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Javier Rubio Herrero

Title: Assistant Professor

Department: Information Technology and Decision Sciences

College: College of Business

Curriculum Vitae

Curriculum Vitae Link

Education

  • PhD, Rutgers University, 2016
    Major: Operations Research
    Dissertation: Price-setting Newsvendor Policies with Mean-Variance Criteria
  • MS, University of Wisconsin-Madison, 2009
    Major: Industrial Engineering
  • BS, University of Seville, 2007
    Major: Industrial Engineering

Current Scheduled Teaching

DSCI 5240.004Data Mining and Machine Learning for BusinessSpring 2025
DSCI 5240.401Data Mining and Machine Learning for BusinessSpring 2025
DSCI 5240.501Data Mining and Machine Learning for BusinessSpring 2025

Previous Scheduled Teaching

DSCI 5240.007Data Mining and Machine Learning for BusinessFall 2024 SPOT
MSCI 6740.001Theory and Applications of Operations ResearchFall 2024 SPOT
DSCI 5260.001Business Process AnalyticsSummer 5W1 2024 SPOT
DSCI 5240.001Data Mining and Machine Learning for BusinessSummer 5W1 2024 SPOT
DSCI 5260.002Business Process AnalyticsSpring 2024 SPOT
DSCI 5240.501Data Mining and Machine Learning for BusinessSpring 2024 SPOT
DSCI 5260.005Business Process AnalyticsFall 2023 SPOT
DSCI 5240.001Data Mining and Machine Learning for BusinessFall 2023 SPOT
DSCI 5260.001Business Process AnalyticsSummer 5W1 2023 SPOT
DSCI 5240.001Data Mining and Machine Learning for BusinessSummer 5W1 2023 SPOT
DSCI 4900.703Special ProblemsSummer 5W1 2023 Syllabus
DSCI 5260.002Business Process AnalyticsSpring 2023 SPOT
DSCI 5240.501Data Mining and Machine Learning for BusinessSpring 2023 SPOT
DSCI 5240.001Data Mining and Machine Learning for BusinessFall 2022 SPOT
DSCI 5240.004Data Mining and Machine Learning for BusinessFall 2022 SPOT
DSCI 3870.001Management ScienceFall 2022 Syllabus SPOT
DSCI 5260.001Business Process AnalyticsSummer 5W1 2022 SPOT
DSCI 5240.001Data Mining and Machine Learning for BusinessSummer 5W1 2022 SPOT
DSCI 4900.705Special ProblemsSummer 5W1 2022 Syllabus
DSCI 5260.003Business Process AnalyticsSpring 2022 SPOT
DSCI 5260.501Business Process AnalyticsSpring 2022 SPOT
DSCI 5240.501Data Mining and Machine Learning for BusinessSpring 2022 SPOT
DSCI 5240.501Data Mining and Machine Learning for BusinessFall 2021 SPOT
DSCI 3870.001Management ScienceFall 2021 Syllabus SPOT
DSCI 3870.501Management ScienceFall 2021 Syllabus SPOT
DSCI 5240.001Data Mining and Machine Learning for BusinessSummer 5W1 2021 SPOT
DSCI 5240.001Data Mining and Machine Learning for BusinessSpring 2021 SPOT
DSCI 5240.501Data Mining and Machine Learning for BusinessSpring 2021 SPOT
DSCI 3870.002Management ScienceSpring 2021 Syllabus SPOT
DSCI 3870.001Management ScienceFall 2020 Syllabus SPOT
DSCI 3870.002Management ScienceFall 2020 Syllabus SPOT
DSCI 3870.501Management ScienceFall 2020 Syllabus SPOT

Published Intellectual Contributions

    Book Chapter

  • Chakraborty, I., Dasgupta, A., Rubio Herrero, J., Nandanoori, S., Kundu, S., Chandan, V. (2023). Application of Machine Learning for Energy-Efficient Buildings. Handbook of Smart Energy Systems. Springer Nature.
  • Tipireddy, R., Rubio Herrero, J., Chatterjee, S., Chikkagoudar, S., Muller, G. (2020). Exploring Metaheuristic Approaches for Solving the Traveling Salesman Problem Applied to Emergency Planning and Response. Applied Risk Analysis for Guiding Homeland Security Policy and Decisions. 528. Wiley.
  • Conference Proceeding

  • Rubio Herrero, J. (2018). Simpson’s Paradox and Equity in a Classroom: When Dropping the Worst Homework is Prejudicial to Your Students. Other. ASEE.
  • Rubio Herrero, J., Chandan, V., Siegel, C., Vishnu, A., Vrabie, D. (2017). A learning framework for control-oriented modeling of buildings. Other. 473--478. IEEE.
  • Rubio Herrero, J. (2015). The rise of unaccompanied alien children: Assessing the performance of a transition center with queuing theory. Other. 1--6. IEEE.
  • Nelson, C., Boros, E., Roberts, F., Rubio Herrero, J., Kantor, P., McGinity, C., Nakamura, B., Ricks, B. (2014). ACCAM Global Optimization Model for the USCG Aviation Air Stations. Other. Institute of Industrial and Systems Engineers (IISE).
  • Journal Article

