Abhilash Singh

Abhilash Singh
University of Leeds · Faculty of Engineering and Physical Science

PhD
Emails: a.singh4@leeds.ac.uk; abhilash.singh@ieee.org| Codes: https://abhilashsingh.net/codes.html

About

50
Publications
28,520
Reads
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895
Citations
Introduction
I mainly use an interdisciplinary approach to solve research snags. My current research interest includes coupling machine learning algorithms with satellite imagery to exploit satellite observations (soil moisture, surface roughness, river discharge, and groundwater level prediction). I am also interested in developing innovative algorithms in the field of nature-inspired computation (e.g., ECS-NL) and machine learning (e.g., PCA-MM-SVR, LT-FS-ID). Codes: https://abhilashsingh.net/codes.html
Additional affiliations
August 2018 - August 2024
Indian Institute of Science Education and Research Bhopal
Position
  • Researcher (DST-INSPIRE Fellow)
Description
  • To evaluate the potential of dual-frequency Synthetic Aperture Radar (SAR) images for soil moisture estimation and its application in flood and drought prediction using machine learning approach.
February 2018 - July 2024
Indian Institute of Science Education and Research Bhopal
Position
  • Project Junior Research Fellow
Description
  • Worked on the NISAR (NASA-ISRO Synthetic Aperture Radar) project.
June 2017 - February 2018
G L Bajaj Institute of Technology and Management, Greater Noida
Position
  • Professor (Assistant)
Education
July 2018 - May 2024
Indian Institute of Science Education and Research Bhopal
Field of study
  • Remote Sensing, Hydrology, and Machine Learning
August 2012 - May 2017
Gautam Buddha University
Field of study
  • Electronics and Communication/Wireless Communication and Networking

