Jia Jinlong | Engineering | Research Excellence Award

Published on by Global Scholar Awards

Assoc. Prof. Dr. Jia Jinlong | Engineering | Research Excellence Award

Head of the Mining Department | Wuhan Institute of Technology | China

Dr. Jinlong Jia is a researcher at the Lanzhou Institute of Technology, China, specializing in coal engineering, gas extraction technologies, and energy-related geomechanics with a focus on improving safety, efficiency, and sustainability in coal mining operations. With 24 scientific publications, 434 citations, and an h-index of 12, he has established a strong research profile in the fields of coal pore structure evolution, borehole optimization, and fluid–rock interactions under complex geological conditions. His recent work includes developing numerical simulation models to quantitatively evaluate effect factors in multi-branch pinnate borehole gas extraction in high-gas thick coal seams, and investigating the influence of CO₂–H₂O interaction time on coal pore morphology and water migration, published in Energy and already earning citations for its contributions to clean energy and mine safety. Dr. Jia’s research integrates computational modeling, experimental coal chemistry, and engineering applications to address critical challenges in methane extraction, gas-solid coupling mechanisms, and geological hazard prevention. Over his career, he has collaborated with more than 67 co-authors, demonstrating extensive engagement in multidisciplinary and multi-institutional research teams working across geology, mining engineering, and energy science. His findings contribute to national and global efforts toward safer mining environments, enhanced gas utilization, reduced greenhouse gas emissions, and improved resource recovery efficiency. Through advancing both theoretical understanding and practical solutions in coalbed methane extraction and pore-scale mechanisms, Dr. Jia continues to play a significant role in supporting sustainable energy development and improving engineering practices within the mining and geoscience sectors.

Profile: Scopus 

Featured Publications

Zhu, X., Jia, J., Zhang, L., Ma, Z., Qin, Z., Zhang, H., & Liu, Z. (2025). Study on the numerical simulation model for quantitative evaluation on effect factors of multi‑branch pinnate borehole gas extraction in high‑gas thick coal seams. Himalayan Geology, 46(2), 125–135.

Xu, H., Hu, J., Liu, H., Ding, H., Zhang, K., Jia, J., Fang, H., & Gou, B. (2024). Effect of the interaction time of CO₂–H₂O on the alterations of coal pore morphologies and water migration during wetting. Energy, 294, Article 130944. https://doi.org/10.1016/j.energy.2024.130944

Muhammad Punhal Sahto | Mechanical Engineering | Best Researcher Award

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Assist. Prof. Dr. Muhammad Punhal Sahto | Mechanical Engineering | Best Researcher Award

Assistant Professor | NFC Institute of Engineering and Technology | Pakistan

Assist. Prof. Dr. Muhammad Punhal Sahto is a distinguished academic and researcher in Mechanical Engineering, currently serving as an Assistant Professor at the Department of Mechanical Engineering, NFC IET Multan, Pakistan (since June 2024). Previously, he worked at The University of Lahore as Assistant Professor (2015–2024) and Lecturer (2009–2015). Dr. Sahto earned his Ph.D. in Mechanical Engineering from the University of Electronic Science and Technology of China (2017–2023), where he conducted advanced research on the Analysis and Performance of Static and Dynamic Characteristics of Aerostatic Bearings. He holds an M.S. in Mechanical Engineering from the University of Engineering and Technology, Lahore (2007–2014), and a B.E. in Mechanical Engineering from Quaid-e-Awam University of Engineering, Science, and Technology, Nawabshah (2002–2006). His research interests encompass aerostatic and porous bearings, tribology, advanced materials, micro-electromechanical systems, and renewable energy integration. He has published extensively in high-impact journals such as IEEE Access, Micromachines, Results in Engineering, and MRS Energy & Sustainability, with multiple works under review in leading journals. His research skills include proficiency in AutoCAD, ANSYS Workbench, MATLAB, Origin, Microsoft Office, and LATEX, coupled with expertise in analytical modeling, experimental design, and numerical simulation. Dr. Sahto has served as a reviewer for international journals including IEEE Access and Micromachines, and actively contributes to the global research community. His awards and honors include the Academic and Research Achievement Award (2023) from UESTC, a University Scholarship (2017) for his Ph.D. studies, and recognition as a PEC-registered professional engineer (MECH/19629). Fluent in English, Sindhi, and Urdu, Dr. Sahto combines academic excellence, research innovation, and teaching expertise, contributing significantly to the advancement of precision engineering and sustainable technological solutions.

