Developed a PDE model to simulate moisture diffusion in concrete with complex boundary conditions and spatial/time dependent sink terms. The model was solved analytically and numerically in MATLAB, and the results were verified by ~5,000 experimental data points. This model was used for IDOT’s Bridge Design and lowered deck cracking by up to 20%.

• Training teaching assistants to perform laboratory tests in a course setting for engineering students,• Leading lab and discussion groups for students,• Overseeing/coordinating the work of other teaching assistants.

Developed a statistical model to optimize closed-loop reverse supply chain using multiple features such as defective rate, remanufacturing time, time-value of money, etc. Optimum defective rate was predicted using the developed model with 97% accuracy for any type of demand.

Developed an automated multi-criteria Exponential Placement Model (EPM) for materials selection. The proposed Model reduced human error by automating feature selection and normalization.