Sneha VermaNewcastle University | NCL · School of Natural and Environmental Sciences Bedson Building, Newcastle University Newcastle upon Tyne NE1 7RU
Sneha Verma
Doctoral Research Scholar at City University of London
Deep neural networks, uncertainty predictions and error analysis using Ensemble, Bootstrapping, and Monte Carlo Dropout.
About
20
Publications
7,103
Reads
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157
Citations
Introduction
Currently, Doctoral Fellow at City, University of London, work inspired from NanoPhotonics using sensing Applications. Experienced Researcher with a demonstrated history of working in the research industries. Skilled in C++, NanoPhotonics, Matlab, Comsol, Physics, Science and Engineering. Strong research professional with a M.tech focused in Optical Fibre Sensors from CSIR - Central Glass and Ceramic Research Institute Kolkata. More than one year rigorous Industrial Experience on the Robotics and Automation using Electronic Devices and Motion/Gesture Recognition using Arduino and Visual studio respectively in CSIR- Central Mechanical Engineering Research Institute, Durgapur, West Bengal.
Additional affiliations
August 2021 - December 2021
Position
- Postdoctoral research assistant
Description
- • Pandas, NumPy, SciPy and Matplotlib has been used for data visualization, predictive analysis, and statistical modelling and to train and test the designed neural network. • The designed deep learning neural network has been used to understand the behavior of the several bio sensors using nanomaterials to speed up the data processing and making results. • This role also involves developing the inverse machine learning algorithm to predict the spectral behaviour.
September 2022 - January 2023
Position
- Post-doctoral Researcher
Description
- Key subject areas: X-ray spectroscopy, deep neural networks, uncertainty predictions, error analysis, transition metals, Ensemble, Bootstrapping, CNN, GANs Monte Carlo Dropout, t-distributed stochastic neighbor embedding, Principal component analysis and Autoencoders. ● Designing the XANESNET deep neural network (DNN) to predict the line shape of first row transition metal with the help of the local coordination geometry.
November 2016 - November 2017
Council Of Scientific And Industrial Research–Central Glass & Ceramic Research Institute (CSIR–CGRI)
Position
- Researcher
Description
- ● Fabrication of Hi-Bi Photonic Crystal Fiber Strain Sensors and optimized numerically using MATLAB. ● Development of Side Polish Fiber and tapered fiber Chemical Sensors analyze my LabView program. ● Designed of Different Photonic Crystal Fiber in COMSOL Multiphysics. ● Development of Standard Optical Fiber sensors with OFFSET-splicing.● Implementation of Vibration Sensor using Polarization Maintaining Fiber using LabView.
Education
March 2019 - March 2020
Publications
Publications (20)
The Artificial Neural Network (ANN) has become an attractive approach in Machine Learning (ML) to analyze a complex data-driven problem. Due to its time efficient findings, it has became popular in many scientific fields such as physics, optics, and material science. This paper presents a new approach to design and optimize the electromagnetic plas...
Nanophotonics exploits the best of photonics and nanotechnology which has transformed optics in recent years by allowing subwavelength structures to enhance light-matter interactions. Despite these breakthroughs, design, fabrication, and characterization of such exotic devices have remained through iterative processes which are often computationall...
We investigate the performance of uncertainty quantification methods, namely deep ensembles and bootstrap resampling, for deep neural network (DNN) predictions of transition metal K-edge X-ray absorption near-edge structure (XANES) spectra. Bootstrap resampling combined with our multi-layer perceptron (MLP) model provides an accurate assessment of...
Computational spectroscopy has emerged as a critical tool for researchers looking to achieve both qualitative and quantitative interpretations of experimental spectra. Over the past decade, increased interactions between experiment and theory have created a positive feedback loop that has stimulated developments in both domains. In particular, the...
The Coronavirus Disease (COVID-19) is an infectious disease caused by a newly discovered coronavirus. It is associated with infrequent epidemic derive by SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2) which started in Dec 2019 from Wuhan city, China and escalated throughout the world. The transmission of this SARS-CoV-2 has been repor...
Surface plasmons, continuous and cumulative electron vibrations confined to metal-dielectric interfaces, play a pivotal role in aggregating optical fields and energies on nanostructures. This confinement exploits the intrinsic subwavelength nature of their spatial profile, significantly enhancing light–matter interactions. Metals, semiconductors, a...
Optical sensing technologies for hydrogen monitoring are of increasing importance in connection with the development and expanded use of hydrogen and for transition to the hydrogen economy. The past decades have witnessed a rapid development of optical sensors for hydrogen monitoring due to their excellent features of being immune to electromagneti...
Photonic researchers are increasingly exploiting nanotechnology due to the development of numerous prevalent nanosized manufacturing technologies, which has enabled novel shape-optimized nanostructures to be manufactured and investigated. Hybrid nanostructures that integrate dielectric resonators with plasmonic nanostructures are also offering new...
