Dr. Bita Farhadi | Atomic Structure | Best Researcher Award

Dr. Bita Farhadi | Atomic Structure | Best Researcher Award

Zhejiang Yuexiu University | China

Dr. Bita Farhadi is a dedicated researcher and academic with a strong background in theoretical modeling of electronic devices and materials, combined with expertise in machine learning. With over a decade of experience in both research and teaching, she has contributed significantly to the fields of energy materials and device simulations. She has held academic positions across Iran and China and currently serves as a senior lecturer at Zhejiang Yuexiu University. Her research has led to several high-impact publications, international collaborations, and awards, making her a recognized figure in her field.

Professional Profile

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Educational Background

Dr. Farhadi earned her Doctor of Philosophy (Ph.D.) in Electronic Science and Technology from Dalian University of Technology, China, between September 2019 and August 2022. Her doctoral thesis focused on the theoretical study of lead-free perovskite solar cells using CH₃NH₃SnIₓBr₃₋ₓ as the active layer. Through DFT, MD, and device simulations, she explored the optical, thermal, and mechanical properties of these materials, demonstrating efficiencies of up to 26.51% and highlighting their potential as environmentally friendly alternatives to lead-based solar cells. She published 8 ISI-indexed papers, including several in Q1 journals, and built international collaborations with researchers in Australia, Singapore, and Malaysia. Her work earned her the Chinese Outstanding Student Award.

She completed her Master of Science (M.Sc.) in Electrical-Electronic Engineering at Azad Islamic University, Tehran, from December 2011 to November 2013, with a thesis focused on optimizing VDMOS transistors for high-frequency and power applications. She earned her Bachelor of Science (B.Sc.) in Electrical-Electronic Engineering from Azad Islamic University, Tafresh, between 2008 and 2011, where she investigated structural and physical optimization of solar cells.

Research Interests

Dr. Bita Farhadi is deeply engaged in the fields of theoretical modeling of electronic devices and materials, along with advanced applications of machine learning in scientific research. With over 12 years of experience, she has honed expertise in simulation tools such as Silvaco, COMSOL, SCAPS, Density Functional Theory (DFT), Molecular Dynamics (MD), and various machine learning frameworks. Her work bridges theory and practical applications, particularly in the design and optimization of solar cells and nanoelectronic devices. Her research reflects a strong commitment to developing high-performance, sustainable technologies through computational modeling and data science.

Academic Experience

Dr. Farhadi currently serves as a Senior Lecturer in the Big Data and Computing Department at Zhejiang Yuexiu University, China, beginning in September 2024. Her responsibilities include teaching undergraduate courses from the New Zealand Eastern Institute of Technology curriculum, such as Information Systems, Data Communications and Networking, and Computer Architecture. In addition to teaching, she mentors students in research projects and academic writing, applies for external funding, and continues to contribute scholarly publications.

From October 2022 to September 2024, she was a Postdoctoral Research Fellow at the Dalian Institute of Chemical Physics, Chinese Academy of Sciences (CAS). Her role involved conducting advanced simulations using DFT, MD, and machine learning, co-authoring several academic papers, and training junior researchers in computational methodologies. Earlier in her career, Dr. Farhadi was a Lecturer at both Elmi-Karbordi University of Kermanshah (2014–2018) and Azad Islamic University of Mehran (2013–2014), where she taught courses including C++, microcontrollers, electronics, and mathematics. She also served as a Robotics Teacher at the Institute of Science and Technology and Kamal Almolk and as an Electronics Teacher at the Institute of Fanavar, delivering hands-on instruction in robotic design and electronic systems.

Professional Experience

Alongside her academic work, Dr. Farhadi has been active in various engineering and industrial roles. From 2019 to 2022, she worked with Maham Sanat Company, designing technical project layouts using AutoCAD and collaborating with engineering teams on project execution. She also worked remotely with Afaq Kavosh Energy Company (2013–2022), managing control system design and mechanical component layouts. At Dorjam Glass Company (2009–2011), she contributed to the installation and maintenance of electrical devices, ensuring the reliability of industrial equipment.

Honors and Awards

Dr. Farhadi’s academic and professional excellence has been recognized through numerous awards. She received the Chinese Government Scholarship (2018) and the Chinese Outstanding Student Award (2020) during her doctoral studies. She was also granted a Postdoctoral Research Award in 2022, funded under the Talent Visa Program, with a total value of 66,864 USD. Earlier, she received a full undergraduate scholarship from Azad Islamic University as one of the top 1% of students, and in 2014, she was named the Best Robotics Teacher in national robotics competitions in Iran.

Professional Memberships

Dr. Farhadi is an active member of several professional and scientific organizations. She is part of the Researchers and Elite Group at Azad Islamic University of Kermanshah, a registered member of the Kermanshah Engineering Organization, and affiliated with the Tehran Association of Electrical and Electronics Engineers. Her memberships reflect her ongoing engagement with the academic and engineering communities.

