Dr. Xueting Luo | Wireless Tracking Awards | Best Researcher Award

Dr. Xueting Luo, School of Electronic and Information Engineering, Hebei University of Technology, China

Luo Xueting is a dedicated graduate student at Hebei University of Technology, specializing in Electronic Science and Technology with a focus on photoelectric communication. She previously studied at Tianjin University of Science and Technology, where she earned both her Master’s and Bachelor’s degrees in Electronic Information and Electronic Information Engineering, respectively, achieving impressive academic results and ranking in the top 8% and 10% of her class. Xueting’s research contributions include a published paper in the journal of Electronics on a large-bandwidth lithium niobate electro-optic modulator for frequency-division multiplexing RFID systems. She has actively participated in innovation and entrepreneurship competitions, earning multiple accolades for her team’s project on a thin film lithium niobate acousto-optic modulator. With nearly two years of internship experience at the Quanzhou Tianjin University Integrated Circuit and Artificial Intelligence Research Institute, she has gained practical skills in the production and testing of electro-optic modulators, contributing to several patented innovations. Proficient in both Chinese and English, Xueting is also skilled in various software tools for simulation and design. Outside of her academic pursuits, she enjoys music, playing badminton, basketball, and billiards, reflecting her diverse interests and well-rounded character.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award: Luo Xueting

Luo Xueting is an exemplary candidate for the Best Researcher Award, demonstrating a strong commitment to excellence in electronic science and technology, particularly in the field of photoelectric communication. Here are the key points that highlight his qualifications.

Education 🎓

Hebei University of Technology (2024 – Present)
- Graduate Major: Electronic Science and Technology
- Research Direction: Photoelectric Communication
Tianjin University of Science and Technology (2021 – 2024)
- Graduate Major: Electronic Information
- Research Direction: Photoelectric Communication
- Exam Results: 3.79 (87.89 average)
- Ranked in the top 8% of major
Tianjin University of Science and Technology (2017 – 2021)
- Undergraduate Major: Electronic Information Engineering
- Exam Results: 3.6 (86 average)
- Ranked in the top 10% of major
- Notable Scores:
  - Signal Processing Software Design: 92%
  - Digital Signal Processing: 94%
  - Digital Electronic Technology: 97%
  - DSP Principle and Application: 97%

Work Experience 💼

Intern
Quanzhou Tianjin University Integrated Circuit and Artificial Intelligence Research Institute (2023)
- Gained training and familiarity with the production and testing process of electro-optic modulators
- Authorized Patents:
  - Preparation Method of Internal Electrode Type Thin Film Lithium Niobate Electro-Optic Modulator: CN 116626922B
  - Waveguide Matrix Thin Film Lithium Niobate Electro-Optic Modulator: CN 116626923B
  - Multi-Mode Matrix Micro Nano Universal Fiber: 202321922225.3
- Patent Applications:
  - A Multi-Layer Nested Tapered Electrode Lithium Niobate Electro-Optic Modulator and Its Preparation Process: CN 116819806A
  - A Y-Waveguide Modulator Half-Wave Voltage Test System: CN 116840543A

Achievements 🏆

Publication:
- “Large-Bandwidth Lithium Niobate Electro-Optic Modulator for Frequency-Division Multiplexing RFID Systems” (2024)
College Students’ Innovation and Entrepreneurship Competition:
- Gold Medal in School Competition 🥇
- Gold Medal in Provincial Competition 🥇
- Bronze Medal in International Competition 🥉
- Contributed to the discussion and fabrication of a thin film lithium niobate acousto-optic modulator

Awards and Honors 🥇

Ranked in the top 8% of major in Graduate Studies at Tianjin University of Science and Technology
Ranked in the top 10% of major in Undergraduate Studies at Tianjin University of Science and Technology

Publication Top Notes:

Large-Bandwidth Lithium Niobate Electro-Optic Modulator for Frequency-Division Multiplexing RFID Systems

Assoc Prof Dr. Lijia Cao, Sichuan University of Science & Engineering, China

Cao Lijia, born on October 26, 1982, in Zigong, China, is an accomplished Associate Professor and the Associate Dean of the School of Computer Science and Engineering at Sichuan University of Science & Engineering. A distinguished scholar, Cao has published two books and over 100 peer-reviewed papers, contributing significantly to his field. His extensive research portfolio includes leading or participating in more than 30 scientific research programs, including those funded by the National Natural Science Foundation of China. His efforts have been recognized with awards for scientific and technological advancement. Cao also serves as a reviewer for prestigious international journals and conferences, such as IEEE Transactions on Industrial Informatics (TII), IEEE Transactions on Aerospace and Electronic Systems (TAES), AES Conference on Test and Evaluation (AESCTE), IET Control Theory and Applications (CTA), and the International Federation of Automatic Control (IFAC). His recent research interests focus on navigation and control for unmanned aerial vehicles (UAVs), computer vision, and artificial intelligence technology.

Professional Profile

ORCID

Professional Overview 🚀🖥️:

Professor Cao has made significant contributions to the field of computer science and engineering. He has authored 2 books and published over 100 peer-reviewed papers. His research has led him to participate in and lead more than 30 scientific research programs, including projects funded by the National Natural Science Foundation of China. For his efforts, he has received awards for scientific and technological advancements. Additionally, he serves as a reviewer for various prestigious international journals and conferences, such as IEEE TII, IEEE TAES, AESCTE, IET CTA, and IFAC.

Research Interests 🤖✈️:

His recent research interests include navigation and control for unmanned aerial vehicles (UAVs), computer vision, and artificial intelligence technology.

Education 🎓:

Ph.D. Degree in Control Science and Engineering from Xi’an Research Institute of Hi-Tech, Xi’an, China (04.2008 – 06.2012)
M.S. Degree in Precision Instrument from Xi’an Research Institute of Hi-Tech, Xi’an, China (09.2005 – 03.2008)
B.E. Degree in Automatic Test and Control from Xi’an Research Institute of Hi-Tech, Xi’an, China (09.2001 – 08.2005)

Work Experience 🏫:

Associate Professor, Sichuan University of Science & Engineering, Zigong, China (12.2018 – Present)
Lecturer, Sichuan University of Science & Engineering, Zigong, China (04.2016 – 11.2018)
Lecturer, Xi’an Research Institute of Hi-Tech, Xi’an, China (07.2012 – 04.2016)

Professor Cao Lijia continues to influence the fields of UAV navigation, computer vision, and artificial intelligence through his dedicated research and academic contributions.