Organizing Committee
Abstract

Mathematical models of scientific applications often involve simulations with a large number of degrees of freedom that strain even the most efficient of algorithms. A clear need is the rigorous development of models with reduced complexity that retain fidelity to the application. Mathematics-based reduced-order modeling applies techniques in nonlinear approximation, projection-based discretizations, sparse surrogate construction, and high-dimensional approximation, in order to construct a model surrogate with near-optimal approximation properties. This workshop focuses on theoretical and algorithmic advances in mathematics-based model order reduction of various types: reduced basis methods, projection-based methods for dynamical systems, and sparse and low-rank approximations in high dimensions.

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Confirmed Speakers & Participants

  • Speaker
  • Poster Presenter
  • Attendee

Workshop Schedule

Monday, February 17, 2020
TimeEventLocationMaterials
8:30 - 8:55Registration - ICERM 121 South Main Street, Providence RI 0290311th Floor Collaborative Space 
8:55 - 9:00Welcome - ICERM Director11th Floor Lecture Hall 
9:00 - 9:45TBD - Yvon Maday, Sorbonne Université11th Floor Lecture Hall 
10:00 - 10:30Coffee/Tea Break11th Floor Collaborative Space 
10:30 - 11:15Adaptivity concepts for POD reduced-order modeling - Carmen Gräßle, Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg11th Floor Lecture Hall
11:30 - 12:15Nonlinear model reductions methods for transport-dominated problems - Benjamin Peherstorfer, Courant Institute, New York University11th Floor Lecture Hall
12:00 - 2:00Break for Lunch / Free Time  
12:30 - 2:30Break for Lunch / Free Time  
2:30 - 3:15Reduced Models in State Estimation - Wolfgang Dahmen, University of South Carolina11th Floor Lecture Hall
3:30 - 4:00Coffee/Tea Break11th Floor Collaborate Space 
4:00 - 4:45Linear and nonlinear methods for model reduction - Diane Guignard, Texas A&M University11th Floor Lecture Hall
5:00 - 6:30Welcome Reception11th Floor Collaborative Space 
Tuesday, February 18, 2020
TimeEventLocationMaterials
9:00 - 9:45The Loewner framework for model reduction of large-scale systems - Athanasios Antoulas, Rice University11th Floor Lecture Hall
10:00 - 10:30Coffee/Tea Break11th Floor Collaborative Space 
10:30 - 11:15Model Order Reduction for Higher Order Systems - Heike Fassbender, TU Braunschweig11th Floor Lecture Hall
11:30 - 12:15Embedding properties of data-driven dissipative reduced order models - Vladimir Druskin, WPI11th Floor Lecture Hall
12:00 - 2:00Break for Lunch / Free Time  
12:30 - 2:00Break for Lunch / Free Time  
2:00 - 2:45Operator inference for non-intrusive model reduction of non-polynomial nonlinear systems - Boris Kramer, University of California San Diego11th Floor Lecture Hall
3:00 - 3:45TBD - Matthias Heinkenschloss, Rice University11th Floor Lecture Hall 
4:00 - 5:30Poster Session & Coffee/Tea Break11th Floor Collaborate Space 
Wednesday, February 19, 2020
TimeEventLocationMaterials
9:00 - 9:45Structure-preserving dynamical reduced order models for Hamiltonian systems - Cecilia Pagliantini, EPFL, Lausanne, Switzerland11th Floor Lecture Hall
10:00 - 10:30Coffee/Tea Break11th Floor Collaborative Space 
10:30 - 11:15Reduced Basis Methods for the Wave Equation - Silke Glas, Cornell University11th Floor Lecture Hall
11:30 - 12:15Parametrized Partial Differential Equations and Back-of-the-Envelope Calculations - Anthony Patera, MIT11th Floor Lecture Hall
12:00 - 2:00Break for Lunch / Free Time  
12:30 - 12:40Group Photo11th Floor Lecture Hall 
12:30 - 2:30Break for Lunch / Free Time  
2:30 - 3:15A reduced basis method for parametrized variational inequalities applied to contact mechanics - Amina Benaceur, MIT11th Floor Lecture Hall
3:30 - 4:00Coffee/Tea Break11th Floor Collaborate Space 
4:00 - 4:45Model order reduction for PDE constrained optimization problems - Mario Ohlberger, Mathematics Münster11th Floor Lecture Hall
Thursday, February 20, 2020
TimeEventLocationMaterials
9:00 - 9:45Predictive data science for physical systems- From model reduction to scientific machine learning - Karen Willcox, Oden Institute for Computational Engineering and Sciences11th Floor Lecture Hall
10:00 - 10:30Coffee/Tea Break11th Floor Collaborative Space 
10:30 - 11:15Data-driven Modeling and Optimization of Dissipative Dynamics - Christopher Beattie, Virginia Tech11th Floor Lecture Hall
11:30 - 12:15Model reduction for port-Hamiltonian differential-algebraic systems - Volker Mehrmann, TU Berlin11th Floor Lecture Hall
12:00 - 2:00Break for Lunch / Free Time  
12:30 - 2:30Break for Lunch / Free Time  
2:30 - 3:15Automatic Generation of Minimal and Reduced Models for Structured Parametric Dynamical Systems - Igor Pontes Duff, Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany11th Floor Lecture Hall
3:30 - 4:00Coffee/Tea Break11th Floor Collaborate Space 
4:00 - 4:45A Rank-Minimization Approach to Learning Dynamical Systems from Frequency Response Data - Pawan Goyal, Max Planck Institute, Magdeburg, Germany11th Floor Lecture Hall
Friday, February 21, 2020
TimeEventLocationMaterials
9:00 - 9:45Convolutional autoencoders and LSTMs - using deep learning to overcome Komolgorov-width limitations and accurately model errors in nonlinear model reduction - Kevin Carlberg, University of Washington11th Floor Lecture Hall 
10:00 - 10:30Coffee/Tea Break11th Floor Collaborative Space 
10:30 - 11:15Randomized Model Order Reduction - Kathrin Smetana, University of Twente11th Floor Lecture Hall
11:30 - 12:15TBD - Jeffrey Hokanson, University of Colorado Boulder11th Floor Lecture Hall 
12:00 - 2:00Break for Lunch / Free Time  
12:30 - 2:30Break for Lunch / Free Time  
2:30 - 3:15Sparsity in moment constrained optimal transport problem - application to quantum chemistry - Virginie Ehrlacher, CERMICS – ENPC11th Floor Lecture Hall
3:30 - 4:00Coffee/Tea Break11th Floor Collaborate Space 

