Updates

Happy New Year 2021 (12-01-2021): Manuscript titled as " A Gaussian Process Regression Approach to Predict the k-barrier Coverage Probability for Intrusion Detection in Wireless Sensor Networks" is accepted for publication in Expert Systems With Applications.
(08-12-2020): Joined the reviewer board for "IEEE Access, IEEE."
(01-12-2020): Manuscript titled as "Nature-Inspired Algorithms for Wireless Sensor Networks: A Comprehensive Survey" is accepted for publication in Computer Science Review.
(25-11-2020): Joined the reviewer board for "Complex & Intelligent Systems (CAIS), Springer."
(14-11-2020): Manuscript titled as "A Machine Learning Approach to Predictthe Average Localisation Error with Applications to Wireless Sensor Networks" is accepted for publication in IEEE Access.
(25-08-2020): I have been accepted to attend the highly prestigious "The CODATA-RDA Research Data Science Summer School 2020".
(03-06-2020): Manuscript titled as "Estimation of Soil Moisture applying modified Dubois model to Sentinel-1; A regional Study from Central India" is accepted for publication in Remote Sensing, MDPI
(22-05-2020): I have been accepted to attend the high competitive MLSS (Machine Learning Summer School) 2020 (the event will be fully virtual).
(14-05-2020): Joined the reviewer board for "Journal of The Institution of Engineers (India): Series B, Springer."
(25-04-2020): Manuscript titled as "Wireless information and power transfer using single and multiple path relays" is accepted for publication in International Journal of Communication Systems, Wiley.
(23-04-2020): Selcted as the Ambassador for IEEEXtreme 14.0 (Region-10, IEEE M.P Sub Section).
(23-03-2020): Joined the reviewer board for journal "Wireless Personal Communications, Springer."

Work Experience

  1. ■ August 2019 - Till date : Teaching Assistant, Department of EES, Indian Institute of Science Education and Research, Bhopal.

    Subject: Data Analysis and Statistics [Blog written by me on Data Science]


  2. ■ March 2018 - Till date : Junior Research Fellow, Department of EES, Indian Institute of Science Education and Research, Bhopal.

    Project: NISAR (NASA-ISRO Synthetic Aperture Radar).


  3. ■ 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.

Education

  1. ■ 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.

Publications

  1. ■ Journals

    2. [6] Singh, A., Sharma, S., & Singh, J. (2020). Nature-Inspired Algorithms for Wireless Sensor Networks: A Comprehensive Survey. Computer Science Review doi: 10.1016/j.cosrev.2020.100342 [ PDF ] [IF - 7.70]

    [5] Singh, A., Kotiyal, V., Sharma, S., Nagar, J., & Lee, 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 - 3.74]

    [4] 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 - 4.51]

    [3] 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 - 1.32]

    [2] 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]

    [1] 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 ]

  2. ■ Conference

    [5] 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)

    [4] Deo, B. K. S., Singh, Abhilash, Kumar, R., & Singh, K. K. (2018). An improved scheme asymmetrically and symmetrically clipped dc-biased optical (asdco)-ofdm for wirelessim/dd optical system. In International conference on computing for sustainable global development (Indiacom), 2018 conference. IEEE. [ PDF ]

    [3] 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 ]

    [2] 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)

    [1] 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)

  3. ■ Abstract

    4. [1] Singh, Abhilash, & Gaurav, K. (2019). Evaluating the potential of Sentinel-1 images for the estimation of soil moisture on an alluvial Fan. EGU General Assembly 2020. [ PDF ]

Awards and Achievements

  1. ■ DST INSPIRE Fellowship
    Selected for the prestigious DST INSPIRE FELLOWSHIP in ``Engineering Sciences''. Awarded by Department of Science and Technology, Govt. of India.


  2. ■ GOLD MEDALIST Throughout topper in B.Tech. and M.Tech.


  3. ■ NATIONAL LEVEL EXAM QUALIFIED GATE-2017, UGC NET 2016, UGC NET 2017, UGC NET 2018.


  4. ■ RANK IN MATLAB CENTRAL
    Rank 644 out of 81169 (Top 1 %) in MATLAB Cody in Mathworks. (Click here)
    Rank 1547 out of 16170 in MATLAB file Exchange in Mathworks (Click here)


  5. ■ GRANTS
    [1] Fully funded DAAD fellowship (€ 1325) for attending a summer school on ``Geospatial data science using R" at Friedrich Schiller University Jena, Germany.

    [2] Full scholarship to attend the highly competitive ``Machine Learning Summer School'' at Telkom University, Indonesia.


Gallery and Updates

SAR Data Processing and Analysis for Land Applications with Special Emphasis on L & S Bands

August 06-10, 2018. Space Applications Centre, ISRO, Ahmedabad, India.

NISAR Science Workshop

November 15-17, 2018. Space Applications Centre, ISRO, Ahmedabad, India.

ISPRS Technical Commission V Education and Outreach: Geo-spatial Technology - Pixel to People

NOVEMBER 20-23, 2018. Organized by Indian Institute of Remote Sensing, ISRO, Dehradun, India.

Remote Sensing, GIS and Machine Learning for Environment, Natural Resources and Agriculture

Organized by Indraprastha Institute of Information Technology Delhi (IIIT D), held on 4th-5th January 2019.

URSI-Asia Pacific Radio Science Conference

March 09th-15th, 2019. Organized by JNU, URSI, InRaSS and INSA at India Habitat Centre, New Delhi.

Rocket and Satellite designing club

Construction of drone

Unmanned Aerial System in Geomatics

April 06th-07th, 2019. Organized by IIT Roorkee, Greater Noida Extention Center, U.P, India.

Geospatial data science using R

August 24th - September 01st, 2019. Organized by Friedrich Schiller University Jena, Germany.

Geospatial data science using R

Excursion after the summer school, Germany.