Career Profile
Greetings! I’m Teerapong Panboonyuen, also known as Kao Panboonyuen (or simply ‘Kao’), holding a Ph.D. in Computer Engineering with a specialization in Artificial Intelligence, Machine Learning, and Deep Learning from Chulalongkorn University.
Tech Toolkit and Research Passions: My expertise extends to platforms like GCP and AWS, complemented by proficiency in Python, PyTorch, Detectron2, Weights & Biases, Hugging Face, and Streamlit, among others. I leverage tools like Gradio for seamless model deployment and manage cloud resources such as general EC2 with GPU computing and S3 using Docker-Compose and Kubernetes. Building APIs for AI models to support both frontend and backend development in app building is a key strength. Additionally, I work with models like Vision Transformer (ViT) and have a keen interest in Generative Pre-Trained Transformers (GPT).
Currently, I’m contributing as a Senior AI Research Scientist at MARS (Motor AI Recognition Solution) while continuing my research pursuits as a Postdoctoral Fellow at Chula.
My passion lies in practical deep learning and computer vision, particularly in remote sensing corpus. I aim to distill insights and techniques, empowering fellow machine learning practitioners to accelerate their learning curve and maximize the potential of emerging technologies.
Summaries of my academic, industry, and teaching experience are available here. You can also explore a selection of my music and my blog. Additionally, I am a self-motivated, independent researcher with more than ten years of experience in deep learning and machine learning.
Thai name: ธีรพงศ์ ปานบุญยืน (เก้า)
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Publication (Google Scholar): this link
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Publication (DBLP): this link
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Web of Science ResearcherID: AAO-4985-2020
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Curriculum Vitae (CV): this link
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ORCID: this link
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Semantic Scholar: this link
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Research Gate (RG): this link
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Frontiers Profile (FT): this link
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MDPI SciProfile: this link
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Paperswithcode: this link
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Business Card: this link
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IRONMAN 70.3 Finisher: this link
Additionally, you all guys could reach me through teerapong.pa@chula.ac.th.
Experiences
- Developed an AI model called ‘MARS: Mask Attention Refinement with Sequential Quadtree Nodes’ (arxiv paper) for the MARS company. The project was presented at the International Conference on Image Analysis and Processing, ICIAP 2023, which was held in Udine, Italy, from September 11-15, 2023, and was also published in the conference proceedings.
- Be published an article on TECHSAUCE detailing the innovative AI project named MARS: this link
- New research starts with understanding, AI-model creating (in the tasks: Image Classification, Object Detection, Instance Segmentation, Domain Adaptation, Explainable AI (XAI), or Interpretable AI, or Explainable Machine Learning (XML), etc.), reproducing, and verifying ai results in the auto insurance industry
- Provides ML-APIs to the service team (frontend and backend) to download and use our pre-trained models on car insurance and garage tasks. Also, new models can be implemented rapidly and then transferred to production
- Novel research (in the databases: CVPR, ICLR, ICCV, ECCV, NeurIPS, PAMI, etc.) involves inventing new models that will likely break the design assumptions of existing models
- Provides high-quality reference implementations for many state-of-the-art algorithms to democratize this phase of the research process
- Understand the MARS’s goals and challenges and plan AI strategies and collaborate with the service team to identify areas where AI application can use MARS’s business
- Panboonyuen’s business card: this link
- Panboonyuen’s role: this link
- MARS reference: this link
- Teach the course “SC320002 Business Intelligence”, CP020001 Introduction to Computers and Programming, and SC310005 Artificial Intelligence and Machine Learning Application to undergraduate and postgraduate students, delivering engaging and informative lectures.
- Develop and update course materials, including syllabi, assignments, and assessments, to ensure students receive a comprehensive education in Business Intelligence.
- Deliver high-quality instruction in the “AI and Machine Learning” course to undergraduate and graduate students, promoting a deep understanding of the subject matter.
- Instruct the “Big Data” course for undergraduate and postgraduate students, providing comprehensive and up-to-date education in the field.
