Yameng He | Predictive Analytics | Best Researcher Award

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Ms. Yameng He | Predictive Analytics | Best Researcher Award

China University of Mining and Technology | China

PUBLICATION PROFILE

Scopus

👩‍🎓 Summary

Yameng He is a dedicated Ph.D. candidate in Civil Engineering at China University of Mining and Technology. Her research focuses on the geophysical evolution of deep rock masses, the damage mechanisms of concrete structures, and CO2 geological storage. With several published papers in renowned journals and multiple patents in the civil engineering sector, she is a promising young researcher in her field.

🎓 Education

Yameng He earned her Ph.D. in Civil Engineering from China University of Mining and Technology (2020–Present), following her M.S. in Civil Engineering from Shijiazhuang Tiedao University (2017–2020). She completed her B.S. in Civil Engineering at the North China Institute of Aerospace Engineering in 2017.

💼 Professional Experience

Currently, as a Ph.D. student at China University of Mining and Technology, Yameng is engaged in cutting-edge research related to geophysical testing in deep rock masses, CO2 geological storage, and the durability of cement materials. Her work aims to improve infrastructure safety and sustainability in challenging environments.

📚 Academic Publications

Yameng He has co-authored several influential papers, such as the one on the evolution of resistivity and permeability of wellbore cement in geological CO2 storage conditions, published in Construction and Building Materials. She has also contributed to research on concrete damage processes under uniaxial compression and participated in the Annual Meeting of Chinese Geoscience Union (CGU-2021).

🔧 Technical Skills

Yameng’s technical expertise includes the development of multi-field geophysical parameter testing devices, numerical simulations for concrete damage analysis, ultrasonic testing of materials under stress, and deep learning applications for structural health monitoring. These skills enable her to approach complex engineering problems from a highly analytical perspective.

🎓 Teaching Experience

Although primarily focused on her research, Yameng has also participated in teaching activities at China University of Mining and Technology, sharing her knowledge and helping to mentor the next generation of civil engineering professionals.

🔬 Research Interests

Her research spans a range of topics including the geophysical evolution of deep rock masses under hydrothermal conditions, ultrasonic damage detection in concrete, and the impact of CO2 on cement materials in geological storage. Yameng is particularly focused on advancing technologies in multi-physics coupling and structural health monitoring.

📚 Top Notes Publications 

Evolution of resistivity and permeability of wellbore cement after corrosion by supercritical CO2 in geological CO2 storage conditions

  • Authors: Y. He, Yameng, L. Song, Lei, P.G. Ranjtih, P. G., Z. Wang, Zukun, L. Wu, Linjun

  • Journal: Construction and Building Materials

  • Year: 2025

 

Kuntao Ye | Signal Processing Algorithm | Best Researcher Award

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Dr. Kuntao Ye | Signal Processing Algorithm | Best Researcher Award

Jiangxi Univ. of Sci. and Tech. | China

PUBLICATION PROFILE

Orcid

Dr. Kuntao Ye⚡🌍

INTRODUCTION 🌟

Dr. Kuntao Ye is an esteemed academic with a distinguished career in the fields of Electrical Engineering and Physics. As a professor at Jiangxi University of Science and Technology in China, Dr. Ye continues to contribute significantly to higher education, teaching, and research. His extensive academic background and professional experience in both academia and industry have earned him recognition globally. His work encompasses optical sensing, MEMS technology, signal processing, and more, making him a prominent figure in the research community.

EARLY ACADEMIC PURSUITS 📚

Dr. Ye’s academic journey began in China, where he obtained his B.S. and M.S. degrees from Nankai University, specializing in condensed matter physics and optics. His passion for research in photonics and optics led him to pursue a Ph.D. in Electrical Engineering from the University of Cincinnati, where he developed pioneering techniques for integrating optical nanoprobes with CMOS photodetection circuitry.

PROFESSIONAL ENDEAVORS 💼

Dr. Ye has had a wide-ranging career that includes roles as a postdoctoral fellow, product engineer, CTO, and visiting scholar. He has held important teaching positions, including as an associate professor at Jiangxi University of Science and Technology, where he imparts his expertise in signal processing, optoelectronics, and more. His time as a CTO at IntelliSense Corporation, as well as his academic visits to prestigious institutions such as McMaster University and the University of Nevada, have further enriched his professional portfolio.

CONTRIBUTIONS AND RESEARCH FOCUS ON Signal Processing Algorithm 🔬

Dr. Ye’s research spans a diverse array of topics including MEMS technology, optoelectronics, hyperspectral imaging, and signal processing. He has led several major research projects funded by the National Natural Science Foundation of China and other prestigious entities. His work on MEMS-based Fourier transform spectrometers, multi-parameter identification for turbid media, and advancements in image compression and sensing algorithms have earned him a reputation for groundbreaking contributions in these fields.

