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.

๐ŸŽ“ย ย Educationย 

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.

๐Ÿ’ผย ย Experienceย 

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.

๐Ÿ…ย Awards and Honorsย 

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.

๐ŸŒย  Research Focusย 

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.

๐Ÿ“– Publication Top Notes

  • Title: Modelling the COVIDโ€19 Mortality Rate with a New Versatile Modification of the Logโ€Logistic Distribution
  • Citation: 48
  • Title: On the log-logistic distribution and its generalizations: a survey
  • Citation: 35
  • Title: The Arctanโ€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 Logโ€Logistic Distribution with Applications to Survival Data
  • Citation: 31

Mr. Enock Yeng | Research | Excellence in Research

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Mr. Enock Yeng | Research | Excellence in Research

Mr. Enock Yeng, Liberty University, United States

Enock Yeng, a Doctor of Philosophy in Education (Curriculum and Instruction) candidate at Liberty University, is a visionary educator, researcher, and leader renowned for his trailblazing contributions to the field of education. Holding multiple prestigious certifications from esteemed global institutions, Enock has distinguished himself as a champion of educational innovation. As a consummate educator at Milwaukee Public Schools, Enock’s expertise spans mathematics, social studies, and English language arts, complemented by his mentorship and technology integration initiatives. His pioneering spirit led to the establishment of Eduhub Consultancy Services, providing expert guidance on educational policy, curriculum development, and leadership. Enock’s commitment to educational excellence has garnered international recognition, solidifying his position as a thought leader shaping the future of education globally. His groundbreaking research and interdisciplinary approach have fostered transformative educational reforms.

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Summary of Suitability for the Award

Enock Yeng’s extensive academic background, professional experience, and commitment to educational research position him as a strong candidate for the Research for Excellence in Research Award. He is a PhD candidate in Education (Curriculum and Instruction) at Liberty University and holds multiple certifications from prestigious institutions globally, including the University of Hong Kong, Erasmus University, and the University of Illinois. His expertise spans curriculum development, instructional strategies, educational leadership, and research methodologies, showcasing his commitment to advancing educational research. Enock’s groundbreaking work has the potential to significantly impact educational landscapes, making him an outstanding contender for this award.

๐ŸŽ“ย  Education

Enock Yeng’s exemplary academic trajectory demonstrates an unwavering commitment to scholarly excellence and continuous professional development. Currently, a Doctor of Philosophy candidate in Education (Curriculum and Instruction) at Liberty University, his academic credentials also include a Master of Philosophy in Education and a Bachelor of Education from the University of Education, Winneba. Mr. Yeng’s foundational education was established through a General Arts program at Lawra High School, preceded by Middle and Primary Education at T.I Ahmadiyya Basic School and Great Provider Academy, respectively. Furthermore, Enock has participated in esteemed international exchange programs, notably the Tri-Continental Teacher Training Exchange at the University of Hamburg, Germany, and a Commonwealth of Learning Scholarship in Canada. These global engagements have significantly enhanced his expertise and capacity to promote innovative educational leadership. Enock Yeng’s distinguished academic background, characterized by a dedication to excellence and global perspectives, distinguishes him as a leading educator and researcher.

๐Ÿ’ผย  ย ย Experienceย 

Enock Yeng brings over a decade of diverse experience in educational leadership, pedagogy, and policy development. His expertise spans multiple roles, demonstrating his exceptional breadth of knowledge. Currently, as an educator at Milwaukee Public Schools, Enock designs and implements mathematics, social studies, and English language arts curricula. Concurrently, he spearheads digital integration initiatives to enhance student engagement. Preceding his current role, Enock served as a lecturer at the University of Education, Winneba’s College of Distance Education and e-Learning. There, he instructed early-grade education courses and mentored students. Additionally, he contributed to the Ghana Education Service as Principal Superintendent, cultivating specialized instruction in Mathematics, Science, and Information and Communication Technology (ICT). As the visionary Founder and Executive Director of Eduhub Consultancy Services, Enock provides expert consultancy on educational policy formulation, curriculum design, and leadership development. He also delivers professional training programs for educators nationwide, fostering capacity building and instructional excellence. Internationally, Enock has served as an exchange educator and researcher at the University of Hamburg. He contributed to bilateral education policy initiatives and cultural exchange programs between Ghana and Germany, broadening his global perspective. Furthermore, Enock holds key positions in academic publishing and conference planning. He serves as Editorial Secretary for the International Multidisciplinary Journal of Research and Education (IMJRE) and Secretary for the Committee of International Multidisciplinary Conference for Postgraduate Students at the University of Education, Winneba. Enock’s extensive experience, marked by leadership, instructional expertise, and policy acumen, distinguishes him as a pioneering force in education.

