About the Team

The team consists of three members mentored by a senior graduate student.

Ryan Kabrick

Ryan Kabrick is a senior undergraduate student at the University of Delaware. He is pursuing a double major in both Computer Engineering and Applied Mathematics. His areas of interest surround brain-inspired computation as well as brain-computer interfaces. He is excited to begin his PhD work in computer engineering following his graduation in May, 2020.

Dawson Fox

Dawson Fox is a senior undergraduate student at the University of Delaware. He is studying Computer Engineering and is particularly interested in FPGA development and low-level coding. He is excited to apply his skills to high performance computing and interesting new programmable logic applications.

Diego Andres Roa Perdomo

Diego Andres Roa Perdomo is a junior graduate student in the Electrical and Computer Engineering department at the University of Delaware. His areas of interest involve multiple facets of parallel computing, with a special focus on dataflow hardware-software codesign and dataflow based program execution models. He was in charge of the design, modeling, 3D-printing and construction of DEMAC. He is also highly motivated to develop novel dataflow-based tools for artificial intelligence implementations.

Siddhisanket Raskar

Siddhisanket Raskar is a senior graduate student in Electrical and Computer Engineering department at the University of Delaware. His areas of interest are distributed computing, high performance computing and computer architecture, especially dataflow based program execution models. He has previous experience of participation in this competition.

Jose Monsalve Diaz

Jose Monsalve Diaz is a final year, senior PhD student in Electrical and Computer Engineering department at the University of Delaware. His areas of interest are multiple areas of parallel computing, with a special focus on dataflow computer architecture design and dataflow based program execution models. He is also a former participant of this competition, previously exhibiting the importance of dataflow based execution models for machine learning applications. Jose has additional experience in multiple parallel programming models such as OpenMP and MPI, with an emphasis in GPU programming.

Professor Emeritus Guang Gao