Ghaziyah Alsahli | Functional analysis | Best Researcher Award

Published on by Invention Awards

Dr. Ghaziyah Alsahli | Functional analysis | Best Researcher Award

Jouf university, Saudi Arabia

Profile

ORCID

🎓 Early Academic Pursuits

Dr. Ghaziyah Al-Sahli began her academic journey with a B.Sc. in Mathematics from Jouf University in 2006, where her foundational knowledge and interest in mathematical theories took root. She furthered her expertise by earning an M.Sc. in Mathematics from King Saud University in 2017, delving deeper into advanced mathematical structures and abstract reasoning. Her academic rigor culminated in a Ph.D. in Mathematics from King Abdulaziz University in 2024, with her doctoral research focusing on proximity point theory and iterative schemes, especially in applications related to recycling systems and health sciences.

👩‍🏫 Professional Endeavors

Dr. Al-Sahli has served at Jouf University for over a decade, transitioning from Lecturer and Researcher (2009–2024) to Assistant Professor in 2024. In her current role within the Department of Mathematics at the College of Science, she teaches both undergraduate and graduate-level courses, supervises student theses, and spearheads research in best proximity points and convergence algorithms. Her academic leadership extends to participation in curriculum development and involvement in university committees, contributing meaningfully to institutional growth and innovation.

🔬 Contributions and Research Focus

An established scholar in fixed point theory, proximity point methods, and iterative algorithms, Dr. Al-Sahli has carved a niche in analyzing and designing mathematical frameworks that have real-world applications in health sciences, optimization, and recycling models. Her body of work includes in-depth explorations of rational contractions, perturbed metric spaces, multi-cubic mappings, and functional equations—each aimed at enriching mathematical understanding and its interdisciplinary applications.

🌍 Impact and Influence

Dr. Al-Sahli's influence extends beyond the classroom and journal pages. She is a frequent presenter at international mathematics conferences, including sessions in Romania, India, and Saudi Arabia. Her presence in global academic circles highlights her role as a thought leader in her discipline. She is a consultant project manager for the Ecosphere Initiative and an active member of the Heritage Initiative Working Group, showcasing her commitment to environmental and cultural sustainability through science and education.

📚 Academic Citations and Publications

Her prolific publication record reflects her active engagement in scholarly dialogue. Notable papers include:

  • “Convergence Theorems for Minimization of Best Proximity Points” (2024)

  • “Convergence of an Iterative Scheme for Reich Type Non-self Nonexpansive Mappings” (2024)

  • “On Rational Contractions in Perturbed Metric Spaces” (2025)

  • “On Approximate Multi-Cubic Mappings in 2-Banach Spaces” (2025)
    In addition to publishing in indexed journals, she has also contributed to two upcoming books focused on the applications of fixed point theory, further cementing her scholarly presence.

🧠 Technical & Research Skills

Dr. Al-Sahli combines theoretical rigor with technical fluency. She is proficient in Matlab and other mathematical tools essential for modeling, simulation, and analytical verification. Her skill set supports her innovative work in developing iterative algorithms and convergence schemes, which are foundational to many modern scientific challenges.

👩‍🏫 Teaching and Mentorship Experience

Dr. Al-Sahli’s teaching philosophy revolves around clarity, rigor, and student engagement. Her courses in pure and applied mathematics are complemented by active mentorship of graduate students, especially in thesis supervision and research design. She fosters a collaborative learning environment and encourages critical thinking and inquiry-based learning.

🌟 Leadership, Legacy & Future Contributions

With a Leadership Certificate in Change Leadership (LC-CBP) and active involvement in scientific workshops, Dr. Al-Sahli embodies the role of an academic leader who bridges research, education, and community development. Her membership in the Mathematics Association at King Saud University (2025–present) and ongoing volunteer work point to a future rich in contributions to both national and international mathematical communities. She is poised to lead transformative educational initiatives and further interdisciplinary applications of mathematics.

