Dr. Huseyin Ucar is a Visiting Assistant Professor in the Machine Learning Department at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI).

Dr. Ucar received his Ph.D. in materials science and engineering from Carnegie Mellon University in Pittsburgh, Pennsylvania followed up with a two-year post doctorate at Oak Ridge National Laboratories in Knoxville, Tennessee in the United States of America. He holds a patent in surface modification of permanent magnets through his research at Oak Ridge National Labs. Following my post doctorate, I accepted an Assistant Professor position at Florida Polytechnic University in Lakeland, FL. He is currently an Associate Professor at California Polytechnic University in Pomona, CA. As the recipient of a Fulbright Scholar award this academic year, he will be conducting research with Dr. Martin Takac at MBZUAI.

Dr. 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.