- Ministerial Order on the Appointment of Academic Staff (Order 5907-2566 (Khon Kaen University)): this link
- Invitation Letter for a Special Lecturer Position (Order อว 660301.26/24844 (Khon Kaen University)): this link
A research topic: Transformer-Based Decoder Designs for Semantic Segmentation on Remotely Sensed Images
- Ratchadapisek Somphot Fund for Postdoctoral Fellowship, Chulalongkorn University
- Machine Intelligence and Knowledge Discovery Lab (MIND Lab)
- Department of Computer Engineering, Faculty of Engineering, Chulalongkorn University
- My Publication Paper (Full Text, 2021): https://www.mdpi.com/2072-4292/13/24/5100
- Postdoctoral Fellows 2021 to 2022 (Dept. of Computer Engineering, Chula): this link
- Postdoctoral Fellows 2022 to 2023 (Dept. of Survey Engineering, Chula): this link
- Apply Data Science and AI technology in Barter for Demand Forecasting in Retail Grocery Stores.
- Working as Artificial Intelligence Researcher with Machine Learning, Big Data Solutions; Hadoop, PySpark for Demand Forecasting Project via Data Innovation Team.
- Fine-Grained Time Series Forecasting at Scale with PySpark, Deep Learning, and Visualizing Demand Seasonality in Time Series Data.
- Artificial Intelligence Research Scientist (Department Manager), C.J. Express Group Co., Ltd., Office Silom
A dissertation: Semantic Segmentation on Remotely Sensed Images Using Deep Convolutional Encoder-Decoder Neural Network
- Graduate research in the laboratory of Peerapon Vateekul
- This dissertation proposes the semantic segmentation architecture in five aspects, designed explicitly for the remotely sensed field on Landsat-8 satellite and ISPRS Vaihingen” challenge.
- The 100th Anniversary Chulalongkorn University Fund for Doctoral Scholarship
- The 90th Anniversary of Chulalongkorn University Scholarship
- Machine Intelligence and Knowledge Discovery Lab (MIND Lab)
- GPAX 4.00/4.00
- My Ph.D. Publication (My 2nd paper, ISI Journal, Q1, Tier 1, Impact Factor 3.406, https://www.mdpi.com/2072-4292/11/1/83) Special Issue “Convolutional Neural Networks Applications in Remote Sensing”
- My Ph.D. Publication (My 3rd paper, ISI Journal, Q1, Tier 1, Impact Factor 4.118, https://www.mdpi.com/2072-4292/12/8/1233) Special Issue “Advanced Deep Learning Strategies for the Analysis of Remote Sensing Images”
- Certificate of Fundamentals of Deep Learning for Computer Vision (NVIDIA): this link
- My publication dissertation (Full Text, 2019): http://cuir.car.chula.ac.th/handle/123456789/70297
- Kao’s Ph.D. graduation rehearsal: this link
- Kao’s Ph.D. graduation rehearsal (EN): this link
- Kao’s Ph.D. graduation rehearsal (TH): this link
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A master thesis: Semantic Road Segmentation on Remotely-Sensed Images Using Deep Convolutional Neural Networks and Landscape Metrics (Evaluation: Very Good).
- Graduate research in the laboratory of Peerapon Vateekul
- This thesis presents an enhanced DCNN framework specifically tailored for road extraction on remotely-sensed images by applying landscape metrics (LMs) and conditional random fields (CRFs).
