Aranya Chakrabortty

Brief Biography

BE in Electrical Engineering, Jadavpur University, Calcutta, India, 2004
Research Student, Indian Institute of Technology (IIT) Kharagpur, Summer 2003
MS in Electrical Engineering, Rensselaer Polytechnic Institute, 2005.
PhD in Electrical Engineering, Rensselaer Polytechnic Institute, 2008 (thesis advisors: Dr. Murat Arcak & Dr. Joe H. Chow)
Postdoctoral Research Associate, Aeronautics & Astronautics Department, University of Washington, Seattle, 2008-2009
Assistant Professor, Electrical & Computer Engineering, Texas Tech University, 2009-2010
Assistant Professor, Electrical & Computer Engineering, NC State University, 2010-2015
NSF CAREER Award, 2011
Associate Professor, Electrical & Computer Engineering, NC State University, 2015-2020
Professor, Electrical & Computer Engineering, NC State University, 2020-present
Program Director, US National Science Foundation (NSF), 2020-present

My CV can be found here.

Distributed reinforcement learning and control – TCNS21, LCSS21
Co-designs of communication and control in CPS – Automatica 2022, Automatica 2020, Video link
Control of power systems with distributed energy resources – CSM
Model reduction based model-free wide-area control – TSG21
Clustering and model-reduction-based wide-area control – IET20, TCNS 2019
Graph Theory in power systems – IEEE Proc
Distributed wide-area control of power systems using sparsity promoting methods–ACC1, ACC2
Distributed optimization for wide-area oscillation monitoring – TSG CPS 1, TSG CPS 2
Experiments on wide-area monitoring and control using our Exo-GENI WAMS network testbed – paper
Microgrid Control using Solid-state transformers – TPWRS

June 2022 – Workshop on Control for Climate Change Solutions at KTH Stockholm
Feb. 2022 – New ARPA-E grant on microgrid controls lead by Lukic
Jan. 2021 – Best paper prize for IEEE Control System Magazine 2020
April 2020 – ARPA-E grant on power system risk analysis (PERFORM)
September 2019 – Two new NSF grants on CPS and Reinforcement Learning – link, link
March 2019 – Selected as University Faculty Scholar – link
Sep 2018 – NYPA Fellowship project on machine learning with PMU data
Apr. 2018 – EPRI project on hierarchical frequency control
Feb. 2018 – Co-organizing two workshops on Machine Learning & Control – NSF, ACC 2018

1. ECE 451: Power Systems Analysis – Fall 2012, 2013
2. ECE 736: Power Systems Stability and Control – Spring 2013 – present
3. ECE 726: Advanced Feedback Control (Optimal Control) – Fall 2014 – present (odd years)
4. ECE 792: Adaptive Control & Reinforcement Learning – Fall 2018 – present (even years) – Course flyer
5. ECE 436: Digital Control Systems – Spring 2019

1. Power Systems Dynamics and Stability – Fall 2009
2. Wind Power System Modeling and Simulation – Spring 2010