Ronnie C. Brockhoff | Teaching Assistant Professor
CONCO - D. Craig and Dalene D. Nelson - Carl and Mary Ice Cornerstone Teaching Scholar
Ph.D. – 2004, Kansas State University
Nuclear Engineering
M.S. – 1994, Kansas State University
Nuclear Engineering
B.S. – 1992, Kansas State University
Nuclear Engineering
Contact information
3024 Rathbone Hall
785-532-5610
rcb7777@k-state.edu
Professional experience
Ronnie received a B.S. degree in nuclear engineering from Kansas State University in 1992, a M.S. eegree in nuclear engineering in 1994, and a Ph.D. in nuclear engineering in 2003. They worked in the X6 Theoretical Physics Division at Los Alamos National Laboratory from 1993 to 1997. They held a Q-Level Security Clearance during this period and published a series of papers related to the use of MCNP for radiation transport and medical imaging analysis. In 1998 Dr. Brockhoff worked briefly in the CIS department at Topeka Technical College before taking a new position as a software engineer at Networks Plus in Manhattan, Kansas. Dr. Brockhoff continued in this capacity until forming their own software development company in 2003. Dr. Brockhoff acted as the president of this corporation for fifteen years and is proficient in many programming languages including VB.Net, C#, C++, Java, and Xcode. In 2016 Dr. Brockhoff returned to Kansas State University in hopes of making a positive impact on current and future students in the department.
Research
Dr. Brockhoff published a series of papers in the early 1990s. These publications included several journal articles in Nuclear Science and Engineering. These publications focused on the use of MCNP for radiation transport calculations as well as its use for medical imaging analysis.
Academic highlights
Dr. Brockhoff authored and/or co-authored several journal articles. Her research focused on the use of the MCNP transport code maintained by the Los Alamos National Laboratory, and focused on the use of radiation transport calculations to develop simplified Skyshine and Albedo approximations. She also developed a series of models to reconstitute phantoms based on actual patient profiles and use them to analyze different potential CT scanner designs.