Mohammed Almulla | Artificial Intelligence | Best Researcher Award

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Prof. Mohammed Almulla | Artificial Intelligence | Best Researcher Award

Prof. Mohammed Almulla, Kuwait University, Kuwait

Prof. Mohammed Ali Almulla, a distinguished Kuwaiti computer scientist, serves as a Professor at Kuwait University. With a Ph.D. in Computer Science from McGill University, he has contributed extensively to academia, research, and administrative leadership. His expertise spans artificial intelligence, automated theorem proving, and IT consultancy. Prof. Almulla has held prominent roles, including Chairman of the Computer Science Department and Acting Vice President for Academic Support Services. Beyond academia, he has influenced national IT policies as an advisor. A dedicated educator and researcher, he actively supports academic development and technological innovation.

Publication Profile

Scopus

Google Scholar

🎓 Education

Prof. Mohammed Almulla earned his B.Sc., M.Sc., and Ph.D. in Computer Science from McGill University, Canada. His Ph.D. thesis, “Analysis of the Use of Semantic Trees in Automated Theorem Proving,” reflects his deep interest in artificial intelligence. His rigorous academic training equipped him with comprehensive expertise in programming, networking, and advanced computer science concepts. With a solid foundation in both theoretical and applied research, Prof. Almulla has contributed to academic growth and scientific discovery. His multilingual proficiency in Arabic and English further enhances his research collaborations and educational impact.

💼 Experience

Prof. Mohammed Almulla has an illustrious career in academia and administration. Since 1995, he has progressed from Assistant Professor to Professor at Kuwait University. He served as Chairman of the Computer Science Department, securing ABET accreditation. His leadership extended to acting roles as Vice President for Academic Support Services and Planning. Prof. Almulla also contributed as an IT Consultant for Kuwait’s Council of Ministers and led the AI Policy Implementation Committee. With decades of service in education, administration, and national IT development, his expertise remains highly influential in Kuwait’s technological landscape.

🏆 Awards and Honors

Prof. Mohammed Almulla has received numerous accolades for his academic and administrative contributions. Notably, he served as a member and coordinator of the Evaluation Committee for the H.H. Sheik Salem Al-Ali AlSabah Award for Informatics, earning recognition for his dedication to technological advancements. As a valued IT consultant and university leader, his work has significantly shaped Kuwait’s digital landscape. His participation in major university and national projects has further solidified his reputation as a pioneer in computer science and informatics.

🔎 Research Focus

Prof. Mohammed Almulla’s research interests include artificial intelligence, automated theorem proving, and decision support systems. His work explores the applications of semantic trees in AI-driven problem-solving. With a passion for advancing intelligent systems, he investigates areas like AI policy implementation and large-scale data analysis. His contributions as a reviewer for over 30 prestigious journals emphasize his influence in the field. Additionally, Prof. Almulla is committed to mentoring students and advancing AI technologies to address real-world challenges.

 

Publication Top Notes

  • 📝 The Effectiveness of the Project-Based Learning (PBL) Approach as a Way to Engage Students in Learning – 947 citations (2020)

  • 🌿 Integrated Social Cognitive Theory with Learning Input Factors: The Effects of Problem-Solving Skills and Critical Thinking Skills on Learning Performance Sustainability – 104 citations (2023)

  • 🎓 Constructivism Learning Theory: A Paradigm for Students’ Critical Thinking, Creativity, and Problem Solving to Affect Academic Performance in Higher Education – 94 citations (2023)

  • 📖 Investigating Teachers’ Perceptions of Their Own Practices to Improve Students’ Critical Thinking in Secondary Schools in Saudi Arabia – 56 citations (2018)

  • 🧠 Using Conceptual Mapping for Learning to Affect Students’ Motivation and Academic Achievement – 47 citations (2021)

  • 🏫 An Investigation of Teachers’ Perceptions of the Effects of Class Size on Teaching – 46 citations (2015)

  • 📘 The Efficacy of Employing Problem-Based Learning (PBL) Approach as a Method of Facilitating Students’ Achievement – 44 citations (2019)

  • 💻 Technology Acceptance Model (TAM) and E-Learning System Use for Education Sustainability – 38 citations (2021)

  • 🤖 Investigating Influencing Factors of Learning Satisfaction in AI ChatGPT for Research: University Students Perspective – 24 citations (2024)

  • 🧑‍🏫 Using Digital Technologies for Testing Online Teaching Skills and Competencies During the COVID-19 Pandemic – 24 citations (2022)

  • 🧑‍🤝‍🧑 An Investigation of Cooperative Learning in a Saudi High School: A Case Study on Teachers’ and Students’ Perceptions and Classroom Practices – 24 citations (2017)