- H.M. the King Bhumibhol Adulyadej’s 72nd Birthday Anniversary Scholarship
- Machine Intelligence and Knowledge Discovery Lab (MIND Lab)
- GPAX 4.00/4.00
- My Master Publication (My 1st paper, ISI Journal, Q1, Tier 1, Impact Factor 3.244, https://www.mdpi.com/2072-4292/9/7/680) Special Issue “Learning to Understand Remote Sensing Images”
- Best Student Paper Award in International Conference on Computing and Information Technology 2017 (Recent Advances in Information and Communication Technology 2017), https://link.springer.com/book/10.1007/978-3-319-60663-7
- My publication thesis (Full Text, 2016): http://cuir.car.chula.ac.th/handle/123456789/55593
- Invited Reviewer of Pattern Recognition (Elsevier) (Q1, ISI Journal)
- Invited Reviewer of Neurocomputing (Elsevier) (Q1, ISI Journal)
- Invited Reviewer of Computer Vision and Image Understanding (Elsevier) (Q1, ISI Journal)
- Invited Reviewer of Computers and Geosciences (Elsevier) (Q1, ISI Journal)
- Invited Reviewer of PLoS ONE (Q1, Public Library of Science)
- Invited Reviewer of Remote Sensing (Q1, MDPI, ISI Journal)
- Invited Reviewer of GIScience & Remote Sensing
- Invited Reviewer of Forests (Q1, MDPI, ISI Journal)
- Invited Reviewer of Neural Processing Letters (Springer Nature)
- Invited Reviewer of International Journal of Remote Sensing (Tier1, Q1, ISI Journal)
- Invited Reviewer of International Journal of Image and Data Fusion
- Invited Reviewer of International Journal of Distributed Sensor Networks
- Invited Reviewer of International Journal of Digital Earth
- Invited Reviewer of International Journal of Pavement Engineering
- Invited Reviewer of International Journal of Food Properties
- Invited Reviewer of IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI)
- Invited Reviewer of IEEE Transactions on Artificial Intelligence
- Invited Reviewer of IEEE Transactions on Image Processing
- Invited Reviewer of Transactions on Knowledge Discovery from Data
- Invited Reviewer of IEEE Transactions on Neural Networks and Learning Systems (Q1, ISI Journal)
- Invited Reviewer of IEEE Transactions on Medical Imaging (Q1, ISI Journal)
- Invited Reviewer of IEEE Transactions on Geoscience and Remote Sensing (Tier1, Q1, ISI Journal)
- Invited Reviewer of IEEE Transactions on Industrial Informatics (Q1, ISI Journal)
- Invited Reviewer of IEEE Transactions on Emerging Topics in Computational Intelligence
- Invited Reviewer of IEEE Transactions on Radiation and Plasma Medical Sciences (Q1, ISI Journal)
- Invited Reviewer of IEEE Transactions on Vehicular Technology (Q1, ISI Journal)
- Invited Reviewer of IEEE Transactions on Human-Machine Systems
- Invited Reviewer of IEEE Transactions on ReliabilityI
- Invited Reviewer of IEEE Transactions on Circuits and Systems for Video Technology
- Invited Reviewer of IEEE Access (Q1, ISI Journal)
- Invited Reviewer of IEEE Sensors Journal
- Invited Reviewer of IEEE Intelligent Systems (Q1, ISI Journal)
- Invited Reviewer of IEEE Intelligent Transportation Systems Transactions and Magazine
- Invited Reviewer of IEEE Aerospace and Electronic Systems Magazine
- Invited Reviewer of IEEE Open Journal of Systems Engineering
- Invited Reviewer of European Journal of Remote Sensing
- Invited Reviewer of IET Image Processing (Q2, ISI Journal)
- Invited Reviewer of Engineering Applications of Artificial Intelligence (Q1, Elsevier Ltd.)
