Student Project Showcase

Discover the innovative backup and disaster recovery solutions developed by our talented students. Each project represents months of dedicated work, combining theoretical knowledge with practical implementation to solve real-world data protection challenges.

Advanced cloud backup system architecture displaying multiple data centers and redundancy layers

Cloud Infrastructure

Multi-Cloud Disaster Recovery Platform

Developed by final-year students, this comprehensive platform orchestrates backup operations across multiple cloud providers including AWS, Azure, and Google Cloud. The system features automated failover mechanisms, real-time synchronization monitoring, and intelligent cost optimization algorithms that reduced recovery time objectives by 75% during testing phases.

Python Terraform Docker Kubernetes

99.9% Uptime

< 4min Recovery

8 Months Duration

Database backup verification dashboard showing integrity checks and automated testing results

Database Systems

Intelligent Backup Verification Engine

This machine learning-powered verification system automatically validates backup integrity by analyzing data patterns and detecting corruption before it impacts recovery operations. Built as a capstone project, it incorporates advanced statistical analysis to predict potential backup failures with 94% accuracy, helping organizations maintain reliable disaster recovery capabilities.

PostgreSQL TensorFlow Node.js Redis

94% Accuracy

15TB Data Tested

6 Months Duration

Encrypted Storage Network

Security

Zero-Knowledge Backup Encryption

A breakthrough security implementation that ensures backup data remains completely private through advanced encryption techniques. This student-designed system uses homomorphic encryption to allow backup operations on encrypted data without exposing sensitive information, addressing critical privacy concerns in cloud-based disaster recovery scenarios.

Go OpenSSL gRPC MongoDB

AES-256 Encryption

Zero Breaches

10 Months Duration

Project Development Timeline

March 2025

Project Conceptualization Phase

Students begin researching current gaps in disaster recovery solutions, conducting industry interviews with Malaysian businesses to understand real-world backup challenges. This phase involves comprehensive literature reviews and feasibility studies to identify viable project opportunities that align with both academic requirements and industry needs.

June 2025

Technical Implementation Begins

Development teams establish their technical architectures and begin coding core functionalities. Students work closely with faculty mentors to ensure proper software engineering practices while experimenting with cutting-edge technologies. This period focuses on building minimum viable products that demonstrate fundamental backup and recovery capabilities.

October 2025

Testing and Optimization

Extensive testing phases commence with simulated disaster scenarios to validate system reliability and performance. Students collaborate with local technology companies to test their solutions in controlled production-like environments, gathering valuable feedback that drives final optimizations and security hardening measures before project completion.

December 2025

Final Presentations and Industry Showcase

Completed projects are presented to industry panels including representatives from major Malaysian technology firms and government agencies. Students demonstrate their solutions' practical applications while defending their technical choices and discussing potential commercialization opportunities. Several projects receive recognition for innovation and technical excellence.

Featured Student Developer

Priya Chen

Bachelor of Computer Science • Cloud Systems Specialization

Working on the multi-cloud disaster recovery platform taught me that real-world backup solutions require much more than just copying files. We spent months understanding how different cloud providers handle data consistency and learned to build systems that can gracefully handle network partitions and service outages. The most challenging part was implementing cross-cloud synchronization while maintaining data integrity—but seeing our system successfully recover a test database in under four minutes made all those late nights worthwhile.

Cloud Architecture Python Development System Design DevOps