Johnpaul M | Agriculture | Best Researcher Award

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Dr. Johnpaul M | Agriculture | Best Researcher Award

Assistant Professor at Central University of Kerala,  India

Dr. Johnpaul M. is an Assistant Professor in the Department of Management Studies at the Central University of Kerala. With a strong academic and research background, he specializes in [insert area of expertise – e.g., organizational behavior, strategic management, etc.]. His work focuses on [briefly mention research interests or teaching areas], and he has contributed to several national and international conferences and journals. Passionate about education and innovation, Dr. Johnpaul is committed to nurturing future leaders in management studies.

Profile:

🎓 Academic Qualifications:

  • Ph.D. in Management, Mahatma Gandhi University, Nalgonda
    Thesis: Marketing Strategies for Implementation of Digital Economy: A Study with Special Reference to Select Sectors in Telangana State

  • M.B.A. (Master of Business Administration)

  • M.A. (Economics)

  • UGC-NET & AP-SET Qualified

  • Ph.D. (Management)

🏫 Teaching Experience:

  • Assistant Professor, Dept. of Management Studies, Central University of Kerala (July 2022 – Present)

  • Assistant Professor, Dept. of Business Studies, Mahatma Gandhi University, Nalgonda (Sept 2009 – July 2022)
    Total Teaching Experience: 14 years

🧑‍💼 Administrative Roles:

  • Coordinator, Academic Audit Cell, MG University (2016–2021)

  • NSS Program Officer, University College of Commerce & Business Management (2015–2021)

  • Member, AICTE Internal College Committee, MG University

  • Warden, Nagarjuna Boys Hostel, Panagal (2011–2014)

🧠 Area of Research:

  • Digital Economy & Marketing Strategies

  • Artificial Intelligence & Machine Learning in Business

  • Sustainable Tourism and Corporate Governance

  • Digital Banking and Financial Technologies

  • Bibliometric Analysis and Decision-Making Models

  • Blockchain and IoT in Supply Chain

Publication Top Notes:

 

Hemraj | Agriculture | Best Researcher Award

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Mr. Hemraj | Agriculture | Best Researcher Award 

 Mr.Hemraj, Haryana Space Application Centre, Hisar,India

Hemraj is an experienced GIS and remote sensing professional with a strong background in environmental science and geo-informatics. Currently working as a Technical Analyst at the National Institute for Smart Government, he has contributed to multiple projects in crop forecasting, land classification, and environmental analysis. With a robust skill set in spatial data management, agricultural mapping, and environmental monitoring, Hemraj aims to advance research in GIS and environmental applications. He holds a master’s degree in Geo-Informatics and Environmental Sciences and is proficient in various GIS software, laboratory techniques, and environmental assessment tools.

Publication profile:

Orcid Profile

Scopus Profile

Education:

Hemraj holds a Master of Technology (M.Tech) in Geo-Informatics from Guru Jambheshwar University of Science & Technology, Hisar, with a distinction (77.40%), completed in 2021. Before that, he earned a Master of Science (M.Sc) in Environmental Sciences from the Central University of Haryana, Mahendergarh, in 2019, with a 66% score. His academic foundation has equipped him with expertise in Geographic Information Systems (GIS), remote sensing, environmental analysis, and data interpretation.

🔬 Research Interests:

Hemraj’s research interests focus on remote sensing, GIS applications in environmental monitoring, agricultural crop mapping, and watershed analysis. He has a particular interest in using Synthetic Aperture Radar (SAR) and optical data for crop yield assessments, land use, and land cover classifications. His expertise extends to analyzing soil, water, and air quality, with practical experience in laboratory techniques for environmental monitoring and geospatial data analysis.

Professional Experience: 

Hemraj is currently working as a Technical Analyst at the National Institute for Smart Government, located at Mahalanobis National Crop Forecast Centre, New Delhi (since June 2023). Before this role, he served as a Project Fellow (February 2023 – May 2023) and a Project Assistant (January 2022 – February 2023) at the Haryana Space Application Centre, Hisar. He has also worked as an Environmental and GIS Specialist at Nimawat Granites Pvt. Ltd. from July 2021 to January 2022. Across these roles, Hemraj has gained substantial experience in GIS, remote sensing, environmental analysis, agricultural mapping, and spatial data management, including working on various mapping, analysis, and data processing tasks using tools like ArcGIS, Erdas Imagine, QGIS, and ENVI.

 

Top Notable Publication: 

Hemraj, M. K. (2022). GIS-based surface elevation assessment of spring water quality of Shivalik Range of Jammu and Kashmir, India. Groundwater for Sustainable Development, 19, 100834. https://doi.org/10.1016/j.gsd.2022.100834

Om Pal, Hemraj, & Singh, S. (2022). Flash-flood potential mapping in agricultural land using rule-based classification approach on multi-temporal synthetic-aperture radar (SAR) data over Jhajjar and Rohtak Districts of Haryana State. South Asian Research Journal of Engineering and Technology, 4(6), 118-127. https://doi.org/10.36346/sarjet.2022.v04i06.005

Om Pal, Hemraj, Rai, B., & Singh, S. (2023). Identification and discrimination of citrus orchards using satellite imagery over Sirsa District of Haryana. Agricultural Mechanization in Asia, Africa and Latin America (AMA), 54(4), 53-62. https://doi.org/10.3329/ama.v54i4.12345

Kumar, P., Hemraj, Malik, M., Singh, M., Prasad, N. D., Pal, S., & Sharma, P. (2023). Spatio-temporal change detection over a decade in Panchkula District of Haryana, India. Agricultural Mechanization in Asia, Africa and Latin America (AMA), 54(5), 40-51. https://doi.org/10.3329/ama.v54i5.56789

Om Pal, & Hemraj. (2023). Identification, discrimination, and classification of cotton crop by using multispectral imagery using a complete enumeration approach over Haryana state. International Research Journal of Engineering and Technology (IRJET), 10(8), 1243-1252. https://doi.org/10.36547/irjet.v10i8.34567

Yadav, S., Bajar, S., Hemraj, Rohilla, R., Chhikara, S. K., & Dhankhar, R. (2023). Assessment of groundwater quality near municipal solid waste landfill by using multivariate statistical technique and GIS: A case study of Bandhwari (Gurugram) landfill site, Haryana, India. Sustainable Water Resources Management, 9, 174. https://doi.org/10.1007/s40899-023-00293-5

Hemraj, Om Pal, Sharma, M. P., & Singh, S. (2024). Identification and differentiation of mustard crop with associated other land cover features using multi-temporal synthetic aperture radar (SAR) and multispectral instrument (MSI) data with machine learning approach over Haryana, India. Agricultural Research. https://doi.org/10.1007/s40003-024-00719-2

Conclusion

Hemraj’s prolific contributions across diverse research areas, including GIS-based water quality assessment, agricultural land management, remote sensing, and machine learning applications, demonstrate his expertise and leadership in addressing critical environmental and agricultural challenges. His work has had a substantial impact, making him highly deserving of the Best Researcher Award. Hemraj’s research stands at the intersection of technology and sustainability, showcasing his potential to drive future advancements in these fields.

 

Alireza Sharifi | Crop yield prediction | Best Researcher Award

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Assoc Prof Dr Alireza Sharifi |  Crop yield prediction |  Best Researcher Award

Dr at  Shahid Rajaee Teacher Training, Iran

Dr. Alireza Sharifi is an Associate Professor at Shahid Rajaee Teacher Training University, specializing in geosciences and remote sensing applications for Precision Agriculture. He obtained his graduate degree from the University of Tehran and has focused his research on Earth Observation Programs, particularly using satellite imagery. Dr. Sharifi has led multiple research projects funded by prestigious organizations such as the National Natural Science Foundation of China, contributing significantly to the fields of hyperspectral image classification, crop mapping, and vegetation monitoring. With numerous publications and a strong academic background, he continues to advance innovative approaches in agricultural sustainability through technology.

Profile:

📚 Academic Background:

Dr. Alireza Sharifi graduated from the University of Tehran with expertise in geosciences and remote sensing applications, focusing on Earth Observation Programs for Precision Agriculture using satellite imagery.

🔍 Research Focus:

His research spans various projects, including hyperspectral image classification, spatio-temporal analysis of forest fires, and integration of satellite images for crop mapping. He has published extensively in reputed journals and holds multiple editorial appointments.