Selected Publications

  • Title: On rational contractions in perturbed metric spaces
    Authors: Ghaziyah Al-Sahli
    Journal: (Not specified)
    Year: 2025

  • Title: On perturbed s-contractions
    Authors: Ghaziyah Al-Sahli
    Journal: (Not specified)
    Year: 2025

  • Title: Fixed point results on interpolative metric spaces via Aimuation functions
    Authors: Ghaziyah Al-Sahli
    Journal: (Not specified)
    Year: 2025

  • Title: A system of generalized quadratic functional equations and fuzzy difference results
    Authors: Ghaziyah Al-Sahli
    Journal: (Not specified)
    Year: 2025

  • Title: Approximation of two systems of radical functional equations related to quadratic and quartic mappings
    Authors: Ghaziyah Al-Sahli
    Journal: (Not specified)
    Year: 2025

Dr. Ali Saleh | Transportation | Best Researcher Award

Published on by Invention Awards

Dr. Ali Saleh | Transportation | Best Researcher Award

Széchenyi István University, Germany.

Ali Saleh is a dedicated Syrian 🇸🇾 Civil Engineer and Ph.D. researcher specializing in road engineering and sustainable asphalt technology. With years of hands-on experience in both academia and infrastructure development, Ali blends practical engineering skills with cutting-edge research. He is particularly focused on asphalt mixture optimization using AI and neural networks. Currently based in Germany 🇩🇪, Ali seeks to contribute to advanced civil engineering innovations worldwide.

Profile

Orcid

🎓 Education

Dr. Ali Saleh holds a Ph.D. in Engineering Sciences from Széchenyi István University, Hungary (2020–2024), where he engaged in cutting-edge research within the field of civil engineering. Prior to his doctoral studies, he completed both a Master of Science in Civil Engineering (2015–2019) and a Bachelor of Science in Civil Engineering (2007–2013) at Tishreen University, Syria. Dr. Saleh’s academic background showcases a strong foundation in structural analysis, a deep commitment to infrastructure development, and a progressive trajectory in engineering sciences.

💼 Experience

In addition to his academic achievements, Dr. Ali Saleh brings valuable professional and teaching experience in the field of civil engineering. He worked as a Civil Engineer at Latakia Port, Syria (2014–2020), where he managed and supervised major infrastructure projects from design through execution, ensuring strict adherence to deadlines and quality standards. Alongside his engineering role, he served as a Lecturer at Tishreen University (2016–2019), where he delivered core civil engineering lectures and guided students academically. He also contributed to technical education as an Instructor at Omega Institute (2018–2019), teaching AutoCAD and Civil 3D to aspiring engineers, bridging theoretical knowledge with practical application.

🔬 Research Interests

♻️ Reclaimed Asphalt Pavement (RAP)

🧠 Machine Learning & Neural Networks in Civil Engineering

🌱 Sustainable Road Construction

🛣️ Bitumen Foaming and Asphalt Performance

📊 Pavement Testing and ITS/HWTT Data Modeling

🏆 Awards & Innovations

🛠️ Invention: Designed a bitumen foaming machine

🏅 Recognized for contributions in road project sustainability and environmental research at various international conferences.

📚 Selected Publications

🛣️ Warm Mix Asphalt (WMA) & Reclaimed Asphalt Pavement (RAP) Research

1. Machine Learning Modelling the Rut Depth of WMA Mixtures with Variable RAP and Foamed Bitumen Content

Journal: Dorogi i mosti (October 9, 2024)
DOI: 10.36100/dorogimosti2024.30.138
Highlights:

Utilizes machine learning models to predict rutting behavior in WMA.

Investigates performance effects of variable RAP and foamed bitumen levels.

Promotes data-driven pavement design and performance prediction.

2. Modelling Indirect Tensile Strength of Warm Mix Asphalt with Variable RAP Content

Journal: Dorogi i mosti (October 9, 2024)
DOI: 10.36100/dorogimosti2024.30.157
Highlights:

Focuses on indirect tensile strength (ITS) behavior of WMA mixtures.

Models mechanical performance under different RAP inclusion rates.

Supports RAP optimization for maintaining structural integrity.

3. Environmental Impacts of Using Foamed Asphalt

Journal: Dorogi i mosti (April 25, 2023)
DOI: 10.36100/dorogimosti2023.27.296
Highlights:

Evaluates environmental implications of foamed asphalt in road construction.

Considers emissions, energy savings, and recyclability.

Lays groundwork for greener road-building practices.