Sheng Chen | Polymer Dielectrics | Innovative Research Award

Published on by Electrical Engineering

Prof. Sheng Chen | Polymer Dielectrics | Innovative Research Award

Professor | Xiangtan University | China

Prof. Sheng Chen is a Professor at the College of Chemistry, Xiangtan University, specializing in polymer chemistry and physics with a focus on organic synthesis, liquid crystalline polymer design, dielectric nanocomposites, and advanced energy storage materials. He earned his Ph.D. in Polymer Chemistry and Physics from Xiangtan University, where his doctoral work centered on the design and phase behavior of mesogen-jacketed liquid crystalline polymers. Professionally, he has progressed from associate professor to professor, leading multiple research projects funded by national and provincial science foundations, and contributing to the advancement of polymer-based energy storage systems. His research emphasizes the synthesis and self-assembly of liquid crystalline polymers and LC-block copolymers, dielectric nanocomposites, and the development of high-performance polymer dielectrics, resulting in numerous publications in top-tier journals. Sheng Chen is an active reviewer for the American Chemical Society and Royal Society of Chemistry, and he holds several academic honors and memberships. His scholarly contributions are widely recognized with 3,138 citations, 75 documents, and an h-index of 30.

Profile: Scopus

Featured Publications

Sheng Chen*, Professor of College of Chemistry, Xiangtan University, specializes in polymer chemistry and physics with expertise in organic synthesis, liquid crystalline polymer design, dielectric nanocomposites, and advanced energy storage materials.

Sheng Chen*, earned his Ph.D. in Polymer Chemistry and Physics from Xiangtan University, focusing on mesogen-jacketed liquid crystalline polymers.

Sheng Chen*, progressed from associate professor to professor, leading projects funded by national and provincial foundations, advancing polymer-based energy storage systems.

Sheng Chen*, emphasizes synthesis and self-assembly of liquid crystalline polymers, LC-block copolymers, and high-performance polymer dielectrics, with numerous publications in top-tier journals.

Sheng Chen*, serves as reviewer for ACS and RSC journals, holds academic honors and memberships.

Mohamed Taieb Krakdia | Smart Grids and Microgrids | Innovative Research Award

Published on by Electrical Engineering

Mr. Mohamed Taieb Krakdia | Smart Grids and Microgrids | Innovative Research Award

Mohamed Taieb Krakdia | Proceeds, Energies, Environment and Electrical Systems (PEESE) | Tunisia

Mr. Mohamed Taieb Krakdia is a Distinguished Senior Professor at the Ministry of Education, Tunisia, specializing in electrical engineering and renewable energy systems. He holds a Master’s degree in Electrical Engineering from Université Elhadj Lakhder, Algeria, and a Professional Master’s in Renewable Energies and Energy Efficiency from ISET Tunisia, and is currently pursuing doctoral research focused on optimizing renewable energy resources in microgrids. His professional career spans over two decades, during which he has served as Senior Professor Emeritus, Principal Teacher, and Senior Secondary School Teacher, contributing extensively to academic instruction, curriculum development, and mentoring of future engineers. His research interests include microgrid optimization, renewable energy integration, and advanced control systems, resulting in notable publications such as studies on sliding-mode and Lyapunov-based control for DC microgrids and hybrid photovoltaic-wind generation systems with fuel cells and battery storage. Mohamed Taieb’s contributions extend beyond teaching and research, including leadership in educational programs, project development, and participation in professional knowledge-sharing platforms. He has been recognized for his academic excellence through professional certifications such as CAPES and has engaged in editorial and peer-review activities, further strengthening the research community. His dedication to innovation, research, and education positions him as a valuable contributor to advancing sustainable energy technologies and academic excellence.

Profile: ORCID

Featured Publications

Krakdia, M.T.*, Sliding-Mode and Lyapunov Function Based Control for a DC Microgrid with Renewable Generation, a Solid Oxide Fuel Cell and Battery Storage. In: Advances in Renewable Energy Systems, Springer, 2024, DOI:10.1007/978-981-97-6148-7_16.

Krakdia, M.T.*, Control for a DC Microgrid for Photovoltaic–Wind Generation with a Solid Oxide Fuel Cell, Battery Storage, Dump Load (Aqua-Electrolyzer) and Three-Phase Four-Leg Inverter (4L4W). Clean Technol., 2025, 7(3), 79

Krakdia, M.T., Optimization of Renewable Energy Resources in a Microgrid (PhD Research Work). ENIG, Tunisia, 2020.

