Dr. Ebisa Wollega is an associate professor of industrial engineering at Florida Polytechnic
University. He joined Florida Poly in the fall of 2024 following a position at Colorado
State University Pueblo, where he taught industrial engineering courses, served as
the director of the undergraduate industrial engineering program, and mentored graduate
and undergraduate student research for nine years.
Wollega researches the areas of artificial intelligence and large-scale optimization
for efficient planning of scarce resources, as well as engineering education. He has
documented his work in top-tier journals and conference proceedings, such as in the
Neural Information Processing Systems and Applied Energy. In addition, he demonstrated
exemplary leadership during his five-year tenure as an officer, including as a division
chair for the Industrial Engineering Division of the American Society for Engineering
Education. Wollega has been recognized for excellence in research and teaching awards
more than half a dozen times.
Students' Choice Award recipient (2020) and nominee (2021) by the Associated Students'
Government, Colorado State University Pueblo.
Best Energy Track Paper Award, 5th North American IEOM Detroit Conference 2020.
Excellence in Teaching/Student Learning Award (2019), Colorado State University Pueblo.
Four-time Outstanding Teaching Assistant Award (2010, 2011, 2012, 2013), School of
Industrial and Systems Engineering, University of Oklahoma.
Engineering Student Research Performance Award (2013), second place, University of
Oklahoma.
Ph.D. in Industrial Engineering, University of Oklahoma, 2015
M.S. in Industrial Engineering, University of Oklahoma, 2010
B.S. in Industrial Engineering, Mekelle University, 2005
Machine learning
Optimization
Simulation
Energy planning
Engineering education
Member, Institute for Operations Research and Management Sciences (INFORMS), 2011-current.
Officer and Member, American Society for Engineering Education (ASEE), 2015-current.
Wollega, E., Braddock, M., and Bosman, L. (2024). Awareness of Feature Importance
in Artificial Intelligence Algorithms. Proceedings of the 2024 American Society of
Engineering Education (ASEE) Annual Conference.
Soto, E., Wollega, E., Vizcarrondo-Ortega, A., Hernandez-Guzman, A., and Bosman, L.
(2024). Reduction in Emissions by Massive Solar Plant Integration in the US Power
Grid. Energies, 17 (7). https://doi.org/10.3390/en17071611
Soto, E., Bosman, L., Wollega, E.D., and Leon-Salas, W. (2022). Comparison of net-metering
with peer-to-peer models using the grid and electric vehicles for the electricity
exchange. Applied Energy, 4, 118562.
Ramirez-Vergara, J., Bosman, L. B., Leon-Salas, W. D., and Wollega, E. (2022). Predicting
on-site solar energy generation using off-site weather stations and deep neural networks.
International Journal of Energy and Environmental Engineering, 1-13.
Soto, E. A., Bosman, L. B., Wollega, E., and Leon-Salas, W. D. (2022). Analysis of
Grid Disturbances Caused by Massive Integration of Utility Level Solar Power Systems.
Eng, 3(2), 236-253.
Ramirez-Vergara, J., Bosman, L.B., Wollega, E., and Leon-Salas, W.D. (2022). Review
of forecasting methods to support photovoltaic predictive maintenance. Cleaner Engineering
and Technology, 100460.
Ramirez-Vergara, J., Bosman, L.B., Leon-Salas, W.D., and Wollega, E. (2021). Ambient
Temperature and Solar Irradiance Forecasting Prediction Horizon Sensitivity Analysis.
Machine Learning with Applications, 6, 100128.
Soto, E., Bosman, L., Wollega, E.D., and Leon-Salas, W. (2020). Peer-to-Peer Energy
Trading: A Review of the Literature. Applied Energy, 116268.
Ghosh, S., Squillante, M. S., and Wollega, E. D. (2021). Efficient Generalization
with Distributionally Robust Learning. Advances in Neural Information Processing Systems
34 (NeurIPS 2021).
Wollega, E. D., Ghosh, S., and Squillante, M. S. (2016). Bi-level stochastic approximation
for joint optimization of hydroelectric dispatch and spot-market operations. In Winter
Simulation Conference (WSC), 2016 (pp. 1769-1780).
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