A5072493084- Mechanical and Optical Resonators
- Photonic and Optical Devices
- Non-Destructive Testing Techniques
- Ultrasonics and Acoustic Wave Propagation
- Structural Health Monitoring Techniques
- Concrete Corrosion and Durability
- Advanced MEMS and NEMS Technologies
- Biosensors and Analytical Detection
- Acoustic Wave Resonator Technologies
- Advanced Fiber Laser Technologies
- Advanced biosensing and bioanalysis techniques
- Analytical Chemistry and Sensors
- Advanced Sensor and Energy Harvesting Materials
- Electrochemical sensors and biosensors
- Microfluidic and Capillary Electrophoresis Applications
- Infrastructure Maintenance and Monitoring
- Geophysical Methods and Applications
- Machine Fault Diagnosis Techniques
- SARS-CoV-2 detection and testing
- Advanced Nanomaterials in Catalysis
- Ferroelectric and Piezoelectric Materials
- Astrophysics and Cosmic Phenomena
- Advanced Chemical Sensor Technologies
- Force Microscopy Techniques and Applications
- Chaos control and synchronization
Indian Institute of Technology Bombay
2017-2025
Tennessee Cancer Specialists
2022
Cornell University
2010-2016
Analog Devices (United States)
2016
Fueled by the rapid development of machine learning (ML) and greater access to cloud computing graphics processing units, various deep based models have been proposed for improving performance ultrasonic guided wave structural health monitoring (GW-SHM) systems, especially counter complexity heterogeneity in data due varying environmental factors (e.g., temperature) types damages. Such typically comprise millions trainable parameters, therefore add cost deployment requirements connectivity...
Most reported research for monitoring health of pipelines using ultrasonic guided waves (GW) typically utilize bulky piezoelectric transducer rings and laboratory-grade non-destructive testing (NDT) equipment. Consequently, the translation these approaches from laboratory settings to field-deployable systems real-time structural (SHM) becomes challenging. In this work, we present an innovative algorithm damage identification localization in pipes, implemented on a compact FPGA-based smart...
Conventional damage localization algorithms used in ultrasonic guided wave-based structural health monitoring (GW-SHM) rely on physics-defined features of GW signals. In addition to requiring domain knowledge the interaction various modes with types damages, they also suffer from errors due variations environmental and operating conditions (EOCs) practical use cases. While several machine learning tools have been reported for EOC compensation, need be custom-designed each combination...
This paper presents a low power radio design tailored to the short distance, data rate application of body area networks. In our analysis we consider comparison between traditional continuous wave radios and ultra wide band impulse for this space. We analyze energy/bit requirement each architectures discuss how duty-cycled is better suited applications due practical considerations. As proof-of-concept present measured results duty-cycled, noncoherent transceiver. The designed transceiver was...
Cavity opto-mechanics enabled radiation pressure (RP) driven oscillators shown in the past offer an all optical Radio Frequency (RF) source without need for external electrical feedback. However these require tapered fiber or prism coupling and non-standard fabrication processes. In this work, we present a CMOS compatible process to design high quality factor opto-mechanical resonators silicon nitride. The ring designed demonstrate low phase noise RP oscillations. Using integrated grating...
Abstract The importance of monitoring environmental samples has gained a lot prominence since the onset COVID-19 pandemic, and several surveillance efforts are underway using gold standard, albeit expensive qPCR-based techniques. Electrochemical DNA biosensors could offer potential cost-effective solution suitable for water in lower middle income countries. In this work, we demonstrate electrochemical detection amplicons as long $${503}\,\hbox {bp}$$ <mml:math...
Abstract Automated fault diagnosis algorithms based on vibration sensor recordings play an important role in determining the state of health machines. Data-driven approaches demand a large amount labelled data to build reliable models. The performance such lab-trained models degrades when deployed practical use cases presence distinct distribution target domain datasets. In this work, we present novel deep transfer learning strategy that fine-tunes trainable parameters lower (convolutional)...
