Assist. Prof. Dr. Hossein Bagherpour | Machine Learning Awards | Best Researcher Award

Assist. Prof. Dr. Hossein Bagherpour | Machine Learning Awards | Best Researcher Award

Assist. Prof. Dr. Hossein Bagherpour, Department of Biosystems Engineering, Bu-Ali Sina Universit, Iran

Dr. Hossein Bagherpour is an accomplished Assistant Professor in the Department of Biosystems Engineering at Bu-Ali Sina University, where he has served since 2013. Holding a Ph.D. and M.Sc. in Biosystems and Agricultural Machinery Engineering from Tarbiat Modares University and a B.Sc. in Mechanical Engineering from the University of Tehran, his interdisciplinary expertise bridges advanced engineering with agricultural innovation. Dr. Bagherpour is a leading researcher in the application of artificial intelligence and machine vision in precision agriculture, with a focus on plant disease detection, crop quality assessment, and robotic harvesting. He has supervised multiple Ph.D. and M.Sc. theses on deep learning, image processing, and AI-driven diagnostics for crops like rose, wheat, hazelnut, and quince. His contributions significantly advance smart farming technologies, offering solutions for enhanced productivity and sustainable agriculture in small and large-scale systems.

Professional Profile:

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Summary of Suitability for Best Researcher Award – Dr. Hossein Bagherpour

Dr. Hossein Bagherpour is an exemplary candidate for the Best Researcher Award, recognized for his pioneering work at the intersection of biosystems engineering, artificial intelligence, and precision agriculture. As an Assistant Professor at Bu-Ali Sina University since 2013, Dr. Bagherpour has made significant contributions to the development and application of intelligent systems in agricultural automation and food quality assessment.

πŸŽ“ Education

  • πŸ§ͺ Ph.D. in Biosystems Engineering – Tarbiat Modares University, Tehran, Iran

  • 🚜 M.Sc. in Agricultural Machinery Engineering – Tarbiat Modares University, Tehran, Iran

  • βš™οΈ B.Sc. in Mechanical Engineering (Design of Machinery) – University of Tehran, Tehran, Iran

🏒 Work Experience

  • πŸ‘¨β€πŸ« Assistant Professor, Department of Biosystems Engineering, Bu-Ali Sina University (2013–Present)

    • πŸ“ Faculty of New Agriculture, Room 207

    • πŸ“ Business Incubator Center No. 2, Room 7

πŸ† Achievements & Contributions

  • πŸ“Š Supervised numerous Ph.D. and M.Sc. theses focusing on AI, deep learning, and smart agricultural systems

  • πŸ€– Developed algorithms for robotic harvesting, crop disease detection, and quality inspection using machine learning and computer vision

  • πŸ“š Published multiple research papers (see Google Scholar) in areas such as AI-based phenotyping, intelligent sensors, and agricultural robotics

πŸŽ– Awards & Honors

  • 🌟 Recognized for advancing smart agriculture through AI integration

  • 🧠 Leader in AI-driven research in agricultural biosystems

PublicationΒ Top Notes:

Hyperparameter Optimization of ANN, SVM, and KNN Models for Classification of Hazelnuts Images Based on Shell Cracks and Feature Selection Method

Enhancing the Performance of YOLOv9t Through a Knowledge Distillation Approach for Real-Time Detection of Bloomed Damask Roses in the Field

Development and Optimization of a Novel Deep Learning Model for Diagnosis of Quince Leaf Diseases

Detection of different adulteration in cinnamon powder using hyperspectral imaging and artificial neural network method

Design, Construction, and Evaluation of a Precision Vegetable Reaper to Use in Small Plots

A New Method to Optimize Deep CNN Model for Classification of Regular Cucumber Based on Global Average Pooling

Assoc. Prof. Dr. Waleed Mahmoud Elsayed | Machine learning Awards | Best Researcher Award

Assoc. Prof. Dr. Waleed Mahmoud Elsayed | Machine learning Awards | Best Researcher AwardΒ 

