Summer 2025 Computing Seminars

The School of Computing hosted its Summer Term 2025 Computing Seminar Series, highlighting the breadth and quality of postgraduate research across the School. The weekly seminars provide a platform for postgraduate research students and academics to share emerging work, foster scholarly discussion, and strengthen the School’s research culture.

The series opened with a presentation by Thavendran Janahan (MSc Computing by Research) on Task Scheduling with Predictive Bandwidth Awareness (TSPBA) in mobile-cloud computing. His research applied machine learning to anticipate network bandwidth variation, enabling more efficient task offloading and reduced latency in mobile-edge environments, while also addressing challenges associated with real-world deployment.

Ayesha Tariq (MSc Computing by Research) presented a study on the impact of gamification metrics on user engagement and behaviour change in fitness applications. Using surveys and interviews, her work evaluated behavioural, cognitive, emotional, and social factors, offering evidence-based guidance for the ethical and effective design of digital health applications.

Bilal Saddique (MSc Computing by Research) presented his research on adaptive, real-time recommender systems for e-commerce. His work addressed the limitations of static recommendation models by integrating multiple data streams, including user behaviour and market signals, to support continuous learning and improved personalisation, with applications extending beyond e-commerce.

Ashish Devkota (MSc Computing by Research) examined advanced detection and mitigation strategies for Distributed Denial of Service attacks in Internet of Things environments. His research explored machine-learning-based security frameworks capable of addressing resource constraints and evolving attack patterns.

PhD candidate Cedric Nnah presented his research on improving the scalability, explainability, and robustness of AI-powered intrusion detection systems. His work highlighted the importance of explainable AI in building trustworthy and deployable cybersecurity solutions.

The series concluded with a presentation by PhD candidate Isuri Gatamanna Arachchige on early Alzheimer’s disease identification using multi-omics data and interpretable artificial intelligence. Her research aimed to support early diagnosis through transparent biomarker discovery.

Overall, the seminar series demonstrated the School of Computing’s strong postgraduate research environment and its commitment to impactful, interdisciplinary research.