Program

Nov. 14, Monday, Morning, Session 1, Auditorium between Building 4&5

Time	Speaker	Affiliation	Topic
7:30—8:30	Breakfast
8:30—9:10	Olivier Pironneau	Université Pierre et Marie Curie	Fisheries, Stochastic Control versus AI Solutions
9:10—9:50	Peter Richtarik	King Abdullah University of Science and Technology	On 5th Generation of Local Training Methods in Federated Learning
9:50—10:20	Coffee break
10:20—11:00	Martin Gander	University of Geneva	Modern Coarse Spaces in Domain Decomposition I
11:00—11:40	Laurence Halpern	Université PARIS 13	Modern Coarse Spaces in Domain Decomposition II
12:00—12:40	Lunch at Auditorium between Building 4&5

Nov. 14, Monday, Afternoon

15:00-19:00

Red Sea Dinner Cruising

Pick up at KAUST Inn at 14:30pm. Dinner will be provided on the boat.

Nov. 15, Tuesday, Morning, Session 2, Auditorium between Building 4&5

Time	Speaker	Affiliation	Topic
7:30—8:30	Breakfast
8:30—9:10	George Karniadakis	Brown university	From Physics-Informed Machine Learning to Physics-Informed Machine Intelligence: Quo Vadimus?
9:10—9:30	Jonathan Siegel	Texas A&M University	Approximation Rates for Deep ReLU Neural Networks on Sobolev Spaces
9:30—9:50	Juncai He	King Abdullah University of Science and Technology	MgNet: Algorithms, Theories, and Applications
9:50—10:20	Coffee break
10:20—11:00	Zi-kui Liu	Pennsylvania State University	Ocean of data: Prediction and design of materials through integrating quantum, statistical, classical, and irreversible thermodynamics with machine learning
11:00—11:40	Weizhu Bao	National University of Singapore	Energy-stable parametric finite element methods (PFEM) for geometric PDEs and applications
11:45—13:45	Poster Session at Library Seaview Area. Walk from Auditorium between Building 4&5 at 11:40am to Library; from Library at 13:45 to Auditorium between Building 4&5.

Nov. 15, Tuesday, Afternoon, Session 3, Auditorium between Building 4&5

Time	Speaker	Affiliation	Topic
14:00—14:40	Zuowei Shen	National University of Singapore	Deep Approximation via Deep Learning
14:40—15:20	Richard Tsai	The University of Texas at Austin	Side-effects of Learning from Low Dimensional Data Embedded in an Euclidean Space
15:20—15:50	Coffee break
15:50—16:30	Daniele Boffi	King Abdullah University of Science and Technology	Reduced order models for parametric eigenvalue problems
16:30—16:50	Zainab Ibrahim	Saudi Aramco	Non-Destructive Core Testing and Machine Learning Geological Parameters Prediction Approach
17:15—17:30	Group photo at 17:15 at Al Marsa; pick up at Student Center at 17:00
17:30—21:00	Banquet at 18:00 at Al Marsa, starting with a welcome speech given by President Tony Chan. The after dinner speech will be given by Professor Jürgen Schmidhuber.

Nov. 16, Wednesday, Morning, Session 4, Auditorium between Building 4&5

Time	Speaker	Affiliation	Topic
7:30—8:30	Breakfast
8:30—9:10	Peter Markowich	King Abdullah University of Science and Technology	Selection Dynamics for Deep Neural Networks
9:10—9:50	Diogo Gomes	King Abdullah University of Science and Technology	Monte-Carlo methods for minimizations problems
9:50—10:20	Coffee break
10:20—11:00	Gabriel Wittum	King Abdullah University of Science and Technology	Doubly enriched finite volume spaces for the DNS of fluid-particle interaction
11:00—11:40	Jinchao Xu	King Abdullah University of Science and Technology & Pennsylvania State University	Neural Network Methods for Numerical PDEs and Training Algorithms
12:00—12:40	Lunch at Auditorium between Building 4&5

Nov. 16, Wednesday, Afternoon

14:00-18:00

Red Sea Snorkeling

Pick up at KAUST Inn at 13:30pm. Refreshments will be provided on the boat.

