Seyed Mohamad Javidan | Plant Disease Detection | Best Researcher Award

Dr. Seyed Mohamad Javidan | Plant Disease Detection | Best Researcher Award

Dr. Seyed Mohamad Javidan, Tarbiat Modares University, Iran

 

Dr. Seyed Mohamad Javidan is a dedicated researcher and educator in Biosystems Engineering at Tarbiat Modares University, Tehran, Iran. He earned his PhD in 2023 with a focus on diagnosing tomato fungal diseases through image processing. His research interests include plant disease detection, precision agriculture, and biosensor technologies. Dr. Javidan holds several patents, including innovations in agricultural machinery. He has published numerous articles in reputable journals and actively participates in conferences. Fluent in English and Farsi, he also teaches automotive engineering courses, fostering the next generation of engineers. πŸ“šπŸŒΎ

Publication profile

Google Scholar


Education

Dr. Seyed Mohamad Javidan earned his PhD in Biosystems Engineering from Tarbiat Modares University, Tehran, in 2023, with a GPA of 17.33/20. His dissertation focused on “Intelligent Diagnosis of Tomato Common Fungal Diseases Using RGB and Hyperspectral Image Processing.” Prior to that, he completed his Master of Science in Biosystems Engineering at Islamic Azad University of Takestan in 2013, achieving a GPA of 17.78/20 with a thesis on a semi-automatic tomato transplanter. He also holds a Bachelor of Science in Agricultural Machinery from Islamic Azad University of Azadshahr, graduated in 2009 with a GPA of 16.17/20. πŸŽ“πŸŒ±πŸ“š

 

Research Interests

Dr. Seyed Mohamad Javidan’s research interests are centered on innovative solutions in agriculture. He focuses on plant disease detection through image processing and artificial intelligence, utilizing hyperspectral image analysis for enhanced accuracy. His work also explores biosensor technologies for the early detection of plant pathogens, contributing to precision agriculture and smart farming practices. Additionally, he is passionate about robotics in agriculture, aiming to improve efficiency and productivity. His expertise includes the design, construction, testing, and evaluation of agricultural machinery, bridging technology and sustainable farming. πŸŒΏπŸ€–πŸ”¬βœ¨

 

Awards and Recognitions

Dr. Seyed Mohamad Javidan received the prestigious First Place award in the Scientific Competition of EEDE BARTAR for his innovative “Seed Sowing Robot” project at Islamic Azad University of Gorgan in 2021. This recognition highlights his commitment to advancing agricultural technology and showcases his ability to turn visionary ideas into practical solutions. The competition celebrated the best ideas in the field, and Dr. Javidan’s work stood out for its potential impact on enhancing efficiency in agricultural practices. His achievement not only reflects his expertise but also contributes to the future of smart farming. πŸ†πŸŒ±πŸ€–βœ¨

 

Teaching Activities

Dr. Seyed Mohamad Javidan is dedicated to educating future engineers through a diverse curriculum focused on automotive engineering. His teaching activities include courses on the fundamentals of Internal Combustion Engines, Power Generating Technology, and Power Transmission Technology. He also covers specialized topics such as Chassis Technology, Steering and Suspension, as well as Diesel and Gasoline Fuel Systems. Dr. Javidan emphasizes practical skills in General and Technical Drawing, Hydraulic and Pneumatic systems, and Machine Components. His comprehensive approach ensures that students gain both theoretical knowledge and hands-on experience, preparing them for successful careers in engineering. πŸ“šπŸ”§πŸš—βœ¨

 

Conclusion

Dr. Seyed Mohamad Javidan’s extensive educational background, impactful research contributions, innovative patents, and commitment to teaching and mentoring position him as an exceptional candidate for the Best Researcher Award. His work not only advances academic knowledge but also addresses practical challenges in agriculture, making a significant impact on the field.

 

Publication Top Notes

  • Diagnosis of grape leaf diseases using automatic K-means clustering and machine learning 🌱 β€” Cited by: 120, Year: 2023
  • Tomato leaf diseases classification using image processing and weighted ensemble learning πŸ… β€” Cited by: 16, Year: 2024
  • Design, construction and evaluation of semi-automatic vegetable transplanter with conical distributor cup πŸ› οΈ β€” Cited by: 13, Year: 2019
  • A feature selection method using slime mould optimization algorithm in order to diagnose plant leaf diseases πŸ” β€” Cited by: 12, Year: 2022
  • Detection of Cucumber Fruit on Plant Images Using Artificial Neural Network πŸ₯’ β€” Cited by: 12, Year: 2022
  • Detection of Callosobruchus maculatus F. with image processing and artificial neural network 🐞 β€” Cited by: 10*, Year: 2020
  • Diagnosing the spores of tomato fungal diseases using microscopic image processing and machine learning 🌿 β€” Cited by: 9, Year: 2024
  • Design, Construction, and Evaluation of Automated Seeder with Ultrasonic Sensors for Row Detection 🚜 β€” Cited by: 8, Year: 2021
  • A novel approach for automated strawberry fruit varieties classification using image processing and machine learning πŸ“ β€” Cited by: 4, Year: 2024
  • Design and construction of solar seeding robot equipped with row detection technology β˜€οΈ β€” Cited by: 3, Year: 2018

