cells.
Murat Onur Yildirim, Elif Ceren Gok, Naveen Harindu Hemasiri, Esin Eren, Samrana Kazim, Aysegul Uygun Oksuz, Shahzada Ahmad.
ChemPlusChem, 2021.
paper

Publication Image 1

Comparison of Machine Learning Models on Performance of Single-and Dual-Type Electrochromic Devices.
Elif Ceren Gok, Murat Onur Yildirim, Esin Eren, Aysegul Uygun Oksuz.
ACS Omega, 2020.
paper

See more

Supervision

If exploring machine learning through the lens of adaptable and efficient intelligence excites you, I’d be happy to brainstorm ideas and support your journey in a collaborative, low-pressure environment. I’ve been fortunate to work with such talented curious minds:

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Shreya Sajid
Token Pruning in Audio Tasks using Frequency Domain Information — co-supervised by NXP, 2025.
ongoing

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Athira Kulampurath
Exploring One-Shot Pruning Methods for Class-Incremental Learning — 2025.
ongoing

Student Image 1

Coen Schouten
On-the-Fly Curriculum Design for Online Class-Incremental Learning — cum laude, 2024.
thesis


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