Hello,
I'm a PhD candidate at Fraunhofer SCAI and the University of Bonn, under the supervision of Prof. Dr. Vahid Babaei. Previously, I was a PhD candidate at the Max Planck Institute for Informatics, also supervised by Vahid. My current research interest explores how domain expertise can be integrated into machine learning systems to improve performance in data-scarce domains like drug discovery and materials science.

I earned my M.S. in Robotics from KAIST, supervised by Prof. Seung-Hyun Kong, and my B.Sc. in Electrical Engineering from Bandung Institute of Technology.

Publications

  • Bayesian Post Training Enhancement of Regression Models with Calibrated Rankings K.T. Wijaya, B. Hu, H-P. Seidel, W. Matusik, V. Babaei International Conference on Learning Representations (ICLR), 2026
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  • Post Hoc Regression Refinement via Pairwise Rankings K.T. Wijaya, M. Sun, M. Guo, H-P. Seidel, W. Matusik, V. Babaei Neural Information Processing Systems (NeurIPS), 2025
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  • Two‑Stage Pretraining for Molecular Property Prediction in the Wild K.T. Wijaya, M. Guo, M. Sun, H-P. Seidel, W. Matusik, V. Babaei International Conference on Machine Learning (ICML) Workshop, 2025
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  • Trustworthy Inverse Molecular Design via Alignment with Molecular Dynamics K.T. Wijaya, N. Ansari, H-P. Seidel, V. Babaei Advanced Science, 2025
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  • Differentiable Search Based Halftoning E. Luci, K.T. Wijaya, V. Babaei Computer Graphics Forum, 2025
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  • K‑Radar: 4D Radar Object Detection for Autonomous Driving in Various Weather Conditions D.H. Paek, S.H. Kong, K.T. Wijaya Neural Information Processing Systems (NeurIPS), 2022
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  • K‑Lane: Lidar Lane Dataset and Benchmark for Urban Roads and Highways D.H. Paek, S.H. Kong, K.T. Wijaya Conference on Computer Vision and Pattern Recognition (CVPR) Workshop, 2022
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Misc

I spend most of my free time traveling, gaming, or brewing tea. Bangkok and Taipei are my favorite cities to visit, and I’m a fan of Stellaris (with over 3,700 hours logged). I’m also a particular fan of roasted green tea and jasmine.