Program at a Glance

Friday August 1, 2025 (Onsite Session)

  • Presentation duration: Maximum 12 minutes.
  • Q&A session: Minimum 3 minutes.
   
Time Events
08.30 – 15.00 Registration
09.00 – 09.45 Opening Ceremony
Assoc. Prof. Tiranee Achalakul, Ph.D.
President of Big Data Institute (Public Organization)
Title: Data Integration and Intelligence Platform (DII)
09.45 – 10.45 Keynote Session 1
Keynote Speaker: Assoc. Prof. Wachiranun Sirikul, MD.Cert. Dip.Family Medicine, M.Sc
Title: Challenges and Common Pitfalls in Health Data Analysis and Health Informatics
10.45 – 11.00 Session Break
11.00 – 12.00 Keynote Session 2
Keynote Speaker: Asst. Prof. Dr. Watcharapong Naraballobh
Title: Data-Driven Smart Agriculture: Applications and Impacts in Northern Thailand
12.00 – 13.00 Lunch
13.00 – 14.45 Oral Session 1
Session Chair: Abhishek Das; Session Co-Chair: Kasidit Makornwattana; Session Moderator: Kiattipong Aunmueng
13.00 – 13.15 1571134151 – Pepperazzi: an AI-Driven Robotic Arm for Precision Harvesting of Chili Peppers Using an Integrated Grip-and-Cut Mechanism and YOLOv8 Algorithm
13.15 – 13.30 1571134191 – Grabalut: Automated Robotic Arm System for Duck Egg Detection and Classification Using YOLOv8
13.30 – 13.45 1571134900 – ROBO-SORT: Real-Time Object-Based Detection for Automated Solid Waste Collection and Segregation Using YOLOv8
13.45 – 14.00 1571147921 – Deep Transfer Learning for Automated Waste Image Classification
14.00 – 14.15 1571150395 – Machine Vision-Based Broiler’s Age and Weight Detector Using Deep Transfer Learning
14.15 – 14.30 1571165744 – Enhancing Efficiency in Entity Resolution Strategies for Batch Prompting
14.45 – 15.00 Session Break
15.00 – 17.30 Oral Session 2
Session Chair: Patipan Saengduean; Session Co-Chair: Chayasin Saetia; Session Moderator: Kiattipong Aunmueng
15.00 – 15.15 1571128965 – Real-Time Event Detection from Social Media Using Big Data Analytics
15.15 – 15.30 1571132667 – Transfer Learning Based on CCA-TrAdaBoost for Insurance Fraud Detection
15.30 – 15.45 1571145492 – Short-Term Forecasting Solar Power Generation with Artificial Neural Network and CNN-LSTM
15.45 – 16.00 1571145749 – CalamansiBot: a Robotic Arm Classifier for Calamansi (Citrofortunella Microcarpa) Leveraging YOLOv8 Technology
16.00 – 16.15 1571158717 – MedSight: a Web-Based Platform for Streamlined Medical Image Diagnosis and the Potential of Integrating Active Learning for Big Medical Data
16.15 – 16.30 1571161906 – Non-Newtonian Hemodynamic Data Predicts Arteriovenous Fistula Maturation and Remodeling
16.30 – 16.45 1571166508 – Mental Health Monitoring in Higher Education Using Machine Learning and Computer Vision
16.45 – 17.00 1571173116 – A Multi-Criteria Decision-Making Approach for Cat Breeding Matchmaking Using AHP and the Gale-Shapley Algorithm
17.00 – 17.15 1571174559 – Exam Proctor Scheduling in Practice: a Case Study

Saturday August 2, 2025 (Onsite Session)

