Dr. Qiang Guo | Advanced Composites | Best Researcher Award

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Dr. Qiang Guo | Advanced Composites | Best Researcher Award

Dr. Qiang Guo | Western Superconducting Technologies Co., Ltd | China

Dr. Qiang Guo, Vice General Manager at Western Superconducting Technologies Co., Ltd., leading research, development, and production of advanced superconducting products with a focus on low-temperature and high-temperature superconducting materials. Key achievements include the development of NbTi superconducting wire and driving breakthroughs in critical temperature stability, magnetic field tolerance, and overall superconductor performance while reducing production costs. Research efforts include studying the properties and microstructure of NbTiTa superconducting wire, supporting industrial applications in MRI systems, particle accelerators, and other high-tech fields. Contributions encompass over 50 authorized invention patents, multiple peer-reviewed publications, industrial-scale production optimization generating annual output exceeding 1.5 billion RMB, and 1 citation by 1 document with an h-index of 1. Leadership in R&D, innovation in superconducting materials, and strategic implementation have established a strong global presence in the superconductivity market, demonstrating the transformative impact of advanced materials on technology and industry. The combination of scientific research, patent development, large-scale manufacturing, and recognized scholarly impact underscores a commitment to advancing superconducting technologies and expanding their applications worldwide.

Profiles: Scopus | Orcid

Featured Publications

  • Guo, Q. (2025). Study on high Jc and low loss experimental NbTi/Cu0.5Mn/Cu superconducting wires for accelerator magnet in WST. IEEE Transactions on Applied Superconductivity.

  • Guo, Q. (2025). Study on the heat treatment microstructure evolution of high field NbTi superconducting strand. IEEE Transactions on Applied Superconductivity.

  • Guo, Q. (2025). Study on the process of monolith NbTi wire with high N-value and high dimensional accuracy for NMR. IEEE Transactions on Applied Superconductivity.

  • Guo, Q. (2024). Influence of Hf addition on the superconducting properties of Nb3Sn. IEEE Transactions on Applied Superconductivity.

  • Guo, Q. (2024). Investigation on the recrystallization and Nb3Sn microstructure of Nb alloys with large deformation during heat treatment. IEEE Transactions on Applied Superconductivity.

  • Guo, Q. (2024). Study on high yield strength monolith NbTi superconducting wire for MRI magnets in WST. IEEE Transactions on Applied Superconductivity.

 

 

Mr. Usman Rilwan | Fluid Dynamics | Best Researcher Award

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Mr. Usman Rilwan | Fluid Dynamics | Best Researcher Award

Mr. Usman Rilwan | Ahmadu Bello University  | Nigeria

Mr. Usman Rilwan is a dedicated Nigerian scholar and researcher in the field of applied mathematics, mathematical modeling, and computational fluid dynamics. He is currently pursuing a PhD in Mathematics at Ahmadu Bello University, Zaria, where he also earned his MSc in Mathematics with distinction and a BSc in Mathematics with Second Class Upper Division. Additionally, he holds a National Diploma in Computer Science with First Class Honors from Kaduna Polytechnic. His work has been cited 19 times across 16 documents, with a total of 4 published documents and an h-index of 3. Mr. Rilwan’s professional journey includes significant roles such as Graduate Assistant at Kaduna Polytechnic and Tax Inspector II at the Kaduna State Internal Revenue Service, reflecting his strong academic foundation and practical experience. His earlier engagements at the Federal Radio Corporation of Nigeria and the National Bureau of Statistics enhanced his technical and analytical expertise. His research interests include electromagnetohydrodynamic flow, joule heating, viscous dissipation, and electroosmotic effects in porous microchannels, contributing to advancements in MEMS cooling and nanofluid flow systems. He has co-authored several peer-reviewed papers in prestigious international journals, including Heat Transfer and the Journal of Nanomaterials, Nanoengineering and Nanosystems. With a deep passion for innovation and academic excellence, Mr. Rilwan continues to advance research in mathematical modeling and its applications in science and engineering.

