Electronics Summaries
Chakrabartty, Shantanu ; Gangopadhyay, Ahana
T-019112
— 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…
Low-Power, Fast Sensors for Infrastructure‐to‐Vehicle Communications in Autonomous DrivingAono, Kenji ; Chakrabartty, Shantanu ; Kondapalli, Sri Harsha ; Pochettino, Owen
T-019014
— 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 …
Bio-robotic “artificial nose” system for detecting explosives and other chemicalsAltan, Ege ; Chakrabartty, Shantanu ; Chandak, Rishabh ; Mehta, Darshit ; Raman, Baranidharan ; Saha, Debajit ; Singamaneni, Srikanth ; Tadepalli, Sirimuvva ; Traner, Michael
T-019136
— 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 …
Learnable, scalable, energy efficient analog-to-digital interfaces and their automated designChakrabarti, Ayan ; Zhang, Xuan "Silvia"
T-017967
— Technology Description Engineers in Prof. Xuan “Silvia” Zhang’s laboratory have developed a unifying design and optimization paradigm to automate the design of analog-to-digital interfaces and create scalable, general purpose analog and mixed signal (AMS) blocks that employ machi…
Miniature, high resolution multi-spectral imaging for label-free image guided surgery and other applicationsGarcia Hernandez, Nimrod Missael ; Gruev, Viktor
T-016872
— Technology Description Engineers in Prof. Viktor Gruev’s laboratory have developed a compact 27-band hyperspectral imaging system for high resolution, label-free, real-time imaging. This system can distinguish spectral signatures in image guided surgery (IGS) and other applications. The tech…
High-performance, nanoengineered two-phase cooling system for high powered electronicsAgonafer, Damena ; Ma, Binjian ; Shan, Li
T-018032
— Technology Description Engineers in Prof. Damena Agonafer’s laboratory have developed a highly-efficient, compact, modular evaporative cooling platform with materials and nanostructured geometries designed to greatly enhance thermal management of 3D integrated circuits, power converters and …
Controlling charge doping in 2D materialsBalgley, Jesse ; Henriksen, Erik
T-019602
— Technology Description Researchers at Washington University in St. Louis have developed a method to control charge doping in 2D materials like graphene. This method uses α-RuCl3 to create pn junctions at a smaller scale than silicon transistors. While α-RuCl3 efficiently removes el…
Self-capacitance Power Transfer for Efficient Wireless Charging of Small WearablesAlazzawi, Yarub ; Aono, Kenji ; Chakrabartty, Shantanu ; Scheller, Erica
T-018759
— 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…
Trackable pedicle screwsBrunner, Peter ; Genin, Guy ; Hacker, Carl ; Leuthardt, Eric ; Lowe, Halle ; Molina, Camilo ; Moran, Daniel ; Repka, Alicia ; Sandler, Jacob
T-019941
— Technology Description Researchers at Washington University in St. Louis have developed a system that uses lenticular arrays to better track pedicle screw placement during spinal fusion surgery. By enabling an accurate assessment of the screws’ locations, this system allows for computer-auto…
