Tianyu Sun | Engineering | Best Paper Award

Published on by Best Paper Awards

Best Paper Award

Tianyu Sun
Xi’an Technological University
China

Tianyu Sun
Affiliation Xi’an Technological University
Country China
Scopus ID 58571661300
Documents 9
Citations 30
h-index 3
Subject Area Engineering
Event Best Paper Awards
Paper Title Inverter Open Circuit Fault Diagnosis Method Based on Residual Evaluation and Machine Learning

Tianyu Sun is recognized for the research contribution entitled “Inverter Open Circuit Fault Diagnosis Method Based on Residual Evaluation and Machine Learning”. The work represents an engineering-focused investigation into diagnostic methodologies using residual analysis and machine learning techniques for inverter fault identification. [1]

Abstract

This article presents the academic recognition of Tianyu Sun through the Best Paper Award for research on inverter open circuit fault diagnosis using residual evaluation and machine learning. The study focuses on improving fault identification accuracy and supporting reliable power electronic system operation. By combining analytical evaluation methods with intelligent computational approaches, the research contributes to engineering applications involving inverter monitoring, reliability enhancement, and predictive maintenance. The award highlights the relevance of this contribution within engineering research communities and acknowledges methodological development supported by systematic investigation, experimental analysis, and scholarly communication practices. [2]

Keywords

Inverter diagnosis, machine learning, residual evaluation, power electronics, fault detection, engineering research, predictive maintenance, intelligent systems.

Introduction

Power electronic converters require effective diagnostic methods to maintain operational stability and efficiency. Research on inverter fault detection has increasingly incorporated machine learning methods because of their ability to process complex signals and identify abnormal operating conditions. [3]

Research Profile

Tianyu Sun is affiliated with Xi’an Technological University and conducts research in the engineering domain. The academic profile indicates contributions in areas related to electrical systems, diagnostic technologies, and intelligent analysis approaches, supported by indexed research outputs and citation records. [1]

Research Contributions

The recognized paper develops an inverter open circuit fault diagnosis method based on residual evaluation and machine learning. The contribution combines signal-based assessment with computational classification techniques to improve fault recognition processes in modern power electronic applications. [2]

  • Development of diagnostic approaches for inverter fault identification.
  • Application of machine learning techniques in engineering analysis.
  • Integration of residual evaluation methods for system monitoring.

Publications

The researcher has produced nine indexed documents with thirty citations and an h-index of three according to available academic indexing information. These publications reflect ongoing engagement with engineering research topics and demonstrate participation in scholarly communication through peer-reviewed scientific outputs. [1]

Research Impact

The research contributes to the broader field of engineering by addressing challenges associated with inverter reliability and automated fault diagnosis. Its methods may support future developments in intelligent monitoring systems, industrial applications, and improved operational decision-making. [3]

Award Suitability

The Best Paper Award recognition is associated with the originality, technical relevance, and practical importance of the presented research. The work demonstrates a structured approach to solving engineering problems through analytical evaluation and machine learning methodologies. [2]

Conclusion

Tianyu Sun’s awarded research represents a contribution to inverter fault diagnosis and intelligent engineering analysis. Through the integration of residual evaluation and machine learning, the study provides a relevant example of contemporary approaches for improving reliability in power electronic systems.

References

  1. Elsevier. (n.d.). Scopus author details: Tianyu Sun, Author ID 58571661300. Scopus.
    https://www.scopus.com/pages/authors/60146797200

Hongchen Liu | Engineering | Best Paper Award

Published on by Best Paper Awards

Best Paper Award

Researcher: Hongchen Liu
Institution: Harbin Institute of Technology

Hongchen Liu
Affiliation Harbin Institute of Technology
Country China
Scopus ID 60146797200
Paper Title A Novel Three-Phase Passive Auxiliary Resonant Pole Soft-Switching Inverter With Symmetrical Auxiliary Networks and Electric Energy Feedback Function
Documents 9
Citations 62
h-index 3
Subject Area Engineering
Event Best Paper Awards

This article presents an academic overview recognizing Hongchen Liu for research associated with the paper A Novel Three-Phase Passive Auxiliary Resonant Pole Soft-Switching Inverter With Symmetrical Auxiliary Networks and Electric Energy Feedback Function. The profile summarizes scholarly contributions, publication impact, research significance, and award suitability using publicly available bibliographic indicators and standard academic references.[1]

