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.

 

 

Jianguo Wu | Agricultural Intelligent Equipment | Best Researcher Award

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Mr Jianguo Wu |  Agricultural Intelligent Equipment | Best Researcher Award

Postgraduate at  Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, China

Jianguo Wu, a graduate student specializing in agricultural intelligent equipment, is currently affiliated with the Precision Pesticide Application Department at the Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences. Born on March 16, 1995, Jianguo began his master’s degree in Mechanical Engineering at the College of Mechanical and Electrical Engineering, Xinjiang Agricultural University in September 2021. His academic journey led him to joint training at the Intelligent Equipment Research Center from June 2022 to June 2024, focusing on designing a spray boom height control system for sprayers.

 

Profile:

Educational Journey:

🎓 Master’s in Mechanical Engineering from the College of Mechanical and Electrical Engineering, Xinjiang Agricultural University (commenced in September 2021). 📚 Joint Training at the Intelligent Equipment Research Center from June 2022 to June 2024.

Professional Experience:

📝 Published two core papers in Chinese. 🌐 Published one JCR Q1 paper. 🏆 Holder of a Chinese invention patent and a computer software copyright.

Achievements:

  • 📈 H-index and Cumulative Impact Factor: 6.342.
  • 🏅 Received 4 awards and recognitions.
  • 👥 Active member of 40 professional bodies.

Jianguo Wu’s research and innovations significantly contribute to advancing agricultural intelligent equipment technology, making strides toward the future of autonomous farming. 🌾🔧

Research Focus in Agricultural Intelligent Equipment:

Jianguo Wu’s research focuses on advancing Agricultural Intelligent Equipment, particularly specializing in the precision and efficiency of pesticide application. His work, based at the Intelligent Equipment Research Center of the Beijing Academy of Agriculture and Forestry Sciences, centers on developing innovative systems for spray boom height control in agricultural sprayers. Through his expertise, Jianguo aims to enhance the automation and effectiveness of farming practices, contributing to sustainable agricultural solutions and improved crop yield management.

Publication:

Model for Detecting Boom Height Based on an Ultrasonic Sensor for the Whole Growth Cycle of Wheat Agriculture, 2023-12-22 | Journal Article DOI: 10.3390/agriculture14010021

Muhammad Faheem | Robotics in Agriculture | Best Researcher Award

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Dr Muhammad Faheem |  Robotics in Agriculture | Best Researcher Award

Assistant Executive Engineer at  University of Agriculture, Faisalabad, Pakistan

Dr. Muhammad Faheem is a distinguished academic and professional in the field of Agricultural Engineering. Born on June 10, 1987, in Pakistan, he holds a PhD in Agricultural Engineering from Jiangsu University, China, completed in 2022. Dr. Faheem earned his M.Sc. (Hons.) and B.Sc. (Hons.) degrees from the University of Agriculture, Faisalabad, in 2013 and 2010 respectively.

 

Profile:

Academic Qualifications:

PhD in Agricultural Engineering (2022): Jiangsu University, China 🇨🇳. M.Sc. (Hons.) in Agricultural Engineering (2013): University of Agriculture, Faisalabad, Pakistan. B.Sc. (Hons.) in Agricultural Engineering (2010): University of Agriculture, Faisalabad, Pakistan. F.Sc. (Pre-Engineering) (2005): B.I.S.E. Bahawalpur, Pakistan. Matriculation (2003): B.I.S.E. Bahawalpur, Pakistan

Professional Experience:

Assistant Executive Engineer/Lecturer (2013-present): Department of Farm Machinery & Power, University of Agriculture, Faisalabad 🌾🏫 Construction Supervisor (2010): SAREMCO International (Private Limited), Lahore

Awards & Honors:

National Idea Bank (NIB) Pakistan City and Provincial winner 🏆 First Prize in Robotic Agriculture and Second Prize in Solar Thermal Concentrators at Jiangsu University, China 🥇🥈 Best Oral Presentation at the 5th International Conference on Renewable Energy, Bangkok, Thailand 🎤

Research Focus: Robotics in Agriculture

Dr. Muhammad Faheem’s research in Robotics in Agriculture centers on leveraging automation and robotics technologies to enhance agricultural productivity and efficiency. Key aspects of his research include:

1. Vibration Feature Analysis for Robotic Harvesting:

  • PhD Thesis: “Vibration Feature Analysis of Grape Cluster in Different Stages for Robotic Harvesting” explores the use of robotic systems to identify optimal harvesting times by analyzing the vibration features of grape clusters at various growth stages. This research aims to improve the precision and efficiency of robotic harvesting systems.

2. Development of Robotic Harvesting Systems:

  • Dr. Faheem is involved in the design and development of robotic systems capable of performing tasks such as fruit picking and crop monitoring. His work aims to reduce labor costs and increase the speed and accuracy of harvesting processes.

3. Automation and Control Engineering:

  • His expertise extends to automation and control engineering, where he develops and implements control systems for agricultural robots. These systems enhance the ability of robots to perform complex tasks in dynamic farm environments.

4. Integration of Sensor Technologies:

  • Dr. Faheem integrates advanced sensor technologies into agricultural robots to improve their environmental perception and decision-making capabilities. This includes the use of cameras, LIDAR, and other sensors to enable precise navigation and task execution.

5. Publications and Contributions:

  • Dr. Faheem has published nearly 40 peer-reviewed research articles with a significant focus on robotics in agriculture. His research contributions are well-cited, reflecting the impact of his work in this field.

6. Awards and Recognition:

  • He has won several awards for his research in robotics in agriculture, including First Prize in the field of Robotic Agriculture at the 19th Simulated International Conference Communication Contest held at Jiangsu University, China.

Citations:

  • Total Citations: 608
  • Citations Since 2019: 595
  • h-index: 12
  • i10-index: 13
Publication:
  • CNN based automatic detection of photovoltaic cell defects in electroluminescence images
    • Published in Energy, 2019
    • Citations: 211
  • Different sensor based intelligent spraying systems in Agriculture
    • Published in Sensors and Actuators A: Physical, 2020
    • Citations: 69
  • Ultra-high temperature aerobic fermentation pretreatment composting: Parameters optimization, mechanisms and compost quality assessment
    • Published in Journal of Environmental Chemical Engineering, 2021
    • Citations: 56
  • Experimental and theoretical analysis of fruit plucking patterns for robotic tomato harvesting
    • Published in Computers and Electronics in Agriculture, 2020
    • Citations: 37
  • Seed coating technology: An innovative and sustainable approach for improving seed quality and crop performance
    • Published in Journal of the Saudi Society of Agricultural Sciences, 2022
    • Citations: 30
  • A review on mathematical modeling of in-vessel composting process and energy balance
    • Published in Biomass Conversion and Biorefinery, 2020
    • Citations: 26
  • Different real-time sensor technologies for the application of variable-rate spraying in agriculture
    • Published in Sensors and Actuators A: Physical, 2020
    • Citations: 25