IMPACT AND INFLUENCE 🌍

Dr. Ye’s research has had a significant impact on various industries, particularly in the fields of optical sensing and MEMS technology. His patented inventions, including novel driving circuits for MEMS micromirrors and infrared-visible light image fusion methods, have been recognized both domestically and internationally. His research findings have been published in leading journals and conferences, further solidifying his position as an influential academic and researcher.

ACADEMIC CITATIONS AND PUBLICATIONS 📑

Dr. Ye has authored over 30 research papers and holds numerous patents. His work has been published in highly respected journals such as the IEEE Access and the Journal of Circuits, Systems, and Computers. His research continues to be cited by scholars and practitioners, particularly in the fields of image processing, hyperspectral sensing, and MEMS technology. His papers on advanced algorithms for image compression and detection techniques have been widely recognized for their innovative approaches.

HONORS & AWARDS 🏆

Throughout his career, Dr. Ye has received several accolades for his teaching and research achievements. These include the Outstanding Supervisor of Excellent Master’s Theses Award, Excellent Instructor Award at the National University Physics Experiment Competition, and recognition for his work in the Physics Innovation Contest. He has also been honored with the Advanced Worker of Science Popularization award by the Association of Science and Technology in Ganzhou City.

LEGACY AND FUTURE CONTRIBUTIONS  🔮

Dr. Ye’s legacy lies in his continuous pursuit of innovation and excellence in both teaching and research. His future contributions are expected to further advance technology in areas such as hyperspectral imaging, optoelectronic devices, and signal processing. With a strong foundation in both fundamental research and applied technology, Dr. Ye is poised to remain a key figure in the academic and research community for years to come.

FINAL NOTE ✨

Dr. Kuntao Ye’s work as a researcher and educator has left an indelible mark on the academic and professional world. His contributions to optics, MEMS technology, and signal processing have advanced the fields significantly. As an educator, he has shaped the minds of countless students, preparing them for careers in science and technology.

TOP NOTES PUBLICATIONS 📚

  • Multi-Scale Channel Distillation Network for Image Compressive Sensing

    • Authors: Tianyu Zhang, Kuntao Ye, Yue Zhang, Rui Lu
    • Journal: IEEE Access
    • Year: 2025

  • Differential Self-Feedback Dilated Convolution Network With Dual-Tree Channel Attention Mechanism for Hyperspectral Image Classification

    • Authors: Zhiqiang Xiao, Kuntao Ye, Guolong Cui
    • Journal: IEEE Transactions on Instrumentation and Measurement
    • Year: 2024

  • A Statistical Model-Based Approach for Reproducing Intermittent Faults in Electrical Connectors under Varying Vibration Loading Conditions

    • Authors: Xinglong Zhou, Kuntao Ye, Sheng Li, Songhua Liu
    • Journal: Journal of Circuits, Systems and Computers
    • Year: 2024

  • An Improved Beetle Swarm Antennae Search Algorithm Based on Multiple Operators

    • Authors: Kuntao Ye, Leilei Shu, Zhiqiang Xiao, Wen Li
    • Journal: Soft Computing
    • Year: 2024

 

Shanakar Raman Dhanushkodi | Green electrolysis | Best Researcher Award

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Assoc Prof Dr. Shanakar Raman Dhanushkodi | Green electrolysis | Best Researcher Award

VIT, Vellore | India

Publication Profile

Orcid

ASSOC PROF DR. SHANKAR RAMAN DHANUSHKODI – A LEGACY IN CLEAN ENERGY RESEARCH AND EDUCATION ⚡🌍

INTRODUCTION 🌟

Assoc Prof Dr. Shankar Raman Dhanushkodi is a distinguished academic and researcher currently serving as an Associate Professor at the Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India. With more than two decades of experience, he has made significant contributions to the field of clean energy, specifically in fuel cell technology, electrolyzers, and the application of machine learning in energy systems. Dr. Dhanushkodi’s journey is marked by a blend of research excellence, academic contributions, and industry collaboration that continues to shape the future of energy solutions.

EARLY ACADEMIC PURSUITS 🎓

Dr. Dhanushkodi’s academic journey began in India, where he completed his Bachelor’s in Chemical Engineering from Alagappa College of Technology, Anna University, Tamil Nadu. He further pursued his Master’s in Process Systems Engineering at the University of Regina, Canada, and his Doctor of Philosophy in Chemical Engineering at the University of Waterloo, Canada. His academic foundation laid the groundwork for his pioneering research in electrochemical systems and fuel cell technologies.

