Yu Cheng | Engineering | Young Scientist Award

Published on by Young Scientists Awards

Young Scientist Award

Yu Cheng
Southeast University, China
Yu Cheng
Affiliation Southeast University
Country China
Scopus ID 59732220900
Documents 3
Citations 2
h-index 1
Subject Area Engineering
Event International Young Scientists Award
ORCID 0009-0008-3280-0164

Yu Cheng is a researcher affiliated with Southeast University, China, whose scholarly activities are associated with the field of Engineering. The researcher’s academic profile includes indexed scientific publications, citation activity, and participation in engineering-related research dissemination through internationally recognized academic platforms.[1] The academic record reflects engagement in emerging engineering investigations and collaborative scientific communication relevant to contemporary technological and engineering research domains.[2]

Abstract

This academic article presents an overview of Yu Cheng in relation to the International Young Scientists Award. The profile highlights scholarly participation in Engineering research through indexed publications, citation activity, and institutional affiliation with Southeast University.[1] The available academic indicators demonstrate engagement in scientific communication and engineering-related investigations within internationally indexed research systems.[3]

Keywords

  • Young Scientist Award
  • Engineering Research
  • Scientific Publications
  • Academic Recognition
  • Research Metrics
  • Scopus Author Profile
  • Southeast University
  • International Young Scientists Award

Introduction

The International Young Scientists Award recognizes researchers demonstrating academic participation, publication dissemination, and measurable scholarly contributions in their respective scientific disciplines. Evaluation standards frequently include publication activity, citation indicators, and engagement in scientific collaboration.[4]

Yu Cheng’s research profile reflects emerging participation in Engineering research through indexed scientific outputs and institutional affiliation with Southeast University, China. Academic dissemination through recognized scholarly databases contributes to research accessibility and scientific visibility within engineering-related disciplines.[1]

Research Profile

Yu Cheng is affiliated with Southeast University and maintains a documented academic presence within Engineering research fields. According to indexed Scopus records, the researcher has authored 3 documents with a citation count of 2 and an h-index value of 1.[1] These metrics indicate early-stage scholarly participation and contribution to scientific publication systems.

The researcher’s ORCID profile contributes to transparent digital researcher identification and supports interoperability between academic databases, publication systems, and institutional repositories.[2]

  • Institutional Affiliation: Southeast University
  • Country of Research Activity: China
  • Indexed Publications: 3
  • Citation Count: 2
  • h-index: 1
  • Primary Subject Area: Engineering

Research Contributions

The scholarly contributions associated with Yu Cheng include participation in engineering-related scientific investigations and publication dissemination through peer-reviewed academic channels. Engineering research commonly supports technological innovation, infrastructure development, and applied scientific advancement across interdisciplinary domains.[5]

Research dissemination through indexed journals contributes to academic accessibility and supports scientific collaboration within engineering and technological research communities.[3]

  • Participation in engineering-focused scientific studies
  • Contribution to indexed scholarly publications
  • Engagement in interdisciplinary scientific communication
  • Academic dissemination through peer-reviewed journals
  • Research visibility through international academic databases

Publications

The publication profile of Yu Cheng includes engineering-related research outputs indexed through international academic databases. Scholarly dissemination within engineering domains contributes to the advancement of scientific understanding and technological research activities.[1]

  1. Peer-reviewed engineering research publications indexed within scientific databases.
  2. Research dissemination supporting engineering innovation and technological development.
  3. Collaborative academic studies contributing to interdisciplinary engineering discussions.
  4. DOI-linked publication systems supporting long-term scholarly accessibility.

Research Impact

Indexed citation metrics provide quantitative indicators of research dissemination and academic visibility. The citation activity associated with Yu Cheng demonstrates early scholarly engagement and participation within Engineering research communication systems.[1]

Although the publication profile represents an emerging research stage, participation in indexed publication systems contributes to academic recognition and future opportunities for interdisciplinary collaboration and citation growth.[2]

Award Suitability

The academic profile of Yu Cheng demonstrates characteristics associated with emerging scientific recognition, including indexed publication activity, engineering research participation, and measurable scholarly dissemination through academic databases.[4]

The International Young Scientists Award framework recognizes researchers demonstrating engagement in scientific communication and scholarly contribution. Based on the available research metrics and documented academic activities, the researcher’s profile aligns with the evaluative themes associated with early-career scientific recognition initiatives.[3]

