Team Details

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Najmus Saadat

Bsc. Undergraduate | Computer Science & Engineering (CSE)

Research Intern

Contact:

Advanced Machine Intelligence Research Lab
(AMIRL), Block-B, Banani. Dhaka-1213, Bangladesh

Telephone:

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Southeast University BSc in Computer Science and Engineering

◦ CGPA: 3.80/4.0
​‌

Accepted Papers

1. Explainable Ensemble Machine Learning Framework with Optimized Feature Selection for Early Detection of Alzheimer’s Disease

Authors: Najmus Saadat, Tonmoy, Ferdous Bin Hafiz, AKM Masum, Khandaker Mohammad Mohi Uddin
Conference: IEEE International Conference on Robotics, Automation, Artificial Intelligence and Internet-of-Things (RAAICON)


2. DeepEyeNet-XAI: A Hybrid Deep Learning Framework with Grad-CAM Explainability for Multiclass Retinal Disease Classification

Authors: Sadia Afroz, Najmus Saadat, Mammunur Rashid Alex, Masud Rana
Conference: IEEE Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON)


3. MalariaNet-XAI: An Explainable Deep Ensemble Framework for Accurate Malaria Detection

Authors: Md. Abdur Rahman, Najmus Saadat, Tonmoy, Khandaker Mohammad Mohi Uddin
Conference: International Conference on Computer and Information Technology (ICCIT)


4. SafeBirth AI: Tuned Explainable Ensembles for Maternal and Fetal Health Classification

Authors: Najmus Saadat, Mammunur Rashid Alex, Redwan Hossain, Sadia Afroz, Refat Sabnur
Conference: IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-E)

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