Sorowar Mahabub - PhD Applicant

Research Work

Accepted Work [will be published soon]

A Modified Transfer Learning-Based Framework for Efficient Food Image Classification

2024 IEEE Conference on Computing, Applications and Systems (COMPAS-2024) | Chittagong, Bangladesh | Sep 2024

Read the Paper at IEEE Xplore [premium] |or| ResearchGate [FREE, if Requested]

1st Author

Vegetable Classification Using Deep Learning Insights from Transfer Learning Models

2024 IEEE Conference on Computing, Applications and Systems (COMPAS-2024) | Chittagong, Bangladesh | Sep 2024

Read the Paper at IEEE Xplore [premium] |or| ResearchGate [FREE, if Requested]

2nd Author

Advancements in Medical Imaging: A Deep Learning Approach for Kidney Disease Classification

2024 IEEE Conference on Computing, Applications and Systems (COMPAS-2024) | Chittagong, Bangladesh | Sep 2024

Read the Paper at IEEE Xplore [premium] |or| ResearchGate [FREE, if Requested]

2nd Author

An Interpretable Skin Cancer Classification Using Optimized Deep Transfer Learning Method

Accepted in 4rd International Conference on Innovations in Science, Engineering and Technology (ICISET-2024) | Chittagong, Bangladesh | Oct 2024

Read the Paper at IEEE Xplore [Upcoming...]|or| ResearchGate [FREE, if Requested]

Co-Author

Predicting Low and Normal Phosphorus Tolerance in Maize Using Advanced Ensemble Classifiers

Accepted in International Conference on Recent Progresses in Science, Engineering & Technology | Rajshahi, Bangladesh | Dec 2024

Read the Paper at IEEE Xplore [Upcoming...]

Corresponding Author

Classifying Heart Diseases: An Ensemble Technique Combining With Federated Learning

Accepted in International Conference on Recent Progresses in Science, Engineering & Technology | Rajshahi, Bangladesh | Dec 2024

Read the Paper at IEEE Xplore [Upcoming...]

Co-Author

A Novel Image-Based Machine Learning Approach for Feature-Driven Plant Disease Detection

Accepted in 27^th International Conference on Computer and Information Technology (ICCIT) | Long Beach Hotel, Cox’s Bazar, Bangladesh| 20-22 December, 2024

Read the Paper at IEEE Xplore [Upcoming...]

Co-Author

Enhancing Agricultural Productivity: Machine Learning-Based Recommendations Using NPK, Soil pH and Climate Data

Accepted in 27^th International Conference on Computer and Information Technology (ICCIT) | Long Beach Hotel, Cox’s Bazar, Bangladesh| 20-22 December, 2024

Read the Paper at IEEE Xplore [Upcoming...]

1st Author

Undergraduate Thesis Work

DeepFusionNet-NIDS: A Hybrid Deep Learning Fusion Model for Enhanced Network Intrusion Detection

Accepted in 27^th International Conference on Computer and Information Technology (ICCIT) | Long Beach Hotel, Cox’s Bazar, Bangladesh| 20-22 December, 2024

Read the Paper at IEEE Xplore [Upcoming...]

Co-Author

Contributed in Methodology section, Writings and Proceedings

Work Under Review (in International Conferences)

Enhancing Food Safety with Deep Learning Models for Meat Quality Assessment

1st Author

Explainable AI for Detecting Rice Leaf Disease: A Smartphone Application Utilizing Deep Transfer Learning

Worked as Co-Author

Published Work

Eggplant Yield Prediction Utilizing 130 Locally Collected Genotypes and Machine Learning Model

2023 26th International Conference on Computer and Information Technology (ICCIT) | Cox's Bazar, Bangladesh | Dec 2023

Read the Paper at IEEE Xplore [premium] |or| ResearchGate [FREE]

Co-Author

Ongoing Work

Extended Version of >> Explainable AI for Detecting Rice Leaf Disease: A Smartphone Application Utilizing Deep Transfer Learning

1st Author

will for Journal

MD. Sorowar Mahabub Rabby

Experience

Undergraduate Teaching Assistant, Dept. of CSE

Founder and Head Instructor

Research Work

Accepted Work [will be published soon]

A Modified Transfer Learning-Based Framework for Efficient Food Image Classification

Vegetable Classification Using Deep Learning Insights from Transfer Learning Models

Advancements in Medical Imaging: A Deep Learning Approach for Kidney Disease Classification

An Interpretable Skin Cancer Classification Using Optimized Deep Transfer Learning Method

Predicting Low and Normal Phosphorus Tolerance in Maize Using Advanced Ensemble Classifiers

Classifying Heart Diseases: An Ensemble Technique Combining With Federated Learning

A Novel Image-Based Machine Learning Approach for Feature-Driven Plant Disease Detection

Enhancing Agricultural Productivity: Machine Learning-Based Recommendations Using NPK, Soil pH and Climate Data

DeepFusionNet-NIDS: A Hybrid Deep Learning Fusion Model for Enhanced Network Intrusion Detection

Work Under Review (in International Conferences)

Enhancing Food Safety with Deep Learning Models for Meat Quality Assessment

Explainable AI for Detecting Rice Leaf Disease: A Smartphone Application Utilizing Deep Transfer Learning

Published Work

Eggplant Yield Prediction Utilizing 130 Locally Collected Genotypes and Machine Learning Model

Ongoing Work

Extended Version of >> Explainable AI for Detecting Rice Leaf Disease: A Smartphone Application Utilizing Deep Transfer Learning

Extended Abstract || Articles || Symposium

A Modified Transfer Learning Framework for Efficient Food Image Classification

Innovative Deep Learning Solutions for Meat Quality and Food Safety Assurance

Efficient American Sign Language Recognition with Transfer Learning Framework

Towards Feature-Driven Plant Disease Detection: A Novel Image-Based Machine Learning Approach for Precision Agriculture

Projects

University Projects

Learning Management System (LMS)

Twinkles Shopping Zone