Hosted by

Mork Family Department of Chemical Engineering and Materials Science

University of Southern California, Los Angeles, CA 90089


Ronald Tutor Hall (RTH), Room 526

3710 McClintock Ave, Los Angeles, CA 90089



Monday, Sept. 23, 2019    (RTH 526)

1:00p.m.          Introduction/Agenda Overview  S.J. Qin

1:10 – 2:30      PI Overviews 

                        S.J. Qin; J.B. Rawlings; Michael Baldea; Victor Zavala

2:30 – 2:50      Break

2:50                 Tutorial on dynamic latent variable analytics and deep learning, Joe Qin

3:30                 Dynamic latent feature modeling for process troubleshooting, Sam Liu (USC)

3:55                 Least angle regression and partial least squares for feature selection, Fiona Guo (USC)

4:20                 Poster Session (with 2 minutes flash talks)

6:30                 Dinner University Club, Carnegie Room - 705 W 34th St, Los Angeles, CA;   Phone: (213) 740-2030


Tuesday Sept. 24, 2019  (RTH 526)

8:00a.m.          Meeting with PI’s and Sponsors – Continental Breakfast

9:00                 Improved software for noise covariance estimation for linear systems, Travis Arnold (UW)

9:25                 Progress on moving horizon estimation, Doug Allan (UW)

9:50                  Plant model mismatch estimation for DMC/DMCplus systems:Method and Software Tool, Xiaodong Xu (UT)

10:15 – 10:40   Break

10:40          Supply Chain Decision-Making in the Face of Uncertainties, Apoorva Sampat (UW) 

11:05                Benchmarking Stochastic and Deterministic MPC: A Case Study in Stationary Battery Systems, Ranjeet Kumar (UW)

11:30                Feature selection and artifact removal in high dimensional EEG data, David Wang (USC)

11:55          Adjourn



Posters

Dynamic latent feature modeling for process troubleshooting, Sam Liu
Artifact removal and feature detection in high dimensional EEG data, David Wang (USC)
Least angle regression and partial least squares for variable selection, Fiona Guo (USC)
Diagnosis on off-line measurements of batch processes, Wei Ling (USC)
Towards predictive maintenance via machine learning, Jerry Li (USC)
Improved software for noise covariance estimation for linear systems, Travis Arnold (UW, JBR)
Progress on moving horizon estimation, Doug Allan (UW, JBR)
Closed-Loop Scheduling: Robustness to Discrete Disturbances, Koty McAllister  (UCSB)
Algorithms for the Discrete Algebraic Riccati Equation, Chris Kuo-Leblanc (UCSB)
Plant model mismatch estimation for DMC/DMCplus systems: Method and Software Tool, Xiaodong Xu (UT)
Fairness measures for decision-making and conflict resolution, Apoorva Sampat (UW)
Benchmarking Stochastic and Deterministic MPC: Application in HVAC Central Plant, Ranjeet Kumar (UW)

Paper surveys will be provided at the beginning of the conference.  Please turn in at the end.  Thank you.

Access to Files: [link]

ć
ROSALIND MCKENNON,
Sep 20, 2019, 12:54 PM