MTH540, MTH440, and EAS621/622

Mathematical and Computational Consulting

Professional Preparation Program

Fall 2020, UMass Dartmouth

This course will satisfy University Study 5-B (Learning through Engagement)

In order to be able to deliver the product (final report, codes) at the end of the semester, students are advised to choose only one project from one client. Descriptions about the projects provided by the clients are available in mycourses. Every project will have a project leader. With permission from the instructor, a student can work on a subproject from different client.

Vanilla Mathematica Codes (to get started) for the discussion session on Sept 23, 2020:

List of Students and Their MC2 Clients:

MTH540/EAS621/EAS622/DSC550 Students:

  1. Nayana Holthihal Nagendrappa (MTH540)
    MC2 Client: Bharatendra Rai (Dept. of Decision & Information Sciences).
    Project Title: Classifying and Predicting the Activities From Older Generation People Using Supervised Machine Learning and Deep Learning Models.

  2. Enjamamul Hoq (MTH540)
    MC2 Client: Jun Li (Dept. of Mechanical Engineering).
    Project Title: Predicting Stress-Field of 3D Panel with Defect using Model Order Reduction Technique and Machine learning Approaches. .

  3. Shravani Lagishetty (MTH540)
    MC2 Client: Bharatendra Rai (Dept. of Decision & Information Sciences).
    Project Title: Classifying and Predicting the Activities From Older Generation People Using Supervised Machine Learning and Deep Learning Models.

  4. Harper Rhodes (MTH540)
    MC2 Client: Donghui Yan and Alfa Heryudono (Dept. of Mathematics) and Osama Aljarrah (EAS-ISE)
    Project Title: Time Series Analysis for Use in Prediction of New COVID-19 Cases.

  5. Daniel Roskuski (MTH540)
    MC2 Client: Jun Li (Dept. of Mechanical Engineering) and Jing Bi (Dassault Systemes).
    Project Title: Predicting Fea Results Using 3D-CNN for Use With Topological Optimization.

  6. Nikita Seleznev (MTH540)
    MC2 Client point of contact: Alfa Heryudono (Dept. of Mathematics).
    Project Title: Using Machine Learning for Interpreting Seismic Type Data.

  7. Ben Burnett (EAS621)
    MC2 Client: Maricris Mayes (Dept. of Chemistry) and Sigal Gottlieb (Dept. of Mathematics).
    Project Title: Strong Stability Preserving Runge-Kutta Methods for Chemistry Codes.

  8. Matthew Cormier (EAS621)
    MC2 Client: Sigal Gottlieb (Dept. of Mathematics).
    Project Title: Machine Learning Optimization for Strong Stability Preserving Integrating Factor Runge-Kutta Nonlinear Splitting.

  9. Tousif Islam (EAS621)
    MC2 Client: Scott Field (Dept. of Mathematics).
    Project Title: Implementing a New Gravitational Model in gwsurrogate Python Package.

  10. Connor Kenyon (EAS621)
    MC2 Client: Scott Field (Dept. of Mathematics) and Gaurav Khanna (Dept. of Physics).
    Project Title: Python-Based Symbolic Tensor Calculations.

  11. Agata Piffer Braga (EAS621)
    MC2 Client: Daniel MacDonald (School for Marine Science and Technology).
    Project Title: MITgcm Lock-exchange.

  12. Feroz Shaik (EAS621)
    MC2 Client: Scott Field (Dept. of Mathematics)
    Project Title: Error Estimation and Bounds for Gravitational-Wave Surrogate Models.

  13. Iury Simoes De Sousa (EAS621)
    MC2 Client: Amit Tandon (Dept. of Mechanical Engineering and SMAST).
    Project Title: Numerical Simulations for Climate Model Parametrization.

  14. Richard Bellizzi (EAS622)
    MC2 Client: Nye Lubricants.
    Project Title: Enhancing Bearing Corrosion Detection: Comparing Transfer Learning to an Artificially Generated Dataset.

  15. Cory Hoi (EAS622)
    MC2 Client: Alfa Heryudono (Dept. of Mathematics) and Mehdi Raessi (Dept. of Mechanical Engineering).
    Project Title: Designing a partially connected neural network to predict eyedrop distribution.

  16. Rebecca Pereira (EAS622)
    MC2 Client: Yanlai Chen and Bo Dong (Dept. of Mathematics).
    Project Title: A Fully Conservative Discontinuous Galerkin Method for the Generalized Korteweg-De Vries Equation.

  17. Richard Raithel (DSC550)
    MC2 Client: Nye Lubricants.
    Project Title: Development and Implementation of R&D Database at Nye Lubricants.

MTH440 Students:

  1. Brian Cellini
    MC2 Client: Keivan Sadeghzadeh (Dept. of Decision & Information Sciences).
    Project Title: Mental Health Service Supply and Demand in the Post-Pandemic Healthcare.

  2. Miya Spinella
    MC2 Client: Keivan Sadeghzadeh (Dept. of Decision & Information Sciences).
    Project Title: Mental Health Service Supply and Demand in the Post-Pandemic Healthcare.

  3. Tangxiao Sun
    MC2 Client: Donghui Yan (Dept. of Mathematics).
    Project Title: Variable Selection by Alpha-Beta Pruning.

  4. Gabriella Thomas
    MC2 Client: Diego Bernal and Ashley Stoehr (Dept. of Biology).
    Project Title: Modeling Internal Temperature in Swordfish Based on Environmental Conditions.