Ozge Surer

Ozge Surer

Assistant Prof @MiamiOH

Publications

Peer-Reviewed Journal Publications

  1. Özge Sürer, Matthew Plumlee, Stefan M. Wild. Sequential Bayesian experimental design for calibration of expensive simulation models. Technometrics, to appear, 2023. [link]

  2. Özge Sürer, Filomena M. Nunes, Matthew Plumlee, Stefan M. Wild. Uncertainty quantification in breakup reactions. Physical Review C, 106 (024607), 2022. [link]

  3. Özge Sürer, Daniel Apley, Edward C. Malthouse. Coefficient tree regression: Fast, accurate and interpretable predictive modeling. Machine Learning, 2021. [link]

  4. Özge Sürer, Daniel W. Apley, Edward C. Malthouse. Coefficient tree regression for generalized linear models. Statistical Analysis and Data Mining, 14, 407–429, 2021. [link]

  5. Haoxiang Yang, Özge Sürer, Daniel Duque, David Morton, Bismark Singh, Spencer Fox, Remy Pasco, Kelly Pierce, Paul Rathouz, Zhanwei Du, Michael Pignone, Mark E. Escott, Stephen I. Adler, Clairborne Johnston, Lauren Ancel Meyers. Design of COVID-19 staged alert systems to ensure healthcare capacity with minimal closures. Nature Communications, 12, 3767, 2021. [link]

  6. Seda Yanik, Özge Sürer, Basar Oztaysi. Designing sustainable energy regions using genetic algorithms and location-allocation approach. Energy, 161–172. 2016. [link]

Peer-Reviewed Conference Proceedings

  1. Özge Sürer, Matthew Plumlee. Calibration using emulation of filtered simulation results. Proceedings of Winter Simulation Conference, 2021. [link]

  2. Özge Sürer, Robin Burke, Edward C. Malthouse. Multistakeholder recommendation with provider constraints. Proceedings of the 12th ACM Conference on Recommender Systems, 54–62, 2018. [link]

  3. Özge Sürer. Improving similarity measures using ontological data. Proceedings of the 11th ACM Conference on Recommender Systems, 416–420, 2017. [link]

Technical Reports

  1. Paul J. Rathouz, Victoria Valencia, Patrick Chang, David P. Morton, Haoxiang Yang, Özge Sürer, Spencer J. Fox, Elizabeth C. Matsui, Alex B. Haynes, Lauren A. Meyers. Survival analysis methods for analysis of hospitalization data: Application to COVID-19 patient hospitalization experience. Technical Report, 2021. [link]

  2. Nazlican Arslan, Özge Sürer, David P. Morton, Haoxiang Yang, Michael Lachmann, Spencer Woody, Spencer J. Fox, and Lauren Ancel Meyers. COVID-19 alert stages, healthcare projections and mortality patterns in Austin, Texas. Technical Report, 2021. [link]

  3. Haoxiang Yang, Michael Lachmann, Özge Sürer, Spencer J. Fox, David P. Morton, Lauren Ancel Meyers. Projecting Need for a COVID-19 Alternate Care Site (ACS) in Austin. Technical Report, 2021. [link]

  4. Haoxiang Yang, Daniel Duque, Özge Sürer, David Paul Morton, Remy Pasco, Kelly Pierce, Spencer Fox, Lauren Ancel Meyers. Staged strategy to avoid hospital surge and preventable mortality, while reducing the economic burden of social distancing measures. Technical Report, 2020. [link]

Book Chapters

  1. Özge Sürer, Sezi Cevik Onar, Ilker Topcu. Innovation strategy evaluation process using fuzzy cognitive mapping. Intelligent Techniques in Engineering Management, 107–128, 2015. [link]

  2. Basar Oztaysi, Özge Sürer. Supply chain performance measurement using a SCOR based fuzzy VIKOR approach. Supply Chain Management Under Fuzziness, 199–224, 2014. [link]