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Scientific Computing and Data Science Seminar

We intend the terms scientific computing and data science to be broadly defined and inclusive. Topics of interest include but are not limited to:

  • Novel numerical methods, numerical analysis, high-performance computing, parallel algorithms, and application problems that involve numerical challenges.
  • Machine learning algorithms, deep learning and neural networks, applied/predictive modeling with real-world data, data-enabled science, dimensionality reduction, Bayesian methods, natural language processing, and computational statistics.

During Spring 2024, we will meet on Wednesdays, 3:00-4:00pm in ACS 362B.

This seminar is part of the RTG theme “Scientific Computing and Data Science”. If you have questions, please contact Prof. Changho Kim (ckim103@ucmerced.edu).

Schedule Spring 2024

  • Jan 24: Organizational meeting

Schedule Fall 2023

  • Aug 24: Kick-off meeting
  • Aug 31: Zihan Xu - Extension of Statistics-informed Neural Network to Multi-dimensions with Self-Adaptive Loss Balancing for Enhanced Performance
  • Sep 7: Adam Binswanger - Stable nodal projection method on quadtree grids for incompressible, multi-phase fluid flows
  • Sep 14: Alex Nguyen - A Runge-Kutta-Nyström type exponential integrator with an application to numerically simulate strongly magnetized charged particle dynamics
  • Sep 22 (Friday, 2pm, ACS 362B): Hong Zhang (ANL) - PETSc Library and its Application to the Multiphysics Simulation over Networks
  • Sep 28: Discussion (programming skills)
  • Oct 5: Harish Bhat - Machine learning for the time-dependent Hartree-Fock equation
  • Oct 19: Scott West - Nodal Projection Methods for Incompressible Fluid Flows
  • Nov 9: Andy Wan - Bayesian inference using Hamiltonian Monte Carlo
  • Nov 30: Kevin Collins - Vortices and the shape of flow

Schedule Spring 2023

  • Jan 19: Kick-off meeting
  • Feb 2: Matteo Polimeno (discussion facilitator) - Student discussion on preparing a poster presentation
  • Feb 9: Scott West - A Stable Nodal Projection Method on Octree Grids
  • Feb 16: Anna Kucherova - Modeling the Opening SARS-CoV-2 Spike: an Investigation of its Dynamic Electro-Geometric Properties
  • Feb 23: Jared Stewart - Exponential time integration methods for chemical combustion simulations
  • Mar 16: Majerle Reeves - Paper review (Liquid Time-Constant Neural Networks with some background on neural ODEs)
  • Mar 23: Govanni Granados - Asymptotic Analysis Applied to Small Volume Inverse Shape Problems
  • Apr 6: Hardeep Bassi - Learning to predict electron dynamics via machine learned Hamiltonians
  • Apr 13: Matt Blomquist - A stable nodal projection on adaptive grids (the pros and cons of collocated variables for fluid simulations)
  • Apr 27: Matteo Polimeno - Breaking up fractal aggregates under stress: a boundary integral approach
  • May 4: Tri (Alex) Nguyen - An Introduction to Exponential Fitting

Schedule Fall 2022

  • Aug 25: Kick-off meeting
  • Sep 1: Harish Bhat - Intro to JAX
  • Sep 8: John Butcher (University of Auckland, New Zealand) - B-series and Applications
  • Sep 15: Changho Kim - Demystifying Stochastic Integrals
  • Sep 22: Changho Kim - Demystifying Stochastic Processes
  • Sep 29: Yuanran Zhu (LBNL) - Statistics-informed neural network
  • Oct 6: Yue Yu (Office of Information Technology) - HPC info session
  • Oct 13: Hannah Love - Intro to NLP and Resume Ranker
  • Oct 20: Tanya Tafolla - Intro to weather prediction
  • Oct 27: Ali Heydari - No Pairs Left Behind! Improving Metric Learning to Predict Patients'' Health Risk from a Single Lab Visit
  • Nov 3: Scott West - A Stable Nodal Projection Method on Octree Grids
  • Nov 10: Maia Powell - How to Scrape Data from Twitter
  • Nov 17: Alex Ho - Data-Drive Eddy Diffusion Coefficient in Marine Lake
  • Dec 1: Zihan Xu - Extension of SINN to Multi-Dimensions
               Jack Pham - Linear Algebra in Cryptography
  • Dec 8: Matteo Polimeno - Computing Stresses in Marine Aggregates: A Boundary Integral Approach

Schedule Spring 2022

  • Jan 27: Enrique Mercado
  • Feb 3: Harish Bhat
  • Feb 10: Jocelyn Ornelas Munoz
  • Feb 17: Harish Bhat
  • Feb 24: Harish Bhat
  • Mar 3: Ali Heydari
  • Mar 10: Adam Binswanger
  • Mar 17: Majerle Reeves
  • Mar 24: Spring Recess
  • Mar 31: Tanya Tafolla
  • Apr 7: Hardeep Bassi
  • Apr 14: Valentin Dallerit
  • Apr 21: Kevin Collins
  • Apr 28: Matthew Blomquist

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