Yingyuan Liu | Engineering | Women Researcher Award

Posted on by Academic achievements

Ms. Yingyuan Liu | Engineering | Women Researcher Award

Professor | Shanghai Normal university | China

Dr. Liu Yingyuan is an accomplished researcher and faculty member specializing in the application of artificial intelligence (AI) in fluid machinery. With a strong academic foundation and extensive professional experience, she has contributed significantly to advancing machine learning models, turbulence analysis, airfoil optimization, and fault diagnosis. Currently serving at Shanghai Normal University, Dr. Liu’s expertise bridges the intersection of AI and fluid mechanics, making her a leader in her field.

Profile

Scopus

Education

Dr. Liu Yingyuan earned her Ph.D. in Fluid Machinery from Zhejiang University in 2016, where she focused on the intricate dynamics of fluid mechanics and advanced computational methods. Her undergraduate studies in Process Equipment and Control Engineering at the China University of Petroleum (East China), completed in 2011, laid a strong foundation in engineering principles and process optimization.

Experience

Dr. Liu has been a faculty member at Shanghai Normal University, where she combines her deep research expertise with her passion for teaching. Her academic career is marked by impactful research, collaborative projects, and mentorship of students, particularly in the realm of AI applications in fluid mechanics. Her contributions extend beyond academia through her active engagement in professional committees and collaborations with industry experts.

Research Interests

Dr. Liu’s research is centered on leveraging artificial intelligence technologies to address complex challenges in fluid machinery. Her interests include machine learning modeling for turbulence, optimal airfoil shape design, and fault diagnosis in fluid machinery. By integrating AI with engineering, she has developed innovative solutions that enhance the efficiency and reliability of mechanical systems.

Awards

Dr. Liu’s innovative research has garnered recognition in the academic and professional community. Notably, her studies in machine learning-driven fault diagnosis and airfoil optimization have earned her nominations for awards in engineering and AI applications. Her commitment to excellence continues to inspire peers and students alike.

Publications

  1. Liu YY, Shen JX, Yang PP, Yang XW. A CNN-PINN-DRL driven method for shape optimization of airfoils. Engineering Application of Computational Fluid Mechanics, 2025, 19(1): 2445144.
    • Cited by: Researchers developing AI-driven aerodynamics models.
  2. Shen JX, Liu YY, Wang Leqin.* A Deep Learning-Based Method for Airfoil Parametric Modeling. Chinese Journal of Engineering Design, 2024, 31(03): 292-300.
    • Cited by: Articles on parametric modeling techniques.
  3. Liu D, Liu YY. A Deep Learning-Based Fault Diagnosis Method for Fluid Machinery with Small Samples. Journal of Shanghai Normal University (Natural Sciences), 2023, 52(02): 264-271.
    • Cited by: Studies on fault diagnosis in mechanical systems.
  4. Liu YY, Gong JG, An K, Wang LQ. Cavitation Characteristics and Hydrodynamic Radial Forces of a Reversible Pump–Turbine at Pump Mode. Journal of Energy Engineering, 2020, 146(6): 04020066.
    • Cited by: Publications on hydrodynamics and pump-turbine systems.
  5. Liu Y Y, An K, Liu H, et al. Numerical and experimental studies on flow performances and hydraulic radial forces of an internal gear pump with a high pressure. Engineering Applications of Computational Fluid Mechanics, 2019, 13: 1, 1130-1143.
    • Cited by: Research focused on internal gear pump performance.
  6. Liu Y Y, Wang L Q, Zhu Z C.* Experimental and numerical studies on the effect of inlet pressure on cavitating flows in rotor pumps. Journal of Engineering Research, 2016, 4(2): 151-171.
    • Cited by: Studies on cavitation phenomena in rotor pumps.
  7. Liu Y Y, Wang L Q, Zhu Z C.* Numerical study on flow characteristics of rotor pumps including cavitation. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2015, 229(14): 2626-2638.
    • Cited by: Articles on numerical modeling of fluid flows.

Conclusion

Dr. Liu Yingyuan exemplifies the integration of advanced engineering knowledge and AI-driven innovation. Her pioneering contributions to the fields of fluid mechanics and machinery have not only pushed technological boundaries but also inspired the next generation of engineers and researchers. Dr. Liu’s work continues to serve as a cornerstone for advancements in intelligent mechanical systems, ensuring her lasting impact on both academia and industry.

