Jiangdong Xu | Modeling | Best Researcher Award

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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

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Memet Şahin | Modeling | Best Researcher Award

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

Neda Goodarzi | Model Updating | Best Scholar Award

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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. 📄📊📅