Professor
Department of Industrial Engineering & Management Sciences
Co-Director
The Northwestern Personal Development StudioLab
Northwestern
University
2133 Sheridan Rd.
Evanston, IL 60208
(847) 491-5674
ankenman@northwestern.edu
1. Bette
and Neison Harris Professor of Teaching Excellence
2018-2021.
2.
Charles Deering McCormick Professor of Teaching Excellence
2012-2015.
3.
2013 INFORMS Simulation Society Outstanding Simulation
Publication Award for “Stochastic Kriging for Simulation Metamodeling,” Operations Research, 2010.
4.
NAE Frontiers of Engineering Education Symposium
Participant, Irvine, CA. October, 2012.
5.
Named to Northwestern’s Associated Student Government’s
Faculty Honor Roll. 2007
6.
Visiting Fellow at the University of Southampton for
2004/2005.
7.
McCormick School of Engineering Advisor of the Year -
2002
8.
Morris E. Fine Junior Professor of Materials and
Manufacturing, 1996-1999.
·
Co-Director of the Segal Design Institute: 2012-2022.
·
Faculty Co-Advisor for Design for America: 2009-2017.
· Director
of Undergraduate Programs, Segal Design Institute: 2007-2012.
·
Co-Director of IDEA: 2006-2007.
· Director
of Design Thinking and Communications (formerly EDC): 2003-2004 and 2005-2020.
· Director
of Manufacturing and Design Engineering degree: 2002-2004 & 2007-2011.
·
IDEA Faculty Committee: 2002-2006.
·
Advisory Board: Center for Device Development:
2012-present.
·
Coordinator for Data as Art: Joint Program with
the School of the Art Institute of Chicago: 2013-present.
·
Advising Committee for Northwestern Tiny House
Team: 2010-2013.
· Director
of the MEM program: 2007-2012.
· IEMS
Strategic Planning Committee: 2009-present.
· IEMS
Undergraduate Committee: 2000-2004, 2005-present.
·
IEMS Graduate Committee:1997-2004.
·
Undergraduate Manufacturing Advisory Committee:
1998-2002.
· University
Faculty Reappointment, Promotion, Tenure, and Dismissal Appeal Panel
(UFRPTDAP): 1998-2000.
·
Program Review Committee: Northwestern
Transportation Center (1 year).
·
Program Review Committee: Civil and
Environmental Engineering (1 year).
·
McCormick Academic Standing Committee (3 years).
·
McCormick Curriculum Committee (4 years).
·
McCormick Promotion and Tenure Committee (2
year)
M. Plumlee, C.
B. Erickson, B. E. Ankenman, E. Lawrence. (2021) "Composite grid designs
for adaptive computer experiments with fast inference." Biometrika, 108,
749-755.
Mayampurath, A.,
Parnianpour, Z., Richards, C.T., Meurer,
W.J., Lee, J., Ankenman, B., Perry, O., Mendelson, S.J., Holl, J.L. and
Prabhakaran, S. (2021). Improving Prehospital Stroke Diagnosis Using Natural
Language Processing of Paramedic Reports. Stroke, 52, 2676-2679.
Prince, G.,
Lewis, D. R., Pollack, T., Karam, S., Touma, E., Khorzad, R., Bailey, S.,
Gatchell, D., Ankenman, B., Holl, J., & Wallia, A. (2021). Employing
User-Centered Design and Learning Science Theory to Enhance Remote Delivery of
Diabetes Education and Survival Skills at Hospital Discharge. Journal of the
Endocrine Society, 5, 447.
Erickson, C.B.,
Ankenman, B.E., Plumlee, M., & Sanchez, S.M. (2021). Gradient‐based
criteria for sequential experiment design. Quality and Reliability
Engineering International, 37, 3084-3107.
Coyne, K., Hakimian, S., Pollack, T., Karam, S., Prince, G., Touma, E.,
Gatchell, D.W., Khorzad, R., Ankenman, B., Holl, J. L., Wallia, A. (2020) “631-P:
Front-Line Clinician Perspectives on Immediate Self-Care Needs of Patients with
Diabetes.” Diabetes (New York, N.Y.) 69. Supplement1 (2020).
