Electrical and Computer Engineering
Google Scholar Page
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
- Machine Learning
- Signal Processing
- Dynamical Systems and Chaos
Selected Recent Publications
Heidi Richburg, Richard J. Povinelli, David R. Friedland. (2018) "Direct-to-Patient Survey for Diagnosis of Benign Paroxysmal Positional Vertigo." International Conference on Machine Learning Applications (ICMLA), 332-337.
Gregory D. Merkel, Richard J. Povinelli, Ronald H. Brown. (2018) "Short-Term Load Forecasting of Natural Gas with Deep Neural Network Regression" Energies, vol. 11, no. 8, 1-12.
Masabho P. Milali, Maggy Sikulu-Lord, Samson S. Kiware, Floyd E. Dowell, Richard J. Povinelli, George F. Corliss. (2018) "Do NIR Spectra Collected from Lab-reared Mosquitoes Differ from those Collected from Wild Mosquitoes?" PLOS ONE, 1-16.
Andres Echeverri, Yevgeniy Reznichenko, Henry Medeiros, Richard J. Povinelli, Ryan Walsh. (2018) “Real-time Hierarchical Bayesian Data Fusion for Vision-based Target Tracking with Unmanned Aerial Platforms,” International Conference on Unmanned Aircraft Systems (ICUAS).
Hermine N. Akouemo, Richard J. Povinelli. (2017) "Data Improving in Time Series Using ARX and ANN Models," IEEE Transactions on Power Systems, vol. 32, no. 5, 3352-3359.
Anthony Hoak, Henry Medeiros, Richard J. Povinelli. (2017) "Image-Based Multi-Target Tracking Through Multi-Bernoulli Filtering with Interactive Likelihoods," Sensors, vol. 17, no. 3, 1-23.
Prachi Pradeep, Richard J. Povinelli, Shannon White, Stephen Merrill. (2016) "An Ensemble Model of QSAR Tools for Regulatory Risk Assessment," Journal of Cheminformatics, vol. 8, no. 48, 1-9.
Babatunde Ishola, Richard J. Povinelli, George F. Corliss, Ronald H. Brown. (2016) "Identifying Extreme Cold Events Using Phase Space Reconstruction," International Journal of Applied Pattern Recognition, vol. 3, no. 3, 1-21.
Hermine N. Akouemo, Richard J. Povinelli. (2016) "Probabilistic Anomaly Detection in Natural Gas Time Series Data," International Journal of Forecasting, vol. 21, no. 3, 948-956.