Nicholas J. Kirsch is an Associate Professor in the Department of Electrical and Computer Engineering at the University of New Hampshire. He obtained his B.S. degree in Electrical Engineering from the University of Wisconsin - Madison in May 2003. Nicholas received an M.S. degree in Electrical Engineering and Telecommunications in June 2006 and a Ph. D. in Electrical Engineering in June 2009 from Drexel University in Philadelphia, Pennsylvania.
In 2001 and 2002, Nicholas worked for W.L. Gore & Associates on fiber optic link modules and long-wavelength lasers. In graduate school, he worked with the Drexel Wireless Systems Laboratory and the Applied Communication and Information Networking group in Camden, NJ. His research interests include Multiple-input multiple-output (MIMO) communications systems, wireless sensor networks, cognitive radio, software defined radios, transparent antennas, and spectrum sensing technologies. This work is supported by the National Science Foundation, University of New Hampshire, and the Institute of Electrical and Electronic Engineers. Nicholas is currently the chair of the Engineering Projects in Community Service in IEEE program, which funds students to solve problems and engage with local non-profit organizations.
Nicholas is a member of IEEE, Eta Kappa Nu, and AAAS.
Ph.D., Electrical&Electronic Eng. Tec, Drexel University
M.S., Electrical&Electronic Eng. Tec, Drexel University
B.S., Electrical&Electronic Eng. Tec, University of Wisconsin - Madison
ECE 541: Electric Circuits Recitation
ECE 603: Electromagnetic Fields&Waves I
ECE 757: Fundmtls Communication Systems
ECE 757/857: Fundmtls Communication Systems
ECE 857: Fundmtls Communication Systems
ECE 920: Wireless Communication Systems
ECE 999: Doctoral Research
Smith, J. R., Al-Badrawi, M. H., & Kirsch, N. J. (2019). An Optimized De-Noising Scheme Based on the Null Hypothesis of Intrinsic Mode Functions. IEEE Signal Processing Letters, 26(8), 1232-1236. doi:10.1109/lsp.2019.2925316
Kirsch, N. J. (2018). Service Learning in Engineering Education. IEEE Pervasive Computing, 17(2), 57-61. doi:10.1109/mprv.2018.022511244
Al-Badrawi, M. H., Kirsch, N. J., & Al-Jewad, B. Z. (2017). Intrinsic Mode Function Based Noise Power Estimation With Applications to Semiblind Spectrum Sensing Methods. IEEE Signal Processing Letters, 24(7), 1088-1092. doi:10.1109/lsp.2017.2710883
Al-Badrawi, M. H., Al-Jewad, B. Z., Smith, W. J., & Kirsch, N. J. (2016). A De-noising Scheme Based on the Null Hypothesis of Intrinsic Mode Functions. IEEE Signal Processing Letters, 23(7), 924-928. doi:10.1109/lsp.2016.2569494
Escobar, E. R., Kontopidis, G., Kirsch, N. J., & Turner, B. (2015). 5.5 GHz optically transparent mesh wire microstrip patch antenna. Electronics Letters, 51(16), 1220-1222. doi:10.1049/el.2015.1594
Tefft, J., Bera, R., Kirsch, N. J., & Fu, T. (2015). A Generalized Probabilisitic-Based Indoor Localization Method. Sensors and Transducers, 187(4).
Bhagavatula, R., Heath, R. W., Forenza, A., Kirsch, N. J., & Dandekar, K. R. (2010). Impact of Mutual Coupling on Adaptive Switching Between MIMO Transmission Strategies and Antenna Configurations. Wireless Personal Communications, 52(1). doi:10.1007/s11277-008-9513-2
Kirsch, N., Kountouriotis, J., Liang, C., & Dandekar, K. (2009). Experimental evaluation of game theoretic power allocation in MIMO ad-hoc networks. IEEE Transactions on Wireless Communications, 8(5), 2292-2295. doi:10.1109/twc.2009.080863
Piazza, D., Kirsch, N. J., Forenza, A., Heath, R. W., & Dandekar, K. R. (2008). Design and Evaluation of a Reconfigurable Antenna Array for MIMO Systems. IEEE Transactions on Antennas and Propagation, 56(3), 869-881. doi:10.1109/tap.2008.916908
Tansu, N., Kirsch, N. J., & Mawst, L. J. (2002). Low-threshold-current-density 1300-nm dilute-nitride quantum well lasers. Applied Physics Letters, 81(14), 2523-2525. doi:10.1063/1.1511290