Profiles: Scopus | Google Scholar

Featured Publications

  • Rilwan, U. S., Oni, M. O., Jha, B. K., & Jibril, H. M. (2024). Analysis of Joule heating and viscous dissipation on electromagnetohydrodynamic flow with electroosmotic effect in a porous microchannel: A heat transfer miniature enhancement. Heat Transfer, 53(3), 989–1013.

  • Rilwan, U. S., Oni, M. O., Jibril, H. M., & Jha, B. K. (2023). Effects of joule heating and viscous dissipation on electromagneto-hydrodynamic flow in a microchannel with electroosmotic effect: Enhancement of MEMS cooling. Proceedings of the Institution of Mechanical Engineers, Part N: Journal of Nanomaterials, Nanoengineering and Nanosystems.

  • Oni, M. O., & Rilwan, U. S. (2023). Role of suction/injection on electromagnetohydrodynamics natural convection flow in a porous microchannel with electroosmotic effect. International Journal of Applied Mechanics and Engineering. Zielona Góra: Uniwersytet Zielonogórski.

  • Oni, M. O., & Rilwan, U. S. (2025). Interplay of steady/unsteady Jeffrey EMHD nanofluid flow formation in a vertical channel with induced magnetic field. Journal of the Korean Physical Society, 1–27.

  • Oni, M. O., & Rilwan, U. S. (2025). Coupled thermal and electrokinetic effects on natural convection in electromagnetohydrodynamic flow. Journal of Mathematics and Artificial Intelligence, 1(2), 91–115.

  • Oni, M. O., & Rilwan, U. S. (2023). Significance of heat source/sink on electromagnetohydrodynamics natural convection flow with electroosmotic effect. Unpublished manuscript.

 

Assist. Prof. Dr. K.Jayanthi | Nanotechnology Innovations | Best Researcher Award

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Assist. Prof. Dr. K.Jayanthi | Nanotechnology Innovations | Best Researcher Award

Assist. Prof. Dr. K.Jayanthi | Sri Sathya Sai University for Human Excellence | India

Dr. Jayanthi is a physicist specializing in the synthesis, characterization, and application of advanced functional materials. Her work focuses on luminescent, magnetic, and biocompatible nanoparticles for eco-friendly optoelectronic devices, tunable LEDs, DUV-C LEDs for water purification, spintronics, magnetic sensors, refrigeration, and biomedical applications. She is skilled in operating sophisticated analytical instruments, including X-Ray Photoelectron Spectroscopy (XPS), Vibrating Sample Magnetometer (VSM), Fluorescence Spectrometers, High-Resolution Transmission Electron Microscopy (HRTEM), X-Ray Diffractometer, and Field Emission Scanning Electron Microscopy (FE-SEM), as well as surface analysis software and data processing. Her research achievements include the development of Ce-doped YAlO nanoparticles exhibiting efficient luminescence for white LED applications and other optoelectronic devices. She has contributed to device design, experimental analysis, performance evaluation, troubleshooting, technology transfer, and industry collaboration. Internationally recognized, her work includes collaborations on magnetic nanoparticles and invited lectures at leading conferences in Germany and Singapore. Her research bridges fundamental material science and practical device applications, driving innovative, sustainable, and cost-effective solutions in optoelectronics, magnetics, and biocompatible materials.

Profile: Orcid

Featured Publications

  • Jayanthi, K., Rakshita, M., Kumar, P., Kaushik, P. V. N. M., Manorama, S. V., & Haranath, D. (2025). Decoding nickel ferrite magnetism at the nanoscale with AC-modulated magnetic force microscopy. Applied Physics A.

  • Anitha, N., Jayanthi, K., Rakshita, M., Sharma, A. A., Jayarambabu, N., Akshaykranth, A., Babu, K., Rao, T. V., Dinakar, D., & Haranath, D. (2023). Origin of the active luminescence from Sm3+-activated borate phosphors: A correlational study of trap states and decay kinetics. New Journal of Chemistry.

