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.

 

Chi Liu | Computational Methods | Best Researcher Award

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Dr. Chi Liu | Computational Methods | Best Researcher Award

Scopus Profile

Orcid Profile

Professional Experience:

Dr. Chi Liu is an assistant researcher and project manager at the Chinese Institute of Coal Science. He earned his Bachelor of Engineering (BE) and PhD degrees from Jilin University and Tsinghua University, respectively. Dr. Liu’s research focuses on computational rock mechanics and the catastrophic mechanisms of geomaterials, particularly soft rock interactions with water. He has published over 10 peer-reviewed journal papers, including those in SCI/EI journals. As the principal investigator of more than 10 national and provincial research projects, Dr. Liu has made significant contributions to the field. He is also a member of the Red-bed Engineering Branch of the Chinese Society of Rock Mechanics and Engineering.

Research and Innovations:

Dr. Chi Liu has successfully completed six research projects and is currently engaged in ten ongoing research initiatives. His scholarly impact is reflected in his citation index, with an h-index of 4 on Scopus. In addition to his research, Dr. Liu has contributed to six consultancy and industry-sponsored projects, demonstrating his expertise in practical applications of his work. He has also made significant strides in intellectual property, with eight patents published or under process. Dr. Liu has authored 11 articles in peer-reviewed journals, showcasing his contributions to the field. Despite his extensive involvement in research and industry, he has not held any editorial appointments.

Collaborations: 

Dr. Chi Liu has developed the rock fracture analysis software, FDEMYMs, which boasts independent intellectual property rights. This software represents a significant advancement in the field of computational rock mechanics, offering sophisticated tools for analyzing rock fractures. Its development underscores Dr. Liu’s commitment to enhancing the precision and effectiveness of rock mechanics research through innovative technological solutions.

Professional Memberships:

Dr. Chi Liu is an active member of several prestigious professional organizations. He serves on the Red-bed Engineering Branch of the Chinese Society of Rock Mechanics and Engineering, where he contributes to advancements in rock mechanics and engineering practices. Additionally, he is a member of the China Coal Society, reflecting his engagement with the coal industry and related research. His affiliation with the Geological Society of China further highlights his dedication to the broader geological community and its ongoing development. These memberships underscore Dr. Liu’s commitment to advancing his field through collaborative and professional networks.

Areas of Research:

Dr. Chi Liu’s research is primarily focused on computational mechanics and rock mechanics. His work in computational mechanics involves using advanced simulations and modeling techniques to understand and predict the behavior of materials under various conditions. In rock mechanics, Dr. Liu investigates the physical and mechanical properties of rocks, particularly under complex environmental interactions such as water-rock interactions. His expertise in these areas contributes significantly to the development of practical solutions for geological and engineering challenges, enhancing the safety and efficiency of construction and resource extraction projects.

Contributions:

Dr. Chi Liu firstly proposed a new water-rock interfacial
evolution model named Interfacial Cemented Bonding (ICB) model, and established an
analytical solution describing the time-dependent damage effect of the meso-structure of
soft rock. He also established the cohesive crack constitutive model and interface softening
theory. He developed a novel numerical characterization and simulation methods of all
elements of rock materials based on the self-developed rock fracture calculation software
FDEMYMs with independent intellectual property rights. He also proposed the bearing
skeleton to describe the bearing nature of rock mass, and the life cycle control principle of
rock mass structure.

Top Notable Publications

“Water-rock interfacial softening model of cemented soft rock: An experimental and numerical study”

Authors: Liu, C., Liu, X., Wang, E., Wang, S., Peng, H.

Journal: Results in Engineering

Year: 2024

Volume: 23

Article Number: 102710

Citations: 0

“Optimizing 3D granular modeling with integrated 3DEC and neper techniques for granite mechanics simulation”

Authors: Ma, Q., Liu, X., Wang, E., Liu, C., Jia, W.

Journal: Computers and Geotechnics

Year: 2024

Volume: 173

Article Number: 106578

Citations: 1

Access: Open access

“Discrete Element Study on the Mechanical Response of Soft Rock Considering Water-Induced Softening Effect”

Authors: Liu, C., Liu, X., Peng, H., Wang, E., Wang, S.

Journal: Applied Sciences (Switzerland)

Year: 2024

Volume: 14(9)

Article Number: 3918

Citations: 1

“Dependence of connectivity dominance on fracture permeability and influence of topological centrality on the flow capacity of fractured porous media”

Authors: Wang, C., Liu, X., Wang, E., Wang, M., Liu, C.

Journal: Journal of Hydrology

Year: 2023

Volume: 624

Article Number: 129883

Citations: 3

“Investigation of Multiscale Failure Mechanism of Red Bed Soft Rock using Grain-Based Finite-Discrete Element Method Combined with X-Ray Micro-computerized Tomography”

Authors: Liu, C., Liu, X., Wu, C., Wang, S., Peng, H.

Journal: KSCE Journal of Civil Engineering

Year: 2023

Volume: 27(3)

Pages: 1350–1367

Citations: 6

“Dynamic model for water-rock interface of softening of soft rock and its evolution law”

Authors: Liu, C., Liu, X.-L., Zhang, D., Wang, E.-Z., Wang, S.-J.

Journal: Yantu Gongcheng Xuebao/Chinese Journal of Geotechnical Engineering

Year: 2022

Volume: 44(12)

Pages: 2280–2289

Citations: 9