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Systems-on-Chip Lab Systems-on-Chip Lab

Low-power low-noise miniature front-end

Multi-channel Compressive Encoder (IEEE BioCAS 2016)
Precise positioning using 3D imaging (BMES 2016)
143 nW Near Zero Power Relaxation Oscillator (IEEE Sensors 2016)

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:

Systems for self-sustainable Internet-of-Things with Statistical Signal Processing
  • Compressive-sensing for energy-efficient monitoring and data transmission with dimensionality reduction
  • Autonomous Energy Efficient Miniaturized Analog Front End of Internet-of-Things

Broadband Wireless and Wireline Communications

  • Broadband Data Converters including ADCs/DACs
  • Self-sustainable RF systems and Cognitive Radio
We thank Life Sciences Discovery Fund, Murdock Foundation and WSU Office of Research and Commercialization for their continued support towards our research program. We also acknowledge Cadence, Mentor and MOSIS for their support towards chip fabrication and EDA tools.


Graduate Students
Openings : 2 openings for PhD Students for Fall 2017 in broadband and low-power circuits and systems. Likely candidates for PhD should have taken courses on communication, analog circuits and signal processing with strong analytical skills.
Please send your CV, intended areas of research to me at
Please email me at or come to my office at EME 233, EECS.