Positions

Overview

  • 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.
  • Publications

    Academic Article

    Year Title
    2018 Service Learning in Engineering EducationIEEE Pervasive Computing.  17:57-61. 2018
    2017 Intrinsic Mode Function Based Noise Power Estimation With Applications to Semiblind Spectrum Sensing MethodsIEEE Signal Processing Letters.  24:1088-1092. 2017
    2016 A De-noising Scheme Based on the Null Hypothesis of Intrinsic Mode FunctionsIEEE Signal Processing Letters.  23:924-928. 2016
    2015 5.5 GHz optically transparent mesh wire microstrip patch antennaElectronics Letters.  51:1220-1221. 2015
    2015 A Generalized Probabilisitic-Based Indoor Localization MethodSensors and Transducers.  187. 2015
    2010 Impact of Mutual Coupling on Adaptive Switching Between MIMO Transmission Strategies and Antenna ConfigurationsWireless Personal Communications.  52:69-87. 2010
    2009 Experimental Evaluation of Game Theoretic Power Allocation in MIMO Ad-hoc NetworksIEEE Transactions on Wireless Communications.  8:2292-2295. 2009
    2008 Design and evaluation of a reconfigurable antenna array for MIMO systemsIEEE Transactions on Antennas and Propagation.  56:869-881. 2008
    2002 Low-threshold-current-density 1300-nm dilute-nitride quantum well lasersApplied Physics Letters.  81:2523-2525. 2002

    Conference Proceeding

    Year Title
    2017 A Bi-conical Log-Periodic Antenna for Vehicular CommunicationsIEEE Vehicular Technology Conference. 2017
    2017 An Adaptive Energy Detection Scheme Using EMD for Spectrum Sensing2017 14TH IEEE ANNUAL CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE (CCNC). 7-12. 2017
    2016 Detecting Building Occupancy with Vibration Sensors and Machine Learning 2016
    2016 An Intrinsic Mode Function Based Energy Detector for Spectrum Sensing in Cognitive Radio2017 INTERNATIONAL CONFERENCE ON COMPUTING, NETWORKING AND COMMUNICATIONS (ICNC). 131-136. 2016
    2016 Noise Estimation for Spectrum Sensing SchemesIEEE Vehicular Technology Conference. 2016
    2016 Wireless Sensor System for Detection of Occupants to Increase Building Energy EfficiencyIEEE SECOND INTERNATIONAL SMART CITIES CONFERENCE (ISC2 2016). 366-371. 2016
    2015 Wireless Occupancy Detection with Dynamic Schedules 2015
    2015 An EMD-based Double Threshold Detector for Spectrum Sensing in Cognitive Radio Networks2015 IEEE 82ND VEHICULAR TECHNOLOGY CONFERENCE (VTC FALL). 2015
    2015 An EMD-based Spectrum Sensing Technique for Cognitive Radio NetworksIEEE Vehicular Technology Conference. 2015
    2013 Accelerated learning in machine learning-based resource allocation methods for Heterogenous Networks2013 IEEE 7th International Conference on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS). 468-473. 2013
    2013 Using prior measurements to improve probabilistic-based indoor localization methods2013 IEEE 7th International Conference on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS). 478-482. 2013
    2013 A Proximity-based Q-learning Reward Function for Femtocell NetworksIEEE Vehicular Technology Conference. 2013
    2013 An Indoor Probabilistic Localization Method Using Prior InformationIEEE Vehicular Technology Conference. 2013
    2013 Antenna Array with Meshed Elements for Beamforming ApplicationsProgress in Electromagnetics Research Symposium. 1356-1360. 2013
    2011 FPGA based 802.11n MIMO interoperability testbed2011 International Symposium of Modeling and Optimization of Mobile, Ad Hoc, and Wireless Networks. 376-376. 2011
    2011 Improving the Performance of Vehicular Networks in High Traffic Density Conditions with Cognitive Radios2011 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV). 552-556. 2011
    2010 Performance of Transparent Conductive Polymer Antennas in a MIMO Ad-hoc Network2010 IEEE 6TH INTERNATIONAL CONFERENCE ON WIRELESS AND MOBILE COMPUTING, NETWORKING AND COMMUNICATIONS (WIMOB). 9-14. 2010
    2009 Optically Transparent Conductive Polymer RFID Meandering Dipole AntennaIEEE RFID: 2009 IEEE INTERNATIONAL CONFERENCE ON RFID. 270-274. 2009
    2007 Experimental characterization of resource allocation algorithms in MIMO-OFDM ad hoc networksIEEE Radio and Wireless Symposium, RWS. 369-372. 2007
    2006 Software defined radio demonstration of MIMO-OFDM rate adaptation2006 1ST IEEE WORKSHOP ON NETWORKING TECHNOLOGIES FOR SOFTWARE DEFINED RADIO NETWORKS. 52-+. 2006
    2004 Modeling effects of mutual coupling considered at both ends of a MIMO channel using computational electromagneticsVTC2004-FALL: 2004 IEEE 60TH VEHICULAR TECHNOLOGY CONFERENCE, VOLS 1-7. 4352-4355. 2004
    MOCVD Growth of Strain Compensated InGaAsN Quantum Well Lasers

    Patents And Disclosures

    Year Title
    Detection of Occupied Spectrum using Empirical Mode Decomposition
    Techniques for Empirical Mode Decomposition (EMD)-Based Noise Estimation
    Techniques for Empirical Mode Decomposition (EMD)-Based Signal De-noising Using Statistical Properties of Intrinsic Mode Functions (IMFS)

    Teaching Activities

  • Doctoral Research Taught course 2019
  • Electromagnetic Fields&Waves I Taught course 2019
  • Electromagnetic Fields&Waves I Taught course 2019
  • Doctoral Research Taught course 2018
  • Electric Circuits Taught course 2018
  • Electric Circuits Taught course 2018
  • Electric Circuits Taught course 2018
  • Electric Circuits Taught course 2018
  • Electric Circuits Taught course 2018
  • Electric Circuits Recitation Taught course 2018
  • Doctoral Research Taught course 2018
  • Electromagnetic Fields&Waves I Taught course 2018
  • Electromagnetic Fields&Waves I Taught course 2018
  • Doctoral Research Taught course 2017
  • Wireless Communication Systems Taught course 2017
  • Doctoral Research Taught course 2017
  • Doctoral Research Taught course 2016
  • Doctoral Research Taught course 2016
  • Doctoral Research Taught course 2016
  • Doctoral Research Taught course 2015
  • Wireless Communication Systems Taught course 2015
  • Doctoral Research Taught course 2015
  • Random Processes and Signals Taught course 2015
  • Random Processes and Signals Taught course 2015
  • Senior Project II Taught course 2015
  • Spc Top/Emag for RF Circuits Taught course 2015
  • Doctoral Research Taught course 2014
  • Fundmtls Communication Systems Taught course 2014
  • Fundmtls Communication Systems Taught course 2014
  • Fundmtls Communication Systems Taught course 2014
  • Doctoral Research Taught course 2014
  • Random Process& Signals/Honors Taught course 2014
  • Random Processes and Signals Taught course 2014
  • Random Processes and Signals Taught course 2014
  • Education And Training

  • B.S. Electrical&Electronic Eng. Tec, University of Wisconsin - Madison
  • M.S. Electrical&Electronic Eng. Tec, Drexel University
  • Ph.D. Electrical&Electronic Eng. Tec, Drexel University
  • Full Name

  • Nicholas Kirsch