TEACHING

From Fall 2019 to the present, as a TA at the University of Miami I have taught classes as a lead instructor and have assisted in teaching some other classes. In this position, my primary focus was to assist students in developing crucial technical skills, such as programming and utilizing simulation tools like ARENA. Additionally, I provided guidance on statistical modeling and optimization software, essential for Industrial Engineers.

ISE: 512/612: Statistical Quality Management

Semester: Fall

Offered: 2020, 2021, 2022
Role: Lead Instructor

This course addresses the concepts, theories, tools, and methodologies employed in the management and improvement of quality. The course examines many of the advanced topics in statistical quality control including control charts, process capability studies, acceptance sampling, and Quality Function Deployment (QFD). Also covered in the course are Lean Six Sigma methodology, tools, and concepts. 

ISE 201: Methods Analysis and Work Measurements

Semester: Spring, Fall

Offered: 2020,
Role: Assistant

This course shows the design of improved methods for doing work based on effective human effort. Time standardization of productive operations by work measurement, predetermined time systems, and activity sampling are discussed. Labor estimation techniques will be discussed. Tools and charts for methods analysis are discussed and the use of Microsoft Visio and Microsoft Excel is emphasized and reviewed. 

ISE 380: Engineering Economy

Semester: Fall

Offered: 2019
Role: Assistant

This course explores engineering economy fundamentals. Interest and money-time relationship, methods of making economic decisions, risk and uncertainty, and sensitivity analysis. In addition, analysis includes selections among multiple alternatives, depreciation, after tax analysis, benefit-cost analysis, replacement studies, cost analysis techniques. 

ISE 494/694/794: Senior Design/Masters Project

Semester: Spring, Fall

Offered: 2019, 2020, 2021, 2022, 2023
Role: Lead Mentor

This course includes the integration of Industrial and Systems Engineering principles and techniques in the design and improvement of production and service systems. Included in the course is a culminating design experience with the preparation of a project proposal, data collection, analysis, comprehensive final report, and formal presentations to stakeholders.

 
Mentored over 30 projects conducted in collaboration with Industrial partners, listing some of them below:

• Ryder maintenance appointments success rate predictive modelling (Role: Lead)
• FPL smart node streetlight tickets generation analytical project (Role: mentor)
• FPL pole failure prediction modeling (Role: mentor)
• Ryder dynamic pricing modeling for used vehicles sales (Role: mentor)
• Optimizing cruise line customers’ compensation based on historical gambling data (Role: mentor)
• Bascom Palmer operating room scheduling optimization (Simulation-based optimization) (Role: mentor)

ISE 547: Simulation Modeling and Systems Analysis

Semester: Spring

Offered: 2020, 2021
Role: Assistant

The objective of this course is to develop student's ability to model real systems and carry out effective and successful analysis of these systems using discrete event simulation. In this course, students will learn the basic concepts and algorithms of modeling and analysis. Students will get familiar with (1) formulating an appropriate simulation model for a system, (2) implementing the model as a computer program, and (3) evaluating the output of the model. Theoretical topics include random variable generation, model verification and validation, statistical input and output analysis.

EGN 114: Global Challenges Addressed by Engineering and Technologys

Semester: Fall

Offered: 2021
Role: Assistant

This course covers historical aspects and current topical areas being worked on by engineers including climate change, space exploration, medicine, energy and environment, pandemics, and disasters. The class will also highlight through case studies the important fundamentals necessary, along with the interdisciplinary reach to humanities, social sciences, and communication. Topics such as inclusion and diversity, and ethical issues will also be woven through the topics. This course is designed to appeal to students in engineering and other majors and will encourage a collaborative and multi-disciplinary approach to understanding and resolving global challenges. Students taking this course will be able to fine-tune their understanding of the ways in which engineering can contribute to the greater good of humanity.