 

Ms. Haitong Yang | Renewable Energy | Women Researcher Award

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Ms. Haitong Yang | Renewable Energy | Women Researcher Award

Ms. Haitong Yang | China university of geosciences | China

Ms. Haitong Yang is a joint Ph.D. student at the China University of Geosciences (Beijing) specializing in Oil and Gas Engineering, with research focusing on advanced interpretation methods for production profiling based on microbial DNA sequencing. His academic background includes a Master’s degree in Oil and Gas Engineering from the China University of Petroleum (Beijing), where his work centered on production dynamic monitoring using microbial DNA sequencing, and a Bachelor’s degree in Oil and Gas Storage and Transportation Engineering from Northeast Petroleum University. Haitong has been recognized with multiple national and international awards, including the National Scholarship for Chinese Graduate Students, first prizes in the China Doctoral Academic Forum and the Asia Pacific Cup in Mathematical Modeling, as well as honors in innovation and entrepreneurship competitions. His technical expertise encompasses DNA extraction experiments, Mothur, CMG, Petrel, and MATLAB, applied to major projects in Shengli and Changqing Oilfields, where his work integrates microbial genomics with petroleum engineering to optimize reservoir evaluation, water flow path tracking, and fluid biomarker analysis. His contributions have resulted in 9 published documents, 51 citations by 47 documents, and an h-index of 3, reflecting his growing impact in the field of intelligent oil and gas engineering and reservoir characterization.

Profile: Scopus

Featured Publication

Yang, H., Kang, Z., Wang, S., & Jiang, H. (2025). DNA-sequencing method maps subsurface fluid flow paths for enhanced monitoring. Communications Earth and Environment.

 

Dr. Kun-Ying Li | Sustainable Engineering | Best Researcher Award

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Dr. Kun-Ying Li | Sustainable Engineering | Best Researcher Award

Dr. Kun-Ying Li | National Chin-Yi University of Technology | Taiwan

Dr. Kun-Ying Li is an accomplished researcher in sustainable engineering and intelligent manufacturing, focusing on low-carbon technologies and energy-efficient machine tools. His research encompasses ISO14064-1:2018 greenhouse gas inventory, industrial energy-saving methods, intelligent thermal error analysis, cooling optimization, multi-objective optimization, and precision machinery design. His work emphasizes the integration of reliability engineering, applied mathematics, smart manufacturing systems, and computer-assisted engineering within the framework of Industry 4.0. He has contributed to several industry-academic collaboration projects aimed at optimizing cooling systems for multi-axis machine tools and implementing carbon inventory strategies in manufacturing transformation programs. These projects have involved partnerships with precision machinery and metal manufacturing companies, supported by national funding agencies. His expertise extends to developing innovative approaches for reducing energy consumption, enhancing process reliability, and improving the performance of advanced machine tools. Through a combination of technical insight and practical application, his research supports the transition toward intelligent, sustainable, and high-efficiency production systems that align with global goals for carbon reduction and green industry innovation. He has 220 citations by 151 documents, 29 published documents, and an h-index of 9, reflecting his consistent research contributions and growing academic influence in the fields of precision engineering and green manufacturing.

Profiles: Scopus | Google Scholar | ORCID

Featured Publications

  • Liu, Y. C., Li, K. Y., & Tsai, Y. C. (2021). Spindle thermal error prediction based on LSTM deep learning for a CNC machine tool. Applied Sciences, 11(12), 5444.

  • Li, K. Y., Luo, W. J., & Wei, S. J. (2020). Machining accuracy enhancement of a machine tool by a cooling channel design for a built-in spindle. Applied Sciences, 10(11), 3991.

  • Hsieh, M. C., Maurya, S. N., Luo, W. J., Li, K. Y., Hao, L., & Bhuyar, P. (2022). Coolant volume prediction for spindle cooler with adaptive neuro-fuzzy inference system control method. Sensors & Materials, 34, 28.

  • Li, K. Y., Luo, W. J., Hong, X. H., Wei, S. J., & Tsai, P. H. (2020). Enhancement of machining accuracy utilizing varied cooling oil volume for machine tool spindle. IEEE Access, 8, 28988–29003.

  • Li, K. Y., Maurya, S. N., Lee, Y. H., Luo, W. J., Chen, C. N., & Wellid, I. (2023). Thermal deformation and economic analysis of a multi-object cooling system for spindles with varied coolant volume control. The International Journal of Advanced Manufacturing Technology, 126(3), 1807–1821.

