Dr. Oruklu's research activities in are in the following areas:

1. 1. Realt-time ultrasonic embedded systems
   

1. 1. ◦Real-time ultrasonic sensor systems for nondestructive evaluation (NDE) applications
      

   2. ◦Ultrasonic flaw detection algorithms with split-spectrum processing using order statistics and neural networks
      

   3. ◦Neural networks for microstructure evaluation of materials using ultrasound
      

   4. ◦Signal classification for the ultrasonic imaging of multilayered and composite materials
      

   5. ◦Statistical signal processing for target detection
      

   6. ◦Chirplet transform algorithms for ultrasonic denoising and data compression.
      

   7. ◦Multi-resolution signal decomposition based on discrete wavelet transform (DWT) and adaptive thresholding for denoising algorithms
      

   8. ◦Robust 3D ultrasonic compression algorithms based on non-uniform DWT implementation
      

   9. ◦Hardware/software codesign of a robust embedded computing engine for ultrasonic imaging applications using FPGAs
      

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2. 2.System-on-Chip design and Reconfigurable Logic
   

1. 1. ◦System architecture development for real-time signal processing and imaging applications
      

   2. ◦Run-time (partial) reconfigurable architecture research
      

   3. ◦Hardware/software codesign methodology utilizing FPGA devices to accelerate the development process
      

   4. ◦Multiprocessor/multicore system design for multi-tasking using embedded processors
      

   5. ◦Network-on-Chip hardware topologies and polymorphic computing
      

   6. ◦Graphics Processing Unit (GPU) based parallel processing architectures
      

   7. ◦High -Level Synthesis (HSL) using hardware C compilers
      

   8. ◦Video processing platform development on FPGAs
      

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3. 3.VLSI architectures for high speed computer arithmetic
   

1. 1. ◦Decimal arithmetic unit design with fast signed-digit architectures
      

   2. ◦Multi-operand adders using flagged constant addition
      

   3. ◦Scalable, large matrix multiplication architectures
      

   4. ◦Hardware efficient implementation of Fast Fourier Transform
      

   5. ◦QR factorization using unified division, square root, and inverse square root hardware
      

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4. 4.Sensor technologies
   

1. 1. ◦Integration of sensors, real-time embedded processing, and network technologies
      

   2. ◦Wireless sensor networks
      

   3. ◦Network integration and sensor infrastructure
      

   4. ◦Real-time video & image processing for security / control / surveillance applications