Abstract

Hongchen Liu has contributed to engineering research through investigations into power electronic converter technologies emphasizing efficient inverter operation and soft-switching techniques. The featured publication introduces a three-phase passive auxiliary resonant pole soft-switching inverter incorporating symmetrical auxiliary networks and electric energy feedback functionality. This design aims to improve switching efficiency, reduce power losses, minimize electromagnetic interference, and enhance overall converter performance. Scholarly indicators including Scopus-indexed publications, citation activity, and research influence demonstrate measurable academic visibility. Collectively, these achievements provide a meaningful basis for evaluating the research within the context of Best Paper Awards recognition.[1][2]

Keywords

Soft-switching inverter, power electronics, resonant converter, auxiliary network, energy feedback, engineering, Scopus, Best Paper Award.

Introduction

Modern power electronics continually seek higher efficiency and improved reliability. Research on resonant soft-switching technologies addresses switching losses while supporting stable converter operation. Hongchen Liu’s publication contributes to this field by proposing a practical inverter architecture suitable for engineering applications and academic investigation.[2]

Research Profile

Affiliated with Harbin Institute of Technology, Hongchen Liu has published research indexed by Scopus within engineering disciplines. Available bibliometric indicators include nine indexed documents, sixty-two citations, and an h-index of three, reflecting recognized scholarly activity in power electronics research.[1]

Research Contributions

The featured research presents symmetrical auxiliary resonant networks combined with electric energy feedback mechanisms for three-phase inverter systems. These engineering concepts aim to reduce switching stress, improve efficiency, and support practical converter implementation through carefully designed passive circuit configurations.[2]

Publications

The highlighted publication, titled A Novel Three-Phase Passive Auxiliary Resonant Pole Soft-Switching Inverter With Symmetrical Auxiliary Networks and Electric Energy Feedback Function, represents a notable contribution within Hongchen Liu’s indexed engineering publications and demonstrates continued engagement with advanced power conversion technologies.[2]

Research Impact

Citation activity indicates that the research has received scholarly attention within engineering literature. The publication contributes to discussions surrounding efficient inverter topologies, offering reference material for subsequent investigations into converter optimization, soft-switching strategies, and practical electrical energy conversion systems.[1]

Award Suitability

The publication demonstrates technical originality through innovative inverter architecture emphasizing efficiency and operational performance. Considering its engineering relevance, measurable scholarly impact, and contribution to power electronics research, the work represents an appropriate candidate for consideration within Best Paper Awards evaluation processes.[2]

Conclusion

Hongchen Liu’s published engineering research contributes to the advancement of soft-switching inverter technologies through practical circuit innovations and measurable academic influence. Bibliographic evidence and citation performance support recognition of the featured publication as a meaningful contribution within contemporary power electronics scholarship.[1]

References

    1. Elsevier. (n.d.). Scopus author details: Hongchen Liu, Author ID 60146797200. Scopus.
      https://www.scopus.com/pages/authors/60146797200

Xiaomin Zhao | Engineering | Best Researcher Award

Published on by Best Paper Awards

Best Researcher Award

Xiaomin Zhao — Hefei University of Technology

Xiaomin Zhao
Affiliation Hefei University of Technology
Country China
Documents 13
Subject Area Engineering
Event Best Paper Awards
ORCID 0000-0002-7300-5457

Xiaomin Zhao is an engineering researcher affiliated with Hefei University of Technology, recognized for contributions to applied engineering research. The Best Paper Award acknowledges scholarly impact and research quality demonstrated through published work. This page provides a structured academic overview of Zhao’s research profile, contributions, and recognition within the engineering domain.[1]

Abstract

This article presents a comprehensive overview of Xiaomin Zhao’s academic contributions within the field of engineering, focusing on research productivity, scholarly impact, and recognition through the Best Paper Award. The study highlights publication outputs, thematic research directions, and measurable indicators such as document count and citation performance. Emphasis is placed on methodological rigor, innovation, and relevance to contemporary engineering challenges. By synthesizing available academic data and scholarly records, this profile illustrates Zhao’s role in advancing engineering research and contributing to scientific discourse, offering insights into the broader implications of award-based academic recognition in global research ecosystems.[1]

Keywords

Engineering research, Best Paper Award, academic recognition, research productivity, scholarly impact, Hefei University of Technology, innovation, applied engineering.

Introduction

Engineering research continues to shape technological progress and industrial development. Xiaomin Zhao’s work contributes to this domain through focused academic outputs. Recognition through the Best Paper Award reflects scholarly merit and research quality within competitive academic environments, highlighting the importance of impactful research dissemination.

