Ahmed Afify | Statistics | Best Paper Award

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Assoc Prof Dr. Ahmed Afify | Statistics | Best Paper Award

Associate Professor at Benha University, Egypt.

Dr. Ahmed Z. Afify is an esteemed Associate Professor at Benha University, Egypt, specializing in statistics, with a focus on distribution theory, Bayesian statistics, and reliability estimation. He holds a Ph.D. in Statistics and has made significant contributions to the field, reflected in his high H-index across multiple platforms, including Google Scholar (39) and Scopus (30). Dr. Afify has published numerous research articles in reputable journals and serves on the editorial boards of several scientific publications. He has received multiple awards for his research excellence, including the Best PhD Thesis Award in Basic Sciences from Benha University. In addition to his research, he actively supervises PhD and MSc students and conducts workshops on international scientific publishing. Dr. Afify’s commitment to advancing statistical methodologies and education underscores his reputation as a leading figure in his field. His ongoing research initiatives and mentorship demonstrate his dedication to fostering the next generation of statisticians.

Profile:

Education

Dr. Ahmed Z. Afify holds a Ph.D. in Statistics from Benha University, Egypt, awarded in 2018. His dissertation, titled “Some New Generated Families of Distributions with Applications,” reflects his research focus on distribution theory. Prior to this, he earned a Master of Science degree in Statistics from the same institution in 2013, where his thesis explored the characterization of probability distributions. Dr. Afify began his academic journey with a Bachelor of Science in Statistics from Benha University in 2007. Throughout his educational career, he has developed a strong foundation in statistical analysis, probability theory, and parametric inference, which has significantly contributed to his research and teaching expertise. His academic credentials are further complemented by numerous awards for excellence in research, including recognition for the best PhD thesis in basic sciences at Benha University in 2020, showcasing his commitment to advancing the field of statistics.

Professional Experiences 

Dr. Ahmed Z. Afify has an extensive academic career in the field of statistics, currently serving as an Associate Professor at the Faculty of Business, Benha University, Egypt. His journey began as a Demonstrator from 2008 to 2013, followed by a position as an Assistant Lecturer until 2018. Dr. Afify then transitioned to Assistant Professor, where he further developed his expertise and teaching capabilities in various statistical disciplines. In 2023, he was promoted to Associate Professor, reflecting his significant contributions to research and education. Throughout his career, he has engaged in numerous research projects focused on distribution theory, Bayesian statistics, and reliability estimation, leading to publications in reputable journals. Dr. Afify has also played a vital role in academic supervision, guiding both national and international Ph.D. candidates, thus enriching the academic landscape and contributing to the advancement of statistical sciences in Egypt and beyond.

Research Interests

Dr. Ahmed Z. Afify’s research interests predominantly lie in the realm of statistics, with a focus on distribution theory and its various applications. He explores parametric inference, reliability estimation, and Bayesian statistics, aiming to enhance statistical methodologies and their practical implications. Dr. Afify’s work also encompasses advanced statistical analysis techniques, including accelerated life testing and regression analysis. By developing new families of distributions, he seeks to address real-world challenges across different fields, such as actuarial sciences, medicine, and engineering. His innovative research not only contributes to theoretical advancements in statistics but also provides practical solutions to complex problems, showcasing the versatility and importance of statistical methodologies in diverse applications. Through his dedication to both teaching and research, Dr. Afify fosters a deep understanding of statistical principles among students and colleagues, promoting the application of statistical techniques in various domains.

Research Skills 

Dr. Ahmed Z. Afify possesses a robust array of research skills that significantly contribute to his expertise in statistics and data analysis. His proficiency in distribution theory and parametric inference enables him to develop innovative statistical models, particularly in reliability estimation and Bayesian statistics. Dr. Afify’s experience in accelerated life testing and regression analysis showcases his ability to apply complex statistical methodologies to real-world problems. His research is underpinned by a solid foundation in statistical software, including R and SPSS, which he adeptly utilizes for data analysis and modeling. Furthermore, Dr. Afify’s strong academic background, complemented by his role as an international supervisor for PhD students, highlights his commitment to fostering emerging researchers. His editorial contributions to various scientific journals reflect his critical thinking and analytical skills, while his publication record demonstrates his ability to conduct high-quality, impactful research in both theoretical and applied statistics.

