Yousif Alyousifi
University of Michigan, Universiti Putra Malaysia, National University of Malaysia
Research areas: Environmental Science · Environmental Engineering · Air Quality Monitoring and Forecasting · Air Quality and Health Impacts · Environmental and Air Quality Management
0000-0003-1530-4317
About
I hold a B.Sc. in Mathematics, as well as M.Sc. and Ph.D. degrees in Statistics from the National University of Malaysia (UKM). My research endeavors have traversed diverse domains, encompassing statistical modeling, stochastic processes, Bayesian methods, advanced time series analysis, and machine learning. Over the course of my academic journey, I have led four distinct projects, contributing significantly as the first author in two and collaborating as a co-author in the others.
The first major project was my PhD dissertation, "Spatio-temporal Markov Chain Modeling under Classical and Bayesian Approaches." Focused on air pollution in Malaysia, this initiative developed robust computational methods using Bayesian approaches, demonstrating superior estimation of transition probabilities in the Air Pollution Index. The spatial Markov chain model effectively captured spatial dependence, providing valuable insights for predicting and managing air quality events. The findings were disseminated through six scientific research papers published in peer-reviewed journals. The second primary project involved the development of hybrid stochastic Fuzzy time series models based on machine learning algorithms. These models showcased efficacy in various domains, including enrollments, air pollution forecasting, stock markets, and benchmark data. This work, published in six scientific research papers and book chapters, highlighted the model's superiority over conventional time series methods. Additionally, a collaborative effort introduced an advanced deep learning forecasting model, 1D-CNN–EAG, for predicting the air pollution index, highlighting its broader applicability and impact.
I have authored several peer-reviewed publications in high-impact journals, primarily in the areas of statistical modeling and machine learning. With over eight years of teaching experience in Mathematics, Statistics, and Data Analytics at the university level, I am committed to both academic instruction and research mentorship.
Professionally, I have served as a Postdoctoral Research Fellow at the University of Technology Malaysia (UTM) and an Assistant Professor at Universiti Putra Malaysia (UPM). I am currently a Postdoctoral Researcher at the University of Michigan (UofM), where I am leading a project focused on developing statistical and machine learning methods for liver disease prediction using data from the UK Biobank, Framingham, and Michigan Genomics Initiative (MGI) cohorts.
In addition to my academic background, I possess strong computational skills and extensive experience in analyzing large datasets. My expertise includes random-effects models and interdisciplinary research collaboration, particularly at the intersection of statistics, environmental science, and health data analytics.
Employment
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University of Michigan Posdoctoral Researcher2023 - 2026
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Universiti Putra Malaysia Assistant Profoessor2021 - 2023
Education
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Universiti Kebangsaan Malaysia PhD in Staitistics
Projects & Funding
Projects & funding information is unavailable.
Publications (27)
- Nanofluid flooding in porous medium for enhanced oil recovery Save
- Optimum volume fraction and inlet temperature of an ideal nanoparticle for enhanced oil recovery by nanofluid flooding in a porous medium Save
- Analysis of recent trends and variability of temperature and relative humidity over Sri Lanka Save
- Bayesian Information Criterion for Fitting the Optimum Order of Markov Chain Models: Methodology and Application to Air Pollution Data Save
- Fixed point theorem between cone metric space and quasi-cone metric space Save
- Forecasting PM10 Concentration Based on a Hybrid Fuzzy Time Series Model Save
- Thermophysical Properties of Nanofluid in Two-Phase Fluid Flow through a Porous Rectangular Medium for Enhanced Oil Recovery Save
- Thermophysical properties of nanofluid in two-phase fluid flow through a porous rectangular medium for enhanced oil recovery Save
- Trend analysis and change point detection of air pollution index in Malaysia Save
- New Application of Fuzzy Markov Chain Modeling for Air Pollution Index Estimation Save
- Projected Moisture Index (MI) for Tropical Sri Lanka Save
- A Novel Stochastic Fuzzy Time Series Forecasting Model Based on a New Partition Method Save
- A new hybrid fuzzy time series model with an application to predict PM10 concentration Save
- A novel stochastic fuzzy time series forecasting model based on a new partition method Save
- New application of fuzzy Markov chain modeling for air pollution index estimation Save
- Projected moisture index (mi) for tropical Sri Lanka Save
- Research Article Projected Moisture Index (MI) for Tropical Sri Lanka Save
- Robust empirical Bayes approach for Markov chain modeling of air pollution index Save
- A novel one-dimensional CNN with exponential adaptive gradients for air pollution index prediction Save
- Correction to: Modeling the spatio-temporal dynamics of air pollution index based on spatial Markov chain model Save