Access:
https://www.mdpi.com/1983712
Nitrogen oxides (NOx) gases, such as nitrous oxide (N2O), nitrogen oxide (NO), and nitrogen dioxide (NO2), are considered the most hazardous exhausts exhaled by industries and stationary and non-stationary application engines. Investigation of catalytic decomposition of NO has been carried out on copper ion exc...
Photonic researchers have increasingly exploiting nanotechnology. Due to the advent of numerous prevalent nanosized manufacturing methods that enable adequate shaped nanostructures to be manufactured and investigated as a method of exploiting nano-structured. Owing of the variety of optical modes, hybrid nanostructures that integrate dielectric res...
![Figure 5. Classification of nanomaterials [68].](profile/Sneha-Verma-5/publication/357854893/figure/fig5/AS:1113531311243271@1642497961974/Classification-of-nanomaterials-68_Q320.jpg)
The increasing use of nanomaterials and scalable, high-yield nanofabrication process are revolutionizing the development of novel biosensors. Over the past decades, researches on nanotechnology-mediated biosensing have been on the forefront due to their potential application in healthcare, pharmaceutical, cell diagnosis, drug delivery, and water an...
This paper reports a design method of
optoplasmonics sensor that considers a pair of elliptical gold
nano antenna mounted on a quartz substrate. A 2D array of gold
nano antenna can be used for a variety of biomedical
applications due to its key electronic and optical properties
which are shape and size dependent. An elliptical shaped
coupled gold n...
Gold nanoantennas have been used in a variety of biomedical applications due to their attractive electronic and optical properties, which are shape- and size-dependent. Here, a periodic paired gold nanostructure exploiting surface plasmon resonance is proposed, which shows promising results for Refractive Index (RI) detection due to its high electr...
A fiber-optic strain sensor is demonstrated by using a short length of High Birefringence photonic crystal fiber (Hi-Bi PCF) as the sensing element inserted in a Sagnac loop interferometer. The achieved sensitivity of the strain sensor is 1.37 pm/μɛ at 22.8 cm optimized length of PCF. The proposed strain sensor is inherently insensitive to temperat...
The Sixth Sense ‘An Extrasensory Perception’ has turned into the new called ‘The Sixth Sense Technology’ which has emerged in few years. Sixth Sense Technology is a mini-projector coupled with a camera and a cell phone—which acts as the computer and connected to the Cloud, all the information stored on the web. In this time we have seen lots of tec...
The Sixth Sense ‘An Extrasensory Perception’ has turned into the new called ‘The Sixth Sense Technology’ which has emerged in few years. Sixth Sense Technology is a mini-projector coupled with a camera and a cell phone—which acts as the computer and connected to the Cloud, all the information stored on the web. In this time we have seen lots of tec...
This Frequency Hopping Spread
Spectrum transceiver is designed to provide the
secure communication domain. FHSS is a radio
transmission process where user information is sent
on a radio channel that regularly changes frequency
according to a predetermined code with the help of
different modulation techniques. This system is very
popular because it...
Questions
Questions (3)
Dear Colleagues,
I want to calculate the Mie Scattering of Gold Nano Structure through MATLAB for that I need to put the Values of the Dielectric Constant of Gold and solve it for the equations. Although While reading on internet I read about the MNPBEM toolbox for solving metallic structures. I am quite confuse how to write the code. Shall I do it through the toolbox or It would be good to write a code normally, if yes than how I will import the value of the dielectric constant?
It would be your great help if you guys will help me as I got lost in the theory/Method.
Regards,
Sneha
Hello all,
I'm trying to calculate the extinction cross-section of Ag sphere Dimer (two NPs side by side of R=10nm), with a gap of 4nm, in Comsol Multiphysics. Now, I know how to calculate the extinction cross-section of a single spherical Nanoparticle in Comsol and, also have analytically sloved it. For a single nanoparticle the Power-flow outwards of the Nanoparticle surface is integrated. e.g. nrelPoav = nxemw.relPoavx + nyemw.relPoavy + nz*emw.relPoavz; sigma_sc = (intop_surf(nrelPoav)/S_in)/sigma_geom; sigma_abs = intop_vol(emw.Qh)/sigma_geom;
where, intop_surf integrates over the surface of a single Nanoparticle and sigma_geom is the geometric cross-section. and S_in = E0^2/(2*Z0_const)
Now, I am confused, when calculating the Extinction Cross section of two NanoParticles should I integrate over both the NP surface in a similar manner but not able to calculate the accurate Extinction Cross section, or Kindly let me know which approach should be use to calculate the same???
Thankyou so much in advance.
I have simulated Gold Nano Sphere (Radius: 40 nm) with proper boundary condition (PEC & PMC) and SBCs are on the top and bottom of the Domain, and calculating the Transmission and Reflection Spectra. At the same time I want to confirm the results with Mie Scattering theory.
Please help me.
Thank you very much in Advance
