Robert J. Brunner

Electrical and Computer Engineering
Robert J Brunner
Professor
  • Astronomy
226 Astronomy Building
1002 W. Green
Urbana Illinois 61801

Primary Research Area

  • Signal Processing - Machine learning and pattern recognition

For more information

Profile

Research Statement

 

My research is focused on the application of advanced computational and statistical techniques to optimally extract knowledge to astronomical data in an effort to better understand the Universe in which we live. Specific application areas currently include: 1) Development and application of new statistical and machine learning  techniques to large astrophysical data. Specific algorithms currently include random forests, random atlas, hierarchical Bayesian estimation, and deep neural networks, while specific application areas include source classification, image classification, and distance estimation. 2) Development and application of new cosmological measurement codes, in particular n-point clustering measurements and the quantifying the constraints these new measurements place on cosmological parameters and our understanding of the growth of large scale structure.  3) Acceleration of learning and cosmological measurement codes by using new hardware technologies. Currently these efforts focus on the use of multi- and many-core systems, GPUs, and cloud-based systems. 4) Identification and characterization of transient and variable phenomena in large photometric and spectroscopic data. These projects primarily use photometric and spectroscopic data from the Sloan Digital Sky Survey, the Baryon Acoustic Oscillation Spectroscopic Survey, and the Dark Energy Survey, as well as several space-based surveys. Many of the techniques developed are also applicable to the design and operation of the forthcoming large synoptic survey telescope. More information can be found by contacting me directly or visiting our group website.

 

Research Areas

  • Machine learning and pattern recognition

Courses Taught

  • ACCY 570 - Data Anlaytics Foundations
  • ACCY 570 - Data Analytics For Acct A
  • ACCY 570 - Data Analytics For Acct B
  • ACCY 570 - Data Analytics Foundations
  • ACCY 571 - Stat Analyses for Accountancy
  • ASTR 330 - Extraterrestrial Life
  • ASTR 401 - Scientific Writing for Astro
  • ASTR 406 - Galaxies and the Universe
  • ASTR 496 - Foundations of Data Science
  • ASTR 596 - Practical Machine Learning
  • CS 199 - Applied Cloud Computing
  • CS 398 - Applied Cloud Computing
  • INFO 490 - Advanced Data Science
  • INFO 490 - Foundations of Data Science
  • INFO 490 - Introduction to Data Science
  • INFO 590 - HP Visualization Data Analytic
  • INFO 597 - Individual Study
  • IS 490 - Foundations of Data Science
  • IS 490 - Advanced Data Science
  • STAT 430 - Advanced Data Science
  • STAT 430 - Foundations of Data Science