Prof. Nawaf Hamadneh, Saudi Electronic University, Saudi Arabia
Prof. Nawaf N. Hamadneh is a distinguished academic in Applied Mathematics with a specialization in Artificial Intelligence at Saudi Electronic University. Since earning his Ph.D. from Universiti Sains Malaysia in 2013, he has become a prolific researcher, contributing over 80 scientific publications. His expertise spans artificial neural networks, thermal system optimization, and the application of AI in economics and e-learning.
Profile 🌟
Googlescholar
Based on the information provided about Prof. Nawaf N. Hamadneh, here is an analysis regarding his suitability for the “Best Paper Award,” including strengths, areas for improvement, and a conclusion:
Strengths for the Award 💪🏆
Extensive Research Output: Prof. Hamadneh has published over 80 scientific papers, showcasing his prolific contribution to the field of applied mathematics and artificial intelligence. His significant publication record indicates a high level of research activity and impact.
Diverse Research Areas: His research spans several cutting-edge areas including Artificial Neural Networks, optimization algorithms, heat transfer modeling, and artificial intelligence applications. This diversity highlights his broad expertise and ability to tackle complex problems.
High Citation Index: With a citation index of 1774, Prof. Hamadneh’s work has been widely recognized and referenced by peers in the field. This high citation count is a strong indicator of the relevance and influence of his research.
Funded Research Projects: His involvement in multiple funded research projects demonstrates his ability to attract and manage research funding, a key component of impactful research. The grants from the Deanship of Scientific Research at Saudi Electronic University underscore the support and recognition his work has received.
Editorial and Collaborative Roles: Serving on the editorial board of the Journal of Innovative Digital Transformation and participating in collaborative research projects show his active role in the academic community and his contributions to advancing his field.
Books and Patents: Publication of books and ongoing patents suggest that his research not only contributes to academic knowledge but also has practical applications and potential commercial impact.
Areas for Improvement 🚀📈
Focus on Recent High-Impact Papers: While Prof. Hamadneh’s publication record is impressive, focusing on highlighting recent high-impact papers that have made significant contributions to his field could strengthen his nomination for the Best Paper Award.
Demonstrate Paper Impact: Providing more specific information on the impact of his papers, such as groundbreaking findings or notable applications of his research, would enhance his candidacy. This could include details on how his work has influenced subsequent research or practice.
Clarify Best Paper Nomination: It would be beneficial to specify which of his papers is being nominated for the Best Paper Award and provide a detailed rationale for why this particular paper stands out. This helps in clearly demonstrating the merit of the nominated work.
Increase Public and Industry Engagement: Greater emphasis on how his research is being applied in industry or its implications for societal advancements could further bolster his case. Engaging more with the public or industry could also highlight the broader impact of his work.
Education 🎓
Prof. Hamadneh received his Ph.D. in Applied Mathematics from Universiti Sains Malaysia in 2013. His academic journey laid a strong foundation for his research in AI, optimization algorithms, and heat transfer modeling, contributing significantly to his current role as a faculty member at Saudi Electronic University.
Experience 💼
With over a decade of academic and research experience, Prof. Hamadneh has held various faculty positions, focusing on research in Artificial Intelligence, Optimization Algorithms, and Logic Programming. He is a member of the editorial board for the Journal of Innovative Digital Transformation and has collaborated on multiple funded research projects within the university.
Research Interest 🔍
Prof. Hamadneh’s research interests lie in Artificial Intelligence, specifically in Artificial Neural Networks, Optimization Algorithms, and Modeling. His work includes optimizing thermal systems, modeling AI in economics, and advancing e-learning technologies. His ongoing projects are supported by the Deanship of Scientific Research at Saudi Electronic University.
Awards 🏆
Prof. Hamadneh has been recognized for his significant contributions to applied mathematics and artificial intelligence. He is actively involved in funded research projects and has authored impactful books and numerous journal articles, earning him recognition within the academic community.
Publications Top Notes 📄
Estimating Volatility of Saudi Stock Market Using Hybrid Dynamic Evolving Neural Fuzzy Inference System Models
Student Adoption of E-Learning in Higher Education Institutions in Saudi Arabia: Opportunities and Challenges
The determinants of Saudi Arabians’ attitudes of E-learning System using GMDH and dce-GMDH models
Forecasting Stock Volatility Using Wavelet-based Exponential Generalized Autoregressive Conditional Heteroscedasticity Methods
International Journal of Swarm Intelligence Research (IJSIR)
Gender Sensitivity in Accessing Healthcare Services: Evidence from Saudi Arabia
Using artificial intelligence to predict students’ academic performance in blended learning
Numerical analysis of heat and mass transfer in micropolar nanofluids flow through lid driven cavity: Finite volume approach
A quantum fractals theory of the pions chaos and their futuristic applications with granular sources
Modification of the optimal auxiliary function method for solving fractional order KdV equations
Conclusion ✨🔍
Prof. Nawaf N. Hamadneh is a highly qualified candidate for the Best Paper Award, given his extensive research output, high citation index, and contributions to various advanced fields. His diverse research areas and funded projects reflect his strong impact on applied mathematics and artificial intelligence. To further enhance his candidacy, he should focus on presenting recent high-impact papers, detailing their specific contributions, and demonstrating how his work has made a broader impact in both academic and practical contexts. If he addresses these areas effectively, he will be well-positioned for the award.