Award and Recognition 

Dr. Ahmed Z. Afify has garnered significant recognition for his contributions to the field of statistics, exemplified by multiple awards from Benha University. He has received the prestigious Excellence in Scientific Research award since 2018, highlighting his impactful work in the discipline. Notably, his Ph.D. thesis was awarded the Best PhD Thesis in Basic Sciences for 2020, underscoring the innovative nature of his research. In 2024, he received the Benha University Encouragement Award in Basic Sciences, further acknowledging his ongoing contributions to academic excellence. His involvement in international conferences, such as the 62nd ISI World Statistics Congress, along with his editorial roles in reputable journals, further enhances his profile as a leading statistician. Dr. Afify’s commitment to research and education, combined with his achievements, reflects his dedication to advancing statistical science and mentoring future scholars in the field.

Conclusion

Dr. Ahmed Z. Afify is an outstanding candidate for the Research for Outstanding Scientist Award. His strong academic record, impressive citation metrics, and leadership in student mentorship and editorial work speak volumes about his contributions to the field of statistics. To further enhance his candidacy, expanding his interdisciplinary reach and industrial collaborations could significantly bolster his already remarkable profile.

Publication Top Notes
  1. Properties, estimation, and applications of the extended log-logistic distribution
    • Authors: Kariuki, V., Wanjoya, A., Ngesa, O., Aljohani, H.M., Afify, A.Z.
    • Year: 2024
    • Journal: Scientific Reports
    • Volume/Issue/Page: 14(1), 20967
  2. The exponentiated-Weibull proportional hazard regression model with application to censored survival data
    • Authors: Ishag, M.A.S., Wanjoya, A., Adem, A., Alghamdi, A.S., Afify, A.Z.
    • Year: 2024
    • Journal: Alexandria Engineering Journal
    • Volume/Issue/Page: 104, pp. 587–602
  3. A unified exponential-H family for modeling real-life data: Properties and inference
    • Authors: Jamal, F., Alqawba, M., Altayab, Y., Iqbal, T., Afify, A.Z.
    • Year: 2024
    • Journal: Heliyon
    • Volume/Issue/Page: 10(6), e27661
  4. A New Zero-Inflated Regression Model with Applications to Australian Health Survey and Biochemistry Graduate Students Data
    • Authors: Taniş, C., Mansour, M.M., Abd Elrazik, E.M., Al-Mofleh, H., Afify, A.Z.
    • Year: 2024
    • Journal: Journal of Mathematics
    • Volume/Issue/Page: 2024, 4081833
  5. The accelerated failure time regression model under the extended-exponential distribution with survival analysis
    • Authors: Kariuki, V., Wanjoya, A., Ngesa, O., Abd Elrazik, E.M., Afify, A.Z.
    • Year: 2024
    • Journal: AIMS Mathematics
    • Volume/Issue/Page: 9(6), pp. 15610–15638
  6. The Lambert-G Family: Properties, Inference, and Applications
    • Authors: Al Abbasi, J.N., Afify, A.Z., Alnssyan, B., Shama, M.S.
    • Year: 2024
    • Journal: CMES – Computer Modeling in Engineering and Sciences
    • Volume/Issue/Page: 140(1), pp. 513–536
  7. Exponentiated Weibull Mixture Cure Model to Handle Right-Censored Data Set
    • Authors: Ishag, M.A.S., Wanjoya, A., Adem, A., Afify, A.Z.
    • Year: 2024
    • Journal: Springer Proceedings in Mathematics and Statistics
    • Volume/Issue/Page: 439, pp. 241–251
  8. A new one-parameter flexible family with variable failure rate shapes: Properties, inference, and real-life applications
    • Authors: Mahran, H., Mansour, M.M., Abd Elrazik, E.M., Afify, A.Z.
    • Year: 2024
    • Journal: AIMS Mathematics
    • Volume/Issue/Page: 9(5), pp. 11910–11940
    • Citations: 1
  9. THE EXTENDED-EXPONENTIAL DISTRIBUTION: PROPERTIES, ESTIMATION METHODS, AND APPLICATIONS
    • Authors: Al-Mofleh, H., Hussein, E.A., Afify, A.Z., Alnssyan, B., Abdellatif, A.D.
    • Year: 2023
    • Journal: Journal of Applied Probability and Statistics
    • Volume/Issue/Page: 18(3), pp. 51–80
  10. The Extended Log-Logistic Distribution: Properties, Inference, and Applications in Medicine and Geology
    • Authors: Afify, A.Z., Hussein, E.A., Alnssyan, B., Mahran, H.A.
    • Year: 2023
    • Journal: Journal of Statistics Applications and Probability
    • Volume/Issue/Page: 12, pp. 1555–1580
    • Citations: 1

