Assoc. Prof. Dr. Yuan Li | Optical Network | Best Researcher Award

Assoc. Prof. Dr. Yuan Li | Optical Network | Best Researcher Award

Assoc. Prof. Dr. Yuan Lil, Shaanxi University of Technology, China

Assoc. Prof. Dr. Yuan Li is an accomplished researcher specializing in optical engineering, particularly laser-matter interactions. She received her Ph.D. in Optical Engineering from Xi’an Technological University in June 2023. Dr. Li’s work focuses on understanding and advancing laser technologies, with applications spanning material science, photonics, and precision engineering. She joined Shaanxi University of Technology in July 2023, where she continues her groundbreaking research and contributes to academic excellence. Dr. Li’s innovative approach and dedication to her field make her a rising star in optical engineering.

Professional Profile

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Suitability for Best Researcher Award

Assoc. Prof. Dr. Yuan Li’s pioneering research in optical engineering positions her as a strong candidate for the Best Researcher Award. Her doctoral work on laser-matter interactions has laid the foundation for advancements in photonics and material science. At Shaanxi University of Technology, she continues to push the boundaries of laser technology, demonstrating both innovation and academic rigor. Despite her early career, Dr. Li’s contributions have significant implications for the future of optical engineering, aligning perfectly with the award’s criteria.

Education

Dr. Yuan Li completed her Ph.D. in Optical Engineering at Xi’an Technological University in June 2023. Her doctoral research explored laser-matter interactions, contributing to advancements in photonics and material science. During her academic journey, Dr. Li developed a strong foundation in optical technologies, experimental techniques, and theoretical modeling. Her education reflects her commitment to pushing the boundaries of knowledge in optical engineering.

Experience

Dr. Yuan Li began her professional career at Shaanxi University of Technology in July 2023, where she serves as an Associate Professor. Her responsibilities include conducting cutting-edge research in laser technologies and mentoring students in optical engineering. Despite her recent appointment, Dr. Li has already demonstrated a remarkable ability to translate complex theories into practical applications, fostering innovation and collaboration within her department.

Awards and Honors

Although Dr. Yuan Li’s career is in its early stages, her exceptional research in laser-matter interactions has garnered recognition within the academic community. She has been invited to present her findings at notable conferences and has contributed to impactful publications in optical engineering. Her achievements reflect her potential to emerge as a leader in her field.

Research Focus

Dr. Yuan Li’s research focuses on laser-matter interactions, with an emphasis on understanding how lasers influence material properties at the microscopic level. Her work has applications in photonics, material processing, and precision engineering. By combining theoretical insights with experimental validation, Dr. Li aims to develop innovative laser technologies that address modern engineering challenges.

Publication Top Notes

  • Article: Quantifying Uncertainty in Laser-Induced Damage Threshold for Cylindrical Gratings
    • Year: 2024
  • Article: Characterization of Damage Morphology of Structural SiO₂ Film Induced by Nanosecond Pulsed Laser
    • Date: 2022
  • Article: A Study of Resolution Improvement in Noncoherent Optical Coherence Imaging
    • Year: 2022
  • Article: Optical Film Damage Classification Based on Neural Network
    • Year: 2022
  • Article: Optical and Laser-Induced Damage Characterization of Porous Structural Silicon Oxide Film with Hexagonal Period by Nanoimprint Lithography
    • Year: 2022

 

Dr. Daniel Adanza | Optical Networks Awards | Best Researcher Award

Dr. Daniel Adanza | Optical Networks Awards | Best Researcher Award

Dr. Daniel Adanza, Centre Tecnologic De Telecomunicacions De Catalunya, Spain

Dr. Daniel Adanza, from the Centre Tecnologic De Telecomunicacions De Catalunya in Spain, holds a Ph.D. in Artificial Intelligence from the University of Carlos III 🎓. He has extensive research experience in Data Mining and Data Science 🔬, currently working as a Post-doc Researcher at the University of West England. His past roles include Research Associate at Cardiff University and KTP Associate at the University of Exeter 🛠️. Proficient in Natural Language Processing, Time Series Analysis, and Machine Learning, Dr. Adanza also has a solid background in development, having worked as a Graduate Java Developer and Back-end Developer 💻. He is skilled in Node.js, Angular2, and various other technologies 🔧. Dr. Adanza holds multiple certifications, including the Innovation Canvas by Innovate UK and an Award Level 5 in Leadership and Project Management.

🌐 Professional Profile:

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🎓 Educational Background

  • Ph.D. in Artificial Intelligence from University of Carlos III
  • Master’s in Research and Communications Technologies from Univerza v Mariboru

🔬 Research Experience

  • Post-doc Researcher in Data Mining and Data Science, University of West England (January 2022 – Present)
  • Research Associate in Artificial Intelligence, Cardiff University (April 2021 – January 2022)
  • KTP Associate in Data Science, University of Exeter (September 2019 – April 2021)

🛠️ Relevant Technologies Used

  • Technologies: Natural Language Processing, Time Series Analysis, Data Engineering, Machine Learning, Data Mining, Genetic Algorithms
  • Programming Languages: Python, R

💻 Work Experience as Developer

  • Graduate Java Developer, Apak Group Limited (February 2019 – July 2019)
  • Back-end Developer, Memorandum Multimedia (February 2018 – July 2018)
  • Web Developer, T-systems Iberia (September 2016 – September 2017)

🔧 Technologies Used

  • Node.js, Angular2, MongoDB, JavaScript, jQuery, Jade, PHP, MySQL, Java, Spring, Hibernate, JSF, JSP, Test-Driven Development, HQL, GIT

🏅 Certifications

  • Innovation Canvas by Innovate UK
  • Award Level 5 in Leadership and Project Management certified by BCS
  • Certificate of Learning and Teaching in Higher Education by the University of Exeter
  • Knowledge Transfer Partnership Certificate by Innovate UK

Publication Top Notes:

  • Enabling traffic forecasting with cloud-native SDN controller in transport networks
    • Year: 2024
  • An automated machine learning approach for classifying infrastructure cost data
    • Year: 2023
  • Demonstration of an Intent-Based Networking for End-to-End Packet Optical Cloud-native SDN Orchestration
    • Year: 2023
  • Grouping Intent-based Packet-Optical Connectivity Services
    • Year: 2023
  • An Automated Method for Extracting and Analyzing Railway Infrastructure Cost Data
    • Year: 2023