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The Quality and Productivity Section announces the 2024 Mary G. and Joseph Natrella Scholarship, which will support student participation in the upcoming Joint Research Conference (JRC). Winners will each receive a $3500 grant, a $500 stipend toward travel and housing expenses, complimentary registration for the conference, and complimentary registration for the pre-conference tutorial given in conjunction with the conference. In addition, winners will give a presentation on their statistical work (applications or research) at the JRC, which will be held in Waterloo, ON Canada from June 17-20, 2024. The scholarship is funded by the Q&P Mary G. and Joseph Natrella Scholarship Fund and the Quality and Productivity Research Conference. |
Purpose and History
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The scholarship was initiated by a contribution to the ASA Quality and Productivity Section given by Joseph Natrella at the time of Mary Natrella's death to honor her many contributions to the statistical community. The Natrella's always maintained a strong mutual interest in quality applications of statistics. Mary was for many years a staff member of the Statistical Engineering Division of the National Institute of Standards and Technology (NIST). Joe's career was primarily with the Department of Defense and NASA as a mathematician in charge of data processing and computations.
Mary's most important publication, NBS Handbook 91: Experimental Statistics, is one of the all-time best selling publications of NIST. Originally published in 1963 by the Government Printing Office, it was later reprinted by Wiley-InterScience in its Selected Government Publications series, and also has been reprinted in paperback by Dover Publications. The ASA Q&P Section established the scholarship in 2000 to honor Mary's 36 years as an author, teacher and consulting statistician.
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Eligibility
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Application is open to students who are currently pursuing a master's or doctoral degree full-time in an accredited college or university. The student must have a demonstrated interest in quality applications as evidenced by course work, research topic, prior work experience, etc. Applicants should be prepared to make a presentation of their research work at the 2024 Joint Research Conference. Applicants will receive equal consideration regardless of age, color, country of origin, country of residence, creed, disability, ethnicity, gender, marital status, military status, race, or sexual orientation. Students who have previously received the Natrella Scholarship are not eligible to apply again.
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Selection Criteria
| The Natrella Scholarship Award Committee will select scholarship recipients based principally on the following criteria: |
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These secondary criteria also will be considered: |
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Important Dates and Forms
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The deadline for application is March 18, 2024. Scholarship applicants will be notified of the results on March 31, 2024. The scholarships will be awarded at the conference banquet on June 18, 2024. More information about the conference is available here.
Application Form
Recommendation Form
(Note: Filling out and signing the application form may require using Acrobat Reader rather than filling out the form in a browser.)
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Previous Scholarship Recipients
2023
Ann Marie Weideman
Department of Biostatistics, University of North Carolina at Chapel Hill
Recommended by Dr. Michael Hudgens and Dr. Gary Koch
Abstract Title: "Canopy2: Tumor Phylogeny Inference Using Bulk DNA and Single-Cell RNA Sequencing"
Michael Biehler
H. Milton Stewart School of Industrial & Systems Engineering, Georgia Institute of Technology
Recommended by Dr. Jianjun Shi and Dr. Jing Li
Abstract Title: "DETONATE: Nonlinear Dynamic Evolution Modeling of Time-Dependent Three-Dimensional Point Cloud Profiles"
2022
Annie Sauer
Department of Statistics, Virginia Polytechnic Institute and University
Recommended by Dr. Robert B. Gramacy and Dr. Jennifer Van Mullekom