PROFESSIONAL ENDEAVORS 💼

Dr. Dhanushkodi has held numerous prestigious positions across various academic and research institutions. His professional journey spans across countries, including India, Canada, and Germany. As an Associate Professor at VIT, he leads cutting-edge research in hydrogen technologies, focusing on fuel cells and electrolyzers. Additionally, he has served as a research consultant, postdoctoral fellow, and even founded his consulting company, Gandhi Energy Storage Systems and Solutions.

CONTRIBUTIONS AND RESEARCH FOCUS ON Green electrolysis 🔬

Dr. Dhanushkodi’s research expertise covers a wide range of areas such as electro-catalysis, membrane testing, fuel cell components, and the development of AI algorithms for chemical systems. His work in clean energy technologies is critical in advancing the efficiency and sustainability of energy systems. As a leading researcher, he has collaborated on global projects involving fuel cells and electrolyzers, while also contributing significantly to the development of diagnostic tools for electrochemical systems.

IMPACT AND INFLUENCE 🌍

Through his research and teaching, Dr. Dhanushkodi has not only contributed to the academic community but also impacted the global energy industry. His research has influenced the design and performance of fuel cells, electrolyzers, and other energy storage systems, helping to accelerate the transition to clean and sustainable energy sources. His collaborations with international institutions and industries have further reinforced his impact.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

Dr. Dhanushkodi has authored over 15 publications in peer-reviewed journals, contributing to the advancement of knowledge in clean energy technologies and industrial ecology. His work is widely cited in the academic community, underlining the significance and relevance of his research. His focus on developing diagnostic tools for energy systems, particularly for PEM fuel cells and electrolyzers, continues to be a key area of innovation.

HONORS & AWARDS 🏆

Dr. Dhanushkodi’s excellence in research has been recognized through numerous awards and honors, including:

  • Raman Research Award for the paper in desalination and water treatment (2023)
  • Best Paper Award at the International Conference on Art, Education, and Business (2021)
  • Mrs. Chinnamaul Memorial Prize for the Best Technical Paper at CHEMCON (2021)
  • Outstanding Reviewer, Journal of Power Sources (2018)

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Dr. Dhanushkodi’s work is far from over. As he continues to mentor young engineers at VIT and collaborate on international research projects, his legacy will undoubtedly inspire future generations. His ongoing research in fuel cell technology, electrolyzers, and machine learning applications in chemical engineering promises to yield groundbreaking solutions to the world’s energy needs. The future of clean energy is brighter, thanks to his vision and dedication.

FINAL NOTE 📌

Dr. Shankar Raman Dhanushkodi is not just a researcher; he is a mentor and a leader in the field of clean energy. His commitment to advancing energy systems and empowering the next generation of engineers and researchers has left an indelible mark on academia and industry alike. His contributions continue to inspire a future where sustainable energy solutions play a pivotal role in addressing global energy challenges.

 TOP NOTES PUBLICATIONS 📚

Development of Deep Learning Simulation and Density Functional Theory Framework for Electrocatalyst Layers for PEM Electrolyzers
    • Authors: Jaydev Zaveri; Shankar Raman Dhanushkodi; Michael W. Fowler; Brant A. Peppley; Dawid Taler; Tomasz Sobota; Jan Taler
    • Journal: Energies
    • Year: 2025
Machine Learning Framework for the Methyl Chloride Production Process
    • Authors: School of Mechanical Engineering, Vellore Institute of Technology; R. Gollangi; K. NagamalleswaraRao; Dhanushkodi Research group, School of Chemical Engineering, Vellore Institute of Technology; S. R. Dhanushkodi; Dhanushkodi Research group, School of Chemical Engineering, Vellore Institute of Technology; N. Mahinpey; Department of Chemical and Petroleum Engineering, University of Calgary
    • Journal: Journal of Environmental Informatics Letters
    • Year: 2024
Development of Semi-Empirical and Machine Learning Models for Photoelectrochemical Cells
    • Authors: Niranjan Sunderraj; Shankar Raman Dhanushkodi; Ramesh Kumar Chidambaram; Bohdan Węglowski; Dorota Skrzyniowska; Mathias Schmid; Michael William Fowler
    • Journal: Energies
    • Year: 2024
Development of Semi Empirical and Machine Learning Models for Photo-Electrochemical Cells
    • Authors: Niranjan Sunderraj; S.R. Dhanushkodi; Ramesh Kumar Chidambaram; B. Węglowski; Dorota Skrzyniowska; Mathias Schmid; Michael William Fowler
    • Journal: Preprint
    • Year: 2024
Design and Manufacturing Challenges in PEMFC Flow Fields—A Review
    • Authors: Prithvi Raj Pedapati; Shankar Raman Dhanushkodi; Ramesh Kumar Chidambaram; Dawid Taler; Tomasz Sobota; Jan Taler
    • Journal: Energies
    • Year: 2024

