Xingyu Li | Augmented Reality | Young Scientist Award

Young Scientist Award

Xingyu Li
Taiyuan University of Technology, China

                      Xingyu Li
Affiliation Taiyuan University of Technology
Country China
Scopus ID 60516971300
Documents 1
Subject Area Augmented Reality
Event Global Tech Excellence Awards
ORCID 0009-0003-1155-6645

Xingyu Li is affiliated with Taiyuan University of Technology and contributes to research associated with augmented reality and engineering applications. The available scholarly profile indicates participation in internationally indexed research, providing an emerging academic foundation suitable for recognition within the Global Tech Excellence Awards evaluation framework.[2] [3]

Abstract

Xingyu Li is an emerging researcher affiliated with Taiyuan University of Technology whose scholarly work focuses on augmented reality and engineering applications. Available indexed records indicate participation in interdisciplinary research addressing risk emergence mechanisms and battery management systems through innovative computational approaches. The published contribution demonstrates engagement with contemporary scientific challenges and reflects early academic potential supported by recognized researcher identifiers and international indexing services. These characteristics provide an objective foundation for evaluation within the Young Scientist Award category while emphasizing research quality, transparency, and continued scholarly development.[1] [2] [3]

Keywords

Augmented Reality; Battery Management Systems; Quantum Mechanics; Engineering Research; Risk Analysis; Computational Engineering; Emerging Researcher; Scientific Innovation.

Introduction

Xingyu Li represents a new generation of researchers contributing to advanced engineering studies through interdisciplinary investigation. The available academic record highlights participation in internationally indexed research and demonstrates an interest in applying theoretical concepts to practical engineering challenges, supporting continued academic growth and professional recognition.[1] [2]

Research Profile

The research profile identifies Xingyu Li as an author indexed in Scopus with institutional affiliation to Taiyuan University of Technology. Persistent researcher identifiers through Scopus and ORCID improve transparency, facilitate scholarly verification, and support long-term accessibility of academic contributions within international research communities.[2] [3]

Research Contributions

The documented publication explores a quantum mechanics based mechanism for understanding risk emergence and its application in battery management systems. This interdisciplinary contribution integrates engineering principles with computational analysis, demonstrating innovative thinking and relevance to modern technological research and industrial applications.[1]

Publications

Current indexed records indicate one Scopus-listed publication associated with Xingyu Li. Although the publication portfolio is presently limited, the available article addresses an important engineering topic and establishes an initial foundation for future scholarly productivity, collaboration, and measurable research development within the international scientific community.[1] [2]

Research Impact

As an emerging researcher, Xingyu Li demonstrates research impact primarily through publication in an internationally indexed scientific journal. Continued dissemination of quality research, collaboration with broader academic networks, and accumulation of citations are expected to strengthen measurable scholarly influence over time.[1] [2]

Award Suitability

The available academic evidence supports consideration for the Young Scientist Award because it reflects early-stage scholarly achievement, recognized institutional affiliation, internationally indexed research output, and transparent researcher identification. Evaluation should remain based upon documented publications and objective academic verification rather than unverified performance claims.[1] [2] [3]

Conclusion

Xingyu Li has established an initial academic presence through internationally indexed engineering research supported by recognized researcher identifiers. Continued publication, collaboration, and scientific engagement are expected to strengthen future scholarly contributions, making the current profile a promising foundation for ongoing academic advancement and professional recognition.[1] [2]

References

  1. Li, X. (2026). Risk emergence mechanism based on quantum mechanics and application in battery management systems. Engineering Applications of Artificial Intelligence, Elsevier.
    https://www.sciencedirect.com/science/article/abs/pii/S0951832026003388?via%3Dihub
  2. Elsevier. (n.d.). Scopus author details: Xingyu Li, Author ID 60516971300. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=60516971300
  3. ORCID. (n.d.). Xingyu Li (ORCID: 0009-0003-1155-6645).
    https://orcid.org/0009-0003-1155-6645

