Assoc. Prof. Dr. Lingjun Song | Hydrogen Energy | Best Researcher Award

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Assoc. Prof. Dr. Lingjun Song | Hydrogen Energy | Best Researcher Award

Assoc. Prof. Dr. Lingjun Song , Hydrogen Energy , Associate Professor at  Beihang University, China

Dr. Lingjun Song is an Associate Professor at the School of Transportation Science and Engineering, Beihang University. With a strong academic background in automotive and transportation engineering, he has made significant contributions to the field of hydrogen energy production. His research is primarily centered on hydrogen production technologies using plasma-catalyst reforming, water electrolysis systems, and hybrid configurations for renewable hydrogen. Dr. Song has enhanced his international exposure through a year-long visiting scholar position at the University of Michigan, further enriching his global academic perspective. His interdisciplinary research spans energy systems, catalytic processes, and environmental sustainability. Widely published in prestigious journals like Applied Energy and the International Journal of Hydrogen Energy, he is also a recognized educator and has been the recipient of multiple teaching and research excellence awards. Dr. Song continues to be a leading voice in developing sustainable hydrogen technologies in China and beyond.

Professional Profile : 

Scopus 

Summary of Suitability for Award:

Dr. Lingjun Song, Associate Professor at Beihang University, is a highly accomplished researcher in the field of hydrogen energy and plasma-based fuel reforming technologies. His academic career is marked by sustained productivity, innovation, and interdisciplinary impact in clean and renewable energy systems. His contributions span electrolysis, plasma-assisted reforming, and hybrid hydrogen production systems, with numerous high-impact publications in journals such as Applied Energy and International Journal of Hydrogen Energy. He has maintained active research collaborations with top-tier institutions like Tsinghua University and the University of Michigan, further demonstrating the global relevance and adaptability of his work.  Dr. Lingjun Song is highly suitable for the “Best Researcher Award”. His research is impactful, innovative, and societally relevant, addressing global energy challenges through technological advancement in hydrogen production. With a solid publication record, cross-disciplinary expertise, strong academic collaborations, and recognized awards, he exemplifies the qualities of a world-class researcher. His selection would be both justified and inspiring in promoting excellence in energy research and academic leadership.

🎓Education:

Dr. Lingjun Song completed his Bachelor’s degree in Automotive Engineering from Harbin Institute of Technology (HIT), one of China’s leading institutions in mechanical and transportation sciences. His passion for hydrogen energy and sustainable transportation led him to pursue doctoral studies at Beihang University (BUAA), where he earned his Ph.D. from the School of Transportation Science and Engineering. During his doctoral research, he specialized in advanced plasma reforming techniques for hydrogen production, which laid the foundation for his subsequent academic and research career. His rigorous academic training encompassed both experimental and theoretical methodologies, emphasizing chemical kinetics, fuel cell technologies, and energy systems optimization. His educational background has equipped him with a solid grasp of interdisciplinary research, blending chemistry, engineering, and environmental science, making him highly effective in tackling current and future energy challenges.

🏢Work Experience:

Dr. Lingjun Song has been serving as an Associate Professor at Beihang University since 2010, where he teaches and conducts research in transportation energy systems. He began his professional career as a Postdoctoral Researcher at Tsinghua University, where he worked on advanced hydrogen generation technologies. He later expanded his academic horizon by joining the University of Michigan as a visiting scholar, contributing to international research on sustainable hydrogen production systems. At Beihang, he has led numerous research projects involving plasma-assisted reforming, alkaline water electrolysis, and multi-electrolyzer systems. His role includes mentoring graduate students, publishing cutting-edge research, and collaborating with both academic and industrial partners. With over a decade of research and teaching experience, Dr. Song brings a blend of practical application and theoretical rigor to his field. His diverse experience has positioned him as a thought leader in hydrogen-based energy solutions.

🏅Awards: 

Dr. Lingjun Song has received multiple prestigious awards recognizing his contributions to education and research. He was honored with the Second Prize of the Beijing Municipal Educational and Teaching Achievement Award, acknowledging his innovative teaching methodologies and curriculum development in the energy and transportation sectors. At Beihang University, he has earned the Third Prize for Teaching Excellence, reflecting his dedication to student learning and academic excellence. In recognition of his scholarly potential, he was named a “Zhicheng Guanjun Outstanding Young Scholar”, which is a significant title awarded to emerging academic leaders. Additionally, he received the “Lantian Xinxiu” Award, showcasing his early promise and consistent academic growth. These honors underscore Dr. Song’s dual strengths as an educator and researcher, highlighting his commitment to pushing the frontiers of clean energy technologies and nurturing the next generation of scientists and engineers.

