Krishna Kumar
Krishna Kumar is an Assistant Professor in the Civil, Architecture, and Environmental Engineering at the University of Texas at Austin. Krishna’s work involves developing exascale micro and macro-scale numerical methods for modeling natural hazards. Krishna also develops Scientific Machine Learning algorithms: Graph Network Simulators and Differentiable programming to accelerate numerical methods and solve optimization, design, and inverse problems.
Initiative
Teaching Engineering through Murder Mysteries and Personalized AI Tutor
CE 357: Introduction to Geotechnical Engineering is a third year required undergraduate course that has traditionally been a challenging course for students due to its abstract nature. The average course rating for CE 357 is 3.8 in the last twenty years. I have successfully transformed the lecture modules to achieve a significant increase in interest and students’ performance in the course. Although preliminary work looks promising, I want to scientifically evaluate the effectiveness of the course and publish the findings.
Impacts
CSE Grant
Dr. Berkin Dortdivanlioglu and I (Krishna Kumar) received a grant from the Cockrell School of Engineering to use AI for persoanlized tutors in our introduction to programming course. We have since built a personalized tutor for this course and is available for student privately. We are in the process of making the tutor public through TACC