CV
Education
Research
- Scientist, Information Sciences, Los Alamos National Laboratory
- Project Leader / Principal Investigator:
- Uncertainty quantification for robust machine learning
- Visual data analytics tools
- Image analysis using graphs
- Applications of machine learning projects include learning image analysis, ChemCam spectroscopy data analysis, malware characaterization, and other scientific data analysis problems.
- Postdoctoral Research Associate, Space Data Science and Systems, Los Alamos National Laboratory
- Interactive machine learning for ChemCam data analysis, image analysis and satellite system state-of-health anomaly detection.
Recent Publications
- Generative Structured Normalizing Flow Gaussian Processes Applied to
Spectroscopic Data. (2022). AAAI Workshop on AI to Accelerate Science and Engineering (AI2ASE) [Best Paper Award].
- Kucer, M., Oyen, D., Castorena, J., & Wu, J. (2022). DeepPatent: Large scale patent drawing recognition and retrieval. Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision.
- Oyen, D., Kucer, M., & Wohlberg, B. (2021). VisHash: visual similarity preserving image hashing for diagram retrieval. Applications of Machine Learning 2021.
- Kontolati, K., Klein, N., Panda, N., & Oyen, D. (2021). Neural density estimation and uncertainty quantification for laser induced breakdown spectroscopy spectra. ArXiv Preprint ArXiv:2108.08709.
- Banesh, D., Panda, N., Biswas, A., Van Roekel, L., Oyen, D., Urban, N., Grosskopf, M., Wolfe, J., & Lawrence, E. (2021). Fast Gaussian Process Estimation for Large-Scale In Situ Inference using Convolutional Neural Networks. IEEE International Conference on Big Data.
- Wang, Y., Oyen, D., Guo, W. G., Mehta, A., Scott, C. B., Panda, N., Fernández-Godino, M. G., Srinivasan, G., & Yue, X. (2021). StressNet: Deep learning to predict stress with fracture propagation in brittle materials. Npj Materials Degradation, 5(1), 1–10.
- Castorena, J., Oyen, D., Ollila, A., Legget, C., & Lanza, N. (2021). Deep Spectral CNN for Laser Induced Breakdown Spectroscopy. Spectrochimica Acta Part B: Atomic Spectroscopy.
- Fernandez-Godino, M. G., Panda, N., O’Malley, D., Hickmann, K. S., Oyen, D. A., Haftka, R. T., & Srinivasan, G. (2020). Flyer Plate Continuum Simulations Informed with Machine Learning Crack Evolution. AIAA Scitech 2020 Forum.
Teaching
- How to Lie with Statistics: Uses and Misuses of Numbers in Argument
- Honors 302-005, University of New Mexico, 2013
- See website
Service and Leadership
- Co-organizer, Applied Machine Learning Summer Research Fellowship (AML)
- Program committee member of AAAI, ICML, NIPS, IJCAI, UAI, AIStats, others