Peng Lyu
PhD Student in Artificial Intelligence
Academic Impact
I am a PhD student in Artificial Intelligence at Jeonju University, South Korea, with a deep passion for making AI systems more transparent, interpretable, and efficient. My research focuses on neural architecture design and intelligent sensing systems.
Research Focus
Global Times
- 🇺🇸 USA (ET)--:--
- 🇨🇳 China--:--
- 🇰🇷 S. Korea--:--
Research Interests
Exploring cutting-edge AI technologies to advance our understanding of artificial intelligence
Explainable Artificial Intelligence
Developing transparent and interpretable AI systems that enhance trust and accountability in decision-making processes, focusing on model interpretability and ethical AI deployment.
Agricultural Intelligence
Creating intelligent monitoring and prediction systems for livestock farming, particularly non-invasive broiler weight estimation using machine learning algorithms and IoT networks.
Structural Health Monitoring
Developing AI-driven predictive models for building and bridge health assessment, utilising stress-strain relationship modelling and automated analysis tools.
Computer Vision
Advancing image restoration and enhancement techniques, including novel approaches for image dehazing using recursive gated convolution networks and U-Net architectures.
Industrial Digitalization
Investigating digital twin technologies and AI applications in industrial processes, exploring digital maturity frameworks for industrial transformation.
Machine Learning Analytics
Developing advanced clustering algorithms, anomaly detection methods, and time-series prediction models for real-time monitoring applications across multiple domains.
Publications
Selected publications and research contributions
Application of Machine Learning Algorithms for On-Farm Monitoring and Prediction of Broilers' Live Weight: A Quantitative Study Based on Body Weight Data
Peng Lyu, Jeongik Min, Juwhan Song
Agriculture (2023)
A comprehensive study developing non-invasive automatic broiler weight estimation and prediction methods using machine learning algorithms. The research addresses high labour costs and stress responses in large-scale broiler production through innovative clustering and anomaly detection techniques.
Efficient Dehazing with Recursive Gated Convolution in U-Net: A Novel Approach for Image Dehazing
Zhibo Wang, Ju Jia, Peng Lyu, Jeongik Min
Journal of Imaging (2023)
A novel image dehazing method leveraging recursive gated convolution mechanisms within U-Net architecture. The approach demonstrates superior performance in removing atmospheric haze whilst maintaining image quality and detail preservation.
Enhancing Broiler Weight Estimation through Gaussian Kernel Density Estimation Modeling
Peng Lyu, Research Collaborators
In Preparation (2023)
Advanced methodological improvements to broiler weight estimation using Gaussian kernel density estimation techniques. This work extends the machine learning framework for agricultural monitoring applications.
AI-Driven Structural Health Monitoring System for Bridge Infrastructure
Peng Lyu, SHM Research Team
Engineering Applications of Artificial Intelligence (2024)
Development of intelligent structural health monitoring systems using neural networks for stress-strain relationship prediction. The research focuses on automated analysis tools for infrastructure safety management.
Digital Transformation in Industrial Processes: AI Applications and Maturity Assessment
Peng Lyu, Industrial Research Group
Korea Institute of Enterprise Architecture Conference (2022)
Investigation of digital twin technologies and AI applications in industrial digitalization processes. The work explores digital maturity frameworks and emerging technologies for industrial transformation.
Explainable AI Systems for Agricultural Intelligence: Transparency in Livestock Monitoring
Peng Lyu, XAI Research Team
Computers and Electronics in Agriculture (2024)
Comprehensive framework for developing transparent and interpretable AI systems in agricultural applications, with particular focus on livestock monitoring and precision farming technologies.
Projects
Research projects and software development
A-Chen AI Companion
A bespoke AI chat companion developed as a WeChat Mini-program, designed to navigate platform regulations whilst delivering a polished user experience.
- Successfully launched an AI application by strategically repositioning its core function to comply with platform policies for individual developers.
- Engineered a pixel-perfect, custom UI, resolving complex CSS layout conflicts related to dynamic navigation bars and device compatibility.
Longcheng Revenue Booster
An intelligent, real-time data analysis tool designed to help private hire drivers in Taiyuan optimise their fare strategies and boost earnings.
- Successfully deployed a full-stack Vue.js and Flask application onto an entirely free-tier cloud infrastructure.
- Resolved complex cross-platform networking issues, including a persistent IPv6 routing fault between cloud providers.
Python Code Peer Grading System
A real-time, interactive EdTech platform built to facilitate anonymous peer evaluation of coding exercises in undergraduate programming courses.
- Developed a real-time web application using React and Firebase to facilitate interactive peer reviews for undergraduate Python courses.
- Engineered a dual-role architecture (Teacher/Student) with synchronized state management for seamless live-classroom orchestration.
Teaching
Courses and educational activities
COMP1001: Computer Thinking and Python Programming
Spring 2025
Fundamental concepts of computational thinking and Python programming. Course includes practical implementations and problem-solving approaches for both Korean and international students, covering programming basics, data structures, and algorithmic thinking.
AI5001: Artificial Intelligence Seminar
Various 2021-2024
Advanced topics in artificial intelligence including recent research developments, paper discussions, and project presentations. Focus on explainable AI, machine learning applications, and emerging technologies.
BDAI3001: Big Data and AI Applications
Spring 2023
Introduction to big data analytics and AI applications in industry. Covers fundamental concepts, practical challenges, and emerging trends in artificial intelligence deployment.
GRAD7001: Research Methods in AI
Various 2023-2024
Advanced research methodologies for AI studies, including academic writing, paper analysis, and thesis preparation. Includes translation services and academic support for international students.
