August 10 – November 20, 2026 | Faculty of Computer Science, Universitas Brawijaya
AI in Healthcare: Biomedical Signal Processing and Wearable Intelligence | Deep Learning and AI for Images
Welcome to the
2026 FILKOM UB Academic and Cultural Exchange on Information Technology (FACE IT)
Welcome to FACE IT 2026, where artificial intelligence meets the future of healthcare. This year’s program features two exciting themes: AI in Healthcare: Biomedical Signal Processing and Wearable Intelligence and Deep Learning and AI for Medical Images, offering participants the opportunity to explore cutting-edge AI technologies transforming modern healthcare.
Throughout this immersive two-month program, you’ll participate in engaging online lectures, practical workshops, collaborative projects, and a one-week on-campus experience in Malang, East Java. Earn 10 ECTS credits, learn from leading academics and researchers, collaborate with students from around the world, and experience Indonesia’s rich culture and hospitality.
Whether your interests lie in biomedical signal analysis, wearable sensing technologies, medical image intelligence, or AI-driven healthcare innovation, FACE IT 2026 provides the knowledge, international network, and hands-on experience to prepare you for the next generation of intelligent healthcare solutions.
Join us in shaping the future of AI-powered healthcare—welcome to FACE IT 2026.
Program Highlights
- Online Phase 1: 10 August – 5 September 2026
- Offline (On-Campus): 6 -12 September 2026
- Online Phase 2: 13 September – 20 November 2026
- Comprehensive Facilities: Accommodation, local transportation, meals, and course materials—everything you need to succeed, provided at no cost.
- Cultural and Educational Immersion: From the breathtaking Mount Bromo to the historic Kayutangan Heritage, students enjoy exclusive cultural experiences, including a special Batik course and Malang’s culinary delights.
- Earn 10 Academic Credits: Boost your academic portfolio while expanding your global network.
Seize this opportunity to learn, explore, and grow in a program designed to empower the next generation of tech leaders.
Registration Fee
Registration period to the course has now expired
The program is completely FREE for international students.
This package includes:
- Accommodation
- Local transportation
- Meals twice a day
- Course materials
- Earn a total of 10 academic credits
- Cultural and field trips
This package DOES NOT include:
- Plane tickets to and from Indonesia
- Travel insurance
- Trip to Mount Bromo
- Other personal expenses
International students who wish to join the trip to Mount Bromo will need to pay a fee of IDR 700,000. This package includes transportation to Bromo, entrance fees, Jeep rental, snacks, a tour guide, and a photographer. Please note that breakfast and personal expenses are not included.
The registration fee for the program is Rp. 600.000,-.
This package includes:
- Local transportation during the program
- Meals during the course
- Course materials
- Earn a total of 10 academic credits
- Opportunities to meet with international students during the program
- Cultural and field trips
This package DOES NOT include:
- Transportation to and from Malang
- Accommodation
- Trip to Mount Bromo
- Other personal expenses
Indonesian students who wish to join the trip to Mount Bromo will need to pay a fee of IDR 450,000. This package includes transportation to Bromo, entrance fees, Jeep rental, snacks, a tour guide, and a photographer. Please note that breakfast and personal expenses are not included.
Selected and confirmed applicants will receive an email with attendance details shortly
Venue
Faculty of Computer Science, Universitas Brawijaya, Malang, Indonesia
Jl. Veteran, Ketawanggede, Lowokwaru, Kota Malang, Jawa Timur, Indonesia – 65145
Agenda
All meetings in this program will be conducted using two teaching modes:
Online Synchronous (Using Google Meet)
This mode involves live online classes where students join scheduled sessions via Google Meet to interact directly with the instructor, participate in discussions, and ask questions in real time.
Self-Paced Learning (Video on LMS):
In this mode, learning materials and recorded lectures are uploaded to the LMS, allowing students to study independently at their own pace and access the content anytime according to their schedule.
Each session will be recorded and uploaded to Eling (https://eling.ub.ac.id/), the official Learning Management System (LMS) of FILKOM UB. Students who are unable to attend live sessions will have the opportunity to review the recordings asynchronously at their convenience. Additionally, all lecture materials, assignments, and supporting resources will be made available through Eling throughout the duration of the program.