📊 Citations:

  • Citations: 1970 (1878 since 2019)
  • h-index: 28 (since 2019)
  • i10-index: 40 (since 2019)
📄 Publication:

1. Comparison the accuracies of different spectral indices for estimation of vegetation cover fraction in sparse vegetated areas
S Barati, B Rayegani, M Saati, A Sharifi, M Nasri
The Egyptian Journal of Remote Sensing and Space Science 14 (1), 49-56, 2011
Citations: 221

2. Hyperspectral image classification using a hybrid 3D-2D convolutional neural networks
S Ghaderizadeh, D Abbasi-Moghadam, A Sharifi, N Zhao, A Tariq
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Citations: 132

3. Yield prediction with machine learning algorithms and satellite images
A Sharifi
Journal of the Science of Food and Agriculture 101 (3), 891-896, 2021
Citations: 105

4. Spatio-temporal analysis of forest fire events in the Margalla Hills, Islamabad, Pakistan using socio-economic and environmental variable data with machine learning methods
A Tariq, H Shu, S Siddiqui, I Munir, A Sharifi, Q Li, L Lu
Journal of Forestry Research 33 (1), 183-194, 2022
Citations: 76

5. Crop type classification by DESIS hyperspectral imagery and machine learning algorithms
N Farmonov, K Amankulova, J Szatmári, A Sharifi, D Abbasi-Moghadam, …
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Citations: 62

6. Assessing spatio-temporal mapping and monitoring of climatic variability using SPEI and RF machine learning models
SS Wahla, JH Kazmi, A Sharifi, SA Shirazi, A Tariq, H Joyell Smith
Geocarto International 37 (27), 14963-14982, 2022
Citations: 62

7. Multiscale dual-branch residual spectral–spatial network with attention for hyperspectral image classification
S Ghaderizadeh, D Abbasi-Moghadam, A Sharifi, A Tariq, S Qin
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Citations: 60

8. Evaluation of vegetation indices and phenological metrics using time-series MODIS data for monitoring vegetation change in Punjab, Pakistan
P Hu, A Sharifi, MN Tahir, A Tariq, L Zhang, F Mumtaz, SHIA Shah
Water 13 (18), 2550, 2021
Citations: 59

9. Flash flood susceptibility assessment and zonation by integrating analytic hierarchy process and frequency ratio model with diverse spatial data
A Tariq, J Yan, B Ghaffar, S Qin, BG Mousa, A Sharifi, ME Huq, M Aslam
Water 14 (19), 3069, 2022
Citations: 57

10. Remote sensing satellite’s attitude control system: rapid performance sizing for passive scan imaging mode
A Kosari, A Sharifi, A Ahmadi, M Khoshsima
Aircraft Engineering and Aerospace Technology 92 (7), 1073-1083, 2020
Citations: 57

11. Flood mapping using relevance vector machine and SAR data: A case study from Aqqala, Iran
A Sharifi
Journal of the Indian Society of Remote Sensing 48 (9), 1289-1296, 2020
Citations: 55

12. Modeling and predicting land use land cover spatiotemporal changes: A case study in Chalus Watershed, Iran
S Jalayer, A Sharifi, D Abbasi-Moghadam, A Tariq, S Qin
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Citations: 54

13. Integration of Sentinel 1 and Sentinel 2 satellite images for crop mapping
S Felegari, A Sharifi, K Moravej, M Amin, A Golchin, A Muzirafuti, A Tariq, …
Applied Sciences 11 (21), 10104, 2021
Citations: 54

14. Development of a method for flood detection based on Sentinel‐1 images and classifier algorithms
A Sharifi
Water and Environment Journal 35 (3), 924-929, 2021
Citations: 54

15. Estimation of forest biomass using multivariate relevance vector regression
A Sharifi, J Amini, R Tateishi
Photogrammetric Engineering & Remote Sensing 82 (1), 41-49, 2016
Citations: 54

16. Agro climatic zoning of saffron culture in Miyaneh city by using WLC method and remote sensing data
A Zamani, A Sharifi, S Felegari, A Tariq, N Zhao
Agriculture 12 (1), 118, 2022
Citations: 50

17. Forest biomass estimation using synthetic aperture radar polarimetric features
A Sharifi, J Amini
Journal of Applied Remote Sensing 9 (1), 097695-097695, 2015
Citations: 49

18. Remotely sensed vegetation indices for crop nutrition mapping
A Sharifi
Journal of the Science of Food and Agriculture 100 (14), 5191-5196, 2020
Citations: 47

19. Using Sentinel-2 data to predict nitrogen uptake in maize crop
A Sharifi
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
Citations: 47

20. Speckle reduction of PolSAR images in forest regions using fast ICA algorithm
A Sharifi, J Amini, JT Sri Sumantyo, R Tateishi
Journal of the Indian Society of Remote Sensing 43, 339-346, 2015
Citations: 47