DSAI 2023: 1st International Conference on Data Science & Artificial Intelligence


(last updated: 23 November 2023)

Monday 27 November (Kensington room, BerkEley Hotel 5th floor)

8:30 -8:45 Registration
8:45 – 9:00 Opening
9:00-10:00 Keynote presentation (chair: Dr. Chutiporn Anutariya)
  • Explainable Artificial Intelligence, Explained
    Peter Flach (University of Bristol, UK)
10:00-10:30 Coffee/Tea break
10:30-12:00 Session 1: Image Analysis and Object Recognition I (chair: Prof. José Machado)
  •  Exploring Deep Learning Techniques for Vision-Based Vehicle Re-Identification:A Traffic Intersection Case Study 
    Biplav Regmi, M. Dailey and M. Ekpanyapong
  • Segmentation of NKX2.5 Signal in Human pluripotent Stem Cell-derived Cardiomyocytes
     S. Jongsma, V. Schwach, S. A. Ten Den, R. Passier, Fons J. Verbeek and L. Cao
  • Deep Learning Implementation for Pineapple Maturity and Sweetness Classification
    Sayed Muchallil, S. Roza, Y. Candra, M. H. Al-Assad, M. Fitria, and Rahmad Dawood
12:00 – 13:15 Lunch break
13:15 – 15:05 Session 2: Foundations of Data Science and AI (Chair: Dr. Teeradaj Racharak)
  • SecureQNN: Introducing a Privacy-Preserving Framework for QNNs at the Deep Edge
    M. Costa, T. Gomes, J. Cabral, João Monteiro, A. Tavares and S. Pinto
  • Chaotic Mountain Gazelle Optimizer (CMGO): A Robust Optimization Algorithm for K-Means Clustering of Diverse Data Types
    Tanatip Watthaisong, K. Sunat and N. Muangkote
  • A Modified Hybrid RBF-BP Network Classifier for Nonlinear Estimation/Classification and Its Applications
    J. Wong and Po Chai Wong
  • Hybridization of Modified Grey Wolf Optimizer and Dragonfly for Feature Selection (short paper)
    Said Afghani and K. Sunat
15:05-15:30 Coffee/Tea break
15:30-16:20 Session 3: AI and Creativity (Chair: Dr. Erna Budhiarti)
  • A Computer Scientist’s View on Machine Learning and Creativity
    Maarten H. Lamers
  • Generative Design Optimization for Tourism-Oriented Souvenir Development: Blending Art and Science into Tourism Industry (short talk)
     Somlak Kielarova and Prapasson Pradujphongphet
17:30-19:30 Poster Session & Reception (The Lounge room, Berkley Hotel, 10th floor)
(chairs: Dr. Vatcharaporn Esichaikul, Dr. Chantri Polprasert, and Dr. Chaklam Silpasuwanchai)
  • Adaptive Learning Models for Detecting Traffic Anomalies
    Manish Taneja, Matthew N. Dailey
  • Revealing the Hidden Potential Peatlands of the Samar Island, Philippines: An Application of Earth Data Science for Sustainable Environment
    Marichu Itang, Roderica Goles
  • Cross-Attention based Late-Fusion for Medical Visual Question Answering
    Aiman Lameesa, Chaklam Silpasuwanchai, Md. Sakib Bin Alam
  • Supporting Instructors’ Intervention in Computer Programming Courses: A Learning Analytics Approach
    Piriya Utamachant, Chutiporn Anutariya
  • Enhancing Sleep Apnea Diagnosis: Evaluating Wellue O2 Ring for Wearable Device-Based Detection
    Kristina Thapa, Chutiporn Anutariya
  • Integrating User-centred Design into Healthcare Data Analytics and Visualisation for Fall Detection
    Parkpoom Wisedsri, Chutiporn Anutariya
  • A Comprehensive Review of Local-Level Structural Damage Evaluation in Reinforced Concrete Structures Using Nonlinear Finite Element Analysis
    Sajedur Rahman
  • ENAN: Enhancement of Data Management Through Academic Credential – Capability Maturity Model in Higher Education
    Pricilla Faye T. Simon, Chutiporn Anutariya
  • A Comparative Analysis of Proactive Auto-Scaling Strategies
    Somesh Rao Coka, Chantri Polprasert
  • Enhancing Upper Limb Prosthetic Functionality Via Tinyml Powered Design, Emg, And 3d Printed Components
    Srijan Ghimire, Attaphongse Taparugssanagorn
  • Exploring the Role of Artificial Intelligence in Marketing and Sales: A Study on Natural Language Processing and Natural Language Generation
    Issaret Prachitmutita, Chutiporn Anutariya

Tuesday 28 November (KENSINGTON Room A, BerkEley Hotel, 5th floor)

