Guowei Zou
PhD Student in Computer Science
Sun Yat-Sen University
School of Computer Science and Engineering
Research Area: Embodied Intelligence, Reinforcement Learning, Robotics Control
Biography
I am currently a PhD student at Sun Yat-Sen University, School of Computer Science and Engineering, specializing in Embodied Intelligence with a focus on Reinforcement Learning and Generative Models for Robotics Control. Previously, I worked as a Hardware Engineer at Huawei Technologies Co., Ltd. and during my Master's degree, I was mainly dedicated to the application of artificial intelligence in 3D display and VR/AR technologies.
My research interests lie at the intersection of artificial intelligence and robotics, particularly in developing intelligent agents that can effectively interact with the physical world through advanced learning algorithms and control systems.
Research Interests
Embodied Intelligence
Developing intelligent agents that can perceive, reason, and act in physical environments through robotics systems.
Reinforcement Learning
Advanced algorithms for decision-making and control in robotics and autonomous systems.
Generative Models for Robotics
Applying generative models for robotics control and motion planning in complex environments.
Publications
For a complete list of publications, please visit my Google Scholar profile.
Education & Work Experience
PhD Student in Computer Science and Technology
Sun Yat-Sen University
2024 - Present
Supervisor: Prof. Hejun Wu
Specialization: Embodied Intelligence, Reinforcement Learning, Robotics Control
Hardware Engineer
Huawei Technologies Co., Ltd.
2023 - 2024
Department: Consumer BG - Display & Touch Division
Hardware development and engineering, display technologies research
Master of Engineering in Electronic Science and Technology
Sun Yat-Sen University
2020 - 2023
Supervisor: Assoc. Prof. Zong Qin
Laboratory: State Key Laboratory of Optoelectronic Materials and Technology (OEMT)
Bachelor of Engineering in Electronic Information Engineering
China Agricultural University
2016 - 2020
Honor: Beijing Excellent Undergraduate Thesis (2020, 0.9%)
Projects
Research Experience
Field Sequential Color Display (CSOT Collaboration)
2022 - 2023
Contributed to hardware implementation of field sequential color display systems for advanced display technologies.
Virtual Reality AR-HUD Project (Huawei Technologies Co., Ltd. Collaboration)
November 2021 - June 2023
Developed AI-based image quality enhancement for Picture Generation Unit (PGU) in Augmented Reality Head-Up Display systems. Focused on real-time image processing and quality optimization.
Under-Display Camera/Sensor Project (Vivo Collaboration)
November 2021 - June 2023
Designed under-screen sensor modeling (Camera, IR, ALS) and implemented deep learning-based signal enhancement for full-screen mobile phones.
National Key R&D Plan: 3D Display Key Common Technology
September 2020 - June 2023
Enhanced 3D display resolution using deep learning image algorithms and advanced signal processing techniques. Contributed to the development of next-generation display technologies.
Selected Projects
Soil Monitoring System
Advanced soil monitoring device for real-time measurement of soil moisture and multi-layer temperature. Features custom-developed capacitive sensors, wireless data transmission, and comprehensive analysis software.
Technologies: Embedded Systems, Sensor Development, Wireless Communication, Data Analysis
Robotic Arm Control Algorithms
Designed and implemented advanced control algorithms for robotic arm systems during internship. Focused on precision control, trajectory planning, and real-time response optimization for industrial applications.
Technologies: Control Systems, Robotics, Algorithm Design, Real-time Systems
Autonomous Fruit Picking Robot
Developed a fully autonomous agricultural robot system with self-designed harvesting cart and robotic arm. The system features computer vision for fruit detection, autonomous path planning, and precise mechanical control for fruit harvesting.
Technologies: Computer Vision, Robotics, Autonomous Systems, Machine Learning
Intelligent Parking Guidance System
Comprehensive intelligent parking system integrating vehicle guidance, EV charging station management, and fire safety monitoring. The system provides real-time parking guidance through mobile applications and display screens.
Technologies: IoT, Mobile Development, Safety Systems, Smart City Solutions
Honors & Awards
- Best Paper Award - PGWS 2021, Hong Kong
- Beijing Excellent Undergraduate Thesis - 2020 (0.9%, 27/3000)
- China Agricultural University Excellent Undergraduate Thesis - 2020 (0.67%, 2/300)
Conference Presentations
- SID Display Week 2022 (Society for Information Display Display Week) - Oral Presentation, California, USA
- ICDT 2022 (International Conference on Display Technology) - Oral Presentation, Fuzhou, China
- IDMC 2022 (International Display Manufacturing Conference) - Poster Presentation, Taipei, China
- PGWS 2021 (Cross-Strait Postgraduate Workshop on Display Technology) - Oral Presentation, Hong Kong, China (Best Paper Award)
Contact
Address
School of Computer Science and Engineering
Sun Yat-Sen University
No.132, Waihuan East Road, University Town
Panyu District, Guangzhou, Guangdong Province, China