Darshit Mehta
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Explore the profile of Darshit Mehta including associated specialties, affiliations and a list of published articles.
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6
Citations
11
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Recent Articles
1.
Mehta D, Rahman M, Aono K, Chakrabartty S
Nat Commun
. 2022 Mar;
13(1):1670.
PMID: 35351886
In this paper we present an adaptive synaptic array that can be used to improve the energy-efficiency of training machine learning (ML) systems. The synaptic array comprises of an ensemble...
2.
Gupta P, Derami H, Mehta D, Yilmaz H, Chakrabartty S, Raman B, et al.
ACS Appl Mater Interfaces
. 2022 Jan;
14(2):3207-3217.
PMID: 34995447
Chemiresistors based on metal-insulator-metal structures are attractive transducers for rapid tracing of a wide repertoire of (bio)chemical species in the vapor phase. However, current fabrication techniques suffer greatly from sensor-to-sensor...
3.
Barri K, Zhang Q, Mehta D, Chakrabartty S, Debski R, Alavi A
IEEE Trans Biomed Eng
. 2021 Aug;
69(2):710-717.
PMID: 34375277
This study investigates the feasibility of using a new self-powered sensing and data logging system for postoperative monitoring of spinal fusion progress. The proposed diagnostic technology directly couples a piezoelectric...
4.
Mehta D, Raman B, Chakrabartty S
IEEE Int Symp Circuits Syst Proc
. 2020 Dec;
2019.
PMID: 33262551
Dynamical systems that evolve unidirectionally with respect to time provide a natural mechanism for implementing a time-domain, near-zero-threshold energy rectifier. In this paper we implement such a dynamical system using...
5.
Mehta D, Aono K, Chakrabartty S
Nat Commun
. 2020 Oct;
11(1):5446.
PMID: 33116118
Continuous, battery-free operation of sensor nodes requires ultra-low-power sensing and data-logging techniques. Here we report that by directly coupling a sensor/transducer signal into globally asymptotically stable monotonic dynamical systems based...
6.
Gangopadhyay A, Mehta D, Chakrabartty S
Front Neurosci
. 2020 Jun;
14:425.
PMID: 32477051
In neuromorphic engineering, neural populations are generally modeled in a bottom-up manner, where individual neuron models are connected through synapses to form large-scale spiking networks. Alternatively, a top-down approach treats...