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