Osama Mohamed Abdelsalam Elsherbiny | Computer Science

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Osama Mohamed Abdelsalam Elsherbiny – Computer Science

🎉 Congratulations, Dr. Osama Elsherbiny!

👨‍🎓 Your journey from a Bachelor’s degree to earning a Ph.D. is truly commendable. 🌟 Your dedication and hard work in the field of Agricultural Engineering and Bio-system Engineering have propelled you to new heights.

📚 Your extensive research and numerous publications showcase your commitment to advancing knowledge in areas such as Modelling, Machine Learning, and Precision Irrigation. 🌱 Your contributions to journals like Computers and Electronics in Agriculture and Remote Sensing highlight your impact on these fields.

🏆 As an Assistant Professor at Mansoura University, your influence on the next generation of agricultural engineers is invaluable. 🌍 Your international experience, including your Ph.D. from Zhejiang University, China, reflects a global perspective in your academic journey.

🔍 Your proficiency in languages, including English, Arabic, French, and Chinese, adds a unique dimension to your ability to connect with a diverse audience. 🤝

🚀 Keep soaring higher, inspiring others with your passion for research and education. Your accomplishments are not just milestones but a testament to your relentless pursuit of excellence.

👏 Here’s to your continued success and the positive impact you make in the world of Agricultural Engineering! 🌾🌟

 

👨‍🏫 Osama Mohamed Abdelsalam Elsherbiny

🎓 Education:

  • PhD in Bio-system Engineering and Food Science
    • Zhejiang University, China (Jun-2022)
  • Master of Science in Agricultural Engineering
    • Mansoura University, Egypt (Jun-2017)
  • Bachelor of Science in Agricultural Engineering
    • Mansoura University, Egypt (Jul-2011)

👨‍💼 Work Experience:

  • Assistant Professor
    • Agricultural Engineering Dep., Faculty of Agriculture, Mansoura University (Aug-2022 to Present)
  • Assistant Lecturer
    • Agricultural Engineering Dep., Faculty of Agriculture, Mansoura University (Sep-2017 to Aug-2022)
  • Demonstrator
    • Agricultural Engineering Dep., Faculty of Agriculture, Mansoura University (Mar-2013 to Sep-2017)

📚 Teaching:

  • Modern irrigation system design
  • Hydraulics and Hydraulic Machinery
  • Irrigation and drainage engineering
  • Engineering drawing
  • Introduction to agricultural engineering
  • Applied mathematics for farmers

🔧 Seminar Topics:

  • Planning and designing for sprinkler irrigation systems
  • Planning and designing for trickle irrigation systems
  • Using programming in irrigation networks design
  • Management and maintenance for irrigation systems
  • Fluid mechanics and Hydraulic machines
  • Mechanical drawing

📑 Participation in Journals:

  • Journal of Environmental Science & Ecology
  • Advances in Agricultural Technology & Plant Sciences
  • American Journal of Remote Sensing
  • Applied Artificial Intelligence (Taylor & Francis)

🔍 Research Experience:

  • Master’s: Programming technology for optimal design of micro-irrigation systems
  • PhD: Monitoring crop water status for smart irrigation decisions using imaging sensors and AI algorithms

🎓 Certifications:

  • TOEFL
  • Landscape design
  • Programming language (Python and Oracle)
  • Standards of quality in the teaching process
  • Ethics of scientific research
  • The behavior of the profession
  • Use of technology in teaching
  • Financial and legal aspects in university business
  • Local and global competitive research projects

📖 Publications (Selected):

  1. A Novel Hybrid Deep Network For Diagnosing Water Status In Wheat Crop Using IoT-Based Multimodal Data (2022)
  2. Assessing the Efficiency of Remote Sensing and Machine Learning Algorithms to Quantify Wheat Characteristics in the Nile Delta Region of Egypt (2022)
  3. Environmental Assessment of Potentially Toxic Elements Using Pollution Indices and Data-Driven Modeling in Surface Sediment of the Littoral Shelf of the Mediterranean Sea Coast and Gamasa Estuary, Egypt (2022)
  4. Utilization of Pollution Indices, Hyperspectral Reflectance Indices, and Data-Driven Multivariate Modeling to Assess the Bottom Sediment Quality of Lake Qaroun, Egypt (2022)
  5. Integration of Visible and Thermal Imagery with an Artificial Neural Network Approach for Robust Forecasting of Canopy Water Content in Rice (2021)

🔬 Research Interests:

  • Modelling and Simulation
  • Machine Learning
  • Deep Learning
  • IoT Sensors
  • Precision Irrigation
  • Remote Sensing
  • Imaging Technology (RGB, thermal, and hyperspectral images)
  • Irrigation and Drainage Engineering

🛠 Skills:

  • AI Researcher
  • Python (Keras, Tensorflow, Google Colab, Jupyter Notebook, Kaggle)
  • Modeling and analysis software
  • English communication and technical report writing
  • Analytical capabilities
  • Leadership and influencing skills
  • Data analysis and optimization algorithms

🌐 Languages:

  • English (full professional proficiency)
  • Arabic (native)
  • French (acceptable)
  • Chinese (acceptable)

Professional Profile

ORCID

Google Scholar