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Masoud Muhammed Hassan

Area interest

    Data Science Artificial Intelligence Machine Learning Bayesian Statistical Learning Uncertainty Quantification for Deep Learning.

Specialties

    Data Science Applied Statistics

Language

  • English (V.Good)
  • Arabic (V.Good)
  • Kurdish (Native)

Social Links

Google Scholar

Education

Doctor of Philosophy

2016

Master of Science

2008

Bachelor of Science

2005

Professional Experience

I’m currently working as an assistant professor at Computer Science Department, University of Zakho. My research interests include, but not limited to the following areas: Artificial Intelligence, Bayesian Statistical Modelling, Machine Learning, and Uncertainty Quantification for Deep Learning.

Academic Title
2020

Assistant Professor

2020-12-06
2017

Lecturer

2017-05-29
2008

Assistant Lecturer

2008-10-11

Awards
2018

Appreciation Letter

2018-11

Certificate of Appreciation

2018-11
2005

First-ranked Students' Awards

2005-09

First-ranked Students' Awards

2005-07

Training Course
2009

Teaching Methods

2009-09-15,2010-01-15

Thesis
2016

Tree-ring Growth Modelling Applied to Bayesian Dendrochronolgy

2016-08-10
2008

Construction of a New Quality Control Chart With Application to Bottled Water

2008-08-21

Published Journal Articles
2025

Bayesian deep learning applied to diabetic retinopathy with uncertainty quantification

2025-01
2024

Enhanced Conjugate Gradient Method for Unconstrained Optimization and Its Application in Neural Networks

2024-10

Bitcoin Price Prediction Using Deep Bayesian LSTM With Uncertainty Quantification: A Monte Carlo Dropout–Based Approach

2024-09

Leveraging Bayesian deep learning and ensemble methods for uncertainty quantification in image classification: A ranking-based approach

2024-01
2023

Intelligent Home: Empowering Smart Home with Machine Learning for User Action Prediction

2023-08

Uncertainty Quantification for MLP-Mixer Using Bayesian Deep Learning

2023-04

Bayesian Deep Learning Applied to LSTM Models for Predicting COVID-19 Confirmed Cases in Iraq

2023-04

Lightweight deep CNN-based models for early detection of COVID-19 patients from chest X-ray images

2023-03

Application of Optimisation Algorithms to Engineering Design Problems and Discrepancies in Mathematical Formulas

2023-03

Bayesian Deep Learning Methods Applied to Diabetic Retinopathy Disease: A Review

2023-01
2022

Analysis and Classification of Autism Data Using Machine Learning Algorithms

2022-11

Smart Homes for Disabled People: A Review Study

2022-11

Heart disease prediction based on pre-trained deep neural networks combined with principal component analysis

2022-08

A Review on Deep Sequential Models for Forecasting Time Series Data

2022-06

Person-independent facial expression recognition based on the fusion of HOG descriptor and cuttlefish algorithm

2022-03

A Review on Bayesian Deep Learning in Healthcare: Applications and Challenges

2022-03
2021

A Review on Using ANOVA and RSM Modelling in The Glass Powder Replacement of The Concrete Ingredients

2021-08

Combination of PCA with SMOTE Oversampling for Classification of High-Dimensional Imbalanced Data

2021-07

Oversampling Method Based on Gaussian Distribution and K-Means Clustering

2021-06

Face Recognition Based on Gabor Feature Extraction Followed by FastICA and LDA

2021-04

RULE GENERATION BASED ON MODIFIED CUTTLEFISH ALGORITHM FOR INTRUSION DETECTION SYSTEM

2021-04
2020

Improving Classification Performance for a Novel Imbalanced Medical Dataset using SMOTE Method

2020-06

A Fully Bayesian Logistic Regression Model for Classification of Zada Diabetes Dataset

2020-06
2019

A simple Bayesian approach to tree-ring dating

2019-03

Conference
2022

Gene Expression Microarray Data Classification based on PCA and Cuttlefish Algorithm

2022-03

Smart Homes Powered by Machine Learning: A Review

2022-03
2019

Classification of Imbalanced Data of Diabetes Disease Using Machine Learning Algorithms

2019-10
2018

A Two-stages MCMC Approach to Tree-ring Dating in The Absence of Master Chronologies

2018-10

Bayesian Sensitivity Analysis to Quantifying Uncertainty in a Dendroclimatology Model

2018-10
2014

Exploring Uncertainty of Computer Models Using Bayesian Sensitivity Analysis

2014-09