Lane, J.N.,
Ankenman, B., Iravani, S. (2018) Insight into Gender Differences in Higher
Education: Evidence from Peer Reviews in an Introductory STEM Course. Service Science 10, 442-456.
Erickson,
C.B., Ankenman, B.E., and Sanchez, S.M. (2018) “Comparison of Gaussian process
modeling software”, European Journal of
Operational Research, 266,
179-192.
Duan,
W., Ankenman, B. E., Sanchez, S., and Sanchez, P. (2017) “Sliced Full-Factorial
Latin Hyper Cube Designs as a Framework for a Batch Sequential Design
Algorithm.” Technometrics,
59, 11-22.
Ankenman, B.E., Cheng, R.C.H., Lewis, S. M. (2014) Screening for Dispersion Effects by Sequential Bifurcation. ACM: Transactions on Modeling and Computer Simulation, forthcoming.
Alaeddini, A., Yang, K., Mao, H., Murat, A., and Ankenman, B. (2013) An Adaptive Sequential Experimentation Methodology for Expensive Response Surface Optimization - Case Study in Traumatic Brain Injury Modeling, Quality and Reliability Engineering International, forthcoming.
Dingus, C., Ankenman, B., Dean, A., and Sun, F. (2013) Identification of dispersion effects in replicated two-level fractional factorial experiments, Journal of Statistical Theory and Practice, 7, 687-702.
Alaeddini, A., Yang, K., Murat, A., and Ankenman, B. (2012) An Efficient Adaptive Sequential Methodology for Expensive Response Surface Optimization, Quality and Reliability Engineering International, 29, 799–817.
Chen, X., Ankenman, B. E. and Nelson, B. L. (2012) Enhancing Stochastic Kriging Metamodels with Gradient Estimators, Operations Research, 61, 512-528.
Chen, X.,
Ankenman, B. E., and Nelson, B. L. (2012) The
Effects of Common Random Numbers on Stochastic Kriging Metamodels, ACM:
Transactions on Modeling and Computer Simulation, 22, 7/1-7/20.
Yang, F., Liu, J., Nelson, B. L., Ankenman, B. E. and Tongarlak, M. (2011) Metamodeling for cycle time-throughput-product mix surfaces using progressive model fitting, Production Planning and Control, 22, 50-68.
Tamhane, A. C., Qiu, D., and Ankenman, B. E. (2010) A parametric mixture model for clustering multivariate binary data, Statistical Analysis and Data Mining, 3, 3-19.
Tongarlak, M. H., Ankenman, B. E., Nelson, B. L., Borne, L. and Wolfe, K. (2010), Using Simulation Early in the Design of a Fuel Injector Production Line, Interfaces, 40, 107-117.
Wan, H., Ankenman, B. E. and Nelson, B. L. (2010). Improving the Efficiency and the Efficacy of Controlled Sequential Bifurcation, INFORMS Journal on Computing, 22, 482-492.
Ankenman, B. E., Nelson, B. L. and Staum, J. (2010) Stochastic Kriging for Simulation Metamodeling, Operations Research, 58, 371-382.
Hoyle, C., Chen, W., Ankenman, B., Wang, N. (2009), Optimal Experimental Design of Human Appraisals for Modeling Consumer Preferences in Engineering Design, ASME Journal of Mechanical Design, 131, 071002.
Ankenman B., Benjamin S., and Jacob P. (2008) An innovative design program for engineering students, Topics in Stroke Rehabilitation, 15, 145-145.
Yang, F., Ankenman, B. E., and Nelson, B. L. (2008) Estimating Cycle Time Percentile Curves for Manufacturing Systems via Simulation, INFORMS Journal on Computing, 20, 628-643.
Wan, H. and Ankenman, B. E. (2007) Two-Stage Controlled Fractional Factorial Screening for Simulation Experiments, Journal of Quality Technology, 39, 126-139.