Nov. 17, Thursday, Morning, Session 5, Auditorium between Building 4&5

Time	Speaker	Affiliation	Topic
7:30—8:30	Breakfast
8:30—9:10	Yalchin Efendiev	Texas A&M University	Multicontinuum homogenization and applications
9:10—9:50	Weiqing Ren	National University of Singapore	Modelling moving contact lines on elastic sheets
9:50—10:20	Coffee break
10:20—11:00	Tiejun Zhang	Khalifa University of Science and Technology	Accelerated Development of Functional Composites via Machine Learning and Simulation
11:00—11:40	Xin Gao	King Abdullah University of Science and Technology	Towards Accurate Biomedical Genomics Anywhere Anytime
12:00—12:40	Lunch at Auditorium between Building 4&5

Nov. 17, Thursday, Afternoon, Session 6, Auditorium between Building 4&5

Time	Speaker	Affiliation	Topic
14:00—14:40	Ahmed Elsheikh	Heriot-Watt University	Reduced order modelling using physical residual neural networks
14:40—15:00	Salma Sinan	Saudi Aramco	Maximizing the value of seismic data in reservoir modeling using deep learning
15:00—15:20	Azhar Al Hammali	Imam Abdulrahman bin Faisal University	Numerical Analysis and Simulations of a Model of Biofilm Growth and Nutrient Utilization at Pore-scale
15:20—15:50	Coffee break
15:50—16:10	Ahmed Farid Ibrahim	King Fahd University of Petroleum and Minerals	Data Driven EUR For Multistage Hydraulically Fractured Wells In Shale Formation Using Different Machine Learning Methods
16:10—16:30	Mohammed Al Kobaisi	Khalifa University of Science and Technology	Discretization Methods for Anisotropic Diffusion Equations
16:30—16:50	Remya Nair	King Abdullah University of Science and Technology	Quantification of substituent effects and ligand modifications to tune the reactivity of transition metal complexes

Nov. 18, Friday, Morning, Session 7, Auditorium between Building 4&5

Time	Speaker	Affiliation	Topic
7:30—8:30	Breakfast
8:30—9:10	Majid Hassanizadeh	Stuttgart University & Utrecht University	Pore-scale computational and experimental studies of colloid transport in porous media; combined with machine learning
9:10—9:50	Chen Zhu	Indiana University Bloomington	Machine learning applications to hydrogeochemistry and geochemical modeling.
9:50—10:20	Coffee break
10:20—11:00	Xingru Wu	University of Oklahoma	Mining Subsurface Data With Dimensional Analysis
11:00—11:20	Peng Lu	Saudi Aramco	Domain Knowledge Value and Integration in Machine Learning: Examples from Geological Studies
11:20—11:40	Tao Zhang	King Abdullah University of Science and Technology	The role of AI in the technology transition from conventional reservoir simulations to the modeling and simulation of the next-generation energy
12:00—12:40	Lunch at Auditorium between Building 4&5

Nov. 18, Friday, Afternoon, Session 8, Auditorium between Building 4&5

Time	Speaker	Affiliation	Topic
14:00—14:20	Bicheng Yan	King Abdullah University of Science and Technology	Toward Real-Time Subsurface Reservoir Model Calibration by Deep Learning
14:20—14:40	Yerlan Amanbek	Nazarbayev University	Coarse-grained model of CFD-DEM for sand production.
14:40—15:20	Shuyu Sun	King Abdullah University of Science and Technology	AI meets Reservoir Fluid Mixture: Fast, Robust, and Accurate Phase Equilibrium Calculation by Deep Learning
15:20—15:40	Ending
17:00 – 20:30	KAUST walk from Garden Bridge to Monument, picnic provided