19 CAST Director's Student Presentation Award Finalists


Description:
CAST Director's Student Presentation Award Finalists

Sponsor:
Computing Systems and Technology Division


Chair:
Mario Richard Eden
Department Chair and McMillan Professor
Auburn University
Department of Chemical Engineering
210 Ross Hall
Auburn, AL
36849-5127
Phone Number: (334) 844-2064
Fax Number: 334-844-2063
Email: edenmar@auburn.edu

Co-Chair:
Michael Nikolaou
University of Houston
Chemical Engineering
4800 Calhoun Road
Houston, TX
77204
Fax Number: 713-743-4323
Email: nikolaou@uh.edu


Papers:
19a
MILP Formulation and Nested Decomposition Algorithm for Electric PowerInfrastructure Planning
Cristiana L. Lara, Carnegie Mellon University; Ignacio E. Grossmann, Carnegie Mellon University
19b
SPICE: A Computer-Aided Framework for Systematic Process Intensification of Chemical Enterprises
Jianping Li, Texas A&M University; Salih E. Demirel, Texas A&M University; Akhil Arora, Texas A&M University; M. M. Faruque Hasan, Texas A&M University
19c
Distributed Output-Feedback Fault Detection and Isolation of Cascade Process Networks
Xunyuan Yin, University of Alberta; Jinfeng Liu, University of Alberta
19d
A Branch-and-Bound Scheme for K-Adaptability Problems in Robust Optimization
Anirudh Subramanyam, Carnegie Mellon University; Wolfram Wiesemann, Imperial College London; Chrysanthos E. Gounaris, Carnegie Mellon University
19e
A Novel Noncooperative Modeling Framework for Economic and Environmental Life Cycle Optimization of Supply Chains and Product Systems: Miblp Model and Efficient Solution Algorithm
Jiyao Gao, Cornell University; Fengqi You, Cornell University
19f
A Sequential Approach to Global Flowsheet Optimization Using Mccormick Relaxations
Dominik Bongartz, RWTH Aachen University; Alexander Mitsos, RWTH Aachen University
19g
Semi-Supervised Anomaly Detection for Production Oil Wells
Kristen Severson, MIT; Paphonwit Chaiwatanodom, Massachusetts Institute of Technology; Mark Molaro, Massachusetts Institute of Technology; Richard D. Braatz, Massachusetts Institute of Technology
19h
A Critical Comparison of Stochastic and Worst-Case Robust Approaches to Optimal Experiment Design
Marc Martin-Casas, University of California - Berkeley; Dries Telen, KU Leuven; Philippe Nimmegeers, KU Leuven; Jan Van Impe, KU Leuven; Ali Mesbah, University of California - Berkeley
Abstract Submissions Closed
See more of this Group/Topical: Computing and Systems Technology Division
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