🔬Research Focus:

Dr. Lingjun Song’s research focuses on hydrogen energy technologies, particularly hydrogen production from renewable sources and plasma-catalyst reforming techniques. His work explores innovative ways to generate hydrogen using gliding arc discharge plasma, dielectric barrier discharge, and electrolytic systems, making his research critical to the advancement of clean energy. He also specializes in designing and optimizing off-grid hydrogen systems integrated with wind energy, multi-electrolyzer configurations, and control strategies for sustainable hydrogen storage and utilization. Dr. Song applies both experimental and computational approaches to study reaction kinetics, catalyst behavior, and plasma discharge mechanisms. His interdisciplinary work contributes to the fields of environmental engineering, alternative fuels, and energy system integration. With the goal of achieving carbon neutrality, his research offers impactful insights into next-generation energy technologies that are scalable and environmentally responsible. He actively collaborates across disciplines to bridge the gap between theoretical innovation and industrial application.

Publication Top Notes:

1. Hydrogen Production by Water Electrolysis: Advances, Challenges and Future Prospects

2. Research on Oxygen Purity Based on Industrial Scale Alkaline Water Electrolysis System with 50Nm³ H₂/h

Citations: 3 

3. Study on Configuration and Control Strategy of Electrolyzers in Off-Grid Wind Hydrogen System

 

 

 

Dr. Sohail Ahmad Khan | Thermodynamics | Young Scientist Award

Published on by Chemistry Awards

Dr. Sohail Ahmad Khan | Thermodynamics | Young Scientist Award

 Thermodynamics | Research Associate at Quaid I Azam University Islamabad, Pakistan

Dr. Sohail Ahmad Khan is a distinguished mathematician specializing in applied mathematics and fluid mechanics. He is currently affiliated with the Department of Mathematics at Quaid-i-Azam University, Islamabad, Pakistan. With a remarkable research portfolio, he has contributed extensively to numerical simulations, mathematical modeling, and fluid mechanics . His groundbreaking work has been recognized globally, with multiple prestigious awards, including the World’s Top 2% Global Scientists Influence Ranking by Stanford University in 2022 and 2024. An active academician, he has served as a reviewer for 120+ high-impact journals and played a key role in organizing international conferences. Dr. Khan’s research, spanning 127+ ISI-indexed publications and a cumulative impact factor exceeding 500, has garnered 2,515+ citations with an H-index of 30. His contributions continue to shape modern applied mathematics, making him a leading figure in computational fluid dynamics and mathematical modeling.

Professional Profile :

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Summary of Suitability for Award:

Dr. Sohail Ahmad Khan, a distinguished researcher in applied mathematics, has made remarkable contributions to fluid mechanics, computational mathematics, and numerical analysis. His extensive research output includes 127 ISI-indexed publications, an H-index of 30, and over 2,515 citations, demonstrating significant impact in his field. He has been recognized among the World’s Top 2% Scientists by Stanford University in 2022 and 2024, a testament to his global influence. His work has garnered prestigious accolades, including the Best Researcher Gold Medal and multiple International Research Awards on New Science Inventions. Given his exceptional research contributions, international recognition, and academic leadership, Dr. Sohail Ahmad Khan is highly suitable for the “Young Scientist Award.” His groundbreaking work in applied mathematics and fluid mechanics, coupled with his impressive publication record and global impact, makes him a strong contender for this prestigious recognition.

🎓Education:

Dr. Sohail Ahmad Khan pursued his academic journey in mathematics from top institutions in Pakistan. He earned his Ph.D. in Applied Mathematics (2024) from Quaid-i-Azam University, Islamabad, focusing on advanced fluid mechanics and numerical simulations. Prior to this, he completed an MPhil in Applied Mathematics (2019) from the same institution, where he developed expertise in computational modeling. He obtained his MSc in Applied Mathematics (2017) from Quaid-i-Azam University, further strengthening his analytical and theoretical knowledge. His foundational education in mathematics and physics began with a BSc in Mathematics & Physics (2014) from University of Science and Technology, Bannu, Pakistan. Dr. Khan’s academic excellence has been recognized through multiple scholarships and fellowships, including the Chief Minister Education Endowment Scholarship (KPK Government) and MPhil and PhD Fellowships from Quaid-i-Azam University. His rigorous educational background has laid a strong foundation for his impactful research career.

