Faculty Profile

Javier Rubio Herrero

Title
Assistant Professor
Department
Information Technology and Decision Sciences
College
College of Business

    

    

      


                          

            
Curriculum Vitae

            

              Click Here to View Faculty CV
            

          

        
                          

            
Education

            



  

  


  
PhD, Rutgers University, 2016. 
Major: Operations Research
Dissertation Title: 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 5260.001, Business Process Analytics, Summer 2024 Syllabus
DSCI 5240.001, Data Mining and Machine Learning for Business, Summer 2024 Syllabus


          
*
  Texas Education Code 51.974 (HB 2504) requires each institution of
  higher education to make available to the public, a syllabus for
  undergraduate lecture courses offered for credit by the institution.
  

        

      

    

  


    

    

      


        


          


            
Previous Scheduled Teaching*


            
                    

                    DSCI 5260.002, Business Process Analytics, Spring 2024 Syllabus SPOT
                    

                    DSCI 5240.501, Data Mining and Machine Learning for Business, Spring 2024 Syllabus SPOT
                    

                    DSCI 5260.005, Business Process Analytics, Fall 2023 Syllabus SPOT
                    

                    DSCI 5240.001, Data Mining and Machine Learning for Business, Fall 2023 Syllabus SPOT
                    

                    DSCI 5260.001, Business Process Analytics, Summer 5W1 2023 Syllabus SPOT
                    

                    DSCI 5240.001, Data Mining and Machine Learning for Business, Summer 5W1 2023 Syllabus SPOT
                    

                    DSCI 4900.703, Special Problems, Summer 5W1 2023 Syllabus
                    

                    DSCI 5260.002, Business Process Analytics, Spring 2023 Syllabus SPOT
                    

                    DSCI 5240.501, Data Mining and Machine Learning for Business, Spring 2023 Syllabus SPOT
                    

                    DSCI 5240.001, Data Mining and Machine Learning for Business, Fall 2022 Syllabus SPOT
                    

                    DSCI 5240.004, Data Mining and Machine Learning for Business, Fall 2022 Syllabus SPOT
                    

                    DSCI 3870.001, Management Science, Fall 2022 Syllabus SPOT
                    

                    DSCI 5260.001, Business Process Analytics, Summer 5W1 2022 Syllabus SPOT
                    

                    DSCI 5240.001, Data Mining and Machine Learning for Business, Summer 5W1 2022 Syllabus SPOT
                    

                    DSCI 4900.705, Special Problems, Summer 5W1 2022 Syllabus
                    

                    DSCI 5260.003, Business Process Analytics, Spring 2022 Syllabus SPOT
                    

                    DSCI 5260.501, Business Process Analytics, Spring 2022 Syllabus SPOT
                    

                    DSCI 5240.501, Data Mining and Machine Learning for Business, Spring 2022 Syllabus SPOT
                    

                    DSCI 5240.501, Data Mining and Machine Learning for Business, Fall 2021 Syllabus SPOT
                    

                    DSCI 3870.001, Management Science, Fall 2021 Syllabus SPOT
                    

                    DSCI 3870.501, Management Science, Fall 2021 Syllabus SPOT
                    

                    DSCI 5240.001, Data Mining and Machine Learning for Business, Summer 5W1 2021 Syllabus SPOT
                    

                    DSCI 5240.001, Data Mining and Machine Learning for Business, Spring 2021 Syllabus SPOT
                    

                    DSCI 5240.501, Data Mining and Machine Learning for Business, Spring 2021 Syllabus SPOT
                    

                    DSCI 3870.002, Management Science, Spring 2021 Syllabus SPOT
                    

                    DSCI 3870.001, Management Science, Fall 2020 Syllabus SPOT
                    

                    DSCI 3870.002, Management Science, Fall 2020 Syllabus SPOT
                    

                    DSCI 3870.501, Management Science, Fall 2020 Syllabus SPOT

          


          
*
  Texas Education Code 51.974 (HB 2504) requires each institution of
  higher education to make available to the public, a syllabus for
  undergraduate lecture courses offered for credit by the institution.
  

        

      

    

  

  
  	

	

	  

		

		   
Published Publications



  

  
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
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. 



	
		
		
	  

	

	

  
    
	

	

	  

		

		   
Awarded Grants



  
  
  	  
          
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), "Improving Last-Mile Delivery Services with Machine Learning and Optimization," Sponsored by Global Venture Fund, University of North Texas, $2930 Funded. (November 30, 2023 – August 10, 2024).
Rubio Herrero, J. (Principal), "Mathematical Characterization of Interregional Freight Flows by Road," Sponsored by St. Mary’s University, Private, $4995 Funded. (June 1, 2018 – May 31, 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
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    • The instructor’s contribution to the course was
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    • The instructor’s effectiveness in teaching the subject matter was
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    • 
			
  • 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
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    • The intellectual challenge presented was
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    • The amount of effort you put into this course was
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    • The amount of effort to succeed in this course was
      • 
					
    • Your involvement in course (doing assignments, attending classes, etc.) was
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