๐Ÿ…ย ย Awards and Honorsย 

Enock Yeng’s dedication to education and leadership has earned him numerous awards and honors throughout his career. Notably, he has been awarded as a Fellow of the Scholars Academic and Scientific Society and Dignitary Fellow of the International Organization for Academic and Scientific Development. He holds prestigious international certifications, including a Certificate in University Teaching from the University of Hong Kong and a Certificate in Assessment for Learning from the University of Illinois. His contributions to distance education and educational reform have been recognized with esteemed accolades, such as the Commonwealth of Learning Scholarship from Canada and the Tri-Continental Teacher
Training Exchange Program in Germany. Eduhub Consultancy Services has achieved accreditation by the National Teaching Council, further affirming its impact on education. Enock has presented at premier global conferences, leveraging his expertise to shape the future of education through innovative teaching methods and informed policy reforms.

๐ŸŒย  ย Research Focusย 

Enock Yengโ€™s research focuses on the intersection of educational theory, policy reform, and innovative teaching methodologies. He is particularly interested in curriculum design, instructional strategies, and the integration of technology to enhance student learning outcomes. His work emphasizes the need for differentiated assessment and inclusive education, aiming to improve educational access and quality for diverse student populations. Enock is also invested in
the advancement of distance education, contributing to the development of online learning programs that reach underserved communities. His research has explored the effectiveness of project-based learning and flipped classroom techniques, as well as the role of emotional intelligence in educational leadership. Enockโ€™s commitment to evidence-based policy reforms has led him to collaborate with national and international educational institutions, shaping best practices in education. His research is widely published in peer-reviewed journals, contributing to the global discourse on education innovation.

ย ๐Ÿ“– Publication Top Notes

  • Assessment of supervision in public basic schools in northern Ghana: the case of Lambussie-Karni District
    Cited by: 6
  • The Influence of Teachers’ Familiarity on Competency in Integrating Instructional Technology in Mathematics Teaching
    Cited by: 2
  • Relationship between Familiarity and Competency in Integrating Information and Communication Technology into Mathematics Instruction
    Cited by: 1
  • A Multilevel Analysis of the National Teachers’ Standards’ Impact on Mathematics Teachers’ Instructional Practices
  • Examining Teachers’ Use of Play-Based Pedagogy in Mathematics Learning in Basic Schools

Mr. Daniel Morariu | Resilience | Best Researcher Award

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Mr. Daniel Morariu | Resilience | Best Researcher Award

Mr. Daniel Morariu, Lucian Blaga University of Sibiu, Romania

Morariu Ionel Daniel is an esteemed associate professor at “Lucian Blaga” University of Sibiu, Romania, with expertise in computer science, automatic systems, data mining, and machine learning. Born on September 17, 1974, in Sighisoara, he has dedicated over two decades to education and research. He holds a Bachelor’s and Master’s degree in Computer Science from “Lucian Blaga” University and completed his PhD in Computer Science with a focus on “Automatic Knowledge Extraction from Unstructured Data” in 2007. Daniel has been a consistent contributor to advanced research, particularly in data mining, neural networks, and natural language processing. With a robust portfolio of software engineering and academic experience, his career includes impactful projects in automation systems, energy control solutions, and numerous published research papers. His dedication to knowledge dissemination and technological advancements has earned him respect in both academic and industrial circles.

