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Seminar Series: Fall 2016 - Spring 2017
The seminar series will usually take place on Fridays in a Business Building room, but the exact time and location could be different due to a variety of factors including room availability in the Business Building. For actual direction to the Business Building, please see campus map. For additional information contact Dr. Kefeng Xu, (210) 458-5388.

Friday, November 11, 2016, Business Building, , 4.02.10 (Executive Conference Room)

  • Presenter: Dr. Chen-Pin Wang, Assistant Professor, Department of Epidemiology and Biostatistics UT Health Science Center San Antonio

  • Presentation Title: An Integrated Statistical Framework for Assessing Health Disparity

  • Abstract: This talk will present a method that combines the statistical learning with a hybrid-inverse propensity score weighting (IPSW) approaches for assessing the extent to which an intervention could reduce health disparity. The statistical learning component is proposed to identify candidate models (unsupervised learning) that yield valid prediction targets for clinical prognostics (supervised learning). The hybrid-IPSW method is incorporated to calibrate the differences between subpopulations who express disparate health outcomes partly attributed to the difference in the 'allowable' covariates as well as the differences between the intervention and control arms. Catered refreshments will be served.


Friday,Nov. 18, 2016, at 11am-12noon, Business Building 4.02.10 (Executive Conference Room)

  • Presenter: Dr. Manoj K. Malhotra The Jeff B. Bates Professor Chair of the Management Science Department Darla Moore School of Business University of South Carolina

  • Presentation Title: Optimization and Development of Big Data Packaging Solutions for

  • Abstract: There has been much interest in the use of big data and analytics in both industry and academia over the past few years.  In this presentation, we take a pragmatic process-focused approach in merging these two perspectives to elicit success factors that we believe are associated with the successful use of Big Data in solving real world problems. We illustrate our approach through an actual study conducted at distribution warehouse in Carrollton, Georgia. Its objective was to create packaging solutions in a dynamic setting characterized by constraints on number of packaging lines and changing demand patterns that show seasonal variations. Significant improvements are demonstrated, and lessons learned from this study and a variety of other industrial implementations are used to generalize and create insights on effective use of big data in the broader context.

    Biography: Manoj K. Malhotra is the Jeff B. Bates Professor and the Chair of the Management Science Department since 2000 at the Darla Moore School of Business, University of South Carolina (USC), Columbia. Manoj’s research has thematically focused on the deployment of flexible resources in manufacturing and service firms, operations and supply chain strategy, and on the interface between operations management and other functional areas of business such as information systems and marketing.  His work on these and related issues has been published in the leading refereed journals of the field such as Decision SciencesEuropean Journal of Operational Research, Interfaces, Journal of Operations Management, and Production and Operations Management. Manoj has been recognized for his pedagogical and scholarly contributions through several teaching and discipline-wide research awards. He is also the co-author of a leading textbook in the operations management field, which has been translated into several languages and is used around the globe.

    Manoj is also the founding Director of the Center for Global Supply Chain and Process Management (GSCPM). This Center has garnered over $3.5 Million in industry support since its inception in 2005 from firms such as Carolina Healthcare Systems, Coca Cola Bottling, Colonial, Ingersoll Rand, Johnson & Johnson, Michelin, Pfizer, Price Waterhouse Coopers, Siemens, and Textron among others. Manoj has conducted seminars, and consulted with and advised firms such as Avaya, Continental, Cummins Turbo Technologies, Delta Airlines, John Deere, Metso Paper, Nephron Pharmaceuticals, Palmetto Health, Sonoco, Prysmian, Verizon, Walmart, and Westinghouse-Toshiba.

    He is currently the President-Elect of Production and Operations Management Society (POMS), the premier professional organization in Management Science. He is also the senior editor of Decision Sciences, and sits on the editorial boards of many journals.