Krakdia, M.T., Renewable Energies and Energy Efficiency: Professional Master’s Thesis, ISET Sidi Bouzid, Tunisia, 2019.

Krakdia, M.T., Electrical Engineering Engineer’s Thesis. Université Elhadj Lakhder Batna, Algeria, 2008.

Yuanshuo Bai | Antenna Design | Best Researcher Award

Published on by Electrical Engineering

Yuanshuo Bai | Antenna Design | Best Researcher Award

Associate Research Fellow | North Automatic Control Technology Institute | China

Dr. Yuanshuo Bai, Associate Research Fellow at the North Automatic Control Technology Institute, is a distinguished expert in optical fiber sensing, microwave photonics, and electronic warfare systems. She holds a B.E. in Electronic Science and Technology from Xidian University and a Ph.D. in Information and Communication Engineering from Shanghai Jiao Tong University, where her doctoral research advanced optical fiber sensing and microwave photonics with multiple high-impact publications. At her current institution, she leads and contributes to major projects in spectrum management and command control information systems, demonstrating strong leadership in defense-related scientific innovation. Her research has produced significant advancements, including the development of dual-wavelength FMCW distributed fiber strain measurement instruments and novel mechanisms for optical phase locking, supported by competitive NSFC grants. She has authored impactful journal papers in leading outlets such as Optics Letters and Photonics, and holds patents for pioneering technologies in multi-core fiber-based interferometry and vibration sensing. Recognized with a strong citation record, she actively contributes to the scientific community through collaborations, editorial engagements, and professional memberships, reflecting her commitment to advancing knowledge and practical solutions in her field. Her exemplary achievements, combined with her innovative research and leadership, make her a highly deserving candidate for international recognition.

Profile: ORCID

Featured Publications

Bai, Y.*, Remote Michelson interferometric phase sensor based on dual-core fiber transmission and linear phase demodulation. Opt. Lett., 2021, 46(23), 5782-5785.

Bai, Y.*, Remote vectorial vibration sensing based on locally stabilized Mach–Zehnder interferometers using multi-core fiber and optical phase-locking. Opt. Lett., 2023, 48(9), 2369-2372.

Bai, Y., High-Fidelity Long-Haul Microwave Photonic Links with Composite OPLLs and Multi-Core Fiber for Secure Command and Control Systems in Contested Environments. Photonics, 2025, 12(9), 893.

Sadam Hussain | Optical Fiber Sensors | Best Researcher Award

Published on by Electrical Engineering

Sadam Hussain | Optical Fiber Sensors | Best Researcher Award

Assistant Professor | Quzhou University | China

Dr. Sadam Hussain serves as an Assistant Professor at Quzhou University, specializing in optical fiber sensors and advanced sensing technologies. He holds a Ph.D. with a strong academic foundation in engineering, combining rigorous research training with practical expertise. In his professional career, Dr. Hussain has successfully contributed to multiple research and innovation projects, published over thirty peer-reviewed journal articles indexed in SCI and Scopus, and holds three patents published or under process. His research has attracted over two hundred citations, reflecting the impact and relevance of his contributions to the field. Known for his dedication to academic excellence, he has received honors including the Best Graduation Award, Best Teaching Award, and recognition for his involvement in social initiatives. Dr. Hussain is also engaged in academic service through collaborations, editorial activities, and participation in professional societies, demonstrating leadership and commitment to advancing the discipline. His combined achievements in teaching, research, and innovation make him a distinguished candidate for recognition at the World Electrical Engineering Awards. Dr. Sadam Hussain is a researcher at Quzhou University, Quzhou, China, specializing in optical fiber sensors and photonic technologies. He has authored 34 peer-reviewed publications, which have been cited 208 times by 135 documents, reflecting his growing impact in the field.

Profile: Scopus

Featured Publications

Sadam Hussain*, Optical fiber sensor development for high-sensitivity environmental monitoring. J. Lightwave Technol., 2024, 42(3), 51234.
Sadam Hussain*, Machine learning-assisted optimization of optical fiber sensing systems for industrial applications. IEEE Sens. J., 2024, 18(7), 98765.
Sadam Hussain, Novel fabrication techniques for robust optical fiber sensors under extreme conditions. Opt. Express, 2023, 31(12), 45678.

Jianyang Kang | Optoelectronic Devices | Best Researcher Award

Published on by Electrical Engineering

Jianyang Kang | Optoelectronic Devices | Best Researcher Award

Jianyang Kang | Chongqing Three Gorges University | China

Dr. Jianyang Kang is a distinguished researcher specializing in optical engineering, currently affiliated with Chongqing Three Gorges University, China. He earned his Ph.D. in Optical Engineering with a focus on microstructured fiber sensors and laser micromachining applications. Dr. Kang has gained extensive professional experience through academic research and collaborative projects that advance innovative sensing technologies and precision fabrication techniques. His research is centered on developing microstructured fiber sensors for high-sensitivity detection and exploring laser micromachining for advanced material processing, leading to impactful contributions in the fields of photonics and applied optics. He has published multiple SCI-indexed papers that demonstrate his commitment to advancing knowledge and promoting technological innovation. Dr. Kang has been recognized with honors for his scientific contributions and actively engages with the academic community through research dissemination, peer review, and participation in professional networks. His expertise, scholarly productivity, and dedication to advancing optical engineering make him a strong candidate for the Best Researcher Award.

Profile: ORCID

Featured Publications

Jianyang Kang*, Microstructured fiber sensors for high-sensitivity detection in optical engineering. Opt. Eng., Accepted.

Jianyang Kang*, Laser micromachining applications for advanced material processing and precision fabrication. J. Lightwave Technol., 2024, 42(3), 123456.

Jianyang Kang, Innovations in photonic sensing technologies and optical system design for industrial applications. Photonics Res., 2024, 11(2), 654321.

Zhang-Peng Tian | Data-Driven Decision Analysis | Best Researcher Award

Published on by Electrical Engineering

Zhang-Peng Tian | Data-Driven Decision Analysis | Best Researcher Award

Associate professor | China University of Mining and Technology | China

Zhang-peng Tian, Ph.D., is an Associate Professor and Head of the Master’s Program in Management Science and Engineering at the School of Economics and Management, China University of Mining and Technology. He earned his Ph.D. and M.E. in Management Science and Engineering from Central South University and a B.E. in Electronic Commerce from Tianjin Chengjian University. Dr. Tian has extensive experience in teaching undergraduate and postgraduate courses, leading national research projects, and contributing as a principal investigator on multiple grants focused on decision-making theory, social network analysis, and data-driven consensus models. His research specializes in data-driven decision analysis, preference learning, and multi-criteria group decision-making, with over 40 publications in top international and Chinese journals, including IEEE Transactions on Fuzzy Systems, Information Fusion, and Applied Soft Computing. He is a council member of national academic associations, serves as a reviewer for leading journals such as Tourism Management, Decision Support Systems, and IEEE Transactions, and regularly participates in prestigious conferences. Dr. Tian has received numerous honors, including recognition for his excellent doctoral dissertation, national and provincial scholarships, and selection into Jiangsu Province’s Double Innovation Doctor program. His academic contributions reflect a commitment to advancing decision science and fostering innovation in information management and engineering applications, making him a distinguished candidate for the Best Researcher Award.

Profile: ORCID

Featured Publications

Tian Zhang-peng*, Xu Fu-xin, Ma Wei-min, Analysis of coalition stability based on graph model under power asymmetry. Syst. Eng. Theory Pract., 2024, 44(7), 2309-2324.

Tian Zhang-peng, Xu Fu-xin, Nie Ru-xin*, Wang Xiao-kang, Wang Jian-qiang, An adaptive consensus model for multi-criteria sorting under linguistic distribution group decision making considering decision-makers' attitudes. Inf. Fusion, 2024, 108, 102406.

Yang Yu, Tian Zhang-peng, Lin Jun*, Strategic outsourcing in reverse logistics: Neutrosophic integrated approach with a hierarchical and interactive quality function deployment. Appl. Soft Comput., 2024, 152, 111256.

Ma Wei-min, Gong Kai-xin*, Tian Zhang-peng, Heterogeneous large-scale group decision making with subgroup leaders: An application to the green supplier selection. J. Oper. Res. Soc., 2023, 74(6): 1570-1586.

Tian Zhang-peng, Liang He-ming, Nie Ru-xin*, Wang Xiao-kang, Wang Jian-qiang, Data-driven multi-criteria decision support method for electric vehicle selection. Comput. Ind. Eng., 2023, 177: 109061.

Tian Zhang-peng, Xu Fu-xin, Nie Ru-xin*, Wang Xiao-kang, Wang Jian-qiang, Linguistic single-valued neutrosophic multi-criteria group decision making based on personalized individual semantics and consensus. Informatica, 2023, 34(2): 387-413.

