Summary
Dr. Gumus is a teaching associate professor in the Department of Mathematics and Statistics at the University of Nevada, Reno. He received his Ph.D. in Mathematics from Southern Illinois University Carbondale in 2017. Prior to joining the University of Nevada, Reno in 2019, Dr. Gumus worked as a Visiting Assistant Professor in the Department of Mathematics and Statistics at Auburn University. His primary research interests are in linear algebra, matrix computations, and machine learning.
Research interests
- Linear algebra
- Matrix computations
- Machine learning
Courses taught
- MATH 126: Pre-Calculus I
- MATH 127: Pre-Calculus II
- MATH 181: Calculus I
- MATH 283: Calculus III
- MATH 330: Linear Algebra
- MATH 736: Numerical Linear Algebra
- STAT 152: Introduction to Statistics
- STAT 352: Probability & Statistics
Education
- Ph.D., Mathematics, Southern Illinois University Carbondale, 2017
- M.S., Mathematics, Koc University, Turkey, 2011
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B.S., Mathematics, Koc University, Turkey, 2009
Selected publications
- M Arifuzzaman, M Bhuiyan, M Gumus, E Arslan, Be SMART, Save I/O: A probabilistic approach to avoid uncorrectable errors in storage systems, IEEE International Conference on Cluster Computing (CLUSTER), (2022), 256-266.
- X Fu, M Gumus, Trace inequalities involving positive semi-definite block matrices, Linear and Multilinear Algebra 70 (20), (2022), 5987-5994
- S. Simsek, M. Gumus, M. Khalafalla, T. B. Issa, A hybrid data analytics approach for high-performance concrete compressive strength prediction, Journal of Business Analytics, 3(2), (2020), 158-168.
- M Gumus, J Liu, S Raouafi, TY Tam, On positive partial transpose matrices, Electronic Journal of Linear Algebra 36, (2020), 256 - 264