Research Profile

Xiaomin Zhao is affiliated with Hefei University of Technology in China, specializing in engineering research. With a documented portfolio of thirteen publications, the researcher demonstrates consistent academic engagement. The profile reflects contributions across engineering subfields, emphasizing methodological application and interdisciplinary collaboration.

Research Contributions

The research contributions of Xiaomin Zhao include applied engineering studies addressing practical challenges. Work focuses on advancing technical methodologies, improving system performance, and contributing to theoretical understanding. Publications demonstrate integration of analytical techniques with real-world applications, supporting innovation in engineering practices.

Publications

The publication record includes thirteen academic documents indexed within scholarly databases. These works encompass journal articles and conference papers. The research outputs reflect engagement with engineering challenges and contribute to ongoing scientific discussions, supporting knowledge advancement and academic collaboration.

Research Impact

Research impact is evaluated through publication metrics and scholarly visibility. Zhao’s work contributes to engineering knowledge dissemination and supports innovation. The presence in indexed databases enhances accessibility and citation potential, reinforcing academic influence within the global research community.

Award Suitability

Eligibility for the Best Paper Award is determined by originality, research depth, and contribution to the field. Xiaomin Zhao’s work aligns with these criteria through structured methodologies and impactful findings. The award recognition underscores the academic merit and relevance of the research contributions.[3]

Conclusion

This profile summarizes Xiaomin Zhao’s academic contributions and recognition within engineering research. The Best Paper Award highlights scholarly excellence and research quality. Continued academic engagement is expected to further strengthen contributions and expand impact within the global engineering community.[3]

References

  1. Best Paper Awards. (n.d.). Award criteria and evaluation standards.
    https://bestpaperawards.com/

  2. State-of-Charge Estimation by Backstepping Observer Based on Voltage–Current Dynamics Model for Lithium-Ion Battery.
    https://www.researchgate.net/publication/405905511_State-of-charge_estimation_by_backstepping_observer_based_on_voltage-current_dynamics_model_for_lithium-ion_battery

  3. SGTP: A Safety-Guaranteed Trajectory Planning Algorithm for Autonomous Vehicles Using Gap-Oriented Spatio-Temporal Corridor.
    https://www.researchgate.net/publication/397820803_SGTP_A_Safety-Guaranteed_Trajectory_Planning_Algorithm_for_Autonomous_Vehicles_Using_Gap-Oriented_Spatio-Temporal_Corridor

  4. A Fuzzy-Theoretic Cooperative Game Framework for Adaptive Robust Control of Air–Ground Vehicle Systems.
    https://oipub.com/papers/400465355

Yordanis Alonso-Roque | Engineering | Best Paper Award

Published on by Best Paper Awards

Best Paper Award

Broadband Two-Port Rectangular Patch Radiating Element Based on a Self-Complementary Structure

Yordanis Alonso-Roque
Affiliation Research Institute of Oceanic Engineering
Country Spain
Article Title Broadband Two-Port Rectangular Patch Radiating Element Based on a Self-Complementary Structure
Documents 11
Citations 1
Subject Area Engineering
Award Category Best Paper Award
Event International Research Excellence and Best Paper Awards
ORCID 0000-0002-0649-7455

The Best Paper Award recognizes the scholarly contribution of Yordanis Alonso-Roque from the Research Institute of Oceanic Engineering for the publication entitled Broadband Two-Port Rectangular Patch Radiating Element Based on a Self-Complementary Structure. The publication contributes to the advancement of engineering research by exploring broadband antenna design using self-complementary structures. Through innovative electromagnetic design principles and practical engineering methodologies, the study supports the development of efficient radiating elements suitable for modern wireless communication systems and related applications.

Abstract

This award-recognized publication presents research on a broadband two-port rectangular patch radiating element developed using a self-complementary structure. The study investigates antenna design strategies intended to achieve wide operational bandwidth while maintaining desirable radiation characteristics. The proposed approach contributes to antenna engineering by demonstrating design concepts that may enhance the performance of broadband wireless communication systems.

Keywords

Broadband Antenna; Patch Antenna; Self-Complementary Structure; Electromagnetic Engineering; Wireless Communications; Radiating Element; Microwave Engineering; RF Design.

