PIMS-IMA Mathematical Modeling in Industry XIX

The Mathematical Modeling in Industry Workshop for Graduate Students is designed to provide graduate students and qualified advanced undergraduates with first-hand experience in industrial research.

Workshop Format

Students work in teams of six or seven under the guidance of an industry mentor.The mentor will help guide the students in the modeling process, analysis, and computational work associated with a real-world industrial problem.

A progress report from each team will also be scheduled during the period. In addition, each team will be expected to make an oral final presentation and submit a written report at the end of the workshop. Past projects have resulted in papers published in refered scientific journals.

Presentations

• Team 1: Approximate Mapping of Temperatures from Coarser to Finer Grid using Temporal Derivatives
  • Introduction
  • Final Report
  • Intrim Report
• Team 2: Is this a compressed sensing application?
  • Introduction
  • Intrim Report
  • Final Report
• Team 3: Simulation-driven Design in the Development of High-performance Tools
  • Introduction
  • Intrim Report
  • Final Report
• Team 4: Fast and Somewhat Accurate Algorithms
  • Introduction
  • Intrim Report
  • Final Report
• Team 5: Deep Learning for Image Anomaly Detection
  • Introduction
  • Intrim Report
  • Final Report
• Team 6: Deducing Rock Properties from Spectral Seismic Data
  • Introduction
  • Intrim Report
  • Final Report
• Team 7: Sparse Recovery Using Quantum Annealing
  • Introduction
  • Intrim Report
  • Final Report