Xiaofei Dong | Experimental methods | Best Researcher Award

Dr. Xiaofei Dong | Experimental methods | Best Researcher Award

Dr. Xiaofei Dong | Northwest Normal University | China

Xiaofei Dong is a dedicated researcher in the field of photovoltaic materials and neuromorphic electronics. He completed his Bachelor’s, Master’s, and Doctoral degrees at the College of Physics and Electronic Engineering, Northwest Normal University, showcasing unwavering academic consistency and depth. In June 2024, he was appointed as an Associate Professor at the same institution, reflecting his rapid academic growth and research productivity. His research primarily focuses on copper-based thin-film solar cells and memristor devices, contributing to the development of high-performance, sustainable energy and intelligent electronic systems. Dong has led multiple university-level funded projects and published influential papers in prestigious journals such as The Journal of Physical Chemistry Letters, Solar Energy Materials and Solar Cells, and Materials Letters. His ability to integrate fundamental materials science with practical device engineering has gained recognition within the academic community. Dong continues to strive for breakthroughs in energy efficiency and bio-inspired electronic systems.

Author Profile

Scopus

Education

Xiaofei Dong pursued all his higher education at Northwest Normal University, College of Physics and Electronic Engineering. He obtained his Bachelor’s degree from 2014 to 2018, followed by a Master’s degree between 2018 and 2021. His postgraduate research focused on thin-film solar cell development and was supervised by senior faculty, including Prof. Yan Li and Dr. Yun Zhao. Dong completed his Doctoral program, delving deeper into advanced optoelectronic materials and memristive devices. His consistent academic journey in a singular research environment has enabled him to build deep expertise and conduct long-term, coherent investigations in copper-based semiconductor systems, gaining both theoretical and experimental mastery over key challenges in solar cell efficiency and neuromorphic component design.

Professional Experience

Xiaofei Dong has served as an Associate Professor at the College of Physics and Electronic Engineering, Northwest Normal University. His career has been deeply rooted in the same institution, where he also completed his academic training. Prior to this role, Dong was extensively involved in research projects and academic publications throughout his Master’s and Ph.D. studies. As a graduate student, he led several funded research programs, focusing on novel optoelectronic materials, solar cells, and memristor-based artificial synapses. His current responsibilities include research leadership, teaching duties, and mentoring students in the areas of energy materials and electronic devices. Dong’s seamless transition from student researcher to faculty member reflects his scientific maturity, institutional trust, and commitment to research excellence.

Awards and Honors

Xiaofei Dong has received multiple academic honors and internal funding awards that reflect the quality and promise of his research. He was the recipient of the 2019 Graduate Research Grant Program, where he investigated Li-doped Cu₂ZnSn(S,Se)₄ solar cells. He later secured the 2021 Graduate Research Grant Program and the Outstanding Doctoral Dissertation Cultivation Grant Program, where he explored photosensitive films and memristor simulation respectively. These competitive programs not only provided research funding but also recognized Dong’s innovative work in energy conversion and neuromorphic electronics. His publications in high-impact journals have also contributed to his academic visibility, and he is considered a rising scholar within his department. These recognitions mark his research as both relevant and forward-looking in today’s energy and smart electronics sectors.

Research Focus

Xiaofei Dong’s research revolves around copper-based semiconductors, particularly Cu₂ZnSn(S,Se)₄ (CZTSSe) thin films used in solar cell applications. His work emphasizes improving the efficiency and stability of these devices through innovative treatments such as Li and Na doping and interface engineering. Additionally, he explores memristive behaviors in kesterite materials, aiming to simulate artificial synaptic functions for neuromorphic computing. Dong’s approach integrates both material synthesis and device fabrication, bridging the gap between fundamental material science and practical optoelectronic applications. He also investigates optoelectronic memristors embedded in polymers, contributing to the development of light-controlled memory and learning devices. His goal is to design energy-efficient, environmentally friendly components for next-generation electronics, making a tangible impact in sustainable technology and intelligent systems.

Notable Publication

Coexistence of Bipolar Resistive Switching and the Negative Differential Resistance Effect from a Kesterite Memristor

  • Authors: Xiao-Fei Dong, Yun Zhao, Ting-Ting Zheng, Xue Li, Cheng-Wei Wang, Wei-Min Li, Yan Shao, Yan Li
    Journal: The Journal of Physical Chemistry C
    Year: 2021

An effective Li-containing interfacial-treating strategy for performance enhancement of air-processed CZTSSe solar cells

  • Authors: Xiao-Fei Dong, Ting-Ting Zheng, Feng-Xia Yang, Xu-Dong Sun, Lei Yu, Jiang-Tao Chen, Cheng-Wei Wang, Yun Zhao, Yan Li
    Journal: Solar Energy Materials and Solar Cells
    Year: 2021

Influence of Mo-pretreating on microstructure evolution of solution-processed absorbers for high efficient CZTSSe solar cells

  • Authors: Xiaofei Dong, Siyuan Li, Hao Sun, Qian He, Yun Zhao, Yan Li
    Journal: Materials Letters
    Year: 2022

Optoelectronic Memristive Synapse Behavior for the Architecture of Cu₂ZnSnS₄@BiOBr Embedded in Poly(methyl methacrylate)

  • Authors: Xiaofei Dong, Siyuan Li, Hao Sun, Lijuan Jian, Wenbin Wei, Jianbiao Chen, Yun Zhao, Jiangtao Chen, Xuqiang Zhang, Yan Li
    Journal: The Journal of Physical Chemistry Letters
    Year: 2023

A new strategy for improving the efficiency of thin-film solar cells by regulating the gradient grain structure of CZTSSe absorbers: Na treatment induces uniform selenization

  • Authors: Xiaofei Dong, Fengxia Yang, Siyuan Li, Hao Sun, Jiangtao Chen, Xuqiang Zhang, Yun Zhao, Yan Li
    Journal: Ceramics International
    Year: 2023

Conclusion

Xiaofei Dong has established himself as a promising young researcher in energy materials and neuromorphic electronics. His consistent academic path, project leadership, and impactful publications illustrate a strong foundation in both scientific rigor and practical innovation. As an early-career Associate Professor, Dong is well-positioned to contribute further to clean energy solutions and bio-inspired electronic devices. His work aligns with global research trends and societal needs, making him a fitting candidate for research recognition and academic advancement.

