Bulent Yener

Bulent Yener

Professor, Computer Science

Research Expertise
Modeling, AI/ML, algorithms
Research

My current research interests include applied machine learning in bioinformatics, medical informatics, and cyber security.

Publications

Baskaran, A., Kautz, E.J., Chowdhary, A., Ma, W., Yener, B. and Lewis, D.J., 2021. Adoption of Image-Driven Machine Learning for Microstructure Characterization and Materials Design: A Perspective. JOM, 73(11), pp.3639-3657.

Kautz, E., Ma, W., Baskaran, A., Chowdhury, A., Joshi, V., Yener, B. and Lewis, D., 2021. Image-driven discriminative and generative methods for establishing microstructure-processing relationships relevant to nuclear fuel processing pipelines. Microscopy and Microanalysis, 27(S1), pp.2128-2130.

Ma, W., Kautz, E.J., Baskaran, A., Chowdhury, A., Joshi, V., Yener, B. and Lewis, D.J., 2020. Image-driven discriminative and generative machine learning algorithms for establishing microstructure–processing relationships. Journal of Applied Physics, 128(13), p.134901.

Kautz, E., Ma, W., Jana, S., Devaraj, A., Joshi, V., Yener, B. and Lewis, D., 2020. An image-driven machine learning approach to kinetic modeling of a discontinuous precipitation reaction. Materials Characterization, 166, p.110379.

Chowdhury, A., Kautz, E., Yener, B. and Lewis, D., 2016. Image driven machine learning methods for microstructure recognition. Computational Materials Science, 123, pp.176-187.

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