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  • Dr. Richard Povinelli
    Dr. Richard J. Povinelli, P.E.Marquette University

    Haggerty Hall, 221

    MilwaukeeWI53201United States of America
    (414) 288-7088Website
    Curriculum Vitae

    Professor

    Electrical and Computer Engineering

    Website

    Google Scholar Page

    Education

    Ph.D., 1999, Electrical and Computer Engineering, Marquette University
    M.S., 1989, Computer and Systems Engineering, Rensselaer Polytechnic Institute
    B.S., 1987, Electrical Engineering, University of Illinois
    B.A., 1987, Psychology, University of Illinois

    Research Interests

    • Machine Learning
    • Signal Processing
    • Dynamical Systems and Chaos

    Selected Recent Publications

    David R. Friedland, Taiwo Fasae, Heidi A. Richburg, Richard J. Povinelli. (2020) “Influence of Age on Patient-Reported Symptoms in BPPV,” American Otological Society Annual Meeting, Atlanta, Georgia.

    Michele R. B. Malinowski, Richard J. Povinelli. (2020) "Using Smart Meters to Learn Water Customer Behavior," IEEE Transaction on Engineering Management, 1-13.

    Masabho P. Milali, Samson S. Kiware, Nicodem J. Govella, Fredros Okumu, Naveen Bansal, Serdar Bozdag, Jacques D. Charlwood, Marta F. Maia, Sheila B. Ogoma, Floyd E. Dowell, George F. Corliss, Maggy T. Sikulu-Lord, Richard J. Povinelli. (2020) "An Autoencoder and Artificial Neural Network-based Method to Estimate Parity Status of Wild Mosquitoes from Near-infrared Spectra," PLOS ONE, vol. 15, no. 6, 1-16.

    Masabho P. Milali, Maggy T. Sikulu-Lord, Samson S. Kiware, Floyd E. Dowell, George F. Corliss, Richard J. Povinelli. (2019) "Age grading An. gambiae and An. arabiensis using near infrared spectra and artificial neural networks," PLOS ONE, vol. 14, no. 8, 1-17.

    Md Osman Gani, Taskina Fayezeen, Richard J. Povinelli, Roger O. Smith, Muhammad Arif, Ahmed J. Kattan, Sheikh Iqbal Ahamed. (2019) "A light weight smartphone based human activity recognition system with high accuracy," Journal of Network and Computer Applications, no. 141, 59-72.

    Colin O. Quinn, Richard J. Povinelli, Jaired R. Collins, and Jake Norment. (2019) "Predicting Natural Gas Pipeline Alarms," International Symposium on Forecasting, Thessaloniki, Greece.


    Quick Links

    CONTACT

    Dr. Majeed M. Hayat
    Chair and Professor
    Phone: (414) 288-6820
    Fax: (414) 288-7082
    majeed.hayat@marquette.edu

    Marquette University
    Electrical and Computer Engineering Department
    Olin Engineering Room 206
    1515 W. Wisconsin Avenue
    Milwaukee, WI 53233

    Opus College of Engineering


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