ERDAL ORUKLU Ph.D.
Dr. Oruklu's research activities in are in the following areas:
- System-on-Chip design and reconfigurable Logic
- System architecture development for real-time signal processing and imaging applications
- Run-time (partial) reconfigurable architecture research
- Hardware/software codesign methodology utilizing FPGA devices to accelerate the development process
- Multiprocessor/multicore system design for multi-tasking using embedded processors
- Network-on-Chip hardware topologies and polymorphic computing
- Graphics Processing Unit (GPU) based parallel processing architectures
- High -Level Synthesis (HSL) using hardware C compilers
- Video processing platform development on FPGAs
- VLSI architectures for high speed computer arithmetic
- Decimal arithmetic unit design with fast signed-digit architectures
- Multi-operand adders using flagged constant addition
- Scalable, large matrix multiplication architectures
- Hardware efficient implementation of Fast Fourier Transform
- QR factorization using unified division, square root, and inverse square root hardware
- Signal processing and ultrasonic imaging applications
- Real-time ultrasonic sensor systems for nondestructive evaluation (NDE) applications
- Ultrasonic flaw detection algorithms with split-spectrum processing using order statistics and neural networks
- Neural networks for microstructure evaluation of materials using ultrasound
- Signal classification for the ultrasonic imaging of multilayered and composite materials
- Statistical signal processing for target detection
- Chirplet transform algorithms for ultrasonic denoising and data compression.
- Multi-resolution signal decomposition based on discrete wavelet transform (DWT) and adaptive thresholding for denoising algorithms
- Robust 3D ultrasonic compression algorithms based on non-uniform DWT implementation
- Hardware/software codesign of a robust embedded computing engine for ultrasonic imaging applications using FPGAs
- Sensor technology
- Integration of sensors, real-time embedded processing, and network technologies
- Wireless sensor networks
- Network integration and sensor infrastructure
- Real-time video & image processing for security / control / surveillance applications
We gratefully acknowledge the support and collaboration of our ASIC and FPGA design and development partners:
