Song He | High energy physics | Best Researcher Award

Mr. Song He | High energy physics | Best Researcher Award

Ph.D. student at Huazhong University of Science and Technology | China

Song He is currently a Ph.D. student at Huazhong University of Science and Technology (HUST), specializing in novel radiation detectors and imaging techniques. He has contributed extensively to high-impact journals in the fields of material science and electronics, with innovative research in scintillator development. His work has led to groundbreaking discoveries in enhancing X-ray imaging and fast neutron imaging resolution.

👨‍🎓Profile

Scopus 

ORCID

Early Academic Pursuits 🎓

Song He’s academic journey began with a Bachelor of Engineering in Materials Science and Engineering from China University of Mining and Technology (2015-2019). He continued with a Master of Engineering in Materials and Physics from the same university (2019-2022). Currently, he is pursuing a Ph.D. in Electronic Science and Technology at HUST since 2022. His early education laid a strong foundation for his innovative approach to radiation detection and imaging technology.

Professional Endeavors 💼

Throughout his career, Song He has primarily focused on developing novel radiation detectors and imaging technologies. His work emphasizes improving the performance of scintillators for better X-ray and neutron imaging. He has filed several patents related to his inventions, demonstrating his commitment to transformative research in radiation detection. Despite limited professional collaborations at this stage, his independent contributions have been highly impactful in the scientific community.

Contributions and Research Focus 🔬

Song He’s research primarily revolves around novel radiation detectors and scintillator technologies. In particular, he has developed a new class of scintillators that overcome traditional limitations by using hot exciton molecules (TPE-4Br) and conjugated polymers (PVT) to enhance performance. His contributions have led to breakthroughs in X-ray imaging and fast neutron imaging resolution, significantly advancing the field of radiation detection.

Impact and Influence 🌍

Song He’s work is paving the way for high-resolution imaging technologies that can have a significant impact in fields such as medical diagnostics, nuclear physics, and security imaging. His innovative approaches are influencing both academic research and practical applications. His recent paper in Advanced Functional Materials (DOI: 10.1002/adfm.202503688) received recognition for offering a new solution to long-standing challenges in the radiation detection field.

Academic Citations 📑

Although Song He’s citation index is not formally listed, his work is published in top-tier journals like Advanced Functional Materials, Inorganic Chemistry, Advanced Materials, and The Journal of Physical Chemistry C. The high impact of his research is evident in the citations of his publications, showing their relevance and influence in the scientific community.

Research Skills 🧠

Song He demonstrates exceptional skills in materials science, physics, and electronic technology. His ability to synthesize innovative materials and develop advanced radiation detectors showcases his technical expertise. Additionally, he has practical skills in scintillator synthesis, polymer chemistry, and in-situ polymerization. His experimental design and analytical techniques allow for high-precision imaging, which is crucial for the future of radiation detection.

Awards and Honors 🏅

Currently, Song He has not reported receiving formal awards or honors. However, the significance of his innovative research and published work in high-impact journals positions him as a rising star in his field. His patent applications and scientific contributions hint at a promising future where such recognitions are likely.

Legacy and Future Contributions 🔮

With his cutting-edge research in radiation detectors and imaging technologies, Song He is poised to make long-lasting contributions to both academic and industry sectors. His future work holds the potential for further advancements in medical imaging, nuclear research, and security applications, with his innovative materials providing solutions to longstanding challenges. As his career progresses, Song He is expected to become a significant figure in radiation detection technologies, with lasting impact on both science and society.

Publications Top Notes

High‐Performing Direct X‐Ray Detection Made of One‐Dimensional Perovskite‐Like (TMHD)SbBr₅ Single Crystal With Anisotropic Response

  • Authors: Guangya Zheng, Haodi Wu, Song He, Hanchen Li, Zhiwu Dong, Tong Jin, Jincong Pang, Rachid Masrour, Zhiping Zheng, Guangda Niu et al.
    Journal: Small
    Year: 2025

Hot Exciton‐Based Plastic Scintillator Engineered for Efficient Fast Neutron Detection and Imaging

  • Authors: Song He, Pengying Wan, Hanchen Li, Zizhen Bao, Xinjie Sui, Guangya Zheng, Hang Yin, Jincong Pang, Tong Jin, Shunsheng Yuan et al.
    Journal: Advanced Functional Materials
    Year: 2025

Close‐to‐Equilibrium Crystallization for Large‐Scale and High‐Quality Perovskite Single Crystals

  • Authors: Hang Yin, Mingquan Liao, Yuanpeng Shi, Zhiqiang Liu, Hanchen Li, Song He, Zhiping Zheng, Ling Xu, Jiang Tang, Guangda Niu
    Journal: Advanced Materials
    Year: 2025

BiSBr, an Anisotropic One-Dimensional Chalcohalide Used for Radiographic Detection

  • Authors: Yunmeng Liang, Pang Jincong, Zhang Qingli, He Song, Xu Ling, Luo Wei, Zhiping Zheng, Guangda Niu
    Journal: The Journal of Physical Chemistry C
    Year: 2024

Remarkable Improvement of Thermoelectric Performance in Ga and Te Cointroduced Cu₃SnS₄