Etienne Perre | Human Computer Interaction and Augmented Reality | Best Innovation Award

Prof. Etienne Perre | Human Computer Interaction and Augmented Reality | Best Innovation Award

Professor | Université Grenoble Alpes | France

Prof. Etienne Perret is an internationally recognized scholar in chipless Radio Frequency Identification (RFID), electromagnetic engineering, and microwave systems. With a distinguished research portfolio comprising 345 scientific documents, an h-index of 35, i10-index of 114, and over 5,740 citations, he stands among the foremost contributors to the global advancement of chipless RFID technologies. His pioneering work has shaped modern paradigms in identification, sensing, coding, and microwave-based signal processing.Dr. Perret’s research focuses on the design, optimization, and experimental realization of chipless RFID tags, hybrid and polarization-diverse coding methods UWB reader systems, RF encoding particles and group-delay–based encoding structures. His landmark publications such as hybrid-coded chipless tags, depolarizing tags for robust detection high-capacity polarization-insensitive tags and fully printable paper-based RFID systems are among the most cited works in the field each receiving between 150 and 400 citations. These contributions have provided the theoretical foundation and practical architectures enabling low-cost printable and flexible RFID solutions suitable for large-scale deployment.A notable part of his research explores RF sensing using silicon nanowires leading to breakthroughs in humidity sensing environmental monitoring and multifunctional RFID devices. His work on RCS magnitude-level coding noncommensurate transmission-line all-pass networks and analog signal processing further demonstrates his versatility across high-frequency electronics and electromagnetic engineering.Dr. Perret collaborates extensively with leading researchers including S. Tedjini A. Vena O. Rance, R. Nair, and others across Europe Australia and North America. His co-authored books and contributions to IEEE Magazines and Elsevier volumes continue to guide researchers engineers and industry practitioners.The societal impact of his research is profound enabling sustainable chipless and cost-effective identification technologies for logistics supply chain monitoring smart packaging structural health analysis and IoT sensing. His work accelerates the transition toward greener RFID solutions by eliminating semiconductor chips and promoting scalable printable technologies that benefit both industry and the environment.Dr. Perret remains a leading global voice advancing the science and engineering of next-generation RFID and wireless sensing systems.

Profiles: Googlescholar | Scopus

Featured Publications

1. Vena, A., Perret, E., & Tedjini, S. (2011). Chipless RFID tag using hybrid coding technique. IEEE Transactions on Microwave Theory and Techniques, 59(12), 3356–3364. Cited By: 404

2. Vena, A., Perret, E., & Tedjni, S. (2013). A depolarizing chipless RFID tag for robust detection and its FCC compliant UWB reading system. IEEE Transactions on Microwave Theory and Techniques, 61(8), 2982–2994. Cited By: 274

3.Vena, A., Perret, E., & Tedjini, S. (2012). High-capacity chipless RFID tag insensitive to the polarization. IEEE Transactions on Antennas and Propagation, 60(10), 4509–4515. Cited By: 261

4.Vena, A., Perret, E., & Tedjini, S. (2012). A fully printable chipless RFID tag with detuning correction technique. IEEE Microwave and Wireless Components Letters, 22(4), 209–211. Cited By: 209

5.Gupta, S., Parsa, A., Perret, E., Snyder, R. V., Wenzel, R. J., & Caloz, C. (2010). Group-delay engineered noncommensurate transmission line all-pass network for analog signal processing. IEEE Transactions on Microwave Theory and Techniques, 58(9), 2392–2407. Cited By: 194

The nominee’s pioneering work in Human–Computer Interaction and Augmented Reality bridges the gap between digital and physical worlds, enabling more intuitive and immersive user experiences. Their innovations contribute to advancing global technology, empowering industries, education, and society with next-generation interactive solutions.

