Neda Goodarzi | Model Updating | Best Scholar Award

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. 📄📊📅  

 

Aaron Glenn | Model Validation | Best Researcher Award

Aaron Glenn | Model Validation | Best Researcher Award

Mr. Aaron Glenn, Trinity College Dublin, Ireland.

Publication profile

Googlescholar
Orcid

Education and Experience

Education 📚

  • 🎓 Ph.D. Material Engineering – Trinity College Dublin (2020 – Present)
    Research: Optimization & fabrication of plasmonically enhanced luminescent solar concentrator devices.
  • 🏅 PgCert Statistics & Data Science – Trinity College Dublin (2023 – 2024)
    Modules: Python, Machine Learning, R, SQL.
  • 🏆 BSc (Hons) Physics with Energy & Environment – TU Dublin (2016 – 2020)
    Modules: Quantum Mechanics, Thermodynamics, Alternative Energy Systems.

Experience 🛠️

  • Ph.D. Candidate & Teaching Assistant – Trinity College Dublin (2020 – Present)
    • Supervised Master’s theses; guided students on clean energy concepts.
  • Research Intern – Solar Energy Applications Group, Trinity College Dublin (2019)
    • Improved silicon solar cell efficiency with luminescent down-shifting systems.
  • Lab Assistant – Abbott Ireland (2014)
    • Ensured lab functionality and product quality for diabetic strips.
  • Labourer – Donegal Oysters LTD (2016–2018)
    • Harvested oysters with a strong team ethic.

Suitability For The Award

Mr. Aaron Glenn, a Ph.D. Candidate in Materials Engineering at Trinity College Dublin, has demonstrated exceptional academic and research excellence in renewable energy technologies, particularly in the development of plasmonically enhanced luminescent solar concentrator (PLSC) devices. His multidisciplinary expertise in optimization, fabrication, and performance testing of advanced photovoltaic systems positions him as a strong candidate for the Best Researcher Award.

Professional Development 

Publications Top Notes

  • 📜 The viability of organic dyes in luminescent down-shifting layers for the enhancement of Si solar cell efficiency – Materials Science Forum 995, cited by 8, 2020.
  • 📜 Towards Reducing Computational Costs of Finite Difference Time Domain Algorithm in Plasmonic Optical Properties Modelling of Metal Nanoparticles – Materials Science Forum 995, cited by 3, 2020.
  • 📜 Immunotoxicity of organophosphate compounds – Clin Immun Immunopath 49, cited by 3, 1988.
  • 📜 Design, fabrication, and preliminary testing of plasmonic luminescent solar concentrator devices – Sustainable Buildings 6, cited by 2, 2023.
  • 📜 Fabrication and performance evaluation of large–scale luminescent and plasmonic luminescent solar concentrator modules – Solar Energy 282, cited by 1, 2024.
  • 📜 Implementation and optimization of a luminescent down-shifting photovoltaic system for use in a compound parabolic concentrator – Sustainable energy development and innovation, cited by 1, 2022.
  • 📜 Optimisation of Luminescent Solar Concentrators through an integrated optical & electrical Model – Renewable Energy, 2024.