- Invited Reviewer of Geo-spatial Information Science
- Invited Reviewer of Engenharia Agrícola
- Invited Reviewer of Remote Sensing Letters
- Invited Reviewer of Sensors (Q2, Journal)
- Invited Reviewer of Heliyon
- Invited Reviewer of Computational Intelligence and Neuroscience (Journal, Hindawi)
- Invited Reviewer of Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
- Invited Reviewer of Mathematical Problems in Engineering (Journal, Hindawi)
- Invited Reviewer of Journal of Spectroscopy (Q4, Journal, Hindawi)
- Invited Reviewer of Journal of Sensors
- Invited Reviewer of Journal of Spatial Science (Q2, Journal, Taylor and Francis)
- Invited Reviewer of Journal of Healthcare Engineering (Q2, Journal, Hindawi Limited)
- Invited Reviewer of Journal of Marine Science and Application
- Invited Reviewer of Journal of Food Process Engineering
- Invited Reviewer of International Journal of Imaging Systems and Technology (Q2, Journal)
- ** Reviewer Certificates ** this link
- Invited Reviewer of IETE Technical Review (Q2 Journal)
- Invited Reviewer of IETE Journal of Research (Q4 Journal)
- Invited Reviewer of Transactions on Neural Systems & Rehabilitation Engineering (Q1, Journal)
- Invited Reviewer of Transactions on Knowledge Discovery from Data
- Invited Reviewer of Transactions in GIS (Wiley-Blackwell Publishing Ltd, Q1 Journal)
- Invited Reviewer of Transactions on Network Science and Engineering (Journal)
- Invited Reviewer of Transactions on Multimedia Computing Communications and Applications
- Invited Reviewer of Transactions on Transactions on Intelligent Transportation Systems
- Invited Reviewer of Chinese Journal of Electronics (Q3, Journal)
- Invited Reviewer of Connection Science (Q3, AI, Taylor and Francis AS, Journal)
- Invited Reviewer of Computational Intelligence and Neuroscience
- Invited Reviewer of Industrial Lubrication and Tribology (Q3, Emerald Group Publishing Ltd., Journal)
- Invited Reviewer of Transactions on Consumer Electronics (Q1, IEEE Transactions, Journal)
- Invited Reviewer of Transactions of Nanjing University of Aeronautics and Astronautics (Q4, Journal)
- Invited Reviewer of Industrial Lubrication and Tribology (Emerald Group Publishing Ltd., Q2, Journal)
- Invited Reviewer of Imaging Science Journal (Maney Publishing, Q2, Journal)
- Invited Reviewer of Cybernetics and Systems (Taylor and Francis Ltd.)
- Invited Reviewer of Applied AI Letters
- Invited Reviewer of The Computer Journal
- Invited Reviewer of Expert Systems
- Invited Reviewer of Open Geosciences
- Invited Reviewer of GMSARN International Journal
- Invited Reviewer of Geocarto International
- Invited Reviewer of Photonics Technology Letters
- Invited Reviewer of Engineering Reports
- Invited Reviewer of Nuclear Science and Techniques
- Invited Reviewer of Journal of Agricultural Engineering
- Invited Reviewer of Journal of Chemical Information and Modeling
- Invited Reviewer of International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI)
- AI research in the laboratory of Siam Lawawirojwong and Panu Srestasathiern
- 1st Project: Automated land-use/land-cover classification (LULC) Map Production using Deep Encoder-Decoder Neural Networks
- 2nd Project: A Multi-class Deep Learning Approach for LULC Classification of LANDSAT-8 Satellite Images
- 3rd Project: Deep Learning Based Forest Fire Classification in LANDSAT-8 Satellite Images
- Writing python script to download for various data sources: Sentinel-1 and 2, Landsat 8
- Create radiometrically terrain correct (RTC) on Sentinel data using python
- Implement and design hatchability prediction model of broiler chickens by using regression model
- Problem solving for a quadratic relationship between the predicted hatchability and the age of the breeders
- Creating the AI model and computer vision technique to segmenting multi-objects on aerial and satellite image
- Constructing and Visualising the large database of the agricultural corpora for research
Data science pathway team of Chula Mooc achieve with Volunteer Teaching (Practical Data Analytics) at
- Metropolitan Electricity Authority (MEA)
- Kasikorn Bank Public Company Limited
- Government Housing Bank
- Metropolitan Waterworks Authority (MWA)
- Western Digital (WD)
Teaches: Python Programming at Net Design, Siam Paragon, 4A floor (Bangkok, Thailand) every Saturday morning
Design and deploy functional networks (WAN, LAN, WLAN) including configure and install software, servers, routers and other network devices. Maintain complete technical documentation and suggest improvements to network performance, capacity and scalability
Co-instructed the annual offering on machine learning to undergraduate/graduate students, included teaching recitations, developing homework, test material, and revised the course content to include hands-on experience with Python programming I helped teach Chula’s undergraduate and graduate-levels courses on:
- 2140101 Computer Programming (Java, ISE, Chulalongkorn University)
- 2110101 Computer Programming (Python, 1st year bachelor of Faculty of Engineering, Chulalongkorn University)
- 2110215 Programming Methodology(Java, 2nd year bachelor of Computer Engineering, Chulalongkorn University)
- 2110627 Big Data Tools (Master Student)
- 2110446 Data Science and Data Engineering (3rd year bachelor of Computer Engineering, Chulalongkorn University)
- (Online Course, Head TA) Intro to Data Analytics and Big Data (https://mooc.chula.ac.th/courses/chulamooc2812)
- (Online Course, Head TA) Practical Data Analytics Using Rapid Miner (https://mooc.chula.ac.th/courses/chulamooc2813)
Projects, Teaching, Featured Talks, and Research Communities
You can find my projects through https://github.com/kaopanboonyuen
Object Detection of Road Assets Using Transformer-Based YOLOX with Feature Pyramid Decoder on Thai Highway Panorama (Project)
- Identifying road asset objects in Thailand highway monitoring image sequences is essential for intelligent traffic monitoring and administration of the highway. We introduce transformer-based Feature Pyramid Network (FPN) decoder designs, injecting the FPN style of decoder design into Transformer-based YOLOX reasoning.