  • Maurya, S. N., Li, K. Y., Luo, W. J., & Kao, S. Y. (2022). Effect of coolant temperature on the thermal compensation of a machine tool. Machines, 10(12), 1201.

 

Dr. Nisha Dagade | Renewable Energy | Best Researcher Award

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Dr. Nisha Dagade | Renewable Energy | Best Researcher Award

Dr. Nisha Dagade | Sinhgad Institutes | India

Dr. Nisha R. Dagade  is an accomplished Assistant Professor at Sinhgad Institutes, Pune, India, specializing in electrical power systems with a particular focus on Distributed Generation  and Reliability Analysis. Her research emphasizes the optimal integration of renewable DG sources into modern distribution networks, addressing both technical and economic challenges through heuristic and metaheuristic optimization approaches such as Ant Colony Optimization (ACO). Dr. Dagade’s scholarly contributions explore multi-objective frameworks that aim to reduce power losses, improve voltage profiles, and enhance the overall reliability and cost-effectiveness of distribution systems. Her notable work, “Ant colony optimization technique for integrating renewable DG in distribution system with techno-economic objectives,” published in Evolving Systems (2022), has gained significant academic recognition. With a strong research portfolio comprising 10 completed and ongoing projects, 7 Scopus-indexed journal publications, and one published book, and maintains an active research profile with 61 citations, an h-index of 5, and an i10-index of 2 , she continues to advance innovation in the domain of sustainable power systems. She has also collaborated with IIT Bombay on research initiatives that bridge academic insights with real-world applications. Her professional memberships in IAENG and I2OR reflect her active engagement in the global engineering research community. Dr. Dagade’s work embodies the integration of renewable energy technologies for efficient, reliable, and environmentally responsible power system development.

Profile: Google Scholar

Featured Publications

  • Godha, N. R., Bapat, V. N., & Korachagaon, I. (2022). Ant colony optimization technique for integrating renewable DG in distribution system with techno-economic objectives. Evolving Systems, 13(3), 485–498.

  • Godha, N. R., Deshmukh, S. R., & Dagade, R. V. (2011). Application of Monte Carlo simulation for reliability cost/worth analysis of distribution system. In 2011 International Conference on Power and Energy Systems (pp. 1–6).

  • Godha, N. R., Deshmukh, S. R., & Dagade, R. V. (2012). Time sequential Monte Carlo simulation for evaluation of reliability indices of power distribution system. In Proceedings of the 2012 IEEE Symposium on Computers and Informatics (ISCI 2012).

  • Godha, N. R., Bapat, V. N., & Korachagaon, I. (2019). Placement of distributed generation in distribution networks: A survey on different heuristic methods. In Techno-Societal 2018: Proceedings of the 2nd International Conference on Techno-Societal.

  • Dagade, N. R. G., Bapat, V. N., & Korachagaon, I. (2020). Improved ACO for planning and performance analysis of multiple distributed generations in distribution system for various load models. In 2020 Second International Sustainability and Resilience Conference.

 

 

Assist. Prof. Dr. Mostafa Wageh lotfy Mohamed | Renewable Energy | Best Researcher Award

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Assist. Prof. Dr. Mostafa Wageh lotfy Mohamed | Renewable Energy | Best Researcher Award

Assist. Prof. Dr. Mostafa Wageh lotfy Mohamed | Beni-Suef University | Egypt

Dr. Mostafa Wageh Lotfy Mohamed is an Assistant Professor in the Department of Process Control Technology at the Faculty of Technology and Education, Beni-Suef University, Egypt. He earned his PhD in Electrical Power and Machines from Beni-Suef University, where his doctoral research focused on the control of Split-Source Inverters for renewable energy applications. His academic foundation also includes an M.Sc. degree on the performance analysis of high-gain DC-DC converters for distributed generation systems, and a B.Sc. in Automatic Control with an excellent grade. Dr. Mohamed has extensive expertise in power electronics, control systems, and renewable energy technologies, particularly in DC/DC and DC/AC converters, transformer-less Split-Source Inverters, and intelligent control strategies for energy systems. He has successfully led multiple funded research projects, including the design and implementation of three-phase Split-Source Inverters for renewable energy applications and an innovative 3D-printed small wind turbine for low-speed regions. His scholarly impact is reflected in 75 citations , an h-index of 5, and an i10-index of 4. Through his research and innovation, Dr. Mohamed continues to contribute to advancing renewable energy integration, sustainable system design, and technological progress in Egypt and globally.

