Teaching

Instructor — (Fall 2025)
ISE213 Industrial Engineering Lab, Rutgers University

• Designing and teaching labs introducing students to the conceptual and practical foundations of data analysis in industrial engineering.

• Covering topics including uncertainty, data storage and cleaning, visualization and communication of results, and algorithmic approaches for optimization and problem-solving.

• Integrating Excel, Python, and Tableau with real-world datasets from supply chains, production, and service operations.

• Emphasizing connections between theoretical concepts and professional practice, e.g., analyzing production data, evaluating service operations, and designing dashboards for supply chain performance.

• Defining and supervising student projects using real-world datasets, a core component of the course that fosters hands-on problem-solving and independent learning.

• A sample lecture note is available here: Lecture Note.
  
  

Teaching Assistant – Grader (Spring 2025, Spring 2026)
ISE210 Engineering Probability, Rutgers University

• Assisted in teaching an undergraduate probability course, supporting both grading and student learning.

• Identified common misconceptions and prepared clarifications to make abstract concepts more intuitive through real-world examples.

Teaching Assistant – Homework Session Leader and Grader  (Fall 2018 - Spring 2019)
Isfahan University of Technology

• Led problem-solving sessions, walked students through homework problems step by step, and graded assignments for multiple undergraduate courses:

  • Operations Research I (1 semester)

  • Operations Research II (2 semesters)

  • Principles of Accounting and Cost Accounting (1 semester)

• Helped students explore multiple solution approaches and clarified challenging concepts.

• Connected methods to real-world applications such as transportation scheduling, inventory control, and cost analysis for decision-making.