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Ebisa Wollega, Ph.D.

Associate Professor and Director of Industrial Engineering (BS) program

Ebisa Wollega, Ph.D.
Contact Info
Office:
CHEM 216
Office Hours:
M
W
12:25pm - 3:25pm
and by appointment -

Degrees

  • Ph.D., Industrial Engineering, University of Oklahoma
  • M.S., Industrial Engineering, University of Oklahoma
  • B.S., Industrial Engineering, Mekelle University

Bio

  • Associate Professor, School of Engineering, Colorado State University Pueblo, August 2021 - present
  • Assistant Professor, Department of Engineering, Colorado State University Pueblo, August 2015 - August 2021
  • Instructor, School of Industrial and Systems Engineering, University of Oklahoma, Spring 2015
  • Research Intern, IBM T. J. Watson Research Center, Stochastic Processes and Optimization, Mathematical Science Department, Summer 2014
  • Graduate Assistant, School of Industrial and Systems Engineering, University of Oklahoma, 2009 - 2015
  • Assistant Lecturer/ Graduate Assistant, Department of Industrial Engineering, Mekelle University, 2005 - 2008

Research Interests

  • Applied artificial intelligence
  • Advanced data analytics
  • Large scale optimization

Publications

  • 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). https://papers.nips.cc/paper/2021/file/ee1abc6b5f7c6acb34ad076b05d40815-Paper.pdf 
  • Ghosh, S., Squillante, M. S., and Wollega, E. D. (2021). On Solving Distributionally Robust Optimization Formulations Efficiently. Proceedings of the 2021 Winter Simulation Conference.
  • Ramirez-Vergara, J., Bosman, L. B., Leon-Salas, W. D., & 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., & Leon-Salas, W. D. (2022). Analysis of Grid Disturbances Caused by Massive Integration of Utility Level Solar Power Systems. Eng3(2), 236-253.
  • 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. https://doi.org/10.1016/j.apenergy.2022.118562.
  • 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. https://doi.org/10.1016/j.clet.2022.100460.
  • Bosman, L., Wollega, E., and Naeem, U. (2022). Responsive Educational Transformations During Emergency Situations: Collaborative Autoethnography Applied to the Engineering Classroom. International Journal of Engineering Education
  • 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. A., Bosman, L. B., & Wollega, E. (2021, April). Quantification of Solar Energy Grid Disturbances in the United States. In 2021 IEEE Green Technologies Conference (GreenTech)(pp. 13-18). IEEE.
  • Bosman, L., & Wollega, E. (2021, July). HyFlex, Hybrid, and Virtual Synchronous Teaching in the Engineering Classroom: An Autoethnographic Approach. In 2021 ASEE Virtual Annual Conference Content Access.
  • 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.
  • Clasby, D. and Wollega, E. (2020). Blockchain Technology Key to Veracity in Supply Chain Transaction Data. Journal of Management & Engineering Integration13(2), 1-7.
  • Antor, A.F. and Wollega, E.D. (2020). Comparison of Machine Learning Algorithms for Wind Speed Prediction. Proceedings of the 5th NA International Conference on Industrial Engineering and Operations Management
  • Joshi, G. and Wollega, E.D. (2020). Planning Hydroelectric Power Distribution Under Uncertain Supply. Proceedings of the 5th NA International Conference on Industrial Engineering and Operations Management
  • Bhattarai, S., Correa-Martinez, Y, Wollega, E.D., and Bedoya-Valencia, L. (2020). Building a Prediction Model for Forecasting Adult Care Facility Quarterly Patient Demand. Proceedings of the 5th NA International Conference on Industrial Engineering and Operations Management
  • Bhattarai, S. and Wollega, E.D. (2020). A 0/1 Knapsack Problem to Optimize Shopping Discount under Limited Budget. Proceedings of the 5th NA International Conference on Industrial Engineering and Operations Management
  • Ramirez, J., Soto, E., Wollega, E.D, and Bosman, L.B. (2020). Using Machine Learning to Assess Solar Energy Grid Disturbances. Proceedings of the 5th NA International Conference on Industrial Engineering and Operations Management
  • Hardré, P.L., Ling, C., Shehab, R.L., Nanny, M.A., Refai, H., Nollert, M.U., Ramseyer, C., Wollega, E.D., Huang, S.M. and Herron, J., (2018). Teachers Learning to Prepare Future Engineers: A Systemic Analysis Through Five Components of Development and Transfer. Teacher Education Quarterly45(2), 61-88.
  • Wollega, E. D., Ghosh, S., and Squillante, M. S. (2016, December). Bi-level stochastic approximation for joint optimization of hydroelectric dispatch and spot-market operations. In Winter Simulation Conference (WSC), 2016 (pp. 1769-1780). IEEE.
  • Wollega, E., & Winckler, V. A. (2016, June). User-based collaborative filtering recommender systems approach in industrial engineering curriculum design and review process. In 2016 ASEE Annual Conference & Exposition.
  • Hardreé, P.L., Ling, C., Shehab, R. L., Nanny, M.A., Nollert, M.U., Refai, H., Ramseyer, C., Herron, H., Wollega, E.D., and Huang, S.M. 2016. Situating Teachers’ Developmental Engineering Experiences in an Inquiry-based, Laboratory Learning Environment. Teacher Development, DOI: 10.1080/13664530.2016.1224776.
  • Hardreé, P. L., Shehab, R.L., Ling, C., Nanny, M., Herron, J., Nollert, M., Refai, H., Ramseyer, C., & Wollega, E.D. 2014. Designing and Evaluating a STEM Teacher Learning Opportunity in the Research University. Evaluation and Program planning, 43,73-82.
  • Hardreé, P. L., Ling, C., Shehab, R.L., Nanny, M. A., Nollert, M.U., Refai, H., Ramsayer, C. Herron, J., & Wollega, E.D. 2013. Teachers in an Interdisciplinary Learning Community: Engaging, Integrating and Strengthening K-12 Education. Journal of Teacher Education,64 ( 5),409-325.