Introduction

Broadband antennas play a critical role in modern wireless communication technologies, radar systems, and advanced sensing applications. Researchers continue to investigate innovative antenna geometries capable of improving bandwidth, radiation efficiency, and integration into compact communication platforms. Self-complementary antenna structures have attracted considerable interest because of their theoretical broadband characteristics and practical engineering advantages.

Research Profile

The research was conducted at the Research Institute of Oceanic Engineering, Spain. The institute supports multidisciplinary engineering research with emphasis on innovative technologies, applied electromagnetic systems, and advanced engineering solutions that contribute to scientific and industrial development.

Scientific Background

Recent advances in wireless communications require antenna systems capable of operating efficiently over increasingly wider frequency ranges. Broadband antenna architectures improve communication reliability while reducing system complexity. Self-complementary geometries provide an important theoretical framework for developing broadband radiating structures suitable for next-generation engineering applications.

Methodology

The publication investigates a broadband rectangular patch radiating element incorporating a self-complementary configuration. Electromagnetic analysis, antenna design principles, and engineering evaluation methods were employed to examine the broadband characteristics and operational performance of the proposed radiating structure.

Key Findings

The study demonstrates the feasibility of applying self-complementary design concepts to broadband rectangular patch radiating elements. The proposed design contributes to broadband antenna engineering by providing a practical approach for achieving improved operational bandwidth while maintaining effective radiation performance for engineering applications.

Scientific Contributions

This publication contributes to engineering research by advancing broadband antenna design methodologies. The proposed radiating element expands knowledge in electromagnetic engineering and supports continued innovation in wireless communication technologies, RF systems, and modern antenna development.

Conclusion

The award-winning publication represents a valuable contribution to antenna engineering by investigating a broadband two-port rectangular patch radiating element based on a self-complementary structure. The research supports ongoing advances in broadband communication technologies and demonstrates the importance of innovative electromagnetic design in modern engineering applications.

References

  1. ORCID. Yordanis Alonso-Roque
    . https://orcid.org/0000-0002-0649-7455
  2. International Research Excellence and Best Paper Awards.
    https://bestpaperawards.com/

  3. Hexagonal Patch Antenna of Circular Polarization fed by an Atractive Method of Microstripline.
    https://www.researchgate.net/publication/370109111_Hexagonal_Patch_Antenna_of_Circular_Polarization_fed_by_an_Atractive_Method_of_Microstripline

  4. Electromagnetic Analysis of a 2 Port-Aperture Coupled-Rectangular Patch Antenna with Complementary Rectangular Stub.
    https://www.researchgate.net/publication/370108553_Electromagnetic_Analysis_of_a_2_Port-Aperture_Coupled-Rectangular_Patch_Antenna_with_Complementary_Rectangular_Stub

“`

Il-Cho Park | Engineering | Best Researcher Award

Published on by Best Paper Awards

Prof. Il-Cho Park | Engineering | Best Researcher Award 

Professor | Mokpo National Maritime University | South Korea

Prof. Il-Cho Park is a highly capable and impactful engineering professional whose academic depth and extensive industry background position him as a strong candidate for the Best Researcher Award. With over five years of professional experience in the shipping industry and a focused academic trajectory in surface treatment engineering for marine materials, he has cultivated a rare blend of practical expertise and research-driven innovation. His career demonstrates steady progression from first-class engineer at Hanjin Shipping Co., Ltd. to senior academic leadership as Professor at Mokpo National Maritime University, where he has served since 2020 while simultaneously holding the role of Chief Engineer. This dual track reflects his commitment to bridging industrial practice with scientific advancement, particularly in areas such as ship engineering, corrosion protection, surface treatment technologies, and marine pollution management. His academic credentials, including a master’s degree and a doctorate from Mokpo National Maritime University between 2013 and 2018, provide a strong foundation for advanced research in marine materials and engineering processes. Prof. Park’s expertise contributes significantly to improving maritime safety, enhancing material durability, and advancing eco-friendly engineering solutions within the marine sector. His career reflects sustained dedication to developing engineering methods that address real-world operational challenges, aligning with global priorities for sustainable and resilient maritime systems. Through active involvement in academia and maritime operations, he consistently demonstrates the ability to apply theoretical knowledge to practical technological improvements and industry standards. His contributions support the training of future marine engineers, promote innovation in surface treatment science, and address pressing environmental concerns linked to marine pollution. Overall, his professional record, specialized skill set, and commitment to continuous improvement highlight his suitability for the Best Researcher Award, underscoring his role as an influential figure advancing engineering excellence in the maritime field.

