Rajasekhar Anguluri
Postdoc @ Arizona State University. Brews simple math from engineered systems
I’m interested in how engineering systems work at the deepest levels, which steers me to do research in systems theory. My current research identifies situations where estimation, identification, and control problems in large-scale systems (e.g., power and mechanical systems) can be solved using data science methods with theoretical guarantees. Situations:
- estimation and control
- sparse state and input estimation in dynamical systems
- controllability of coarse dynamical systems
- structured system identification
- structure learning in graphical models
- attack design and detection in network systems
- applications to power systems
- parameter estimation in low-inertia systems
- topology learning in distribution grids
- oscillations and cyber-attack detection/localization/mitigation in bulk systems
Academic roots: I’m Postdoc-ing in the School of ECEE at Arizona State University, where I work with Lalitha Sankar, Oliver Kosut, and Gautam Dasarathy. I received a PhD in Mechanical Engineering from University of California, Riverside. My thesis (security of stochastic dynamical systems) supervisor was Fabio Pasqualetti. At UC Riverside, I took a bunch of courses in Statistics and earned an MS degree, but I remember only 51.32% of the course material.
In my free time, I either listen to audiobooks on philosophical aspects of ethics and science or remember my early adolescent memories or think about the dense hair I had ages ago. If you like to chat, drop me a line via email.
news
Oct 20, 2022 | Research Grant. Mistletoe Research Fellowship. Momental Foundation, $10,000, June 2022 - June 2023 ![]() |
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Oct 9, 2022 | Our paper on inertia and damping estimation in low-inertia power systems has been accepted at NAPS 2022 ![]() |
Sep 14, 2022 | Our paper on structure learning in high-dimensional networks has been accepted at NeurIPS 2022![]() |
Jul 17, 2022 | I presented a poster at the PES General Meeting about Complex-valued LASSO for Forced Oscillation Localization ![]() |
Dec 15, 2021 | I presented our work on Distribution Networks Topology Estimation under Hidden Nodes at the IEEE CDC ![]() |