This workshop will be offered virtually. The in-person meeting has been cancelled due to the COVID-19 outbreak. The virtual schedule is posted below. Accepted participants have been notified how to access the virtual presentations. All other interested parties can view the talks via live-stream.
Organizing Committee
Abstract

Mathematical advances that reduce the complexity of models are complemented by algorithms that achieve the desired reduction in computational effort. This workshop focuses on the synthesis and development of algorithmic approaches to model order reduction. These methods tackle fundamental problems in structure- and topology-preserving reductions, low-rank models and dimension reduction, multi-level approaches, and empirical interpolation and approximations, etc. Complementary approaches that target computational efficiency include strategies with offline and online phases and divide-and-conquer algorithms.

Image for "WORKSHOP ONLY OFFERED VIRTUALLY: Algorithms for Dimension and Complexity Reduction"

Confirmed Speakers & Participants

  • Speaker
  • Poster Presenter
  • Attendee

Workshop Schedule

Monday, March 23, 2020
TimeEventLocationMaterials
9:50 - 10:00Welcome - ICERM Director  
10:00 - 10:45Reduced order modelling in electronic structure calculations - first attempts - Benjamin Stamm, RWTH Aachen University 
11:00 - 11:15Coffee/Tea Break  
11:15 - 12:00Tensor star-M product SVDs for compression, with applications in POD and in system identification. - Misha Kilmer, Tufts University 
12:15 - 1:30Break for Lunch / Free Time  
1:30 - 2:15Novel tensor framework for model reduction and neural networks - Shashanka Ubaru, IBM Research 
2:30 - 2:45Coffee/Tea Break  
2:45 - 3:30Reduced basis methods for linear fractional elliptic problems - Akil Narayan, University of Utah 
3:30 - 3:45Close the day  
Tuesday, March 24, 2020
TimeEventLocationMaterials
10:00 - 10:45Localized model order reduction - Kathrin Smetana, University of Twente 
11:00 - 11:15Coffee/Tea Break  
11:15 - 12:00A Time-Multiscale Model Order Reduction Method In Nonlinear Solid Mechanics - Pierre Ladeveze, Ens Paris-Saclay 
12:15 - 1:30Break for Lunch / Free Time  
1:30 - 2:15Model Order Reduction of Energy Networks with a Focus on Hyperbolic Systems - Sara Grundel, Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg 
2:30 - 2:45Coffee/Tea Break  
2:45 - 3:30Goal-oriented adaptivity within the Generalized Multiscale Finite Element Method - Sara Pollock, University of Florida 
3:45 - 4:30The p-AAA algorithm for data driven modeling of parametric dynamical systems - Serkan Gugercin, Virginia Tech 
4:30 - 4:45Close the day  
Wednesday, March 25, 2020
TimeEventLocationMaterials
10:00 - 10:45Structured Autoencoders for Operator-theoretic decomposition and Model reduction of Spatio-temporal dynamics - Karthik Duraisamy, University of Michigan 
11:00 - 11:15Coffee/Tea Break  
11:15 - 12:00Port-Reduced Reduced Basis Component for incompressible fluid flows - Amina Benaceur, MIT 
12:15 - 1:30Break for Lunch / Free Time  
1:30 - 2:15Data-Driven Variational Multiscale Reduced Order Models - Traian Iliescu, Virginia Tech 
2:30 - 2:45Coffee/Tea Break  
2:45 - 3:30On the stability of projection-based model order reduction for convection-dominated laminar and turbulent flows - Charbel Farhat, Stanford University 
3:45 - 4:30POD Reduced-Order Modeling of Complex Fluid Flows - Zhu Wang, University of South Carolina 
4:30 - 4:45Close the day  
Thursday, March 26, 2020
TimeEventLocationMaterials
10:00 - 10:45A Reduced Order Modeling approach for PDEs with bifurcating solutions - Annalisa Quaini, University of Houston 
11:00 - 11:15Coffee/Tea Break  
12:15 - 1:30Break for Lunch / Free Time  
1:30 - 2:15Sensor Selection for Bayesian Inverse Problems and Data Assimilation via Dimension Reduction - Nicole Nellesen, RWTH Aachen University 
2:30 - 2:45Coffee/Tea Break  
2:45 - 3:30Efficient randomized algorithms for subspace system identification - Arvind Saibaba, North Carolina State University 
3:30 - 3:45Close the day  
Friday, March 27, 2020
TimeEventLocationMaterials
10:00 - 10:45Randomization for the Efficient Reduced Order Models in Diffuse Optical Tomography - Selin Aslan, Argonne National Laboratory 
11:00 - 11:15Coffee/Tea Break  
11:15 - 12:00Reliable and efficient model reduction of parametrized aerodynamics problems - error estimation and Adaptivity - Masayuki Yano, University of Toronto 
12:15 - 1:30Break for Lunch / Free Time  
1:30 - 2:15Interpretable data-driven model reduction for multiscale nonlinear dynamics - Jared Callaham, University of Washington 
2:30 - 2:50Closing Remarks - Fariba Fahroo, AFOSR  
2:50 - 3:05End of Workshop  