Profiles: ORCID | ResearchGate

Featured Publications

Park, I. C., & Kim, S. J. (2022). Cavitation erosion characteristics of hard chromium plated diesel engine cylinder liner. Transactions of the IMF.

Park, I. C., & Han, M. S. (2021). Solid particle erosion behavior of Inconel 625 thermal spray coating layers. Journal of the Korean Society of Marine Environment and Safety.

Park, I. C., & Han, M. S. (2021). Analysis of electrochemical corrosion resistance of Inconel 625 thermal spray coated fin tube of economizer. Journal of the Korean Society of Marine Environment and Safety.

Yang, Y. J., Lee, J. H., Park, I. C., & Kim, S. J. (2020). Investigation on electrochemical cathodic protection for cavitation-erosion reduction of anodized aluminum alloy. Journal of Nanoscience and Nanotechnology.

Park, I. C., & Kim, S. J. (2020). Determination of corrosion protection current density requirement of zinc sacrificial anode for corrosion protection of AA5083-H321 in seawater. Applied Surface Science.

Prof. Il-Cho Park’s research advances the durability, safety, and sustainability of marine engineering systems through innovative surface treatment and corrosion-protection technologies. His work supports safer maritime operations, strengthens engineering materials for long-term industrial use, and contributes globally to cleaner, more resilient marine environments.

Jianbin Chen | Engineering | Best Researcher Award

Published on by Best Paper Awards

Mr. Jianbin Chen | Engineering | Best Researcher Award

Chief Technology Officer | Guangdong Titans Intelligent Power Company Ltd | China

Mr. Jianbin Chen is a distinguished engineering professional with more than 11 years of expertise in digital signal design, iterative coding, data storage and communication systems, and the integration of power and wireless communication technologies in the Internet of Things (IoT). He currently serves as the Executive Vice President and R&D Director at Guangdong Titan Intelligent Power Co., Ltd., in addition to holding roles as a Senior Engineer, IEEE member, off-campus master’s mentor at Nanchang Institute of Technology, and Visiting Associate Professor at Guangdong Polytechnic of Science and Technology. Mr. Chen earned his bachelor’s degree from North Central University in 2011 and completed his Ph.D. at the University of Macau in 2021. Throughout his career, he has led and executed numerous high-impact projects, including intelligent air conditioning energy control systems, IoT-based smart street lighting systems, and advanced energy consumption control platforms for major infrastructure. He has overseen several provincial and municipal innovation programs, demonstrating strong leadership in research and technology development. Mr. Chen has secured 30 patents and 28 software copyrights, with many of his innovations being successfully commercialized and widely recognized. His outstanding contributions have earned him multiple prestigious honors such as the Zhuhai Talent Program, the Best Software Technology Innovation Product Awards, and national innovation competition prizes. Academically, he has published influential research papers and a book, with his work featured in SCI-indexed journals, covering topics like power electronics, intelligent control systems, and smart cities. His ability to combine advanced research with industrial applications has significantly contributed to the development of smart energy and IoT technologies in China. Mr. Chen’s visionary leadership, technical excellence, and dedication to innovation position him as a key figure in advancing intelligent infrastructure and sustainable technology solutions for the future.

Profile: ORCID
Featured Publications

  1. Chen, J., Yang, C., Zou, J., & Chen, K. (2025). Multiplier operated controller for CCM boost PFC converter with regulated input impedance and improved power factor. IEEE Access. DOI: 10.1109/ACCESS.2025.3548096

  2. Chen, J., Yang, C., & Zou, J. (2025). Optimization control strategy of wide ZVS range and automatic Euler angle for bi-directional wireless power transfer system by TPS. International Journal of Electrical Power & Energy Systems. DOI: 10.1016/j.ijepes.2025.111133

  3. Chen, J., Yang, C., & Zou, J. (2022). Robust enhanced voltage range control for industrial robot chargers. IEEE Access. DOI: 10.1109/ACCESS.2022.3229688

  4. Chen, J., Yang, C., Tang, S., & Zou, J. (2021). A high power interleaved parallel topology full-bridge LLC converter for off-board charger. IEEE Access. DOI: 10.1109/ACCESS.2021.3130051

