Ahmed Al Marouf

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Graduate Assistant (Teaching)

University of Calgary

Canada

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About

Ahmed Al Marouf is a Graduate Assistant (Teaching) at the University of Calgary, Canada. His research interests encompass machine learning applications in biomedical fields, particularly in cancer biomarker identification, as well as in agricultural disease classification and emergency management. Recent contributions include leveraging AI for disease classification in crops and assessing research impact through various metrics.

Recent Grants

Grant: Close

Research Grant from Division of Research

Open Date: 2020-01-01

Close Date: 2020-12-01

Grant: Close

Research Grant from Division of Research

Open Date: 2019-01-01

Close Date: 2019-12-01

Grant: Close

Research Grant from Division of Research

Open Date: 2018-01-01

Close Date: 2018-12-01

Articles (13)

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2025

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2025

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2025

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2025

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2024

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2024

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2023

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2023

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2022

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2022

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2021

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2021

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2020

Collaborators (3)

Md Mozaharul Mottalib

Graduate Teaching Assistant

University of Delaware

UNITED STATES

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Tanvir C. Turin

University of Calgary

CANADA

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Sheikh Mohammed Shariful Islam

Deakin University

AUSTRALIA

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Ahmed Al Marouf

Research Interests

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Contact this professor

About

Recent Grants

Articles (13)

Leveraging Machine Learning for Severity Level-Wise Biomarker Identification in Prostate Cancer Microarray Gene Expression Data

XSE-TomatoNet: An explainable AI based tomato leaf disease classification method using EfficientNetB0 with squeeze-and-excitation blocks and multi-scale feature fusion

Multi-dimensional research impact assessment through bibliometrics, altmetrics, semantometrics, and webometrics

Extracting information from reddit for emergency management - A case study on British Columbia wildfire

Rice Leaf Disease Classification—A Comparative Approach Using Convolutional Neural Network (CNN), Cascading Autoencoder with Attention Residual U-Net (CAAR-U-Net), and MobileNet-V2 Architectures

Enhanced Potato Pest Identification: A Deep Learning Approach for Identifying Potato Pests

MCNN-LSTM: Combining CNN and LSTM to Classify Multi-Class Text in Imbalanced News Data

Genomic Biomarker Discovery in Disease Progression and Therapy Response in Bladder Cancer Utilizing Machine Learning

An Efficient Approach to Predict Eye Diseases from Symptoms Using Machine Learning and Ranker-Based Feature Selection Methods

Detecting and Understanding Sentiment Trends and Emotion Patterns of Twitter Users—A Study on the Demise of a Bollywood Celebrity

Leveraging Smartphone Sensors for Detecting Abnormal Gait for Smart Wearable Mobile Technologies

Leveraging Sensor Fusion and Sensor-Body Position for Activity Recognition for Wearable Mobile Technologies

Comparative Analysis of Feature Selection Algorithms for Computational Personality Prediction From Social Media

Collaborators (3)

Md Mozaharul Mottalib

Tanvir C. Turin

Sheikh Mohammed Shariful Islam

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