Aranya Chakrabortty
Professor
University Faculty Scholar 2019
Electrical and Computer Engineering
FREEDM Systems Center
100-26 Keystone Bldg.
North Carolina State University
Raleigh, NC 27695.
Tel: 919-513-3529
Email: aranya.chakrabortty@ncsu.edu
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.
New Papers & Results
- 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
What’s Relatively New
- 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
Teaching
NC State University:
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
Texas Tech University:
1. Power Systems Dynamics and Stability – Fall 2009
2. Wind Power System Modeling and Simulation – Spring 2010
Links
IEEE Explore, Sciencedirect, NASPI, FNET, IEEE PES, SAMSI, NSF, Phase-plane diagrams for nonlinear systems