Mihhail Berezovski is a tenured Associate Professor of Mathematical Sciences and the Data Science track coordinator for the B.S. in Computational Mathematics program at Embry-Riddle Aeronautical University.
His research centers on two disciplines: computational mathematics for material science and data-enabled industrial mathematics.
His computational mathematics for material science research focuses on adaptive algorithms for numerical simulations of dynamic energy redistribution in advanced and new materials including spatio-temporal composites and micro-structured, multifunctional, and hierarchical metamaterials.
His new research interests include mathematical and statistical modeling, as well as numerical techniques and algorithms for data-enabled social studies and real-world industrial challenges.
He also devotes a significant amount of time and energy to different undergraduate educational programs aimed at fostering the next generation of cross-disciplinary data-enabled research with applications in business, industry, and government. He has successfully cooperated with several industrial partners on multiple initiatives involving undergraduate students.
The National Science Foundation has awarded a $360,000 grant to Dr. Mihhail Berezovski for the development of a Research Experiences for Undergraduates (REU) site. The REU site allows undergraduate students to participate in real-world research projects in data-enabled industrial mathematics. The NSF's Division of Mathematical Sciences financed the three-year award. It will support ten participants for nine weeks over the summer of each REU year, who will be guided by faculty members, industry mentors, and graduate students.
Mihhail is a rock star in the field of education. He infuses the classroom with enthusiasm and excitement. He is not hesitant to use new technology in the classroom, but it is mainly his style and sense of humor that keep his students engaged. He establishes rapport with students, and they respond to him. His excellent evaluations attest to this.