PhD Candidate in Electrical Engineering, Graduate Minor in Computational Engineering, Drexel University
BSEE, MSEE, Graduate Certificate in Engineering Management, Drexel University, 2013, summa cum laude
EMAIL: coleman @ drexel.edu
Nick Coleman studied electrical engineering at Drexel University, and graduated summa cum laude in 2013 with BSEE and MSEE degrees, and a graduate certificate in Engineering Management. He is currently a Ph.D. candidate (advisor: Dr. Karen Miu) with a graduate minor in Computational Engineering. His current research interests include optimization and automation in electric power distribution systems, specifically real-time smart grid operation and control applications.
Nick co-oped at EwingCole and at The Children’s Hospital of Philadelphia. He also worked as a research assistant in the Lighting Technology Lab at the Technical University of Berlin, and as an adjunct instructor at Salem Community College in New Jersey.
In 2011 and 2012, Nick was selected as an IEEE PES Scholar, and in 2012, he was chosen as the John W. Estey Outstanding PES Scholar for IEEE Region II.
N. S. Coleman, K. N. Miu, “Identification of Critical Times for Distribution System Time Series Analysis,” accepted for publication in IEEE Trans. Power Syst., 2017. Click to access accepted version.
N. S. Coleman, J. Hill, J. Berardino, K. L. Ogawa, R. Mallgrave, R. Sandoval, Y. Qian, L. Zhu, K. N. Miu, and C. Nwankpa, “Hardware Setup of a Solar Microgrid Laboratory,” in Proc. 2017 IEEE PES General Meeting, 16-20 July 2017.
N. S. Coleman, K. N. Miu, “A Study of Fault Detection Thresholds under Stochastic Conditions Intrinsic to Power Distribution Systems,” invited panel presentation at 2016 IEEE PES General Meeting, 17-21 July 2016, Boston, MA
N. S. Coleman, K. N. Miu, “Distribution Load Capability with Nodal Power Factor Constraints,” IEEE Trans. Power Syst., vol. 32, no. 4, pp. 3120-3126, July 2017. doi: 10.1109/TPWRS.2016.2625599
N. S. Coleman, C. Schegan, K. N. Miu, “A study of power distribution system fault classification with machine learning techniques,” in Proc. 2015 North American Power Symp., 4-6 Oct. 2015.
N. S. Coleman, K. N. Miu, “A Study of Time Window Selection for Electric Power Distribution System Analysis,” in Proc. 2015 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1891-1894, 24-27 May 2015.
Nicholas S. Coleman, “Load Capability for Smart Distribution Systems,” M.S. Thesis, June 2013.