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Ebisa D. Wollega, Ph.D.

Assistant Professor and BSIE Director

Ebisa D. Wollega, Ph.D.
Contact Info
Office:
Technology (T) 260

Degrees

  • Ph.D., Industrial Engineering, University of Oklahoma, 2015
  • M.S., Industrial Engineering, University of Oklahoma, 2010
  • B.S., Industrial Engineering, Mekelle University, 2005

Bio

  • Assistant Professor, Department of Engineering, Colorado State University-Pueblo, August 2015 - present
  • 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

  • Large scale optimization
  • Artificial intelligence algorithms
  • Advanced data analytics

Publications

  • Ghosh, S., Squillante, M. S., and Wollega, E. D. 2020. Efficient Stochastic Gradient Descent for Distributionally Robust Learning. Submitted to NeurIPS.
  • Clasby, D. and Wollega, E.D. 2020. Blockchain Technology Key to Veracity in Supply Chain Transaction Data. Submitted to the Journal of Management and Engineering Integration.
  • Clasby, D. and Wollega, E.D. 2020. Distributed Energy Systems Planning Using Blockchain Under Network Failure. Submitted to Renewable and Sustainable Energy Reviews journal.
  • Bosman, L. and Wollega, E.D. 2020. Statistical Comparison of Solar Energy Performance: Calculated versus Actual. Submitted to Journal of Statistics Education.
  • Ramirez-Vergara, J., Bosman, L., Wollega, E.D., Leon-Salas, W. 2020. Review of Solar Irradiance and Temperature Forecasting Methods: A Framework Proposition for Photovoltaic Predictive Maintenance. Submitted to Renewable Energy Focus journal.
  • Soto, E., Bosman, L., Wollega, E.D., Leon-Salas, W., and Hutzel, W. 2020. Peer-to-Peer Energy Trading: Current Approaches, Challenges, and Opportunities. Submitted to Applied Energy journal.
  • 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. Detroit, Michigan, USA.
  • 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. Detroit, Michigan, USA.
  • 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. Detroit, Michigan, USA.
  • 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. Detroit, Michigan, USA.
  • 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. Detroit, Michigan, USA.
  • 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.
  • Winckler, V., Wollega E.D., and Baroud, H. 2017. Renewable Energy Supply Risk Analysis Using Stochastic Network Optimization. European Safety and Reliability (ESREL) Conference, Portoroz, Slovenia.​
  • Wollega, E.D., Ghosh, S. Squillante, M. 2016. Bi-level Stochastic Approximation for Joint Optimization of Hydroelectric Dispatch and Spot-market Operations. Winter Simulation Conference (WSC), Washington, DC.
  • Wollega, E.D., Winckler, V.A. 2016. User-based Collaborative Filtering Recommender Systems Approach in Industrial Engineering Curriculum Design and Review Process. ASEE 123rd Annual Conference and Exposition, New Orleans, LA.​
  • 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.

Presentations

  • 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

  • Outstanding Achievement Award. 2020 IEOM Detroit Conference. 
  • Recognition for Excellence in Teaching/Student Learning. CEEPS, Colorado State University Pueblo. 2018/2019.
  • 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.

Professional Societies

  • Division Chair. American Society for Engineering Education (ASEE) Industrial Engineering Division. June 2020 - June 2021.
  • Program Chair. American Society for Engineering Education (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.
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