Konstantinos Blazakis | Data Analysis Techniques | Best Researcher Award

Dr. Konstantinos Blazakis | Data Analysis Techniques | Best Researcher Award

Postdoctoral researcher, School of Electrical and Computer engineering, Technical university of Crete, Greece

Mr. Konstantinos Blazakis is a dedicated researcher and educator specializing in Electrical and Computer Engineering. Currently pursuing his PhD at the Technical University of Crete, he has cultivated a strong foundation in data mining and machine learning, particularly in their applications to smart electricity grids and power theft detection. Born on November 10, 1984, in Rethimno, Greece, he has a keen interest in advancing renewable energy technologies. His work reflects a commitment to improving energy systems and fostering innovation in the field of electrical engineering.

Profile🎓

Early Academic Pursuits🌱

Mr. Konstantinos Blazakis began his academic journey at the National Technical University of Athens, specializing in Applied Mathematics and Physics with a focus on optoelectronics and solid-state physics. His strong foundational knowledge laid the groundwork for his later studies. He continued his education at the Technical University of Crete, where he earned a Master of Science with a remarkable degree of 9.5/10. Currently, he is pursuing his PhD in Electrical and Computer Engineering, focusing on innovative applications of artificial intelligence in energy systems.

Professional Endeavors 💼

In his professional career, Mr. Blazakis has actively participated in various projects aimed at enhancing energy systems. He is currently involved in a project at the Hellenic Mediterranean University of Crete, which focuses on improving the resilience of the Cretan power system through distributed energy resources. His roles also include teaching computer science and physics at multiple educational institutions, where he strives to inspire the next generation of engineers.

Contributions and Research Focus 🔍

Mr. Blazakis’s research contributions are primarily in the fields of data mining, machine learning, and smart electricity grids. His doctoral thesis centers on the development of advanced AI methods for detecting power theft in smart electrical distribution networks with significant renewable energy penetration. He has published several impactful papers on forecasting techniques and energy theft detection, showcasing his commitment to addressing pressing challenges in the energy sector.

Impact and Influence 🌍

His work has significantly impacted the understanding of power theft detection and energy forecasting methods. By utilizing advanced techniques such as quantum machine learning, Mr. Blazakis is at the forefront of integrating innovative solutions into energy systems. His research not only contributes to academic knowledge but also holds practical implications for enhancing the efficiency and security of electrical grids.

Academic Cites 📚

Mr. Blazakis has published numerous articles in prestigious journals, including Energies and the International Journal of Artificial Intelligence Applications. His work has been recognized at international conferences, demonstrating his influence in the academic community. He is also involved in the editorial process, serving as a guest editor for special issues in prominent scientific journals.

Technical Skills 🛠️

He possesses a diverse skill set, including proficiency in programming languages such as Python, Matlab, C++, and SQL. His technical expertise extends to software tools like PVSYST, RETScreen, and various data mining applications. This comprehensive skill set enables him to tackle complex engineering challenges effectively.

Teaching Experience 📖

Mr. Blazakis has extensive teaching experience at various educational institutions, where he imparts knowledge in computer science and physics. His teaching philosophy emphasizes hands-on learning and real-world applications, fostering critical thinking and problem-solving skills in students.

Legacy and Future Contributions 🌱

As he continues his research and teaching endeavors, Mr. Blazakis aims to leave a lasting legacy in the fields of electrical engineering and renewable energy. His commitment to innovation and sustainability positions him to make significant future contributions, particularly in developing smarter and more efficient energy systems. With a focus on integrating advanced technologies, he is poised to play a vital role in shaping the future of energy management and sustainability.

Publication Top Notes📖

Towards Automated Model Selection for Wind Speed and Solar Irradiance Forecasting
  • Authors: Konstantinos Blazakis, Nikolaos Schetakis, Paolo Bonfini, Konstantinos Stavrakakis, Emmanuel Karapidakis, Yiannis Katsigiannis
    Publication Year: 2024
One-Day-Ahead Solar Irradiation and Windspeed Forecasting with Advanced Deep Learning Techniques
  • Authors: Konstantinos Blazakis, Yiannis Katsigiannis, Georgios Stavrakakis
    Publication Year: 2022
Effective Electricity Theft Detection in Power Distribution Grids Using an Adaptive Neuro Fuzzy Inference System
  • Authors: Konstantinos Blazakis, Theodoros N. Kapetanakis, George S. Stavrakakis
    Publication Year: 2020
Modeling Vehicles to Grid as a Source of Distributed Frequency Regulation in Isolated Grids with Significant RES Penetration
  • Authors: Neofytos Neofytou, Konstantinos Blazakis, Yiannis Katsigiannis, Georgios Stavrakakis
    Publication Year: 2019