Updates

Click here to download and explore our code repository (https://abhilashsingh.net/codes.html).
(14-11-2024): Manuscript titled as "PIML-SM: Physics-informed machine learning to estimate surface soil moisture from multi-sensor satellite images by leveraging swarm intelligence" is accepted for publication in IEEE Transactions on Geoscience and Remote Sensing, IEEE.
(16-09-2024): Featured as the Top 2% Scientist in "Artificial Intelligence and Image Proccessing"!!!
(16-09-2024): Joined University of Leeds as Research Fellow!!!
(28-05-2024): Successfully defended my PhD thesis!!!
(25-03-2024): Manuscript titled as "Assessment of machine learning models to predict daily streamflow in a semi-arid river catchment" is accepted for publication in Neural Computing and Applications, Springer.
(20-02-2024): Manuscript titled as "Nature-inspired optimal tuning of input membership functions of fuzzy inference system for groundwater level prediction" is accepted for publication in Environmental Modelling and Software, Elsevier.
(11-01-2024): Received the prestigious Early Career Scientist's Travel Support Grant (Roland Schlich travel support) from European Geosciences Union.
(24-12-2023): Received the Vice-Chancellor Gold Medal at GBU convocation 2023.
(15-12-2023): Manuscript titled as "F-TLBO-ID: Fuzzy Fed Teaching Learning Based Optimisation Algorithm to Predict the Number of k-barriers for Intrusion Detection" is accepted for publication in Applied Soft Computing, Elsevier.
(08-12-2023): Received the AGU Non-linear Geophysics (NG) Dependent Care Award from American Geophysical Union.
(28-11-2023): Manuscript titled as "Dynamics of waterlogging and drainage congestion on the Kosi Fan, Himalayan Foreland" is accepted for publication in Remote Sensing Applications: Society and Environment, Elsevier.
(29-10-2023): Manuscript titled as "AutoML-GWL: Automated machine learning model for the prediction of groundwater level" is accepted for publication in Engineering Applications of Artificial Intelligence, Elsevier.
(13-10-2023): Manuscript titled as "Machine Learning for Coverage Optimization in Wireless Sensor Networks: A Comprehensive Review" is accepted for publication in Annals of Operations Research, Springer.

Work Experience

  1. ■ September 2024 - Present: Research Fellow, Faculty of Engineering and Physical Science, School of Mathematics, Department of Applied Mathematics, University of Leeds, Leeds, United Kingdom.


  2. ■ August 2023 - May 2024: Senior Research Fellow, Department of EES, Indian Institute of Science Education and Research, Bhopal.


  3. ■ August 2019 - July 2022: Teaching Assistant, Department of EES, Indian Institute of Science Education and Research, Bhopal.

    Subject: Data Analysis and Statistics (Fall 2019) [Blog written by me on Data Science]
    Subject: Remote Sensing and GIS (Spring 2020, 2021, 2022) (Theory and Practical)
    Subject: Geo-hydrology (Fall 2020, 2021)


  4. ■ March 2018 - July 2018: Junior Research Fellow, Department of EES, Indian Institute of Science Education and Research, Bhopal.

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


  5. ■ 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.


Miscellaneous experience

  1. ■ 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).


  2. ■ Reviewer

    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), Computers and Electronics in Agriculture (Elsevier), Sensors (MDPI), International Journal of Communication Systems (Wiley), GIScience & Remote Sensing (Taylor & Francis), Geomatics, Natural Hazards and Risk (Taylor & Francis), Information Fusion (Elsevier), Geocarto International (Taylor & Francis), Geo-spatial Information Science (Taylor & Francis), IEEE Transactions on Geoscience and Remote Sensing, GIScience & Remote Sensing (Taylor & Francis), Transactions on Emerging Telecommunications Technologies (Wiley), Journal of Hydrology (Elsevier).

Education

  1. ■ August 2018 - May 2024: Ph.D., Indian Institute of Science Education and Research Bhopal, India.

