Syarifah Inayati | Modeling | Research Excellence Award

Published on 22/12/202522/12/2025 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)

Citations
39

h-index
4

i10-index
0

🟦 Citations 🟥 h-index 🟩 i10-index

Google Scholar Scoupas Orcid

Featured Publications

Prediksi Jumlah Peserta BPJS Penerima Bantuan Iuran (PBI) APBN Menggunakan Metode Fuzzy Time Series Cheng

– Barekeng, 2021

A Markov Switching Autoregressive Model with Time-Varying Parameters

– Forecasting, 2024

3-Parameter Gamma Regression Model for Analyzing Human Development Index of Central Java Province

– Barekeng, 2022

Training and Development of Flipbook Learning Resources for Master Bimbel in Malang Regency

– Community Empowerment, 2024

Loss Distribution Approach for Company Operational Risk Analysis

– Journal of Physics: Conference Series, 2020

Jiangdong Xu | Modeling | Best Researcher Award

Published on 30/07/202508/08/2025 by Composite Awards

Jiangdong Xu | Modeling | Best Researcher Award

Mr. Jiangdong Xu at Shandong University of Technology | China

Jiangdong Xu is a dedicated researcher affiliated with Shandong University of Technology in Zibo, Shandong, China. As a first author, he has contributed significantly to advancements in agricultural machinery and simulation modeling, particularly in the design of vertical threshing drums under high-moisture conditions and in developing a discrete meta-model of crushable maize kernels. His work addresses critical issues in crop processing efficiency and precision. Jiangdong’s research demonstrates both theoretical depth and experimental innovation, earning him publication in high-impact SCI journals and recognition for pioneering discrete element modeling techniques in agricultural engineering.

Professional Profile

ORCID

Education

Mr. Jiangdong Xu holds a Bachelor’s degree in Agricultural Engineering . He is either pursuing or has completed postgraduate research at Shandong University of Technology, reflecting his active engagement in academic and applied research in the field.

Experience

Mr. Xu is currently a researcher at Shandong University of Technology in Zibo, China. He has contributed as both lead and co-author to several SCI-indexed publications, particularly within Zones II to IV. His expertise includes the use of EDEM simulation software for mechanical modeling and parameter testing. Additionally, he has been practically involved in machinery design and orthogonal experimental analysis, highlighting his applied engineering skills and analytical capabilities

Professional Development

Jiangdong Xu has continuously expanded his research capabilities by combining advanced modeling tools with experimental testing. His work on maize threshing mechanics and seed crush simulations reflects a growing expertise in discrete element modeling (DEM), particularly in agricultural applications. He actively engages in collaborative research and stays updated with cutting-edge simulation software like EDEM. Jiangdong also contributes to scholarly publishing as a first and third author in recognized SCI journals. His ability to translate complex mechanical behavior into accurate digital simulations marks his professional development in both academic and applied engineering domains.

Research Interests

Jiangdong Xu’s research focuses on Agricultural Engineering and Computational Modeling, particularly the use of Discrete Element Method (DEM) for simulating crop mechanics . His primary interests include threshing mechanism optimization, crushable seed kernel simulation, and mechanical property testing of agricultural materials. He specializes in reducing breakage in high-moisture maize threshing, improving machinery efficiency, and creating metamodels for accurate simulation of seed interactions. His work bridges experimental mechanics with computational simulation to enhance the precision and performance of agricultural equipment—contributing innovative solutions to global food engineering challenges.

Awards and Recognitions

Jiangdong Xu has received recognition for his pioneering work in the field of agricultural machinery and simulation modeling. His first-author paper on the design of a vertical threshing drum under high-moisture conditions was published in an SCI Zone IV journal, while his innovative meta-modeling work on maize kernel crushability, a first in international research, was published in a Zone II journal with an impact factor of 3.6. He is also a contributing third author to a Zone II Top journal submission with an impact factor of 5.3, reflecting the academic value and impact of his interdisciplinary research contributions.

