Huseyin Ucar
Visiting Assistant Professor of Machine Learning
Research interests
Professor Ucar’s research interests involve design and discovery of magnetic materials for energy and biomedical applications. He develops robust machine learning models that can be used to guide experimental colleagues in a data-driven manner rather than guesswork; hence, speeding up the discovery of advanced magnets. This will impact clean-energy applications where permanent magnets are used as well as magnetic refrigeration and cancer thermotherapy. He aspires to employ (i) transfer learning and (ii) text mining strategies to tackle issues within the materials informatics field. Email
Prior to joining MBZUAI, Professor Ucar received his Ph.D. in materials science and engineering from Carnegie Mellon University in Pittsburgh, Pennsylvania followed by a two-year post doctorate at Oak Ridge National Laboratories in Knoxville, Tennessee. Professor Ucar holds a patent in surface modification of permanent magnets through his research at Oak Ridge National Labs. Professor Ucar was Assistant Professor at Florida Polytechnic University in Lakeland, FL. He is currently an Associate Professor at California Polytechnic University in Pomona, CA. And was the recipient of a Fulbright Scholar award.
- Postdoc. in material science from Oak Ridge National Lab
- Ph.D. in materials science and engineering from Carnegie Mellon University
- Master’s in materials science and engineering from Carnegie Mellon University
- Recipient of the U.S. Department of Energy, Visiting Faculty Fellowship (2019-2022)
- The Best Teacher award-Florida Polytechnic University (2016)
- John-Claire Bertucci Graduate Fellowship award-Carnegie Mellon University (2013)
- Ensign, B., Choudhary, R., Ucar, H., & Paudyal, D. (2020). Electronic structure, magnetic properties, and exchange splitting of gadolinium intermetallics. Journal of Magnetism and Magnetic Materials, 509, 166882.
- Ucar, H., Paudyal, D., & Choudhary, K. (2022). Machine learning predicted magnetic entropy change using chemical descriptors across a large compositional landscape. Computational Materials Science, 209, 111414.
- Ucar, H., & Paudyal, D. (2021). Unraveling Site Selective Magnetic Properties of Cobalt Sites in Critical Elements Lean RE (TM)5Magnet Materials. JOM, 73(12), 3894-3900.
- Ucar, H., Paudyal, D., & Boyraz, O. (2020). Using numerical methods to screen magnetocaloric materials in an active magnetic regenerative cycle. International Journal of Refrigeration, 120, 50-57.
- Ucar, H., Choudhary, R., & Paudyal, D. (2020). Substitutional and interstitial doping in LaCo5 system for the development of hard magnetic properties: A first principles study. Journal of Alloys and Compounds, 836, 155263.
- Ucar, H., Choudhary, R., & Paudyal, D. (2020). An overview of the first principles studies of doped RE-TM5 systems for the development of hard magnetic properties. Journal of Magnetism and Magnetic Materials, 496, 165902.