Yang, F., Ankenman, B. E., and Nelson, B. L. (2007) Efficient Generation of Cycle Time-Throughput Curves through Simulation and Metamodeling, Naval Research Logistics, 54, 78-93.
Easter, E. P. and Ankenman B. E. (2006) Evaluation of the care and performance of comfort-stretch knit fabrics, AATCC Review, 6, 28-32.
Wan, H., Ankenman, B. E. and Nelson, B. L. (2006). Controlled Sequential Bifurcation:A New Factor-Screening Method for Discrete-Event Simulation, Operations Research, 54, 743-755.
Easter, E. P. and Ankenman B. E. (2005) A comparison of soil repellent vs. dual action fluorocarbon finishes on cotton blends. AATCC Review, 5, 27-31.
Easter, E. P. and Ankenman B. E. (2004) Care practices for fluorocarbon treated garments: A case study. AATCC Review, 4, 12-16.
Ankenman, B., Colgate J. E., and McKenna A. (2004). IDEA, Implementing design throughout the curriculum at Northwestern, International Journal of Engineering Education, 20,405-411.
Ankenman, B. E. (2003). Identifying Rising Ridge Behavior in Quadratic Response Surfaces, IIE Transactions, 35, 493-502.
Ankenman, B. E., Aviles, A. I. and Pinhiero, J. C. (2003). Optimal Designs for Mixed-Effects Models with two Random Nested Factors, Statistica Sinica, 13, 385-401.
Tamhane,
A. C., Ankenman, B. E. and Yang, Y. (2002). The
Beta Distribution as a Latent Response Model for Ordinal Data (I): Estimation
of Location and Dispersion, Journal
of Statistical Computation and Simulation, 72, 473-494.
Ankenman, B. E., Liu, H., Karr, A. F. and Picka, J. D. (2002). A Class of Experimental Designs for Estimating a Response Surface and Variance Components, Technometrics, 44, 45-54.
Rapoport,
J., Aldea, C. M., Shah, S. P., Ankenman, B. E. and Karr, A. F. (2002). Permeability
of Cracked Steel Fiber-Reinforced Concrete, ASCE Journal of Materials in Civil Engineering, 14, 355-358.
Akkaya, Y., Shah, S. P. and Ankenman, B. E. (2001). Effect of Fiber Dispersion on the Multiple Cracking of Cement Composites, Journal of Engineering Mechanics, 127, 311-316.
Alberts, K. S. and Ankenman, B. E. (2001). Simulating Pearson and Spearman Correlation in Q-Sorts Using Excel: A Simulation Proof of a Widely-Believed Result, Social Science Computer Review, 19, 221-226.
McDaniel, W. R. and Ankenman, B. E. (2000). Comparing Experimental Design Strategies for Quality Improvement with Minimal Changes to Factor Levels, Quality and Reliability Engineering International, 16, 355-362.
McDaniel, W. R. and Ankenman, B. E. (2000). A Response Surface Test Bed, Quality and Reliability Engineering International, 16, 363-372. Test Bed Program and User Guide.
Ankenman, B. E. and McDaniel, W. R. (2000). A p Chart for Monitoring Capability Using Sensitivity Data, Quality Engineering, 12, 462-469.
Jaiswal, S. S., Picka, J. D., Igusa, T., Karr, A. F., Shah, S. P., Ankenman, B. E. and Styer, P. (2000). Statistical Studies of the Conductivity of Concrete Using ASTM C1202-94, Concrete Science and Engineering, 2, 97-105.
Ankenman, B. E. (1999). Design of Experiments with Two-Level and Four-Level Factors, Journal of Quality Technology, 31, 363-375. Tables of Designs
Bisgaard, S. and Ankenman, B. (1996). Standard Errors for the Eigenvalues in Second Order Response Surface Models, Technometrics, 38, 238-246.
Bisgaard, S. and Ankenman, B. (1995). Analytic Parameter Design, Quality Engineering, 8, 75-91.
