Program Schedule

Thursday 15th May 2025

Time Event
08:00 – 09:00 Registration
09:00 – 09:15

Report by Assistant Professor Dr. Dr.-Ing. Sunantha Sodsee

Dean, Faculty of Information Technology and Digital Innovation
King Mongkut’s University of Technology North Bangkok

09:15 – 09:30

Opening Ceremony by Professor Dr. Thanin Silpcharu,

President of King Mongkut’s University of Technology North Bangkok

09:30 – 09:45 Group Photo
09:45 – 10:45

Invited Keynote Speech by Prof. Dr. Dursun Delen,

Regents Professor at Oklahoma State University,

Stillwater, OK, United States of America

10:45 – 11:00 Coffee break
11:00 – 12:00

Invited Keynote Speech by Dr. Pairoj Likhittanaset,

Sales Administration and Support Manager of National Telecom

Public Company Limited (NT)

12:00 – 13:00 Lunch
13:00 – 15:00 Paper Presentation (Details in Room I below)
15:00 – 15:20 Coffee break
15:20 – 16:20 Paper Presentation (Details in Room I below)

Room I Details:

Thursday 15th May 2025

13:00 – 13:20

IC2IT2025-015

Predicting the Employment Rate of Students after Graduation using
Machine Learning Methods

 

 

Long Tran Hai, Binh Hoang Tieu, and Quang Nguyen Vinh

13:20 – 13:40

IC2IT2025-019

A Student Performance Prediction Model using Machine Learning Models in Mmultimodal Learning Analytics

Uoc Tran Van, Binh Hoang Tieu, and Dang Hung Tran

13:40 – 14:00

IC2IT2025-031

Distinguishing AI-Generated Text from Human-Written Text Using
Machine Learning

 

 

Salil Apte, Rubaiya Masnun, Anoop Lashiyal, and Mario M. Kubek

14:00 – 14:20

IC2IT2025-032

A Context-Aware Real-Time Security Model for Automotive Systems

Teena Kumari, Abdur Rakib, Arkady Zaslavsky, Hesam Jadidbonanb,
and Valeh Moghaddam

14:20 – 14:40

IC2IT2025-020

A Comparative Study of Machine Learning Models for Human Activity Recognition using Signal Feature Extraction

Porawat Visutsak, Arzeezar Lording, Teerapong Ngampromwong,
Natdanai Maichum, Anusorn Wongsanit, Earn Suriyachay,
and Nontakorn Sathitanon

14:40 – 15:00

IC2IT2025-002

Advancing Image Segmentation and Classification with Mamba-Based Architectures

Rafsan Uddin Beg Rizan

15:00 – 15:20 Break

15:20 – 15:40

IC2IT2025-003

Enhancing Potato Blemish Detection through Interactive Image Segmentation and Classification

Rafsan Uddin Beg Rizan

15:40 – 16:00

IC2IT2025-018

Exploring the Effectiveness of Fundus Image Enhancement
for Diabetic Retinopathy Classification

 

 

Asmi Verma, Nittaya Muangnak, and Bowornrat Sriman

16:00 – 16:20

IC2IT2025-004

Enhancing Edge Detection in Images Using Ant Colony Optimization

Rafsan Uddin Beg Rizan

16:20 – 17:00

IC2IT2025-013

Clustering-Based Approach for Identifying Key Information to Develop
Short Video Prototypes in Science Communication for Aging Populations

 

 

Cong Mo, Jantima Polpinij, Khachakrit Liamthaisong, Chunpong Chan
and, Bancha Luaphol

 

 

Friday 16th May 2025

Time Event
09:00 – 10:20 Paper Presentation (Details in Room I below)
10:20 – 10:40 Break
10:40 – 11:20 Paper Presentation (Details in Room I below)

Room I Details:

09:00 – 09:20

IC2IT2025-011

Ontology-Based Learning Assistant Chatbot: Enhancing Accurate
and Explanatory Knowledge Provision in Myanmar’s Primary Education

 

 

Su Wai Myo and Chutiporn Anutariya

09:20 – 09:40

IC2IT2025-008

HLBSA: Hierarchical Learning Backtracking Search Algorithm
for Global Optimization

 

 

Patipan Polvirat

09:40 – 10:00

IC2IT2025-016

Reinforcement Learning Evaluation for Solving Fundamental AI Problem

Theenida Kunklon and Thepparit Banditwattanawong

10:00 – 10:20

IC2IT2025-017

Development of a Network Threat Detection System using Artificial Intelligence

Sisouk Saiveha, Maleerat Maliyaem, and Gerald Quirchmayr

10:20 – 10:40 Break

10:40 – 11:00

IC2IT2025-021

Darknet Traffic Detection with Entropy Metrics and RNN

Pitpimon Choorod

11:00 – 11:20

IC2IT2025-026

Leveraging PubMed Abstracts for Identifying COVID-19 Treatment Modalities

Pornpavit Donsena, Jantima Polpinij, and Bancha Luaphol

11:20 – 11:40

IC2IT2025-027

Application of Long Short-Term Memory Networks for Signature Recognition

Yun Dai, Adisak Sangsongfa, and Nopadol Amm-Dee

11:40 – 12:00

IC2IT2025-030

Predicting Employee Attrition Using Machine Learning:
A Comparative Analysis of Traditional Models and Neural Networks

 

 

Narudhchai Ruangyarn and Onjira Sitthisak