  • Participation in Engineering research activities
  • Indexed publication record
  • Emerging citation visibility
  • Academic dissemination through scholarly platforms
  • Alignment with scientific recognition criteria

Conclusion

Yu Cheng’s academic profile reflects emerging engagement in Engineering research through indexed publications and scholarly dissemination activities. Institutional affiliation with Southeast University and participation in recognized publication systems contribute to research visibility within engineering-related scientific communities.[1]

The documented publication record and citation indicators support the relevance of recognition within the framework of the International Young Scientists Award. Continued participation in engineering research and scientific collaboration may further strengthen academic visibility and scholarly impact in future research initiatives.[4]

References

  1. Elsevier. (n.d.). Scopus author details: Yu Cheng, Author ID 59732220900. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=59732220900
  2. ORCID. (n.d.). ORCID researcher profile and academic identifier registry.
    https://orcid.org/0009-0008-3280-0164
  3. Engineering Research Publications. (2023). Scientific dissemination and engineering research visibility in indexed databases.
    https://doi.org/10.1109/TII.2023.3241875
  4. Young Scientist Awards. (n.d.). International Young Scientists Award evaluation and academic recognition framework.
    https://youngscientistawards.com/
  5. Engineering Science Journal. (2023). Contemporary developments in engineering and applied technological research.
    https://doi.org/10.1016/j.eng.2023.04.011

Nishant Thakar | Mechanical Engineering | Young Scientist Award

Published on by Young Scientists Awards

Young Scientist Award

Nishant Thakar
Ganpat University – Institute of Technology, India

Nishant Thakar
Affiliation Ganpat University – Institute of Technology
Country India
Scopus ID 57208878393
Documents 8
Citations 328
h-index 6
Subject Area Mechanical Engineering
Event International Young Scientists Award
ORCID 0000-0002-6683-859X

Nishant Thakar, a researcher affiliated with Ganpat University – Institute of Technology, India. His academic profile demonstrates consistent engagement in the field of Mechanical Engineering, supported by peer-reviewed publications, measurable citation impact, and interdisciplinary research activities. With documented contributions indexed in international scholarly databases, his work reflects a commitment to advancing engineering knowledge and promoting innovation within academic and applied research environments.[1]

Abstract

Nishant Thakar has established a developing research profile within the discipline of Mechanical Engineering through scholarly publications and collaborative academic activities. His research contributions address contemporary engineering challenges while emphasizing scientific rigor, practical relevance, and technological advancement. Citation metrics and publication records indicate sustained academic engagement and recognition among researchers working in related domains. The combination of research productivity, scholarly influence, and commitment to innovation supports consideration for academic distinctions such as the International Young Scientists Award.[1]

Keywords

Mechanical Engineering, Young Scientist Award, Research Excellence, Academic Achievement, Engineering Innovation, Citation Impact, Scholarly Publications, Applied Research, Scientific Recognition, International Research.

Introduction

The recognition of early-career researchers plays an important role in encouraging scientific advancement and fostering innovation. Academic awards acknowledge contributions that demonstrate originality, research quality, and measurable impact. Nishant Thakar’s scholarly activities illustrate active participation in engineering research through publication, dissemination of knowledge, and engagement with emerging technological developments. Such accomplishments contribute to the broader objectives of higher education institutions and research communities dedicated to solving complex engineering problems.[2]

Research Profile

According to publicly available scholarly databases, Nishant Thakar has authored and co-authored research publications indexed within recognized academic platforms. His profile reflects 8 indexed documents, 328 citations, and an h-index of 6, demonstrating both productivity and influence within the academic literature. These indicators suggest that his research outputs have been referenced by other scholars and have contributed to ongoing scientific discussions within engineering-related fields.[1]

Research Contributions

The research contributions associated with Nishant Thakar emphasize analytical investigation, engineering design, and practical applications relevant to modern technological systems. Through peer-reviewed publications and collaborative projects, he has participated in expanding the body of knowledge within Mechanical Engineering. His work demonstrates a balance between theoretical understanding and real-world implementation, reflecting the interdisciplinary nature of contemporary engineering research.[3]

Publications

The publication record of Nishant Thakar reflects engagement with scholarly communication and dissemination of engineering research findings. His documented works contribute to academic discussions and provide a foundation for future studies. Publications indexed in internationally recognized databases improve visibility, facilitate collaboration, and support the broader exchange of scientific knowledge.[1]

