F229BD06-FD1C-2908-B10829FCD3F82234
1F1D40D9-C2F4-C736-4CC6316A3D327599

Tural Sadigov


Tural Sadigov
Tural Sadigov

Visiting Assistant Professor of Mathematics and Statistics

Christian A. Johnson 107

Tural Sadigov’s current professional interests include probability, statistics, machine learning, and time series analysis.

Joining Hamilton College as a lecturer of statistics, Sadigov also holds the position of an applied mathematics lecturer and is mathematics service coordinator at the State University of New York Polytechnic Institute.

He has a doctorate with a concentration in applied mathematics and a master’s in mathematics from Indiana University at Bloomington, and a bachelor’s degree in mathematics from Bogazici University in Istanbul.

Sadigov has taught various undergraduate and graduate courses including probability, statistics, calculus series (differential, integral, and multivariable), various differential equations courses, linear algebra, complex analysis, and mathematical modeling.

Recent Courses Taught

Statistical Analysis of Data
Regression and Analysis of Variance
Introduction to Probability
Applied Probability
Practical Time Series Analysis
Calculus 1 - Differential Calculus
Calculus 2 - Integral Calculus
Calculus 3 - Multivariable Calculus
Differential Equations
Partial Differential Equations
Nonlinear Partial Differential Equations
Linear Algebra
Mathematical Modeling
Complex Variables and their Applications

Distinctions

  • Student Government at Utica Award for Excellence in Teaching, 2018-19
  • Grant from Coursera, 2016
  • Bronze medal in 44th International Mathematical Olympiads, Tokyo, Japan, 2003
  • Participation in 43rd International Mathematical Olympiads, Glasgow, Scotland, 2002
  • Gold medal in Azerbaijan Republic Mathematical Olympiad, 2000, 2001, 2002, 2003

Select Publications

  • “A determining form for the subcritical surface quasi-geostrophic equation: Modal case.” Michael S. Jolly, Vincent Martinez, Tural Sadigov and Edriss S. Titi, Journal of Dynamics and Differential Equations, 2018.
  • “Determining form and data assim­ilation algorithm for damped and driven Korteweg de Vries equation- Fourier modes case.” Michael S. Jolly, Tural Sadigov and Edriss S. Titi, Nonlinear Analysis: Real World Applications, 36, 287-317, 2017.
  • “A determining form for the damped driven Nonlinear Schrodinger Equation-Fourier modes case.” Michael S. Jolly, Tural Sadigov and Edriss S. Titi, Journal of Differential Equations, 258(8), 2711-2744, 2015.

Appointed to the Faculty: 2019

Educational Background

Ph.D., Indiana University, Bloomington
M.A., Indiana University, Bloomington
B.S., Bogazici University

Back to Top