Conference Presentations

  • Wollega, E.D. and Antor, A. F. 2022. Regression-based Machine Learning Models for Renewable Power Production Prediction. INFORMS Annual Meeting, Indianapolis, IN.
  • Clasby, D. and Wollega, E.D. 2019. Distributed Optimization of an Energy Distribution Network During Network Failure Using Blockchain Technology. INFORMS Annual Meeting, Seattle, WA.
  • Ghosh, S., Squillante, M. S., & Wollega, E. D. 2018. On Min-Max Optimization Over Large Data Sets.The Workshop on Mathematical performance Modeling and Analysis (MAMA) in conjunction with ACM sigmetrics, Irvine, California.http://www.sigmetrics.org/mama/2018/abstracts/Ghosh.pdf 
  • Ghosh, S., Squillante, M. S., and Wollega, E. D. 2018. On Stochastic Gradient Descent for Distributionally Robust Optimization (DRO). INFORMS Annual Meeting, Phoenix, AZ.
  • Ghosh, S., Squillante, M. S., and Wollega, E. D. 2018.  Efficient Stochastic Gradient Descent for Distributionally Robust Optimization. INFORMS Annual Meeting, Phoenix, AZ.
  • Wollega, E.D., Winckler, V.A., and Baroud, H. 2017. Assessing the Resilience Power Systems under Renewable Sources Supply Risk. Society for Risk Analysis Annual Meeting, Arlington, VA.
  • Ghosh, S., Wollega, E.D, and Squillante, M. 2017. Bi-level Stochastic Approximation. INFORMS Computing Society Conference, Austin, TX.
  • Wollega, E.D., Baroud, H., and Winckler, V.A. 2017. Modeling Sustainable Energy Supply: Renewables and Natural Gas Synergy.INFORMS Annual Meeting, Houston, TX.
  • Wollega, E.D., Baroud, H., and Winckler, V.A. 2016. Energy Flow Network Stochastic Optimization Through Predictive Analytics of Energy Demand. INFORMS Annual Meeting, Nashville, TN.
  • Ghosh, S., Wollega, E.D, and Squillante, M. 2016. Bi-level Stochastic Approximation for Decomposable Stochastic Optimization Formulations. INFORMS Annual Meeting, Nashville, TN.
  • Joshi, G., Wollega, E.D., and Paudel, A. 2016. Optimal Energy Generation and Distribution Planning under Supply Uncertainty. 9th ASNEngr/CAN-USA Joint Annual Conference, Humble/Houston, TX.
  • Wollega, E.D. and Grant, F.H. 2015. Natural Gas Storage Valuation under Uncertainty. INFORMS Annual Meeting, Philadelphia, PA.
  • Wollega, E.D, Ghosh, S., Squillante, M., and Koc, A. 2014. Renewables Energy Export Planning under Uncertainty. INFORMS Annual Meeting, San Francisco, CA.
  • Wollega, E.D, Ghosh, S., Squillante, M., and Koc, A. 2014. Stochastic Optimization of Wind-hydro Integrated Energy Export Planning. IBM T.J. Watson Research Center, Yorktown Heights, NY.
  • Wollega, E.D. and Grant, F.H. 2013. Natural Gas Storage Decision Making Strategies. INFORMS Annual Meeting, Minneapolis, MN.
  • Wollega, E.D. and Grant, F.H. 2013. A Simulation Optimization Approach to Natural Gas Storage Decision Making. Student Research and Performance Day Poster Presentation. Graduate College, University of Oklahoma.
  • Wollega, E.D. and Grant, F.H. 2012. Natural Gas Storage Decision Making. INFORMS Annual Meeting, Phoenix, AZ.
  • Wollega, E.D., Trafalis, T., and Grant, F.H. 2011. A Goal Programming Approach in Multicriteria Optimization: A Case for Energy Decision Making. INFORMS Annual Meeting, Charlotte, NC.
  • Wollega, E.D. and Grant, F.H. 2011. An Application of Experimental Design to Multi-criteria Optimization: A Case for Energy Forecasting. INFORMS Annual Meeting, Charlotte, NC.
  • Wollega, E.D. and Kumin, H. 2010. Some Computational Results for the Bidder Selection Problem. INFORMS Annual Meeting, Austin, TX.