Ankenman, B., Bisgaard, S. and Osswald, T. A. (1994). Experimental Optimization of Computer Models, Manufacturing Review, 7, 332-345.
Duan, W., Ankenman, B. E., Sanchez, S., and Sanchez, P. Sliced Full-Factorial Latin Hyper Cube Designs as a Framework for a Batch Sequential Design Algorithm. Under revision at Technometrics.
Ankenman, B. E., & Nelson, B. L. (2012, December). A quick assessment of input uncertainty. In Simulation Conference (WSC), Proceedings of the 2012 Winter (pp. 1-10). IEEE.
Tongarlak, M. H., Ankenman, B. E., & Nelson, B. L. (2011, December). Relative error stochastic kriging. In Proceedings of the Winter Simulation Conference (pp. 3628-3640). Winter Simulation Conference.
Chen, X., Ankenman, B., & Nelson, B. L. (2010, December). Common random numbers and stochastic kriging. In Proceedings of the Winter Simulation Conference (pp. 947-956). Winter Simulation Conference.
Ankenman, B., Nelson, B. L., & Staum, J. (2008, December). Stochastic kriging for simulation metamodeling. In Proceedings of the 40th Conference on Winter Simulation (pp. 362-370). Winter Simulation Conference.
Tongarlak, M. H., Ankenman, B., Nelson, B. L., Borne, L., & Wolfe, K. (2008, December). Using simulation early in the design of a fuel injector production line. In Proceedings of the 40th Conference on Winter Simulation (pp. 471-478). Winter Simulation Conference.
Fowler, J. W., Mackulak, G. T., Nelson, B. L., & Ankenman, B. (2007). Multi-Product Cycle Time and Throughput Evaluation Via Simulation on Demand. In Proceedings of the 2007 INFORMS Simulation Society Research Workshop.
Yang, Feng, Liu, J., Tongarlak, M. H., Ankenman, B., Nelson, B. L. (2007). Metamodelling for Cycle Time-throughput-product Mix Surfaces Using Progressive Model Fitting. In Proceedings of the 2007 INFORMS Simulation Society Research Workshop.
Ankenman, B. E., Cheng, R. C., & Lewis, S. M. (2006, December). A polytope method for estimating factor main effects efficiently. In Simulation Conference, 2006. WSC 06. Proceedings of the Winter (pp. 369-375). IEEE.
Yang, F., Ankenman, B. E., & Nelson, B. L. (2005, December). Estimation of percentiles of cycle time in manufacturing simulation. In Simulation Conference, 2005 Proceedings of the Winter (pp. 10-pp). IEEE.
Johnson, R. T., Yang, F., Ankenman, B. E., & Nelson, B. L. (2004). Nonlinear regression fits for simulated cycle time vs. throughput curves for semiconductor manufacturing. In Simulation Conference, 2004. Proceedings of the 2004 Winter (Vol. 2, pp. 1951-1955). IEEE.
Wan, H., Ankenman, B., & Nelson, B. L. (2003). Issues on simulation and optimization I: controlled sequential bifurcation: a new factor-screening method for discrete-event simulation. In Proceedings of the 35th conference on Winter simulation: driving innovation (pp. 565-573). Winter Simulation Conference.
Ankenman, B. E., Bekki, J. M., Fowler, J., Mackulak, G. T., Nelson, B. L., and Yang, F. (2011) Simulation in Production Planning, Chapter 19 in Planning Production and Inventories in the Extended Enterprise: A State of the Art Handbook, Volume 1, International Series in Operations Research & Management Science, Springer, Eds: Kenmpf, K. G. and Uzsoy, R.
Ankenman, B. E. (2008) Robust Design, Chapter 40 in Encyclopedia of Statistics in Quality and Reliability, John Wiley, Eds: Ruggeri, F., Kennet, R. and Faltin, F.
Ankenman, B. E. and Dean, A. M. (2003). Quality Improvement and Robustness via Design of Experiments, Chapter 8 in Handbook of Statistics, Vol. 22, Elsevier Science, Eds: Khattree, R. and Rao, C. R., 263-317.