🏢Work Experience:

Dr. Sohail Ahmad Khan is an experienced mathematician and educator specializing in applied mathematics. He has been actively involved in teaching undergraduate courses, including Fluid Mechanics, Calculus, Linear Algebra, Integral Equations, and Mathematical Methods for Statistics at Quaid-i-Azam University. As an academic researcher, he has authored 127+ ISI-indexed publications and reviewed manuscripts for 120+ high-impact international journals. He has played a significant role in organizing international conferences, including the 9th International Conference on Recent Developments in Fluid Mechanics, Environmental Science, and Renewable Energy (2023). His research collaborations extend across multiple domains, focusing on numerical simulations, computational modeling, and fluid dynamics. He has also contributed to the International Symposium on Climate Change (2024) and the 25th Conference of the Islamic World Academy of Sciences (IAS) on Water-Energy-Food-Ecosystem Nexus (2024). Through his teaching, research, and editorial contributions, Dr. Khan continues to make a profound impact in applied mathematics.

🏅Awards: 

Dr. Sohail Ahmad Khan has received numerous prestigious awards in recognition of his outstanding contributions to applied mathematics and fluid mechanics. He was listed in the World’s Top 2% Global Scientists Influence Ranking by Stanford University (2022 & 2024). His groundbreaking work has earned him the International Research Award for New Science Inventions in the Young Scientist and Best Researcher categories. During his Ph.D., he was honored with the Best Researcher Gold Medal by the Fluid Mechanics Group at Quaid-i-Azam University. His article was recognized as a Top Cited Paper in ZAMM Journal of Applied Mathematics and Mechanics (2022-2023). Additionally, he was awarded the Chief Minister Education Endowment Scholarship by the KPK Government for academic excellence. His contributions extend beyond research, as he has been a key participant in multiple high-profile international conferences addressing climate change, environmental science, and applied mathematics.

🔬Research Focus:

Dr. Sohail Ahmad Khan’s research primarily focuses on applied mathematics, fluid mechanics, and numerical simulations. His work involves the modeling of fluid flow, heat transfer, and computational techniques for solving real-world engineering problems. His expertise extends to boundary layer theory, magnetohydrodynamics (MHD), nanofluids, and biofluid dynamics. A significant aspect of his research explores the influence of thermal radiation, entropy generation, and nonlinear convection in fluid mechanics. He has made substantial contributions to the development of mathematical models for complex physical phenomena, with applications in environmental science, renewable energy, and climate change analysis. His 127+ ISI-indexed publications in high-impact Q1 journals highlight his innovative contributions, with a cumulative impact factor exceeding 500. Dr. Khan continues to bridge the gap between theoretical and applied mathematics, working on computational techniques for solving partial differential equations (PDEs) and integral equations in fluid dynamics and thermal analysis.

Publication Top Notes:

Retinal microglial activation and inflammation induced by amadori-glycated albumin in a rat model of diabetes

Citations: 219

The HOPE (Heart Outcomes Prevention Evaluation) study: the design of a large, simple randomized trial of an angiotensin-converting enzyme inhibitor (ramipril) and vitamin E in …

Citations: 189

Mediation of cannabidiol anti-inflammation in the retina by equilibrative nucleoside transporter and A2A adenosine receptor

Citations: 184

Theoretical investigation of Ree–Eyring nanofluid flow with entropy optimization and Arrhenius activation energy between two rotating disks

Citations: 173

Trends in bariatric surgery from 2008 to 2012

Citations: 136

Melting heat transportation in radiative flow of nanomaterials with irreversibility analysis

Citations: 119

Drug nanodelivery systems based on natural polysaccharides against different diseases

Citations: 112

Optimizing the theoretical analysis of entropy generation in the flow of second grade nanofluid

Citations: 111

Computational analysis of heat transfer in mixed convective flow of CNTs with entropy optimization by a curved stretching sheet

Citations: 86

Prevalence of obesity in Indian women

Citations: 86