Abdisalam Hassan Muse | Computational Methods | Best Researcher Award

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Assoc Prof Dr. Abdisalam Hassan Muse | Computational Methods | Best Researcher Award 

Assoc Prof Dr. Abdisalam Hassan Muse, Amoud University, Somalia

Assoc. Prof. Dr. Abdisalam Hassan Muse is an accomplished educator and researcher, with a Ph.D. in Statistics from PAUSTI-JKUAT, Kenya. He has over 13 years of experience teaching mathematics, statistics, and data science at both secondary and university levels. Dr. Muse has a strong research focus on Bayesian statistics, econometrics, and data science, with expertise in statistical modeling, machine learning, and time series analysis. His academic work is complemented by active participation in international workshops and trainings in advanced statistical methods.

Orcid Profile

Educational Details

Assoc. Prof. Dr. Abdisalam Hassan Muse earned his Ph.D. in Statistics from the Pan African University Institute for Basic Sciences, Technology and Innovation (PAUSTI), hosted at Jomo Kenyatta University of Agriculture and Technology (JKUAT), Nairobi, Kenya (May 2019 – Oct 2022). He also holds two Master’s degrees: an MSc in Climate Change and Environmental Sustainability from Amoud University, Borama, Somalia (September 2018 – Incomplete), and an MSc in Mathematics and Statistics from the same institution (September 2015 – July 2017). His diverse academic foundation also includes a BA in Islamic Studies from Beder International University, Borama, Somalia (September 2013 – July 2016), a BSc in Mathematics and Physics from Amoud University (September 2010 – July 2012), and Diplomas in Islamic Studies (2008–2010) and Education for Mathematics and Physics (2005–2007) from Amoud University and Zaylac Institute of Islamic Studies, respectively. He completed his secondary education at Sheikh Ali Jawhar Secondary School in Borama, Somaliland, earning the Somaliland Certificate of Secondary Education (September 2001 – July 2005).

Professional Experience

Dr. Abdisalam Hassan Muse has over 13 years of experience in education, including two years of postgraduate teaching and supervision and six years of undergraduate university teaching. His teaching expertise spans mathematics, statistics, data science, and the application of technology in statistical experiments. He also has 11 years of secondary teaching experience. Throughout his career, he has demonstrated a strong ability to communicate complex concepts, both in academic and classroom settings. Dr. Muse has actively participated in several international workshops and training programs, focusing on Bayesian statistics, data science, official statistics, disease modeling, and statistical software like R and Python. Additionally, he has experience in research and training related to fragile environments and post-distribution monitoring for aid programs.

Research Interest

Dr. Muse’s research is focused on a variety of statistical fields, including Bayesian statistics, econometrics, survival analysis, official statistics, and demography. His expertise extends to data science, statistical modeling, machine learning, mathematical statistics, and stochastic processes. He has a passion for applying advanced statistical techniques to real-world problems, with a keen interest in environmental statistics, computational statistics, probability distributions, regression modeling, and time series analysis. His skills also encompass areas like Ito calculus, education statistics, and population analysis.

Top Notable Publications

Prevalence and determinants of home delivery among pregnant women in Somaliland: Insights from SLDHS 2020 data
Atención Primaria
2025-02 | Journal Article
DOI: 10.1016/j.aprim.2024.103082
ISSN: 0212-6567
Source: Abdisalam Hassan Muse

Cardiovascular disease prevalence and associated factors in a low-resource setting: A multilevel analysis from Somalia’s first demographic health survey
Current Problems in Cardiology
2024-12 | Journal Article
DOI: 10.1016/j.cpcardiol.2024.102861
Source: Crossref

Prevalence and determinants of hypertension among adults in Somalia using Somalia demographic health survey data, SDHS 2020
Current Problems in Cardiology
2024-11 | Journal Article
DOI: 10.1016/j.cpcardiol.2024.102783
ISSN: 0146-2806
Source: Abdisalam Hassan Muse

Analyzing Unimproved Drinking Water Sources and Their Determinants Using Supervised Machine Learning: Evidence from the Somaliland Demographic Health Survey 2020
Water
2024-10 | Journal Article
DOI: 10.3390/w16202986
Source: Multidisciplinary Digital Publishing Institute

Conclusion

Assoc. Prof. Dr. Abdisalam Hassan Muse is a highly qualified candidate for the Best Researcher Award. His strong educational background, extensive professional experience, and commitment to impactful research make him a standout in the field of statistics and data science. Dr. Muse’s innovative approach, coupled with his dedication to community engagement, positions him as a leading figure in advancing computational methodologies for the betterment of society.

 

Mozahar Ali | Computational Materials | Best Researcher Award

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Assis Prof Dr. Mozahar Ali | Computational Materials | Best Researcher Award

Orcid Profile 

Google Scholar Profile

Educational Details:

md. mozahar ali holds a Ph.D. in Engineering with a specialization in Functional Material Systems from the University of Yamanashi, Japan, awarded in 2017. He also obtained a Postgraduate Diploma in Condensed Matter Physics from the Abdus Salam International Centre for Theoretical Physics (ICTP) in Italy in 2011. His academic excellence is further demonstrated by his M.Sc. in Solid State Physics, where he achieved 1st class honors, ranking 4th in his class at the University of Rajshahi in 2007. He earned his B.Sc. (Hons.) in Physics from the same university, graduating with 1st class honors and securing the 3rd position in 2006. Additionally, he completed his Higher Secondary Certificate (H.S.C.) in Science from Govt. A. H. College, Bogura, with a 1st Division in 2002, and his Secondary School Certificate (S.S.C.) in Science from A. U. C. M. High School, Bogura, also with a 1st Division in 2000.

 

Professional Experience

md. mozahar ali has accumulated extensive academic experience through various positions in higher education. He currently serves as an Assistant Professor at the American International University-Bangladesh (AIUB) since May 2022. Prior to this, he held the position of Assistant Professor in the Department of Basic Sciences at Primeasia University, Dhaka, from October 2021 to May 2022. His experience also includes serving as an Assistant Professor in the Department of Mathematics and Natural Sciences at BRAC University from May 2019 to July 2020, and earlier as an Assistant Professor at AIUB from May 2018 to April 2019. Additionally, he worked as an Assistant Professor at the International Islamic University Chittagong (IIUC) from July 2017 to May 2018 and as a Lecturer at the same institution from March 2013 to September 2013. In 2019, he further enhanced his teaching skills by completing a professional training program in Theory and Practice of Learner-Centered Teaching at BRAC University.

Research Interest

md. mozahar ali’s research focuses on:

Crystal growth and characterization of functional oxides

Computational physics

Ab-initio studies of metal alloys, semiconductors, and superconductors

He has published a significant body of work and has been recognized with several awards, including the United Group Research Award in 2019 for outstanding research in General Science and Engineering and a gold medal for academic excellence during his B.Sc. (Hons.) studies.

Top Notable Publications

Superconducting Double Perovskite Bismuth Oxide Prepared by a Low‐Temperature Hydrothermal Reaction
MHK Rubel, A Miura, T Takei, N Kumada, M Mozahar Ali, M Nagao, …
Angewandte Chemie 126 (14), 3673-3677, 2014
Citations: 101

Hydrothermal synthesis, crystal structure, and superconductivity of a double-perovskite Bi oxide
MHK Rubel, T Takei, N Kumada, MM Ali, A Miura, K Tadanaga, K Oka, …
Chemistry of Materials 28 (2), 459-465, 2016
Citations: 68

Hydrothermal synthesis of a new Bi-based (Ba<sub>0.82</sub>K<sub>0.18</sub>)(Bi<sub>0.53</sub>Pb<sub>0.47</sub>)O<sub>3</sub> superconductor
MHK Rubel, T Takei, N Kumada, MM Ali, A Miura, K Tadanaga, K Oka, …
Journal of Alloys and Compounds 634, 208-214, 2015
Citations: 43

Physical properties of a novel boron-based ternary compound Ti<sub>2</sub>InB<sub>2</sub>
MM Ali, MA Hadi, I Ahmed, A Haider, A Islam
Materials Today Communications 25, 101600, 2020
Citations: 37

First− principles study: Structural, mechanical, electronic and thermodynamic properties of simple− cubic− perovskite (Ba<sub>0.62</sub>K<sub>0.38</sub>)(Bi<sub>0.92</sub>Mg<sub>0.08</sub>)O<sub>3</sub>
MHK Rubel, MM Ali, MS Ali, R Parvin, MM Rahaman, KM Hossain, …
Solid State Communications 288, 22-27, 2019
Citations: 31

Hydrothermal Synthesis, Structure, and Superconductivity of Simple Cubic Perovskite (Ba<sub>0.62</sub>K<sub>0.38</sub>)(Bi<sub>0.92</sub>Mg<sub>0.08</sub>)O<sub>3</sub> with Tc ∼ 30 K
MHK Rubel, T Takei, N Kumada, MM Ali, A Miura, K Tadanaga, K Oka, …
Inorganic Chemistry 56 (6), 3174-3181, 2017
Citations: 30

New superconductor (Na<sub>0.25</sub>K<sub>0.45</sub>)Ba<sub>3</sub>Bi<sub>4</sub>O<sub>12</sub>: A first-principles study
MS Ali, M Aftabuzzaman, M Roknuzzaman, MA Rayhan, F Parvin, MM Ali, …
Physica C: Superconductivity and its Applications 506, 53-58, 2014
Citations: 29

DFT investigations into the physical properties of a MAB phase Cr<sub>4</sub>AlB<sub>4</sub>
MM Ali, MA Hadi, ML Rahman, FH Haque, A Haider, M Aftabuzzaman
Journal of Alloys and Compounds 821, 153547, 2020
Citations: 25

Influence of heavy Hf doping in CeO<sub>2</sub>: prediction on various physical properties
KM Hossain, SK Mitro, SA Moon, MM Ali, S Chandra, MA Hossain
Results in Physics 37, 105569, 2022
Citations: 10

Conclusion

In summary, Assist Prof Dr. Md. Mozahar Ali stands out as a highly qualified candidate for the Best Researcher Award due to his exemplary educational background, extensive professional experience, significant research contributions, and alignment with current scientific challenges. His commitment to advancing knowledge in computational materials and his impactful research trajectory make him an excellent choice for this honor.