Prof. Hanaa Abu-Zinadah | Statistical Inference | Women Researcher Award | 2076

Prof. Hanaa Abu-Zinadah | Statistical Inference | Women Researcher Award

šŸ‘©ā€āš•ļøProf. Hanaa Abu-Zinadah | Tufts University | United States

Prof. Hanaa Abu-Zinadaha distinguished academic and researcher in the field of renewable energy, holds a PhD in Biosystems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

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Ā šŸ“š Academic Journey:

Hana Hussien Mohssen Abuznadah embarked on a remarkable academic journey, earning her Bachelor’s degree in Mathematics from the General Directorate of Girls Colleges in Jeddah, Kingdom of Saudi Arabia, in 1997. With excellence and honor, she pursued her Master’s degree at the Girls College of Education-Scientific Section, specializing in Statistics, completing it in 2001.Her academic fervor continued as she delved into a Doctorate program at the same institution, earning her Ph.D. in Mathematical Statistics in 2006. Her thesis on “Statistical Inference about Rayleigh Density Function and its Parameter” and later research on the “Exponentiated Pareto Distribution” showcased her dedication to statistical studies.

šŸ‘©ā€šŸ« Teaching Odyssey:

Hana’s teaching career commenced at Palms School in Jeddah, Saudi Arabia, where she served as a Teacher from 1997 to 1998. She then transitioned to the Girls College of Education, Scientific Section, Department of Mathematics, holding roles as Teacher Assistant, Lecturer, and eventually Assistant Professor from 1998 to 2007. Furthering her career, she became an Associate Professor at King Abdulaziz University and later joined the University of Jeddah, where she currently holds the position of Professor in the College of Sciences, Department of Mathematics and Statistics.

šŸ‘©ā€šŸ”¬ Academic Leadership:

Throughout her tenure, Hana has been an integral part of various committees and played key roles in academic development. Notably, she served as the Head of the department in the Girls Branch, a member of the Committee of Graduate Studies and Scientific Research, and a coordinator for Statistics and Computer courses during her illustrious career.

šŸŒ Workshops and Conferences:

Hana actively participated in numerous academic events, including book fairs, scientific forums, and international conferences. Her engagement in conferences like the OSDI Conference in Jordan and the German Open Conference on Probability and Statistics reflects her commitment to staying abreast of global advancements in her field.

šŸ† Awards and Recognition:

Hana’s contributions to the field were recognized when her article, “Numerical Solution of Traveling Waves in Chemical Kinetics,” secured the first place for Highly Cited and Hot Papers among University of Jeddah publications in 2022. Additionally, her acknowledgment by Elsevier as a top OpenAccess contributor attests to her impact on open science.

šŸ” Research Interests

With a focus on Distribution Theory, Statistical Inferences, Order Statistics, and Record Values, Hana is dedicated to advancing statistical knowledge. Her expertise extends to programming languages like Fortran, C++, and statistical analysis using SPSS, showcasing her versatile skill set.

šŸŒŸ Conclusion:

Hana Hussien Mohssen Abuznadah stands as a beacon of academic excellence and leadership in the realm of statistics. Her multifaceted career, extensive teaching experience, and impactful research underscore her significant contributions to the field of mathematics and statistics. šŸŽ“šŸ“ŠšŸ†

šŸ“ŠĀ Citation Metrics (Google Scholar):

Citations by: All ā€“ 1030, Since 2018 ā€“ 875

h-index: All ā€“ 17, Since 2018 ā€“ 15

i10 index: All ā€“ 25, Since 2018 ā€“ 21

šŸ“– PublicationsĀ  Top Note :

Numerical solution of traveling waves in chemical kinetics: time-fractional fishers equationsĀ  Ā paper publication in

Exponentiated Pareto distribution: different method of estimationsĀ  Ā  paper publication inĀ  September 2009 cite by 77

Novel computational and accurate numerical solutions of the modified Benjaminā€“Bonaā€“Mahony (BBM) equation arising in the optical illusions field Ā paper publication in 2001 cite by 74

Analysis and challenges of robust E-exams performance under COVID-19Ā  Ā paper publication in Ā 2001 cite by 63

A Study on Mixture of Exponentiated Pareto and Exponential Distributions, INSInet PublicationĀ  Ā  paper publication in 2010 cite by 37

Mathematical simulation of casson MHD flow through a permeable moving wedge with nonlinear chemical reaction and nonlinear thermal radiation Ā  Ā paper publication in 2022 cite by 32

Mooreā€“Gibsonā€“Thompson thermoelasticity model with temperature-dependent properties for thermo-viscoelastic orthotropic solid cylinder of infinite length under a temperature pulse Ā  Ā paper publication in 2009 cite by 29

Some characterizations of the exponentiated Gompertz distribution Ā  Ā paper publication in 2014 cite by 29

Study on the applications of two analytical methods for the construction of traveling wave solutions of the modified equal width equation Ā  Ā  Ā  paper publication in 2020 cite by 28

Characterizations of the exponentiated Pareto distribution based on record valuesĀ  Ā  Ā  paper publication in 2008 cite by 27

 

 

Dr. Yi Sun l Quantitative risk assessment | Best Researcher Award

Dr. Yi Sun | Quantitative risk assessment | Best Researcher Award

šŸ‘©ā€āš•ļø Dr. Yi Sun Institute for Occupational Safety and Health of the German Social Accident Insurance University, Germany

Dr. Yi Sun a distinguished academic and researcher in the field of renewable energy, holds a PhD in Biosystems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles

Orcid profile

Scopus profile

šŸ”¬ Professional Profile

Occupational epidemiology expert with a focus on epidemiological methods, exposure assessment, and quantitative risk evaluation. Dr. Sun serves as a senior epidemiologist and consultant at the German Social Accident Insurance (DGUV), specializing in:

Regulatory risk assessment for work-related hazards Defining and recognizing occupational diseases based on evidence Evaluating research applications and final reports from various projects Peer-reviewing for esteemed international journals like OEM, European Journal of Epidemiology, International Archives of Occupational and Environmental Health, among others.

šŸ” Research Projects

Dr. Sun has contributed to various epidemiological projects covering osteoarthritis, macular degeneration, breast cancer etiology, lung cancer screening among radon-exposed workers, respiratory health effects, and more. These studies span diverse worker groups, including those in the rubber industry, coal tar refineries, and workers exposed to silica dust and diesel exhaust.

šŸ‘Øā€šŸ’¼ Employment History

Present: Applied Epidemiology at Institute of Occupational Safety and Health (BGIA), German Social Accident Insurance

University of MĆ¼nster, Institute of Epidemiology and Social Medicine

University of Ulm, Department of Epidemiology

Beijing Quarantine Service, China

šŸ“š Education

University of Essen: Doctor of Medicine (MD)

Beijing University, Medical Division: Bachelor of Preventive Medicine (Public Health)

šŸ—£ļø Languages

Chinese: Native proficiency

German: Fluent (written and spoken)

English: Fluent (written and spoken)

šŸ“– PublicationsĀ  Top Note :

Development and Validation of a Practical Instrument for Injury Prevention: The Occupational Safety and Health Monitoring and Assessment Tool (OSH-MAT)Ā Ā  paper publication in June 2018

Exposureā€“response relationship and doubling risk dosesā€”a systematic review of occupational workload and osteoarthritis of the hip Ā  Ā  paper publication in 30 September 2019 cite by 4