Syarifah Inayati | Modeling | Research Excellence Award

Published on by Composite Awards

Syarifah Inayati | Modeling | Research Excellence Award

Dr. Syarifah Inayati at Universitas Negeri Yogyakarta | Indonesia

Syarifah Inayati is an academic researcher at Universitas Negeri Yogyakarta with expertise in statistics, mathematical finance, and optimization, and a scholarly record that demonstrates strong engagement with advanced quantitative modeling and applied statistical analysis. Her research primarily focuses on time series modeling, particularly Markov Switching Autoregressive (MSAR) and Bayesian time-varying parameter models, which she applies to dynamic economic forecasting and financial market analysis. Several of her studies address financial risk and investment analysis, including stock market contagion between Indonesia and the United States, portfolio analysis using Gaussian mixture distributions with expectation–maximization algorithms, and risk measurement through Value at Risk methods under Bayesian mixture frameworks. Beyond financial applications, she has made notable contributions to socio-economic and public policy research, such as forecasting BPJS health insurance beneficiaries using fuzzy time series methods and modeling the Human Development Index of Central Java using three-parameter gamma regression. Her work in optimization includes nonlinear multiobjective optimization problems solved through Pareto front and weighting approaches, demonstrating methodological depth and versatility. In addition to theoretical and applied research, Syarifah Inayati is actively involved in community service and capacity building, contributing to workshops and training programs on nonparametric analysis, factor analysis, logistic regression, and statistical methods for social sciences and education. With 39 citations, an h-index of 4, and consistent citation growth since 2020, her research reflects a balanced integration of rigorous statistical methodology, interdisciplinary collaboration, and practical relevance. Overall, her scholarly contributions strengthen the application of modern statistical and econometric techniques in finance, economics, public policy, and applied mathematics, while also supporting knowledge dissemination through educational and community-oriented initiatives.

Citation Metrics (Google Scholar)

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Citations
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h-index
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                             🟦 Citations  🟥 h-index  🟩 i10-index

Featured Publications

Haozhuo Tong | Analysis of time series | Best Researcher Award

Published on by Composite Awards

Mrs.Zuyong Yan | Design of Materials | Best Researcher Award

Mrs.Haozhuo Tong , Xijing University, China.

Mrs. Haozhuo Tong is a distinguished academic affiliated with Xijing University in China. She is recognized for her expertise in [insert field or specialization], with a focus on [mention specific areas of research or teaching]. Mrs. Tong’s contributions to academia include [briefly mention notable achievements, publications, or research projects]. She is dedicated to advancing knowledge and fostering academic excellence at Xijing University, making significant impacts in her field both locally and internationally.

Publication Profile

Orcid

Education  :

Xijing University,Electronic Information Master’s Degree (August 2021 – January 2024),Research Direction: Deep learning, time series analysis, model optimization,Research Results,”Design of Distributed Student Management System Based on Spring Cloud Framework” (published,”Deep Learning-Based Distantly Supervised Relation Extraction” (published),”Segmented Frequency Domain Correlation Prediction Model for Long-Term Series Forecasting using,Transformer”

Work Experience:

Science and Technology Group Corporation Cloud Network Technology Co., Ltd.,Java Development InternMay 2022 – October 2022,School of Mobile Communications, Network and Information Management Center,Java Development Engineer,October 2018 – April 2020

Technical Skills:

Blockchain Development: Proficient in Solidity with experience in ERC20 token standards and development frameworks like Truffle and Hardhat.,Web Development: Skilled in Next.js, React, Vue.js, and Material UI for building responsive and efficient frontend interfaces.,Backend Development: Experienced in JavaSE, Spring, SpringBoot, MyBatis, MySQL, Redis, and RocketMQ for building robust server-side applications.,Development Tools: Proficient with Git, Docker, and CI/CD pipelines for version control and deployment automation.,Database Management: Expertise in SQL optimization, with hands-on experience in MySQL and Redis databases.

Awards and Honor:

  • Research: Published papers and ongoing research in deep learning and time series analysis
  • Competitions: Multiple awards in national and regional university computer competitions

Skills:

  • Technical Skills: Deep learning, time series analysis, model optimization, ERC721, Solidity, Hardhat, Remix, Next.js, Material UI
  • Tools: RainbowKit, wagmi, Spring Cloud Framework

Project Experience:

Rainbow Horse NFT Trading Platform (November 2023 – December 2023),Project Description: Implemented and innovated functions for an NFT platform:,Minting random NFTs,Synthesizing NFTs,Trading NFTs,Platform management,Technologies Used: ERC721 (OpenZepplin), Hardhat, Remix, Next.js, Material UI, RainbowKit, wagmi

Publications 📚📝

  • istributed Student Management System Design Based on Spring Cloud Framework
    • Description: This paper has been published.
  • Deep Learning-Based Distantly Supervised Relation Extraction
    • Description: This paper has been published.
  • Segmented Frequency Domain Correlation Prediction Model for Long-Term Series Forecasting using Transformer
    • Description: This paper is currently under review.