  • 🏗 Investigating Important Elements That Affect Students’ Readiness for and Practical Use of Teaching Methods in Higher Education – 15 citations (2022)

  • 📊 Developing a Validated Instrument to Measure Students’ Active Learning and Actual Use of Information and Communication Technologies for Learning in Saudi Arabia’s Higher Education – 8 citations (2022)

  • 🏅 An Investigation of Saudi Teachers’ Perceptions Towards Training in Cooperative Learning – 8 citations (2016)

  • 🌐 The Changing Educational Landscape for Sustainable Online Experiences: Implications of ChatGPT in Arab Students’ Learning Experience – 5 citations (2024)

  • 📲 Investigating Students’ Intention to Use M-Learning: The Mediating Role of Mobile Usefulness and Intention to Use – 5 citations (2024)

  • 🖥 Using Digital Technologies for Testing Online Teaching Skills and Competencies During the COVID-19 Pandemic – 4 citations (2022)

  • 👫 Students’ Perceptions of the Academic and Social Benefits of Working with Cooperative Learning – 3 citations (2016)

 

 

John Mutinda | Deep learning | Best Researcher Award

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Mr. John Mutinda | Deep learning | Best Researcher Award

Mr. John Mutinda, USTC china, China

John Kamwele Mutinda is a passionate researcher currently pursuing an MSc in Machine Intelligence at the African Institute for Mathematical Sciences in Senegal. He holds a previous MSc in Mathematical Sciences from AIMS Rwanda and a BSc in Statistics from South Eastern Kenya University, where he graduated with First Class Honours. His research interests include statistical modeling, data science, and machine learning. John has significant teaching experience, having mentored high school students in mathematics and science. He has received several scholarships and awards, including the African Master’s in Machine Intelligence Scholarship. 🌍📊💻

Publication profile

Google Scholar


Education Background

Mr. John Kamwele Mutinda is currently pursuing his MSc in Machine Intelligence at the African Institute for Mathematical Sciences in Senegal (2022-2023). He previously earned an MSc in Mathematical Sciences from AIMS Rwanda, achieving an impressive cumulative GPA of 84.5/100 (Very Good Pass). John completed his BSc in Statistics at South Eastern Kenya University, graduating with First Class Honours and a GPA of 75.78/100. He also excelled in his Kenya Certificate of Secondary Education (KCSE) at Katwanyaa High School, obtaining a GPA of 67/84 (B+). 🎓📚🌍

 

Research Experience

Mr. John Kamwele Mutinda has actively contributed to significant research projects. In 2022, he modeled the impact of meteorological and air pollution parameters on COVID-19 transmission in the Western Cape Province of South Africa. He also applied Principal Component Analysis (PCA) within the health sector that same year. In 2020, John focused on modeling the human population growth rate in Kitui County, Kenya. His earlier work in 2019 involved time series modeling of infant child mortality rates in Kitui County. These experiences highlight his strong analytical skills and commitment to impactful research. 📊🌍📈

 

Teaching and Mentoring Experience

John Kamwele Mutinda has an extensive background in teaching and mentoring. In 2021, he provided tutorial services in Mathematics, Physics, and Chemistry at Katwanyaa High School, helping high school students excel academically. The previous year, he supported students in Mathematics, Agriculture, and Chemistry. His mentoring journey began in 2019, guiding students in Mathematics and Chemistry. In 2018, he taught Mathematics at Katwanyaa High School, and in 2017, he mentored students in Mathematics, Physics, and Agriculture. His commitment to education started as early as 2016 when he tutored Mathematics and Physics at Itheuni Secondary School. 📚👨‍🏫✨

 

Work Experience

John Kamwele Mutinda has diverse work experience in education and electoral roles. In 2021, he served as an Assistant Teacher and Departmental Assistant at Katwanyaa High School, where he was responsible for teaching, setting, supervising, and marking exams. He also acted as the Deputy Presiding Officer for the Independent Electoral and Boundaries Commission during the Machakos County senatorial elections. In 2019, he worked as an Enumeration Officer for the Kenya National Bureau of Statistics, conducting household and establishment surveys. Previously, in 2017, he was a Polling Clerk, responsible for verifying voters and counting votes during the general elections. In 2016, he was a Board of Management Teacher at Itheuni Secondary School, performing similar teaching duties. 📚🗳️👨‍🏫

 