Application Information

ICERM welcomes applications from faculty, postdocs, graduate students, industry scientists, and other researchers who wish to participate. Some funding may be available for travel and lodging. Graduate students who apply must have their advisor submit a statement of support in order to be considered.

Applications are not currently open. Please check back at a later date.

Your Visit to ICERM

ICERM Facilities
ICERM is located on the 10th & 11th floors of 121 South Main Street in Providence, Rhode Island. ICERM's business hours are 8:30am - 5:00pm during this event. See our facilities page for more info about ICERM and Brown's available facilities.
Traveling to ICERM
ICERM is located at Brown University in Providence, Rhode Island. Providence's T.F. Green Airport (15 minutes south) and Boston's Logan Airport (1 hour north) are the closest airports. Providence is also on Amtrak's Northeast Corridor. In-depth directions and transportation information are available on our travel page.
Lodging
To secure ICERM's preferred hotel rate at the Hampton Inn & Suites Providence Downtown, use this link. ICERM regularly works with two additional area hotels for short visits. The Graduate Hotel and Hilton Garden Inn both have discounted rates available. Contact housing@icerm.brown.edu before booking outside of the preferred rate or if you would like to book alternate accommodations.
The only way ICERM participants should book a room is through the hotel reservation links located on this page or through links emailed to them from an ICERM email address (first_last@icerm.brown.edu). ICERM never works with any conference booking vendors and never collects credit card information.
Childcare/Schools
Those traveling with family who are interested in information about childcare and/or schools should contact housing@icerm.brown.edu.
Technology Resources
Wireless internet access ("Brown-Guest") and wireless printing is available for all ICERM visitors. Eduroam is available for members of participating institutions. Thin clients in all offices and common areas provide open access to a web browser, SSH terminal, and printing capability. See our Technology Resources page for setup instructions and to learn about all available technology.
Discrimination and Harassment Policy
ICERM is committed to creating a safe, professional, and welcoming environment that benefits from the diversity and experiences of all its participants. Both the Brown University "Code of Conduct" and the "Discrimination and Workplace Harassment Policy" apply to all ICERM participants and staff. Participants with concerns or requests for assistance on a discrimination or harassment issue should contact the ICERM Director or Assistant Director; they are the responsible employees at ICERM under this policy.
Exploring Providence
Providence's world-renowned culinary scene provides ample options for lunch and dinner. Neighborhoods near campus, including College Hill Historic District, have many local attractions. Check out the map on our Explore Providence page to see what's near ICERM.

Visa Information

Contact visa@icerm.brown.edu for assistance.

Eligible to be reimbursed
B-1 or Visa Waiver Business (WB)
Ineligible to be reimbursed
B-2 or Visa Waiver Tourist (WT)
Already in the US?

F-1 and J-1 not sponsored by ICERM: need to obtain a letter approving reimbursement from the International Office of your home institution PRIOR to travel.

H-1B holders do not need letter of approval.

All other visas: alert ICERM staff immediately about your situation.

ICERM does not reimburse visa fees. This chart is to inform visitors whether the visa they enter the US on allows them to receive reimbursement for the items outlined in their invitation letter.

Financial Support

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

Computational Statistics and Data-Driven Models
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