Amarsagar Matavalam
Assistant Professor at Arizona State University
Tempe, Arizona, United States
Summary
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Senior🎓
Top SchoolAmarsagar Matavalam is an assistant professor and power systems researcher with eight years of experience developing data-driven tools to monitor and control grid stability across timescales. He combines expertise in dynamical systems, machine learning, and real-time analytics of synchrophasor data to quantify renewable impacts and diagnose causes of instabilities, enabling higher renewable penetration. His work spans academia and industry—from DOE-funded projects and a top-ranked reinforcement learning entry in the L2RPN challenge to a patent arising from synchrophasor work at Alstom—demonstrating an ability to translate theory into operator-facing solutions. Based in Tempe, he leverages deep knowledge of grid operations alongside novel ML approaches, including extremely sparse neural architectures, to make high-dimensional inference tractable in operational settings.
8 years of coding experience
11 years of employment as a software developer
Indian Institute of Technology MadrasDoctor of Philosophy - PhD, Electrical and Electronics Engineering, Doctor of Philosophy - PhD, Electrical and Electronics Engineering at Iowa State University
Github Skills (54)
delay8
stochastic-processes8
dde8
dynamical-systems8
stochastic8
ode7
ssreflect7
numerical-integration7
r7
differential-equations7
derivative7
sbml7
stochastic-differential-equations7
julia7
delay-differential-equations6
Programming languages (3)
Github contributions (5)
amar-iastate/L2RPN-using-A3C
Jul 2019 - Jul 2019
Contributions:12 commits, 9 pushes in 4 days
amar-iastate/resume
Sep 2018 - Oct 2018
Contributions:12 pushes, 1 branch in 1 month
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