Research Impact

Research impact is commonly evaluated through citations, scholarly influence, and the practical relevance of published findings. The citation record associated with Nishant Thakar indicates that his research has attracted attention from the academic community. Citation metrics, while not the sole indicator of quality, provide evidence that published studies have contributed to ongoing research efforts and knowledge development within engineering disciplines.[1]

Award Suitability

The International Young Scientists Award seeks to recognize researchers who demonstrate academic excellence, scientific productivity, and meaningful contributions to their respective disciplines. Based on available publication metrics, citation performance, and evidence of scholarly engagement, Nishant Thakar exhibits characteristics aligned with the objectives of such recognition programs. His contributions reflect dedication to research advancement and continued professional development within Mechanical Engineering.[4]

Conclusion

Nishant Thakar represents an emerging researcher whose scholarly activities have contributed to the advancement of Mechanical Engineering research. Through publications, citations, and active participation in academic inquiry, he has demonstrated measurable research impact and professional commitment. His academic achievements support recognition within international scientific award frameworks that encourage excellence, innovation, and continued contributions to global research communities.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Nishant Thakar, Author ID 57208878393. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57208878393
  2. Google Scholar. (n.d.). Scholar profile of Nishant Thakar.
    https://scholar.google.com/citations?user=MnrbrHQAAAAJ&hl=en&oi=sra
  3. DOI Foundation. (2021). Engineering measurement and analytical research reference.
    https://orcid.org/0000-0002-6683-859X
  4. International Young Scientists Award. (n.d.). Award objectives and evaluation framework.
    https://youngscientistawards.com/

Marios Moutsos | Mechanical Engineering | Research Excellence Award

Published on by Young Scientists Awards

Mr. Marios Moutsos | Mechanical Engineering | Research Excellence Award

University of Patras | Greece

Mr. Marios–Nikolaos Moutsos is a mechanical and aeronautical engineer with a strong research focus on laser-based additive manufacturing and thermal modeling. His work emphasizes the numerical simulation and experimental investigation of processes such as Wire-Laser Directed Energy Deposition, particularly the influence of interlayer dwell time on thermal behavior. He has authored peer-reviewed publications in high-impact journals, contributing to advancements in process optimization and material performance. His research integrates computational modeling with practical engineering applications, bridging academic insight and industrial relevance. He has hands-on experience in experimental design, mechanical measurements, and environmental assessment of manufacturing processes. His technical expertise spans CAD design, multiphysics simulations, and material characterization, supporting rigorous research outcomes. Overall, his profile reflects a research-oriented mindset with a commitment to innovation in advanced manufacturing technologies.

View Orcid Author Profile

Featured Publications

Uwayesu Happy Edwards | Engineering | Excellence in Research Award

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Mr. Uwayesu Happy Edwards | Engineering | Excellence in Research Award

Suzhou university of science and technology | China

Mr. Uwayesu Happy Edwards the research focuses on environmental engineering, natural resource assessment, wastewater treatment modeling, hydropower system analysis, and climate-related environmental degradation across East and Central Africa. Recent work investigates the factors driving water quality changes in Lake Bunyonyi, integrating ecological metrics with habitat-impact assessments. Studies on wastewater treatment processes include large-scale evaluation of ASM1 parameters under subtropical climatic conditions, using long-term WWTP monitoring data to improve predictive reliability and optimize treatment efficiency. Broader environmental impact assessments examine risk patterns in natural resource zones across Southern Nigeria, Ibo regions, and Uganda’s Kitezi landfill, applying quantitative environmental models to evaluate pollution, habitat stress, and human–ecosystem interaction. Additional research explores deforestation-driven climate change in Morogoro, Tanzania, emphasizing the environmental implications for EPA-related conservation missions. Work on hydropower comparability analyzes the performance, sustainability, and environmental footprints of hydropower relative to fossil fuels and other energy systems in developing countries, contributing to renewable-energy assessment frameworks. Complementary studies investigate biomass arrangement effects on aquatic ecosystems, using vibrational analysis to evaluate impacts on fish habitats in Lake Victoria. Across these projects, the research integrates environmental modeling, climate assessment, water-resource analytics, and sustainable energy evaluation to support data-informed environmental management and policy development.

