Jinghua Han | Interactions and fields | Best Researcher Award

Dr. Jinghua Han | Interactions and fields | Best Researcher Award

Sichuan University | China

Jinghua Han is an associate professor and doctoral supervisor at Sichuan University, specializing in laser effects, artificial intelligence (AI), and their cross-applications in various fields. With an academic background that includes a one-year study visit at the School of Mechanical Engineering and Aerospace Engineering at Rutgers University in the United States, Han has established herself as a key figure in laser technology and its integration with AI for practical applications in manufacturing, environmental and agricultural fields.

👨‍🎓Profile

Scopus

📚 Early Academic Pursuits

Dr. Han began her academic journey with a strong foundation in engineering and applied physics, which eventually led her to complete advanced studies at Sichuan University. Her decision to pursue a year-long academic visit to the United States in 2013-2014 further broadened her understanding of mechanical engineering and aerospace technologies. This international exposure fueled her passion for interdisciplinary research, allowing her to apply cutting-edge concepts in laser systems and artificial intelligence to real-world challenges.

💼 Professional Endeavors

Dr. Han has successfully hosted and participated in several high-profile research projects, including three funded by the National Natural Science Foundation of China and another key initiative backed by Huawei Technologies Co., Ltd.. Her collaborations span across major institutions like the China Academy of Engineering Physics, Chengdu Aerospace Science and Technology Corporation, and the Western Institute of Physics, reflecting her role in both national and international research communities.

🔬 Contributions and Research Focus

Han’s research spans a wide range of applications with a particular focus on laser effects and their applications across various sectors, including artificial intelligence, manufacturing, and environmental/agricultural engineering. She has authored over 50 SCI papers in prestigious journals such as Optics Express, and holds 10 invention patents. Her contributions are not limited to research; she has actively contributed to the field through the publication of her monograph, “Laser Effects and Engineering Applications”, published by Tsinghua University Press.

🌍 Impact and Influence

Dr. Han’s research has had a far-reaching impact, not only in academia but also in industry and public policy. Her collaborations with leading technological corporations like Huawei and Chengdu Aerospace Science and Technology Corporation showcase her ability to translate scientific discovery into real-world solutions. Moreover, her involvement in the Science and Technology Mayor’s League in Wuxi High-Tech Zone demonstrates her commitment to fostering collaboration between academia, government, and industry.

🏅 Academic Cites

With over 50 SCI papers published in high-impact journals, Dr. Han’s research has garnered widespread attention and citations. This body of work covers diverse aspects of laser technology, AI, and engineering applications, and has been referenced by researchers and professionals worldwide, solidifying her reputation as a leader in these fields.

🛠️ Research Skills

Dr. Han’s expertise encompasses laser technology, artificial intelligence, sensor integration, and the development of intelligent laser systems. She has demonstrated a high level of proficiency in multi-disciplinary research, combining principles from physics, engineering, and AI to innovate and create solutions that can benefit sectors like agriculture, manufacturing, and environmental science.

👩‍🏫 Teaching Experience

As a doctoral supervisor and educator, Dr. Han has mentored over 20 master’s and doctoral students, many of whom have gone on to become key professionals in renowned institutions like the Changguang Institute and Xiwu Institute. Her dedication to education is evident not only in her students’ successes but also in her receipt of the Second Prize of the Teaching Achievement Award from the Education Department of Sichuan Province. She was ranked third, a testament to her outstanding commitment to shaping the next generation of researchers and engineers.

🏆 Awards and Honors

Dr. Han has been recognized for her groundbreaking research and contributions to the scientific community. Some of her most prestigious awards include:

  • Vebleo Fellow (2022), awarded by the international scientific organization.
  • Asia Pacific Association for Artificial Intelligence (AAIA) Fellow (2022).
  • Second Prize of the Teaching Achievement Award from the Education Department of Sichuan Province, ranking third.

Her professional accolades reflect her excellence in both research and teaching, establishing her as a trailblazer in her field.

🔮 Legacy and Future Contributions

Dr. Han’s future contributions are poised to shape the intersection of AI, laser technology, and manufacturing. As a forward-thinking academic and researcher, she is focused on advancing intelligent laser systems and their applications to solve global challenges in agriculture and environmental sustainability. Her ongoing collaborations and mentorship ensure that her legacy will inspire future generations of scientists and engineers, reinforcing the importance of interdisciplinary research in addressing today’s most pressing issues.

