Workshop
The International Conference on Computer Engineering, Network, and Intelligent Multimedia
Institut Teknologi Sepuluh Nopember
Workshop
Machine Learning for Assistive Technology
📅 November 23 - 30, 2025
📍 ITS Campus Surabaya
Institut Teknologi Sepuluh Nopember
🎯 Workshop Overview
This workshop delves into the transformative role of Deep Learning in enhancing human abilities across various domains, including healthcare and beyond. Participants will engage in hands-on sessions covering techniques such as Convolutional Neural Networks (CNN), object detection with YOLOv8, fall detection, and gesture recognition.
The workshop emphasizes practical applications, including brain imaging, fall detection, and wheelchair control in healthcare, while also exploring versatile uses in other fields.
📚 5-Day Learning Schedule
Day 1: Python Basics and Introduction to CNN
Foundation building with Python programming and CNN fundamentals
Day 2: CNN for Image Classification
Hands-on image classification using Convolutional Neural Networks
Day 3: Object Detection
Advanced object detection techniques and implementations
Day 4: Fall Detection
Healthcare applications: automated fall detection systems
Day 5: Gesture Recognition
Human-computer interaction through gesture recognition
📋 Requirements
- Student overseas participants welcome
- Bring your own laptop
- Basic knowledge of programming
- Functional English (Oral communication)
- Highly motivated and committed mindset
🎁 What You'll Get
- Free accommodation during workshop
- Free meals throughout the program
- Free certificate of completion
- Free Surabaya city tour
- Optional Bromo Mount tour (approx. $100)
🚀 Ready to Transform Your Skills?
Join this exclusive opportunity to learn cutting-edge machine learning techniques for assistive technology!
📱 Contact Information
Mr. Yusril
📞 +62-87782986837

Contact Us
Contact Us
Address
Department of Biomedical EngineeringInstitut Teknologi Sepuluh Nopember
Sukolilo Campus, Surabaya, Indonesia 60111
Call Us
(031) 5922936
Email Us
info.cenim@its.ac.id
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