Daniel Llamocca, Ph.D.

Assistant Professor Electrical and Computer Engineering Department (248) 370-4042 llamocca@oakland.edu Ph.D., University of New Mexico

Teaching

• Digital Logic
• Reconfigurable Computing
• Computer Architecture
• Microprocessors
• Embedded Systems
• Digital Signal and Image Processing with FPGAs

Research

• Run-time Reconfigurable Architectures
• Embedded Systems
• High performance architectures for computer arithmetic
• Signal and image processing
• Video communications.

“Research in run-time automatic adaptation of hardware resources to time-varying constraints with the purpose of deliver- ing the optimal hardware solution at any given time.” -Daniel Llamocca, 2014.

Selected Publications

1. Carranza, C., Llamocca, D., Pattichis, M., “Fast and Scalable Computation of the Forward and Inverse Discrete Periodic Radon Transform”, IEEE Transactions on Image Processing, 25, no. 1, pp 119-133, January. 2016.
   
   
2. Llamocca, , Pattichis, M., "Dynamic Energy, Performance, and Accura- cy Optimization and Management using automatically generated constraints for separable 2-D FIR filtering for digital video processing", ACM Transactions on Reconfigurable Technology and Systems (TRETS), vol. 7, no. 4, Article 31, January 2015.
   
   
3. Llamocca, , Murray, V., Jiang, Y., Pattichis, M., Lyke, J., and Avery, K., "Scalable Open-Source Architecture for Real-Time Monitoring of Adap- tive Wiring Panels", AIAA Journal of Aerospace Information Systems, vol. 11, no. 6, pp. 344-358, June 2014.
   
   
4. Llamocca, , Pattichis, M., "A Dynamically Reconfigurable Pixel Proces- sor System based on Power/Energy-Performance-Accuracy Optimization", IEEE Transactions on Circuits and Systems for Video Technology, vol. 23, no. 3, pp. 488-502, March 2013.