Computer Studies Cluster Research and Innovation
The Computer Studies Cluster at Ateneo de Davao University fosters a strong research culture rooted in innovation, ethics, and social responsibility. Our faculty and students work together to explore cutting-edge technologies and develop solutions that address real-world challenges in Mindanao and beyond. As Chammies, we believe that research is not just about discovery—it’s about making a difference.
Research Themes
Artificial Intelligence and Machine Learning
Developing intelligent systems for data analysis, automation, and decision-making.
Data Science and Analytics
Turning complex data into meaningful insights for business, education, and society.
Software Engineering and Development
Designing and building efficient, scalable, and user-centered software systems.
Cybersecurity and Networks
Exploring ways to protect systems, networks, and users in an increasingly digital world.
Human-Computer Interaction (HCI)
Studying the relationship between people and technology to create more intuitive interfaces.
Information Systems and IT Solutions
Applying technology to enhance organizational processes and community development.
Smart Campus Data Hub
A data-driven platform for analyzing university operations and sustainability metrics.
Research Initiatives and Projects
Mindanao Digital Archive
A collaborative project digitizing cultural and historical data for research and education.
AI4Good Initiative
Faculty and student researchers develop ethical artificial intelligence solutions addressing local community and environmental challenges.
CyberShield: Network Security Framework
A student-led study focusing on strengthening cybersecurity practices and designing intrusion detection systems for academic institutions.
EduTrack: Learning Analytics System
Faculty and student researchers develop ethical artificial intelligence solutions addressing local community and environmental challenges.
AgriSense: Smart Agriculture Using IoT
A student-led study focusing on strengthening cybersecurity practices and designing intrusion detection systems for academic institutions.