SUMMER 2025 PROGRAM

21st May, 2025 (Wednesday)

15:00-20:05 Hours JAPAN STANDARD TIME

Venue: M10, Research Quadrangle, University of Aizu

15:00 - 15:10 - Opening Address by Prof. Debopriyo Roy

15:10 - 15:30 - Tutorial - Why you should use LinkedIn? - Erik Franzusow

15:30 - 16:00 - An Invited Speech by Udaka Ayas Manawadu: Enhancing Robotic Dexterity through Multiview 3D Object Recognition and Precise Pose Estimation

16:00-16:30 - An Invited Speech by MARRIMANU Charan Teja: Discovering Hidden Knowledge in Raster Images

16:30-16:45 - Trends in a Decade of Mental Model Research in Science Education: A Bibliometric Study - Alfyn Abdan Nurahman

16:45-17:00 - Interaction Break

17:00-17:20 - Conversion of User Manual to Quick Guides and UML - Mori Toshiki, Onodera Yadai, and Mizunoya Ken

17:20-17:40 - Using UML Diagrams to Analyze Amazon's Intelligent E-Commerce UX Strategies - Kasuya Shunsuke & Takamune Yuto

17:40-18:00 - Audi Wheels & Tires - Designing a Quick Guide with Technical Visuals - Furusawa Sotaro & Katono Takuma

18:00-18:15 - Learning Biodiversity Material Through A Permaculture System Assisted With Eco-Gamification To Improve Students' Anticipatory Competency And Scientific Communication Skills - Najira

18:15 - 18:30 - Interactive Games in EFL Classroom: Promoting Critical Thinking Among Young Learners - Devi Amaresta

18:30-18:45 - Women Empowerment Through Digital Literacy: A Systematic Literature Review - Yolanda Lusiana Pratama

18:50-19:10 - Using UML Diagrams to Analyze Amazon's Intelligent E-Commerce Strategies - Shuunosuke Sakakura & Sumaiya Yesmin

19:10-19:30 - A System-Level Analysis of UX-Driven Design - Tajima Shun & Maeda Kyogo

19:50-20:05 - Interaction & Closing

22nd May, 2025 (Thursday)

15:00-19:15 Hours JAPAN STANDARD TIME

Venue: M10, Research Quadrangle, University of Aizu

15:00-15:20 - An Invited Speech by Hareesh Kumar Yerragolla: Knowledge discovery in Japan air pollution data 

15:20-15:35 - Designing Amazon Web Strategies - Hayato Takimoto & Daichi Akamatsu

15:35-15:50 - Utilizing the Web-based Platform Wordwall in Mathematics Learning: A Systematic Literature Review - Nadyati Putri

15:50-16:05 - Gamification for the Development of Higher-Order Thinking Skills in Mathematics Learning: A Systematic Literature Review - Santy Bulubaan

16:05-16:20 - Research Trends of MathCityMap for Mathematics Learning: A Bibliometric Analysis - Muhammad Rizky Syaputra

16:20-16:35 - Reading the Future with Data - Deep Learning Opens up Competitive Advantages - Sawai Hiroto & Yokoyama Chinatsu

16:35-16:50 - Customer Recommendation Systems - Naito Taiga and Raitaro Ono

16:50-17:00 - Short Interaction Break

17:00-17:15 - Design Thinking vs. Machine Learning: Two Approaches to Students' Mental Health - Nakagawa Hitoshi, Erik Franzusow & Ellis Gibbons

17:15-17:30 - Design Thinking vs. Machine Learning: New Proposals for Supporting College Students' Mental Health - Ishimoda Yuta, Kasuga Yato & Yabe Kai

17:30-17:45 - Research & Marketing Plan for a Food Checker App - Kana Muramatsu, Hitomi Kumon & Suzuka Shimada

17:45-18:00 - An Invited Speech by Minnah Amir - AI-Driven Content Management Systems in Industry 4.0 and 5.0: A Review of Intelligent Information Reuse, Storage, and Retrieval

18:00-18:10 - Short Interaction Break

18:10-18:25 - Cookio - Your One and Only Cooking Companion - Lilian Nutz, Hong My WLASIUK & Nozomi Sakaki

18:25-18:40 - Workzy - A Tech Startup's Approach on HR - Ellis Carter GIBBONS, Erik FRANZUSOW & Sora Ono

18:40 - 18:55 - The Smart App Features for Better Learning: Developing a Marketing Plan - Hiromi Itoyama and Kaito Watanabe

18:55 - 19:10 - Health Management App: Developing a Marketing Plan - Yuki Fujimatsu, Kota Inohara & Hiroyasu Konno

19:10 - Closing Comments by Prof. Debopriyo Roy, ETLTC Conference Chair

23rd May, 2025 (Friday)

10:00-16:00 Hours JAPAN STANDARD TIME

Venue: ONLINE FROM UNIVERSITY OF AIZU (ZOOM)

The following presentations must be in this order:

Each presentation should be between 10-12 minutes + 3 minutes of Q&A. 

Session Chair - Minnah Amir, University of Aizu, Japan 

Question Panel - MARRIMANU Charan Teja & Vanitha Kattumuri, University of Aizu, Japan

• Future Planning Based on Student Movement Linked with Their Wifi Signals - NZ Jhanji et al.

• Implementation of Predictive Analytics in Healthcare Using Hybrid Deep Learning Models - Poonam Kargota et al.

• Boosting Software Fault Prediction Accuracy with Ensemble Learning - Ashu Mehta et al.

• Fraud Detection in Bank Transactions Using Machine Learning - Muhammad Sami et al.

