Current Students
Start year: 2025
Start year: 2025
Start year: 2026
Start year: 2027
Start year: 2027
Start year: 2025
Start year: 2025
Start year: 2026
Start year: 2027
Start year: 2027
Start year: 2026
Start year: 2026
Start year: 2026
Start year: 2026
Start year: 2025
Start year: 2025
Start year: 2025
Start year: 2025
Start year: 2025
Start year: 2025
Start year: 2025
Start year: 2025
Start year: 2025
Past Students
Research project: SerenCoach 2.0: A multimodal AI-driven mobile-based persuasive technology that assesses anxiety and depression risk through facial expressions, text analysis, voice analysis, and keystroke dynamics, and then provides behaviour change interventions based on the predicted risk level.
Start year: 2024
Graduation term: Winter 2025
Research project: Design and develop an AI-driven collaborative fitness application that promote group-based physical activity, such as walking, running, and cycling. By leveraging AI-powered user recommendations and real-time tracking, the application enhances social interaction and motivation for achieving fitness goals.
Start year: 2024
Graduation term: Winter 2025
Research project: ReflectAI (Phase 1): Develop a multimodal AI system for real-time emotion detection from text, voice, and image/video, and deploy as an application programming interface (API).
Start year: 2024
Graduation term: Winter 2025
Research project: ReflectAI (Phase 2): Design and develop an AI-powered digital emotion/mood journal for promoting mental well-being. The digital journal integrates with the multimodal AI system from phase 1 to deliver emotion-adaptive behaviour change interventions.
Start year: 2023
Graduation term: Winter 2025
Research project: MindfulMenu: An AI-driven personalized and persuasive mobile application for promoting mindful eating through real-time behavioural analysis and adaptive feedback
Start year: 2023
Graduation term: Winter 2025
Research project: An AI-driven persuasive navigation system for promoting safe travels
Start year: 2024
Graduation term: Winter 2025
Research project: CalmMe (Phase 1): Develop and deploy a backend system for real-time stress detection based on heart rate variability (HRV) using deep learning and FastAPI.
Start year: 2023
Graduation term: Fall 2024
Research project: CalmMe (Phase 2): Design and develop an AI-driven persuasive mobile application for stress management while leveraging Apple Watch sensor (for heart rate variability tracking) and the deep learning model from phase 1 for real-time stress detection.
Start year: 2023
Graduation term: Fall 2024
Research project: SerenCoach: An intelligent mobile application that assesses anxiety and depression risk levels using large language model (LLM) and then delivers evidence-based therapeutic interventions to individual users based on their risk level.
Start year: 2023
Graduation term: Fall 2024