Technology support for collaborative learning in a problem-based curriculum for sustainable technology. - Cindy E. Hmelo; Jorge A. Vanegas; Matthew J. Realff; Bret Bras; Jim Mulholland; Terry Shikano; Mark Guzdial (CSCL, 1995)

Balancing Usability and Learning in an Interface. - Noel Rappin; Mark Guzdial; Matthew J. Realff; Pete Ludovice (CHI, 1997)

On the Application of Explanation-Based Learning to Acquire Control Knowledge for Branch and Bound Algorithms. - Matthew J. Realff; George Stephanopoulos (INFORMS J. Comput., 1998)

Using a CSCL-Driven shift in agency to undertake educational reform. - Mark Guzdial; Matthew J. Realff; Pete Ludovice; Tom Morley; J. Clayton Kerce; Eric Lyons 003; Katherine E. Sukel (CSCL, 1999)

Combined analytical and empirical learning framework for branch and bound algorithms: the knapsack problem. - Matthew J. Realff; Paul H. Kvam; W. E. Taylor (Artif. Intell. Eng., 1999)

Propagation of Interval Values in Simple Processing Networks. - Brett W. Schug; Matthew J. Realff (INFORMS J. Comput., 1999)

Connections as a Focus for Model-Building Learning in Engineering. - Noel Rappin; Mark Guzdial; Matthew J. Realff; Pete Ludovice (Interact. Learn. Environ., 2001)

An algorithmic framework for improving heuristic solutions: Part II. A new version of the stochastic traveling salesman problem. - Jaein Choi; Jay H. Lee; Matthew J. Realff (Comput. Chem. Eng., 2004)

Dynamic programming in a heuristically confined state space: a stochastic resource-constrained project scheduling application. - Jaein Choi; Matthew J. Realff; Jay H. Lee (Comput. Chem. Eng., 2004)

An algorithmic framework for improving heuristic solutions: Part I. A deterministic discount coupon traveling salesman problem. - Jaein Choi; Matthew J. Realff; Jay H. Lee (Comput. Chem. Eng., 2004)

Sample average approximation methods for stochastic MINLPs. - Jing Wei; Matthew J. Realff (Comput. Chem. Eng., 2004)

Identifying the interacting positions of a protein using Boolean learning and support vector machines. - Anshul Dubey; Matthew J. Realff; Jay H. Lee; Andreas S. Bommarius (Comput. Biol. Chem., 2006)

Assessing performance and uncertainty in developing carpet reverse logistics systems. - Markus Biehl; Edmund L. Prater; Matthew J. Realff (Comput. Oper. Res., 2007)

Scenario relaxation algorithm for finite scenario-based min-max regret and min-max relative regret robust optimization. - Tiravat Assavapokee; Matthew J. Realff; Jane C. Ammons; I-Hsuan Hong (Comput. Oper. Res., 2008)

Controlled exploration of state space in off-line ADP and its application to stochastic shortest path problems. - Nikolaos E. Pratikakis; Matthew J. Realff; Jay H. Lee (Comput. Chem. Eng., 2009)

Point-based standard optimization with life cycle assessment for product design. - Di Lu; Matthew J. Realff (Comput. Chem. Eng., 2010)

Integration of channel decisions in a decentralized reverse production system with retailer collection under deterministic non-stationary demands. - Chanjoo Lee; Matthew J. Realff; Jane C. Ammons (Adv. Eng. Informatics, 2011)

Optimal design and global sensitivity analysis of biomass supply chain networks for biofuels under uncertainty. - Jinkyung Kim; Matthew J. Realff; Jay H. Lee (Comput. Chem. Eng., 2011)

MILP based value backups in partially observed Markov decision processes (POMDPs) with very large or continuous action and observation spaces. - Rakshita Agrawal; Matthew J. Realff; Jay H. Lee (Comput. Chem. Eng., 2013)

Bioreactor-based fuel systems. I: Optimal production capacity considering start-up dynamics. - Dexin Luo; Matthew J. Realff; Valerie M. Thomas (Comput. Chem. Eng., 2014)

Analysis and comparison of single period single level and bilevel programming representations of a pre-existing timberlands supply chain with a new biorefinery facility. - Kevin Yeh; Matthew J. Realff; Jay H. Lee; Craig Whittaker (Comput. Chem. Eng., 2014)

Bayesian estimation of parametric uncertainties, quantification and reduction using optimal design of experiments for CO2 adsorption on amine sorbents. - Jayashree Kalyanaraman; Yanfang Fan; Ying Labreche; Ryan P. Lively; Yoshiaki Kawajiri; Matthew J. Realff (Comput. Chem. Eng., 2015)

Two stage stochastic bilevel programming model of a pre-established timberlands supply chain with biorefinery investment interests. - Kevin Yeh; Craig Whittaker; Matthew J. Realff; Jay H. Lee (Comput. Chem. Eng., 2015)

Stochastic optimization with value function approximation for micro-grid operation. - Joohyun Shin; Jay H. Lee; Matthew J. Realff (CDC, 2016)

Machine learning: Overview of the recent progresses and implications for the process systems engineering field. - Jay H. Lee; Joohyun Shin; Matthew J. Realff (Comput. Chem. Eng., 2018)

Managing uncertainty in data-driven simulation-based optimization. - Gordon Hüllen; Jianyuan Zhai; Sun Hye Kim; Anshuman Sinha; Matthew J. Realff; Fani Boukouvala (Comput. Chem. Eng., 2020)

Bayesian design of experiments for adsorption isotherm modeling. - Jayashree Kalyanaraman; Yoshiaki Kawajiri; Matthew J. Realff (Comput. Chem. Eng., 2020)

Computers and chemical engineering virtual special issue in honor of Professor George Stephanopoulos. - Bhavik R. Bakshi; Matthew J. Realff; Yaman Arkun; Manfred Morari (Comput. Chem. Eng., 2022)

Comparing separation alternatives for recovering 2,3 butanediol in a biorefinery: Multi-objective optimization of economic and environmental performance. - Marco Avendano; Jianpei Lao; Qiang Fu; Sankar Nair; Matthew J. Realff (Comput. Chem. Eng., 2025)