Assoc. Prof. Dr. Waleed Mahmoud Elsayed, Beni-suef university, Saudi Arabia

Dr. Waleed Mahmoud Ead is an accomplished Assistant Professor in the Faculty of Computing and Information at Al-Baha University, Saudi Arabia, with over 15 years of experience in digital business transformation, data science, and applied research. He holds a Ph.D. in Computers and Informatics from Menoufia University, Egypt, where he focused on privacy-preserving techniques in social networks. Throughout his career, Dr. Ead has developed expertise in business intelligence, data mining, machine learning, cloud computing, and big data analytics, and he is SAS-certified in multiple disciplines, including machine learning and visual analytics. His research interests span social network analysis, distributed databases, precision medicine, and cybersecurity. He has served in various academic roles across prominent Egyptian institutions and has co-supervised doctoral and master’s research in genetics, AI, and privacy in healthcare. A dedicated peer reviewer for renowned journals such as Springer Nature and Inderscience, Dr. Ead is also an active contributor to academic conferences and international workshops. Beyond academia, he is a technology enabler, STEM judge, and entrepreneur, with projects focused on sustainable agriculture and digital innovation.

Professional Profile:

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βœ… Summary of Suitability for Best Researcher Award: Dr. Waleed Mahmoud Ead

Dr. Waleed Mahmoud Ead is highly suitable for the Best Researcher Award, given his exceptional combination of research depth, academic leadership, interdisciplinary engagement, and societal impact. His qualifications are supported by the following key strengths

πŸŽ“ Education

  • πŸ₯‡β€―2004: B.Sc. (Honor) in Information and Technology Systems – Zagazig University, Egypt

  • πŸ“šβ€―2012: M.Sc. in Computers and Informatics – Menoufia University, Egypt
    β€ƒβ€ƒπŸ“˜ Thesis: “Developing an Intelligent Technique in Web Mining”

  • πŸŽ“β€―2018: Ph.D. in Computers and Informatics – Menoufia University, Egypt
    β€ƒβ€ƒπŸ“— Thesis: “Privacy Preserving in Social Networks”

πŸ‘¨β€πŸ« Academic Work Experience

  • πŸ‡ΈπŸ‡¦β€―2024–Present: Assistant Professor, Faculty of Computing and Information – Al-Baha University, Saudi Arabia

  • πŸ‡ͺπŸ‡¬β€―2022–2023: Assistant Professor, CSIT – Egypt-Japan University of Science and Technology

  • πŸ‡ͺπŸ‡¬β€―2018–2022: Assistant Professor, Faculty of Computers & AI – Beni-Suef University

  • πŸ‡ͺπŸ‡¬β€―2015–2018: Lecturer Associate, Faculty of Information Technology – MUST University

  • πŸ‡ͺπŸ‡¬β€―2014: Lecturer Associate, Faculty of Computers & Information – Beni-Suef University

  • πŸ‡ͺπŸ‡¬β€―2012: Lecturer Associate, CSC – October 6 University

  • πŸ‡ͺπŸ‡¬β€―2006–2012: Teaching Assistant, CSC – October 6 University

πŸ† Achievements & Honors

  • 🧠 SAS Certified: Machine Learning, Visual Analytics, Business Planning

  • πŸ’‘ Developed systems for international conferences

  • 🌍 Peer Reviewer for top journals & publishers (Inderscience, Springer, EAI, etc.)

  • 🧬 Co-supervisor for Ph.D. and Master’s students in AI, bioinformatics, and precision medicine

  • πŸ₯‡ Honor degree in B.Sc.

  • πŸ‘©β€βš– STEM Judge: INTEL ISEF & Graduation Projects

  • πŸ’Ό Speaker and participant in events by DAAD, UNESCO, Microsoft, SAS, Oracle

  • 🌱 Founder of IGreen (Intelligent Adaptive Environmental Farm)

  • πŸš€ Participated in entrepreneurship programs (Start Egypt, Flat6Labs)

  • 🧭 Bridging analytics and IT knowledge for social development

PublicationΒ Top Notes:

An Optimized Hierarchal Cluster Formation Approach for Management of Smart Cities

ODCS: On-Demand Hierarchical Consistent Synchronization Approach for the IoT

A General Cyber Hygiene Approach for Financial Analytical Environment

Feedforward Deep Learning Optimizer-based RNA-Seq Women’s cancers Detection with a hybrid Classification Models for Biomarker Discovery

Semantic Sentiment Classification for COVID-19 Tweets Using Universal Sentence Encoder

Automated Prediction of Employee Attrition Using Ensemble Model Based on Machine Learning Algorithms