Computational Challenges and Emerging Tools

Workshop theme

In tandem with the workshop on Mathematical Foundations, this week-long workshop will focus on algorithms and methodology to address key tasks in data-driven engineering, including:

data assimilation and statistical inverse problems,
reinforcement learning and control,
model order reduction,
bridging mechanistic and data-driven models and methods.

A particular focus of this workshop will be on highlighting computational challenges in the application areas of the DDE programme (aeronautics, chemical engineering, and civil and environmental engineering) and showcasing promising emerging tools.

Fees

Registration Only

Registration Package: £218
Student Registration Package: £168

The Registration Package includes admission to all seminars, lunches and refreshments on the days that lectures take place (Monday - Friday), wine reception and formal dinner, but does not include other meals or accommodation.

Virtual Registration

Virtual Registration Package: £0

Virtual registration is free, and includes virtual admission to all seminars and does not include physical attendance, meals or accommodation.

Formal Dinner Only

Formal Dinner: £60

Participants on the Registration Package, including organisers and speakers, are automatically included in this event. For all remaining participants who would like to attend, such as programme participants, the above charge will apply.

Accommodation

Unfortunately we do not have any accommodation to offer so all successful applicants will need to source their own accommodation.

Please see the Hotels Combined website for a list of local hotels and guesthouses.

Meals

Lunch Lunch timings and location will be confirmed with the timetable.

Evening Meal Participants are free to make their own arrangements for dinner.

Formal Dinner The Formal Dinner will be held at Robinson College on Wednesday 26 April at 19:30.

The event is a tradition for INI participants and gives you a chance to socialise with your colleagues on a more personal level. It is not one to miss!

Participants on the Registration Package, including organisers and speakers, are automatically included in this event.

Timetable

Monday 24th April 2023
09:30 to 09:55	Registration	No Room Required
09:55 to 10:00	Ciara Dangerfield University of Cambridge Welcome	Room 1
10:00 to 11:00	Benjamin Peherstorfer Courant Institute of Mathematical Sciences Chair: Omar Matar Context-aware controller inference	Room 1
11:00 to 11:30	Morning Coffee	No Room Required
11:30 to 12:30	Ruth Misener Imperial College London Chair: Omar Matar Autonomous research machines: Self-optimizing new chemistry	Room 1
12:30 to 13:30	Lunch	No Room Required
13:30 to 14:30	Ioannis Kevrekidis Johns Hopkins University Chair: Omar Matar Some old and some new results on the data-driven modeling of complex systems	Room 1
14:30 to 15:30	Luca Guastoni KTH - Royal Institute of Technology Chair: Omar Matar Discovering drag reduction strategies in wall-bounded turbulent flows using deep reinforcement learning	Room 1
15:30 to 16:00	Afternoon Tea	No Room Required
16:00 to 17:00	Poster session	Discussion Room
17:00 to 18:00	Welcome Wine Reception at INI	No Room Required

Tuesday 25th April 2023
09:00 to 10:00	Kazeem Osuolale Nigerian Institute of Medical Research Chair: Radu Cimpeanu Orthogonal Array-Based Latin Hypercube Designs for Planning Experiments in Biomedical Research	Room 1
10:00 to 11:00	Matthew Zahr University of Notre Dame Chair: Radu Cimpeanu Adaptive Model Reduction for High-Speed Flows	Room 1
11:00 to 11:30	Morning Coffee and group photo	No Room Required
11:30 to 12:30	Radu Cimpeanu University of Warwick; University of Oxford Chair: Radu Cimpeanu Active control of liquid film flows: beyond reduced-order models	Room 1
12:30 to 13:30	Lunch	No Room Required
13:30 to 14:30	Petros Koumoutsakos Harvard University Chair: Ben Leimkuhler AI/Scientific Computing: Alloys for Complex system modeling and control	Room 1
14:30 to 15:30	Noemi Petra University of California, Merced Chair: Ben Leimkuhler hIPPYlib-MUQ: A Bayesian Inference Software Framework for Integration of Data with Complex Predictive Models under Uncertainty	Room 1
15:30 to 16:00	Afternoon Tea	No Room Required
16:00 to 17:00	Discussion session	Room 1

