P
Parvej Hasan Jon
Researcher
faculty
Food Science
5 h-index
8 pubs
57 cited
Research Areas
Biography and Research Information
OverviewAI-generated summary
Parvej Hasan Jon's research focuses on the application of advanced computational methods and green extraction techniques in food science. He has investigated the use of neural networks, including convolutional neural networks (CNNs), for the automated detection of tea leaf diseases, contributing to agricultural diagnostics. His work also explores optimizing extraction processes for bioactive compounds from plant materials such as watermelon rinds, citrus lemon peel, and pineapple peels. These extraction methods often involve hybrid techniques like sequential ultrasound-microwave assistance and response surface methodology (RSM).
Furthermore, Jon is involved in developing biodegradable packaging films derived from natural sources like watermelon rind pectin and pineapple peel nanocellulose. He also studies the creation of edible coatings using alginate, guar gum, and pectin to extend the shelf life of fruits like strawberries. His research incorporates machine learning for optimizing these food preservation and packaging solutions. Jon's scholarship metrics include an h-index of 5, with 8 total publications and 49 citations.
Metrics
- h-index: 5
- Publications: 8
- Citations: 57
Selected Publications
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Machine learning-based optimization of alginate, guar gum, and pectin-based edible coatings for extended strawberry shelf life (2025)
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Optimization of hybrid green extraction techniques for bioactive compounds from citrus lemon peel using response surface methodology (RSM) and artificial neural network (ANN) (2025)
Collaboration Network
Top Collaborators
Iftekhar Ahmad
Shahjalal University of Science and Technology (BD)
5 shared publications
- Automated detection of selected tea leaf diseases in Bangladesh with convolutional neural network
- Machine learning-based optimization of alginate, guar gum, and pectin-based edible coatings for extended strawberry shelf life
- Automated Detection of Selected Tea Leaf Diseases by Digital Image Processing Using Convolutional Neural Network (CNN): Bangladesh Perspective
- Evaluation of the Current Situation of Tea Production and Consumption in Bangladesh Through Different Statistical Models
- Machine Learning-Based Optimization of Alginate, Guar Gum, and Pectin-Based Edible Coatings for Extended Strawberry Shelf Life
Md. Sumon Miah
Shahjalal University of Science and Technology (BD)
3 shared publications
- Extraction of pectin from watermelon rinds using sequential ultrasound-microwave technique: Optimization using RSM and ANN modeling and characterization
- Optimization of hybrid green extraction techniques for bioactive compounds from citrus lemon peel using response surface methodology (RSM) and artificial neural network (ANN)
- Biodegradable packaging film from watermelon rind pectin and pineapple peel nanocellulose: Preparation, characterization, and food application
Hafijur Rahman
Shahjalal University of Science and Technology (BD)
2 shared publications
- Automated detection of selected tea leaf diseases in Bangladesh with convolutional neural network
- Automated Detection of Selected Tea Leaf Diseases by Digital Image Processing Using Convolutional Neural Network (CNN): Bangladesh Perspective
Md. Forhad Rabbi
Shahjalal University of Science and Technology (BD)
2 shared publications
- Automated detection of selected tea leaf diseases in Bangladesh with convolutional neural network
- Automated Detection of Selected Tea Leaf Diseases by Digital Image Processing Using Convolutional Neural Network (CNN): Bangladesh Perspective
Abdus Salam
Shahjalal University of Science and Technology (BD)
2 shared publications
- Automated detection of selected tea leaf diseases in Bangladesh with convolutional neural network
- Automated Detection of Selected Tea Leaf Diseases by Digital Image Processing Using Convolutional Neural Network (CNN): Bangladesh Perspective
Jahid Hasan Shourove
2 shared publications
- Extraction of pectin from watermelon rinds using sequential ultrasound-microwave technique: Optimization using RSM and ANN modeling and characterization
- Biodegradable packaging film from watermelon rind pectin and pineapple peel nanocellulose: Preparation, characterization, and food application
Mitu Samadder
Shahjalal University of Science and Technology (BD)
2 shared publications
- Extraction of pectin from watermelon rinds using sequential ultrasound-microwave technique: Optimization using RSM and ANN modeling and characterization
- Biodegradable packaging film from watermelon rind pectin and pineapple peel nanocellulose: Preparation, characterization, and food application
Md. Nazim Uddin Chy
Shahjalal University of Science and Technology (BD)
2 shared publications
- Extraction of pectin from watermelon rinds using sequential ultrasound-microwave technique: Optimization using RSM and ANN modeling and characterization
- Biodegradable packaging film from watermelon rind pectin and pineapple peel nanocellulose: Preparation, characterization, and food application
Rokibul Hasan Fahim
Shahjalal University of Science and Technology (BD)
2 shared publications
- Extraction of pectin from watermelon rinds using sequential ultrasound-microwave technique: Optimization using RSM and ANN modeling and characterization
- Biodegradable packaging film from watermelon rind pectin and pineapple peel nanocellulose: Preparation, characterization, and food application
G. M. Rabiul Islam
2 shared publications
- Extraction of pectin from watermelon rinds using sequential ultrasound-microwave technique: Optimization using RSM and ANN modeling and characterization
- Biodegradable packaging film from watermelon rind pectin and pineapple peel nanocellulose: Preparation, characterization, and food application
Saklain Niam
Shahjalal University of Science and Technology (BD)
2 shared publications
- Machine learning-based optimization of alginate, guar gum, and pectin-based edible coatings for extended strawberry shelf life
- Machine Learning-Based Optimization of Alginate, Guar Gum, and Pectin-Based Edible Coatings for Extended Strawberry Shelf Life
Md. Abu Rayhan
2 shared publications
- Machine learning-based optimization of alginate, guar gum, and pectin-based edible coatings for extended strawberry shelf life
- Machine Learning-Based Optimization of Alginate, Guar Gum, and Pectin-Based Edible Coatings for Extended Strawberry Shelf Life
Sajid Mahmood
Shahjalal University of Science and Technology (BD)
2 shared publications
- Machine learning-based optimization of alginate, guar gum, and pectin-based edible coatings for extended strawberry shelf life
- Machine Learning-Based Optimization of Alginate, Guar Gum, and Pectin-Based Edible Coatings for Extended Strawberry Shelf Life
Md. Monir Ahmed
2 shared publications
- Machine learning-based optimization of alginate, guar gum, and pectin-based edible coatings for extended strawberry shelf life
- Machine Learning-Based Optimization of Alginate, Guar Gum, and Pectin-Based Edible Coatings for Extended Strawberry Shelf Life
Md. Abdus Salam
Shahjalal University of Science and Technology (BD)
1 shared publication
- Evaluation of the Current Situation of Tea Production and Consumption in Bangladesh Through Different Statistical Models
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