9:00-10:00 Keynote presentation (Chair: Prof. Marcello Bonsangue)
  • Machine Speech Chain: A Deep Learning Approach for Modeling Human Speech Perception and Production with Auditory Feedback Mechanism for Low-Resource Languages
    Sakriani Sakti (Japan Advanced Institute of Science and Technology, JP)
10:00-10:30  Coffee/tea break 
10:30-12:00 Session 4: Image Analysis and Object Recognition II (Chair: Dr. Khamron Sunat)
  •  Improving Low Light Object Detection using Image Enhancement Models 
    Muhammad Omer Farooq Bhatti and M. Dailey
  • Unsupervised Segmentation of High-throughput Zebrafish Images using Deep Neural Networks and Transformers
    Shima Javanmardi, X. Tang, M. Jahanbanifard and F. Verbeek
  •  Using the New YoLo Models in Detecting Small-sized Objects in the Case of Rice Grains on Branche 
     Khang Nguyen Quoc, A. Nguyen Quynh, H. Tran Ngoc and L.-D. Quach
12:00 – 13:15  Lunch break 
13:15 – 14:35 Session 5: Data Science and AI in and for Healthcare (Chair: Prof. Fons Verbeek)
  • Enhancing Data Science Interoperability: An Innovative System for Managing OpenEHR Structures
    M. Dias, R. Sousa, J. Duarte, H. Peixoto, A. Abelha, and José Machado
  •  Optimizing Heart Disease Classification: Exploring the Impact of Feature Selection and 
    the Performance of Machine Learning Algorithms (short paper)
    A. Maulana, F. Faisyal, F. Tarmizi, Taufik Abidin and H. Riza
  •  A Machine Learning Approach to Evaluating the Relationship between Dental Extraction and Craniofacial Growth in Adolescents
    G. Hernandez, A. Gonzalez-Briones, J. Machado, P. Chamoso and Paulo Novais
14:35-15:00  Coffee/Tea break 
15:00-15:50 Session 6: Data Science and AI in Education (Chair: Dr. Patcharin Panjaburee)
  • A Case Study to Predict Failure on Secondary School (short paper)
    Sofia Jordão, Dalila Duraes and Paulo Novais
  • Navigating the Implications of AI in Indonesian Education: Tutors, Governance,and Ethical Perspectives
    Daphne Wong-A-Foe
15:50-17:10 Workshop
  • The teaching algorithm – How to design educational units like a Master of Education
    Alexandra Blank (Leiden University, NL)
19:15-21:15 Dinner (Bangkok Balcony, Baiyoke Sky Hotel, 81st floor)

Wednesday 29 November (Kensington room, BerkEley Hotel 5th floor)

9:00-9:50 Invited presentation (chair: Dr. Marteen Lamers)
  • Pedagogy-infused AI for Precision Education
    Patcharin Panjaburee (Khon Kaen University, TH)
9:50-10:20 Coffee/Tea break 

Session 7: Data Mining and Machine Learning Deep Learning (chair: Dr. Chantri Polprasert)

  • Comparison of Machine Learning Models to Classify Documents on Digital Development
    Uvini Ranaweera, B. Mawitagama, S. Liyanage, S. Keshan, T. De Silva, and S. Hewawalpita
  • Exploration of the feasibility and applicability of domain adaptation in machine learning-based code smell detection
    P. Sukkasem and Chitsutha Soomlek
  • Web Usage Mining for Determining a Website’s Usage Pattern: A Case Study of Government Website
    Panunsiya Rawiraand V. Esichaikul
11:50 – 13:00 Lunch break 
13:00 – 14:50 Session 8: Deep Learning (Chair: Prof. João Monteiro)
  • Deep-Learning-Based LSTM Model for Predicting a Tidal River’s Water Levels: A Case Study of the Kapuas Kecil River, Indonesia (short paper)
    K. Kurniawan, Joko Sampurno, R. Adriat, R. Ardianto and A. A. Kushadiwijayanto
  • Thai Conversational Chatbot Classification using BiLSTM and Data Augmentation 
    Nunthawat Lhasiw, Tanatorn Tanantong and Nuttapong Sanglerdsinlapachai
  • DeepFakes Detection using Deep Learning
    Mariam Rehman, M. Rasool, and S. Safdar
  • Data Augmentation for EEG Motor Imagery Classification using Diffusion Model 
    Nutapol Soingern, Akraradet Sinsamersuk, Itthi Chatnuntawech and Chaklam Silpasuwanchai
14:50-15:20 Coffee/Tea break 
15:20-16:20 Session 9:  Large Language Models (chair: Dr. Chitsutha Soomlek)
  • ChatGPT Knows Your Attacks: Synthesizing Attack Trees Using LLMs
    O. Gadyatskaya and Dalia Papuc
  •  BERT Fine-tuning the Covid-19 Open Research Dataset for Named Entity Recognition 
    Shin Thant, T. Racharak and F. Andres
16:20-16:50 Closing and Best Poster Award