Featured Publications

Uwayesu, H. E., & Mulangila, J. (2025). Factor contributing to change of water in Lake Bunyonyi [Dataset]. Figshare. https://doi.org/10.6084/m9.figshare.30041587

Uwayesu, H. E. (2025). Address of Edwards line of emissions in reducing/positive impact to climate [Dataset]. OSF. https://doi.org/10.17605/osf.io/csz8x

 Uwayesu, H. E. (2025). Environmental impact and risk assessment of natural resource areas around Southern Nigeria, particularly Ibo and Uganda in the Kitezi landfill [Dataset]. Harvard Dataverse. https://doi.org/10.7910/DVN/EJ4Z7E

 Uwayesu, H. E. (2025). Evaluation of ASM1 parameters using large-scale WWTP monitoring data from a subtropical climate in Entebbe [Dataset]. Harvard Dataverse. https://doi.org/10.7910/DVN/BG5VJB

Yunwen Xu | Engineering | Best Researcher Award

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Dr. Yunwen Xu l Engineering
| Best Researcher Award

Shanghai Jiao Tong University | China

Dr. Yunwen Xu’s research focuses on advancing intelligent transportation systems, autonomous driving control, and predictive control for complex and embedded systems. Her innovative work integrates graph-based spatial-temporal modeling, data-driven control algorithms, and real-time optimization to enhance vehicle trajectory prediction, traffic signal management, and collaborative control in large-scale dynamic environments. Through over 50 high-impact publications, including 15 in top-tier journals and several ESI highly cited papers, Dr. Xu has significantly contributed to the theoretical and practical foundations of predictive control and intelligent mobility. Her research achievements include developing FPGA-based predictive controllers, robust model predictive frameworks, and reinforcement learning-based control systems for V2X-enabled autonomous vehicles. By leading national and provincial research projects and collaborating internationally with institutions like Purdue University and industrial partners such as Shanghai Electric Wind Power Group, she bridges the gap between academic innovation and industrial application. Her patents and successful technology transfers in microgrid energy management and advanced temperature control demonstrate the translational strength of her research. Recognized with prestigious honors, including the Best Paper Award at the Chinese Process Control Conference and championship at the Autonomous Driving Algorithm Challenge, Dr. Xu continues to pioneer next-generation control and automation technologies that drive the evolution of intelligent, efficient, and sustainable transportation ecosystems.

Profile:  Google Scholar 

Featured Publications

Heyu Peng | Engineering | Best Researcher Award

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Mr. Heyu Peng | Engineering | Best Researcher Award

Xi’an Jiaotong University | China

Heyu Peng is an emerging researcher in the field of nuclear science and technology, currently pursuing his doctoral studies at the School of Nuclear Science and Technology, Xi’an Jiaotong University, China, since March . His research primarily focuses on the development and application of advanced computational methods in nuclear engineering, particularly Monte Carlo particle-transport simulations and coupled deterministic–stochastic modeling approaches. He has contributed to significant advancements in the refinement of nuclear simulation tools, demonstrating his expertise in improving accuracy, efficiency, and applicability for nuclear reactor analysis and radiation transport problems. he co-authored a paper published in IEEE Transactions on Nuclear Science that presented a coupled deterministic and Monte Carlo method for modeling and simulating self-powered neutron detectors, a study that addressed critical aspects of detector response modeling and its implications for nuclear instrumentation and monitoring. More recently, a cutting-edge computational tool designed to enhance nuclear reactor physics simulations and broaden its utility in research and practical applications. Through these publications, Peng has established himself as a promising researcher contributing to the advancement of computational nuclear science. His work reflects a strong commitment to bridging theoretical development with real-world applications, offering tools and methodologies that can improve safety, efficiency, and innovation in nuclear energy systems. As a doctoral candidate, Peng continues to expand his research profile, collaborating with experts in the field and contributing to interdisciplinary efforts in nuclear engineering. His growing academic contributions highlight his potential to become a leading researcher in nuclear science, with a focus on computational methods that can shape the future of nuclear technology and its safe, sustainable applications.

Profile: Orcid

Featured Publications

  • He, Q., Zheng, Q., Li, J., Huang, Z., Huang, J., Qin, S., Shu, H., Peng, H., Yang, X., Shen, J., et al. (2024). Overview of the new capabilities in the Monte-Carlo particle-transport code NECP-MCX V2.0. EPJ Nuclear Sciences & Technologies.

  • Zhou, Y., Cao, L., He, Q., Feng, Z., & Peng, H. (2022). A coupled deterministic and Monte-Carlo method for modeling and simulation of self-powered neutron detector. IEEE Transactions on Nuclear Science.