ShihJung Juan | Human Computer Interaction and Augmented Reality | Best Researcher Award

Dr. ShihJung Juan | Human Computer Interaction and Augmented Reality | Best Researcher Award

Post Doctoral Researcher | National Taichung University of Science and Technology | Taiwan

Dr. Shihjung Juan is a dedicated researcher at the National Taichung University of Science and Technology, Taiwan, recognized for his scholarly contributions in the fields of knowledge management, tacit knowledge acquisition, and organizational learning behaviors. With a research portfolio comprising 8 peer-reviewed publications, 114 citations, and an h-index of 2, his work reflects a steadily growing influence within the global academic community. His studies frequently examine how individuals and organizations acquire share and utilize knowledge to enhance performance improve innovation capacity and foster sustainable competitive advantages in dynamic environments.A notable highlight of his academic contribution is his research on tacit knowledge acquisition and absorptive capability providing key insights into how knowledge seekers internalize experiential insights and convert them into higher work effectiveness. This line of inquiry contributes to the broader discourse on human resource development organizational capability building and the strategic role of knowledge in modern enterprises. His publications demonstrate methodological rigor with conceptual clarity and empirical depth that position his research as a valuable reference in management and organizational studies.Dr. Juan has collaborated with researchers across interdisciplinary domains strengthening research networks and helping advance collaborative learning and knowledge-sharing ecosystems. His co-authorship with scholars from diverse backgrounds reflects an openness to integrating multi-perspective approaches supporting both theoretical advancements and practical implications for businesses educational institutions and public sector organizations.Beyond academic publishing the societal relevance of his research lies in its potential to guide organizations in enhancing employee performance building adaptive cultures and navigating knowledge-driven challenges in the digital age. By focusing on how individuals develop absorptive capacity his work informs strategies for upskilling innovation management and cultivating learning-oriented workplaces.Overall Dr. Shihjung Juan’s scholarly trajectory showcases a commitment to advancing knowledge management research while contributing meaningful insights to support organizational growth human development and evidence-based managerial practices worldwide.

Profile:  Scopus

Featured Publications

1. Juan, S. (2025). The impact of tacit knowledge acquisition and absorptive capability on individual performance: From the knowledge seeker’s perspective. Journal of Knowledge Management.

Dr. Shihjung Juan’s work advances global knowledge management practices by revealing how tacit knowledge and absorptive capability enhance individual performance and organizational adaptability. His insights support evidence-based strategies that strengthen innovation, workforce development, and sustainable competitiveness across education, industry, and knowledge-driven societies.

Assoc Prof Dr. Farhana Sarker | Augmented Reality | Best Researcher Award

Publications

Systematic comparison between a research-grade EEG device and a consumer-grade BCI device for predicting consumer preference using an ML framework

  • Author: Ishtiaque, Farhan F.; Miya, Mohammad Tohidul Islam M.T.I.; Mashrur, Fazla Rabbi F.R.; Abdul Hamid, Abu Bakar A.B.; Al Mamun, Khandakar Abdulla K.A.
  • Journal: Multimedia Tools and Applications
  • Year: 2025

Development and performance evaluation of a Bengali-adapted mHealth app for early detection of impaired visual acuity

  • Author: JianBang Liu, Mei Choo Ang, Jun Kit Chaw, Kok Weng Ng, Ah-Lian Kor
  • Journal: Applied Intelligence
  • Year: 2025

An intelligent neuromarketing system for predicting consumers’ future choice from electroencephalography signals

  • Author: Fazla Rabbi Mashrur, Khandoker Mahmudur Rahman, Mohammad Tohidul Islam Miya, Ravi Vaidyanathan, Syed Ferhat Anwar, Farhana Sarker, Khondaker A Mamun
  • Journal: Physiology & behavior
  • Year: 2022

BCI-based Consumers’ choice prediction from EEG signals: an intelligent Neuromarketing framework

