Xulei Cao | Computer Science | Research Excellence Award

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Mr. Xulei Cao | Computer Science | Research Excellence Award

University of Science and Technology of China | China

Mr. Xulei Cao research centers on advancing intelligent communication systems, large-scale machine learning, and adaptive networked environments, with a primary emphasis on vehicular ad hoc networks (VANETs), device–edge–cloud collaboration, and large language models. His work explores street-centric and microtopology-based routing strategies to address the challenges of dynamic mobility, frequent topology changes, and complex urban communication environments, proposing opportunistic routing protocols that leverage link correlation to enhance reliability, reduce packet loss, and optimize end-to-end performance. He has contributed to routing solutions grounded in urban road structure awareness, improving scalability and robustness in dense vehicular networks and supporting next-generation intelligent transportation systems. In parallel, his research extends into intelligent computing frameworks that integrate device, edge, and cloud layers to enable efficient distributed learning, resource-aware decision-making, and latency-sensitive AI applications. He also investigates algorithmic innovation within large language models, emphasizing scalability, deployment efficiency, and real-world applicability. Additionally, his work on biometric recognition, including palmprint feature extraction and direction coding, demonstrates expertise in pattern recognition and vision-based authentication systems. Supported by growing scholarly recognition, his work has been cited 212 times overall, including 101 citations since 2020, with an h-index of 3 and an i10-index of 2, underscoring the increasing impact and relevance of his contributions to networking, artificial intelligence, and intelligent mobility research.

Citation Metrics (Google Scholar)

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i10-index
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🟦 Citations    🟥 i10-index    🟩 h-index


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Featured Publications

 

Qiusong Liang | Engineering | Best Researcher Award

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Ms. Qiusong Liang | Engineering | Best Researcher Award

Northeast Forestry University | China

Ms. Qiusong Liang is a promising mechanical engineering researcher whose work focuses on advanced simulation, optimization, and design of electro-hydraulic and electromechanical systems. Her research emphasizes multi-objective optimization, structural dynamics, and fluid–structure interaction analysis to enhance the performance and reliability of servo and direct-drive valve mechanisms. She skillfully integrates computational tools such as ANSYS, SolidWorks, Maxwell, and AMESim for high-precision modeling and simulation, contributing significantly to innovations in flow control mechanisms, torque motor optimization, and cavitation noise reduction in hydraulic systems. Her recent studies explore the dynamic characteristics of torque motors and the coupling effects between electromagnetic and fluid systems, leading to improved high-response servo valve technologies for industrial and military applications. Ms. Liang’s research excellence and innovative approach have been recognized through publications in internationally indexed journals and notable contributions to engineering design projects. She maintains an active research profile with Scopus- and Google Scholar–indexed publications, accumulating documented citations and a growing h-index that reflect her rising academic influence in the field of mechanical system optimization and applied simulation engineering. Her commitment to applied research, precision design, and interdisciplinary collaboration has earned her recognition as a recipient of the Best Researcher Award, highlighting her as one of the emerging leaders in smart mechanical systems and sustainable automation technologies.

Publication Profile

Orcid

Featured Publications

  • Zhang, J., Liang, Q., Sun, J., Yan, B., Hu, Z., & Sun, W. (2025, October 29). Multi-objective optimization of torque motor structural parameters in direct-drive valves based on genetic algorithm. Actuators, 14(11), 527.

Abdelmoaty Mahmoud | Computer Science | Best Research Article Award

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Alexandros Gazis| Software Engineering | Best Researcher Award

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Luigi Bibbo’| Engineering | Best Researcher Award

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Dr. Luigi Bibbo’| Engineering | Best Researcher Award

Research Fellow at Mediterranea University of Reggio Calabria, Italy

Luigi Bibbò is an accomplished researcher with a robust background in electronic and computer engineering, specializing in fields such as sensors, photonics, nanotechnology, and artificial intelligence. He has held various research positions across prestigious institutions, including the Mediterranean University of Reggio Calabria, the University of Florence, and Shenzhen University. His work spans critical areas like big data analysis, biomedical applications, and advanced technologies for climate change adaptation and healthcare. With a Ph.D. in Electronic and Computer Engineering and extensive project leadership experience, Dr. Bibbò has made significant contributions to both academic research and practical applications in his field.

professional profile📖

ORCID

Education 🎓

Dr. Luigi Bibbò has a robust educational background in electronic and computer engineering, with a focus on biomedical applications and photonic technologies. He earned his PhD in Electronic and Computer Engineering from the Second University of Naples in January 2015, under the guidance of Prof. Luigi Zeni. His doctoral thesis centered on the development of sensors based on plasmon resonance in polymer optical fibers and photonic crystals. This research involved the design, fabrication, and implementation of surface plasmon resonance (SPR) sensors for both biological and chemical detection, utilizing advanced techniques such as sputtering, spin-coating, and e-beam lithography. Prior to his PhD, Dr. Bibbò obtained a Master’s degree in Biomedical Engineering from Federico II University of Naples in July 2009. His master’s thesis focused on the fabrication and characterization of organic semiconductor-based organic field-effect transistors (OFET) for biomedical applications, showcasing his early interest in the intersection of electronics and biology. Dr. Bibbò also holds a three-year degree in Biomedical Engineering from Federico II University of Naples, completed in June 2006. His undergraduate thesis explored innovative technologies for cardiac diagnosis, specifically the application of multislice computed tomography to coronary arteries. This strong foundation in biomedical engineering was further validated when he passed the state exam for professional qualification in November 2010.