    Thesis title: Quantifying soil moisture from satellite images: Algorithm to Application.
    Thesis Supervisor: Dr. Kumar Gaurav, Associate Professor, EES, IISER Bhopal
    Defense date: May 28th, 2024


  2. ■ 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

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  1. ■ Pre-prints

    2. [P1] Singh, A., Mausavi, SHS., and Gaurav, Kumar (2024). ``SHS: Scorpion Hunting Strategy Swarm Algorithm," [ arxiv ]


  2. ■ Journals

    3. [J32] Singh, A., and Gaurav, K. (2024). ``PIML-SM: Physics-informed machine learning to estimate surface soil moisture from multi-sensor satellite images by leveraging swarm intelligence," IEEE Transactions on Geoscience and Remote Sensing. doi: 10.1109/TGRS.2024.3502618 [Web][Download]

    [J31] Kumar, A., Gaurav, K., Singh, A., and Yaseen ZM (2024). ``Assessment of machine learning models to predict daily streamflow in a semiarid river catchment," Neural Computing and Applications. doi:10.1007/s00521-024-09748-1 [Web][Download][Code]

    [J30] Bhadani, V.*, Singh, A.*, Kumar, V., and Gaurav, K. (2024). ``Nature-inspired optimal tuning of input membership functions of fuzzy inference system for groundwater level prediction," Environmental Modelling & Software. doi:10.1016/j.envsoft.2024.105995 (*Equal contribution first author) [Web][Download][Code]

    [J29] Singh, A., Mausavi, SHS., and Nagar, J. (2024). ``F-TLBO-ID: Fuzzy fed teaching learning based optimisation algorithm to predict the number of k-barriers for intrusion detection," Applied Soft Computing. doi: 10.1016/j.asoc.2023.111163 [Web][Download][Code]

    [J28] Singh, A., Patel, S., Bhadani, V., Kumar, V., and Gaurav, K. (2024). ``AutoML-GWL: Automated machine learning model for the prediction of groundwater level," Engineering Applications of Artificial Intelligence. doi: 10.1016/j.engappai.2023.107405 [Web][Download][Code]

    [J27] Niranjannaik, M., Gaurav, K., Singh, A., & Singh, A. K. (2024). ``Dynamics of waterlogging and drainage congestion on the Kosi Fan, Himalayan Foreland,'' Remote Sensing Applications: Society and Environment, doi: 10.1016/j.rsase.2023.101113 [Web][Download]

    [J26] Egwuche O. S., Singh, A., Ezugwu A. E., Greeff, J., Olusanya, M.O., and Abualigah, L. (2023). ``Machine Learning for Coverage Optimization in Wireless Sensor Networks: A Comprehensive Review of State-of-the-Art Approaches,'' Annals of Operations Research, doi: 10.1007/s10479-023-05657-z [Web][Download]

    [J25] 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 [Web][Download][Code]

    [J24] 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 [Web][Download][ Code ]

    [J23] 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 [Web][Download][ Code ]

    [J22] 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 [Web][Download]

    [J21] 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 [Web][Download]

    [J20] 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 [Web][Download][ Code ]

    [J19] 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 [Web][Download][Code] (Invited contribution)

    [J18] 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 [Web][Download]

    [J17] 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 [Web][Download]

    [J16] 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 [Web][Download]

    [J15] 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 [Web][Download]

    [J14] 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 [Web][Download]

    [J13] 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 [Web][Download]

    [J12] 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 [Web][Download]

    [J11] 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 [Web][Download]

    [J10] 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 [Web][Download]

    [J9] 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 (*Equal contribution first author) [PDF][Code][Download]

    [J8] 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 [Download]

    [J7] 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 [Web][Download][Code]

    [J6] 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 [Web][Download]

    [J5] 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 [Web][Code][Download]

    [J4] 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 [Web][Download][Code]

    [J3] 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]

    [J2] 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]

    [J1] 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]

  3. ■ Conference

    [C2] 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)

    [C1] 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)

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

    [2] Rank 879 out of 112,203 (Top 1 %) in MATLAB Cody in Mathworks. (Click here)

    [1] Rank 1187 out of 17913 in MATLAB file Exchange in Mathworks (Over 12k downloads; Click here)


  5. ■ Achievements and Grants

    [14] Featured in the Top 2% Scientist list (2024) in the category of "Artificial Intelligence and Image Processing."

