Currently, I am a research scholar (writing my Ph.D. thesis). 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 disease prediction). I am also interested in developing innovative algorithms in the field of evolutionary computation (e.g., ECS-NL) and machine learning (e.g., PCA-MM-SVR, LT-FS-ID, AutoML-ID).”
■ August 2019 - July 2022 : Teaching Assistant, Department of EES, Indian Institute of Science Education and Research, Bhopal.
■ June 2015 - July 2015 : Summer Research Intern , at DRDO, Dehra Dun Area, India.
Project Title: Verilog Simulation of Elementary SRAM and its Controller on
Model Sim (Student Edition 10.4a). Project Supervisor: Mr. Asheesh Thapliyal, Scientist D.
■ Professional Affiliations
1. ISPRS Individual Membership (Member Id: 61733, Member since 2018).
2. IEEE Membership (Member Id: 95635042, Member since 2019). (IEEE Geoscience and Remote Sensing, IEEE Communications, IEEE Sensors Council, IEEE Signal Processing & IEEE Young Professionals).
3. Indian Radio Science Society (Member Id: S2019022, Member since 2019).
4. European Geosciences Union (Member Id: 474981, Member since 2020).
5. American Geophysical Union (Member Id: 1367956, Member since 2021).
Remote Sensing of Environment (Elsevier), Artificial Intelligence Review (Springer), Complex & Intelligent Systems (Springer), Journal of Ambient Intelligence and Humanized Computing (Springer), Journal of Intelligent and Fuzzy Systems (IOS Press), IEEE Access (IEEE), The Journal of Open Source Software, Advances in Space Research (Elsevier), Wireless Personal Communications (Springer), Journal of The Institution of Engineers (India): Series B (Springer), Expert Systems With Applications (Elsevier), Big Data Mining and Analytics, Engineering Applications of Artificial Intelligence (Elsevier), International Journal of Digital Earth (Taylor & Francis), Cybernetics and Systems (Taylor & Francis), Web Intelligence (IOS Press), Computer Methods in Biomechanics and Biomedical Engineering (Taylor & Francis), The Journal of Supercomputing (Springer), Connection Science (Taylor & Francis), Intelligent Systems with Applications (Elsevier), Remote Sensing (MDPI), Computer Networks (Elsevier).
■ August 2018 - Present : Ph.D., Indian Institute of Science Education and Research Bhopal, India..
Project title: Machine learning to estimate soil attributes from space. Thesis Supervisor: Dr. Kumar Gaurav, Assistant Professor
■ August 2012 - May 2017 : Integrated Dual degree (B.Tech. + M.Tech.), Gautam Buddha University, Greater Noida, India
B.Tech. in Electronic and Communication Engineering and M.Tech in Wireless Communication and Networks.
M.Tech. Thesis title: Intelligent Algorithm Approach Towards Optimal Coverage in Wireless Sensor Networks.
M.Tech. Thesis Supervisor: Dr. Sandeep Sharma.
1 / 3
2 / 3
3 / 3
 Singh, A., Nagar, J.,Amutha, J., and Sharma, S. (2023). ``P2CA-GAM-ID: Coupling of Probabilistic Principal Components Analysis with Generalised Additive Model to predict the k−barriers for Intrusion Detection," Engineering Applications of Artificial Intelligence. doi: 10.1016/j.engappai.2023.107137 [PDF]
 Nagar, J., Chaturvedi S.K., Soh S., and Singh, A. (2023). ``A Machine Learning Approach to Predict the k-Coverage Probability of Wireless Multihop Networks Considering Boundary and Shadowing Effects," Expert Systems with Applications. doi: 10.1016/j.eswa.2023.120160 [PDF]
 Singh, A., and Gaurav, K. (2023). ``Deep learning and data fusion to estimate surface soil moisture from multi-sensor satellite images," Scientific Reports. doi: 10.1038/s41598-023-28939-9 [PDF]
 Singh, A., Gaurav, K., Sonkar G.K., and Lee, C.-C. (2023). ``Strategies to measure soil moisture
using traditional methods, automated sensors, remote sensing, and machine learning techniques:
review, bibliometric analysis, applications, research findings, and future directions," IEEE Access. doi: 10.1109/ACCESS.2023.324363 [PDF]
 Singh, A., Mehra, M., Kumar A., Naik, M.N., Priya, D., and Gaurav, K. (2023). ``Leveraging machine learning and data fusion for accurate mapping of malaria cases using meteorological variables over western India," Intelligent Systems with Applications. doi: 10.1016/j.iswa.2022.200164 [PDF]
 Singh, A., Amutha, J., Nagar, J., and Sharma, S. (2023). ``A deep learning approach to predict the number of k-barriers for intrusion detection over a circular region using wireless sensor networks," Expert Systems with Applications. doi: 10.1016/j.eswa.2022.118588 [PDF]
 Singh, A., Naik, M.N., Kumar S., and Gaurav, K. (2022). ``Comparison of different dielectric models to estimate penetration depth of L− and S−band SAR signals into the ground surface,” Geographies. doi: 10.3390/geographies2040045 [PDF][Code] (Invited contribution)
 Naik, M.N., Kumar A., Beg, Z., Singh, A., Swarnkar, S., and Gaurav, K. (2022). ``Groundwater variability in a semi-arid basin, Central India,” Hydrology. doi: 10.3390/hydrology9120222 [PDF]
 Singh, A., Naik, M.N., and Gaurav, K. (2022). ``Drainage congestion due to road network on the Kosi alluvial Fan, Himalayan Foreland,” International Journal of Applied Earth Observation and Geoinformation. doi: 10.1016/j.jag.2022.102892 [PDF]
 Singh, A., Amutha, J., Nagar, J., Sharma, S., and Lee, C.-C. (2022). ``AutoML-ID: Automated machine learning model for intrusion detection using wireless sensor network," Scientific Reports. doi: 10.1038/s41598-022-13061-z [PDF]
 Sood T., Prakash S., Sharma S., Singh A., and Choubey H. (2022). ``Intrusion Detection System in Wireless Sensor Network using Conditional Generative Adversarial Network,'' Wireless Personal Communications. doi: 10.1007/s11277-022-09776-x [PDF]
 Kumar, A., Singh, A., & Gaurav, K. (2022) Evaluating the impact of landuse and climate change on the upper Betwa River catchment in Central India under present, past, and future climate scenarios. Environment, Development and Sustainability. doi: 10.1007/s10668-022-02260-3 [PDF]
 Singh, A., Amutha, J., Nagar, J., Sharma, S., & Lee, C.C. (2022). LT-FS-ID: Log-Transformed Feature Learning and Feature-Scaling-Based Machine Learning Algorithms to Predict the k-Barriers for Intrusion Detection Using Wireless Sensor Network. Sensors. doi: 10.3390/s22031070 [PDF]
 Beg, Z., Gaurav, K., Singh, A., & Tandon, S.K., (2022). Assessing the palaeohydrology of the lost Saraswati River in the Punjab-Haryana plains, Northwest India from satellite data. Palaeogeography, Palaeoclimatology, Palaeoecology. doi: 10.1016/j.palaeo.2021.110716 [PDF]
 Singh, A., Gaurav, K., Kumar Rai, A., & Beg, Z., (2021). Machine learning to estimate surface roughness from satellite images. Remote Sensing. doi: 10.3390/rs13193794 [PDF]
 Kumar Rai, A., Beg, Z., Singh, A., & Gaurav, K. (2021). Estimating discharge of the Ganga River from satellite altimeter data. Journal of Hydrology. doi: 10.1016/j.jhydrol.2021.126860 [PDF]
 Kotiyal, V., Singh, A., Sharma, S., Nagar, J., & Lee, C.C. (2021). ECS-NL: An Enhanced Cuckoo Search
Algorithm for Node Localisation in Wireless Sensor Networks. Sensors. doi: 10.3390/s21113576 [PDF, Code]
 Singh, J., Chaturvedi, A., Sharma, S., & Singh, A. (2021). A novel model to eliminate the doubly near‐far problem in wireless powered communication network. IET Communications. doi: 10.1049/cmu2.12167 [PDF]
 Singh, A., Nagar, J., Sharma, S., & Kotiyal, V. (2021). A Gaussian Process Regression Approach to Predict the k-barrier Coverage Probability for Intrusion Detection in Wireless Sensor Networks.