  • Authors: Song He, 勇 罗, Liangliang Xu, Yue Wang, Zhongkang Han, Xie Li, Jiaolin Cui
    Journal: Inorganic Chemistry
    Year: 2021

 

 

Seyyed Abdollahi | High energy physics | Member

Mr. Seyyed Abdollahi | High energy physics | Member

Scholarship at Tabriz University, Iran

I was B.Sc. Student in Mechanical Engineering at Tabriz University and I was among the top 5%, I also received a full scholarship from Tabriz University for the master’s degree, and now I am a master’s student in energy conversion trend at Tabriz University. I was also a Teacher assistant in the Strength of Materials and Design of Machine Elements courses, and I have been working with Dr. Seyyed Faramarz Ranjbar and Dr. Farid Vakili Tahami for 1 year. I am also interested in researching the topics of Power Plants, Thermodynamics, Fluid mechanics, Air conditioning, Energy and Solar energy. Which led to the writing three books I am also interested in working and researching on these topics in the future: 1-Renewable Energy 2-Exergy Analysis 3-Piezoelectric Micropumps 4-Photovoltaics(PV) 5-Nanofluids 6-Energy Analysis 7-Fuel Cells 8-Analysis of Wind Turbin

Professional Profiles:

Education

Master of Mechanical Engineering Branch: Energy Conversion Institute/University: Tabriz University Tabriz , East Azerbaijan, Iran 2022 – Present Bachelor of Mechanical Engineering Institute/University: Tabriz University Tabriz , East Azerbaijan, Iran 2018 – 2022 GPA : 17.90(out of 20)

Work Experience

Internship Tabeiz Thermal Power Station Tabriz , East Azerbaijan, Iran July 2021 – August 2021 Tasks and Achievements Teacher Assistant in the Design of Machine Elements course Tabriz University Tabriz , East Azerbaijan, Iran September 2021 – Present Tasks and Achievements Teacher Assistant in the Power Plants course Tabriz University Tabriz , East Azerbaijan, Iran September 2022 – January 2023 Email: s.a_abdollahi@yahoo.com Mobile: (+98)9380596289 Website: www.linkedin.com/in/seyyed-amirrezaabdollahi-powerplants-renewableenergy Address: Tabriz , East Azerbaijan, Iran DoB: 1998-09-24 Marital Status: Single Military Service: Educational Exemption Seyyed Amirreza Abdollahi Mechanical Engineering Profile Summary Education Work Experience I went to the Tabriz Thermal Power Plant for a training course. There i observed the things that i studied theoretically in the Thermodynamics course. I visited the important parts ofthe power plant such as ControlRoom, Steam Turbines, Boilers, Cooling Towers and the Chemical Department . Results of my research led me to write a book called “Tabriz Thermal Power Plant” As a teacher’s assistant, I solved additional exercises forthe students and supervised their

Research Focus:

The research focus of SA Abdollahi spans across various fields, primarily centered around computational fluid dynamics (CFD), heat transfer, nanofluids, porous media techniques, and numerical analysis. Their work encompasses simulations of heat transfer and fluid flow in microchannel heat sinks, investigation of blood hemodynamics in aneurysms, optimization of chemical processes, and modeling the separation capabilities of membranes. Additionally, they explore topics such as magnetohydrodynamics, biomaterial phase equilibria, and the application of machine learning techniques in estimating biomass properties. Abdollahi’s research demonstrates a broad interest in advancing understanding and optimization across diverse engineering and scientific domains.

Publications

  1. Computer simulation of Cu: AlOOH/water in a microchannel heat sink using a porous media technique and solved by numerical analysis AGM and FEM, cited by: 37, Publication: 2023.
  2. Investigating heat transfer and fluid flow betwixt parallel surfaces under the influence of hybrid nanofluid suction and injection with numerical analytical technique, cited by: 29, Publication: 2023.
  3. Computational study of blood hemodynamic in ICA aneurysm with coiling embolism, cited by: 18, Publication: 2023.
  4. Numerical study of heat transfer of wavy channel supercritical CO2 PCHE with various channel geometries, cited by: 11, Publication: 2023.
  5. Influence of extruded injector nozzle on fuel mixing and mass diffusion of multi fuel jets in the supersonic cross flow: computational study, cited by: 9, Publication: 2023.
  6. Removal of ciprofloxacin and cephalexin antibiotics in water environment by magnetic graphene oxide nanocomposites; optimization using response surface methodology, cited by: 7, Publication: 2023.
  7. Optimizing the amount of concentration and temperature of substances undergoing chemical reaction using response surface methodology, cited by: 7, Publication: 2023
  8. Phase Equilibria Simulation of Biomaterial-Hydrogen Binary Systems Using a Simple Empirical Correlationcited by: 6, Publication: 2023
  9. Modeling the CO2 separation capability of poly(4-methyl-1-pentane) membrane modified with different nanoparticles by artificial neural networks,  cited by: 5, Publication: 2023
  10. Applying feature selection and machine learning techniques to estimate the biomass higher heating valuecited by: 3, Publication: 2023
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