Roadmap – Cloud Experience Research Group

Core Theme (2026-2029): Using AI to write/test code and optimizing cloud architecture for cost efficiency.

Student Level	Year 1 (July 2026 – 2027)	Year 2 (July 2027 – 2028)	Year 3 (July 2028 – 2029)
Bachelor (BSc)	AI-Assisted Testing: Automating standard code reviews and testing pipelines using AI tools.	Automated Component Tracking: Building tools to automatically list and track all third-party software parts used in an app.	Auto-Fixing Bots: Creating small AI bots that can read basic bug tickets and automatically write patches.
Master (MSc)	Cost-Aware Architecture: Designing cloud applications that automatically adjust themselves to minimize server costs.	Built-In Security: Creating systems that automatically scan for and block vulnerabilities the moment code is written.	AI Dev Teams: Building frameworks where multiple AI bots work together to plan, code, and deploy software.
PhD	AI-First Software Rules: Creating the foundational engineering standards for software that is built entirely by machines.	Self-Healing Systems: Designing enterprise networks that automatically detect crashes or hacks and fix themselves without going offline.	Managing AI Workforces: Developing methods to oversee and orchestrate massive teams of AI “developers” across global systems.

Core Theme (2026-2029): Building smarter cloud networks and AI systems that understand human emotions.

Student Level	Year 1 (July 2026 – 2027)	Year 2 (July 2027 – 2028)	Year 3 (July 2028 – 2029)
Bachelor (BSc)	Smart Device Processing: Building IoT devices that process data locally instead of sending everything to the cloud.	Emotion-Reading Chatbots: Creating chatbots that can tell if a user is happy or frustrated based on their text.	Green Cloud Apps: Writing lightweight cloud functions designed specifically to use as little electricity as possible.
Master (MSc)	Local AI Training: Designing systems where AI learns directly on the user’s phone or laptop to save network bandwidth and protect privacy.	Combined Emotion Sensors: Building tools that analyze video, voice tone, and text all at once to understand user moods accurately.	Smart Data Routing: Creating algorithms that automatically move computing power closer to where the data is stored to reduce lag.
PhD	Brain-Inspired Cloud: Researching cloud hardware and software architectures that mimic how the human brain processes information.	Scattered AI Systems: Designing massive AI programs that can run smoothly in pieces across both local devices and remote servers.	Zero-Lag Networks: Developing highly predictive cloud systems that allocate server resources so perfectly that users experience zero delay.

Core Theme (2026-2029): Virtual/Augmented Reality (XR) learning, smart AI tutors, and keeping educational servers running smoothly.

Student Level	Year 1 (July 2026 – 2027)	Year 2 (July 2027 – 2028)	Year 3 (July 2028 – 2029)
Bachelor (BSc)	AR Learning Apps: Building Augmented Reality apps to help students visualize basic science and math concepts.	Smart Quizzes: Creating testing apps that automatically make questions harder or easier depending on how well the user is doing.	Focus Tracking: Prototyping systems that use typing speed or eye-tracking to see if a student is paying attention.
Master (MSc)	AI Personal Tutors: Designing conversational AI bots that act as personal teachers to guide students through their courses.	VR Job Simulators: Building fully immersive Virtual Reality environments for hands-on, high-risk job training (like engineering or medicine).	Smooth E-Learning Servers: Creating algorithms to prevent school servers from crashing when hundreds of students load heavy VR or video files.
PhD	Emotion and Learning: Studying the exact relationship between a user’s stress/emotion levels and how well they learn from software.	Auto-Generated Lesson Plans: Researching AI that completely rewrites and customizes a syllabus on the fly based on what the student struggles with.	Global Education Networks: Designing complex systems to efficiently distribute massive amounts of educational computing power across the globe.