Teaching

Smart Immersive Modeling

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My courses integrate rigorous engineering foundations with data science, immersive technologies, and project-based learning—preparing students to analyze complex systems, build intelligent models, and design next-generation digital and cyber-physical systems.

Currently Offered Courses

BE 2100

Basic Engineering Statistics

A hands-on introduction to probability and statistics for engineers, emphasizing data visualization, variability, estimation, hypothesis testing, and real-world interpretation for engineering decision-making.

Foundations
Inference
Visualization

IE 4250

Engineering Data Analysis

Applied statistical modeling for engineers, including regression, ANOVA, diagnostics, and experimental thinking, with strong emphasis on translating analytics into engineering insights.

Regression
ANOVA
Diagnostics

IE 6020

Immersive Modeling and Digital Twinning

Design and development of VR/AR/MR systems and Digital Twins, covering immersive interaction, human factors, and real-time data integration for training, simulation, and decision support.

XR
Digital Twins
Human Factors

IE 8950

Data Science and Statistics

Advanced integration of statistical reasoning and modern data science, focusing on exploratory analysis, predictive modeling, evaluation, and uncertainty for complex engineering datasets.

EDA
Prediction
Evaluation

Previously Taught Courses

IE 6510

Information Systems in Manufacturing Enterprise

Enterprise information systems for manufacturing, covering integration, data management, and system architectures to support lean operations and digital manufacturing workflows.

Enterprise Systems
Manufacturing
Integration

DSA / DSB / DSE 7500

Practicum

Industry-facing analytics capstone emphasizing end-to-end project delivery, stakeholder engagement, reproducible pipelines, and actionable data-driven solutions.

Capstone
Industry
Applied Analytics