Sumit Kumar | Geotechnical Engineering | Best Researcher Award

Posted on by Academic achievements

Dr. Sumit Kumar | Geotechnical Engineering | Best Researcher Award

Dr. Sumit Kumar | Geotechnical Engineering – Assistant Professor at Aditya College of Technology and Science, Satna in India

Dr. Sumit Kumar is an accomplished researcher and academician specializing in geotechnical engineering. Serving as an Assistant Professor in the Department of Civil Engineering at Aditya College of Technology and Science, Satna, he is highly regarded for his innovative contributions to slope stability analysis, foundation mechanics, and the application of artificial intelligence in geotechnical studies. His work reflects a blend of theoretical advancements and practical applications, significantly impacting the field of civil engineering.

Profile Verification

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Education

Dr. Sumit Kumar has pursued an illustrious academic career, beginning with a Bachelor of Technology in Civil Engineering from Meghnad Saha Institute of Technology, Kolkata, in 2014. He furthered his studies with a Master of Technology in Geotechnical Engineering from NIT Rourkela in 2019, graduating with an excellent CGPA of 8.35. Currently, he is on the verge of completing his doctoral research at NIT Patna, focusing on slope stability analysis using limit equilibrium methods and soft computing simulations.

Experience

Dr. Kumar began his teaching career as an Assistant Professor at St. Mary’s Technical Campus, Kolkata, where he served from May to December 2019. In addition to teaching, he took on leadership roles, such as Head of the Department and Geotechnical Engineering Lab In-Charge. At Aditya College of Technology and Science, he continues to inspire the next generation of engineers with his dedication to education and research. Dr. Kumar also reviews papers for several prestigious international journals, contributing to the broader scientific community.

Research Interests

Dr. Kumar’s research interests are rooted in geotechnical engineering, with a focus on optimization techniques for slope stability problems, earthquake geotechnical engineering, and the use of artificial intelligence in geotechnical studies. He is particularly skilled in applying advanced software tools such as ArcGIS, GEOSTUDIO, Plaxis2D, MATLAB, and RStudio to his research. His work aims to solve real-world engineering problems, particularly in foundation mechanics and the behavior of soils under various stress conditions.

Awards

Dr. Kumar’s dedication to research and innovation has been recognized through various awards and acknowledgments. He has been a key presenter at numerous conferences and workshops, showcasing his research findings to the global engineering community. His active involvement in academic development programs has further strengthened his expertise and teaching capabilities.

Publications

Kumar, S., Choudhary, S. S., & Burman, A. (2023). Probabilistic Slope Stability Analysis of Mount St. Helens Using Scoops3D and a Hybrid Intelligence Paradigm. Mathematics, 11(18), 3809. Cited by 25.
Kumar, S., Choudhary, S. S., & Burman, A. (2023). Recent advances in 3D slope stability analysis: A detailed review. Modeling Earth Systems and Environment, 9(2), 1445-1462. Cited by 18.
Kumar, S., Choudhary, S. S., & Burman, A. (2024). Machine induced dynamic field responses of group piles with different pile arrangements. International Journal of Geo-Engineering, 15(1), 8. Cited by 10.
Kumar, P., Kumar, S., & Choudhary, S. S. (2024). Compressive strength of bentonite concrete using state-of-the-art optimized XGBoost models. Nondestructive Testing and Evaluation, 1–24. Cited by 8.
Kumar, S., Choudhary, S. S., & Burman, A. (2023). The effect of slope height and angle on safety factors in 3D slope analysis. Beni-Suef University Journal of Basic and Applied Sciences, 12(1), 84. Cited by 7.
Kumar, S., Rao, B., Choudhary, S. S., & Burman, A. (2024). Three-Dimensional Slope Failure Response Based on Limit Equilibrium Method. Transportation Infrastructure Geotechnology, 1-31. Cited by 5.
Kumar, S., Choudhary, S. S., & Burman, A. (2023). The Effects of Longitudinal Dimensions in Three-Dimensional Slope Stability Analysis. Civil Engineering Infrastructures Journal. Cited by 4.