Selected Honors and Awards

  • Students' Choice Award Nominee by Associated Students' Government. Colorado State University Pueblo. 2021.
  • Students' Choice Award Recipient by Associated Students' Government. Colorado State University Pueblo. 2020.
  • Outstanding Achievement Award. IEOM Detroit Conference. 2020. 
  • Best Paper Award in Energy Track. IEOM Detroit Conference. 2020.
  • Recognition for Excellence in Teaching/Student Learning. CEEPS, Colorado State University Pueblo. 2018/2019.
  • Two-time Best Laugh Award, voted by students, School of Industrial and Systems Engineering, University of Oklahoma. 2014, 2015.
  • Two-time Friendliest Person Award, voted by students, School of Industrial and Systems Engineering, University of Oklahoma. 2010, 2011.
  • Four-time Outstanding Teaching Assistant voted by the School of Industrial and Systems Engineering students​ at the University of Oklahoma. 2010 - 2013.
  • Second place winner in Engineering at the University of Oklahoma Student Research and Performance Day. 2013.
  • Sooner Engineering Education Scholar at the University of Oklahoma. 2011/2012.

Service in Professional Societies

  • Awards Chair. American Society for Engineering Education (ASEE) Industrial Engineering Division. July 2021 - June 2022.
  • Division Chair. ASEE Industrial Engineering Division. June 2020 - July 2021.
  • Program Chair. ASEE Industrial Engineering Division. June 2019 - June 2020.
  • Assistant Program Chair. ASEE Industrial Engineering Division. June 2018 - June 2019.
  • Secretary/Treasurer. ASEE Industrial Engineering Division. June 2017 - June 2018.
  • Institute for Operations Research and Management Sciences (INFORMS). Member. 2010 - present. 
  • INFORMS Student Chapter. 2010 - 2015. Served on University of Oklahoma INFORMS​ Student Chapter leadership team during which the chapter was recognized for outstanding performance four times by the national INFORMS student chapter: Magna Cum Laude(2013, 2014), cum laude (2011, 2012); and one time by the University of Oklahoma for Academic Excellence Development (2013).
  • Institute of Industrial Engineers (IISE). 2015. Co-advised Colorado State University-Pueblo Student Chapter.

Courses Taught

  • Operations Research: Techniques for analysis and solution of problems in industrial and management systems. Linear programming, duality theory, sensitivity analysis, network analysis techniques, and integer programming.
  • Project Planning and Control: Engineering project management including project selection, organization, planning, and budgeting. Project evaluation, tracking and control, and scheduling and resource allocation, including PERT and CPM.
  • Operations Planning and Control: Techniques for analysis and management of manufacturing operations and production with emphasis on inventory systems and forecasting.
  • Data Analytics: Principles of data modeling, data preprocessing, data visualization, regression, classification, clustering, and tree-based models.
  • Advanced Programming: Crafting efficient computer programs to solve large scale engineering problems. Object oriented programming, data structures and algorithms, algorithmic complexity analysis.
  • Stochastic Systems Engineering: Probability modeling and statistical analysis of engineering systems containing elements of uncertainty.
  • Engineering Economy: Modeling, analysis, and decision making involving time value of money, depreciation, income taxes, and replacement analysis.
  • Introduction to Industrial and Systems Engineering: Engineering viewpoints of the principles of organization for production and the operations applicable to accomplishing organizational responsibilities.
  • Problem Solving for Engineers: Writing computer programs to solve real-world problems in engineering and science.
     
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