  5. Chen, J. (2017). SMT物料种类与标准. 电子工业出版社. ISBN: 978-7-121-31740-8

Julio Pino | Engineering | Lifetime Achievement Award

Published on by Best Paper Awards

Prof. Dr. Julio Pino | Engineering | Lifetime Achievement Award 

Professor | Universidad Estatal del Sur de Manabí | Ecuador

Dr. Julio Cesar Pino Tarragó is a distinguished mechanical engineer and Senior Professor I with a Ph.D. in Mechanical Engineering from the Polytechnic University of Madrid, Spain (2008), and a degree in Mechanical Engineering from Universidad de Holguín “Oscar Lucero Moya” (1993). With extensive experience in both undergraduate and postgraduate teaching, he has delivered courses in strength of materials, theoretical mechanics, mechanical design, physics, statistics, operation and maintenance of agricultural machinery, design of experiments, ergonomics, and reliability of mechanical systems, among others. He has supervised numerous master’s and doctoral theses focused on tribology, agricultural machinery performance, biodigesters, and advanced manufacturing techniques, while also leading significant research projects internationally, including in Cuba, Spain, and Ecuador. His research interests encompass mechanical design, tribology, agricultural machinery, renewable energy, process optimization, and educational technologies using artificial intelligence. Dr. Pino Tarragó has an extensive publication record, including Scopus-indexed Q1-Q3 journals, peer-reviewed books on structural steel design, experimental methods, and engineering education, and articles in Latindex and SciELO journals, reflecting his scholarly impact with 207 citations, H-index 6, and i10-index 5. He has contributed to community-oriented projects, such as sustainable energy solutions for rural areas and constructivist teaching methodologies supported by AI, and has actively engaged in mentorship, leadership, and educational innovation. His awards and honors recognize his commitment to teaching excellence, research leadership, and societal impact in engineering and education. Overall, Dr. Pino Tarragó represents a highly accomplished professional whose expertise, research achievements, and leadership have significantly advanced mechanical engineering and educational practices, positioning him as an influential figure capable of shaping future innovations and mentoring the next generation of engineers globally.

Profiles: Google Scholar | ORCID | LinkedIn | ResearchGate

Featured Publications

  1. Pino Tarragó, J. C.,. (2025). Artificial intelligence and soft skills in civil engineering education: A Latin American curriculum gap with global implications. Research in Globalization, 100307.
    Citations: 20 | H-index: 6

  2. Pino Tarragó, J. C. (2025). Technology and innovative pedagogical strategies in foreign language teaching: Experience at UNESUM. Revista Salud, Ciencia y Tecnología, Q3.
    Citations: 15 | H-index: 6

  3. Pino Tarragó, J. C. (2025). Technology and Gamification in English Teaching for Civil Engineering: A Quasi-Experimental Study. Revista Salud, Ciencia y Tecnología, Q3.
    Citations: 12 | H-index: 6

  4. Pino Tarragó, J. C. (2024). Integrated Wastewater Treatment Technology: Efficiency of Lime and Eichhornia crassipes for Agricultural Irrigation. Revista Salud, Ciencia y Tecnología, Q3.
    Citations: 10 | H-index: 6

  5. Pino Tarragó, J. C. (2024). NEUROTIC in the process of teaching-learning in higher education. Revista Electrónica Formación y Calidad Educativa (REFCalE), 12(3).
    Citations: 8 | H-index: 6

Xingyu Zhou | Engineering | Best Researcher Award

Published on by Best Paper Awards

Prof. Dr. Xingyu Zhou | Engineering | Best Researcher Award 

Assistant Professor | Beijing Institute of Technology | China

Dr. Zhou Xingyu, Assistant Professor at the Beijing Institute of Technology, is an accomplished researcher specializing in renewable energy and electric vehicles. He earned his Ph.D. in Vehicle Engineering from Chongqing University in 2020, following a Bachelor’s degree in Mechanical Design, Manufacturing, and Automation from the same institution. Dr. Zhou has extensive professional experience, including his current role as Assistant Professor at the School of Mechanical Engineering and Vehicle Engineering, Beijing Institute of Technology since March 2023, and a postdoctoral fellowship at the same institute from 2020 to 2023, where he contributed to the National Engineering Research Center for Electric Vehicles. His research interests focus on vehicle powertrain optimization, intelligent energy management, stochastic and data-driven modeling, and electric vehicle motion planning for enhanced energy efficiency. He has demonstrated expertise in multi-objective optimization, machine learning applications for powertrain design, and integration of fuel cell and hybrid electric vehicle systems. Dr. Zhou has led and participated in multiple high-impact research projects, including a National Natural Science Foundation of China Youth Project and key provincial and national projects on electric vehicle energy optimization and system integration. He has published 27 Scopus-indexed documents with 448 citations and an h-index of 11, in reputed journals such as Applied Energy, Journal of Power Sources, Journal of Cleaner Production, and IEEE Transactions on Vehicular Technology, serving frequently as corresponding author. His awards and honors include the Best Student Paper Award at the 2018 Italian Conference on Machines and Mechanisms. In addition, he contributes to the academic community as a reviewer for top journals and Guest Editor of Sustainability. Dr. Zhou Xingyu’s strong technical expertise, leadership in research projects, international collaborations, and commitment to sustainable innovation make him a highly deserving candidate for the Best Researcher Award, reflecting both outstanding academic achievements and meaningful contributions to advancing green mobility and energy-efficient transportation solutions globally.