Top Noted Publications

Title: Discrete Meta-Modeling Method of Breakable Corn Kernels with Multi-Particle Sub-Area Combinations
Year: 2025

Memet Şahin | Modeling | Best Researcher Award

Published on 11/07/202511/07/2025 by Composite Awards

Memet Şahin | Modeling | Best Researcher Award

Prof. Dr. Memet Şahin, Gaziantep University, Turkey.

Prof. Dr. Memet Şahin 🎓 is a distinguished academic in mathematics, specializing in algebra, mathematical logic, and fuzzy measures. He earned his Ph.D. in Mathematics from Karadeniz Technical University in 2004, with a focus on generalized 963-algebras and fuzzy measures. His academic career spans over three decades, primarily at Gaziantep University 📘, where he has served in various roles from Research Assistant to Professor. A dedicated educator and researcher, Prof. Şahin has significantly contributed to the field of functional analysis, algebraic structures, and logic. His passion for mathematics and education continues to inspire students and fellow scholars alike. 🔍📚

Publication Profiles

Google Scholar

Education & Experience

👨‍🏫 Teaching & Academic Roles:

Instructor & Guest Lecturer, University of Cyprus 📚
Secondary Education Teacher, Greece (Geology, Physics, Chemistry, Math) 👨‍🏫
Lab Supervisor & Seminar Leader for Corrosion & Materials Science 🧫

Suitability for the Award

Prof. Dr. Memet Şahin, a prominent scholar at Gaziantep University, is highly suitable for the Best Researcher Award due to his profound and sustained contributions to mathematics, especially in the fields of algebra, mathematical logic, and fuzzy systems. His research over more than 30 years has significantly advanced foundational mathematics and inspired academic inquiry in both theoretical and applied domains.

Professional Development

Prof. Dr. Memet Şahin has continually advanced his professional career through rigorous academic involvement and interdisciplinary study 📘. Beginning as a Research Assistant in the early 90s, he steadily progressed through academic ranks to attain full professorship by 2020 🎓. His background uniquely combines mathematics and law, demonstrating a broad intellectual horizon ⚖️🧠. Throughout his career at Gaziantep University, he has actively contributed to curriculum development, research mentoring, and publication in high-impact journals. His experience across multiple mathematical subfields and openness to interdisciplinary dialogue underline his dedication to lifelong learning and academic leadership 🌟📖.

Research Focus

Prof. Şahin’s research primarily focuses on algebraic structures, particularly generalized algebras (F-algebras, D-algebras, 963-algebras) and mathematical logic 🤖. He has delved deeply into functional analysis and fuzzy measure theory 🌫️, bridging abstract mathematical theory with real-world applications. His work often intersects set theory, logic, and algebraic frameworks, contributing valuable insights into the foundations of mathematics 📐. Additionally, his studies explore mathematical modeling in complex systems where logical structures and uncertainty are key. His contributions enhance the mathematical understanding of fuzzy logic systems and algebraic generalizations. 🔍📊

Awards & Honors

🏅 Promotion to Full Professorship – Gaziantep University (2020)
🥇 Recognized for Outstanding Service in Mathematical Education – Gaziantep University
🎖️ Honored for Contributions to Algebraic Logic and Functional Analysis Research
📜 Multiple student-supervised theses accepted with distinction
📚 Acknowledged for Interdisciplinary Achievement in Justice and Mathematics

Publication Top Noted

Similarity measures of bipolar neutrosophic sets and their application to multiple criteria decision making – 220 citations, 2018 ⚖️
Neutrosophic soft expert sets – 137 citations, 2015 👥
Neutrosophic Sets: An Overview – 125 citations, 2018 📚
Neutrosophic triplet G-module – 99 citations, 2018 📐
Generalized Neutrosophic Soft Expert Set For Multiple-Criteria Decision Making – 89 citations, 2019 🧮
A new approach for multi-attribute decision-making problems in bipolar neutrosophic sets – 89 citations, 2018 🧭
Neutrosophic triplet normed space – 84 citations, 2017 🧱
A new similarity measure based on falsity value between single valued neutrosophic sets… – 81 citations, 2017 🔍

Neda Goodarzi | Model Updating | Best Scholar Award

Published on 10/02/202510/02/2025 by Composite Awards

Neda Goodarzi | Model Updating | Best Scholar Award

Ms. Neda Goodarzi , Best Scholar Award , Iran.

