by | Feb 13, 2025 | Chakrabartty, Shantanu, Raman, Baranidharan, Singamaneni, Srikanth
— Published Date: 2/14/2025
Value Proposition: Portable and deployable platform that uses an AI-enabled, nanoparticle-based e-nose to sense explosive volatile organic compounds.
Technology Description
Researchers at Washington University in St. Louis have developed a low-power electronic nose that…
by | Oct 21, 2021 | Alazzawi, Yarub, Aono, Kenji, Chakrabartty, Shantanu, Scheller, Erica
— Technology Description
Engineers in Prof. Shantanu Chakrabartty’s laboratory have developed a convenient, wireless power transfer system that exploits the body’s self-capacitance to charge small, low power, wearable and minimally-invasive devices.
Wearable devices traditionally rely o…
by | Mar 29, 2021 | Chakrabartty, Shantanu, Zhou, Liang
— Technology Description
Engineers in Prof. Shantanu Chakrabartty’s laboratory have developed a self-powered, CMOS-based, nano-scale “smart sensor” and timer system that uses quantum-tunneling for reliable, long-lasting memory or authentication.
This technology is a floating gate …
by | Mar 2, 2021 | Chakrabartty, Shantanu, Gangopadhyay, Ahana
— Technology Description
Engineers in Prof. Shantanu Chakrabartty’s laboratory have developed Growth Transform Neural Network (GTNN), a flexible system for designing scalable neuromorphic processors for use in deep learning systems and support vector machines. GTNN frames the neuromorphic syst…
by | Apr 3, 2020 | Aono, Kenji, Chakrabartty, Shantanu, Kondapalli, Sri Harsha, Pochettino, Owen
— Engineers in Prof. Shantanu Chakrabarty’s laboratory have developed an RFID embedded sensor system for infrastructure-to-vehicle (I2V) communications that uses near-zero standby energy and offers the robust performance of actively powered communications. This technology is designed to provide …
by | Jan 23, 2020 | Altan, Ege, Chakrabartty, Shantanu, Chandak, Rishabh, Mehta, Darshit, Raman, Baranidharan, Saha, Debajit, Singamaneni, Srikanth, Tadepalli, Sirimuvva, Traner, Michael
— Technology Description
Prof. Barani Raman and colleagues have developed a robust, insect-based, non-invasive sensing system to detect explosives or other chemicals. This “artificial nose” technology includes methods to decode neural signals from the insect’s olfactory system and …