From “Two SBU Adjuncts Receive SUNY Chancellor’s Award for Excellence” on Stony Brook News on January 24, 2019
Maria Brown, from the Sustainability Studies Program in the School of Marine and Atmospheric Sciences (SoMAS), and Dmitri Gavrilov, from the Department of Electrical and Computer Engineering in the College of Engineering and Applied Sciences, have been awarded the SUNY Chancellor’s Award for Excellence in Adjunct Teaching for the academic year 2018-2019.
The Chancellor’s Award for Excellence in Adjunct Teaching recognizes consistently superior teaching at the graduate, undergraduate or professional level in keeping with SUNY’s commitment to providing its students with instruction of the highest quality.
“This award’s rigorous selection criteria ensures that those faculty members who have consistently demonstrated superb skill in teaching receive this distinction,” said SUNY Chancellor Kristina M. Johnson. “Your mastery of teaching, dedication to students, adherence to the highest academic standards, and continued professional achievements are reflected in your election for this honor. This nomination underscores the respect and esteem of your colleagues, students, and campus leadership for your professional accomplishments.”
Maria Brown is a certified professional in Geographic Information Systems and has taught courses through the SoMAS Geospatial Center at Stony Brook University since 2011. Her research interests include spatial ecology with her most recent work focused on neotropical bats in the Peruvian Amazon as well as spatial data resolution for the Global Bat Taxonomy Working Group. Maria also provides training workshops in Mobile Geospatial Technologies and ArcGIS Online to K-12 teachers, NGO’s and local conservation organizations on Long Island at Brookhaven National Laboratory.
Dmitri Gavrilov is a senior research scientist at Center for Advanced Sensor Technologies at Stony Brook University. His research interests are in the fields of signal processing and machine learning. He is teaching undergraduate and graduate level courses in the areas of signal processing, control systems and embedded programming.