Expert Systems with Applications. doi: 10.1016/j.eswa.2021.114603 [PDF]
 Singh, A., Sharma, S., & Singh, J. (2021). Nature-Inspired Algorithms for Wireless Sensor
Networks: A Comprehensive Survey. Computer Science Review. doi: 10.1016/j.cosrev.2020.100342 [PDF]
 Singh, A., Kotiyal, V., Sharma, S., Nagar, J., & Lee, C.C. (2020). A Machine Learning Approach to Predictthe Average Localisation Error withApplications to Wireless SensorNetworks. IEEE Access. doi: 10.1109/ACCESS.2020.3038645 [PDF,Code]
 Singh, A., Gaurav, K., Meena, G. K., & Kumar, S. (2020). Estimation of Soil Moisture applying modified Dubois model to Sentinel-1; A regional Study from Central India. Remote Sensing. doi: 10.3390/rs12142266 [PDF]
 Sharma, S., Kumar, R., Singh, A., & Singh, J. (2020). Wireless information and power transfer using single and multiple path relays. International Journal of Communication Systems. doi: 10.1002/dac.4464 [PDF]
 Singh, A., Sharma, S., Singh, J., & Kumar, R. (2019). Mathematical modelling for reducing the sensing of redundant information in WSNs based on biologically inspired techniques. Journal of Intelligent & Fuzzy Systems. doi: 10.3233/JIFS-190605 [PDF]
 Singh, A., Sharma, M., Kumar, R., Singh, S. P., & Madhesiya, J. R. (2018). Modelling and analysis of polarization noise in vertical cavity surface emitting lasers. Multiscale and Multidisciplinary Modeling, Experiments and Design. doi:10.1007/s41939-018-0033-9 [PDF,Code]
 Singh, Abhilash, Meena, G. K., Kumar, S., & Gaurav, K. (2019). Evaluation of the penetration depth of L-band S-band (NISAR mission) microwave SAR signals into the ground. 2019 URSI- Asia Pacific Radio Science Conference [PDF, PPT,MATLAB Code] (Talk)
 Kumar, R. & Singh, Abhilash. (2018). Throughput optimization for wireless information and power transfer in communication network. In Signal processing and communication engineering systems (spaces), 2018 conference (pp. 1–5). IEEE.doi:10.1109/SPACES.2018.8316303 [PDF]
 Singh, Abhilash, Meena, G. K., Kumar, S., & Gaurav, K. (2018). Analysis of the effect of incidence angle and moisture content on the penetration depth of l- and s-band sar signals into the ground surface. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences (Vol. IV-5, pp. 197–202).doi:10.5194/isprs-annals-IV-5-197-2018 [PDF, Video,MATLAB Code] (Talk)
 Sharma, S., Singh, J., Kumar, R., & Singh, Abhilash. (2017). Throughput-save ratiooptimization in wireless powered communication systems. In Information, communication, instrumentation and control (ICICIC), 2017 international conference (pp. 1–6). IEEE. doi:10.1109/ICOMICON.2017.8279031 [PDF] (Talk)
Awards and Achievements
■DST INSPIRE Fellowship Selected for the prestigious DST INSPIRE FELLOWSHIP in ``Engineering Sciences''. Awarded by Department of Science and Technology, Govt. of India.
■ GOLD MEDALIST Throughout topper in B.Tech. and M.Tech.
■ NATIONAL LEVEL EXAM QUALIFIED GATE-2017, UGC NET 2016, UGC NET 2017, UGC NET 2018.
■ RANK IN MATLAB CENTRAL
 Rank 879 out of 112,203 (Top 1 %) in MATLAB Cody in Mathworks.
 Rank 1187 out of 17913 in MATLAB file Exchange in Mathworks
(Over 12k downloads; Click here)
 Lloyd V. Berkner Travel Fellowship from American Geophysical Union (AGU) to attend AGU Fall Meeting 2023, San Francisco, CA, USA.
 CSIR Foreign Travel Grant to attend European Geosciences Union (EGU) General Assembly 2023, Vienna, Austria.
 SERB-ITS Travel Grant to attend European Geosciences Union (EGU) General Assembly 2023, Vienna, Austria.
 Early Career Scientist’s Travel Support Grant (Roland Schlich Travel Support) of European Geosciences Union (EGU) General Assembly 2023, Vienna, Austria.
 American Geophysical Union (AGU) Ecohydrology Early Career Tiny Grant at AGU Fall Meeting 2022, Chicago, USA.
 Travel Grant through FAAC Scheme IISER Bhopal, 2022.
 Student travel grant to attend the ``6th soil moisture application and validation workshop 2022," Perugia, Italy.
 American Geophysical Union (AGU) Ecohydrology Early Career Tiny Grant at AGU Fall Meeting 2021, New Orleans, Louisiana, USA.
 Fully funded student travel grant from American Geophysical Union (AGU) to attend AGU Fall Meeting 2021, New Orleans, Louisiana, USA.
 Full scholarship to attend the highly competitive ``Machine Learning Summer School 2020'' at Telkom University, Indonesia.
 Fully funded DAAD fellowship for attending a summer school on ``Geospatial data science using R 2019" at Friedrich Schiller University Jena, Germany.