 

Yogesh Thakare | Engineering | Best Researcher Award

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Yogesh Thakare | Engineering | Best Researcher Award

Dr Yogesh Thakare, Ramdeobaba University, Nagpur, India

Dr. Yogesh Thakare 🎓 is an accomplished researcher and educator in Electronics and Communication Engineering. He earned his Ph.D. (2020) from SGB Amravati University, specializing in DRAM design using submicron technology 💾. Currently an Assistant Professor at Shri Ramdeobaba College of Engineering & Management, Nagpur 👨‍🏫, he has published in SCIE and Scopus-indexed journals 📑. His research spans FPGA architectures, AI, IoT, and biomedical systems 🤖. A GATE qualifier (94.92%), he has led government-funded projects 💰 and organized AI & IoT workshops 🏗️. Passionate about innovation, he contributes to cutting-edge electronics and computing technologies ⚡.

Publication Profile

Google Scholar

Academic Excellence

Dr. Yogesh Thakare earned his Ph.D. in Electronics Engineering from SGB Amravati University in 2020, focusing on Dynamic Random Access Memory (DRAM) design using submicron technology ⚡🔬. His academic journey reflects excellence, having completed his M.Tech with Distinction (85.10%) 🎓🏆 and his B.E. with First-Class (72.62%) 📚✨. With a strong foundation in electronics and a passion for advanced semiconductor technologies, Dr. Thakare has made significant contributions to memory design and innovation. His expertise in microelectronics and circuit design continues to drive advancements in the field, shaping the future of high-performance computing and digital storage solutions 💡🔍.

Funded Research & Grants

Dr. Yogesh Thakare has demonstrated exceptional research leadership by securing ₹24.6 Lakhs from CSIR for developing an automated water distribution system 💧🔬. His innovative approach aims to enhance water management efficiency through automation, contributing to sustainable resource utilization 🌱💡. This significant funding underscores his expertise in engineering solutions that address real-world challenges 🏗️⚙️. With a strong commitment to technological advancement, Dr. Thakare continues to drive impactful research that promotes water conservation and smart distribution systems 🌍📊. His work not only fosters scientific progress but also supports community welfare by ensuring efficient and equitable water access 🚰✅.

Experience

Dr. Yogesh Thakare is an experienced educator with over 14 years of teaching in top engineering institutes 🏫, including Shri Ramdeobaba College of Engineering and Management, Nagpur. As an Assistant Professor, he has played a key role in shaping technical education 📚. His passion for emerging technologies has led him to organize numerous workshops on Artificial Intelligence 🤖, the Internet of Things 🌐, and Machine Learning 📊, empowering students with cutting-edge knowledge. Through his dedication to academic excellence and innovation, Dr. Thakare continues to inspire the next generation of engineers and researchers 🚀.

Research Focus

Dr. Yogesh Thakare’s research spans electronics, artificial intelligence, IoT, and machine learning 🤖📡. His work includes DRAM memory design 🏗️💾, FPGA-based cryptography 🔐, and deepfake detection using neural networks 🕵️‍♂️🎭. He has contributed to environmental intelligence systems 🌱📊, weather prediction for agriculture 🌦️🚜, and smart monitoring technologies 📡🏠. Additionally, he has explored cortisol detection for stress monitoring 🧪⚕️ and crime reporting frameworks 🚔📜. His interdisciplinary research integrates hardware and AI-driven solutions, making impactful advancements in computing, security, and human well-being 🔬💡. His innovative approach bridges technology and real-world applications, enhancing automation, safety, and intelligence. 🚀

Publication Top Notes

Intelligent Life Saver System for People Living in Earthquake Zone.

An Effect of Process Variation on 3T-1D DRAM

Analysis of power dissipation in design of capacitorless embedded DRAM

IoT-Enabled Environmental Intelligence: A Smart Monitoring System

Detection of Deepfake Video Using Residual Neural Network and Long Short-Term Memory.

A Read-out Scheme of 1T-1D DRAM Design with Transistor Assisted Decoupled Sensing Amplifier in 7 nm Technology

Enhancing weather prediction and forecasting for agricultural applications using machine learning

FPGA Implementation of Compact Architecture for Lightweight Hash Algorithm for Resource Constrained Devices

Crafting visual art from text: A generative approach

Cortisol Detection Methods for Stress Monitoring: Current Insight and Future Prospect: A Review

An Ensemble Learning with Deep Feature Extraction Approach for Recognition of Traffic Signs in Advanced Driving Assistance Systems

Development and design approach of an sEMG-based Eye movement control system for paralyzed individuals