    [13] Early Career Scientist’s Travel Support Grant (Roland Schlich Travel Support) of European Geosciences Union (EGU) General Assembly 2024, Vienna, Austria.

    [12] AGU Non-linear Geophysics (NG) Dependent Care Award from American Geophysical Union (AGU).

    [11] Lloyd V. Berkner Travel Fellowship from American Geophysical Union (AGU) to attend AGU Fall Meeting 2023, San Francisco, CA, USA.

    [10] CSIR Foreign Travel Grant to attend European Geosciences Union (EGU) General Assembly 2023, Vienna, Austria.

    [9] SERB-ITS Travel Grant to attend European Geosciences Union (EGU) General Assembly 2023, Vienna, Austria.

    [8] Early Career Scientist’s Travel Support Grant (Roland Schlich Travel Support) of European Geosciences Union (EGU) General Assembly 2023, Vienna, Austria.

    [7] American Geophysical Union (AGU) Ecohydrology Early Career Tiny Grant at AGU Fall Meeting 2022, Chicago, USA.

    [6] Travel Grant through FAAC Scheme IISER Bhopal, 2022.

    [5] Student travel grant to attend the ``6th soil moisture application and validation workshop 2022," Perugia, Italy.

    [4] American Geophysical Union (AGU) Ecohydrology Early Career Tiny Grant at AGU Fall Meeting 2021, New Orleans, Louisiana, USA.

    [3] Fully funded student travel grant from American Geophysical Union (AGU) to attend AGU Fall Meeting 2021, New Orleans, Louisiana, USA.

    [2] Full scholarship to attend the highly competitive ``Machine Learning Summer School 2020'' at Telkom University, Indonesia.

    [1] Fully funded DAAD fellowship for attending a summer school on ``Geospatial data science using R 2019" at Friedrich Schiller University Jena, Germany.


  6. ■ Media cover and mentions

    [2] 2022: Nominated for the AGU Earth and Planetary Surface Processes (EPSP) Early Career Spotlight (Read the interview)

    [1] 2021: Featured as a leaf in the “Meet a leaf” series of American Geophysical Union (AGU) Ecohydrology.(Read the interview)


Gallery

WMC Beijing Workshop on New Technology and Products

12-14 November 2024, China.

World Meteorological Centre Beijing

12 November 2024, China.

Convocation 2024

13 August 2024, IISER Bhopal.

PhD Thesis Defense

28 May 2024, IISER Bhopal.

Chancellor Gold Medal at GBU Convocation 2023

24 December 2023, Greater Noida.

European Geosciences Union (EGU) General Assembly 2023

April 24-28 2023, Vienna, Austria.

Felicitation memento at ICMR-National Institute for Research in Environmental Health (ICMR-NIREH) Bhopal

January 18-24 2023, Sponsored by SERB-DST.

Delivered a talk (invited) at ICMR-National Institute for Research in Environmental Health (ICMR-NIREH) Bhopal

January 18-24 2023, Sponsored by SERB-DST.

“6th Satellite Soil Moisture Validation and Application Workshop”

June 07-09, 2022. Perugia, Italy.

“6th Satellite Soil Moisture Validation and Application Workshop”

June 07-09, 2022. Perugia, Italy.

“Second Annual Departmental Meet,” IISER Bhopal

March 23-24, 2022. Bhopal, India.

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.

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

Organized by 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

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

August 06-10, 2018. SAC-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 IIRS, ISRO, Dehradun, India.

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