Seminars & Events
Academic seminars and workshops
Upcoming Events
AI Research Lab Weekly Seminar
2025-04-11 • 15:00-17:00
Jeonju University AI Research Center
Speaker: Research Lab Members
Weekly research presentations by lab members covering latest developments in explainable AI systems and agricultural monitoring applications.
Register NowInternational Graduate Student Cultural Exchange
2025-04-25 • 14:00-17:00
Jeonju University International Center
Regular cultural exchange programme for international students including language exchange and research presentations. Average participation of 30+ students from Korea, China, Vietnam, and Cambodia.
Register NowPython Programming Workshop for Bilingual Education
2025-05-15 • 10:00-16:00
Jeonju University Computer Lab
Intensive workshop for undergraduate students covering computer thinking and Python programming, delivered in both Korean and English for international accessibility.
Register NowPast Events
Korea Institute of Enterprise Architecture Conference
2022-11-11
Presented research on digital twin technologies and AI applications in industrial digitalization. Delivered both plenary and breakout session presentations on emerging technologies for industrial transformation.
AI Education Exchange Programme
2023-03-15
Exchange lecturer programme addressing key challenges in AI education. Delivered 3 trial lectures (45 minutes each) and 1 major presentation to 500-person auditorium on AI curriculum development.
Structural Health Monitoring AI Workshop
2023-06-30
Workshop on developing AI engines for structural health monitoring using 3D linear finite element analysis results. Collaborative project between AI and Civil Engineering departments.
Background
Education and professional experience
Education
PhD in Artificial Intelligence
Jeonju University
2023 - Present • South Korea
Focus on explainable artificial intelligence (XAI), agricultural intelligence, and structural health monitoring. Supervisor: Prof. Sun-Woo Ko. Research involves developing transparent AI systems and intelligent monitoring applications across multiple domains.
- GPA: 4.50/4.50 (Top 3% of programme)
- Excellence Scholarship for Outstanding Academic Performance (2023-2024)
- Published 3+ papers in SCI journals
- Outstanding course performance: AI Algorithms (98), NLP (98), Computer Vision (97)
Master of Science in Artificial Intelligence
Jeonju University
2021 - 2023 • South Korea
Specialised in machine learning algorithms, deep learning, and data mining. Thesis focused on agricultural intelligence and livestock monitoring systems. Completed with distinction and multiple competitive achievements.
- GPA: 4.50/4.50 (Top 3% of programme)
- Excellence/Language Scholarship recipient (2021-2023)
- First Prize in Korean Donguibogam Herbal Identification Competition
- First Prize in Jeollabuk-do University Student Data Analysis Competition
Bachelor of Engineering in Software Engineering
Shanxi Agricultural University
2013 - 2017 • China
Comprehensive foundation in computer science fundamentals, software development, and project management. Active in student leadership roles and extracurricular activities including student union coordination and cultural events.
- Major GPA: 3.6/4.0
- Active Social Participant Award (2014-2015)
- Outstanding Student Union Officer (2014-2016)
- Led coordination of 3 major university events (1000+ participants)
Professional Experience
Lecturer/Teacher
Jeonju University, College of Liberal Arts
2025 - Present • South Korea
Teaching Computer Thinking and Python Programming to 87 students across Korean and international cohorts. Responsible for bilingual curriculum design, instruction delivery, and student assessment in both Korean and English.
- Designed bilingual curriculum for diverse student populations
- Successfully delivered courses in Korean and English
- Maintained high teaching quality standards across cultural contexts
Graduate Assistant
Jeonju University Graduate School
2023 - 2024 • South Korea
Coordinated international student activities and academic support services. Provided academic translation services for thesis and defence materials, managed administrative tasks, and facilitated cultural exchange programmes.
- Organised cultural exchange activities for 30+ international students
- Provided critical academic translation services for degree requirements
- Coordinated administrative operations for graduate school office
Exchange Lecturer
Chongqing Foreign Trade and Economic College
2023 - 2023 • China
Participated in AI education exchange programme addressing curriculum development and infrastructure challenges. Delivered lectures on AI teaching methodologies and conducted presentations for large academic audiences.
- Delivered 3 trial lectures (45 minutes each) on AI education
- Presented to 500-person auditorium on AI curriculum challenges
- Contributed to international academic exchange initiatives
Teaching Assistant
Jeonju University AI College
2021 - Present • South Korea
Supporting AI courses through classroom translation, undergraduate seminars, and academic assessment. Responsibilities include course material development, examination preparation, and student mentoring.
- Provided bilingual academic support for AI courses
- Developed examination materials and assessment criteria
- Mentored undergraduate students in research projects
Research Assistant
Multiple AI Research Projects
2021 - Present • South Korea
Led multiple research initiatives including Harim Group smart farm project, SHM intelligent monitoring system development, and industrial digitalisation studies. Published first-author papers in top-tier journals.
- Led Harim Group agricultural intelligence project
- Developed SHM prediction algorithms for infrastructure monitoring
- Published first-author paper in Agriculture journal (IF: 3.6)
Android Software Developer
Oracle (China) Software Systems Co., Ltd.
2016 - 2017 • Beijing, China
Developed mobile applications including Android shopping application and iOS application using Object-C. Gained comprehensive experience in mobile software development and project management.
- Independently developed 'Liangjian Military Products APP' for Android
- Team development of 'That Year Today APP' using Object-C
- Completed comprehensive software development training programme
Let's Connect
Feel free to reach out for collaborations, research discussions, or academic opportunities