Sumant Mishra | Engineering | Fast Cited Article Award

Published on by Best Paper Awards

Fast Cited Article Award

SUMANT MISHRA
Affiliation Indian Institute of Technology Mandi
Country India
Documents 2
Citations 9
h-index 1
Subject Area Engineering
Event International Research Excellence and Best Paper Awards
ORCID 0009-0008-9732-5405

SUMANT MISHRA

SUMANT MISHRA, affiliated with Indian Institute of Technology Mandi, India, is recognized with the Fast Cited Article Award for research in the field of Engineering. The recognized article, Bridging renewable energy sources with non-isolated DC-DC converters: challenges and innovations, focuses on renewable energy sources and non-isolated DC-DC converter technologies. The supplied academic information records 2 documents, 9 citations, and an h-index of 1. [1]

Abstract

This article presents the award profile of SUMANT MISHRA, affiliated with Indian Institute of Technology Mandi, India, and recognized with the Fast Cited Article Award in Engineering. The recognized research article is titled Bridging renewable energy sources with non-isolated DC-DC converters: challenges and innovations. The research topic connects renewable energy sources with non-isolated DC-DC converter technologies. The supplied academic profile records 2 documents, 9 citations, and an h-index of 1. [1]

Keywords

Fast Cited Article Award, Sumant Mishra, Engineering, Renewable Energy, Renewable Energy Sources, Non-Isolated DC-DC Converters, DC-DC Converter Technology, Power Electronics, Power Conversion, Renewable Energy Integration, Sustainable Energy Systems, Energy Conversion, Electrical Engineering, Renewable Power Systems, Converter Technology, Engineering Innovation, Sustainable Technology, Energy Technology, Research Excellence, Academic Research, Research Impact, Citation Impact, h-index, Indian Institute of Technology Mandi, IIT Mandi, Renewable Energy Technology, Power System Engineering, Energy Infrastructure.

Introduction

Renewable energy sources are an important component of contemporary energy systems. Their integration with electrical and power-conversion technologies requires appropriate approaches for voltage regulation, power management, and energy transfer. The recognized article, Bridging renewable energy sources with non-isolated DC-DC converters: challenges and innovations, addresses the relationship between renewable energy sources and non-isolated DC-DC converter technologies. The supplied information identifies the research as focusing on challenges and innovations within this area. [1]

Biography

SUMANT MISHRA is a researcher affiliated with the Indian Institute of Technology Mandi, India, with research activity identified in the field of Engineering. His award profile is associated with the research article Bridging renewable energy sources with non-isolated DC-DC converters: challenges and innovations, which focuses on renewable energy sources and non-isolated DC-DC converter technologies. The research profile supplied for this award records 2 documents, 9 citations, and an h-index of 1. These values provide a bibliometric snapshot of the supplied academic record and may change as scholarly databases are updated and additional citations are indexed. [1]

Research Profile

SUMANT MISHRA is affiliated with Indian Institute of Technology Mandi, India, and is associated with the subject area of Engineering.The supplied academic information records 2 documents, 9 citations, and an h-index of 1. These bibliometric values represent the information supplied for this award profile and may change over time. [1]

Search Contributions

The recognized article is positioned within the engineering domains of renewable energy, power electronics, and power conversion. Its focus on non-isolated DC-DC converters relates to technologies used for voltage conversion and electrical energy management.The supplied information does not include the complete article text, detailed methodology, experimental setup, datasets, or numerical findings. Therefore, specific technical results are not attributed beyond the information provided. [1]

Research Focus

The principal research focus identified in the supplied information is the integration of renewable energy sources with non-isolated DC-DC converters.The recognized article considers the challenges and innovations associated with this technological relationship, placing the research within the broader areas of renewable energy integration, power electronics, energy conversion, and engineering technology.

Research Impact

The supplied academic information records 9 citations across 2 documents, together with an h-index of 1. These bibliometric indicators provide a quantitative description of scholarly publication and citation activity associated with the supplied researcher profile. [1]

Award Recognition

The Fast Cited Article Award recognizes the research article identified in the supplied award information for its citation-related scholarly profile. SUMANT MISHRA is presented in the supplied award information as the researcher associated with the recognized article in the field of Engineering.The award information identifies Indian Institute of Technology Mandi as the researcher’s affiliation and provides ORCID identifier 0009-0008-9732-5405 as an additional scholarly identifier. [2]

Conclusion

SUMANT MISHRA of Indian Institute of Technology Mandi, India, is recognized with the Fast Cited Article Award in the field of Engineering. The supplied academic profile records 2 documents, 9 citations, and an h-index of 1. The research topic connects renewable energy technologies with power conversion systems and identifies challenges and innovations in non-isolated DC-DC converter applications. [1]

External Links

References

  1. Mishra, S., Ahmad, R., & Srivastava, A. (2025). Bridging renewable energy sources with non-isolated DC-DC converters: Challenges and innovations. Discover Electronics, 2, Article 69.
    https://link.springer.com/article/10.1007/s44291-025-00110-w
  2. ORCID.
    Sumant Mishra – ORCID record, identifier 0009-0008-9732-5405.
    https://orcid.org/0009-0008-9732-5405

