@article{winkel_stallrich_storlie_reich_2021, title={Sequential Optimization in Locally Important Dimensions}, volume={63}, ISSN={["1537-2723"]}, DOI={10.1080/00401706.2020.1714738}, abstractNote={Abstract Optimizing an expensive, black-box function is challenging when its input space is high-dimensional. Sequential design frameworks first model with a surrogate function and then optimize an acquisition function to determine input settings to evaluate next. Optimization of both and the acquisition function benefit from effective dimension reduction. Global variable selection detects and removes input variables that do not affect across the input space. Further dimension reduction may be possible if we consider local variable selection around the current optimum estimate. We develop a sequential design algorithm called sequential optimization in locally important dimensions (SOLID) that incorporates global and local variable selection to optimize a continuous, differentiable function. SOLID performs local variable selection by comparing the surrogate’s predictions in a localized region around the estimated optimum with the p alternative predictions made by removing each input variable. The search space of the acquisition function is further restricted to focus only on the variables that are deemed locally active, leading to greater emphasis on refining the surrogate model in locally active dimensions. A simulation study across multiple test functions and an application to the Sarcos robot dataset show that SOLID outperforms conventional approaches. Supplementary materials for this article are available online.}, number={2}, journal={TECHNOMETRICS}, author={Winkel, Munir A. and Stallrich, Jonathan W. and Storlie, Curtis B. and Reich, Brian J.}, year={2021}, month={Apr}, pages={236–248} }
 @article{zuluaga_albert_winkel_2020, title={Improving Safety, Efficiency, and Productivity: Evaluation of Fall Protection Systems for Bridge Work Using Wearable Technology and Utility Analysis}, volume={146}, ISSN={["1943-7862"]}, DOI={10.1061/(ASCE)CO.1943-7862.0001764}, abstractNote={AbstractThe construction industry is experiencing a number of challenges. For example, construction workplaces report poor safety performance, widespread inefficiencies, and stagnant productivity r...}, number={2}, journal={JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT}, author={Zuluaga, Carlos M. and Albert, Alex and Winkel, Munir A.}, year={2020}, month={Feb} }
 @article{holosko_winkel_crandall_briggs_2015, title={A Content Analysis of Mission Statements of Our Top 50 Schools of Social Work}, volume={51}, ISSN={["2163-5811"]}, DOI={10.1080/10437797.2015.1012922}, abstractNote={Organizational mission statements of institutions in higher education have been called into question with respect to their relevance and purpose. This study investigated mission statements of the top 50 U.S. News & World Report (2012) ranked schools of social work for their clarity and brevity, content, and relationship to the Council on Social Work Education’s core competencies. A content analysis of these statements raises concerns about their quality and overall function and poses considerable doubts about their overall relevance and usefulness. Implications are directed to all stakeholders concerned about the content and accuracy of school of social work mission statements. The study addresses a distinct void in the literature in this important subject matter.}, number={2}, journal={JOURNAL OF SOCIAL WORK EDUCATION}, author={Holosko, Michael J. and Winkel, Munir and Crandall, Catherine and Briggs, Harold}, year={2015}, month={Apr}, pages={222–236} }