 

 

Dian Kusumaningrum | Statistics | Best Researcher Award

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Mrs. Dian Kusumaningrum | Statistics | Best Researcher Award

Distinguished Professor of Biomaterials of Tecnologico de Monterrey, Mexico.

Dian Kusumaningrum is a distinguished researcher and lecturer specializing in statistics and data science. She holds a Bachelor’s and Master’s degree in Statistics from IPB University and is currently pursuing a PhD in Statistics and Data Science at the same institution. Her impressive achievements include multiple research grants and scholarships, such as the SEARCA PhD Full Scholarship and SEARCA Conference Grants. Dian’s research focuses on crop insurance, Bayesian methods, and agricultural statistics, contributing significantly to the development of innovative models for agricultural sustainability. Her extensive experience includes roles as a researcher, consultant, and lecturer at prominent institutions. She has also presented at numerous international conferences and published extensively in respected journals. Dian’s dedication to advancing statistical methods and their applications in agriculture underscores her suitability for the Best Researcher Award.

Profile
Education

Dian Kusumaningrum’s educational background is marked by a strong foundation in statistics and data science. She earned her Bachelor’s degree in Statistics from IPB University, Faculty of Mathematics and Natural Sciences, in 2004. Continuing her academic journey, she completed her Master’s degree in Statistics from the same institution in 2010, supported by a scholarship from the Ministry of Education, Indonesia. Currently, she is pursuing her PhD in the Department of Statistics and Data Science at IPB University, a program which she started in 2020. Throughout her academic career, she has been recognized for her dedication and excellence, receiving various scholarships and research grants, including the SEARCA PhD Full Scholarship and SEARCA Research Grant. Her studies have consistently focused on advancing statistical methodologies and their applications, contributing to her expertise in actuarial science and data analysis.

Professional Experience

Dian Kusumaningrum has extensive professional experience in both academia and research. She began her career as a Co-Broadcaster at RRI PRO 1 Bogor and later served as a private English teacher and back data cleaner at AC Nielsen. Her expertise in statistics and data science was honed through various roles, including as a Research Assistant at UNESCAP-CAPSA and a lecturer at multiple institutions, such as Bogor Agriculture University and Prasetiya Mulya University. Kusumaningrum also held significant positions as a Statistician Lead at DAFEP Research and for various research collaborations with organizations like the World Bank and USAID. She has managed numerous research projects, including crop insurance policy development and statistical modeling for energy and financial sectors. Her contributions extend to leading statistical and actuarial product development, reflecting her significant impact on statistical research and applied data science.

Research Interest

Dian Kusumaningrum’s research interests are centered around the application of statistical methodologies to address complex problems in agriculture, economics, and risk management. Her work extensively explores the development and optimization of crop insurance policies, particularly focusing on Bayesian approaches and generalized linear mixed models to enhance agricultural productivity and farmer income sustainability. Kusumaningrum’s research also delves into the integration of climate change and smart agriculture into educational curricula, aiming to improve understanding and adaptation strategies. She has a keen interest in applying statistical and actuarial models to analyze and mitigate risks associated with agricultural practices and economic sustainability. Her commitment to advancing knowledge in these areas is demonstrated through her involvement in various national and international research projects and conferences, contributing to the development of innovative solutions for pressing challenges in agriculture and risk management.

Research Skills

Dian Kusumaningrum demonstrates exceptional research skills across a variety of statistical and data science domains. Her expertise spans Bayesian methods, small area estimation, and actuarial modeling, particularly in the context of crop insurance and food security. With extensive experience in data analysis and statistical consulting, Dian has successfully led numerous research projects, including those with international collaborations such as the World Bank and UNESCAP-CAPSA. Her proficiency in developing and applying complex models, such as the Bayesian Beta mixed regression model and generalized linear mixed models, highlights her advanced analytical capabilities. Additionally, Dian’s ability to present and publish her findings in reputable journals and conferences showcases her strong communication skills and her commitment to advancing knowledge in her field. Her diverse experience in teaching, research mentorship, and consultancy further underscores her comprehensive skill set and dedication to impactful research.

Awards and Recognition

Dian Kusumaningrum has garnered notable recognition throughout her academic and professional career. Her achievements include being awarded the Master Degree Program Scholarship and Research Grant Awardee from the Ministry of Education Indonesia, showcasing her commitment to advancing research in statistics. She has also received the SEARCA PhD Full Scholarship and multiple SEARCA Conference Grants, reflecting her excellence in academia and research. Her contributions to crop insurance development and statistical methodologies have been recognized through grants and awards from READI and STEM Prasetiya Mulya. Additionally, her international engagements, including the JASSO SUIJI Exchange Program and participation in various prestigious conferences, underline her global impact. Kusumaningrum’s extensive involvement in research and education is further highlighted by her numerous presentations and publications, cementing her reputation as a leading figure in her field.

Conclusion

Dian Kusumaningrum is a highly qualified candidate for the Research for Best Researcher Award. Her extensive educational background, notable achievements, and substantial contributions to research and teaching make her a standout candidate. By broadening her research scope and increasing international collaborations, she could further strengthen her position as a leading researcher in her field. Her commitment to both academic excellence and practical applications in statistics and data science reflects a well-rounded and impactful career.

Publications Top Notes

  1. Beta four parameter GLMM approach to evaluate paddy productivity
    • Authors: Kusumaningrum, D., Wijayanto, H., Notodiputro, K.A., Ardiansyah, M., Kurnia, A.
    • Year: 2024
  2. Comparison of Multi-satellite Rainfall Data in Runoff Model
    • Authors: Harsanto, P., Kusumaningrum, D., Legono, D., Rahardjo, A.P., Jayadi, R.
    • Year: 2024
  3. Area Yield Index and Multi-peril Crop Insurance Model Profitability Analysis
    • Authors: Suprajetno, R.I., Kusumaningrum, D., Sutomo, V.A., Anisa, R.
    • Year: 2023
  4. Pure Premium Calculation of Dry Weather-Based Insurance for Wonogiri Farmers
    • Authors: Paramita, A., Sari, F., Kusumaningrum, D., Sutomo, V.A.
    • Year: 2023
  5. Net Premium Determination of Reversionary Annuity Using Markovian Approach
    • Authors: Suardijaya, I.K.A., Kusumaningrum, D., Tobing, P.L., Tauryawati, M.L.
    • Year: 2023
  6. Premium Calculation for Paddy Plant Business Insurance (PPBI) and Microcredit Integration Program
    • Authors: Aldyan, K., Kusumaningrum, D., Hidayat, A.S.E., Sutomo, V.A.
    • Year: 2023
  7. Paddy Farmers Profiling and Estimation of Willingness to Pay Towards the AUTP and KUR Integration Program
    • Authors: Novita, L., Kusumaningrum, D., Saraswati, D.
    • Year: 2023
  8. Bayesian Premium Calculations of Multiperil Crop Insurance (MPCI) Based on Bayesian Beta Mixed Regression Model
    • Authors: Kusumaningrum, D., Sundari, M., Kurnia, A.
    • Year: 2022
  9. Alternative area yield index based crop insurance policies in Indonesia
    • Authors: Kusumaningrum, D., Anisa, R., Sutomo, V.A., Tan, K.S.
    • Year: 2021
    • Citations: 3