Profile: Google Scholar

Featured Publications

  1. Lotfy, M. W., Dabour, S. M., Mostafa, R. M., Almakhles, D. J., & Elmorshedy, M. F. (2023). Modeling and control of a voltage-lift cell split-source inverter with MPPT for photovoltaic systems. IEEE Access.

  2. Shehata, E. G., Thomas, J., Brisha, A. M., & Wageh, M. (2017). Design and analysis of a quasi Y-source impedance network DC–DC converter. Proceedings of the 2017 Nineteenth International Middle East Power Systems Conference (MEPCON), 1-6. IEEE.

  3. Wageh, M., Dabour, S. M., & Mostafa, R. M. (2021). A high gain split-source inverter with reduced input current ripple. Proceedings of the 2021 22nd International Middle East Power Systems Conference (MEPCON), 383-388. IEEE.

  4. Wageh, M., Dabour, S. M., Mostafa, R. M., & Ghalib, M. A. (2021). Space vector PWM of three-phase inverter with MPPT for photovoltaic system. Australian Journal of Electrical and Electronics Engineering, 18(4), 310-318.

  5. Wageh, M., Dabour, S. M., & Mostafa, R. M. (2022). A new four-switch split-source boosting inverter: Analysis and modulation. Proceedings of the 2022 23rd International Middle East Power Systems Conference (MEPCON), 1-7. IEEE.

  6. Ali, M. M., Elmorshedy, M. F., Gabr, M. A., Ramadan, H. S., & Lotfy, M. W. (2023). An enhanced finite-set model predictive control based super twisting sliding mode speed controller for linear metro applications. Proceedings of the 2023 24th International Middle East Power System Conference (MEPCON), 1-6. IEEE.

 

 

Dr. Yuanyuan Ren | Biomechanics Research | Best Researcher Award

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Dr. Yuanyuan Ren | Biomechanics Research | Best Researcher Award

Dr. Yuanyuan Ren | Suzhou City University | China

Dr. Yuanyuan Ren is a researcher specializing in human movement science and sports biomechanics. Her academic focus lies in understanding the mechanical and physiological principles of human motion, aiming to improve athletic performance and reduce injury risks through scientific analysis. She has produced 11 research documents that contribute valuable insights into motion mechanics, biomechanical modeling, and sports performance optimization. Her work has been cited 164 times by 160 documents, with an h-index of 7, demonstrating significant academic influence and consistent research quality. Ren’s research integrates modern technologies such as motion capture and biomechanical simulation tools to analyze body dynamics, joint function, and muscle performance under various conditions. She actively explores how biomechanical principles can be applied to enhance physical training strategies, rehabilitation programs, and athletic techniques. By combining analytical precision with a deep understanding of sports science, her contributions support the development of innovative methods for improving human motion efficiency and overall physical capability. Her studies represent a growing body of work that bridges theoretical biomechanics with practical applications in sports and health sciences, positioning her among the emerging researchers driving forward advancements in human movement research.

Profile: Scopus

Featured Publication

Ren, Y. (2025). Lower-extremity muscle strength symmetry assessment through isokinetic dynamometry. Life, 2025(Article), Open access.

