Hicham Fatnassi | Protected Agriculture | Best Researcher Award

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Dr Hicham Fatnassi | Protected agriculture | Best Researcher Award

Senior horticulture scientist at  research for Agriculture, Food and Environment – INRAE, France

Dr. Hicham Fatnassi is a Senior Horticulture Scientist at the International Center for Biosaline Agriculture (ICBA) in Dubai, UAE, since January 2021. He holds a Ph.D. in environmental physics applied to greenhouse climate characterization and modelling, obtained through a joint supervision from INRAE Avignon, France, and Ibn Zohr University, Agadir, Morocco.

 

Publication Profile:🌟👨‍🎓

📚 Education:

  • Ph.D. in environmental physics applied to greenhouse climate characterization and modeling.
  • Dissertation under co-supervision of INRAE Avignon, France, and Ibn Zohr University, Agadir, Morocco.

👨‍🔬 Work Experience:

  • Senior Horticulture Scientist at ICBA, Dubai, UAE (Jan 2021 – Present)
  • Doctor Engineer at INRAE, Sophia-Antipolis, France (Aug 2002 – Dec 2020)

🔬 Research Activities:

  • Over 23 years of experience in designing environmentally sustainable greenhouse systems.
  • Expert in Computational Fluid Dynamic models for optimizing greenhouse ventilation.
  • Specialized in microclimate and pest interactions for greenhouse management.
  • Focus on climate control in greenhouses with insect-proof screens.
  • Pioneering work in the design and optimization of photovoltaic greenhouses.

 

Research Focus:

Dr. Hicham Fatnassi is a distinguished Senior Horticulture Scientist 🌿 with a research focus on advancing greenhouse technologies and closed plant growth systems. His expertise lies in utilizing Computational Fluid Dynamic (CFD) tools to model the intricate coupling of plant canopy activity and climate in controlled environments. Dr. Fatnassi’s contributions span diverse areas, from optimizing microclimates in greenhouses with thermal storage systems to modeling the impact of algae production raceway ponds on greenhouse microclimates. He also explores the study of microclimate and plant transpiration in various greenhouse setups, including citrus tunnel greenhouses. His innovative work integrates sustainable practices and cutting-edge technologies to enhance plant growth environments.

 

Citations:

Dr. Hicham Fatnassi’s research impact, as reflected in citations and indices, showcases his significant contributions to the scientific community:

📚 Citations:

  • All-time: 2463
  • Since 2019: 1418

🌐 h-index:

  • All-time: 26
  • Since 2019: 21

🔍 i10-index:

  • All-time: 39
  • Since 2019: 31

These metrics underscore Dr. Fatnassi’s substantial influence and recognition within his field, emphasizing the widespread acknowledgment and utilization of his research by peers and scholars.

 

Publications Top Notes:

 

 

Mohammad Hasheminejad | Plant disease | Best Researcher Award

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Dr  Mohammad Hasheminejad | Plant disease | Best Researcher Award

Assistant Professor at  University of Jiroft, Iran

Dr. Mohammad Hasheminejad is an accomplished Assistant Professor and Electrical Engineer with a Ph.D. in Electronic Engineering-Telecommunication. Born on September 1, 1981, in Iran, he currently holds a faculty position at the University of Jiroft. Dr. Hasheminejad is recognized for his extensive expertise in computer vision and machine learning, particularly in the development of sophisticated systems such as object recognition and face recognition-powered surveillance camera management.

 

Publication Profile:🌟👨‍🎓

Education:

High school: Mathematics and Physics, Allame Helli, Kerman, Iran. Bachelor: Biomedical Engineering, Isfahan University, Isfahan, Iran. Masters: Electrical Engineering-Electronic, Malek-Ashtar University of Technology, Tehran, Iran. Ph.D.: Electronic Engineering-Telecommunication, University of Birjand

💼 Work Experience:

  • University of Jiroft (Assistant Professor)
    • Conducted multidisciplinary machine learning research with 11 scholarly articles and 7 conference presentations.
    • Developed and taught innovative undergraduate and graduate courses, fostering critical thinking.
    • Collaborated on securing research grants, leading to safety improvements in the electric power distribution industry.
    • Mentored students, guiding them to successful graduate programs and competitive job placements.
  • FajrShahed Company (Biomedical Engineer)
    • Installed and configured medical equipment, ensuring compliance with industry standards.
    • Trained healthcare professionals on equipment use and maintenance, optimizing functionality.
    • Provided technical support, resolving equipment-related issues promptly.
    • Collaborated with interdisciplinary teams to enhance medical equipment solutions.

🔧 Skills:

  • Research: Professional
  • Teaching: Professional
  • Python Programming: Professional
  • Electrical Engineering: Professional

 

Research Focus:

👨‍🔬 Dr. Mohammad Hasheminejad is a distinguished researcher with a focus on diverse domains within Electrical Engineering and Information Systems. His extensive contributions encompass adaptive ensemble classification for text-independent speaker verification, frame-level sparse representation classification, and sample-specific late classifier fusion for speaker verification. Dr. Hasheminejad’s expertise extends to fast automatic face recognition using GAW-KNN and optimized kernel nonparametric weighted feature extraction for hyperspectral image classification. He has made significant strides in interdisciplinary research, notably in areas such as tomato disease recognition and the emission and transport of dust particles in the Jazmurian region. His work reflects a commitment to advancing knowledge in climatology, image processing, and environmental monitoring. 🌐📊🔍

 

Publications Top Notes:
  1. Sheikh-Hosseini, M., Hasheminejad, M., Rahdari, F. (2023). “Linear precoder design for peak-to-average power ratio reduction of generalized frequency division multiplexing signal using gradient descent methods.” Transactions on Emerging Telecommunications Technologies, 34(2), e4698.
  2. Astani, M., Hasheminejad, M., Vaghefi, M. (2022). “A diverse ensemble classifier for tomato disease recognition.” Computers and Electronics in Agriculture, 198, 107054.
  3. Mesbahzadeh, T., Miglietta, M.M., Sardoo, F.S., Krakauer, N., Hasheminejad, M. (2022). “Regional Analysis of Dust Day Duration in Central Iran.” Applied Sciences (Switzerland), 12(12), 6248.
  4. Hasheminejad, M. (2022). “Optimized kernel Nonparametric Weighted Feature Extraction for Hyperspectral Image Classification.” Journal of Information Systems and Telecommunication, 10(38), pp. 111–119.
  5. Hasheminejad, M., Farsi, H. (2018). “Sample-specific late classifier fusion for speaker verification.” Multimedia Tools and Applications, 77(12), pp. 15273–15289.