Nanolab is an interdisciplinary research group at Tufts University led by Dr. Sameer Sonkusale.

At Nanolab, we are interested in answering the following questions: "How can micro- and nano-electronics benefit lifesciences and medicine?", "Can we build single-chip sensors and instruments on silicon CMOS", and "how do we explore emerging concepts (e.g. metamaterials, plasmonics) and novel materials (e.g. carbon nanotubes, graphene) for new and improved functions in our devices, circuits and sensors?".

Some current research focus areas in our group are:

  1. Nanoelectrochemical Systems on Silicon
  2. CMOS Image Sensors for Scientific Imaging
  3. CMOS-Nano Integration: CMOS For Nanoassembly and Nanofabrication
  4. Circuits and Systems for Wearable and Implantable Biomedical Microdevices
  5. Analog to Information Converters and Compressed Sensing Front Ends
  6. Asynchronous Analog and Mixed Signal Design
  7. Active Metamaterial Devices, Circuits and Systems
  8. Digitally Assisted Analog Design

Please browse through our research and publications section to learn more.

NEW!! Research Assistantship positions are available to promising graduate students for Spring 2012. Click here for more information.

Latest News

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Kyoung crosses the finish line

Kyoung Chul Park has finally crossed that elusive finish line by defending his dissertation titled "Lab-on-chip platforms on CMOS for manipulating and sensing of biological entities". He will join Avago in California. Congrats Dr. Park!

 

Pooria defends his dissertation

Pooria Mostafalu defended his dissertation successfully on "Nano enabled sensors, electronics on various substrates". He will join Harvard University and Harvard Medical School as a postdoctoral researcher. Congrats!

 

Robbie's manuscript on analog multiplication using digital gates and passive circuits accepted for publication

Robbie's ingenious work on using just passive RC circuits and inverters to perform analog multiplication has been accepted for publication in Electronics Letters. Congrats Robbie! Chip results in the context of machine learning algorithms is planned for the near future.

 

Shideh succesfully defends her PhD dissertation!

Shideh Kabiri Ameri succesfully defended her PhD dissertation on "Two and three dimensional graphene for electronics, sensing and biotechnology". She is graduating with more than 11 journal (published and submitted), 11 conference papers and 1 invention disclosure to her name. Congrats on a job well done!

 
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