Profiles: Google Scholar | Scopus | ORCID | LinkedIn | ResearchGate

Featured Publications

  1. Sahto, M. P., Wang, W., Imran, M., He, L., Li, H., & Weiwei, G. (2020). Modelling and simulation of aerostatic thrust bearings. IEEE Access, 8, 121299–121310. https://doi.org/10.1109/ACCESS.2020.2999748 Cited by: 25

  2. Sahto, M. P., Wang, W., Sanjrani, A. N., Hao, C., & Shah, S. A. (2021). Dynamic performance of partially orifice porous aerostatic thrust bearing. Micromachines, 12(8), 989. https://doi.org/10.3390/mi12080989 Cited by: 9

  3. Sahto, M. P., Wei, W., Jamil, M. F., Mehmood, A., Sattar, M., Raza, A., Rahman, M. U., & others. (2024). Integrating experimental and theoretical investigations of porous graphite materials with scanning electron microscope image processing. Results in Engineering, 24, 102893. https://doi.org/10.1016/j.rineng.2024.102893 Cited by: 6

  4. Sanjrani, A. N., Huang, H. Z., Shah, S. A., Hussain, F., Punhal, M., Narejo, A., & Zhang, B. (2024). High-speed train wheel set bearing analysis: Practical approach to maintenance between end of life and useful life extension assessment. Results in Engineering, 25, 103696. https://doi.org/10.1016/j.rineng.2024.103696 Cited by: 5

  5. Jamil, M. F., Sahto, M. P., & Mehmood, A. (2025). Comprehensive study on high-performance machining (HPM) of Inconel-718: A review. The International Journal of Advanced Manufacturing Technology, 1–33. https://doi.org/10.1007/s00170-025-16225-z Cited by: 3

Jian Liu | Engineering | Best Researcher Award

Published on by Global Scholar Awards

Assoc. Prof. Dr. Jian Liu | Engineering | Best Researcher Award

Deputy Director of the Department at Tiangong University, China

Assoc. Prof. Dr. Jian Liu is a senior experimentalist and Master’s Supervisor at Tiangong University, specializing in ultra-fine fiber preparation, textile machinery design, and automation. With a PhD in Mechanical Design and Theory, he has led and contributed to six major research projects, including those funded by the National Natural Science Foundation of China and the National Development and Reform Commission. Dr. Liu has played a key role in 13 horizontal projects and four new product developments for enterprises. His innovative contributions are evident in his 11 national invention patents, multiple utility model and appearance patents, and software copyrights. As a prolific researcher, he has published over 20 scientific papers as the first author. Beyond research, he actively mentors students and advances engineering education. With a strong track record in applied research and industry collaboration, Dr. Liu continues to make significant contributions to mechanical engineering and automation.

Professional Profile 

Education

Assoc. Prof. Dr. Jian Liu has a strong academic background in mechanical engineering. He earned his Bachelor of Engineering degree in Mechanical Design, Manufacturing, and Automation from the School of Mechanical Engineering at Shandong University of Technology in 2007. Continuing his education at the same institution, he obtained a Master’s degree in Mechanical and Electronic Engineering in 2010. Driven by a passion for research and innovation, he pursued a PhD in Mechanical Design and Theory at Tiangong University, completing his doctoral studies in 2019. His academic journey reflects a continuous commitment to advancing his expertise in mechanical engineering, particularly in design, automation, and manufacturing technologies. Through his higher education and research, Dr. Liu has developed a strong foundation that supports his contributions to both academia and industry, playing a crucial role in advancing new technologies and mentoring the next generation of engineers.