Profiles: Scopus | ORCID

Featured Publications

Sun, C., Zhang, C., Sun, F., & Zhou, X. (2022). Stochastic co-optimization of speed planning and powertrain control with dynamic probabilistic constraints for safe and ecological driving. Applied Energy, 35, 119874.

Zhou, X., Sun, C., Sun, F., & Zhang, C. (2022). Commuting-pattern-oriented optimal sizing of electric vehicle powertrain based on stochastic optimization. Journal of Power Sources, 545, 23178.

Zhou, X., Sun, F., Zhang, C., & Sun, C. (2022). Stochastically predictive co-optimization of speed planning and powertrain controls for electric vehicles driving in random traffic environment safely and efficiently. Journal of Power Sources, 528, 231200.

Zhou, X., Sun, F., Sun, C., & Zhang, C. (2022). Predictive co-optimization of speed planning and powertrain energy management for electric vehicles driving in traffic scenarios: Combining strengths of simultaneous and hierarchical methods. Journal of Power Sources, 523, 230910.

Zhou, X., Sun, F., & Sun, C. (2021). Machine learning aided methods for reducing the dimensionality of the comprehensive energy economy optimization of fuel cell powertrains. Journal of Cleaner Production, 327, 129250.

Naghi Rostami | Engineering | Best Researcher Award

Published on by Best Paper Awards

Assoc. Prof. Dr. Naghi Rostami | Engineering | Best Researcher Award 

Faculty of Electrical and Computer Engineering | University of Tabriz | Iran

Dr. Naghi Rostami is an accomplished academic and researcher in electrical power engineering, currently serving as Associate Professor and Head of the Electric Power Engineering Department at the University of Tabriz, Iran, where he has held leadership responsibilities from 2018 to 2024. He completed his B.Sc. in Electrical Engineering at K. N. Toosi University of Technology in 2006, his M.Sc. at the University of Tehran in 2008, and earned his Ph.D. from the University of Tabriz in 2013. He also gained international exposure through a research opportunity at Lappeenranta University of Technology, Finland, in 2012 under the supervision of Prof. Juha Pyrhönen. His primary research interests include permanent magnet machine design, particularly axial flux and radial flux configurations, hybrid electric vehicle energy management, modeling and optimization of electrical machines, and the integration of renewable energy systems with electric vehicles and storage technologies. Dr. Rostami’s research skills span analytical and numerical design methods, genetic algorithms, particle swarm optimization, and advanced co-simulation approaches, which he has applied to the design and performance improvement of permanent magnet machines and energy systems. He has an impressive record of publications in reputable journals such as IEEE Transactions on Magnetics, IET Electric Power Applications, Sustainable Cities and Society, and COMPEL, with many works indexed in Scopus and IEEE Xplore. His Google Scholar profile records more than 1,500 citations with an H-index of 19, highlighting the international recognition of his work. While his CV does not list specific awards and honors, his achievements in leadership, international collaborations, and sustained scholarly contributions stand as testaments to his professional excellence. In conclusion, Dr. Rostami is a dedicated scholar whose expertise, impactful publications, and leadership in academia and research make him a strong candidate for recognition through distinguished awards and honors in the field of electrical power engineering.

