Ruben Proano Headshot

Ruben Proano

Associate Professor

Department of Industrial and Systems Engineering
Kate Gleason College of Engineering

585-475-4236
Office Location

Ruben Proano

Associate Professor

Department of Industrial and Systems Engineering
Kate Gleason College of Engineering

Education

BS, Universidad San Francisco de Quito (Ecuador); MS, Ph.D., University of Illinois at Urbana-Champaign

Bio

Dr. Ruben Proano holds a Ph.D. and a M.S. degree in Industrial Engineering from the University of Illinois at Urbana-Champaign. He also holds a B.S. in Industrial Engineering from Universidad San Francisco de Quito, Ecuador, and is a United World Colleges (UWC) alumnus. 

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585-475-4236

Personal Links
Areas of Expertise

Select Scholarship

Journal Paper
Bui, Hieu, et al. "An Analysis of COVID-19 Vaccine Hesitancy." IISE Transactions. (2024): --. Web.
Eksioglu, Sandra, et al. "Designing Drone Delivery Networks for Vaccine Supply Chain: A case study of Niger." IISE Transactions on Healthcare Systems Engineering. (2023): --. Web.
Konrad, Renata, et al. "Key Considerations when Using Health Insurance Claims Data in Advanced Data Analyses: An Experience Report." Health Systems. (2019): 1-9. Web.
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Published Conference Proceedings
Bui, Hieu, et al. "An Analysis of the Impacts of Social Media on COVID-19 Vaccine Hesitancy in the U.S." Proceedings of the IISE Annual Conference & Expo 2022. Ed. K. Ellis, W. Ferrell, and J. Knapp. Seattle, WA: n.p., 2022. Web.
Alves-Maciel, Bruno and Ruben A. Proano. "Exploring Market Segment Assignment Strategies to Monopsonistic Entities in a Hypothetically Coordinated Vaccine Market." Proceedings of the Winter Simulation Conference. Ed. S. Kim, et al. Phoenix, Arizona: n.p., 2021. Web.
Bullard, Joseph, et al. "Towards Early Dementia Detection: Fusing Linguistic and Non-Linguistic Clinical Data." Proceedings of the Proceedings of the Third Workshop on Computational Lingusitics and Clinical Psychology, June 2016, CA. Ed. Kristy Hollingshead and Lyle Ungar. San Diego, CA: Association of Computational Lingustics, 2016. Web.
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Invited Keynote/Presentation
Proano, Ruben A. "Insights from a hypothetically coordinated pediatric vaccine market: Making vaccines more affordable and profitable." INFORMS MIF Research Webinar Series. MIF, INFORMS. online, USA. 25 Aug. 2022. Lecture.
Proano, Ruben A. "Equitable Access to Safety Stock: The Ebola vaccine case." INFORMS Annual Meeting. INFORMS. Indianapolis, IN. 18 Oct. 2022. Conference Presentation.
Proano, Ruben A. "A Centralized Ebola Vaccine Safety Stock for Sub-Saharan Africa." INFORMS Healthcare. Institute of Operations Research and Management Science. Indianapolis, Indiana. 21 Jul. 2021. Conference Presentation.
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Published Article
Proano, Ruben A., Sheldon H. Jacobson, and Janet A. Jokela. “A multi-attribute approach for setting pediatric vaccine stockpiles.” Journal ofIndustrial and Management Optimization, 6.4 (2010): 709-727. Print. É  «
Formal Presentation
Proano, Ruben A. “Spreading the Cure: Making Combination Vaccines More Accessible to Low-Income Countries”. United Nations. United Nations Headquarters, NY. 29 October 2010.Presentation. " 
Proano, Ruben A., Wenbo Zhang, and Sheldon H. Jacobson. “Making Combination vaccines more affordable: Determining the optimal subsidy.” INFORMS. Austin, TX. 7-10 Nov. 2010. Presentation. " 
Dhamodharan, Aswin, and Ruben A. Proano. “Determiningthe Optimal Vaccine Vial Size.” INFORMS. Austin, TX. 7-10 Nov. 2010. Presentation. " 
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Currently Teaching

ISEE-601
3 Credits
An introductory course in operations research focusing on modeling and optimization techniques used in solving problems encountered in industrial and service systems. Topics include deterministic and stochastic modeling methodologies (e.g., linear and integer programming, Markov chains, and queuing models) in addition to decision analysis and optimization tools. These techniques will be applied to application areas such as production systems, supply chains, logistics, scheduling, healthcare, and service systems. Note: Students required to take ISEE-301 for credit may not take ISEE-601 for credit.
ISEE-701
3 Credits
Computational techniques for solving constrained optimization problems. Linear programming, the Simplex method and variations, duality and sensitivity testing.
ISEE-788
3 Credits
This course is used by students as a capstone experience. The student must demonstrate an acquired competence in a topic that is chosen in conference with a faculty advisor. The work may involve a research and/or design project with demonstration of acquired knowledge. A written paper and an oral presentation of the work are required.
ISEE-795
0 Credits
This class introduces students to state of the art research and research methods in industrial and systems engineering. Presentations include off campus speakers and students/faculty presentations on current research under way in the department.

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