I have completed an integrated M.Tech. Degree in Electronics and Communication Engineering with specialization in Wireless Communication and Networks from Gautam Buddha University, Greater Noida, in 2017. I received the gold medal award (throughout topper in B.Tech.+ M.Tech.) in the university. From 2018 to 2021, I worked on NASA-ISRO SAR (NISAR) project at the Indian Institute of Science Education and Research Bhopal, India. Currently, I am a research scholar. 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, 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).”
■ August 2019 - Till date : Teaching Assistant, Department of EES, Indian Institute of Science Education and Research, Bhopal.
■ June 2015 - Jully 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.
■ 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 and Head-in-charge
■ 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.
 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] [IF - 3.21]
 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] [IF - 3.57]
 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] [IF - 3.31]
 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] [IF - 4.84]
 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] [IF - 5.72]
 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] [IF - 3.57]
 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] [IF - 1.54]
 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] [IF - 6.95]
 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] [IF - 7.87]
 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] [IF - 3.36]
 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] [IF - 4.84]
 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] [IF - 2.04]
 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] [IF - 1.85]
 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,MATLAB 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 816 out of 108444 (Top 1 %) in MATLAB Cody in Mathworks.
Rank 1228 out of 17670 in MATLAB file Exchange in Mathworks
(Over 12k downloads; Click here)
 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) ($ 1000) 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 (€ 1325) for attending a summer school on ``Geospatial data science using R 2019" at Friedrich Schiller University Jena, Germany.