University of Cincinnati
ISE 4012: Probabilistic Systems Models (Fall 2025).
Topics: Optimization under uncertainty, decision analysis, game theory, Markov chains, queueing theory, dynamic programming, Markov decision processes.
Department of Mechanical and Materials Engineering, University of Cincinnati, Cincinnati, OH, USA.
ISE 3011: Deterministic Systems Models (Spring 2025).
Topics: Fundamental of linear algebra, operations research methodology and applications, linear programming problems and formulation, graphical solution approach, simplex algorithm, sensitivity analysis, integer programming, transportation and assignment problems, network problems, multicriteria decision models, and nonlinear programming. (Syllabus)
Department of Mechanical and Materials Engineering, University of Cincinnati, Cincinnati, OH, USA.
Lehigh University
ISE 364: Introduction to Machine Learning (Fall 2023).
Topics: Python for Data Analysis, Linear Regression, Cross Validation and Bias-Variance Trade-Off, Logistic Regression, K-Nearest Neighbors, Decision Trees and Random Forests, Support Vector Machines, K-Means Clustering, PCA, Natural Language Processing, Neural Nets, and Deep Learning. (Syllabus)
Department of Industrial and Systems Engineering, Lehigh University, Bethlehem, PA, USA.
DSCI 311: Optimization and Mathematical Foundations for Data Science (Summer 2023).
Topics: Most fundamental tools from calculus, linear algebra, probability, statistics, convex analysis, and optimization; Unsupervised/supervised learning problems, PCA, maximum likelihood estimation, linear and logistic regression, support vector machines, and neural network training. (Syllabus)
Department of Industrial and Systems Engineering, Lehigh University, Bethlehem, PA, USA.
ISE 444: Optimization Methods for Machine Learning (Spring 2023).
Topics: Optimization models in data science, convexity and nonsmooth calculus, stochastic gradient methods, subgradient and proximal gradient methods, noise reduction methods, second-order methods. (Syllabus)
Department of Industrial and Systems Engineering, Lehigh University, Bethlehem, PA, USA.
ISE 230: Introduction to Stochastic Models in Operations Research (Spring 2022).
Topics: Optimization under uncertainty, decision analysis, game theory, Markov chains, queueing theory, dynamic programming, Markov decision processes. (Syllabus)
Department of Industrial and Systems Engineering, Lehigh University, Bethlehem, PA, USA.
SAPIENZA University of Rome
Teaching Assistant, Mathematics Course (Spring-Fall 2018).
Department of Methods and Models for Economics, Territory, and Finance, Sapienza University of Rome, Rome, Italy.
Lectures on AMPL and applied models in Operations Research (Spring 2018).
Department of Computer, Control, and Management Engineering, Sapienza University of Rome, Rome, Italy.