Daniel Hader
dhader (at) uark (dot) edu
Research Assistant to Dr. Matthew Patitz
Doctoral Academy Fellow
Department of Computer Science and Computer Engineering
Fayetteville, AR
Lab: JBHT 448
About Me
My name is Daniel Hader. I'm a PhD candidate at the University of Arkansas studying theoretical computer science. During my undergradate years at the University of Arkansas, I earned two Bachelors degrees, a B.S. of Mathematics and a B.S. of Computer Science. As a researcher, I'm particularly interested in the processes by which simple rules can lead to complex, rich dynamics. Much of my research has been focused on algorithmic self-assembly wherein basic components autonomously combine according to simple affinity rules to algorithmically produce interesting structures. This research is interesting both theoretically as a model of computation and practically as a means to design intricate nano-scale assemblies with amazing precision. I'm also generally fascinated by topics such as cellular automata, mathematical logic, computational complexity, and chaotic dynamical systems.
Refereed Conference Papers
Referee Work
I have reviewed papers for the following conferences and journals:
Thanks for visiting my site and feel free to email me about my research or anything interesting!
dhader (at) uark (dot) edu
Research Assistant to Dr. Matthew Patitz
Doctoral Academy Fellow
Department of Computer Science and Computer Engineering
Fayetteville, AR
Lab: JBHT 448
About Me
My name is Daniel Hader. I'm a PhD candidate at the University of Arkansas studying theoretical computer science. During my undergradate years at the University of Arkansas, I earned two Bachelors degrees, a B.S. of Mathematics and a B.S. of Computer Science. As a researcher, I'm particularly interested in the processes by which simple rules can lead to complex, rich dynamics. Much of my research has been focused on algorithmic self-assembly wherein basic components autonomously combine according to simple affinity rules to algorithmically produce interesting structures. This research is interesting both theoretically as a model of computation and practically as a means to design intricate nano-scale assemblies with amazing precision. I'm also generally fascinated by topics such as cellular automata, mathematical logic, computational complexity, and chaotic dynamical systems.
Refereed Conference Papers
- Fractal dimension of assemblies in the abstract tile assembly model, Daniel Hader, Matthew J. Patitz, Scott M. Summers. Proceedings of Unconventional Computing and Natural Computing 2021 (UCNC 2021)
- Self-replication via tile self-assembly, Andrew Alseth, Daniel Hader, Matthew J. Patitz. Proceedings of the 27th International Conference on DNA Computing and Molecular Programming (DNA 27)
- The impacts of dimensionality, diffusion, and directedness on intrinsic universality in the abstract tile assembly model, Daniel Hader, Aaron Koch, Matthew J. Patitz, Michael Sharp. 2020 ACM-SIAM Symposium on Discrete Algorithms (SODA 2020)
- Geometric tiles and powers and limitations of geometric hindrance in self-assembly, Daniel Hader, Matthew J. Patitz. Proceedings of Unconventional Computing and Natural Computing 2019 (UCNC 2019)
I have reviewed papers for the following conferences and journals:
- NACO 2021
- ISAAC 2021
- UCNC 2021
- ESA 2021
- DNA 27
- ICALP 2021
- SIROCCO 2020
- DLT 2020
- DNA 25
Thanks for visiting my site and feel free to email me about my research or anything interesting!