Bashir Olaniyi Sadiq | Smart Agriculture Award | Best Researcher Award

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Assoc Prof Dr. Bashir Olaniyi Sadiq | Smart Agriculture Award | Best Researcher Award

Assoc Prof Dr. Bashir Olaniyi Sadiq, Kampala International University , Uganda

Assoc. Prof Dr. Bashir Olaniyi Sadiq currently serves as an Associate Professor and Director of ICT at Kampala International University, Uganda, starting in July 2024. He is also affiliated with the Department of Electrical, Telecommunication & Computer Engineering. His duties include conducting research using advanced equipment, curriculum review, and supervising students in fields like computer communications, IoT, image processing, and ad hoc networks. Additionally, he teaches both undergraduate and postgraduate students in various electrical and computer engineering courses.

Publication profile

Orcid

Academic Qualifications 

Dr. Bashir holds a PhD in Computer Engineering (2018) from Ahmadu Bello University Zaria, where he developed a routing protocol for light fidelity-based indoor flying ad hoc networks. He also holds a Master’s in Computer Engineering (2015) from the same university, where his thesis focused on improving edge detection algorithms using Particle Swarm Optimization. He earned his B. Eng in Electrical Engineering in 2011, with a project on TCP and UDP protocol service level analysis.

 

Professional Qualifications

Dr. Bashir has completed various certifications, including the ICT Application in Higher Education (2021) from the Ministry of Commerce, China, and the Huawei Certified Information Professional (HCIP) certification (2020) from Huawei Academy. Additionally, he has been recognized as a Huawei Certified Academy Instructor.

Awards

Dr. Bashir’s research contributions have been recognized with several awards, including the TETFUND Institution-based Research Grant (2019), where he was the Principal Researcher. He also received the Excellent Instructor Award from the Huawei ICT Academy in 2018 and the Petroleum Development Trust Fund (PTDF) Local PhD Scholarship Scheme in 2017.

Research Interests

His research interests include Computer Communications & Networks, Image Processing, Ad hoc Networks, and Computer Engineering Applications. His work focuses on developing and improving network protocols, edge detection algorithms, and integrating new technologies such as IoT into these systems.

Teaching Experience

Dr. Bashir has an extensive teaching portfolio, which includes courses like Advanced Data Analysis, Biomedical Signal and Image Processing, and Computational Modeling and Artificial Intelligence at Kampala International University. At Ahmadu Bello University Zaria, he taught a wide array of subjects, including Network Technology, Digital Signal Processing, and Operating Systems.

Honor Societies

He is a registered member of various prestigious engineering societies, including the Council for the Regulation of Engineers (COREN), the Institute of Electrical and Electronics Engineers (IEEE), the International Association of Engineers (IAENG), and the Nigerian Society of Engineers.

Publication Top Notes

  • High-tech herding: Exploring the use of IoT and UAV networks for improved health surveillance in dairy farm systems (2024) 🐄📡| DOI: 10.1016/j.sciaf.2024.e02266
  • Maximizing network capacity, control, and management in designing a telemedicine network: A review and recent challenges (2024) 🏥💻 | DOI: 10.4314/njt.v43i1.11
  • Performance Analysis of Various Image Feature Extractor Filters for Pothole Anomaly Classification (2024) 🚗🛤 | DOI: 10.5815/ijigsp.2024.01.03
  • Review of Error Correction in 2D Shingled Magnetic Detection (2023) 📀🛠 | DOI: 10.11113/elektrika.v22n3.265
  • A Comparative Analysis of Symmetric Cryptographic Algorithm as a Data Security Tool: A Survey (2023) 🔐🖥 | | DOI: 10.5281/ZENODO.8313097
  • Energy-aware Message Distribution Algorithm for Enhanced FANET Pipeline Surveillance Reliability (2023) 🛰💡  | DOI: 10.1016/j.sciaf.2023.e01660
  • FANET Experiment: Real-Time Surveillance Applications Connected to Image Processing System (2023) 📷🛸 | | DOI: 10.59568/kjset-2023-2-1-02
  • Statistical LOS/NLOS Classification for UWB Channels (2023) 📡🔎 | Cited by: – | DOI: 10.59568/kjset-2023-2-1-05
  • An adaptive ant colony optimisation for improved lane detection in intelligent automobile vehicles (2022) 🚗🐜 | DOI: 10.1504/ijbic.2022.121225
  • SIFT-CNN Pipeline in Livestock Management: A Drone Image Stitching Algorithm (2022) 🚁🐄 | DOI: 10.3390/drones7010017

Conclusion

Dr. Bashir Olaniyi Sadiq’s extensive research experience, academic qualifications, professional certifications, and teaching expertise make him a strong candidate for the Research for Best Researcher Award. His contributions to computer engineering, particularly in network protocols and image processing, as well as his awards and leadership roles, highlight his excellence in research and academia.

 

 

Zahoor Ahmad | Crop Physiology | Best Researcher Award

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Assoc Prof Dr Zahoor Ahmad |  Crop Physiology |  Best Researcher Award

Associate Professor at  University of Central Punjab, Pakistan

Associate Professor, Campus Coordinator University of Central Punjab, Constituent Punjab College Bahawalpur.

Profile:

Academic Qualifications:

  • Post-Doctorate: Department of Field Crops, Faculty of Agriculture, Cukurova University, Adana, Turkey (January 17 – September 17, 2020)
  • Ph.D. in Crop Physiology: University of Agriculture Faisalabad, Punjab, Pakistan (Completed on December 13, 2015)
    • Thesis Title: Maize (Zea mays L.) Responses to Supplemental Foliar Applied Phosphorus under Drought Stress
  • M.Sc. (Hons.) in Agriculture (Agronomy/Crop Physiology): University of Agriculture Faisalabad, Punjab, Pakistan (2011)
    • Thesis Title: Response of Cotton (Gossypium hirsutum L.) to Foliar Applied Potassium Sulphate (K2SO4)
  • B.Sc. (Hons.) in Agriculture (Agronomy/Crop Physiology): University of Agriculture Faisalabad, Punjab, Pakistan (2009)
  • Intermediate (F.Sc. Pre-medical): BISE Bahawalpur (2005)
  • Matric (Science): BISE Bahawalpur (2002)

Professional Experience:

  • Assistant Professor, Head of Botany Department: Constituent College of University of Central Punjab, Bahawalpur (October 2, 2020 – Present)
  • Post-Doctoral Researcher: Department of Field Crops, Faculty of Agriculture, Cukurova University, Adana, Turkey (January 17 – September 17, 2020)
  • Visiting Faculty Member: Department of Life Sciences (Botany), The Islamia University of Bahawalpur (October 4, 2017 – January 10, 2020)
  • Lecturer: Allama Iqbal College Bahawalpur (September 15, 2017 – December 31, 2019)
  • Assistant Professor: Cholistan Institute of Desert Studies (CIDS), The Islamia University of Bahawalpur, Punjab, Pakistan (July 19, 2016 – July 18, 2017)

Research Interests:

  • Understanding the physiological limitations to crop productivity under field and controlled conditions.
  • Exploring abiotic stress tolerance (drought, salinity, heavy metals, heat) through foliar application of nutrients and trace elements.
  • Identifying morphological, physiological, and biochemical traits for enhanced stress tolerance in crops.
  • Screening germplasm for stress tolerance traits and developing methodologies for productivity enhancement under abiotic stress conditions.

Conclusion:

Considering Dr. Zahoor Ahmad’s research focus, academic background, professional experience, publication record, and contribution to crop physiology under abiotic stress conditions, he seems to be a suitable candidate for the “Best Researcher Award.” His work is significant for improving crop resilience and productivity, making him a valuable contributor to agricultural sciences.

Citations:

  • 1,729 Citations from 1,395 documents
  • 91 Documents authored
  • h-index of 22

Publication Top Notes:

  • Modulating Physiological and Antioxidant Responses in Wheat Cultivars via Foliar Application of Silicon Nanoparticles (SiNPs) Under Arsenic Stress Conditions
    Ahmad, Z., Younis, R., Ahmad, T., Alharby, H.F., Alsamadany, H. (2024). Silicon, 16(12), 5199–5211.
  • Silicon-Mediated Improvement in Maize (Zea mays L.) Resilience: Unrevealing Morpho-Physiological, Biochemical, and Root Attributes Against Cadmium and Drought Stress
    Sabir, A., Waraich, E.A., Ahmad, M., Ahmad, Z., Bibi, S. (2024). Silicon, 16(7), 3095–3109. (1 Citation)
  • Improving Alkaline Stress Tolerance in Maize through Seed Priming with Silicon Nanoparticles: A Comprehensive Investigation of Growth, Photosynthetic Pigments, Antioxidants, and Ion Balance
    Alsamadany, H., Alharby, H.F., Ahmad, Z., Alzahrani, Y.M., Almaghamsi, A. (2024). Silicon, 16(5), 2233–2244.
  • Enhancing the Physiological and Biochemical Potential of Praecitrullus fistulosus L. through Synergistic Action of Biochar and Zinc Oxide Nanoparticles
    Sana, S., Binyamin, A., Ramzan, M., Avila-Quezada, G.D., Abd-Allah, E.F. (2024). Journal of Soil Science and Plant Nutrition.
  • Perspectives of Nanoparticles as Priming Agents for Amelioration of Abiotic Stresses in Crops
    Ahmad, Z., Waraich, E.A., Iqbal, M.A., Ahmed, S., Bano, S. (2024). In The Nanotechnology Driven Agriculture: The Future Ahead (pp. 117–137).
  • Prospects of Nanotechnology for Abiotic and Biotic Stresses Amelioration in Field Crops
    Ahmad, Z., Waraich, E.A., Barutçular, C., Ahmad, M., Bano, S. (2024). In The Nanotechnology Driven Agriculture: The Future Ahead (pp. 67–84).
  • Effect of Form of Silicon and the Timing of a Single Foliar Application on Sugar Beet Yield
    Siuda, A., Artyszak, A., Gozdowski, D., Ahmad, Z. (2024). Agriculture (Switzerland), 14(1), 86.
  • Ecofriendly Management of Insect Pests for Sustainable Agriculture
    Abbasi, A., Asif, A., Ahmad, Z., Saleha, A., Zafar, Z. (2023). In Climate-Resilient Agriculture, Volume 2, pp. 931–957. (1 Citation)
  • Climate Change and Global Crop Production
    Ahmad, Z., Ahmad, T., Abbasi, A., Sana, S., Jameel, J. (2023). In Climate-Resilient Agriculture, Volume 1, pp. 27–56. (1 Citation)
  • Silicon-Mediated Growth, Physiological, Biochemical and Root Alterations to Confer Drought and Nickel Stress Tolerance in Maize (Zea mays L.)
    Ishaq, H., Waraich, E.A., Hussain, S., Ahmad, Z., Saifullah. (2023). Silicon, 15(15), 6579–6589. (1 Citation)

 

 

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

 

Monika Skowrońska | Agricultural | Best Researcher Award

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Assoc Prof Dr Monika Skowrońska |  Agricultural  |  Best Researcher Award

PhD, DSc, Assoc. Prof. at  Department of Agricultural and Environmental Chemistry, University of Life Sciences in Lublin, Poland

Dr. Monika Skowrońska is an accomplished academic and researcher specializing in agricultural and environmental chemistry. With over two decades of experience at the University of Life Sciences in Lublin, she has progressed from a Teaching and Research Assistant in 1997 to her current position as an Associate Professor, a role she has held since 2019.

 

Profile:

Education and Training:

2019: Doctor habilitatus (Post-doctoral Degree). 2009: Post-graduate studies in Management of research projects and development work, Catholic University of Lublin. 2003: Ph.D. in Agricultural Sciences, University of Life Sciences in Lublin. 1998: Post-graduate studies in Management and Marketing, Technical University of Lublin. 1997: M.Sc. in Environmental Protection, University of Life Sciences in Lublin

Professional Experience:

2024-present: Project Manager, Healthy Soil Chemistry (SOSoil), HuMUS project. 2023-present: Task Manager, REDUCOST, National Fund for Environmental Protection and Water Management. Various roles as an expert and project partner with entities like the European Green Deal, WWF, and the European Agricultural Fund for Rural Development.