Prof. Dr. Jose Manuel Andujar Marquez | Renewable Energy | Hydrogen Energy Award

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Prof. Dr. Jose Manuel Andujar Marquez | Renewable Energy | Hydrogen Energy Award

Prof. Dr. Jose Manuel Andujar Marquez | University of Huelva | Spain

Prof. Dr. Jose Manuel Andujar Marquez is a Full Professor at the University of Huelva in Spain with expertise in control engineering, renewable energies, hydrogen technologies, energy rehabilitation, engineering education, and precision farming. He holds a PhD in Engineering from the University of Huelva, a degree in Physical Sciences from UNED, and an Industrial Technical Engineering degree from the University of Seville. Over his career, he has authored more than five hundred fifty publications including journal articles, books, book chapters, conference papers, and patents, with over one hundred seventy articles indexed in ISI JCR journals and more than ninety in Q1 journals. Notably, fifty-four of his articles appear in the top ten journals in their category, several ranking first. His work has significant international impact, reflected in an h index of forty or more on Scopus, forty-six or more on ResearchGate, and fifty-two or more on Google Scholar, with over ten thousand citations in major databases and more than two hundred fifty thousand reads on ResearchGate. His research contributions span intelligent control systems, renewable energy integration, sustainable engineering technologies, and precision farming, demonstrating a strong commitment to innovation and advancing engineering solutions for global challenges. His publications have influenced both academic research and practical applications in energy efficiency, smart systems, and sustainable technology development.

Profile: Scopus | Google Scholar | Orcid

Featured Publications

Andújar, J. M., & Segura, F. (2009). Fuel cells: History and updating. A walk along two centuries. Renewable and Sustainable Energy Reviews, 13(9), 2309-2322.

Andújar, J. M., Mejías, A., & Márquez, M. A. (2010). Augmented reality for the improvement of remote laboratories: An augmented remote laboratory. IEEE Transactions on Education, 54(3), 492-500.

Enrique, J. M., Durán, E., Sidrach-de-Cardona, M., & Andújar, J. M. (2007). Theoretical assessment of the maximum power point tracking efficiency of photovoltaic facilities with different converter topologies. Solar Energy, 81(1), 31-38.

Vivas, F. J., De las Heras, A., Segura, F., & Andújar, J. M. (2018). A review of energy management strategies for renewable hybrid energy systems with hydrogen backup. Renewable and Sustainable Energy Reviews, 82, 126-155.

Enrique, J. M., Andújar, J. M., & Bohorquez, M. A. (2010). A reliable, fast and low cost maximum power point tracker for photovoltaic applications. Solar Energy, 84(1), 79-89.

Sánchez Cordero, A., Gómez Melgar, S., & Andújar Márquez, J. M. (2019). Green building rating systems and the new framework Level(s): A critical review of sustainability certification within Europe. Energies, 13(66), 1-26.

Durán, E., Piliougine, M., Sidrach-de-Cardona, M., Galán, J., & Andújar, J. M. (2008). Different methods to obtain the I–V curve of PV modules: A review. In 2008 33rd IEEE Photovoltaic Specialists Conference (pp. 1-6).

Mr. Tianyu Liu | Control Systems Engineering | Best Research Article Award

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Mr. Tianyu Liu | Control Systems Engineering | Best Research Article Award

Mr. Tianyu Liu | XJ Electric Corporation | China

Mr. Tianyu Liu is a skilled product designer at XJ Electric Co., LTD., Xu Chang, China, recognized for his innovative contributions to power electronics and control systems. His research focuses on optimizing dc-dc converters, with a particular emphasis on enhancing the performance and efficiency of resonant converter systems. In his publication titled “Optimizing triple phase-shift modulation for CLLLC resonant converters” in the Journal of Power Electronics, he addresses key challenges such as insufficient low-voltage gain range and the difficulty of achieving wide-range zero-voltage soft switching (ZVS) under traditional modulation schemes. His study proposes an optimized triple phase-shift modulation strategy that effectively analyzes the impact of three phase angles on voltage gain and resonant current RMS, enabling better control and reduced losses. The proposed method, verified through a 1 kW prototype using a multiple-harmonic impedance model, demonstrates superior efficiency and a significantly expanded gain range. Beyond academic research, Tianyu has also applied his expertise in practical engineering through industry projects such as the design of Vehicle-to-Grid (V2G) smart charging piles and rectifier control systems for electric vehicle charging stations, contributing to the advancement of modern power conversion and sustainable energy technologies.

Profile: Orcid

Featured Publication

Hu, Z., & Liu, T. (2025, May 11). Optimizing triple phase-shift modulation for CLLLC resonant converters. Journal of Power Electronics.