UNIVERSITY OF WISCONSIN River Falls
Assistant Professor - College of Business and Economics
member of graduate faculty
Start Year: 2015
Computer, Information, and Data Sciences
Office: 23d South Hall
Ph.D University of Arkansas, Computer Science
M.A. University of Texas, Mathematics
B.S. University of Arkansas, Mathematics
After starting his teaching career in Mathematics, Dr. Hendricks now enjoys teaching Computer Science courses. He has also taught courses using a variety of programming languages and regularly teaches courses in software engineering.
Dr. Hendricks’ research interests are two-fold. First, he is interested in the theoretical modeling of nanoparticles with the goal of understanding systems in which simple local interactions lead to complex global behaviors and/or structures. Studying such systems may not only contribute to a better understanding of complexities that arise in nature but also aid in the development of nanotechnologies. Secondly, he is interested in the computational modeling of nanoparticles. With the help of his collaborators, he is working to develop software capable of simulating the molecular dynamics of DNA-functionalized nanoparticles building blocks.
Hendricks, J., Chalk, C. T., Patitz, M. J., Sharp, M. (2018). Thermodynamically Favorable Computation via Tile Self-assembly (pp. 16-31). Unconventional Computation and Natural Computation - 17th International Conference.
Hendricks, J., Patitz, M. J., Rogers, T. A. (2017). Reflections on tiles (in self-assembly). Natural Computing, 16, 21.
Hendricks, J., Patitz, M. J., Rogers, T. A. (2016). Doubles and Negatives are Positive (in Self-Assembly). Natural Computing, 15(1), 69-85.
Hendricks, J. G., Patitz, M. J., Rogers, T. A., Summers, S. M. (in press). The Power of Duples (in Self-Assembly): It's Not So Hip To Be Square. Journal of Theoretical Computer Science - Elsevier, 19. http://www.sciencedirect.com/science/article/pii/S030439751501169X
Hendricks, J., Fochtman, T., Padilla, J. E., Patitz, M. J., Rogers, T. A. (2014). Signal Transmission Across Tile Assemblies: 3D Static Tiles Simulate Active Self-Assembly by 2D Signal-Passing Tiles. Natural Computing, special issue of invited papers from DNA19. Springer Netherlands, 1-14.