The Bangkok Urbanscapes Dataset for Semantic Urban Scene Understanding Using Deep Learning (Project)
- To further study self-driving cars in Thailand, we provide both the proposed methods and the proposed dataset in this project. We hope that our architecture and our dataset would help self-driving autonomous developers improve systems for driving in many cities with unique traffic and driving conditions similar to Bangkok and elsewhere in Thailand.
Geospatial Big Data Analytics 2022 (Teaching)
- Demonstrate an understanding of the breadth of methods and techniques available for handling large volumes of geospatial data; use AI/ML methods with PySpark and techniques to conduct spatial analyses of big data and apply resulting analyses to problems within the student’s own discipline.
Geospatial Big Data Analytics 2023 (Teaching)
- Extract data using web scraping with python, Visualizations using Looker Studio of Google, and PySpark for Machine Learning
Achieve Data Science First Meet (Featured Talks, and Research Communities)
- More and more companies realize the importance of data science, AI, and machine learning. Regardless of industry or size, organizations that wish to remain competitive in the age of big data ought to efficiently originate and implement data science capabilities or risk being left behind.
Transportation Mobility Factor Extraction Using Image Recognition Techniques (Project)
- We propose a method that automatically extract mobility indicators using two image recognition techniques: Semantic Segmentation and Object Recognition.
Semantic Labeling on Remote Sensing Corpora using Deep Learning (Project)
- We present a novel global convolutional network for segmenting multi-objects from aerial and satellite images.
Flood Risk Assessment in Ayutthaya Province (Project)
- We described a more efficient method to create flood susceptibility map - using Thailand’s Ayutthaya Province as a case study to assess flood prone areas.
110km PTT Virtual Run (Virtual Run)
- Work my way up from running continuously over the course of 30 days
Publications
You can find my publications through this link
Image Analysis and Processing - ICIAP 2023 Workshops. ICIAP 2023. Lecture Notes in Computer Science, vol 14365. Springer, Cham.
Remote Sensing. 2023; 15(21):5124.
Information 13.1 (2022), 5.
Remote Sensing 13.24 (2021), 5100.
Remote Sensing 12.8 (2020), 1233.
Remote Sensing 11.1 (2019), 83.
Remote Sensing 9.7 (2017), 680.
International Conference on Computing and Information Technology. Springer, Cham, 2017.
Journal of Remote Sensing and GIS Association of Thailand (2017)
Sustainability. 2023; 15(3):2847.
Information 13.259 (2022), 5.
IEEE Access 10 (2022), 59327-59349.
International Conference on Multimedia Modeling (pp. 393-404). Springer, Cham. (2018)
Trends in Sciences 19.2 (2022): 2038-2038.
IEEE International Conference on Big Data (Big Data) (pp. 3435-3442). IEEE. (2017)
15th International Joint Conference on Computer Science and Software Engineering (JCSSE) (pp. 1-6). IEEE. (2018)
First International Conference on Smart Technology & Urban Development (STUD 2019)