Zaobing Zhu | Agricultural Award | Best Scholar Award

Assist Prof Dr. Zaobing Zhu | Agricultural Award | Best Scholar Award

Assist Prof Dr. Zaobing Zhu, Jiangsu Academy of Agricultural Sciences, China

Based on the information provided, Zaobing Zhu seems like a strong candidate for the Research for Best Scholar Award. Here’s a detailed evaluation of his suitability:

Publication profile

Academic and Professional Background:

Zaobing Zhu holds a Ph.D. in Biology from Shanghai Jiao Tong University, specializing in Molecular Biology, Biochemistry, and plant biotechnology. Over the past five years, he has been a Research Scientist at the Laboratory of Plant Developmental Biology Labs, focusing on gene editing and crop improvement. His expertise includes CRISPR-Cas9 technology, DNA sequencing, and biochemistry. With 15 peer-reviewed publications and notable advancements such as novel DNA identification techniques (e.g., Cas-PfLAM, OPERATOR), Zhu’s contributions are highly regarded in his field.

Contributions:

Zaobing Zhu has significantly advanced rapid and ultra-sensitive diagnostic techniques based on CRISPR/Cas systems, enhancing pathogen detection for plant protection. His developed platforms include Cas-PfLAMP, OPERATOR, Cas-OPRAD, SMART, and Cc-qPCR, demonstrating notable improvements in diagnostic performance. His recent invitation to contribute to a review article inΒ TrAC Trends in Analytical ChemistryΒ highlights his influence in the field of molecular diagnostics.

Publication Top Notes

  • Cas-OPRAD: a one-pot RPA/PCR CRISPR/Cas12 assay for on-site Phytophthora root rot detection – Frontiers in Microbiology, 2024 πŸ“„ DOI: 10.3389/fmicb.2024.1390422
  • One-pot Point-of-Care Nucleic-acid Detection via Padlock DNA Ligation and Rolling Circle Transcription – Research Square, 2024 πŸ“„ DOI: 10.21203/rs.3.rs-3996305/v1
  • Recent Progress in Molecular Diagnostics: The Synergy of Rolling Circle Amplification and CRISPR/Cas Systems (2018-2024) – A Concise Review – TrAC Trends in Analytical Chemistry, 2024 πŸ“„ DOI: 10.1016/j.trac.2024.117902
  • Quadruplex Droplet Digital PCR Assay for Screening and Quantification of SARS-CoV-2 – International Journal of Molecular Sciences, 2024 πŸ“„ DOI: 10.3390/ijms25158157
  • An ultra-sensitive one-pot RNA-templated DNA ligation rolling circle amplification-assisted CRISPR/Cas12a detector assay for rapid detection of SARS-CoV-2 – Biosensors and Bioelectronics, 2023 πŸ“„ DOI: 10.1016/j.bios.2023.115179
  • In vitro Argonaute cleavage-mediated quantitative PCR facilitates versatile CRISPR/Cas-induced mutant analysis – Sensors and Actuators B: Chemical, 2023 πŸ“„ DOI: 10.1016/j.snb.2022.132781
    Cited by: 0
  • One Versatile Cas9-Integrated Single-Tube Duplex Quantitative Real-Time PCR System for Rapid Analysis of CRISPR/Cas-Induced Mutants – Analytical Chemistry, 2022 πŸ“„ DOI: 10.1021/acs.analchem.2c01837
  • PAM-free loop-mediated isothermal amplification coupled with CRISPR/Cas12a cleavage (Cas-PfLAMP) for rapid detection of rice pathogens – Biosensors and Bioelectronics, 2022 πŸ“„ DOI: 10.1016/j.bios.2022.114076
  • Whole-Genome Sequence of Synthesized Allopolyploids in Cucumis Reveals Insights into the Genome Evolution of Allopolyploidization – Advanced Science, 2021 πŸ“„ DOI: 10.1002/advs.202004222
  • Global profiling of lncRNAs expression responsive to allopolyploidization in cucumis – Genes, 2020 πŸ“„ DOI: 10.3390/genes11121500

Conclusion:

Zaobing Zhu’s extensive research contributions, notable publications, and innovative advancements in gene editing and molecular diagnostics make him a highly suitable candidate for the Research for Best Scholar Award. His work not only demonstrates significant academic achievement but also practical applications that advance the field of plant biotechnology.