LANS Seminar

Seminar Title: Research Projects in Data-Enabled Industrial Mathematics
Speaker: Mihhail Berezovski, Associate Professor, Embry-Riddle Aeronautical University

Date/Time: March 15, 2023 / 10:30 AM – 11:30 AM
Location: See meeting URL on the cels-seminars website (requires Argonne login)

Host: Sven Leyffer

Description: Increasingly, industries hiring mathematicians want their new hires to have experiences that extend beyond the classroom. Therefore, offering students the opportunity to participate in nontraditional activities during the academic year is a plausible and attractive option for many students.

In this talk, we will discuss the challenges of bringing collaboration with real business, industry, or government (BIG) into academia. We will talk about the experience of mentoring undergraduate students in multiple data-enabled research projects, based on original real-world problems provided directly by businesses and industry. We highlight differences and challenges compared to traditional research. We will discuss examples of such collaborations.

We will address the lessons we learned from these activities, such as quantitative analysis of student exit surveys, significant outcomes, and structural analysis of research projects. Our study is based on over 50 major projects with 12 different companies, businesses, and government labs involving over 150 undergraduate students.

Bio:  Dr. Mihhail Berezovski is a tenured Associate Professor of Mathematical Sciences and program coordinator for the Data Science track within the Bachelor of Science in Computational Mathematics program at Embry-Riddle Aeronautical University. His research focuses on applied data science in industrial mathematics, data-driven computational mathematics, and STEM education. His primary research interests include novel data science methods and techniques applied to practical problems in collaboration with industrial partners and professionals from other disciplines. His research agenda is linked to the STEM education plan, with the primary goal of fostering data literacy skills in students and educators at all levels. For the past decade, he has been a frontrunner in data science applications in domain sciences, and effective cross-disciplinary and cross-sector engagement strategies. He implemented sustainable and successful model that provides students with an opportunity to perform applied data science research by exposing them to problems outside of academia. The overarching learning goal is that the students will have the capability to conduct authentic data-enabled research, based on original real-world problems provided directly by businesses and industry. His innovative approaches are aimed at empowering and motivating students from historically underrepresented groups in STEM to engage in undergraduate research. He is a graduate of the Tallinn University of Technology where he spent several years in the Institute of Cybernetics.

Please note that the meeting URL for this event can be seen on the cels-seminars website, which requires an Argonne login.