Dr. Inbal Yahav-Shenberger

Dr.
Dr. Inbal Yahav-Shenberger
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CV

 

I am a faculty member at the Graduate School of Business Administration, Bar-Ilan University, Israel.

 

I received my B.A. in Computer Science and my M.Sc in Industrial Engineering from the Israel Institute of Technology and my PhD in Operations Research and Data Mining from the University of Maryland, College Park.

Research

My main interest lies on the interface between data mining and operations research. In my research work, I combine techniques from these two fields to achieve improved algorithms. I apply the methods mainly to health care applications and online auctions.

Publications

 

 

Work in Progress

  • Yahav I., Barnes S. and Golden, B., Early Detection of Bioterrorism: a Combined Social and Spatial Network Analysis. Submitted.
  • Yahav I., Network Analysis to Understand Consumers' Choice in the Film Industry and Predict Pre-Release Weekly Box-Office Revenue.
  • Shmueli G. and Yahav I. The Forest or the Trees? Tackling Simpson's Paradox with Classification \& Regression Trees

 

Published Work

  • Yahav I. and Shmueli G., Outcomes Matter: Estimating Pre-Transplant Survival Rates of Kidney-Transplant Patients Using Simulation-Based Propensity Scores. Annals of Operations Research, 2013. Forthcoming. Link
  • Yahav I. and Shmueli G., Directionally-Sensitive Multivariate Control Charts in Practice: Application to Biosurveillance. Quality and Reliability Engineering International, 2013. Accepted. Link
  • Yahav I., Modeling Kidney Allocation: A Data-Driven Optimization Approach. John Wiley & Sons forthcoming monograph "Statistical Methods in Healthcare: Planning, Delivering, and Monitoring Care". Wiley Online Library, 2012. Link
  • Yahav I. and Shmueli G., On Generating Multivariate Poisson Data in Management Science Applications. Applied Stochastic Models in Business and Industry. Wiley Online Library, 2011Link
  • Lieberman M.D., Taheri S., Guo H., Mir-Rashed, F., Yahav I., Aris A., Shneiderman B., Visual Exploration Across Biomedical Databases. IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol 8(2), pp. 536-550. Link
  • Yahav I. and Shmueli G., Predicting survival rates from databases with existing allocation policies. In proceedings of the 5th INFORMS Workshop on Data Mining and Health Informatics. Link
  • Jank W. and Yahav I., E-Loyalty Networks in Online Auctions. In Annals of Applied Statistics, 2010, vol 4(1), pp 151-178. Link
  • Lotze T., Shmueli G. and Yahav I., Simulating and Evaluating Biosurveillance Datasets. Biosurveillance: Methods and Case Studies: Chapman and Hall, 2010, pp. 23-52Link
  • Yahav I., Lotze T. and G Shmueli., Algorithm Combination for Improved Detection in Biosurveillance. Infectious Disease Informatics and Biosurveillance: Integrated Series in Information Systems: Springer, 2010, vol 27(1), pp. 173-189. Link
  • Jank W., Shmueli G., Dass M., Yahav I. and Zhang S., Statistical Challenges in eCommerce: Modeling Dynamic and Networked Data. Tutorials in Operations Research: INFORMS, 2008. Link
  • Chen Y., Cornick N.U., Hall A., Sahajpal R., Silberholz J., Yahav I. and Golden B., Comparison of Heuristics for Solving the GMLST Problem. In Telecommunications Modeling, Policy, and Technology, vol 44, pp 191-217. Link
  • Yahav I., Raschid L. and Andrade H., Bid Based Scheduler with Backfilling for a Multiprocessor System. In proceedings of the International Center of Electronic Commerce (ICEC), 2007. Link
  • Yahav I. and Shmueli G., Algorithm Combination for Improved Performance in Biosurveillance Systems. In Lecture Notes in Computer Science, vol 4506 ("Intelligence and Security Informatics: Biosurveillance"), Proceedings of the second NSF Workshop on BioSurvelleillance, 2007, pp 91-102. Link
  • Yahav I., Gal A. and Larson N., Bid-Based Approach for Pricing Web Service. In proceedings of the 14th International Conference on Cooperative Information Systems (CoopIS 2006), 2006, pp 360-376. Link

 

 

Courses

 

Social Network Analysis  (70-759, MBA Core)

Social Network Analysis is a second level MBA core course that examines the effect of social networks on different aspects of the society. The course covers three main topics: introduction to literature and applications of social networks, statistical and computational techniques to understand and analyze networks, and the evolving role of social networks in Organizations. It also introduces a variety of network visualization and analysis tools.

 

Advanced Reseach Methods  (70-793, MBA Core)

This course focuses conducting research in the marketing and management domains. The goal of the course is to provide students with modern and advanced tools to plan, design, execute and report scientific research. Among the list of the topics are online data collection, data visualization, and advanced research tools.

 

Software Quality Assurance  (70-761, MBA Core)

Software quality assurance is a fundamental element of software development. Quality assurance begins at product planning and continues through its entire life cycle. This class reviews the concepts, techniques, and issues of each stage in the software development process. In particular, it covers four main topics: quality assurance activities in a product life cycle, quality control, software quality standards, and quality-costs trade-offs.