Friday, December 9, 2016, at 2-3pm, Business Building 4.02.10 (Executive Conference Room)

  • Presenter: Dr. Byeongyeob Choi, Assistant Professor, Department of Epidemiology and Biostatistics UT Health Science Center San Antonio

  • Presentation Title: Two-stage Estimation of Structural Instrumental Variable Models with Coarsened Data

  • Abstract: Two-stage least squares is a popular estimation method for structural equations models with unmeasured confounders. In such models, both the outcome and exposure are assumed to follow linear models conditional on the measured confounders and instrumental variables, which is related to the outcome only via its relation with the exposure. We consider coarsened data, where both the outcome and exposure may be incompletely observed, which includes the special case where both the outcome and exposure are censored event times. A general class of two-stage minimum distance estimators is proposed that separately fits the linear models for the outcome and exposure and then estimates the true exposure effect on the outcome using a reduced form model, where the exposure of the outcome is replaced by the instrumental variables. An optimal minimum distance estimator is identified and shown to be theoretically superior to the usual two-stage least squares estimator with fully observed data. Simulation studies demonstrate that the proposed methods perform well with realistic sample sizes. Their practical utility is illustrated in a study of the comparative effectiveness of colon cancer treatments, where the effect of chemotherapy on censored survival times is confounded with patient status.


Friday, March 10, 2107, at 2-3pm, Business Building 3.01.02

  • Presenter: Victor De Oliveira Professor Department of Management Science and Statistics University of Texas at San Antonio

  • Presentation Title: The Density Ratio Model: A Semiparametric Approach for Data Fusion

  • Abstract: On numerous occasions data from many sources are available to the analyst, which results in many samples. Combining or fusing these different sources of information has obvious benefits in terms of obtaining more precise and accurate answers to the scientific questions at hand. The relevant issue is how to combine or fuse this information in a consistent and statistically valid way for improved inference. Two powerful tools are developed that address this issue: the use of weighted systems of distributions to model data from different sources, in which one system serves as a reference distribution and the rest are distortions from the reference distribution, and the use of empirical likelihood to carry out the different inferential tasks of interest. This talk describes a semiparametric model, called the density ratio model, and provides two illustrations of its use: an analysis of radar precipitation data obtained from two different measuring instruments, and an analysis of motor vibration data measured by an accelerometer at three different locations on a motor.



Monday, April 3, 2017, at 6 p.m., Faculty Center Assembly Room (JPL 4.04.22), John Peace Library, UTSA Main Campus

  • Presenter: Barry D. Nussbaum, President, American Statistical Association

  • Presentation Title: What Did You Tell the President?--Using Statistics to Make a Difference

  • Abstract: A statistician can make a big difference in influencing decisions and actions in many fields. But this success always depends on the ability to succinctly explain results so decision makers may correctly integrate analyses into their actions. This presentation will demonstrate what to do, and what not to do. Examples will be discussed including analyses used in court cases and material presented to the President of the United States. Further, big data is reviewed in the context of whether Uber is in the big data driver’s seat. Finally, the “ASA and you” presents the benefits of ASA involvement.



Friday, April 14, 2017, at 11am-12noon, Business Building, BB 3.02.30

  • Presenter: Dr. Jeriad Zoghby, Managing Director, SouthWest Agency Lead for Accenture Interactive and Global Lead of Personalization, Accenture.

  • jeriad
  • Presentation Title: The Future State of Personalization

  • Abstract: Today, the digitization of everything has shifted power from companies to consumers. Personalized, consumer-driven experiences are the key to success, but to deliver on the personalization promise, brands must design experiences unique to each individual. In this session, Jeriad will discuss the current state and the technologies enabling it, what separates the winners & losers in the experience battlefield, and the future state of Personalization. From an analytics perspective, Jeriad will touch on some of the artificial intelligence work related to personalization.
  • A relevant weblink is
  • Biography: With a Ph.D. in operations research /management science from the University of Texas at Austin, Jeriad Zoghby's specialties include Personalized experiences, digital marketing, experience optimization, customer centricity, customer portfolio strategies, digital advertising, customer genome, digital analytics, media optimization, DMP, personalization technologies. He currently leads Accenture Interactive's SouthWest Digital Agency. With experience as the new battlefield, the agency is laser focused on helping clients create the best customer experiences on the planet. Our experience architects combine the services of a creative agency + business consultancy + technology powerhouse to create disruptive experiences at scale. Jeriad is also the global lead for Personalization whose offerings enable clients to create uniquely curated experiences in real time for each individual & context in a seamless manner across channels.





==>Stay tuned, please. We are in the process of adding speakers to our seminar series for the academic year.




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