Awards, Honours & Certificates

John Kamwele Mutinda has received numerous accolades for his academic and professional achievements. In 2023, he was awarded the prestigious African Master’s in Machine Intelligence Scholarship, funded by Facebook and Google, at the African Institute for Mathematical Sciences in Senegal. He also received the Next Einstein Initiative Master’s Scholarship Award in 2021. His educational accomplishments include a Certificate of Completion in Business Management from ESMT Germany and multiple Certificates of Merit in R, STATA, and SPSS from KESAP Research Centre. He has participated in various Mathematics Olympiads, earning certificates for his outstanding performance. 🎓🏆📜

 

Publication Top Notes

  • Covid-19 impact analysis: assessing African sectors-commodity, service, manufacturing, and education using mixed model approach – Cited by 1, 2023 🦠📊
  • African Institute for Mathematical Sciences (AIMS), Rwanda – Cited by 1, 2023 🇷🇼
  • Stock price prediction using combined GARCH-AI models – Cited by 0, 2024 📈🤖
  • Enhancing Obesity Detection Through SMOTE-based Classification Models: A comparative Study – Cited by 0, 2024 🏋️‍♂️🔍
  • Rainfall Pattern in Kenya: Bayesian Non-parametric Model Based on the Normalized Generalized Gamma Process – Cited by 0, 2024 🌧️📉
  • Capital Asset Pricing Model: A Renewed Application on S&P 500 Index – Cited by 0, 2024 💹📈
  • Spatial Regression Modeling of Child Survival on the Distribution of Births and Deaths in Kenya Based on the Kenya Demographic and Health Survey (KDHS) 2022 – Cited by 0, 2024 👶🌍
  • Exploring the Role of Dimensionality Reduction in Enhancing Machine Learning Algorithm Performance – Cited by 0, 2024 ⚙️📉
  • Modeling the Impact of Air Pollution and Meteorological Variables on COVID‐19 Transmission in Western Cape, South Africa – Cited by 0, 2024 🌫️🦠

 

Souhail Dhouib | Artificial Intelligence | Best Researcher Award

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Prof. Souhail Dhouib | Artificial Intelligence | Best Researcher Award

Full Professor, Higher Institute of Industrial Management, University of Sfax, Tunisia

Prof. Souhail Dhouib 🌟 is a distinguished academic and industry expert specializing in Artificial Intelligence and Operations Research. He holds the position of Full Professor at the Higher Institute of Industrial Management, University of Sfax, Tunisia, where he has taught for over twenty years. Prof. Dhouib is renowned for his pioneering work in matrix optimization concepts and has made significant contributions to decision-making and planning through his innovative algorithms and methodologies.

ProfileArtificial Intelligence 

ORCID

 

Education

Prof. Dhouib completed his Ph.D. in Quantitative Methods from the Faculty of Management and Economics Sciences, Sfax University, Tunisia (2004-2009). He also holds a Master’s degree in Operations Research and Production Management (2001-2003) and a Bachelor’s degree in Management Information Systems (1992-1996), all from the same institution. 📚🎓

Experience

Prof. Dhouib has over twenty years of extensive experience in both academia and industry. He has served as a General Manager and an Analyst Programmer, where he was involved in software development and implementation. His academic roles include positions as a Full Professor, Associate Professor, and Assistant Professor, contributing significantly to teaching and research. 🏢💻

Research Interests

Prof. Dhouib’s research focuses on Artificial Intelligence, Operations Research, and Optimization algorithms. His work spans various domains, including Logistics, Supply Chain Management, Business Intelligence Systems, and ERP. He is particularly known for his Dhouib-Matrix methods and their applications in cognitive robotics, multi-objective optimization, and path planning. 🔍📈

Awards

Prof. Dhouib’s contributions to the field have been recognized through numerous journal publications, although specific awards are not listed in the provided information. His innovative research and development efforts continue to impact the industry and academia. 🏆👏

Publications

Intelligent Path Planning for Cognitive Mobile Robot Based on Dhouib-Matrix-SPP Method (2024) – Cognitive Robotics

Multi-Start Constructive Heuristic through Descriptive Statistical Metrics: The Dhouib-Matrix-4 Metaheuristic (2024) – International Journal of Operational Research

Innovative Method to Solve the Minimum Spanning Tree Problem: The Dhouib-Matrix-MSTP (DM-MSTP) (2024) – Results in Control and Optimization

Enhancing the Dhouib-Matrix-4 Metaheuristic to Generate the Pareto Non-Dominated Set Solutions for Multi-objective Travelling Salesman Problem: The DM4-PMO Method (2024) – Results in Control and Optimization

Faster than Dijkstra and A* Methods for the Mobile Robot Path Planning Problem Using Four Movement Directions: The Dhouib-Matrix-SPP-4 (2024) – Advances in Transdisciplinary Engineering, Mechatronics and Automation Technology