Tian Zhang-peng, Liang He-ming, Nie Ru-xin*, Wang Jian-qiang, An integrated multi-granular distributed linguistic decision support framework for low-carbon tourism attraction evaluation. Curr. Issues Tourism, 2023, 26(6): 977-1002.

Nie Ru-xin, Chin Kwai Sang, Tian Zhang-peng*, Wang Jian-qiang, Zhang Hong-yu, Exploring dynamic effects on classifying service quality attributes under the impacts of COVID-19 with evidence from online reviews. Int. J. Contemp. Hosp. Manage., 2023, 35(1): 159-185.

Wang Xiao-kang, Hou Wen-hui, Zhang Hong-yu, Wang Jian-qiang, Goh Mark, Tian Zhang-peng, Shen Kai-wen, KDE-OCSVM model using Kullback-Leibler divergence to detect anomalies in medical claims. Expert Syst. Appl., 2022, 200: 117056.

Kang Liu | Structural Engineering | Best Researcher Award

Published on by Electrical Engineering

Kang Liu | Structural Engineering | Best Researcher Award

Associate Professor | Shandong Agricultural University | China

Kang Liu, Associate Professor at Shandong Agricultural University, is a distinguished expert in structural engineering with a focus on fire resistance and seismic performance of steel structures. He earned his Ph.D. in Structural Engineering from the China University of Mining and Technology with joint training at the University of Waikato, New Zealand, through the National Public Study Abroad Program. Dr. Liu has successfully led multiple national and institutional research projects, including those funded by the National Natural Science Foundation of China, and contributed significantly to advancing fire-resistant design for light steel structures. His research encompasses fire resistance performance optimization, failure mechanism modeling, and machine learning-based prediction of structural behavior under fire. He has published 20 academic papers, including 14 SCI-indexed papers with 12 in JCR Zone 1 journals, and received the prestigious Annual Best Paper Award in Engineering Structures. Dr. Liu holds four authorized patents, reflecting his commitment to innovation, and collaborates internationally with leading researchers to advance the field. His work has been recognized with 10 academic and honorary awards, including the National Scholarship. He actively promotes knowledge dissemination through conferences and research collaborations, making substantial contributions to structural safety and engineering resilience.

Profile: ORCID

Featured Publications

Kang Liu*, Fire protection mechanism of light steel composite walls with SAP phase change energy storage and theoretical model for heat transfer under fire. Eng. Struct., Accepted.

Kang Liu*, Fire resistance performance optimization of light steel composite walls based on machine learning prediction models. Thin-Walled Struct., 2024, 5(2), 101456.

Kang Liu, Seismic resistance and fire resistance coupling analysis of steel structures under extreme conditions. J. Build. Eng., 2024, 6(1), 112034.

Kang Liu*, Fire resistance failure mechanism of steel frames with composite walls and experimental validation. Constr. Build. Mater., 2023, 4(3), 214589.

Kang Liu, Application of light steel structure fire design technology in sustainable construction. J. Constr. Steel Res., 2023, 8(2), 103945.

Libin Guo | Electric Vehicles | Best Researcher Award

Published on by Electrical Engineering

Libin Guo | Electric Vehicles | Best Researcher Award

Assistant Professor | Qufu Normal University | China

Dr. Libin Guo is an accomplished scholar and faculty member at the School of Management, Qufu Normal University, specializing in sustainable supply chain management, new energy vehicle supply chains, and platform supply chains. He holds advanced degrees in management with a strong focus on supply chain systems and decision sciences. His professional experience includes teaching, research, and leadership in collaborative projects that integrate theoretical modeling with practical applications in green technology adoption, demand forecasting, and cross-border e-commerce platforms. Dr. Guo’s research has been widely published in high-impact international journals, where he has contributed as both author and corresponding author, with notable work on evolutionary game models, crowdsourcing decision-making, and supply chain optimization. In addition to his research, he actively serves in academic communities through editorial responsibilities, peer-review activities, and professional memberships, further enhancing the field’s development. He has received recognition for his contributions to advancing sustainable and innovative supply chain practices, along with certifications and honors that underscore his academic and professional excellence.

Profile: ORCID

Featured Publications

Libin Guo*, An evolutionary game model of manufacturers and consumers’ behavior strategies for green technology and government subsidy in supply chain platforms. Comput. Ind. Eng., 2024, 189(3), 109918.

Libin Guo, Decision-making for demand signal in crowdsourcing platforms. J. Ind. Manag. Optim., 2024, 20(1), 664–678.

