Ali Akoglu is an Professor in the Department of Electrical and Computer Engineering and the BIO5 Institute at the University of Arizona. He is the site-director of the National Science Foundation (NSF), Industry-University Cooperative Research Center on Cloud and Autonomic Computing regarding the design and development of architectures for achieving self-management capabilities across the layers of cloud computing systems, director of the NVIDIA CUDA Teaching Center for promoting the GPU based computing across the UA campus, and the director of the Reconfigurable Computing Laboratory on design and development of adaptive hardware architectures and self-configurable architectures for reusable systems. He received his Ph.D. degree in Computer Science from the Arizona State University in 2005. His research program focuses on high performance computing systems and non-traditional computing architectures with themes that cover: a) development of resource management strategies from multi-processor system-on-chip to cloud computing scale; b) design and development of reconfigurable hardware architectures for reusable systems; c) modeling and simulation of neuromorphic computing architectures; and d) restructuring computationally challenging algorithms for achieving high performance on field programmable gate array (FPGA) and graphics processing unit (GPU) hardware architectures. He has been involved in many crosscutting collaborative projects with the goal of solving the challenges of bridging the gap between the domain scientist, programming environment and emerging highly-parallel hardware architectures. His research projects have been funded by the National Science Foundation, Defense Advanced Research Projects Agency, Office of Naval Research, US Air Force, NASA Jet Propulsion Laboratories, Army Battle Command Battle Laboratory, and industry partners such as Nvidia and Raytheon.