Publications

Publications (50)
Article
Full-text available
Wireless Sensor Networks (WSNs) is a promising technology with enormous applications in almost every walk of life. One of the crucial applications of WSNs is intrusion detection and surveillance at the border areas and in the defense establishments. The border areas are stretched in hundreds to thousands of miles, hence, it is not possible to patro...
Article
Full-text available
We propose a new architecture based on a fully connected feed-forward Artificial Neural Network (ANN) model to estimate surface soil moisture from satellite images on a large alluvial fan of the Kosi River in the Himalayan Foreland. We have extracted nine different features from Sentinel-1 (dual-polarised radar backscatter), Sentinel-2 (red and nea...
Article
Drastic advancement in computing technology and the dramatic increase in the usage of explainable machine learning algorithms provide a promising platform for developing robust intrusion detection algorithms. However, the development of these algorithms is constrained by their applicability over specific scenarios of Wireless Sensor Networks (WSNs)...
Article
Predicting groundwater levels is pivotal in curbing overexploitation and ensuring effective water resource governance. However, groundwater level prediction is intricate, driven by dynamic nonlinear factors. To comprehend the dynamic interaction among these drivers, leveraging machine learning models can provide valuable insights. The drastic incre...
Article
Ensuring fast and efficient Intrusion Detection and Prevention (IDP) at international borders is crucial for maintaining security and safeguarding nations. In this study, we propose an innovative approach that harnesses the power of machine learning and Wireless Sensor Networks (WSNs) to achieve faster and more accurate IDP. Our novel Fuzzy fed Tea...
Preprint
Full-text available
We introduced the Scorpion Hunting Strategy (SHS), a novel population-based, nature-inspired optimisation algorithm. This algorithm draws inspiration from the hunting strategy of scorpions, which identify, locate, and capture their prey using the alpha and beta vibration operators. These operators control the SHS algorithm's exploitation and explor...
Article
We present a novel regression algorithm that combines a Fuzzy Inference System (FIS) with a nature-inspired algorithm to predict variations in GroundWater Levels (GWLs). Initially, we considered several input features, including precipitation, temperature, evaporation, relative humidity, soil type, and GWL Lag. A feature importance analysis using r...
Conference Paper
Full-text available
Effective groundwater management requires accurate prediction of GroundWater Level (GWL) fluctuations. This study proposes six novel regression algorithms by integrating a Fuzzy Inference System (FIS) with six Nature-inspired Algorithms (NiA) to enhance GWL prediction accuracy. The proposed algorithms contribute to several Nature-based Solutions (N...
Article
Full-text available
In this study, we employ explainable machine learning (ML) models to predict daily streamflow (Qflow\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$Q_{\rm{flow}}$$\end{...
Article
This study assesses the dynamics of waterlogging using time series optical satellite images from 1987 to 2021 on the alluvial fan of the Kosi River in the Himalayan Foreland. We classified the satellite images to extract waterlogging patches by hybridising Simple Non-Iterative Clustering (SNIC) segmentation and Random Forest (RF) algorithms. This h...
Poster
Full-text available
AGU Annual Meeting 2023 will be in San Francisco, CA 11-15 December 2023. Link: https://agu23.ipostersessions.com/Default.aspx?s=34-39-1E-64-8E-17-FE-7A-F6-36-69-82-F8-CD-01-1E Abstract link: https://agu.confex.com/agu/fm23/meetingapp.cgi/Paper/1346171
Article
Full-text available
In the context of wireless sensor networks (WSNs), the utilization of artificial intelligence (AI)-based solutions and systems is on the ascent. These technologies offer significant potential for optimizing services in today's interconnected world. AI and nature-inspired algorithms have emerged as promising approaches to tackle various challenges i...
Conference Paper
Full-text available
We applied different machine learning algorithms to predict the groundwater water fluctuation in a semi-arid river basin. Precipitation, temperature, evaporation, relative humidity, soil type, and groundwater lag were modeled as input features. Feature importance analysis of the input features indicate that the groundwater lag is the most relevant...
Code
The file contains the MATLAB code for "A machine learning approach to predict the average localization error with applications to wireless sensor networks." Singh, Abhilash, et al. "A machine learning approach to predict the average localization error with applications to wireless sensor networks." IEEE Access 8 (2020): 208253-208263. If you are...
Article
Full-text available
This review provides a detailed synthesis of various in-situ, remote sensing, and machine learning approaches to estimate soil moisture. Bibliometric analysis of the published literature on soil moisture shows that Time-Domain Reflectometry (TDR) is the most widely used in-situ instrument, while remote sensing is the most preferred application, and...
Article
Full-text available
We propose a hybrid machine learning algorithm (i.e., P2CA−PSO−ANN) to model malaria outbreak in three districts (Barmer, Bikaner, and Jodhpur) of Rajasthan in the Western India. We have used different meteorological variables (i.e., relative humidity, temperature, and rainfall) as input features to predict malaria. We have also considered the comb...
Conference Paper
We propose a hybrid machine learning algorithm to model malaria cases in three districts (Barmer, Bikaner, and Jodhpur) of Rajasthan in Western India. We have used different meteorological variables (i.e., relative humidity, temperature, and rainfall) as input features to predict malaria. We have also considered the combined impact of these variabl...
Article
Full-text available