Honours and Awards:

Multiple Rector’s Awards for organizational and scientific achievements. Scientific award for her book on soil acidification and liming. OECD Fellowship and the prestigious Dr. and Mrs. A. S. Dekaban Foundation Scholarship

Agricultural Research Focus:

Dr. Monika Skowrońska is an expert in agricultural and environmental chemistry, with a particular focus on sustainable agricultural practices, soil chemistry, and nutrient management. Her research spans various critical areas:

  1. Soil Chemistry and Health:
    • Soil Acidification and Liming: Dr. Skowrońska has conducted extensive research on soil acidification and its mitigation through liming, which earned her a scientific award in the Lublin region.
    • Healthy Soil Chemistry: Currently, she leads the “Healthy Soil – Healthy Soil Chemistry (SOSoil)” project, which is part of the broader HuMUS project aimed at promoting healthy municipal soils.
  2. Nutrient Management:
    • Carbon and Nitrogen Cycles: She has managed projects investigating the transformation processes of nitrogen and carbon in soil, focusing on the effects of organic waste and plant residue applications.
    • Fertilizer Development: Dr. Skowrońska has worked on developing environmentally friendly fertilizers, including technologies for producing potassium thiosulphate and multi-component fertilizers.
  3. Climate Change Mitigation:
    • Adaptation Practices: As an expert for the World Wildlife Fund (WWF), she has analyzed the economic and environmental value of adaptation and mitigation practices to address climate change.
    • Climate Care Cattle Farming System: She contributed to the CCCFarming project, which integrates climate-friendly practices in cattle farming.
  4. Pollution Reduction:
    • Air Pollution Emissions: Dr. Skowrońska is involved in the REDUCOST project, which assesses the potential for reducing air pollution emissions from agricultural practices, considering technical, financial, and social aspects.
  5. Sustainable Agriculture:
    • Low-Workload Systems: She has been a main contractor for projects developing low-workload and environment-friendly fertilization systems, particularly for crops like maize.
  6. International Collaboration:
    • Global Networks: Dr. Skowrońska is an active member of international networks and working groups, such as the Coalition of Action 4 Soil Health (CA4SH) and the European Compost Network, contributing to global efforts in sustainable agriculture and soil health.

Through her comprehensive research, Dr. Skowrońska aims to enhance sustainable agricultural practices, improve soil health, and mitigate the environmental impacts of farming, thus contributing significantly to the field of agricultural and environmental chemistry.

Citations:

  • Citations: 335 citations by 331 documents.
  • Publications: 22 documents.
  • h-index: 8 (indicating significant influence in her field).

Publication Top Notes:

  • The mineral fertilizer-dependent chemical parameters of soil acidification under field conditions
    • Authors: Tkaczyk, P., Mocek-Płóciniak, A., Skowrońska, M., Kuśmierz, S., Zawierucha, E.
    • Journal: Sustainability (Switzerland), 2020, 12(17), 7165
    • Citations: 20
    • Summary: This open-access article examines the effects of mineral fertilizers on soil acidification under field conditions. It provides insights into how different fertilizers impact soil chemistry and the long-term implications for soil health.
  • Hemp-based phytoaccumulation of heavy metals from municipal sewage sludge and phosphogypsum under field conditions
    • Authors: Zielonka, D., Szulc, W., Skowrońska, M., Rutkowska, B., Russel, S.
    • Journal: Agronomy, 2020, 10(6), 907
    • Citations: 13
    • Summary: This open-access study explores the use of hemp for the phytoaccumulation of heavy metals from municipal sewage sludge and phosphogypsum. The research highlights hemp’s potential for environmental remediation.
  • An integrated assessment of the long-term impact of municipal sewage sludge on the chemical and biological properties of soil
    • Authors: Skowrońska, M., Bielińska, E.J., Szymański, K., Antonkiewicz, J., Kołodziej, B.
    • Journal: Catena, 2020, 189, 104484
    • Citations: 52
    • Summary: This article provides an in-depth assessment of the long-term effects of municipal sewage sludge on soil properties. It discusses both chemical and biological changes in soil, offering valuable data for sustainable soil management practices.
  • Cultivar and foliar feeding of plants as factors determining the chemical composition of spelt (Triticum aestivum ssp. spelta L.) grain
    • Authors: Andruszczak, S., Kraska, P., Kwiecińska-Poppe, E., Skowrońska, M.
    • Journal: Applied Ecology and Environmental Research, 2020, 18(2), pp. 2949–2958
    • Citations: 1
    • Summary: This open-access study investigates how different cultivars and foliar feeding methods influence the chemical composition of spelt grain. It offers practical insights for improving crop quality and nutritional value.