Poster Session Gallery

Learning block-oriented nonlinear models of dynamical systems from data

Victor Gosea

Gradient-Based Recovery of Linear Projections in Multi-Index Models

Patrick Martin

System-Theoretic Model Reduction in pyMOR

Petar Mlinarić

Lift & Learn: Physics-informed machine learning for large-scale nonlinear dynamical systems

Elizabeth Qian

Data-Driven Discovery of Emergent Behaviors

Ming Zhong

Request Reimbursement

ORCID iD
As this program is funded by the National Science Foundation (NSF), ICERM is required to collect your ORCID iD if you are receiving funding to attend this program. Be sure to add your ORCID iD to your Cube profile as soon as possible to avoid delaying your reimbursement.
Acceptable Costs
  • 1 roundtrip between your home institute and ICERM
  • Flights on U.S. or E.U. airlines – economy class to either Providence airport (PVD) or Boston airport (BOS)
  • Ground Transportation to and from airports and ICERM.
Unacceptable Costs
  • Flights on non-U.S. or non-E.U. airlines
  • Flights on U.K. airlines
  • Seats in economy plus, business class, or first class
  • Change ticket fees of any kind
  • Multi-use bus passes
  • Meals or incidentals
Advance Approval Required
  • Personal car travel to ICERM from outside New England
  • Multiple-destination plane ticket; does not include layovers to reach ICERM
  • Arriving or departing from ICERM more than a day before or day after the program
  • Multiple trips to ICERM
  • Rental car to/from ICERM
  • Flights on a Swiss, Japanese, or Australian airlines
  • Arriving or departing from airport other than PVD/BOS or home institution's local airport
  • 2 one-way plane tickets to create a roundtrip (often purchased from Expedia, Orbitz, etc.)
Reimbursement Request Form

https://icerm.brown.edu/money/

Refer to the back of your ID badge for more information. Checklists are available at the front desk.

Reimbursement Tips
  • Scanned original receipts are required for all expenses
  • Airfare receipt must show full itinerary and payment
  • ICERM does not offer per diem or meal reimbursement
  • Allowable mileage is reimbursed at prevailing IRS Business Rate and trip documented via pdf of Google Maps result
  • Keep all documentation until you receive your reimbursement!
Reimbursement Timing

6 - 8 weeks after all documentation is sent to ICERM. All reimbursement requests are reviewed by numerous central offices at Brown who may request additional documentation.

Reimbursement Deadline

Submissions must be received within 30 days of ICERM departure to avoid applicable taxes. Submissions after thirty days will incur applicable taxes. No submissions are accepted more than six months after the program end.

Associated Semester Workshops

Mathematics of Reduced Order Models
Image for "Mathematics of Reduced Order Models "

Lecture Videos