  • Saeed, K., Rubio Herrero, J., Mitra, A. (2024). Do Women Make Less Than Men in IT? Yes and No!. MIS Quarterly Executive. 23 (4)
  • Rubio Herrero, J., Ninh, A., Lefew, M. (2023). Improving the Performance of Supply Chains in Clinical Trials with Delays: An Optimization Approach to Determining the Number of Recruitment Sites. Annals of Operations Research.
  • Rubio Herrero, J., Muñuzuri, J. (2023). Sparse Regression for Data-driven Deterrence Functions in Gravity Models. Annals of Operations Research.
  • Rubio Herrero, J., Wang, Y. (2022). A Flexible Rolling Regression Framework for the Identification of Time-Varying SIRD models. Computers & Industrial Engineering. Elsevier.
  • Rubio Herrero, J., Ortiz Marrero, C., Fan, W. (2021). Modeling Atmospheric Data and Identifying Dynamics: Temporal Data-Driven Modeling of Air Pollutants. Journal of Cleaner Production. 333
  • Rubio Herrero, J., Baykal-Gursoy, M. (2020). Mean-variance analysis of the newsvendor problem with price-dependent, isoelastic demand. European Journal of Operational Research. 283 (3) 942--953. North-Holland.
  • Rubio Herrero, J., Munuzuri, J. (2019). Indirect estimation of interregional freight flows with a real-valued genetic algorithm. Transportation. 1--26. Springer US.
  • Rubio Herrero, J., Baykal-Gursoy, M. (2018). On the unimodality of the price-setting newsvendor problem with additive demand under risk considerations. European Journal of Operational Research. 265 (3) 962--974. North-Holland.
  • Rubio Herrero, J., Baykal-Gursoy, M., Jaskiewicz, A. (2015). A Price-Setting Newsvendor Problem Under Mean-Variance Criteria. European Journal of Operational Research. 247 (2) 575--587. Elsevier.
  • Research Report

  • Soria, A., Rubio Herrero, J. (2008). El estudio WETO-H2: una introduccion a la economia del hidrogeno. Other. (15) 179-189. Federacion de Cajas de Ahorros Vasco-Navarras.
  • Technical Report

  • Wiesenthal, T., Saveyn, B., Soria, A., Nill, J., Rubio Herrero, J., Nemeth, G. (2008). Energy research capacities in EU member states. Other.

Contracts, Grants and Sponsored Research

    Fellowship

  • Rubio Herrero, J., "Talentia," sponsored by Junta de Andalucía, Regional, $70000 Funded. (2008 - 2009).
  • Grant - Research

  • Rubio Herrero, J. (Principal), Narayanan, A. (Co-Principal), Owusu, P. (Supporting), "ITDS Summer Research Funds," sponsored by UNT College of Business, University of North Texas, $10000 Funded. (2024).
  • Rubio Herrero, J. (Principal), Muñuzuri, J. (Co-Principal), "Improving Last-Mile Delivery Services with Machine Learning and Optimization," sponsored by Global Venture Fund, University of North Texas, $2930 Funded. (2023 - 2024).
  • Rubio Herrero, J. (Principal), "Mathematical Characterization of Interregional Freight Flows by Road," sponsored by St. Mary’s University, Private, $4995 Funded. (2018 - 2019).
  • Grant - Service

  • Rubio Herrero, J., "Faculty Conference Fund," sponsored by St. Mary's University Alumni Association, Local, $1075 Funded. (2019 - 2020).
  • Rubio Herrero, J., "ASSIST Travel Grant," sponsored by National Science Foundation, Federal, $2000 Funded. ( - 2019).
  • Rubio Herrero, J., "ASSIST Travel Grant," sponsored by National Science Foundation, Federal, $2000 Funded. ( - 2019).
  • Rubio Herrero, J., "ASSIST Travel Grant," sponsored by National Science Foundation, Federal, $2000 Funded. ( - 2019).
  • Rubio Herrero, J., "Conference Travel Funds," sponsored by Rutgers Business School, State, $4700 Funded. (2014 - 2016).
  • Rubio Herrero, J., "Conference Travel Funds," sponsored by Rutgers Graduate School, State, $4767 Funded. (2014 - 2016).
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Overall
Summative Rating
Challenge and
Engagement Index
Response Rate

out of 5

out of 7
%
of
students responded
  • Overall Summative Rating (median):
    This rating represents the combined responses of students to the four global summative items and is presented to provide an overall index of the class’s quality. Overall summative statements include the following (response options include a Likert scale ranging from 5 = Excellent, 3 = Good, and 1= Very poor):
    • The course as a whole was
    • The course content was
    • The instructor’s contribution to the course was
    • The instructor’s effectiveness in teaching the subject matter was
  • Challenge and Engagement Index:
    This rating combines student responses to several SPOT items relating to how academically challenging students found the course to be and how engaged they were. Challenge and Engagement Index items include the following (response options include a Likert scale ranging from 7 = Much higher, 4 = Average, and 1 = Much lower):
    • Do you expect your grade in this course to be
    • The intellectual challenge presented was
    • The amount of effort you put into this course was
    • The amount of effort to succeed in this course was
    • Your involvement in course (doing assignments, attending classes, etc.) was
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