Short Biography

Ms.Neda Goodarzi is a dedicated civil engineer specializing in structural health monitoring and model updating. She holds a Ph.D. from Universiti Putra Malaysia and an MSc from Khaje Nasir University . With experience as a software instructor, supervisor, and tour leader, she excels in engineering, education, and multilingual communication. Proficient in ETABS, MATLAB, and ABAQUS, she has participated in national engineering competitions and published Q1 research papers . Known for her patience, intelligence, and determination, she is a passionate academic and professional.

Publication Profile

Google Scholar

Education & Experience

Education:

Ph.D. in Structural Civil Engineering – Model Updating (UPM, Malaysia, 2020–2024)
MSc in Structural Civil Engineering – Health Monitoring (Khaje Nasir, Iran, 2016–2018)
BSc in Civil Engineering (Khaje Nasir, Iran, 2011–2015)
Diploma in Mathematics (Imamat, Iran, 2008–2011)

Experience:

English Teacher (English Institute, 2011–2013)
Software Instructor (ETABS) (University, 2013–2015)
Project Supervisor (2015–2017)
English & Persian Tour Leader (2023–2024/2025)
English Teacher at Korean Kids Academy (2024–2025)

Summary Suitability

Dr. Neda Goodarzi, a distinguished recipient of theBest Researcher Award, has demonstrated exceptional academic and professional excellence, making her a leading candidate for the Best Scholar Award. With a strong educational foundation, she has pursued advanced research in health monitoring and model updating, contributing significantly to the industry through her innovative work at University of Putra Malaysia (UPM). studies. Her research expertise includes structural health monitoring, civil engineering model updating, and applied engineering software solutions (ETABS). She has effectively translated her academic knowledge into practical applications, supervising project implementations and teaching advanced engineering software.

Professional Development

Ms.Neda Goodarzi is a skilled civil engineer with expertise in structural health monitoring and model updating . She is proficient in ETABS, OpenSEES, SAP, ARTeMIS, AutoCAD, Tekla Structures, MATLAB, ABAQUS, and Ansys . A certified member of the Engineering Council, she has participated in steel and concrete structural workshops . She has attended national engineering competitions and has experience translating ISI research papers . Fluent in English, Malay, Spanish, and Arabic, she combines technical knowledge with strong communication skills . Passionate about innovation, she continues to expand her expertise.

Research Focus

Ms.Neda Goodarzi research interests lie in structural health monitoring, model updating, and innovative civil engineering techniques . She focuses on enhancing the safety, durability, and resilience of structures by developing advanced computational models . Her work involves finite element analysis, data-driven decision-making, and real-time structural assessment . She actively explores smart materials and sensor-based diagnostics to improve structural performance. Her interdisciplinary approach integrates artificial intelligence with civil engineering . Passionate about sustainable and earthquake-resistant structures , she aims to bridge the gap between theory and real-world applications.

Awards & Honors

Top Bachelor’s Student in Civil Engineering
Direct Admission to MSc (Exceptional Talent)
19.5/20 in Master’s Thesis
Q1 Research Publications
National Engineering Competition Winner (Truss Bridge & Steel Bridge)
Participation in SCC Concrete National Competition (2019)
ISI Research Paper Translator

Publication Top Notes

“A Review of Health Monitoring and Model Updating of Vibration Dissipation Systems in Structures” by N. Godarzi and F. Hejazi was published in 2020 in Civil Engineering Journal, Vol. 6, No. 3, pp. 418-430.
As of now, it has been cited 10 times.