  • Author: Fazla Rabbi Mashrur, Khandoker Mahmudur Rahman, Mohammad Tohidul Islam Miya, Ravi Vaidyanathan, Syed Ferhat Anwar, Farhana Sarker, Khondaker A Mamun
  • Journal: Frontiers in human neuroscience
  • Year: 2022

Factors associated with low medication adherence in patients with Type 2 diabetes mellitus attending a tertiary hospital in Bangladesh

  • Author: Sheikh Mohammed Shariful Islam, Md Tauhidul Islam, Riaz Uddin, Tania Tansi, Shamim Talukder, Farhana Sarker, Khondaker Abdullah Al Mamun, Sasan Adibi, Lal B Rawal
  • Journal: Lifestyle Medicine
  • Year: 2021

Dr. Jianbang Liu | Augmented Reality | Best Faculty Award

Dr. Jianbang Liu | Augmented Reality | Best Faculty Award

Doctorate at Xinyu University, China

👨‍🎓 Profiles

Scopus

Orcid

Publications

Assessing the impact and development of immersive VR technology in education: Insights from telepresence, emotion, and cognition

  • Author: JianBang Liu, Mei Choo Ang, Jun Kit Chaw, Ah-Lian Kor, Kok Weng Ng, Meng Chun Lam
    Journal: Technological Forecasting and Social Change
    Year: 2025

Personalized emotion analysis based on fuzzy multi-modal transformer model

  • Author: JianBang Liu, Mei Choo Ang, Jun Kit Chaw, Kok Weng Ng, Ah-Lian Kor
    Journal: Applied Intelligence
    Year: 2025

The Emotional State Transition Model Empowered by Genetic Hybridization Technology on Human–Robot Interaction

  • Author: JianBang Liu, Mei Choo Ang, Jun Kit Chaw, Kok Weng Ng, Ah-Lian Kor
    Journal: IEEE Access
    Year: 2024

Emotion assessment and application in human–computer interaction interface based on backpropagation neural network and artificial bee colony algorithm

  • Author: JianBang Liu, Mei Choo Ang, Jun Kit Chaw, Ah-Lian Kor, Kok Weng Ng
    Journal: Expert Systems with Applications
    Year: 2023

Performance Evaluation of HMI based on AHP and GRT for GUI

  • Author: JianBang Liu, Mei Choo Ang, Jun Kit Chaw, Kok Weng Ng
    Journal: 2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)
    Year: 2022

Dr. Kais Belwafi | Augmented Reality | Best Researcher Award

Dr. Kais Belwafi | Augmented Reality | Best Researcher Award

Doctorate at University of Sharjah, United Arab Emirates

👨‍🎓 Profiles

Scopus

Orcid

Publications

A Vision Language Correlation Framework for Screening Disabled Retina

  • Authors: Hassan, T., Raja, H., Belwafi, K., Yousaf, J., Ghazal, M.
  • Journal: IEEE Journal of Biomedical and Health Informatics
  • Year: 2024

Neurological Disorder Diagnosis through Deep Residual Network-based EEG Signal Analysis

  • Authors: Jridi, A., Djemal, R., Belwafi, K.
  • Journal: 7th IEEE International Conference on Advanced Technologies, Signal and Image Processing, ATSIP
  • Year: 2024

Enhancing Circuit Authentication through Secure Isolation

  • Authors: Belwafi, K., Alshamsi, H., Ahmed, A., Shoufan, A.
  • Journal: Proceedings – IEEE International Symposium on Circuits and Systems
  • Year: 2024

Software Usability Testing Using EEG-Based Emotion Detection and Deep Learning

  • Authors: Gannouni, S., Belwafi, K., Aledaily, A., Aboalsamh, H., Belghith, A.
  • Journal: Sensors
  • Year: 2023

Light-Weight Security Protocol and Data Model for Chip-to-Chip Zero-Trust

  • Authors: Ahmed, A., Shoufan, A., Belwafi, K.
  • Journal: IEEE Access
  • Year: 2023