Conclusion

Dr. Sumit Kumar stands out as a highly capable candidate for the “Best Researcher Award.” His academic rigor, teaching excellence, and groundbreaking research in geotechnical engineering establish him as a leader in his field. With a strong publication record and impactful contributions to slope stability analysis, Dr. Kumar exemplifies the qualities of a top researcher dedicated to advancing civil engineering.

Pravin Sankhwar | Engineering | Global Impact in Research Award

Posted on by Academic achievements

Mr. Pravin Sankhwar | Engineering | Global Impact in Research Award

Electrical Engineer at Independent Scholar, India

Pravin Sankhwar, P.E., LEED AP (BD+C), is a seasoned Engineering and Business professional with extensive experience in electrical consulting and project management. With over seven years of expertise in designing electrical distribution systems for diverse applications in the U.S., combined with his global petroleum operations experience, Pravin specializes in delivering innovative and sustainable solutions. Currently, he serves as a Consultant Electrical Engineer at WSP USA, contributing to infrastructure development in the transportation sector.

Education🎓

Pravin holds a Ph.D. in General Business (in progress) from the University of the Cumberlands, KY. He earned his M.S. in Electrical Engineering (2016-2017) from Michigan Technological University, MI, where he focused on renewable energy projects. His foundational education was completed with a B.S. in Electrical Engineering (2007-2011) from Malaviya National Institute of Technology, India.

Professional Experience💼

Over the past decade, Pravin has worked in critical roles across esteemed organizations, including WSP USA, Dhillon Engineering, and Hindustan Petroleum Corporation. His responsibilities encompassed designing electrical systems for commercial and residential facilities, transportation infrastructure, and industrial machinery. Pravin has also managed petroleum operations globally, showcasing his versatility and leadership skills.

Research Interests🔬

Pravin is passionate about renewable energy and sustainable electrical systems. His research spans designing floating photovoltaic systems and analyzing wind turbine applications. His academic pursuits reflect his commitment to advancing green technologies and energy-efficient solutions.

Awards and Certifications🏆

Pravin is a licensed Professional Engineer (PE) in Texas and Maryland and a LEED Accredited Professional specializing in Building Design and Construction (BD+C). He is also certified as an ICC Electrical Inspector (E2), demonstrating his technical expertise and adherence to high standards.

Publications📝

Pravin has contributed to academic research through articles published in reputable journals:

Application of Permanent Magnet Synchronous Motor for Electric Vehicle

  • Year: 2024
  • Citations: 4

Future of Gasoline Stations

  • Year: 2024
  • Citations: 2

Energy Reduction in Residential Housing Units

  • Year: 2024
  • Citations: 2

Evaluation of Transition to 100% Electric Vehicles (EVs) by 2052 in the United States

  • Year: 2024
  • Citations: 1

Capital Budgeting for Electrical Engineering Projects: A Practical Methodology

  • Year: 2024

Integration of Energy Management Systems with Smart Grid

  • Year: 2024

Application of Floating Solar Photovoltaics (FPV) for Great Salt Lake, Utah for Reducing Environmental Impact and Power Electric Vehicle Charging Stations

  • Year: 2024

Optimal Selection of Overhead vs Underground Transmission Lines to Mitigate Energy Losses

  • Year: 2024

Wireless Electric Vehicle Charging While in-Motion via Varying Power Sources (Solar and Power Grid)

  • Year: 2024

Conversion of Streetlights to Light-emitting Diode (LED) Type

  • Year: 2024

Evaluation of Energy Demand Required to Supply Increased Load from Transition of Internal Combustion Engine (ICE) Vehicles to Electric Vehicles (EV) by 2052 in the United States

  • Year: 2024

Conclusion🌟

Pravin Sankhwar is a strong candidate for a “Best Researcher Award,” given his robust engineering expertise, professional certifications, and ongoing contributions to the fields of electrical engineering and sustainability. His ability to balance technical and creative skills underscores his versatility as a researcher.

To strengthen his profile further, he could focus on specializing his research, publishing more frequently in high-impact journals, and engaging with the broader engineering and academic community through conferences and public speaking. With these enhancements, his contributions would gain even greater recognition in his field.