The Betwa River basin, a semi-arid catchment that has been classified as a major hotspot of groundwater depletion in Central India. The rainfall and streamflow intermittency have affected agricultural practices due to the variability of groundwater availability for irrigation. This study evaluates the spatial and temporal variations of groundwater...
Article
Full-text available
We evaluate the penetration depth of synthetic aperture radar (SAR) signals into the ground surface at different frequencies. We applied dielectric models (Dobson empirical, Hallikainen, and Dobson semi-empirical) on the ground surface composed of different soil types (sandy, loamy, and clayey). These models result in different penetration depths f...
Preprint
Full-text available
Wireless Sensor Networks (WSNs) is a promising technology with enormous applications in almost every walk of life. One of the crucial applications of WSNs is intrusion detection and surveillance at the border areas and in the defense establishments. The border areas are stretched in hundreds to thousands of miles, hence, it is not possible to patro...
Article
Full-text available
We use surface soil moisture content as a proxy to assess the effect of drainage congestion due to structural barriers on the alluvial Fan of the Kosi River on the Himalayan Foreland. We used Sentinel-1 satellite images to evaluate the spatial distribution of soil moisture in the proximity of structural barriers (i.e., road network). We applied mod...
Conference Paper
Full-text available
We use Sentinel-1 and Sentinel-2 images to study drainage congestion due to road networks on a large alluvial fan of the Kosi River. We have estimated the soil moisture from Sentinel-1 images by applying an empirical modified Dubois model (MDM), and a data-driven machine learning model based on the fully connected feed-forward artificial neural net...
Article
Full-text available
Wireless communication networks have much data to sense, process, and transmit. It tends to develop a security mechanism to care for these needs for such modern-day systems. An intrusion detection system (IDS) is a solution that has recently gained the researcher's attention with the application of deep learning techniques in IDS. In this paper, we...
Article
Full-text available
Momentous increase in the popularity of explainable machine learning models coupled with the dramatic increase in the use of synthetic data facilitates us to develop a cost-efficient machine learning model for fast intrusion detection and prevention at frontier areas using Wireless Sensor Networks (WSNs). The performance of any explainable machine...
Article
Full-text available
We use Soil and Water Assessment Tool (SWAT) to simulate the combined effects of land use/land cover (LU/LC) and climate change on the hydrological response of the Upper Betwa River Catchment (UBRC), a semi-arid region in Central India. We execute this model for two different time periods, 1982-2000 and 2001-2018, using the LU/LC data of 1990 and 2...
Article
Full-text available
The dramatic increase in the computational facilities integrated with the explainable machine learning algorithms allows us to do fast intrusion detection and prevention at border areas using Wireless Sensor Networks (WSNs). This study proposed a novel approach to accurately predict the number of barriers required for fast intrusion detection and p...
Article
It has been suggested over a century ago that the Saraswati was a large river that flowed in the Sutlej-Yamuna interfluve, a region that is now devoid of any such large river system. This large river was commonly related to the Saraswati River described in the Rig-veda, and was correlated with the discovery of several Harappan sites in the region....
Conference Paper
Full-text available
We propose a novel approach based on linear data fusion and deep learning algorithm to accurately map the malaria cases using meteorological variables (i.e., relative humidity, temperature, and rainfall). We trained a fully connected feed-forward neural network using the individual and combined impact of monthly meteorological variables from 2009 -...
Article
We use the water level data from multiple satellite altimeter missions to estimate discharge at different reaches of varying channel width (130 m to 2 km) of the Ganga River in India. We have established five (Kachla bridge, Kanpur, Shahzadpur, Prayagraj, and Mirzapur) virtual stations in the middle and two (Azmabad and Farakka) in the lower reache...
Article
We apply the Support Vector Regression (SVR) machine learning model to estimate surface roughness on a large alluvial fan of the Kosi River in the Himalayan Foreland from satellite images. To train the model, we used input features such as radar backscatter values in Vertical–Vertical (VV) and Vertical–Horizontal (VH) polarisation, incidence angle...
Article
Sensors in Wireless Sensor Network (WSN) sense, process, and transmit information simultaneously. They mainly find applications in agriculture monitoring, environment monitoring, smart city development and defence. These applications demand high-end performance from the WSN. However, the performance of a WSN is highly vulnerable to various types of...
Article
Full-text available
Node localisation plays a critical role in setting up Wireless Sensor Networks (WSNs). A sensor in WSNs senses, processes and transmits the sensed information simultaneously. Along with the sensed information, it is crucial to have the positional information associated with the information source. A promising method to localise these randomly deplo...
Conference Paper
Full-text available
Soil surface attributes (mainly surface roughness and soil moisture) play a critical role in land-atmosphere interaction and have several applications in agriculture, hydrology, meteorology, and climate change studies. This study explores the potential of different machine learning algorithms (Support Vector Regression (SVR), Gaussian Process Regre...
Article
Full-text available
In this paper, the newly emerging wireless powered communication network is studied. In doing so, the performance of the global controller (GC) is evaluated, which coordinates the wireless energy transmissions between two sensor nodes. Both the sensors have the same harvested energy for uplink (UL) transmission of information through time-division-...
