Assoc. Prof. Dr. Abdisalam Hassan Muse | Decision Sciences | Best Researcher Award

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Assoc. Prof. Dr. Abdisalam Hassan Muse | Decision Sciences | Best Researcher Award

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

Dr. Abdisalam Hassan Muse is a dedicated statistician and academician from Somalia, with a solid track record in teaching and research. With a PhD in Statistics from the Pan African University (PAUSTI), Kenya, he specializes in data science, mathematics, and statistics. His expertise spans across curriculum development, machine learning, and quantitative methods. As the current Director of the Research and Innovation Centre at Amoud University, Dr. Muse is at the forefront of fostering research and innovation, collaborating with industry partners, and promoting data-driven solutions. His prior roles include Assistant Professor and Dean of the School of Postgraduate Studies and Research at Amoud University. Passionate about academic development and professional growth, Dr. Muse is actively involved in student mentorship, knowledge sharing, and leading research initiatives that benefit both his community and the broader academic world.

Professional Profile

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Summary of Suitability for the Research for Best Researcher Award

Abdisalam Hassan Muse demonstrates a strong candidacy for the Research for Best Researcher Award. His academic background spans various disciplines, with a PhD in Statistics from the prestigious Pan African University, as well as multiple master’s degrees and a solid foundation in both Islamic studies and the sciences. His extensive teaching and research experience, particularly in statistics, data science, and mathematics, coupled with his proficiency in a wide array of statistical software, positions him as an authority in his field. His leadership roles, including as Director of the Research and Innovation Centre at Amoud University, reflect his capability in driving forward research initiatives, securing funding, and fostering a research-oriented academic environment.

πŸŽ“  Education 

Dr. Abdisalam Hassan Muse’s educational journey reflects a strong foundation in both Islamic studies and STEM fields. He earned his PhD in Statistics from the Pan African University (PAUSTI) in Nairobi, Kenya, with a focus on advanced statistical methodologies. Prior to that, he pursued an MSc in Climate Change and Environmental Sustainability from Amoud University, Somalia, and an MSc in Mathematics and Statistics. His undergraduate studies include a BA in Islamic Studies from Beder International University and a BSc in Mathematics and Physics from Amoud University. Additionally, Dr. Muse holds diplomas in Islamic Studies and Education for Mathematics and Physics, which complement his broad academic expertise. His education underscores a commitment to both scientific rigor and cultural awareness, providing a unique interdisciplinary perspective in his research and teaching. His diverse academic background positions him as a leader in statistical research and environmental sustainability.

πŸ’Ό  Experience 

Dr. Abdisalam Hassan Muse’s professional experience spans over a decade, with leadership roles in academia and research. Currently, he serves as the Director of the Research and Innovation Centre at Amoud University, where he leads research projects, fosters collaboration with industry partners, and promotes innovation across disciplines. Previously, he held the role of Assistant Professor at the School of Postgraduate Studies and Research at the same institution, where he taught statistics, mathematics, and data science, while mentoring students and leading seminars. Dr. Muse has also served as the Dean of the School of Postgraduate Studies and Research, overseeing strategic academic development and institutional growth. His earlier roles include Lecturer at Amoud University and Adal Medical University, where he was involved in teaching a wide array of subjects including biostatistics, physics, and mathematics. His dedication to education and research has been instrumental in shaping future scholars and advancing scientific knowledge.

πŸ… Awards and Honors 

Dr. Abdisalam Hassan Muse has been recognized for his contributions to academia and research. His academic achievements include a PhD Scholarship at the Pan African University (PAUSTI), awarded for his outstanding performance and research potential in statistics. Throughout his career, he has received numerous accolades for his work in fostering innovation and education at Amoud University, where he led several successful research initiatives. Dr. Muse was also honored as a National GCSE Exam Marker by the Ministry of Science and Higher Education in Somaliland, highlighting his contributions to the educational sector at a national level. Additionally, his leadership as Dean of the School of Postgraduate Studies and Research earned him recognition for enhancing postgraduate education and research infrastructure. His continued commitment to advancing knowledge through teaching, research, and academic leadership has solidified his reputation as an influential figure in the field of statistics and data science.

🌍  Research Focus 

Dr. Abdisalam Hassan Muse’s research focus spans across various domains of statistics, data science, and environmental sustainability. His work in statistics involves developing and applying advanced methodologies in data analysis, machine learning, and quantitative methods to address complex problems. He is particularly interested in utilizing statistical tools to understand environmental changes, specifically in relation to climate change and sustainability. Dr. Muse’s interdisciplinary approach incorporates both statistical theory and practical applications, ensuring that his research has a real-world impact. His work has contributed to significant advancements in understanding the role of data in environmental policy-making, public health, and educational development. As a researcher, Dr. Muse also focuses on the integration of technology in education, exploring how digital tools can enhance learning outcomes in mathematics and statistics. His commitment to research is evident in his numerous publications and leadership roles in promoting academic innovation.

