Contact
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Email
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Primary Office
- S358 Pappajohn Business Building (PBB)
- (319) 335-1016
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Department
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Fax
Websites
Positions
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Professor of Business Analytics
Tippie College of Business
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Associate Dean for Research and PhD Programs
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Complimentary Appointment, Department of Computer Science
College of Liberal Arts and Sciences, The University of Iowa, Iowa City, IA
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Complimentary Appointment, College of Nursing
The University of Iowa, Iowa City, IA
Education
- PhD in Computer Science, University of Wisconsin, 1994
- MS in Computer Science, DePaul University, 1990
- BA in Mathematics and Computer Science, Drake University, 1985
Areas of Interest
- Biomedical informatics
- Data mining
- Machine learning
- Mathematical programming
Professional Memberships
- American Medical Informatics Association
- Association for Computing Machinery
- Association for the Advancement of Artificial Intelligence
- Institute For Operations Research and the Management Sciences
Selected Awards & Honors
- Tippie MBA Business Analytics Professor of the Year, 2018
- Henry B. Tippie Research Professor of Management Sciences, 2014
- Dean's Teaching Award, Tippie College of Business, 2012
- Certificate of Nomination, Outstanding Graduate Mentor Award, University of Iowa Graduate College, 2010
- Henry B. Tippie Research Fellow, Tippie College of Business, 2002
Selected Publications
- Distant diversity in dynamic class prediction. Annals of Operations Research 263 (1-2) 5-19. DOI: 10.1007/s10479-016-2328-8. & (2018).
- Diversity in dynamic class prediction. Tenth INFORMS Workshop on Data Mining and Analytics. & (2015).
- Finding Hierarchical Communities in Complex Networks Using Influence-Guided Label Propagation. pp. 547-556. The 15th IEEE International Conference on Data Mining Workshops (ICDMW 2015). & (2015).
- Topological Resilience Analysis of Supply Networks under Random Disruptions and Targeted Attacks. pp. 250-257. IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM’15). , & (2015).
- Modeling Influence Diffusion to Uncover Influence Centrality and Community Structure in Social Networks. Social Network Analysis and Mining 5 (1). & (2015).
- Dynamic class prediction with classifier based distance measure. Australian Data Mining Conference. & (2014).
- Predicting user engagement in online health communities based on social support activities. Ninth INFORMS Workshop on Data Mining and Analytics,. , & (2014).
- Selecting the right correlation measure for binary data. ACM Transactions on Knowledge Discovery from Data 9 (14). , , , & (2014).
- A novel algorithm for community detection and influence ranking in social networks. IEEE/ACM International Conference on Social Networks Analysis and Mining. & (2014).
- Community detection in graphs through correlation. ACM SIGKDD Conference on Knowledge Discovery and Data Mining. , , & (2014).
Selected Presentations
- Inverse Classification: Better Algorithms for Better Decision Making. Colloquium Bloomington, Indiana. (2017, February)
- Predictive & Prescriptive Analytics for Personalized Health Care Decision Making. Keynote/Plenary Address presented at Informatics Showcase, Iowa City, Iowa. (2017, February)
- From TIMS/ORSA to Analytics: What We Did, What We’re Doing, and How We Pass It On,. Keynote/Plenary Address presented at INFORMS Workshop on Data Mining & Decision Analytics, Nashville, Tennessee. (2016, November)
- Turning More Data into Better Outcomes: Analytics at the University of Iowa. Guest Speaker presented at The Way Up: Developing Women Leaders to Enhance Iowa Higher Education, Coralville, Iowa. (2016, November)
- Predictive Analytics for Personalized Health Care Decision Making. Oral presented at GSS Department Seminar, University of Iowa. (2016, February)
- Topological Resilience Analysis of Supply Networks under Random Disruptions and Targeted Attacks. Paper presented at INFORMS Annual Meeting, Philadelphia. , & (2015, November)
- Predicting Surgical Site Infections in Real-Time. Oral presented at INFORMS Healthcare, Nashville, Tennessee. (2015, July)
- Predictive Analytics for Personalized Health Care Decision Making. Keynote/Plenary Address presented at Belgian Conference on Operations Research, Antwerp, Belgium. (2015, February)
- A Machine-learning Technique for the Prediction of Equity Price Direction. Oral presented at INFORMS National Meeting, San Francisco, California. (2014, November)
- Large-scale Correlation Search in Binary Data. Lecture University of Utah. (2014, October)
Selected Grants & Contracts
- Grant Program Project Grant. Center for Advancing Mutimorbidity Science (CAMS): Profiling risk and symptom expression to develop customized therapies for adults with multiple chronic conditions. Sponsored by NIH / NINR. Funded. September 1, 2018 - August 31, 2023.
- Street, Nick (Co-Principal), Lu, Der-Fa (Principal Investigator) Mining Clinical Data Sets for Nursing Dx, Outcomes and Intervention Links and EBP Validation. Sponsored by Social Sciences Funding Program. Funded. May 1, 2008 - June 30, 2009.
- Street, Nick (Co-Principal), McCarthy, Ann Marie (Principal Investigator) Predicting Children's Responses to Distraction from Pain: Tailored Interventions. Sponsored by NINR. Funded. August 1, 2007 - May 31, 2011.
- Street, Nick (Co-Principal), McCarthy, Ann Marie (Principal Investigator) Operationalizing and Pilot Testing the Computerized Predictive Model for Distration: Interventions for Needle Sticks in Children. Sponsored by Obermann Center for Advanced Studies. Funded. May 15, 2007 - August 24, 2007.
Editorial & Review Activities
- Multikonferenz Wirtschaftsinformatik, Referee, January 2017.