Kalvik Jakkala is a postdoctoral researcher with a decade of experience at the intersection of machine learning and robotics, currently developing path-planning algorithms for autonomous underwater vehicles to enable efficient infrastructure inspection and environmental monitoring. He holds a PhD and MS in Computer Science from UNC Charlotte and brings practical industry experience from a GE Research internship where he created SWaP-optimized Bayesian methods for explaining DNN predictions and quantifying uncertainty. Kalvik combines rigorous academic research with hands-on system design for resource-constrained platforms, focusing on sensor placement and informative path planning in challenging marine environments. Based in College Station, Texas, he blends teaching experience and applied research to translate theoretical advances into deployable autonomy solutions for real-world inspections.
10 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of North Carolina at Charlotte
Bachelor's degree, Computer Science, 3.45, Bachelor's degree, Computer Science, 3.45 at Wichita State University
Contributions:5 commits, 3 pushes, 1 branch in 1 year 8 months
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Kalvik Jakkala - Postdoctoral Researcher at Texas A&M University