| Apr 30, 2024 |
I am delighted to have accepted the associate role at the Eindhoven Artificial Intelligence Systems Institute (EAISI). For more information, please read here.
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| Apr 15, 2024 |
Exciting news! Our paper titled Unsupervised Anomaly Detection Algorithms on Real-world Data: How Many Do We Need? has been accepted for publication in the Journal of Machine Learning Research. GitHub repository.
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| Mar 9, 2024 |
Together with my colleagues, we are organizing a workshop on Trustworthy decision-making at ECAI 2024. Please consider submitting contributions. Visit the workshop website for more information.
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| Dec 7, 2023 |
I was invited to present at EAISI AIMM Lab on utilizing transfer learning for industrial applications. Link to slides 👉 here
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| Nov 27, 2023 |
My master student, Igor Smit, won KHMW Young Talent Graduation Award for Data Science for his excellent Master thesis.
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| Jul 20, 2023 |
We won the competition “ML for evolutionary computation for solving VRPs” at GECCO 2023 with a local search approach guided by deep reinforcement learning. Proud of our PhD students!
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| Jun 6, 2023 |
Presented Out-of-Distribution Detection for Audio with Deep Nearest Neighbors at ICASSP2023. Code and paper 👉 https://zaharah.github.io/ood_audio/
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| Apr 11, 2023 |
Excited to share that our recent article on studying deep reinforcement learning to optimize water pipe rehabilitation policies has been accepted for publication in Neural Computing and Applications
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| Mar 24, 2023 |
Our paper on Out-of-Distribution Detection for Audio with Deep Nearest Neighbors has been accepted in ICASSP 2023.
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| Dec 7, 2022 |
Proud to share that my Master student wins Dow Best OML Master Thesis Award.
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| Oct 15, 2022 |
Paper accepted in IEEE SSCI 2022 Symposium. Deep Reinforcement Learning for Adaptive Parameter Control in Differential Evolution for Multi-Objective Optimization. Congratulation Robbert!
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| Sep 1, 2022 |
Are you interested in developing cutting-edge techniques from Deep Reinforcement Learning (DRL)? Do you seek to make an impact in the real world? We have an exciting PhD research position with the opportunity to research DRL-based planning methods of lifespan-extension measures for bridge and quay wall structures.
👉 More info
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| May 10, 2022 |
Happy to share that our research project STABILITY is funded. Excited to study multi-perspective planning for lifespan-extension measures for bridge and quay wall structures. Read breif introduction to the project here.
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| Feb 9, 2022 |
My paper as a sole author Contrastive sensor transformer for predictive maintenance of industrial assets is accepted for publication in one of oldest and prestigious conference of signal processing ICASSP 2022 . The paper proposed a novel approach for learning useful representations for robust fault identification without using task-specific labels.
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| Jan 30, 2022 |
Our paper Grouping of Maintenance Actions with Deep Reinforcement Learning and Graph Convolutional Networks , with our Master student David Kerkkamp as first author, has been accepted in ICAART 2022 . The paper is also received Best paper award.
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| Dec 4, 2021 |
Presented a poster of our work titled Maintenance planning framework using online and offline deep reinforcement learning at Women in Machine Learning workshop co-located with NeurIPS 2021.
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| Aug 18, 2021 |
Presented our paper BiNet: Bridge Visual inspection dataset and approach for damage detection at the 1st Conference of the European Association on Quality Control of Bridges and Structures – EUROSTRUCT2021.
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| Jul 1, 2021 |
Our paper Damage detection using in-domain and cross-domain transfer learning has been accepted for publication at the journal Neural Computing and Applications.
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| Mar 1, 2021 |
Excited to give invited talk at 3d Production days organized by design, production and maintenance central of Eindhoven region.
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| Mar 1, 2021 |
Our paper Deep reinforcement learning for rehabilitation planning of water pipes network has been accepted for at Adaptive and Learning Agents (ALA) 2021, co-located with AAMAS.
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| Feb 1, 2021 |
Presented our work about ProcessTransformer: Predictive Business Process Monitoring with Transformer Network at SEN21.
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| Jan 1, 2021 |
Started working as Assistant Professor at Information Systems group in Eindhoven University of Technology. Visit my institution page.
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