PROSPECTIVE STUDENTS

• Ph.D. Student position in Reconfigurable Computing
  A Ph.D. student position in Reconfigurable Computing at Oakland University is open for Fall 2015. The successful candidate will work under the direction of Dr. Llamocca. Current research areas include i)hardware development for automotive and video compression applications, ii) embedded system design with FPGAs, and iii) Run-Time Reconfigurable Techniques on FPGAs.
  Applicants should have a B.Sc. degree in electrical/computer engineering. Relevant experience in hardware design, signal processing, and embedded systems is desired. Self-motivation, good programming skills, writing skills, and willingness to work in a collaborative environment are expected.
  Applicants should send their CV and their GRE score to Dr. Llamocca while at the same time following the school admission procedures. The application deadline for Fall 2015 is July 15 for domestic students and May 1 for international students.


• Graduate Research Opportunities
  Prospective M.Sc. and Ph.D. students are encouraged to apply if they are interested to work in the areas of computer architecture, reconfigurable computing, embedded systems, and GPU programming. Experience in hardware design is a plus. In order to be considered for graduate studies, you must formally apply to the Electrical and Computer Engineering Department at Oakland University.


• Undergraduate Research Opportunities
  Undergraduate students are welcome to conduct research in the RECRLab, particulary during Summer months. Students will work on a project under the supervision of a faculty advisor or will assist a senior graduate student in their research. Strong motivation is desired.
  • NSF REU Summer 2015 Project: High-Performance Architectures for Cylinder Pressure Estimation
  • Summer 2015 Project: Reconfigurable Architectures for Video Compression

RESEARCH AREAS

• Reconfigurable Computing
• High Performance architectures for computer arithmetic, signal/image processing, and video compression (HEVC)
• Dynamic Partial Reconfiguration and Dynamic Frequency Control on FPGAs
• Run-time multi-objective management of hardware architectures (e.g.: Power/Energy-Performance-Accuracy)
• VHDL/Verilog: Efficient Parameterization of hardware architectures
• Field Programmable Wiring Systems for power, analog, and digital signals


• Embedded Systems
• Microcontroller-based Systems
• Hardware/Software co-design on System-on-Chip devices
• Efficient architectures for embedded interfaces
• Applications in automotive, DSP, and image processing


• GPU Programming
• High-performance implementations for Digital, Image, and Video processing applications
• Integration with multi-threaded implementation on CPUs
• Comparisons with FPGA implementations

ACTIVE COLLABORATIONS

• Dynamically Reconfigurable Architecture Systems for Time-Varying Image Processing Constraints (DRASTIC). (ivpcl)
• Dynamically Reconfigurable OpenRISC Framework. (Proteus Project)
• Mathematics and Engineering Education. (AOLME Project)

PRESENTATIONS

• Instantaneous Cylinder Pressure Estimation, Fiat Chrysler Automobiles, Auburn Hills, MI, 10/30/2017
• Self-Reconfigurable Embedded Systems, SECS-OU Advisory Board, Rochester, MI, 05/04/2017
• A Framework for Run-Time Reconfigurable Computing, Oakland University, Rochester, MI, 10/24/2014

Reconfigurable Computing Research Laboratory (RECRLab), Electrical and Computer Engineering Department, Oakland University