  • Presentation duration: Maximum 12 minutes.
  • Q&A session: Minimum 3 minutes.
Time Events
08.30 – 15.00 Registration
09.00 – 10.30 Practical Workshop (Described in Thai)
Speaker: Asst. Prof. Dr. Pruet Putjorn
Title: Reimagining Thai Local Wisdom through Generative AI with ChatGPT and Google Gemini
10.30 – 10.45 Session Break
10.45 – 12.00 Practical Workshop (Described in Thai) Cont.
12.00 – 13.00 Lunch
13.00 – 14.45 Oral Session 3
Session Chair: Suresh Palarimath; Session Co-Chair: Sukanya Suksak; Session Moderator: Kiattipong Aunmueng
13.00 – 13.15 1571132991 – RunX: Leveraging Big Data and Hydrological Modeling to Rank Runners Across Marathons
13.15 – 13.30 1571136274 – Real-Time Person and Vehicle Detection System Using Deep Learning for Smart University
13.30 – 13.45 1571147798 – Analysis of Question-Posting Websites for Building Dialogue Models Specific to Programming Contexts
13.45 – 14.00 1571161723 – Systematic Review of Big Data Applications for Sustainable Smart Campuses: Trends, Technologies, and Impact Metrics
14.00 – 14.15 1571162019 – Unified Deep Learning Framework for ISL and ASL Sign Language Recognition
14.15 – 14.30 1571173274 – SmartAir: Enhancing Air Quality Classification with Deep Learning and Two-State Q-Learning
14.45 – 15.00 Session Break
15.00 – 17.30 Oral Session 4
Session Chair: Kla Karava; Session Co-Chair: Angkhana Prommarat; Session Moderator: Kiattipong Aunmueng
15.00 – 15.15 1571146428 – DrugWiser: Machine Learning-Based Personalized Medicine Recommendation System
15.15 – 15.30 1571146465 – BrixPro: Non-Invasive Machine Learning-Based Brix Estimation Model Using NIR Spectroscopy
15.30 – 15.45 1571146558 – DiaPredict: a Machine Learning-Based System for Detecting Diabetic and Non-Diabetic Patients
15.45 – 16.00 1571146735 – FruitCheck: Machine Learning-Based Freshness Classification for Bananas, Mangoes, and Oranges
16.00 – 16.15 1571146873 – Machine Learning-Based Student Performance Evaluator: Identifying Key Predictors with LIME
16.15 – 16.30 1571146959 – FAULTYER: Machine Learning-Based System for Predictive Maintenance and Failure Detection
16.30 – 16.45 1571147175 – Machine Learning-Based Classification of Solar Flare Classes and M-Class Intensity Levels Using Particle Swarm Optimization
16.45 – 17.00 1571147791 – CAMPi: Machine Learning-Based Alcoholism Classification with Raspberry Pi Integration

Sunday August 3, 2025 (Online Session)

  • Presentation duration: Maximum 12 minutes.
  • Q&A session: Minimum 3 minutes.
TimeEvents
09.00 – 12.00Online Session 5
Session Chair: Chayasin Saetia; Session Co-Chair: Sukanya Suksak; Session Moderator: Khwansiri Sirimangkhala
09.00 – 09.151571142441 – Modeling Online Ideological Community Dynamics with Recurrent Variational Graph Auto-Encoders
09.15 – 09.301571159990 – AI-Powered Deepfake Detection Using CNN and Vision Transformer Architectures
09.30 – 09.451571160494 – Hybrid Deep Learning Model for Retinal Disease Detection with XAI
09.45 – 10.001571161897 – Leveraging Graph Neural Networks for Structural Context in Biomedical Named Entity Recognition
10.00 – 10.151571164574 – RGA-PPIS: a Novel Residual-Based Graph Attention for Protein-Protein Interaction Site Prediction
10.15 – 10.301571165149 – TUFACE: Transformer-Based UFormer Attention with Stable-Diffusion-XL for Personalized Face Inpainting
10.30 – 10.451571169473 – Deep Learning with Adversarial Training for Credit Scoring
10.45 – 11.001571132746 – Detecting Sarcasm in Tweets: a Comparative Study of Deep Learning and Traditional Approaches
11.00 – 11.151571161827 – ARPU Optimization in Subscription-Based Services
11.15 – 11.301571144855 – Impact of COVID-19 on Air Traffic in Asia: Challenges, Recovery, and the Role of Big Data
  
09.00 – 12.00Online Session 6
Session Chair: Kasidit Makornwattana; Session Co-Chair: Angkhana Prommarat; Session Moderator: Tharaphon Nitijiramon
09.00 – 09.151571164647 – Adaptive Ensemble Learning for Predictive Maintenance: Neural-Gated Mixture of Experts Architecture
09.15 – 09.301571173231 – Enhancing Manufacturing Safety and Sustainability with Advanced Computer Vision
09.30 – 09.451571160159 – Machine Learning and Explainable AI for Predicting Intubation Needs in an Intensive Care Unit
09.45 – 10.001571161483 – Optimized Ensemble Architecture Integrating LSTM, FFNN, and SVM for Binary Prediction Tasks
10.00 – 10.151571161891 – Anti-Money Laundering Detection Using Traditional, Deep, and Hybrid Machine Learning: a Performance Comparison
10.15 – 10.301571163860 – Fake News Detection Using Machine Learning: a Performance Comparison
10.30 – 10.451571166294 – Leadership Potential in Young Adults Through Light Triad Traits: Foundations for Big Data-Enabled Profiling
10.45 – 11.001571171300 – Evaluating the Performance of Machine Learning Models for Weather Prediction Using Multiple Classification Techniques
11.00 – 11.151571173031 – A Residual Neural Network for Enhancing Human Activity Recognition Using Inertial Sensor Data from Smart Wearables
11.15 – 11.301571173035 – Robust Human Activity Recognition Using a Transformer-Based Model for Aging Society