Profiles: Google Scholar | LinkedIn | ResearchGate

Featured Publications

  1. Jalilzadeh, T., Rostami, N., Babaei, E., & Maalandish, M. (2018). Nonisolated topology for high step-up DC–DC converters. IEEE Journal of Emerging and Selected Topics in Power Electronics, 11(1), 137–150.(Cited 137 times)

  2. Rostami, N., Feyzi, M. R., Pyrhonen, J., Parviainen, A., & Niemela, M. (2012). Lumped-parameter thermal model for axial flux permanent magnet machines. IEEE Transactions on Magnetics, 49(3), 1178–1184.(Cited 136 times)

  3. Zeynali, S., Rostami, N., Ahmadian, A., & Elkamel, A. (2020). Two-stage stochastic home energy management strategy considering electric vehicle and battery energy storage system: An ANN-based scenario generation methodology. Sustainable Energy Technologies and Assessments, 39, 100722.(Cited 104 times)

  4. Marzang, V., Hosseini, S. H., Rostami, N., Alavi, P., & Mohseni, P. (2020). A high step-up nonisolated DC–DC converter with flexible voltage gain. IEEE Transactions on Power Electronics, 35(10), 10489–10500.(Cited 96 times)

  5. Zeynali, S., Rostami, N., & Feyzi, M. R. (2020). Multi-objective optimal short-term planning of renewable distributed generations and capacitor banks in power system considering uncertainties. International Journal of Electrical Power & Energy Systems, 119, 105885.(Cited 93 times)

Saurabh Kumar | Engineering | Best Researcher Award

Published on by Best Paper Awards

Dr. Saurabh Kumar | Engineering | Best Researcher Award

Assistant Professor | IIMT University | India

Dr. Saurabh Kumar is an accomplished researcher in Civil and Environmental Engineering with a focus on water quality, corrosion monitoring, wastewater treatment, and sustainable engineering practices. He is currently serving as a Postdoctoral Researcher at Thammasat University, Thailand (July 2024 – June 2025). Prior to this, he worked as an Assistant Professor in the Department of Civil Engineering at IIMT University, Meerut, Uttar Pradesh, India (June 2023 – June 2024). His academic journey began with a B.Tech in Civil Engineering from Darbhanga College of Engineering, Bihar, under Aryabhatta Knowledge University (2013 – 2017), followed by an M.Tech in Environmental Engineering from the National Institute of Technology Patna (2018 – 2020). He pursued a Ph.D. in Environmental Engineering at NIT Patna, Ministry of Education, Government of India (2020 – 2023), where his research focused on “Monitoring and Modelling of Corrosion Rate in Drinking Water Distribution Network.” Dr. Kumar has a strong research profile, with publications in SCI, Scopus, and IEEE-indexed journals such as Environmental Science and Pollution Research, Journal of Materials Engineering and Performance, and Nature’s Scientific Reports. He has authored a book, contributed to book chapters with reputed publishers, and presented papers at multiple international conferences, including IEEE and Springer platforms. His work reflects the integration of conventional engineering with advanced tools such as machine learning for solving environmental challenges.

Profile: Scopus | ORCID

 Publications

  1. Kumar Saurabh, Singh R., Maurya N.S., Water quality analysis and corrosion potential of the distribution network of Patna, Bihar, India. J. Environ. Eng. Sci., 2022, 17(4), 164–174. (ESCI)

  2. Kumar Saurabh, Singh R., Maurya N.S., Assessment of corrosion potential based on water quality index in the distribution network of urban Patna, Bihar, India. J. Nat. Environ. Pollut. Technol., 2022, 21(5), 2117–2127. (Scopus)

  3. Kumar Saurabh, Singh R., Maurya N.S., Raj V., Monitoring of the corrosion in the pipeline of the distribution network using weight loss method & image processing technique. J. Mater. Eng. Perform., 2022. (SCI)

  4. Kumar Saurabh, Singh R., Maurya N.S., Modelling of corrosion rate in the drinking water distribution network using Design Expert 13 software. Environ. Sci. Pollut. Res., 2023. (SCI)

  5. Rajeev R., Kumar Saurabh, Singh R., Monitoring of traffic noise pollution in urban Patna, Bihar, India. Noise Vib. Worldwide, 2023. (Scopus)

  6. Kumar P., Kumar Saurabh, Kumar M., Chaubey A., Nayak J., Groundwater flow and solute transport modelling: A mathematical analysis. Indian J. Environ. Prot., 2024, 44(3), 257–264. (Scopus)

  7. Shivam H., Sharma D., Bansal T., Pande R., Kumar Saurabh, Weesakul U., In-vessel bioconversion of garden waste into compost with an emphasis on process efficiency and compost quality. Eng. Appl. Sci. Res., 2025, 52(1), 105–111. (Scopus)