Abstract Title: "Vecchia-Approximated Deep Gaussian Processes for Computer Experiments"
Yinan Wang
Grado Department of Industrial and Systems Engineering, Virginia Polytechnic Institute and University
Recommended by Dr. Xiaowei Yue and Dr. Judy Jin
Abstract Title: "Engineering-driven Statistical Learning Methods with Applications to Quality Improvement in Smart Manufacturing"
2021
Minhee Kim
Department of Industrial and Systems Engineering, University of Wisconsin - Madison
Recommended by Dr. Kaibo Liu and Dr. Po-ling Loh
Abstract Title: "Covariate Dependent Sparse Functional Data Analysis"
Siddhesh Kulkarni
Department of Bioinformatics and Biostatistics, University of Louisville
Recommended by Dr. Jeremy Gaskins and Dr. Subhadip Pal
Abstract Title: "A Bayesian Approach for Joint Estimation for Sparse Canonical Correlation and Graphical Models"
2020
Conference Cancelled due to COVID-19 Pandemic, No Scholarships Awarded
2019
Jiangeng Huang
Department of Statistics, Virginia Tech
Recommended by Dr. Robert B. Gramacy and Dr. Jennifer Van Mullekom
Abstract Title: "Connect Model to Reality: On-Site Surrogates for Large-Scale Calibration"
Chanyue Song
Department of Statistics, University of Wisconsin - Madison
Recommended by Dr. Kaibo Liu and Dr. Shiyu Zhou
Abstract Title: "A Generic Framework for Multisensor Degradation Modeling based on Supervised Classification and Failure Surface"
2018
Anh Bui
Industrial Engineering and Management Sciences, Northwestern University
Recommended by Dr. Daniel Apley, and Dr. Chi-Hyuck Jun
Abstract Title: "Monitoring Stochastic Textured Surfaces"
Xiaowei Yue
School of Industrial & Systems Engineering, Georgia Institute of Technology
Recommended by Dr. Jianjun Shi and Dr. Chuck Zhang
Abstract Title: "Engineering-Driven Data Analytics for Quality Improvement"
2017
Simon Tsz Fung Mak
School of Industrial & Systems Engineering, Georgia Institute of Technology
Recommended by Prof. C. F. Jeff Wu and Prof. V. Roshan Joseph
Abstract Title: "Minimax and Minimax Projection Design Using Clustering"
Yan Wang
Department of Biostatistics, University of California, Los Angeles
Recommended by Prof. Honghu Liu and Prof. Carl A. Maida
Abstract Title: "Statistical Methodology for Data Harmonization"
2016
Georgia Mueller-Luckey
Department of Biostatistics, St. Louis University
Recommended by Prof. Steven Rigdon and Dr. Joseph Milbrandt
Abstract Title: "Robustness of Weibull Regression when the Shape Parameter is Not Constant"
Shangjie Xu
Department of Statistics, University of California Riverside
Recommended by Prof. Daniel Jeske and Prof. Linda Penas
Abstract Title: "Weighted EWMA Charts for Monitoring Type I Censored Weibull Lifetimes"
2015
Youngjun Choe
Department of Industrial and Operations Engineering, University of Michigan
Recommended by Prof. Vijay Nair and Prof. Eunshin Byon
Abstract Title: "Uncertainty Analysis for Importance Sampling Estimators with Stochastic Simulations"
Keivan Sadeghzadeh
Department of Mechanical and Industrial Engineering, Northeastern University
Recommended by Prof. Nasser Fard and Prof. Beverly K. Jaeger
Abstract Title: "Analytical Heuristic Decision-Making Methods for Complex High-Dimensional Failure Data Selection and Classification"
2014
Erica Goodrich
Biostatistics Program, Grand Valley State University
Recommended by Prof. Robert Downer and Mr. Jason Gillikin (Priority Health)
Abstract Title: "Exploration of Repeated Measures Logistic Regression for Medication Adherence"
Nathaniel Stevens
Dept. of Statistics and Actuarial Sciences, University of Waterloo
Recommended by Prof. Stefan Steiner and Prof. Jock MacKay
Abstract Title: "Design and Analysis of Measurement System Comparison Studies"
2013
Salah Haridy
Division of Systems and Engineering Management, Nanyang Technological University
Recommended by Prof. Zhang Wu and Prof. Philippe Castagliola (LUNAM Université / Université de Nantes)
Abstract Title: "An Application of Curtailment in Control Charts"
Matthew Plumlee
Department of Industrial and Systems Engineering at the Georgia Institute of Technology
Recommended by Prof. Jianjun Shi and Prof. V. Roshan Joseph
Abstract Title: "Building Accurate Emulators for Stochastic Simulations"
2012
Mohammed Zafar Anis
Department of Mathematics, Bengal Science and Engineering University
Recommended by Prof. Murari Mitra and Prof. Tirthankar Dasgupta (Harvard Univ.)