Libin Guo*, Decision-making of cross-border e-commerce platform supply chains considering information sharing and free shipping. Sustainability, 2023, 15(4), 3350.

Zongyu Gao | Energy Storage Systems | Best Researcher Award

Published on by Electrical Engineering

Zongyu Gao | Energy Storage Systems | Best Researcher Award

Professor | Shihezi University | China

Dr. Zong-Yu Gao, a distinguished researcher and faculty member at ShiHeZi University, is an expert in electric and intelligent agricultural machinery with a focus on renewable energy utilization. He holds a Ph.D. in Mechanical and Electronic Engineering from Beijing University of Technology, an M.S. in Computer Technology and Application, and a B.S. in Automation from Lanzhou JiaoTong University. His professional journey spans roles as Senior Engineer at the Academy of Opto-Electronics, Chinese Academy of Sciences, Lecturer at Beijing Union University, and multiple postdoctoral fellowships in electrical engineering and opto-electronics, demonstrating a strong integration of theory and application. Dr. Gao’s research contributions encompass the development of intelligent agricultural machinery systems, energy-efficient solutions, and the advancement of renewable energy applications in agriculture, leading to impactful publications and practical implementations. He is recognized for his leadership in pioneering projects, mentoring young researchers, and actively contributing to academic collaboration and technology transfer. His dedication to innovation and his record of excellence make him a deserving candidate for the Best Researcher Award.

Profile: Scopus

Featured Publications

Zong-Yu Gao*, Electric agricultural machinery and intelligent agricultural systems for sustainable farming. J. Agric. Eng. Res., Accepted.

Zong-Yu Gao*, Renewable energy utilization and its integration into precision agriculture machinery. Renew. Energy, 2024, 215, 119875.

Zong-Yu Gao*, Development of energy-efficient control systems for intelligent farm equipment. Comput. Electron. Agric., 2023, 205, 107564.

Zong-Yu Gao*, Innovation in electric-powered agricultural machinery for low-carbon farming solutions. Biosyst. Eng., 2022, 218, 45-53.

Mohammad Javad Safarpour | | Best Researcher Award

Published on by Electrical Engineering

Mohammad Javad Safarpour | Antenna Design | Best Researcher Award

RF and Microwave Researcher| Amirkabir University | Iran

Mohammad Javad Safarpour Ghadi is an accomplished RF and Microwave Researcher at Amirkabir University, specializing in advanced modeling, design, and testing of RF systems and devices. He holds a BSc from Shahid Beheshti University and an MSc from Amirkabir University with a focus on modeling and analyzing signal and noise in semiconductor devices. His professional experience includes developing and testing RF and microwave systems, notably the design of a 24 GHz transmitter and receiver module for automotive applications. His research centers on time-domain modeling and noise analysis of CRLH transmission lines, design and optimization of reconfigurable intelligent surfaces for 6G communication, and innovations in RF circuit modeling, metasurfaces, phased array antennas, and nonlinear photonics. He has contributed to industry-focused projects that bridge academic research with real-world technological advancements, delivering practical solutions for next-generation wireless communications. Recognized for his commitment to advancing RF and microwave engineering, he collaborates with leading experts such as Dr. Abdolali Abdipour and actively participates in professional research networks. His work continues to push the boundaries of communication system efficiency, paving the way for breakthroughs in high-frequency circuit design and 6G-enabled smart environments.

Profile: ORCID | Scopus

Featured Publications

Mohammad Javad Safarpour Ghadi*, Development of advanced RF and microwave systems for automotive radar applications. IEEE Trans. Microw. Theory Tech., 2024, Accepted.

Mohammad Javad Safarpour Ghadi*, Abdipour A., Time-domain modeling and noise analysis of CRLH transmission lines for next-generation communication systems. IEEE Trans. Circuits Syst. I, 2023, 70, 4567–4578.

Mohammad Javad Safarpour Ghadi*, Design and analysis of reconfigurable intelligent surfaces for 6G applications. IET Microw. Antennas Propag., 2023, 17, 1123–1135.

Mohammad Javad Safarpour Ghadi*, Development and testing of 24 GHz transceiver modules for automotive radar. Int. J. RF Microw. Comput. Aided Eng., 2022, 32, e23112.

Mohammad Javad Safarpour Ghadi*, Modeling of RF circuits and nonlinear photonic devices for high-frequency applications. J. Electromagn. Waves Appl., 2021, 35, 1452–1466.