Teaching

Update: Unit-1 Slides are updated! Introduction to AI for Civil Engineering explores how artificial intelligence can improve planning, design, construction, and infrastructure management through data-driven decision-making. The course covers AI fundamentals, statistics, machine learning workflows, and real-world applications in transportation, geotechnical, structural, environmental, and water resources engineering. Students develop practical skills in analyzing engineering data, building predictive models, and critically evaluating AI solutions for civil engineering challenges. Slides Unit-00: Introduction and Evaluation Schemes Unit-01: Foundations of AI in Civil Engineering Unit-02: Statistics and Exploratory Data Analysis Basin Plots in R for EDA Data Cleaning and Outlier identification Regression_Analysis and Model Fitting Identifying Feature Relationships in Data Case study with Superstore dataset Unit-02: Exploratory Data Analysis-Handouts NEW Unit-03: Machine Learning Workflows and Evaluation NEW Assignments Deadline: 30 October 2026...

The collection of slide of the subject I teach to undergraduate students. S0: Introduction and Handout S1: Basics of Remote Sensing S2: Remote sensing resolutions S3: Digital Image processing S4: Introduction to Geographical information systems

S1: Drone Introduction and Classification S2: Drone Introduction and Classification S3: Remote Sensing and Photogrammetry S4: Geographical Information System and Drone Data Collection S5: Drone Parts, Flight Planning and Tools