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Publications in VIVO
 

Raissi, Maziar Assistant Professor

Positions

Research Areas research areas

Research

research overview

  • My expertise lies at the intersection of Probabilistic Machine Learning, Deep Learning, and Data Driven Scientific Computing. In particular, I have been actively involved in the design of learning machines that leverage the underlying physical laws and/or governing equations to extract patterns from high-dimensional data generated from experiments.

keywords

  • probabilistic machine learning, deep learning, data driven scientific computing

Publications

selected publications

Teaching

courses taught

  • APPM 4720 - Open Topics in Applied Mathematics
    Primary Instructor - Fall 2020 / Spring 2021 / Fall 2021
    Provides a vehicle for the development and presentation of new topics that may be incorporated into the core courses in applied mathematics. Department enforced prerequisite: variable, depending on the topic, see instructor. May be repeated up to 15 total credit hours. Same as APPM 5720.
  • APPM 5720 - Open Topics in Applied Mathematics
    Primary Instructor - Fall 2020 / Spring 2021 / Fall 2021
    Provides a vehicle for the development and presentation of new topics that may be incorporated into the core courses in applied mathematics. Department enforced prerequisite: variable, depending on the topic, see instructor. May be repeated up to 6 total credit hours. Same as APPM 4720.
  • APPM 8000 - Colloquium in Applied Mathematics
    Primary Instructor - Spring 2021
    Introduces graduate students to the major research foci of the Department of Applied Mathematics.
  • STAT 2600 - Introduction to Data Science
    Primary Instructor - Spring 2020 / Fall 2020
    Introduces students to importing, tidying, exploring, visualizing, summarizing, and modeling data and then communicating the results of these analyses to answer relevant questions and make decisions. Students will learn how to program in R using reproducible workflows. During weekly lab sessions students will collaborate with their teammates to pose and answer questions using real-world datasets.

Background

International Activities

global connections related to teaching and scholarly work (in recent years)

Other Profiles