Article
In order to solve the critical issues in Wireless Sensor Networks (WSNs), with concern for limited sensor lifetime, nature-inspired algorithms are emerging as a suitable method. Getting optimal network coverage is one of those challenging issues that need to be examined critically before any network setup. Optimal network coverage not only minimize...
Preprint
Full-text available
In order to solve the critical issues in Wireless Sensor Networks (WSNs), with concern for limited sensor lifetime, nature-inspired algorithms are emerging as a suitable method. Getting optimal network coverage is one of those challenging issues that need to be examined critically before any network setup. Optimal network coverage not only minimize...
Article
Full-text available
Node localisation is one of the significant concerns in Wireless Sensor Networks (WSNs). It is a process in which we estimate the coordinates of the unknown nodes using sensors with known coordinates called anchor nodes. Several bio-inspired algorithms have been proposed for accurate estimation of the unknown nodes. However, use of bio-inspired alg...
Article
Surface soil moisture has a wide application in climate change, agronomy, water resources, and in many other domain of science and engineering. Measurement of soil moisture at high spatial and temporal resolution at regional and global scale is needed for the prediction of flood, drought, planning and management of agricultural productivity to ensu...
Article
Full-text available
A relay‐based wireless communication model can relay information along with the power bidirectionally using the amplify‐and‐forward scheme. This paper studies such model extensively. Three information and power relaying protocols, that is, time‐based switching relaying, power‐based splitting relaying, and hybrid time switching‐based and power split...
Conference Paper
Full-text available
We evaluate the potential of Sentinel-1A & 1B satellite images to estimate the volumetric soil moisture content over an alluvial fan of the Kosi River in the North Bihar, India. Over this region, only dual polarised images (VH and VV) are available. However, the existing backscattering models (i.e., Dubois, Oh and IEM models) uses quad polarised (V...
Preprint
Full-text available
Three techniques, i.e., PSR, TSR and HTPSR relaying, are used at the relay. All three methods are applied to study the throughput performance of the system. It has been observed that out of these three, HTPSR shows better result followed by PSR and TSR. It has been observed that relay placement has a significant effect on the throughput of the syst...
Data
This file contains the complete Matlab implementation of the following research papers. You are welcome to explore and come up with a new add-on. Please find the publication: https://rdcu.be/532w
Article
Full-text available
Wireless sensor networks (WSNs) found application in many diverse fields, starting from environment monitoring to machine health monitoring. The sensor in WSNs senses information. Sensing and transmitting this information consume most of the energy. Also, this information requires proper processing before final usages. This paper deals with minimis...
Article
Full-text available
Previous researches have provided mathematical models of vertical cavity surface emitting LASER’s (VCSEL’s) that evaluated the effect of spontaneous noise on the Laser’s performance but completely neglected the effect of polarization noise. Also the results presented were in terms of RIN variation with respect to frequency. In this paper,a model is...
Presentation
Full-text available
Here we study the effect of soil texture, incidence angle and soil moisture content on the penetration depth of microwave pulses into the ground. In doing so, we have compared the penetration depth of SAR signals in soil using the Dobson empirical, Dobson semi-empirical and Hallikainen empirical model over samples collected at three different locat...
Conference Paper
Full-text available
Microwave remote sensing has emerged as an efficient tool for the estimation of soil moisture due to its higher sen-sitivity to the dielectric properties of soil. Synthetic Aperture Radar (SAR) sensors have been used to estimate soil moisture at large scale. The penetration depth of microwave signals into the ground soil vary significantly with the...
Article
Full-text available
We study the functional relationship between the dielectric constant of soil-water mixture and penetration depth of microwave signals into the ground at different frequency (L&S) band and incidence angles. Penetration depth of microwave signals into the ground depends on the incidence angle and wavelength of radar pulses and also on the soil proper...
Conference Paper
In this paper, a relay-based wireless communication model is studied. Such a model is capable of relaying information and power in either direction. At the relay amplify-then-forward scheme is used. Two relaying protocols viz. time switching-based relaying and power splitting-based relaying is used to facilitate this two-way information and power t...
Conference Paper
Full-text available
This paper deals with the idea of wireless energy harvesting and energy transfer used to establish communication between devices in a wireless network. Wireless energy harvesting and transfer has proved to be very advantageous in areas like WSN in which this technique not only improve the nodes lifetime but also makes the communication eco-friendly...

Questions

Questions (3)
Question
Can we estimate the electrical conductivity of water patches using microwave SAR data?
Question
I am interested in measurement of the surface roughness through stereo photo images. Any reading suggestion/direction is highly appreciable.
Thanks in advance;
Abhilash Singh
Question
I am trying to implement several models for soil moisture retrieval from satellite products. I need some ground measured data of soil moisture and surface roughness for the same. Please suggest to me some links from where I can get these data.
Thanks in advance,
Abhilash Singh

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