Abstract Title: "A Review of Process Capability Indices"
Fadel Mounir Megahed
Grado Department of Industrial and Systems Engineering, Virginia Polytechnic Institute and State University
Recommended by Prof. William Woodall and Prof. Jaime Camelio
Abstract Title: "From Fault Detection to Diagnosis: An Investigation Using Statistical Process Control and Visual Analytics in High-Density Data Environments"
2011
Tatevik Ambartsoumian
Department of Statistics, University of California Riverside
Recommended by Prof. Daniel Jeske and Prof. Linda Penas
Abstract Title: "Generalized Likelihood Ratio Cusum based on a Nonparametric Kernel Density Estimation"
John Szarka
Department of Statistics, Virginia Polytechnic Institute and State University
Recommended by Prof. William Woodall and Prof. Jeffrey Birch
Abstract Title: "Comparisons to the Early Aberration Reporting System's W2count Method"
2010
Jeffrey Boone
Applied Statistics Program, University of Alabama
Recommended by Prof. Subhabrata Chakraborti and Prof. Marcus Perry
Abstract Title: "Multivariate Nonparametric Shewhart-Type Control Charts"
Laura Freeman
Department of Statistics, Virginia Polytechnic Institute and State University
Recommended by Prof. Geoffrey Vining and Prof. Jeffrey Birch
Abstract Title: "Reliability Data Analysis for Designed Experiments"
2009
Denisa Olteanu
Department of Statistics, Virginia Polytechnic Institute and State University
Recommended by Prof. Geoffrey Vining and Prof. William Woodall
Abstract Title: "Control Charts for the Parameters of Life Time Data Distributions"
Adam Pintar
Department of Statistics, Iowa State University
Recommended by Dr. Christine Anderson-Cook (Los Alamos) and Prof. Huaiqing Wu
Abstract Title: "Mean Squared Error in Model Selection"
2008
Veronica Montes De Oca
Department of Statistics, University of California, Riverside
Recommended by Prof. Daniel Jeske and Dr. Mazda Marvasti (Integrien Corporation)
Abstract Title: “A Nonparametric Cusum Algorithm for Timeslot Sequences with Applications to Network Surveillance”
Abdel-Salam G. Abdel-Salam
Department of Statistics, Virginia Polytechnic Institute and State University
Recommended by Prof. Jeffrey Birch and Prof. William Woodall
Abstract Title: “Profile Monitoring Analysis Using Semiparametric Methods”
2007
Shannon Fraker
Department of Statistics, Virginia Polytechnic Institute and State University
Recommended by Prof. William H. Woodall and Prof. Jeffrey B. Birch
Abstract Title: “The Relationship Between the Recurrence Interval and Time-to-Signal Properties of Surveillance Schemes”
Rachel Johnson
Department of Industrial Engineering, Arizona State University
Recommended by Prof. Douglas C. Montgomery and Prof. Connie M. Borror
Abstract Title: “Improvements on Nonlinear Regression Models for Cycle Time-Throughput Curves”
2006
Tirthankar Dasgupta
School of Industrial and Systems Engineering, Georgia Institute of Technology
Recommended by Prof. C. F. Jeff Wu and Roshan Joseph Vengazhiyil
Abstract Title: ″Deriving Optimal Conditions for Large-Scale Controlled Synthesis of Nanostructures Using Statistical Methods″
Shilpa Gupta
Department of Industrial Engineering, Arizona State University
Recommended by Prof. Douglas C. Montgomery and Prof. Connie Borror
Abstract Title: ″Change Point Methods for Monitoring Polynomial Profiles″
2005
Abhyuday Mandal
School of Industrial and Systems Engineering, Georgia Institute of Technology
Recommended by Prof. C. F. Jeff Wu and Prof. Brani Vidakovic
Abstract Title: “SELC: Sequential Elimination of Level Combinations by Means of Modified Genetic Algorithms”
Landon H. Sego
Department of Statistics, Virginia Polytechnic Institute and State University
Recommended by Prof. William Woodall and Prof. Jeffrey Birch
Abstract Title: "Continuously Monitoring a Small Incidence Rate"
2004
Abishek Gupta
Department of Industrial Engineering, Texas A&M University
Recommended by Prof. Emanuel Parzen and Prof. Yu Ding
Abstract Title: "Robust Design of Electronic Packaging Using Sequential Computer Experiments"
Ayca Ozol-Godfrey
Department of Statistics, Virginia Polytechnic Institute and State University
Recommended by Prof. Christine Anderson-Cook and Prof. Geoff Vining
Abstract Title: "Fraction of Design Space Plots for Examining Model Robustness"
2003
Adnan Bashir
Department of Industrial Engineering, Florida State University
Recommended by Prof. Samuel Awoniyi and Prof. James Simpson
Abstract Title: "Constructing Super-Saturated Designs with Genetic Algorithms"
James D. Williams
Department of Statistics, Virginia Polytechnic Institute and State University
Recommended by Prof. Angela Neff-Patterson and Prof. William Woodall
Abstract Title: "Phase I Monitoring of Nonlinear Profiles"
2002
Susan Frost
University of Wyoming
Carla Vivacqua
University of Wisconsin
2001
Susana Eyheramendy
Rutgers University
Recommended by Prof. Regina Y. Liu
Yong Jiang
University of Iowa
Recommended by Prof. Russell Lenth
Xu (Susan) Jiaqiong
University of Waterloo
Recommended by Prof. Stefan Steiner
Willis Jensen
Brigham Young University
Recommended by Prof. G. Rex Bryce
2000
Ana Ivelisse Avilés
Northwestern University
Recommended by Prof. Bruce Ankenman
Dwight Beaudry
Purdue University
Recommended by Prof. George P. McCabe
2000 Honorable Mentions:
Andy Chiang
Iowa State University
Recommended by Prof. Steve Vardeman
Christa Pettway
University of Alabama
Recommended by Prof. Bill Woodall
Dean DeCook
Iowa State University
Recommended by Prof. Max Morris