**Assistant in Instruction, Princeton University**

**ORF 523: Convex and Conic Optimization ( Course website)**

(Spring 2019, Instructor: Amir Ali Ahmadi)

Convex analysis, Duality, Theorems of alternatives and infeasibility certificates, Semidefinite programming, Polynomial optimization, Sum of squares relaxation, Robust optimization, Computational complexity, Convex relaxations in combinatorial optimization.

**MAT 375: Introduction to Graph Theory**

(Spring 2018, Instructor: Maria Chudnovsky)

Connectivity, Spanning trees, Shortest paths, Euler’s theorem and Hamilton cycles, Bipartite graphs, Menger’s theorem, Digraphs and network flows, Matchings and Tutte’s theorem, Series-Parallel graphs, Planar graphs, Kuratowski’s theorem, Stable sets and cliques, Graph coloring.

**ORF 363: Computing and Optimization ( Course website)**

(Fall 2017, Fall 2018, Fall 2019, Instructor: Amir Ali Ahmadi)

Unconstrained optimization, Convex optimization, Support vector machines, Gradient descent methods, Lyapunov functions in proving convergence, Nonlinear least squares and the Gauss-Newton algorithm, Conjugate direction methods, Leontief economy, Linear programming, Duality, Robust linear programming, Semidefinite programming and its relaxations for nonconvex optimization, Computational complexity theory, Limits of computation.

**Teaching Assistant, Bogazici University**

**IE 598: Advanced Graph Theory**

(Spring 2016, Instructor: Tinaz Ekim)

Perfect Graphs, Triangulated Graphs, Comparability Graphs, Permutation Graphs, Interval Graphs, Ramsey Theory for graphs.

**IE 587: Optimal Control Theory**

(Spring 2016, Instructor: Mustafa Akan)

The basics of dynamic optimization theory with applications in Economics, Calculus of Variations, Optimal Control Theory.

**IE 456: Graph Algorithms and Applications**

(Fall 2015, Instructor: Tinaz Ekim)

Basic notions in graphs, Eulerian and Hamiltonian graphs, Network Flows, Matching Theory, Coloring problems.

**IE 440: Nonlinear Models in Operations Research**

(Fall 2015, Instructor: Kuban Altinel)

Convexity, Unconstrained nonlinear optimization, Constrained nonlinear optimization, Neural networks, Supervised learning and back propagation algorithm, Unsupervised learning and self-organizing maps, Machine Learning, Support vector machines.

**Student Assistant, Bogazici University**

**IE 456: Graph Algorithms and Applications**

(Fall 2013, Fall 2014, Instructor: Tinaz Ekim)

Basic notions in graphs, Eulerian and Hamiltonian graphs, Network Flows, Matching Theory, Coloring problems.

**MAT 162: Discrete Mathematics**

(Spring 2013, Instructor: Ozlem Beyarslan)

Recursion, Counting, Discrete Probability, Advanced Counting Techniques, Relations, Graphs, Trees.