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Summary of Suitability for the Award

Dr. Morariu Ionel Daniel stands out as a highly qualified candidate for the Research for Best Researcher Award, particularly due to his extensive academic background, research experience, and contributions in the field of Computer Science. His educational path, including a PhD focused on automatic knowledge extraction from unstructured data, demonstrates his depth in data mining and machine learning, areas that are essential in today’s technological landscape. Furthermore, his PhD was supported by SIEMENS Corporate Technology, highlighting the practical relevance of his work.

ย ๐ŸŽ“ย ย Educationย 

Daniel Morariu completed his secondary education at “Mircea Eliade” Theoretic High School, Sighisoara, between 1989-1993. He pursued higher education at “Lucian Blaga” University of Sibiu’s Engineering Faculty, earning a Bachelorโ€™s degree in Computer Science and Automatic Systems in 1998. His academic journey continued with a Masterโ€™s degree in Computer Science in 1999, specializing in “Parallel and Distribute Processing Systems” from the same university. His thirst for knowledge culminated in a PhD in Computer Science, awarded in April 2007. His PhD research focused on “Contributions to Automatic Knowledge Extraction from Unstructured Data,” under the supervision of Professor Lucian N. Vinศ›an. Supported by SIEMENS Corporate Technology from Munich, his doctoral research provided significant insights into data mining and natural language processing. This strong educational foundation has positioned him as a distinguished academic in the field of computer science.

๐Ÿ’ผย  ย  ย Experienceย 

Daniel Morariu has held a variety of academic positions throughout his career. He began as a teaching assistant at “Lucian Blaga” University in 1998, contributing to courses such as Microprocessors and Object-Oriented Programming. From 2003 to 2007, he served as a lecturer, teaching advanced courses in Neural Networks and Data Mining. In 2007, he became an associate professor, focusing on courses like Data Mining, Machine Learning, and Interfaces and Communication Protocols. Outside academia, Morariu gained valuable industry experience. He worked with SC Consultens Informationstechnik SRL, a German software company, as a software engineer from 2001 to 2002. He also worked as an engineer at SC IRMES SA Sibiu from 1998 to 2000, developing software for monitoring generators and controlling gas supply in thermoelectric power stations. His career reflects a strong blend of academic expertise and practical industry experience, especially in computer science and automation systems.

๐Ÿ…ย ย Awards and Honors

Throughout his career, Daniel Morariu has been recognized for his contributions to computer science and engineering. His PhD research, supported by SIEMENS Corporate Technology from Munich, was a notable achievement, reflecting both scientific and financial backing from a prestigious institution. Over the years, his dedication to teaching and research has earned him accolades within the academic community at “Lucian Blaga” University, including recognition for his innovative approach to data mining and machine learning education. His work in automation systems, particularly in the energy sector, has also been praised for its practical applications, further solidifying his status as a leading figure in the intersection of academia and industry. Though specific awards are not listed, his consistent professional growth and contributions speak to a career filled with academic accomplishments and recognition.

ย ๐ŸŒย ย Research Focus

Daniel Morariu’s research primarily revolves around data mining, machine learning, and natural language processing. His academic focus is on extracting meaningful knowledge from unstructured data using advanced techniques such as Support Vector Machines (SVM) and neural networks. His PhD dissertation on “Contributions to Automatic Knowledge Extraction from Unstructured Data” set the foundation for his continuing research into text document processing and computational linguistics. Additionally, he explores the applications of these technologies in real-world problems, particularly in automation systems and energy sector monitoring. His work on computational linguistics helps bridge the gap between machine learning models and language understanding, while his research in data mining enhances predictive models across industries. Morariu’s blend of theoretical research and practical applications has made him a valuable contributor to advancements in these fields, influencing both academic research and industrial applications.

๐Ÿ“– Publication Top Notes

  • Feature selection methods for an improved SVM classifier
    • Cited by: 31
  • Meta-Classification using SVM Classifiers for Text Documents
    • Cited by: 27
  • The WEKA Multilayer Perceptron Classifier
    • Cited by: 22
  • Text Mining Methods Based on Support Vector Machine
    • Cited by: 22
  • Evolutionary Feature Selection for Text Documents Using the SVM
    • Cited by: 22