06/2026, Our paper "Coresets are More Than a Replay" has been published in Neural Computing and Applications (NCAA).

05/2026, I gave a talk at Fontys about "Continual Learning and What it Takes to Publish a Paper".

04/2026, I led the interactive lab sessions for the Machine Learning Engineering course at TU Eindhoven.

03/2026, PAM has been presented at CPAL 2026.

02/2026, Our paper TOSCA has been published in TMLR.

12/2025, Our papers PAM and TOSCA are presented at the NeurIPS workshop "Scalable Continual Learning for Lifelong Foundation Models".

10/2025, I have taken on a temporary lecturer position at TU Eindhoven.

05/2025, Our paper called SERENA:"Self-Regulated Neurogenesis For Online Data-Incremental Learning" has accepted to CoLLAs 2025!

03/2025, I have attended LOT: Learning Over Time Spring School in Sienna.

01/2025, I have participated in 1 week F+Cube program as a mentee and had a chance to get mentorship about surviving in academia. I have summarized my PhD research and presented during the program.

10/2024, I have attended the Alice&Eve event women in computing in Leiden and presented our work called “Continual Learning on a Data Diet” and got a chance to network with women in the field.

07/2024, I have attended a summer school on Generative Modelling and here is my high level notes: GeMMS.

11/2023, Our paper "Continual Learning with Dynamic Sparse Training: Exploring Algorithms for Effective Model Updates" has been accepted for oral presentation at the CPAL.

10/2023, We have presented AdaCL in virtual: AdaCL:Adaptive Continual Learning

09/2023, Our paper "AdaCL: Adaptive Continual Learning" has been accepted for oral presentation at the CLAI.

04/2023, Our model "Condition Monitoring and Predictive Maintenance in Railways" is granted to international patent.

10/2022, Our paper "Automated Machine Learning Approach in Material Discovery of Hole Selective Layers for Perovskite Solar Cells" has been published in the Energy Technology.

11/2021, Our paper "Predicting Perovskite Bandgap and Solar Cell Performance with Machine Learning" has been published in the Solar RRL.

05/2021, Our paper "A Machine Learning Approach for Metal Oxide Based Polymer Composites as Charge Selective Layers in Perovskite Solar Cells" has been published in the ChemPlusChem.

08/2020, Our paper "Comparison of Machine Learning Models on Performance of Single- and Dual-Type Electrochromic Devices" has been published in the ACS Omega.