Wednesday 26th April 2023
09:00 to 10:00	Karen Veroy-Grepl Technische Universiteit Eindhoven Chair: Nausheen Basha Model Order Reduction in the Multi-Scale Materials Setting	Room 1
10:00 to 11:00	Andrew Duncan Imperial College London; The Alan Turing Institute Chair: Nausheen Basha Budget-Limited Parametric Estimation for Expensive Black Box Engineering Models	Room 1
11:00 to 11:30	Morning Coffee	No Room Required
11:30 to 12:30	Benedict Leimkuhler University of Edinburgh Chair: Nausheen Basha SDE sampling algorithms for bounded domains, constraints and noisy gradients	Room 1
12:30 to 13:30	Lunch	No Room Required
19:30 to 23:00	Formal dinner at Robinson College	No Room Required

Thursday 27th April 2023
09:00 to 10:00	Rossella Arcucci Imperial College London Chair: Andrew Duncan Data Learning: integrating Data Assimilation and Machine Learning to deal with limitations in models and data	Room 1
10:00 to 11:00	Roger Ghanem University of Southern California Chair: Andrew Duncan Leveraging structure in data assimilation	Room 1
11:00 to 11:30	Morning Coffee	No Room Required
11:30 to 12:30	Eldad Haber University of British Columbia Chair: Andrew Duncan Learning Regularization for Inverse Problems, Take 2	Room 1
12:30 to 13:30	Lunch	No Room Required
13:30 to 14:30	Nausheen Basha Imperial College London Chair: Aretha Teckentrup Data-driven discovery of flow characteristics enhancing plug-flow performance	Room 1
14:30 to 15:30	Adrian Lozano-Duran Massachusetts Institute of Technology Chair: Aretha Teckentrup Machine-learning building-block-flow model for large-eddy simulation	Room 1
15:30 to 16:00	Afternoon Tea	No Room Required
16:00 to 17:00	Poster session	Discussion Room

Friday 28th April 2023
09:00 to 10:00	Elisabeth Ullmann Technische Universität München Chair: Omar Matar Particle dynamics for rare event estimation with PDE-based models	Room 1
10:00 to 11:00	Peng Chen Georgia Institute of Technology Chair: Omar Matar Projected variational inference for high-dimensional Bayesian inverse problems	Room 1
11:00 to 11:30	Morning Coffee	No Room Required
11:30 to 12:30	Daniela Calvetti Case Western Reserve University Chair: Omar Matar Layered, error enhanced hierarchical dictionary learning algorithm for sparse coding.	Room 1
12:30 to 13:30	Lunch	No Room Required

The mathematical and statistical foundation of future data-driven engineering

Computational Challenges and Emerging Tools

Organisers

Youssef Marzouk Massachusetts Institute of Technology
Omar Matar Imperial College London
Aretha Teckentrup University of Edinburgh
Irina Tezaur Sandia National Laboratories

Speakers

Rossella Arcucci Imperial College London
Nausheen Basha Imperial College London
Daniela Calvetti Case Western Reserve University
Peng Chen Georgia Institute of Technology
Radu Cimpeanu Imperial College London
Andrew Duncan
Roger Ghanem University of South Carolina
Luca Guastoni KTH - Royal Institute of Technology
Eldad Haber University of British Columbia
Ioannis Kevrekidis
Petros Koumoutsakos Harvard University
Benedict Leimkuhler University of Edinburgh
Adrian Lozano-Duran Massachusetts Institute of Technology
Ruth Misener Imperial College London
Kazeem Osuolale Nigerian Institute of Medical Research
Benjamin Peherstorfer Courant Institute of Mathematical Sciences
Noemi Petra University of California, Merced
Elisabeth Ullmann Technische Universität München
Karen Veroy-Grepl Technische Universiteit Eindhoven
Matthew Zahr University of Notre Dame

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Computational Challenges and Emerging Tools

Workshop theme

Timetable

Organisers

Speakers

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