 

Shubing Dai | Algorithm Development | Best Researcher Award

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Prof. Shubing Dai | Algorithm Development | Best Researcher Award

Prof. Shubing Dai at Northwest A&F University, China

Professional Profile👨‍🎓

👨‍🏫 Summary

Prof. Shubing Dai is an Associate Professor at Northwest A&F University, specializing in Hydraulic Engineering. With a background in Hydraulics and River Dynamics, he has published over 20 research papers and actively participated in over 20 research projects. His work primarily focuses on urban flood management, hydraulic structures, and water flow dynamics. He is also an active member of key professional organizations, including the China Society for Hydroelectric Engineering and the International Association for Hydro-Environment Engineering and Research (IAHR).

🎓 Education

Prof. Dai began his academic career at Northwest A&F University, where he earned his Bachelor’s (2008–2012) and Master’s (2012–2015) degrees in Hydraulic and Hydroelectric Engineering. He then pursued a Ph.D. in Hydraulics and River Dynamics at Dalian University of Technology (2016–2021). Additionally, he worked as a visiting scholar at the University of La Coruña in Spain (2024).

💼 Professional Experience

Prof. Dai has extensive professional experience, both in academia and industry. He currently serves as an Associate Professor at Northwest A&F University and the Department Secretary of the Hydraulic Engineering Department. He also previously worked as an Assistant Engineer at the Changjiang Survey, Planning, and Design Institute (2015–2016), contributing to several major hydropower and hydraulic engineering projects.

📚 Academic Contributions

Prof. Dai is an active contributor to the academic community, serving as a reviewer for several leading journals such as Journal of Hydrology and Physics of Fluids. He also serves as an editorial board member for an international journal. His research focuses on water resources, hydraulic structures, and flow dynamics, with over 20 published papers and several high-impact research projects.

🔧 Technical Skills

Prof. Dai has developed a range of technical skills, including:

  • Hydraulic Engineering: Focus on energy dissipation and optimization of flood discharge systems.
  • Urban Flooding & Drainage: Expertise in urban drainage system design, stormwater management, and flood mitigation.
  • Flow Dynamics: Proficient in Computational Fluid Dynamics (CFD) and non-steady flow simulations for hydraulic applications.
  • Hydropower Engineering: In-depth research on dam-break flood modeling, hydraulic structures, and their interactions with water flow.

👩‍🏫 Teaching Experience

As a dedicated educator, Prof. Dai mentors master’s students and teaches courses on fluid dynamics, hydraulic modeling, and water resource management. He is also responsible for the administration of the Water Resources and Hydroelectric Engineering department at Northwest A&F University, playing a key role in curriculum development and academic planning.

🔬 Research Interests

Prof. Dai’s research interests are focused on:

  • Hydraulic Engineering: Research on energy dissipation in hydraulic structures and optimization of flood discharge processes.
  • Flood Disaster Management: Urban flood management, drainage systems, and dam-break flood evolution.
  • Non-steady Flow & Hydrodynamics: Investigating the dynamics of free-surface flows, wave behavior, and non-constant flow conditions in hydraulic systems.

🔍 Research Projects

Prof. Dai leads and participates in several important research projects, such as:

  • City Flood and Drainage Systems Simulation (2022–2025)
  • Optimization of Urban Drainage Under Extreme Rainfall Conditions (2023–2025)
  • Dam-Break Flood Evolution and Structural Interaction Studies (2024–2026)
    He is also involved in national and regional projects on hydraulic structure optimization, flood forecasting, and water resource management.

 

📖Top Noted Publications

Numerical study of roll wave development for non-uniform initial conditions using steep slope shallow water equations

Authors: Dai, S., Liu, X., Zhang, K., Liu, H., Jin, S.
Journal: Physics of Fluids
Year: 2024

Discharge coefficients formulae of grate inlets of complicated conditions for urban floods simulation and urban drainage systems design

Authors: Dai, S., Hou, J., Jin, S., Hou, J., Liu, G.
Journal: Journal of Hydrology
Year: 2023

Land Degradation Caused by Construction Activity: Investigation, Cause and Control Measures

Authors: Dai, S., Ma, Y., Zhang, K.
Journal: International Journal of Environmental Research and Public Health
Year: 2022

Numerical investigations of unsteady critical flow conditions over an obstacle using three models

Authors: Dai, S., Jin, S.
Journal: Physics of Fluids
Year: 2022

Interception efficiency of grate inlets for sustainable urban drainage systems design under different road slopes and approaching discharges

Authors: Dai, S., Jin, S., Qian, C., Ma, Y., Liang, C.
Journal: Urban Water Journal
Year: 2021