Ariana Minot
2017
Ariana S. Minot (2017): Distributed Optimization Methods for Monitoring and Operating Electric Power Systems, Harvard Library Office for Scholarly Communication, Digital Access to Scholarship at Harvard, Vol Faculty of Arts and Sciences Theses and Dissertations
2016
Ariana Minot, Yue M. Lu, and Na Li (2016): A Distributed Gauss-Newton Method for Power System State Estimation, IEEE Transactions on Power Systems, Institute of Electrical & Electronics Engineers, Vol 31, Num 5, pp3804-3815
Ariana Minot, Yue M. Lu, and Na Li (2016): A Parallel Primal-Dual Interior-Point Method for DC Optimal Power Flow, Institute of Electrical & Electronics Engineers, 2016 Power Systems Computation Conference (PSCC), pp1-7, Genoa, Italy
2015
Ariana Minot and Na Li (2015): A Fully Distributed State Estimation Using Matrix Splitting Methods, Institute of Electrical & Electronics Engineers, 2015 American Control Conference (ACC), pp2488-2493, Chicago, Illinois, U.S.A.
2016
Ariana Minot (2016): Distributed Algorithms for Power System Monitoring and Control, 2016 Blue Waters Annual Report, pp270-271
Dr. Ariana Minot: Distributed State Estimation for Electric Power Systems
Blue Waters Symposium 2015, May 13, 2015
Six PhD students from across the country selected as Blue Waters Graduate Fellows
Apr 28, 2014
Six outstanding computational science PhD students from across the country have been selected to receive the first Blue Waters Graduate Fellowships, which provide graduate students in diverse fields with substantial support and the opportunity to leverage the petascale power of NCSA’s Blue Waters supercomputer to advance their research. Over three years this fellowship program will award more than $1 million and nearly 30 million integer-core hours to support graduate research.
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