Air transportation simulation: SimAir: a stochastic model of airline operations. - Jay M. Rosenberger; Andrew J. Schaefer; David Goldsman; Ellis L. Johnson; Anton J. Kleywegt; George L. Nemhauser (WSC, 2000)

A Stochastic Model of Airline Operations. - Jay M. Rosenberger; Andrew J. Schaefer; David Goldsman; Ellis L. Johnson; Anton J. Kleywegt; George L. Nemhauser (Transp. Sci., 2002)

Rerouting Aircraft for Airline Recovery. - Jay M. Rosenberger; Ellis L. Johnson; George L. Nemhauser (Transp. Sci., 2003)

Simulation Modelling for a Bus Manitenance Facility. - Manivannan Ramadass; Jay M. Rosenberger; Brian Huff; Stephanie Gonterman; Rajesh N. Subramanian (WSC, 2004)

A Robust Fleet-Assignment Model with Hub Isolation and Short Cycles. - Jay M. Rosenberger; Ellis L. Johnson; George L. Nemhauser (Transp. Sci., 2004)

A data-integrated nurse activity simulation model. - Durai Sundaramoorthi; Victoria C. P. Chen; Seoung Bum Kim; Jay M. Rosenberger; Deborah F. Buckley-Behan (WSC, 2006)

Simulation of unit loading device inventory in airline operations. - Chatabush Roongrat; Jay M. Rosenberger; Brian Huff (WSC, 2008)

Stochastic programming for nurse assignment. - Prattana Punnakitikashem; Jay M. Rosenberger; Deborah F. Buckley-Behan (Comput. Optim. Appl., 2008)

Optimizing revenue in CDMA networks under demand uncertainty. - Eli V. Olinick; Jay M. Rosenberger (Eur. J. Oper. Res., 2008)

A Branch-and-Price-and-Cut Method for Ship Scheduling with Limited Risk. - Hee-Su Hwang; Siriwat Visoldilokpun; Jay M. Rosenberger (Transp. Sci., 2008)

A hybrid approach of goal programming for weapon systems selection. - Jaewook Lee 001; Suk-Ho Kang; Jay M. Rosenberger; Seoung Bum Kim (Comput. Ind. Eng., 2010)

Data mining modeling on the environmental impact of airport deicing activities. - Huiyuan Fan; Prashant K. Tarun; Dachuan T. Shih; Seoung Bum Kim; Victoria C. P. Chen; Jay M. Rosenberger; Dan Bergman (Expert Syst. Appl., 2011)

A multivariate adaptive regression splines cutting plane approach for solving a two-stage stochastic programming fleet assignment model. - Venkata L. Pilla; Jay M. Rosenberger; Victoria C. P. Chen; Narakorn Engsuwan; Sheela Siddappa (Eur. J. Oper. Res., 2012)

A Framework for Optimizing the Use of Systems Engineering on Proposals. - Clement Smartt; Susan Ferreira; Jay M. Rosenberger; Herbert W. Corley (CSER, 2014)

Novel hybrid market price forecasting method with data clustering techniques for EV charging station application. - Piampoom Sarikprueck; Wei-Jen Lee; Asama Kulvanitchaiyanunt; Victoria C. P. Chen; Jay M. Rosenberger (IAS, 2014)

Efficient computer experiment-based optimization through variable selection. - Dachuan T. Shih; Seoung Bum Kim; Victoria C. P. Chen; Jay M. Rosenberger; Venkata L. Pilla (Ann. Oper. Res., 2014)

A linear program for system level control of regional PHEV charging stations. - Asama Kulvanitchaiyanunt; Victoria C. P. Chen; Jay M. Rosenberger; Piampoom Sarikprueck; Wei-Jen Lee (IAS, 2015)

Constraint Optimal Selection Techniques (COSTs) for nonnegative linear programming problems. - Goh Saito; Herbert W. Corley; Jay M. Rosenberger; Tai-Kuan Sung; Alireza Noroziroshan (Appl. Math. Comput., 2015)

