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Chuck Anderson

Reinforcement Learning Brain-computer Interfaces High-dimensional Data Analysis Representational Learning Custom AI Solutions For Health And Environment
Computer Science Building 444
Colorado State University Department of Computer Science

About

I am a professor in the Department of Computer Science, Colorado State University (CSU), working on machine learning algorithms and deep neural networks for reinforcement learning, brain-computer interfaces and high-dimensional data in general. My interests are in algorithms for classification, modeling, and control problems, the representations learned by them, and what this tells us about the data. Please contact me if you would like to explore the patterns in your data using machine learning methods. Information about our on-line graduate program is available at Degrees Without Borders: Online Programs in Artificial Intelligence. You may also contact my AI consulting company, Pattern Exploration, whose goal is to develop custom AI solutions to important problems, such as ones related to health, environment, and energy. I received my Ph.D. in Computer Science from the University of Massachusetts, Amherst in 1986, advised by Andrew Barto. After working for three years at GTE Labs, Waltham, MA, I joined the computer science department at Colorado State University, where I have joint appointments in the Molecular, Cellular, and Integrative Neuroscience Program, the School of Biomedical Engineering, the Graduate Degree Program in Ecology, and the Online Systems Engineering Program.

Research Performance Summary

248
Total Papers
15136
Total Citations
47
H-Index
1982-2025
Active Research Span

First Recorded Paper

Synthesis of nonlinear control surfaces by a layered associative search network

Year: 1982

Citations: 84

Venue: Biological Cybernetics 43 (3)

Latest Recorded Paper

A self-training spiking superconducting neuromorphic architecture

Year: 2025

Citations: 1

Venue: npj Unconventional Computing 2 (1), 5

Last 10 Years Publication Activity

This timeline shows the professor's yearly publication activity.

2025
2
2024
10
2023
3
2022
9
2021
6
2020
8
2019
12
2018
6
2017
4
2016
9
2015
9

Publication Venues and Collaboration

Journal, Conference, and Book Publication Breakdown

Conference 82
Journal 30
Book 36

Top Coauthors

Anderson Young

Research Impact by Period

2025-2026

Period Stats
Papers 2
Citations 6
Avg. Citations / Paper 3
H-Index 1

2020-2024

Period Stats
Papers 36
Citations 353
Avg. Citations / Paper 9.8
H-Index 11

2015-2019

Period Stats
Papers 40
Citations 670
Avg. Citations / Paper 16.8
H-Index 11

2010-2014

Period Stats
Papers 45
Citations 894
Avg. Citations / Paper 19.9
H-Index 13

2005-2009

Period Stats
Papers 25
Citations 1133
Avg. Citations / Paper 45.3
H-Index 13

2000-2004

Period Stats
Papers 30
Citations 3571
Avg. Citations / Paper 119
H-Index 15

1995-1999

Period Stats
Papers 33
Citations 1411
Avg. Citations / Paper 42.8
H-Index 15

1990-1994

Period Stats
Papers 19
Citations 716
Avg. Citations / Paper 37.7
H-Index 9

1985-1989

Period Stats
Papers 12
Citations 695
Avg. Citations / Paper 57.9
H-Index 8

1980-1984

Period Stats
Papers 6
Citations 5687
Avg. Citations / Paper 947.8
H-Index 5

Contact and Professional Links

Contact Information

anderson@cs.colostate.edu
9704917491

Detected Research Keywords

Brain Computer Interface Brain Computer Interfaces Robust Reinforcement Learning International Brain Computer Computer Interface Meeting Reinforcement Learning Control Neuronlike Adaptive Elements Adaptive Elements Can Elements Can Solve Can Solve Difficult