Grants per year
Personal profile
Research Interests
As a design engineer in the automotive parts industry, Professor Ankenman has found that an engineer's job depends on the ability to efficiently collect and analyze data. Since many engineers have limited access to statistical methods, his research is to develop simple-to-use, yet statistically powerful tools for the design and analysis of both physical and simulation-based experiments. Since he views statistical methods as tools to be used for a purpose, he is concerned with the entire process of design, development, and continuous improvement in industry, with special attention to meeting human needs with technology.
Education/Academic qualification
Industrial Engineering, PhD, University of Wisconsin-Madison
… → 1995
Manufacturing Systems Engineering, MS, University of Wisconsin-Madison
… → 1990
Electrical Engineering, BS, Case Western Reserve University
… → 1984
Research interests keywords
- Applied statistical methods
- Design of Simulation Experiments
- Engineering design
- Engineering development
- Quality control
- Quality improvement
- Statistical design of industrial and simulation experiments
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Collaborations and top research areas from the last five years
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Shock Patients: Interprofessional Communication to Enhance Diagnosis (SPICED)
Stey MD MSc, A., Berry, A. B., Ankenman, B. E., Furmanchuk, A., Johnson, J., Wallia, A. & Stey MD MSc, A.
Agency for Healthcare Research and Quality
8/1/23 → 7/31/27
Project: Research project
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Accelerate AHEAD Study: Evaluating Diabetes Technology Use in Primary Care
Wallia, A., Ankenman, B. E., Bailey, S. C., Berry, A. B., Gatchell, D. W., Lee, J., O'Brien, M. J., Pack, A. P. & Rees Lewis, D. G.
Albert Einstein College of Medicine, National Institute of Diabetes and Digestive and Kidney Diseases
5/1/22 → 3/31/24
Project: Research project
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Adaption, Implementation and Testing of a Telehealth Diabetes Discharge Intervention to Improve Transitions of Care
Wallia, A., Wallia, A., Ackermann, R. T., Ackermann, R. T., Ankenman, B. E., Ankenman, B. E., Ankenman, B. E., Bailey, S. C., Bailey, S. C., Berry, A. B., Berry, A. B., Gatchell, D. W., Gatchell, D. W., Gatchell, D. W., Lee, J., Lee, J. & Rees Lewis, D. G.
National Institute of Diabetes and Digestive and Kidney Diseases
12/1/21 → 11/30/24
Project: Research project
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Composite grid designs for adaptive computer experiments with fast inference
Plumlee, M., Erickson, C. B., Ankenman, B. E. & Lawrence, E., Sep 1 2021, In: Biometrika. 108, 3, p. 749-755 7 p.Research output: Contribution to journal › Article › peer-review
4 Scopus citations -
Gradient-based criteria for sequential experiment design
Erickson, C. B., Ankenman, B. E., Plumlee, M. & Sanchez, S. M., Nov 2021, In: Quality and Reliability Engineering International. 37, 7, p. 3084-3107 24 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Improving Prehospital Stroke Diagnosis Using Natural Language Processing of Paramedic Reports
Mayampurath, A., Parnianpour, Z., Richards, C. T., Meurer, W. J., Lee, J., Ankenman, B., Perry, O., Mendelson, S. J., Holl, J. L. & Prabhakaran, S., Aug 1 2021, In: Stroke. 52, 8, p. 2676-2679 4 p.Research output: Contribution to journal › Article › peer-review
Open Access11 Scopus citations -
Comparison of Gaussian process modeling software
Erickson, C. B., Ankenman, B. E. & Sanchez, S. M., Apr 1 2018, In: European Journal of Operational Research. 266, 1, p. 179-192 14 p.Research output: Contribution to journal › Article › peer-review
Open Access56 Scopus citations -
Data from fitting Gaussian process models to various data sets using eight Gaussian process software packages
Erickson, C. B., Ankenman, B. E. & Sanchez, S. M., Jun 2018, In: Data in Brief. 18, p. 684-687 4 p.Research output: Contribution to journal › Article › peer-review
Open Access
Datasets
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Sliced Full Factorial-Based Latin Hypercube Designs as a Framework for a Batch Sequential Design Algorithm
Duan, W. (Contributor), Ankenman, B. E. (Creator), Sanchez, S. M. (Creator) & Sanchez, P. J. (Creator), Taylor & Francis, 2015
DOI: 10.6084/m9.figshare.1603543, https://tandf.figshare.com/articles/dataset/Sliced_Full_Factorial_Based_Latin_Hypercube_Designs_as_a_Framework_for_a_Batch_Sequential_Design_Algorithm/1603543
Dataset