Diptashree Das

ORCID: 0009-0008-3677-2420
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About
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Research Areas
  • Energy Harvesting in Wireless Networks
  • Wireless Power Transfer Systems
  • Distributed systems and fault tolerance
  • Innovative Energy Harvesting Technologies
  • Advanced Memory and Neural Computing
  • IoT and Edge/Fog Computing
  • Neuroscience and Neural Engineering
  • Modular Robots and Swarm Intelligence
  • Advanced Sensor and Energy Harvesting Materials
  • Advanced MEMS and NEMS Technologies
  • Advancements in PLL and VCO Technologies
  • Molecular Communication and Nanonetworks
  • Analog and Mixed-Signal Circuit Design
  • Acoustic Wave Resonator Technologies
  • Radio Frequency Integrated Circuit Design

Northeastern University
2020-2024

Boston University
2021

Abstract Ultra-compact wireless implantable medical devices are in great demand for healthcare applications, particular neural recording and stimulation. Current technologies based on miniaturized micro-coils suffer from low power transfer efficiency (PTE) not always compliant with the specific absorption rate imposed by Federal Communications Commission. Moreover, current reliant differential of voltage or across space require direct contact between electrode tissue. Here, we show an...

10.1038/s41467-021-23256-z article EN cc-by Nature Communications 2021-05-25

A magnetoelectric antenna (ME) can exhibit the dual capabilities of wireless energy harvesting and sensing at different frequencies. In this article, a behavioral circuit model for hybrid ME antennas is described to emulate radio frequency (RF) operations during simulations. The work interfaced with CMOS harvester chip towards goal developing communication link fully integrated implantable devices. One role system receive pulse-modulated power from nearby transmitter, another sense transmit...

10.1109/ojcas.2023.3259233 article EN cc-by IEEE Open Journal of Circuits and Systems 2023-01-01

This paper presents a fully integrated RF energy harvester (EH) with 30% end-to-end power harvesting efficiency (PHE) and supports high output voltage operation, up to 9.3V, 1.07 GHz input under the electrode model for neural applications. The EH is composed of novel 10-stage self-biased gate (SBG) rectifier an on-chip matching network. SBG topology elevates gate-bias transistors in non-linear manner enable higher conductivity. design also achieves >20% PHE range 12-dB. was fabricated 65 nm...

10.1109/jssc.2022.3180633 article EN IEEE Journal of Solid-State Circuits 2022-06-17

This paper introduces a behavioral circuit model for magnetoelectric (ME) antenna, which is novel miniaturized device with applications in low-power sensing. To facilitate the design of integrated circuits interfaced to its accounts amplitude modulation behavior observed during measurements nanoelectromechanical system (NEMS) when subjected an AC magnetic field and DC biasing field. We propose dynamic transient simulations, show that characteristics match experimentally obtained ME antenna....

10.1109/mwscas48704.2020.9184568 article EN 2020-08-01

This article describes the development of a radio frequency (RF) platform for electromagnetically modulated signals that makes use software-defined (SDR) to receive information from novel magnetoelectric (ME) antenna capable sensing low-frequency magnetic fields with ultra-low magnitudes. The is employed as part research and utilize miniaturized ME antennas integrated circuits neural recording wireless implantable devices. To prototype reception sensor, versatile Universal Software Radio...

10.3390/electronics9122123 article EN Electronics 2020-12-11

Abstract Ultra-compact wireless implantable medical devices (IMDs) are in great demand for healthcare applications, particular neural recording and stimulation. Current technologies based on miniaturized micro-coils suffer from low power transfer efficiency (PTE) not always compliant with the specific absorption rate imposed by Federal Communications Commission, particularly deep brain implantation where field attenuation tissue loss significant. Moreover, current reliant recordings of...

10.1101/2020.06.22.165894 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2020-06-23

The deployment of a growing number devices in Internet Things (IoT) networks implies that uninterrupted and seamless adaptation wireless communication parameters (e.g., carrier frequency, bandwidth modulation) will become essential. To utilize capable switching several requires real-time self-optimizations at the radio frequency integrated circuit (RFIC) level based on system performance metrics during processing complex modulated signals. This article introduces novel design verification...

10.48550/arxiv.2407.01808 preprint EN arXiv (Cornell University) 2024-07-01

A magnetoelectric antenna (ME) is a miniaturized device that exhibits the dual capability of energy harvesting and sensing in different frequency bands. In this paper, behavioral circuit model for ME presented to capture radio (RF) operation during simulations. The design work under development wireless communication with implantable devices, where one role receive pulse-modulated power from nearby transmitter. application, proposed can be utilized optimizations circuits. has been assessed...

10.1109/mwscas47672.2021.9531912 article EN 2021-08-09
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