Professional Experience

Assoc. Prof. Dr. Jian Liu has extensive professional experience in mechanical engineering education and research. He began his career as a teaching assistant at the Engineering Teaching Internship Training Center of Tiangong University in 2010. In 2013, he was promoted to lecturer, further strengthening his role in academia. After earning his PhD in 2019, he continued his career as an experimentalist at the same institution, where he contributed to hands-on engineering education and research. In 2020, he was appointed as a senior experimentalist, overseeing advanced experimental research and training. With over a decade of experience, Dr. Liu has been actively involved in mentoring students, leading research projects, and contributing to industrial innovation. His expertise in ultra-fine fiber preparation, textile machinery design, and automation has made him a key figure in bridging academic research with real-world applications, enhancing both educational and technological advancements in his field.

Research Interest

Assoc. Prof. Dr. Jian Liu’s research interests lie in the fields of ultra-fine fiber preparation technology, textile machinery design, and automation. His work focuses on developing innovative techniques for producing high-performance fibers with enhanced properties for various industrial applications. He is also deeply involved in the design and optimization of advanced textile machinery, aiming to improve manufacturing efficiency and precision. Additionally, Dr. Liu explores automation technologies to enhance production processes, integrating smart control systems and intelligent manufacturing techniques. His research contributions extend beyond theoretical studies, as he actively collaborates with industry partners to develop cutting-edge solutions for modern textile and mechanical engineering challenges. With numerous patents and publications, Dr. Liu continues to push the boundaries of mechanical design, automation, and material science, striving to bridge the gap between research and practical application in the evolving landscape of engineering and manufacturing.

Award and Honor

You haven’t mentioned specific awards and honors in your resume. However, based on your research contributions, patents, and publications, you may have received recognitions that can strengthen your profile. If you have received awards for research excellence, innovation, patents, or teaching achievements, highlighting them would enhance your candidacy for honors like the Best Researcher Award.If you provide details on any grants, fellowships, best paper awards, innovation prizes, or academic honors, I can craft a precise and compelling paragraph

Research Skill

Assoc. Prof. Dr. Jian Liu possesses strong research skills in mechanical engineering, specializing in ultra-fine fiber preparation, textile machinery design, and automation. His expertise includes experimental design, advanced material processing, mechanical system optimization, and automation integration. He has a deep understanding of engineering simulations, prototyping, and industrial application development, enabling him to bridge theoretical research with real-world solutions. Dr. Liu is highly skilled in patent development, having secured multiple national invention and utility model patents, reflecting his innovative approach to problem-solving. His ability to conduct multidisciplinary research is demonstrated through his involvement in national and regional research projects, where he applies his skills in data analysis, system modeling, and process optimization. Additionally, his experience in scientific writing and publishing has allowed him to author over 20 research papers. With a strong foundation in mechanical design and automation, Dr. Liu continues to drive innovation in engineering research.

Conclusion

Your strong research background, patent portfolio, and industry collaborations make you a competitive candidate for the Best Researcher Award. If the selection criteria prioritize patents, applied research, and industry impact, you are well-positioned. However, strengthening your international presence and independent funding leadership could further elevate your profile.

Publications Top Noted

  • Author(s): P. Wang, B. Wang, L. Zhao, L. Nie, J. Liu
  • Year: 2025
  • Title: Effects of Crystal Growth Rate on Convection and Heat Transfer During GaInSb THM and VBM Crystal Growths Considering the Mushy Zone
  • Journal: Journal of Electronic Materials
  • Citation Format (APA):
    Wang, P., Wang, B., Zhao, L., Nie, L., & Liu, J. (2025). Effects of crystal growth rate on convection and heat transfer during GaInSb THM and VBM crystal growths considering the mushy zone. Journal of Electronic Materials.
  • Citation Format (IEEE):
    P. Wang, B. Wang, L. Zhao, L. Nie, and J. Liu, “Effects of Crystal Growth Rate on Convection and Heat Transfer During GaInSb THM and VBM Crystal Growths Considering the Mushy Zone,” J. Electron. Mater., 2025.
  • Citation Format (Harvard):
    Wang, P., Wang, B., Zhao, L., Nie, L. and Liu, J. (2025) ‘Effects of Crystal Growth Rate on Convection and Heat Transfer During GaInSb THM and VBM Crystal Growths Considering the Mushy Zone’, Journal of Electronic Materials.