Publications Top Notes

Application of optical micro-fibres decorated with a co-doped Er3+/Yb3+ silica film with fast desorption response for environmental cleanliness measurement of a laser facility

  • Authors: G. Zhou, H. You, W. Zhu, Y. Jiang, X. Jiang
    Journal: Measurement
    Year: 2025

Removal of micro-nano particles based on water-assisted enhanced plasma shock wave

  • Authors: Q. Song, J. Xiao, S. Li, M. Yang, G. Feng
    Journal: Applied Surface Science
    Year: 2024

Cubic nonlinear scanning for improved TDLAS-based methane concentration detection

  • Authors: R. You, H. Kang, X. Zhang, J. Han, G. Feng
    Journal: International Journal of Hydrogen Energy
    Year: 2024

High-performance Ag-TiO2 nanoparticle composite catalyst synthesized by pulsed laser ablation in liquid: properties, mechanism and preparation studies

  • Authors: L. O. N. G., D. Yu, J. Han, J. Zhu, K. Yang
    Journal: Optics Express
    Year: 2024

Fenton reaction in the process of “Laser + Fe” mode excited plasma for Rhodamine B degradation

  • Authors: J. Zhu, D. Yu, N. Xie, G. Feng, X. Long
    Journal: Optics Express
    Year: 2024

 

Adib Mahmoodi Nasrabadi | Renewable energy | Member

Mr. Adib Mahmoodi Nasrabadi | Renewable energy | Member

Teaching assistant at Iran University of Science and Technology, Iran

Adib Mahmoodi Nasrabadi is a Mechanical Engineering graduate pursuing his Master’s at Iran University of Science and Technology. With a keen interest in thermodynamics, renewable energy, and optimization, he has excelled in projects related to microfluidic microbial fuel cells and renewable energy systems. Adib is skilled in various software tools including ANSYS-Fluent, CATIA, and MATLAB, and has practical experience in UPVC profiles manufacturing and composite products. His published papers reflect his expertise in energy analysis, deep learning optimization, and techno-economic analysis. Adib’s academic achievements include top rankings in national competitions and university exams, showcasing his dedication to excellence in engineering.

Professional Profiles:

Education:

Iran University of Science and Technology, Tehran Master of Science in Mechanical Engineering, 2019–Now GPA: 3.87/4 University of Kurdistan, Sanandaj Bachelor of Science in Mechanical Engineering, 2009–2013 GPA: 3/4 Bagherfani Qasre Shirin Diploma in Mathematics and Physics, 2005–2009 GPA: 4/4

Experiences:

Internships in UPVC profiles manufacturing and Composite products High school teacher during military service Mathematics, physics private teacher, and robotic instructor Teaching assistant at Iran University of Science and Technology

Interests:

Thermodynamics,Renewable Energy,Optimization,Neural Networks,Micro and Nano fluids,Heat Transfer,Computational Fluid Dynamics (CFD),Turbulence

Skills

Software: ANSYS-Fluent, ABAQUS, CATIA (Certified), AutoCAD, Solidworks, Thermoflow, MATLAB, Fortran, LATEX, Python, HYSYS, Origin Pro Geometrical Dimensions and Tolerances (GD&T) Measurement System Analysis Car Manufacturing International Standards General Computer Skills Manufacturing Process

Honors and Awards:

Ranked 2nd in Physic Lab-Science competition, Top 4 nationwide university entrance exam in Mathematics and Physics, Top 0.5 nationwide Master university exam in Mechanical Engineering

Research Focus:

Adib Mahmoodi Nasrabadi’s research primarily focuses on renewable energy systems, optimization techniques, and advanced energy technologies. His work encompasses the design, modeling, and optimization of renewable-based power generation systems, including solar-wind-driven multigeneration systems and biosensor-based microfluidic microbial fuel cells. Additionally, he delves into deep learning optimization for combined heat, power, and greenhouse systems for CO2 capturing. Adib’s expertise extends to techno-economic analysis and experimental investigations related to factors affecting the performance of micro microbial fuel cells. His contributions highlight his commitment to advancing sustainable energy solutions and optimizing energy processes for practical applications.

Publications 

  1. 4E analysis of stacked microbial fuel cell as a component in power plants for power generation and water treatment; with a cost-benefit perspective, cited by:  4, Publication date: 2023.
  2. Design, modeling and optimization of a renewable-based system for power generation and hydrogen production, cited by:  48, Publication date: 2022.
  3. Energy analysis and optimization of a biosensor-based microfluidic microbial fuel cell using both genetic algorithm and neural network PSO, cited by: 24, Publication date: 2022.
  4. Techno-economic analysis and optimization of a proposed solar-wind-driven multigeneration system; case study of Iran, cited by: 21, Publication date: 2023.
  5. Deep learning optimization of a combined CCHP and greenhouse for CO2 capturing; case study of Tehran, cited by: 17, Publication date: 2022.
  6. Experimental investigation of factors affecting the micro microbial fuel cells’ main outputs, Publication date: 2023.

 

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