πŸ“– Publication Top Notes

  • Title: Modelling the COVID‐19 Mortality Rate with a New Versatile Modification of the Log‐Logistic Distribution
  • Citation: 48
  • Title: On the log-logistic distribution and its generalizations: a survey
  • Citation: 35
  • Title: The Arctan‐X Family of Distributions: Properties, Simulation, and Applications to Actuarial Sciences
  • Citation: 32
  • Title: An extended cosine generalized family of distributions for reliability modeling: Characteristics and applications with simulation study
  • Citation: 31
  • Title: Bayesian and Classical Inference for the Generalized Log‐Logistic Distribution with Applications to Survival Data
  • Citation: 31

Dr. Soheila Kookalani | Construction | Best Researcher Award

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Dr. Soheila Kookalani | Construction | Best Researcher Award

Dr. Soheila Kookalani, Cambridge University, United Kingdom

Soheila Kookalani is a distinguished Research Associate at the University of Cambridge, specializing in Civil and Structural Engineering. She has a profound expertise in steel reuse, the circular economy, life-cycle assessment, and the integration of digital twin technologies in construction. Her research focuses on leveraging artificial intelligence and machine learning to optimize structural designs, promoting sustainability in construction. Soheila holds a Ph.D. in Civil and Structural Engineering from Shanghai Jiao Tong University, where she pioneered research on GFRP elastic gridshells. With a commitment to environmental responsibility, she continuously explores innovative ways to integrate sustainable practices into building designs, aiming to revolutionize construction methodologies. She has numerous publications in leading journals, demonstrating her contribution to both academia and the industry. Her work emphasizes sustainable engineering practices that align with modern technological advancements, particularly in the realm of structural optimization and reuse strategies.

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Summary of Suitability for the Research for Best Researcher Award

Soheila Kookalani’s innovative approach to structural engineering, coupled with her strong commitment to sustainability and integration of advanced technologies, positions her as a highly suitable candidate for the Research for Best Researcher Award. Her work has significant implications for the future of sustainable construction, making her a valuable asset to both academia and industry.

πŸŽ“ Education 

Soheila Kookalani pursued her academic journey with a solid foundation in architectural and civil engineering. She earned her Bachelor of Science in Architectural Engineering from Azad University in Iran, where her thesis explored hybrid architecture in cinematic arts. She then advanced her studies with a Master of Science in Civil and Structural Engineering from Hohai University, China, focusing on the seismic performance of hybrid structures in high-rise buildings. Her academic journey culminated with a Ph.D. from Shanghai Jiao Tong University, China, where she focused on the structural optimization of GFRP elastic gridshells using machine learning techniques. Her doctoral research contributed to advancing knowledge in structural design and building sustainability. Throughout her studies, Soheila has consistently integrated innovative technologies, such as artificial intelligence and machine learning, into her research, making her an authority in the field of structural design and optimization for sustainable construction.

πŸ’Ό Experience 

Soheila Kookalani has accumulated extensive experience in civil and structural engineering, with a primary focus on sustainable design practices. She currently serves as a Research Associate at the University of Cambridge, where she is engaged in a groundbreaking project on the reuse of structural steel in construction. Her experience spans across diverse areas, including the circular economy, life-cycle assessment, building information modeling (BIM), and digital twin technology. From 2018 to 2022, she conducted research on GFRP elastic gridshells as part of her Ph.D. at Shanghai Jiao Tong University. Prior to this, Soheila gained practical experience working on seismic performance evaluation of hybrid structures during her Master’s at Hohai University. Her expertise also extends to the application of artificial intelligence in optimizing structural designs, demonstrating her capacity to bridge the gap between theoretical research and practical application in sustainable construction.

πŸ…Awards and Honors 

Throughout her academic and professional career, Soheila Kookalani has been recognized for her outstanding contributions to civil and structural engineering. She has received several prestigious awards and honors, including recognition from leading engineering conferences and academic institutions. Her work on the integration of AI and machine learning in structural design has garnered international attention, earning her accolades for innovation in sustainable construction. Soheila has also been honored for her research on GFRP elastic gridshells, receiving commendations for excellence in structural optimization and sustainable design. Her role as a published author in top-tier engineering journals has further solidified her reputation as a leading researcher in the field. Additionally, Soheila’s contributions to the reuse of structural steel and her involvement in cutting-edge projects at the University of Cambridge have earned her numerous industry awards, highlighting her commitment to environmental responsibility and sustainable engineering practices.

🌍 Research Focus 

Soheila Kookalani’s research is centered on the intersection of civil engineering, sustainability, and advanced technology. Her primary focus is on steel reuse, promoting a circular economy in construction through the reuse of structural components. She is also deeply involved in life-cycle assessments, aiming to reduce the environmental impact of construction projects. Her research integrates building information modeling (BIM) and digital twin technology to enhance the design, monitoring, and optimization of construction projects. Soheila is particularly interested in applying artificial intelligence (AI) and machine learning to optimize structural designs, especially in the context of GFRP elastic gridshells. Her work on generative AI in structural engineering seeks to streamline design processes and improve sustainability. By combining these advanced technologies, her research contributes to developing more efficient, eco-friendly building practices that align with global sustainability goals.

πŸ“– Publication Top Notes

  • BIM-based augmented reality for facility maintenance management
    • Cited by: 24
  • Structural analysis of GFRP elastic gridshell structures by particle swarm optimization and least square support vector machine algorithms
    • Cited by: 18
  • Shape optimization of GFRP elastic gridshells by the weighted Lagrange Ξ΅-twin support vector machine and multi-objective particle swarm optimization algorithm considering …
    • Cited by: 14
  • An analytic approach to predict the shape and internal forces of barrel vault elastic gridshells during lifting construction
    • Cited by: 14
  • Effect of Fluid Viscous Damper parameters on the seismic performance
    • Cited by: 14