Optimizing Load Control in a Collaborative Residential Microgrid Environment. - Majid Ahmadi; Jay M. Rosenberger; Wei-Jen Lee; Asama Kulvanitchaiyanunt (IEEE Trans. Smart Grid, 2015)

Mixed integer linear programming approaches for land use planning that limit urban sprawl. - Piyush Kumar; Jay M. Rosenberger; Gazi Md Daud Iqbal (Comput. Ind. Eng., 2016)

A Sparse Dictionary Learning Framework to Discover Discriminative Source Activations in EEG Brain Mapping. - Feng Liu 011; Shouyi Wang; Jay M. Rosenberger; Jianzhong Su; Hanli Liu (AAAI, 2017)

Supervised EEG Source Imaging with Graph Regularization in Transformed Domain. - Feng Liu 011; Jing Qin 003; Shouyi Wang; Jay M. Rosenberger; Jianzhong Su (BI, 2017)

EEG source imaging based on spatial and temporal graph structures. - Jing Qin 003; Feng Liu 011; Shouyi Wang; Jay M. Rosenberger (IPTA, 2017)

Supervised Discriminative EEG Brain Source Imaging with Graph Regularization. - Feng Liu 011; Rahilsadat Hosseini; Jay M. Rosenberger; Shouyi Wang; Jianzhong Su (MICCAI (1), 2017)

Global optimization of non-convex piecewise linear regression splines. - Nadia Martinez; Hadis Anahideh; Jay M. Rosenberger; Diana Martinez; Victoria C. P. Chen; Bo Ping Wang (J. Glob. Optim., 2017)

Graph Regularized EEG Source Imaging with In-Class Consistency and Out-Class Discrimination. - Feng Liu 011; Jay M. Rosenberger; Yifei Lou; Rahilsadat Hosseini; Jianzhong Su; Shouyi Wang (IEEE Trans. Big Data, 2017)

Estimating Latent Brain Sources with Low-Rank Representation and Graph Regularization. - Feng Liu 011; Shouyi Wang; Jing Qin 003; Yifei Lou; Jay M. Rosenberger (BI, 2018)

Data-driven optimization for Dallas Fort Worth International Airport deicing activities. - Huiyuan Fan; Prashant K. Tarun; Victoria C. P. Chen; Dachuan T. Shih; Jay M. Rosenberger; Seoung Bum Kim; Robert A. Horton (Ann. Oper. Res., 2018)

Unmanned aerial vehicle routing in the presence of threats. - Kamil A. Alotaibi; Jay M. Rosenberger; Stephen P. Mattingly; Raghavendra Kumar Punugu; Siriwat Visoldilokpun (Comput. Ind. Eng., 2018)

Study of time-dependent queuing models of the national airspace system. - Na Wang; Chatabush Roongrat; Jay M. Rosenberger; Padmanabhan K. Menon; Kamesh Subbarao; Prasenjit Sengupta; Monish D. Tandale (Comput. Ind. Eng., 2018)

Linear Programming for Multi-Agent Demand Response. - Alireza Fallahi; Jay M. Rosenberger; Victoria C. P. Chen; Wei-Jen Lee; Shouyi Wang (IEEE Access, 2019)

An optimization-based traffic diversion model during construction closures. - Arezoo Memarian; Jay M. Rosenberger; Stephen P. Mattingly; James C. Williams 001; Hossein Hashemi 002 (Comput. Aided Civ. Infrastructure Eng., 2019)

Efficient approximate dynamic programming based on design and analysis of computer experiments for infinite-horizon optimization. - Ying Chen; Feng Liu 011; Jay M. Rosenberger; Victoria C. P. Chen; Asama Kulvanitchaiyanunt; Yuan Zhou (Comput. Oper. Res., 2020)

Addressing state space multicollinearity in solving an ozone pollution dynamic control problem. - Bancha Ariyajunya; Ying Chen; Victoria C. P. Chen; Seoung Bum Kim; Jay M. Rosenberger (Eur. J. Oper. Res., 2021)

Fast knot optimization for multivariate adaptive regression splines using hill climbing methods. - Xinglong Ju; Victoria C. P. Chen; Jay M. Rosenberger; Feng Liu 011 (Expert Syst. Appl., 2021)