work Experience💼

Dr. Luigi Bibbò has an extensive background in research and academia, marked by a diverse range of experiences in various cutting-edge fields. Since April 2024, he has been a Research Fellow at the Mediterranean University of Reggio Calabria, where he is actively involved in big data analysis and forecasting systems as part of the TECH4YOU project, focusing on technologies for climate change adaptation and improving the quality of life. Prior to this, from March 2023 to March 2024, Dr. Bibbò was a Research Fellow at the University of Florence’s Industrial Engineering Department. Here, he contributed to the design, development, and validation of robotic technologies, IoT, and artificial intelligence for biomedical applications under the “Pharaon Project.” From August 2019 to August 2022, Dr. Bibbò served as an RTDA at the Mediterranean University of Reggio Calabria, where he led a project aimed at creating a prototype for the localization, tracking, and monitoring of elderly individuals in indoor environments. Earlier in 2019, he worked as a Research Fellow at the Nanophotonics Research Center at Shenzhen University in China, focusing on OAM beam generation and reception. His international experience also includes a postdoctoral research position at the College of Electronic Science and Technology, Shenzhen University, from April 2016 to November 2018, where he led the development of innovative devices combining plasmonic nanoparticles with a tunable dielectric matrix.

Research Focus🔎

Dr. Luigi Bibbò is a seasoned researcher with a strong background in Electronic and Computer Engineering, particularly in the fields of sensors, photonics, and biomedical engineering. His research spans a wide array of cutting-edge technologies, including big data analysis, forecasting systems, and the development of robotic technologies, IoT, and Artificial Intelligence (AI) for biomedical applications. Dr. Bibbò’s work has significantly contributed to advancements in areas such as the creation of integrated systems for monitoring and tracking elderly individuals in indoor environments, as well as the design and development of innovative devices utilizing plasmonic nanoparticles and tunable dielectric matrices.

Awards and honors🏆

Dr. Luigi Bibbò, an accomplished researcher and academic in the fields of electronic and computer engineering, has been recognized with several prestigious awards and honors throughout his career. Notably, he was awarded the position of Research Fellow at the Mediterranean University of Reggio Calabria for his significant contributions to big data analysis and forecasting systems as part of the TECH4YOU project, which focuses on technologies for climate change adaptation and quality of life improvement. His expertise in designing and developing innovative robotic technologies, IoT, and artificial intelligence for biomedical applications led to his recognition as a leading researcher in the Pharaon Project. Dr. Bibbò’s pioneering work in the creation of a prototype for an integrated system for tracking and monitoring elderly individuals in indoor environments has also garnered attention, underscoring his commitment to enhancing healthcare through advanced technology.

Conclusion✅

Dr. Luigi Bibbò is a strong candidate for the Research for Best Researcher Award, given his extensive interdisciplinary research experience, innovative contributions to biomedical engineering and climate change technologies, and his international collaborations. To further strengthen his candidacy, focusing on increasing his publication output in high-impact journals, leading major grant-funded projects, and enhancing his outreach activities would be beneficial. Overall, his achievements and potential make him a worthy contender for this prestigious award.

📚Publications to Noted

  • Title: “AR Platform for Indoor Navigation: New Potential Approach Extensible to Older People with Cognitive Impairment”
    Journal: BioMedInformatics
    Year: 2024
    Date: June 24
    DOI: 10.3390/biomedinformatics4030087
    Source: Crossref
    Citations: Not provided
  • Title: “Human Activity Recognition (HAR) in Healthcare”
    Journal: Applied Sciences
    Year: 2023
    Date: December 6
    DOI: 10.3390/app132413009
    Source: Crossref
    Citations: Not provided
  • Title: “Emotional Health Detection in HAR: New Approach Using Ensemble SNN”
    Journal: Applied Sciences
    Year: 2023
    Date: March 3
    DOI: 10.3390/app13053259
    Source: Crossref
    Citations: Not provided
  • Title: “An Overview of Indoor Localization System for Human Activity Recognition (HAR) in Healthcare”
    Journal: Sensors
    Year: 2022
    Date: October 23
    DOI: 10.3390/s22218119
    Source: Crossref
    Citations: Not provided
  • Title: “MEMS and AI for the Recognition of Human Activities on IoT Platforms”
    Publication Type: Book Chapter
    Year: 2022
    DOI: 10.1007/978-3-031-24801-6_6
    Source: Crossref
    Citations: Not provided
  • Title: “High-Speed Amplitude Modulator with a High Modulation Index Based on a Plasmonic Resonant Tunable Metasurface”
    Journal: Applied Optics
    Year: 2019
    Date: April 1
    DOI: 10.1364/AO.58.002687
    Source: Crossref
    Citations: Not provided