• An ML framework for early detection and prediction of hypertension: Enhancing diagnostic accuracy—Muhammad Areeb et al.

• Analyzing and Predicting Cocktail Alcohol or Non-Alcoholic - Hifza Khan et al.

• A Real-Time Intelligent Surveillance for Suspicious Behavior and Facial Emotion Analysis using YOLOv8 and DeepFace - Uswa Ihsan et al.

• A Retrospective Analysis of Soft Computing Techniques for Rule Mining - Mrinalini Rana et al.

• Advanced Machine Learning Techniques for Brain Tumor Detection and Classification - Sehar Qamar Sajjada et al.

• COVID-19 Prediction Using Machine Learning - Ali Raza et al.

• Improved YOLOv5 Lane Line Real-time Segmentation System Integrating Seg Head Network - Qu Feilong et al.

• A Literature Review: Bias Detection and Mitigation in Criminal Justice - Pravallika Kondapalli et al.

• Milk Quality Detection by Machine Learning - Atif Shahzad et al.

• Cattle Disease Prediction Using Machine Learning Algorithms - Muneeb Ahmed et al.

• Stroke Prediction Using Machine Learning Algorithms - Nayab Kanwal et al.

• Graph Neural Networks for Drug-Drug Interaction Prediction: Predicting Safe Drug Pairings with AI - Uzair Nisar et al.

• Predicting Big Mart Sales with Machine Learning—M. Husban et al. 

• Real-time Phishing URLs Detection using Machine Learning - Atta Ur Rehman et al. 

• A Novel Data-Driven Framework for Automated Migraines Classification Using Ensemble Learning - Muhammad Owais Butt et al.

• Investigating Cervical Cancer Detection Frameworks Based on Machine Learning: The Critical Trade-off Between Accuracy and Data Security - Sofia Singla et al. 

• Online Shopping Patterns and Retail Performance - ARBAZ-UR-REHMAN et al. 

• Enhancing the Precision of Eye Detection with EEG-Based Machine Learning Models - Masroor Ahmad et al. 

• Machine Learning-Based Approach for Orange Quality Detection and Classification - Aiman Hameed et al. 

24th May, 2025 (Saturday)

10:00-16:00 Hours JAPAN STANDARD TIME

Venue: ONLINE FROM UNIVERSITY OF AIZU (ZOOM)

The following presentations must be in this order:

Each presentation should be between 10-12 minutes + 3 minutes of Q&A. 

Session Chair - Minnah Amir, University of Aizu, Japan 

Question Panel - MARRIMANU Charan Teja & Vanitha Kattumuri, University of Aizu, Japan

• Comparative Analysis of Action Recognition Techniques: Exploring Two-Stream CNNs, C3D, LSTM, I3D, Attention Mechanisms, and Hybrid Models - Arshiya et al. 

• Metaverse as a Catalyst for Digital Transformation in India’s Education Sector: Implementation Perspectives - Nidhika Chauhan et al. 

• Deep Learning Approach for Breast Cancer Detection Using UNet and CNN in Ultrasound Imaging - Ravikumar Ch. et al. 

• Breast Cancer Predictions Using Machine Learning Algorithms - Adan Mehak et al. 

• Machine Learning Approaches for Real-Time Traffic Density Estimation and Public Transport Optimization - Ahmad Usman et al. 

• An Early Hair Loss Detection and Prediction Method Based on Machine Learning - Muhammad Ahmad et al. 

• Fortifying Linux Server and Implementing a Zero Trust Network Access (ZTNA) for Enhanced Security - Syed Hasnat Ansar et al. 

• A Novel Adaptive Cluster-Based Federated Learning Framework for Anomaly Detection in VANETs - Ravikumar Ch. et al. 

• Predictive Analysis of Chronic Kidney Disease in Machine Learning - Husnain Ali Haider et al. 

• Smart Cloud Architectures: The Combination of Machine Learning and Cloud Computing - Aqsa Asghar et al. 

• Non-Destructive Mango Quality Prediction Using Machine Learning Algorithms—Muhammad Muzamal et al. 

• Latent Structure Discovery in Clinical Texts via Transformer-based Embeddings and Token Graphs - NZ Jhanjhi et al. 

• Dynamic Feature Engineering for Adaptive Fraud Detection - Ajay Sharma et al. 

• A Different Approach Towards Predicting Obesity Levels Based on Eating Habits and Physical Condition Using Ensemble Voting and SMOTE - Zair Mehdi & Tahir Mohammad Ali

• Predicting Brain Stroke Risk Using Machine Learning: A Comprehensive Approach to Early Detection and Prevention - Isha Noor et al. 

• Land Registration and Inheritance Automation System using Blockchain - Muhammad Masood Tariq et al. 

• Multi-Modal Fusion for Enhanced Human-Computer Interaction - Ajay Sharma et al. 

• Heart Attack Prediction Using Machine Learning Models: A Comparative Study of Naive Bayes, Decision Tree, Random Forest, and K-Nearest Neighbors - Makhdoma Haider et al. 

• Predicting Course Engagement with Machine Learning Techniques - Fayez Zulfiqar Ali et al. 

• Prediction of Asthma Disease Using Machine Learning Algorithm - Zahab et al. 

• A Comprehensive Remote Monitoring System for Automated Diabetes Risk Assessment and Control Through Smart Wearables and Personal Health Devices - Manzoor Hussain et al. 

• Enhancing Loan Approval Processes in Financial Institutions Using Machine Learning Algorithms - Muhammad Zaid et al. 

• Obesity Prediction Using Machine Learning Algorithm - Adeen Zeeshan et al. 

 © ETLTC & ACM Chapter on eLearning & Technical Communication: All Rights Reserved.