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Research Focus

Our research is focused on design of integrated circuits and systems for collaborative and autonomous sensor systems, computing and communications. Design of high-performance, robust and energy-efficient mixed-modal circuits leads to the advancement of new tools as well as encompassing framework including software and smart systems around which it further fuels the theoretical development. Current research themes are:

Self-sustainable Systems using Statistical Signal Processing
  • Circuits and systems for data compression for energy-efficient monitoring and data transmission
  • Autonomous Energy Efficient Miniaturized Analog Front End of Internet-of-Things
Broadband Communications
  • Circuits and systems for broadband data conversion including ADCs/DACs
  • Self-sustainable RF systems and Cognitive Radio
Selected research projects are highlighted below:
1. Millimeter-Wave Multi-Beam MIMO Networks for Gigabit Mobile Access – project website
2. Hardware information-aware statistical learning and spectral compression – project website (coming soon)
3. Miniaturized wearable transmitter for preterm infant pain monitoring – project website (coming soon)


We are grateful to the support of our sponsors towards our research programs.

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Hardware / EDA Support

NVIDIA GPU program for their continued support towards our research program. Xilinx and Altera (Intel) for their support for Millimeter-Wave testbed validation. We also acknowledge Cadence, Mentor and MOSIS for their support towards chip fabrication and EDA tools.


Graduate Students

Openings : Openings for PhD Students for Spring/Fall 2018 in broadband and low-power circuits and systems. Likely candidates for PhD should have a good background in communication, analog circuits and signal processing with strong analytical skills. Familiarity with Cadence simulation suite, and Matlab is desirable.
Send your CV, intended areas of research to me at


Email me at or come to my office at EME 233, EECS.