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Hi, I'm Lu Kaiyuan. I have a strong background in electronic and information engineering, complemented by ongoing advanced studies in electronic engineering and artificial intelligence. I enjoy exploring cutting-edge technologies, especially in areas like signal processing, AI models, and computer vision. Over the years, I've gained hands-on experience with various programming languages and AI tools, working on projects involving analog-to-digital conversion and satellite super-resolution imaging. I'm passionate about applying innovative solutions to real-world problems and constantly improving my skills. I like to blend my technical knowledge with practical applications, such as building web services using AWS and leveraging APIs for practical automation tasks. Outside of work and study, I enjoy playing Go, running long distances, and cooking, which help keep me balanced and energized.…Hi, I'm Lu Kaiyuan. I have a strong background in electronic and information engineering, complemented by ongoing advanced studies in electronic engineering and artificial intelligence. I enjoy exploring cutting-edge technologies, especially in areas like signal processing, AI models, and computer vision. Over the years, I've gained hands-on experience with various programming languages and AI tools, working on projects involving analog-to-digital conversion and satellite super-resolution imaging. I'm passionate about applying innovative solutions to real-world problems and constantly improving my skills. I like to blend my technical knowledge with practical applications, such as building web services using AWS and leveraging APIs for practical automation tasks. Outside of work and study, I enjoy playing Go, running long distances, and cooking, which help keep me balanced and energized.

Lu Kaiyuan

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Hi, I'm Lu Kaiyuan. I have a strong background in electronic and information engineering, complemented by ongoing advanced studies in electronic engineering and artificial intelligence. I enjoy exploring cutting-edge technologies, especially in areas like signal processing, AI models, and computer vision. Over the years, I've gained hands-on experience with various programming languages and AI tools, working on projects involving analog-to-digital conversion and satellite super-resolution imaging. I'm passionate about applying innovative solutions to real-world problems and constantly improving my skills. I like to blend my technical knowledge with practical applications, such as building web services using AWS and leveraging APIs for practical automation tasks. Outside of work and study, I enjoy playing Go, running long distances, and cooking, which help keep me balanced and energized.…Hi, I'm Lu Kaiyuan. I have a strong background in electronic and information engineering, complemented by ongoing advanced studies in electronic engineering and artificial intelligence. I enjoy exploring cutting-edge technologies, especially in areas like signal processing, AI models, and computer vision. Over the years, I've gained hands-on experience with various programming languages and AI tools, working on projects involving analog-to-digital conversion and satellite super-resolution imaging. I'm passionate about applying innovative solutions to real-world problems and constantly improving my skills. I like to blend my technical knowledge with practical applications, such as building web services using AWS and leveraging APIs for practical automation tasks. Outside of work and study, I enjoy playing Go, running long distances, and cooking, which help keep me balanced and energized.

Available to hire

Sydney, Australia

Hi, I’m Lu Kaiyuan. I have a strong background in electronic and information engineering, complemented by ongoing advanced studies in electronic engineering and artificial intelligence. I enjoy exploring cutting-edge technologies, especially in areas like signal processing, AI models, and computer vision. Over the years, I’ve gained hands-on experience with various programming languages and AI tools, working on projects involving analog-to-digital conversion and satellite super-resolution imaging.

I’m passionate about applying innovative solutions to real-world problems and constantly improving my skills. I like to blend my technical knowledge with practical applications, such as building web services using AWS and leveraging APIs for practical automation tasks. Outside of work and study, I enjoy playing Go, running long distances, and cooking, which help keep me balanced and energized.

Skills

Experience Level

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Beginner

Java

Beginner

Language

English

Advanced

Work Experience

Summer Research (Individual Project) at Stevens Institute of Technology

August 31, 2023 - July 20, 2025

Conducted research on modulo sampling and analog-to-digital sampling algorithms. Gained familiarity with mathematical derivations and formulas related to infinite perception. Developed basic and Root MUSIC algorithms to derive DoA and MSE results. Experimented with changing parameters such as the order K of sampling to observe performance changes. Summarized findings and compiled reports on the research outcomes.

Research Intern at Spaceborne Computer Center, Institute of Intelligent Computing, Chinese Academy of Sciences

December 31, 2024 - July 20, 2025

Studied and implemented cutting-edge artificial intelligence models and computer vision algorithms focusing on satellite super-resolution imaging, including diffusion models and transformers. Used PyTorch to implement and optimize various super-resolution algorithms, such as Sinsr. Collected training images and trained several YOLO models for image recognition and classification of super-resolution results, evaluating performance based on classification probabilities.

Research Participant at Stevens Institute of Technology

August 31, 2023 - July 20, 2025

Independently studied modulo sampling and infinite perception mathematics. Developed and implemented basic MUSIC and Root MUSIC algorithms, derived direction of arrival (DoA) and mean squared error (MSE) results. Experimented with parameters of analog-to-digital conversion algorithms to evaluate performance and documented findings in reports.

Research Participant at Spaceborne Computer Center, Institute of Intelligent Computing, Chinese Academy of Sciences

December 31, 2024 - July 20, 2025

Researched state-of-the-art AI models and computer vision algorithms for satellite super-resolution imaging, specifically diffusion models and transformers. Used PyTorch to implement and optimize various super-resolution algorithms. Collected training data, trained YOLO models for image recognition and classification, and evaluated models based on classification probabilities.