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David Joiner, PhD
David Joiner, PhD
Dr. David Joiner is the Kenneth L. Estabrook Professor of Science, Technology, and Mathematics Education at Kean University, and an Associate Professor in NJCSTM. His work focuses on two areas, the application of computing to the solution of problems in astronomy and the infusion of computational science into secondary and undergraduate curriculum.
As an astrophysicist, Dr. Joiner’s work focuses on modeling properties of the interstellar medium, particularly through the use of radiative transfer for embedded objects such as asymptotic giant branch stars and cataclysmic objects such as novae. His work in educational technology focuses on building hardware and software tools that enhance the classroom and he is developing software tools for performing scientific visualization in virtual reality environments.
Dr. Joiner is a member of the LittleFe team that builds and designs portable cluster computers for classroom use, and has worked with the Shodor Education Foundation helping to design such tools as Project Interactivate and the Modeling and Simulation Tools for Education Reform. He has received awards from the NSF funding research infrastructure at Kean including a 130-node computer cluster that when first built was the fastest computer at a public institution in the state of New Jersey, and a 3-D immersive CAVE environment.
Dr. Joiner received his Ph.D. in Physics from Rensselaer Polytechnic Institute in 1999.
Current Research Focus - Using Game Engines for 3D Scientific Visualization
Current Research Focus - Using Game Engines for 3D Scientific Visualization
This research stream provides students with the opportunity to utilize computer programming and game engines to design and test novel applications to answer scientific questions. The goal of this research stream is to investigate how video game engines, which have a large user base and robust instructional materials, can be used to solve many of the same visualization problems as are currently done using scientific visualization software, while additionally picking up the features typical of game engines of a rich immersive experience and high levels of interactivity.
Students will use the Unity Game Engine to build immersive and highly interactive data exploration environments. Students should have some experience with computer programming in a C style language (C/C++, C#, Java).
This research stream is appropriate for students with an interest in computational mathematics, data analytics and computer assisted visualization in the arts, sciences, engineering or teaching.
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