Conclusion

Dr. Bita Farhadi’s career reflects a deep commitment to academic and scientific advancement. Her multidisciplinary expertise, spanning electronics, material science, and computational modeling, positions her as a valuable contributor to both academia and industry. Through her teaching, research, and collaborations, she continues to drive innovation in sustainable energy and advanced device simulations. Her achievements and recognitions highlight her dedication to excellence and her role in shaping future technologies. With her ongoing research and active involvement in academia, she aims to further expand the frontiers of knowledge in her field and contribute to meaningful scientific progress.

Notable Publications

Influence of contact electrode and light power on the efficiency of tandem perovskite solar cell: Numerical simulation
Author: Bita Farhadi, Matteo Ciprian, Fatemeh Zabihi, Aimin Liu
Journal: Solar Energy
Year: 2021

Multi‐Group Polymer Coating on Zn Anode for High Overall Conversion Efficiency Photorechargeable Zinc‐Ion Batteries
Author: Ming Chen, Xiaojun Guo, Xiao Jiang, Bita Farhadi, Xin Guo, Yan Zhu, Haoxiang Zhang, Shengzhong Liu
Journal: Angewandte Chemie
Year: 2024

Highly efficient photovoltaic energy storage hybrid system based on ultrathin carbon electrodes designed for a portable and flexible power source
Author: Bita Farhadi, Ifra Marriam, Shengyuan Yang, Hui Zhang, Mike Tebyetekerwa, Meifang Zhu, Seeram Ramakrishna, Rajan Jose, Fatemeh Zabihi
Journal: Journal of Power Sources
Year: 2019

Surfactant engineering for perovskite solar cells and submodules
Author: Le Wang, Dexu Zheng, Zhipeng Li, Bita Farhadi, Lei Peng, Shuai Zhao, Zhen Chang, Lianjie Duan, Yuexian Cao, Hui Wang, Yao Tong, Minyong Du, Kai Wang, Shengzhong Frank Liu
Journal: Matter
Year: 2023

A novel efficient double junction InGaP/GaAs solar cell using a thin carbon nano tube layer
Author: Bita Farhadi, Mosayeb Naseri
Journal: Optik
Year: 2016

Mr. Lam H.Nguyen, Quantum Chemistry, Best Researcher Award

Mr. Lam H.Nguyen, Quantum Chemistry, Best Researcher Award

Mr. Lam H.Nguyen, Ho Chi Minh City University of Science, Vietnam

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Summary

Lam Hoang-Nguyen is a dedicated PhD student at Ho Chi Minh City University of Science, specializing in Theoretical and Physical Chemistry. His research focuses on the structural relationships between molecules used in organic semiconductors, utilizing machine learning techniques. Lam has co-authored significant work on the Lantern Organic Framework (LOF) and is currently investigating a new type of chemical bond known as the "partial sigma bond." His contributions aim to advance both fundamental and applied sciences, particularly in the development of organic semiconductor materials.

Education 🎓

  • PhD in Theoretical and Physical Chemistry (Ongoing)
    Ho Chi Minh City University of Science
  • BSc in Chemistry
    Ho Chi Minh City University of Science

Professional Experience 💼

  • Researcher
    Institute for Computational Science and Technology
  • PhD Candidate
    Ho Chi Minh City University of Science

Research Interests 🧪

  • Quantum Chemistry
    Exploring partial sigma bonds in hydrogenated and fluorinated biradicals
  • Organic Semiconductors
    Structural relationship models between structure and properties for molecules
  • Host-Guest Chemistry
    Computational design of Lantern Organic Framework (LOF)

Notable Publication📝

Paper Title: Quantitative Structure–Property Relationships for the Electronic Properties of Polycyclic Aromatic Hydrocarbons
  •              Author: Lam H Nguyen, Thanh N Truong
  •              Journal: ACS omega
  •              Citation:20
  •              Year:2018
Paper Title: Machine Learning-Based Quantitative Structure–Property Relationships for the Electronic Properties of Cyano Polycyclic Aromatic Hydrocarbons
  •              Author: Tuan H Nguyen, Khang M Le, Lam H Nguyen, Thanh N Truong
  •              Journal: ACS omega
  •              Year: 2022
Paper Title: Atom-Based Machine Learning Model for Quantitative Property–Structure Relationship of Electronic Properties of Fusenes and Substituted Fusenes 
  •              Author: Tuan H Nguyen, Khang M Le, Lam H Nguyen, Thanh N Truong
  •              Journal: ACS omega
  •              Citation: 1
  •              Year: 2023
Paper Title: Nature of partial sigma bond
  •               Author: Lam H Nguyen, Thanh N Truong
  •               Journal: Journal of Computational Chemistry
  •               Year: 2024
Paper Title: Computational Design of a Lantern Organic Framework
  •               Author: Lam H Nguyen, Thanh N Truong
  •                Journal: ACS omega
  •                Year: 2023