Abstract Sequence alignment is an essential component of bioinformatics, for identifying regions similarity that may indicate functional, structural, or evolutionary relationships between the sequences. Genome-based diagnostics relying on DNA sequencing have benefited hugely from boom in computing power recent decades, particularly due to cloud-computing and rise graphics processing units (GPUs) other advanced platforms running algorithms. Translating success such breakthroughs affordable...
In this brief, we present a dual-band ultralow-power ultrawideband (UWB) impulse radio (UWB-IR) transceiver in 90-nm CMOS process for low-data-rate UWB on-off keying (OOK) communications. The topology enables separation of timing and data impulses simplified synchronization duty cycling. receiver can dynamically switch between two 500-MHz bands centered at 3.5 4.5 GHz with an interband isolation 30 dB. With fast turn-on time ~1-2 ns, the total power requirement duty-cycled (Rx) block is...
Estimating the state of health machines using vibration signals analyzed with complex deep-learning models poses memory and processing speed constraints for edge implementation, whereas cloud-based computing high latency, cost data transmission storage, privacy threats. Moreover, in most practical settings, a large amount may be available or easily obtainable healthy/normal operating condition, not anomalous conditions. Thus, there exists need to develop lightweight unsupervised learning...
Nucleic acid extraction from soil samples holds paramount importance in various scientific domains, particularly environmental microbiology, molecular ecology, and agricultural sciences. This process serves as a foundational step for numerous downstream applications, enabling deeper understanding of microbial communities their functions. Paper-based rapid nucleic is the most cost-effective easily accessible method available extraction. In contrast to previous attempts at developing...
Corrosion of steel rebars in reinforced concrete impacts structural integrity the infrastructure. While several Non-Destructive Testing and Evaluation (NDT&E) techniques exist for corrosion monitoring structures, there is a need cost-effective solution early detection sub-surface civil Here we present low-cost sensing system based on pulsed eddy current using anisotropic magnetoresistive (AMR) sensor to detect reinforcing bars. A novel probe with large figure merit ( <inline-formula...
Abstract Guided wave (GW) based structural health monitoring (SHM) techniques being developed by researchers frequently use amplitude and group velocity variations between healthy damage-affected GW modes to detect localise damage. Nonetheless, external variables such as temperature moisture influence these features, which were not considered in previous studies, particularly the presence of damage honeycomb composite sandwich structures (HCSSs). Therefore, a coordinated numerical...
Measuring the extent of corrosion sacrificial anodes used in cathodic protection systems would enable real-time monitoring efficacy and remaining useful life system. This article presents a comparison sensing capabilities pulsed eddy current (PEC) electromechanical impedance (EMI) based techniques for measuring zinc anodes. Experiments were conducted with lead zirconate titanate (PZT) transducer attached to anode as well PEC probe placed vicinity anode. Accelerated tests performed on was...
Corrosion of metal structures is often prevented using cathodic protection systems, that employ sacrificial anodes corrode more preferentially relative to the be protected. In-situ monitoring these during early stages their useful life could offer several insights into deterioration material surrounding infrastructure as well serve warning indicator for preventive maintenance critical infrastructure. In this article, we present an Electro-Mechanical Impedance (EMI) measurement-based...
In recent years, lab-on-chip systems based on printed circuit board (PCB) substrates are gaining attraction primarily due to their low cost of manufacturing. Adapting inexpensive PCBs for development immunosensors usually requires additional processing steps such as gold electroplating and electropolymerisation, that add the manufacturing costs. this work, we demonstrate methods leverage electroless nickel immersion (ENIG) finish electrodes developing electrochemical immunosensors. We...
Presence of excess urea in milk above the maximum permissible limit can result serious health issues, including kidney failure. While several tests exist for measuring concentration milk, such typically require significant preprocessing samples a laboratory setting and long turnaround time increased cost testing due to use expensive equipment operated by trained analysts. In this work, we present point-of-use sensor quantification samples, with minimal sample seamless readout. The assay...