High-dimensional black-box optimization under uncertainty. - Hadis Anahideh; Jay M. Rosenberger; Victoria C. P. Chen (Comput. Oper. Res., 2022)

Global optimization on non-convex two-way interaction truncated linear multivariate adaptive regression splines using mixed integer quadratic programming. - Xinglong Ju; Jay M. Rosenberger; Victoria C. P. Chen; Feng Liu 011 (Inf. Sci., 2022)

A discrete-event simulation tool for airport deicing activities: Dallas-Fort Worth International Airport. - Hui-Chiao Jen; Brian L. Huff; Aera K. Leboulluec; Bahareh Nasirian; Seoung Bum Kim; Jay M. Rosenberger; Victoria C. P. Chen (Simul., 2022)

Emotion Recognition and EEG Analysis Using ADMM-Based Sparse Group Lasso. - Kin Ming Puk; Shouyi Wang; Jay M. Rosenberger; Kellen C. Gandy; Haley Nicole Harris; Yuan Bo Peng; Anne Nordberg; Peter Lehmann; Jodi Tommerdahl; Jung-Chih Chiao (IEEE Trans. Affect. Comput., 2022)

An Optimization Framework to Study the Balance Between Expected Fatalities Due to COVID-19 and the Reopening of U.S. Communities. - Victoria C. P. Chen; Yuan Zhou; Alireza Fallahi; Amith Viswanatha; Jingmei Yang; Feng Liu 011; Nilabh S. Ohol; Yasaman Ghasemi; Ashkan Aliabadi Farahani; Jay M. Rosenberger; Jeffrey B. Guild (IEEE Trans Autom. Sci. Eng., 2022)

Enhancing Urban Parking Efficiency Through Machine Learning Model Integration. - Sai Sneha Channamallu; Sharareh Kermanshachi; Jay M. Rosenberger; Apurva Pamidimukkala (IEEE Access, 2024)

Evaluating the Impact of Smart Parking Systems on Parking Violations. - Atusa Javaheri; Sai Sneha Channamallu; Sharareh Kermanshachi; Jay M. Rosenberger; Apurva Pamidimukkala; Chen Kan; Greg Hladik (IEEE Access, 2024)

Design of experiments for the stochastic unit commitment with economic dispatch models. - Nahal Sakhavand; Jay M. Rosenberger; Victoria C. P. Chen; Harsha Gangammanavar (EURO J. Comput. Optim., 2024)

A design and analysis of computer experiments based mixed integer linear programming approach for optimizing a system of electric vehicle charging stations. - Ukesh Chawal; Jay M. Rosenberger; Victoria C. P. Chen; Wei-Jen Lee; Mewan Wijemanne; Raghavendra Kumar Punugu; Asama Kulvanitchaiyanunt (Expert Syst. Appl., 2024)

Prediction of Vacuum Ultraviolet/Ultraviolet Gas-Phase Absorption Spectra Using Molecular Feature Representations and Machine Learning. - Linh Ho Manh; Victoria C. P. Chen; Jay M. Rosenberger; Shouyi Wang; Yujing Yang; Kevin A. Schug (J. Chem. Inf. Model., 2024)

A supervised learning tool for heatwave predictions using daily high summer temperatures. - Gazi Md Daud Iqbal; Jay M. Rosenberger; Matthew Rosenberger; Muhammad Shah Alam; Lidan Ha; Emmanuel Anoruo; Sadie Gregory; Tom Mazzone (Expert Syst. J. Knowl. Eng., 2024)

A two-stage stochastic programming approach for enhancing seismic resilience of water pipe networks. - Azam Boskabadi; Uthman Abiola Kareem; Jay M. Rosenberger; Mohsen Shahandashti; Binaya Pudasaini (Comput. Ind. Eng., 2025)

Theory-guided agent-based modeling for crime prediction and decision support. - Shohreh Moradi; Yuan Zhou; Christi L. Gullion; Jay M. Rosenberger; Victoria C. P. Chen; Chen Kan (Expert Syst. Appl., 2026)