An agent-based model for high-fidelity ECLSS and bioregenerative simulation, July 2019
As published and presented at ICES 2019, in collaboration with the Biosphere 2, SIMOC was configured to approximate the non-linear functions of CO2 and biomass production in a real-world plant growth study conducted at the Biosphere 2. This publication sees the results of the first application of this novel approach to modeling a real-world plant study, where data generated by the SIMOC model is compared to data collected for the duration of the experiment, and then compared. Available from Texas Tech University
An interview for Self Made, December 2018
Host Andy Albright travels America to find entrepreneurs from wildly diverse backgrounds and companies share their big idea, their struggles, triumphs and their advise to others who want to take the path of Self Made. Farm, Mars, Movies, Brewery, Episode 9, Amazon
Finding the origin of noise transients in LIGO data with machine learning, December 2018
We present two machine learning methods, based on random forest and genetic programming algorithms, that can be used to determine the origin of non-astrophysical transients in the LIGO detectors. While the data sets described in this paper are specific to LIGO, … the code bases and means by which they were applied … are completely portable to any number of instruments in which noise is believed to be generated through mechanical couplings. Published in Communications in Computational Physics, volume 25, pp. 963-987. Available from the Arxiv
Exoplanets will become a reality, December 2017
Article for WIRED magazine’s “The Wired World in 2018”, British Edition, pages 41-42.
Looking Up, September 2017
Interview with Kechil Kirkham, Industrial Astronomer and weekly host. Find out about gravitational waves and the latest news about their detection from one of the visiting scientists at LIGO, Kai Staats.
TensorFlow Enabled Genetic Programming, July 2017
Genetic Programming, a kind of evolutionary computation and machine learning algorithm, is shown to benefit significantly from the application of vectorized data and the TensorFlow numerical computation library on both CPU and GPU architectures. Published in the proceedings of the Genetic and Evolutionary Computation Conference (GECCO) Companion, ACM 2017, pp. 1872-1879. Available from the Arxiv
LIGO Magazine, March 2017
To catch a Wave: A detection story in LIGO Magazine, Issue 10, pages 18-21
Audio Network, February 28, 2017
In How music helps us learn Kai Staats shares how the musical score is an integral part of horror, drama, fantasy and sci-fi. We anticipate that the instruments will amplify our emotions, carry our mood from scene to scene. Yet, documentaries are often devoid of the careful application of score. If we apply the same techniques, the same instrumentation, we not only keep the audience engaged but help the viewer retain the information given.
American Physical Society, January 31, 2017
Marco Cavaglia, Professor Physics at the University of Mississippi and Assistant Spokesperson for the LIGO Scientific Collaboration presents “LIGO detector characterization with Genetic Programming” in which we apply GP to categorization of LIGO noise and show that it can effectively be used to characterize the detector non-astrophysical noise both in low latency and offline searches.
Genetic Programming Applied to RFI Mitigation in Radio Astronomy, December 2016
The MSc thesis for Kai Staats, University of Cape Town, South Africa. At the time of this research, the application of machine learning to radio astronomy was relatively new. Genetic Programming had never been applied, and as such, was a novel approach to this challenging arena. Foundational to this body of research, the application Karoo GP was developed and tasked with the classification of signal verus radio frequency interference (RFI). The training data was derived from the output of an observation run of the KAT-7 radio telescope array built by the South African Square Kilometre Array (SKA-SA).
WOSU Radio – NPR Affiliate, September 2016
Space Colonization by All Sides with Ann Fisher, with guests Dr. Paul Sutter (OSU CCAPP), Fraser Cain (Universe Today), Katherine Gorringe (documentary filmmaker), and Dr. Pete Roma (NASA HI-SEAS). Discussed is space travel, life on Proxima B, and the HI-SEAS one year mission.
SPIE Proceedings, August 2016
Genetically optimized weather predictions built upon the Southern African Large Telescope (SALT) weather monitoring database. This remarkably simple approach developed principally by head astronomer Stephen Potter derives a functional weather predictor in order to prepare dome environment conditions for night time operations or plan, prioritize and update weather dependent observing queues.
Weekly Space Hangout, Universe Today, June 2016
Hosted by Fraser Cain, a live video interview with Kai Staats and Michael Landry, lead detection scientist at LIGO, Hanford. About filmmaking, the second LIGO detection of merging black holes, and translating science for the public audience.
Casimir, January 2016
“Why Does Mars Matter?”, an interview by Victoria Young for the South African based blog site which “explores the space between” in speaking with writers, artists, inventors, designers, filmmakers, chefs, scientists and travellers.
RealSpace with Dr. Paul Sutter, December 2015
“Making films about Science, Mars Analogues, and Streaking in Low Pressure Atmospheres”
Recorded at the South African offices of the SKA, we discuss filmmaking, surfing, living on Mars, underwater cities, civil war, a brief history of human migration, beans on toast, and of course, streaking in a low pressure atmosphere.
Space.com, August 2015
“Detecting Ripples in Space-Time, with a Little Help from Einstein”, co-authored with astrophysicist Marco Cavaglia, University of Mississippi.
Fiat Physica, December 2014
“Chatting Astronomy with Kai Staats” (interview)
Space.com, August 2014
“When Black Holes Cross Paths” by Kai Staats and Gaurav Khanna, Ph.D. at U Mass Dartmouth
LIGO Magazine, August 2014
A Passion for Understanding – An interview with Kai Staats in LIGO Magazine, Issue 5, pages 24-26
International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS), June 17-19, 2014
As the Crew Technician, Kai Staats assisted MarsCrew134 robotists Ewan Reid with rover control systems for a Mobile Robotic Platform Deployment as Part of a Martian Mission Simulation
OMNI Reboot, 24 September 2013
“Seeing Stars: Sex in Space” by anthropologist Cameron Smith, Ph.D., Portland State University; first edit by Kai Staats
Committee on Human Spaceflight, 9 July 2013
The Committee on Human Spaceflight (NASA Authorization Act of 2010) requires that the National Academies perform a human spaceflight study [to] review “the goals, core capabilities, and direction of human space flight” … this language reflects concerns that—without an accepted and independent basis for the establishment of long term goals—political cycles and other factors would continue to drive instability in the human spaceflight program. Download “Real Heroes: A Case for Continued U.S. Involvement in Human Space Exploration” by Kai Staats and Gaurav Khanna, Ph.D.
Humanity & Technology, 2004, 2010-12
Humanity & Technology is a column I wrote for MacNewsWorld (’04) and Northern Colorado Business Report (’10-12). Not a comparison of the speed of the latest wifi networks, but an introspective look at the effect of deeper integration of technology into the human experience, bringing to focus how our interaction with technology affects our relationship with each other, how it shapes the social evolution of our species.
The Stars’ Embrace, 2009
In The Stars’ Embrace, Kai Staats offers nineteen stories written over twenty years. His science fiction takes the reader from the ruthless rule of a near-future government, whose citizens are held captive by mind altering medication, to a distant planet where the remaining astronauts of a failed mission have lost all hope.
Getting Started with Yellow Dog Linux, 2002-06
First published in 2002 by OpenDocs Publishing, Getting Started with Yellow Dog Linux was written for anyone interested in running Yellow Dog Linux on a PowerPC computer, with emphasis on Apple computers. This book introduced the reader to Yellow Dog Linux, regardless of previous familiarity with Linux, enabling comfort and familiarity with the daily use of Linux, both in the graphical interface, and if desired, at the command line. “Getting Started” went into 2nd, 3rd, and 4th publications, each edition updated for the latest advancements of the Linux Desktop.