The syllabus of the FACE IT 2026 program can be downloaded from the following link: https://s.ub.ac.id/7dc
| Week | Meeting No. | Date | Topic | Description |
|---|---|---|---|---|
| 1 | 1 | 10-Aug-26 | Introduction to Al in Healthcare | Understand the role of Al in modern healthcare, including diagnosis, monitoring, outcome prediction, and healthcare operations. |
| 2 | 12-Aug-26 | Global Healthcare Challenges and Digital Health Needs | Explore global healthcare challenges such as ageing populations, chronic diseases, limited access, workforce shortages, and how digital health can respond to these issues. | |
| 3 | 14-Aug-26 | Main Application Domains of Al in Healthcare | Learn how Al supports clinicians, patients, administrators, and researchers through clinical decision support, wearables, telemedicine, operations, and biomedical research. | |
| 4 | 17-Aug-26 | Al Modelling Lifecycle for Healthcare | Understand the healthcare Al workflow, including problem definition, data preparation, model training, validation, deployment, and monitoring. | |
| 2 | 5 | 19-Aug-26 | Introduction to Biomedical Sensors and Medical Instrumentation | Learn the basic concepts of biomedical sensors, medical instruments, measurand, transducers, actuators, electrodes, and physiological measurement. |
| 6 | 21-Aug-26 | Basic Elements of Biomedical Instrumentation Systems | Explore the structure of biomedical instrumentation systems, including sensors, signal conditioning, data acquisition, display, recording, and storage. | |
| 7 | 24-Aug-26 | Bio signals, Bioelectric Signals, and Biopotentials | Understand the concept of biosignals, bioelectric signals, and biopotentials as physiological information carriers from the human body. | |
| 3 | 8 | 26-Aug-26 | Types of Biomedical Signals for Health Monitoring | Identify common biomedical signals such as ECG, EEG, EMG, EOG, GSR, and PPG, and understand their physiological origins and healthcare applications. |
| 9 | 28-Aug-26 | Wearable Biomedical Sensors and Continuous Monitoring | Learn how wearable biomedical sensors support continuous monitoring, personalized care, and early detection of physiological changes. | |
| 4 | 10 | 31-Aug-26 | ECG Fundamentals and Cardiovascular Signal Interpretation | Study the basic concept of ECG, cardiac cycle, electrical activity of the heart, ECG waveform components, and their relevance in health monitoring. |
| 11 | 2-Sep-26 | Noise in Biomedical Signals and How to Deal with It | Understand common sources of biomedical signal noise, including power-line interference, electrode contact noise, motion artifacts, respiratory interference, and muscle artifacts. | |
| 5 | 12 | 4-Sep-26 | Biomedical Signal Preprocessing and Filtering | Learn basic pre-processing techniques such as signal cleaning, filtering, normalization, and preparation of biomedical signals for further analysis. |
| - | 06-12 Sep 2026 | FACE IT OFFLINE PHASE at FILKOM UB, Malang, Indonesia | On-campus learning activities, academic and cultural immersion, laboratory introduction, biomedical/wearable system demonstrations, and global perspective discussions. | |
| 13 | 14-Sep-26 | Midterm Exam | Covers concepts from Meetings 1-12, including Al in healthcare, biomedical sensors, instrumentation systems, bio signals, ECG fundamentals, and pre-processing. | |
| 6 | 14 | 16-Sep-26 | Biomedical Signal Visualization Using Python and/or MATLAB | Learn how to import, plot, and visually inspect biomedical signals using Python and/or MATLAB Toolbox. |
| 15 | 18-Sep-26 | Time-Domain and Frequency-Domain Analysis | Understand the difference between time-domain and frequency-domain analysis and how both approaches are used to interpret biomedical signals. | |
| 16 | 23-Sep-26 | Power Spectrum and Power Spectral Density | Explore the concept of spectrum analysis and power spectral density for biomedical signals using Python and/or MATLAB Toolbox. | |
| 7 | 17 | 25-Sep-26 | ECG Feature Extraction | Learn basic ECG feature extraction, including R-peak detection, RR interval, heart rate, QRS-related features, and simple morphological features. |
| 8 | 18 | 30-Sep-26 | Hands-on ECG Signal Processing | Practice guided ECG signal processing, including visualization, filtering, peak detection, and feature extraction using Python and/or MATLAB. |
| 19 | 2-Oct-26 | Introduction to Machine Learning for Biomedical Signals | Understand the basic workflow of machine learning for biomedical signal analysis, including dataset preparation, feature selection, training, testing, and prediction. | |
| 9 | 20 | 7-Oct-26 | Model Evaluation in Healthcare Al | Learn how to evaluate healthcare Al models using accuracy, sensitivity, specificity, precision, recall, confusion matrix, and clinically relevant interpretation. |
| 21 | 9-Oct-26 | Case Study: ECG-Based Health Condition Classification | Explore a simple ECG-based classification case study, such as normal versus abnormal physiological patterns, using extracted signal features. | |
| 10 | 22 | 16-Oct-26 | Wearable Intelligence: From Sensor to Al | Understand how biomedical sensors, signal pre-processing, feature extraction, and Al models are integrated into wearable intelligence systems. |
| 11 | 23 | 23-Oct-26 | Al-IoT Integration for Remote Patient Monitoring | Discuss how Al and IoT support real-time and connected healthcare systems, including benefits, risks, data transmission, and remote monitoring scenarios. |
| 12 | 24 | 30-Oct-26 | Real-World Al in Healthcare Applications | Examine real-world applications of Al in diagnosis, patient monitoring, outcome prediction, hospital operations, telemedicine, and personalized healthcare. |
| 13 | 25 | 6-Nov-26 | Research Case Studies in Al-Driven Biomedical Monitoring | Review selected research examples related to Al-based biosensing, wearable health monitoring, biomedical signal analysis, and intelligent diagnostic support. |
| 14 | 26 | 13-Nov-26 | Ethical, Privacy, Fairness, and Global Perspective in Healthcare Al | Discuss responsible Al in healthcare, including privacy, bias, fairness, interpretability, safety, regulation, governance, and global health equity. |
| 15 | 27 | 20-Nov-26 | Final Exam | Complete the final assessment covering conceptual understanding, case-based analysis, biomedical signal processing, wearable intelligence, and responsible Al in healthcare. |
Contact
- Website: https://filkom.ub.ac.id/face-it/
- Email: iro.filkom@ub.ac.id
- Instagram: @iro.filkom
© 2026. FACE IT. Fakultas Ilmu Komputer