  3. Enhancing voltage regulation of a zeta converter using PI and PID controllers: a comparative study under input voltage and load variation.
    https://link.springer.com/article/10.1007/s44291-025-00125-3

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Zeren Yi | Guangxi University | Best Paper Award

Published on by Best Paper Awards

Best Paper Award

ZEREN YI
Affiliation Guangxi University
Country China
Scopus ID 57210114621
Documents 13
Citations 133
h-index 6
Subject Area Engineering
Event Best Paper Awards
ORCID 0000-0002-1809-1962

ZEREN YI

ZEREN YI of Guangxi University, China is recognized with the Best Paper Award for research excellence in the field of Engineering [1]. The recognized research, titled “Hybrid H2/H∞ Interval Observer Design for a Class of MIMO Nonlinear Systems With Interference Noise,” addresses observer design for a class of multiple-input multiple-output nonlinear systems affected by interference noise.

Abstract

This article recognizes ZEREN YI with the Best Paper Award for research excellence in Engineering [1]. The recognized paper, “Hybrid H2/H∞ Interval Observer Design for a Class of MIMO Nonlinear Systems With Interference Noise,” focuses on the design of hybrid H2/H∞ interval observers for a class of MIMO nonlinear systems affected by interference noise. The work addresses observer-design challenges involving nonlinear system behavior, uncertainty, and interference effects.

Keywords

Best Paper Award, Zeren Yi, Engineering, Hybrid H2/H∞ Observer, Interval Observer, MIMO Nonlinear Systems, Nonlinear Systems, Interference Noise, Observer Design, Robust Control, State Estimation.

Introduction

The awarded research, “Hybrid H2/H∞ Interval Observer Design for a Class of MIMO Nonlinear Systems With Interference Noise,” addresses an important engineering problem involving state observation and estimation in nonlinear systems [2]. MIMO nonlinear systems can involve complex interactions among multiple inputs and outputs, while interference noise can affect the reliability of state estimation.

The study focuses on a hybrid H2/H∞ interval-observer framework for addressing observer-design challenges in the presence of interference noise. The combination of interval-observer concepts with H2 and H∞ performance criteria represents a relevant research direction in robust control and nonlinear systems engineering [3].

Research Profile

ZEREN YI is affiliated with Guangxi University, China and is associated with the subject area of Engineering. According to the provided academic information, the researcher has 13 documents, 133 citations, and an h-index of 6.

The researcher’s Scopus Author ID is 57210114621 [2]. The provided ORCID identifier is 0000-0002-1809-1962 [3]. These identifiers support the discoverability and identification of the researcher’s scholarly profile.

Research Contributions

The recognized paper contributes to Engineering through its focus on hybrid H2/H∞ interval observer design for MIMO nonlinear systems affected by interference noise [4]. The research combines nonlinear-system observation, interval estimation, and robust performance concepts within a unified observer-design problem.

The work highlights the importance of reliable state observation in nonlinear systems where interference noise may influence available system information. By concentrating on a hybrid H2/H∞ interval-observer approach, the study contributes to research concerning robust state estimation and system monitoring [4].

Research Impact

The provided academic profile records 13 documents, 133 citations, and an h-index of 6 for ZEREN YI [2]. These bibliometric indicators demonstrate an indexed publication record and measurable citation activity associated with the researcher’s academic profile.

The recognized research has particular relevance to engineering studies involving nonlinear systems, observer design, interval estimation, and interference-noise conditions. Its emphasis on hybrid H2/H∞ observer methodology provides a focused contribution to robust state estimation research [4].

Award Suitability

The Best Paper Award recognizes research demonstrating academic quality, relevance, originality, and meaningful contribution to its respective discipline [1]. ZEREN YI’s recognized research aligns with these objectives through its investigation of hybrid H2/H∞ interval observer design for MIMO nonlinear systems with interference noise.

The paper’s focus on nonlinear-system observation, interval estimation, robust performance, and interference-noise conditions represents a technically relevant research direction within Engineering [4].

Conclusion

ZEREN YI has contributed to the field of Engineering through research focused on nonlinear systems, observer design, interval estimation, and interference-noise conditions. The recognized publication, “Hybrid H2/H∞ Interval Observer Design for a Class of MIMO Nonlinear Systems With Interference Noise,” addresses a specialized engineering problem involving state observation and robust estimation in MIMO nonlinear systems [4].

With 13 documents, 133 citations, and an h-index of 6 according to the provided academic information, the researcher demonstrates an active scholarly record [2]. The Best Paper Award recognition highlights the technical relevance of the selected research within the engineering discipline [1].

External Links

References

  1. Best Paper Awards.
    International Research Excellence and Best Paper Awards Website
  2. Zeren Yi – Scopus Author Profile.
    Scopus Author ID: 57210114621
  3. Zeren Yi – ORCID Profile.
    ORCID: 0000-0002-1809-1962

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.