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RESEARCH

Assistant Professor Ignjatovic's primary research interest is in the area of analog integrated circuit design. Specifically, his research is focused toward implementing new design solutions while also improving current analog designs using existing principles and methodologies.

A great deal of effort has been made in the research community toward the optimization of standard CMOS fabrication processes for digital VLSI implementations; however, the optimization of standard CMOS fabrication processes for analog designs has received much less attention.

As feature dimensions have shrunk, meeting goals related to component noise and mismatch has become even more challenging for analog design with modern fabrication processes. Driven by consumer demand, the requirements placed on low power consumption (e.g., for battery powered devices), high speed, high dynamic range, and low price have become increasingly stringent. These opposing design challenges are very difficult to resolve within the standard CMOS processes because the design space has fewer degrees of freedom.

Modern analog design requires not only careful layout within standard design principles, but also radical solutions appropriate for specific applications. Indeed, analog IC implementations must be optimized for specific applications by improving existing designs with careful layout. As evidenced by Dr. Ignjatovic's research activities, it is more important to introduce signal-processing innovations and to seek solutions and ideas from well-established fields (e.g., number theory, nature, etc.) and map these solutions to analog IC design principles. It has become common practice for analog sub-systems to operate at the edge of their performance, where further layout improvement leads to moderate performance improvement.

As a secondary research arena, Dr. Ignjatovic is interested in signal-processing algorithms, such as effective information packing transformations (DCT and wavelet transforms), data compression, digital communications, and data encoding. He considers knowledge in these areas to be an excellent asset in the development of analog IC design solutions.

Dr. Ignjatovic's current research includes these areas of study:

  • Image sensors and image acquisition systems with built-in compression based on Arithmetic Fourier Transform. Research supported by NSF.
  • Image sensors with improved settling time, readout speed, and low-light response based on Current Sensing Active Pixel readout method.
  • High-dynamic range, low-power Sigma-Delta pixel level Analog-to-digital converters for image sensors. Research supported by:
         Signal Sciences Inc.
         NY state Center for Electronic Imaging Systems
         Astronomy and Physics Research and Analysis program of NASA.
  • Analog-to-digital converters employing blue-noise modulation technique allowing a significant reduction in 1/f noise, DC offset, gain non-linearity, and substrate coupling noise. Research supported by ONR.
  • Development of Image Sensors in Silicon-on-Glass technology. Research supported by Corning, Inc.
  • Low-power, precise sensor interface circuits. Research supported by:      Signal Sciences, Inc.
         ONR
  • Ultra-low power Sentry mode circuit for Info-Sensor systems. Research supported by ONR.
  • Digital NanoLens structures for micro-imaging battery powered devices
  • Quantasound: Binary phase modulated ultrasound readout for wearable ultrasound applications
  • Clock randomization methodology for substrate coupling and di/dt noise reduction in mixed-signal circuits

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