Overview of the Summer 2025 Computing Seminar Series
The School of Computing at the University of Buckingham launched its Summer Term 2025 Computing Seminar Series on 18 December 2025. The series, held weekly throughout the summer, served as a platform for postgraduate research students and faculty to present cutting‑edge work, stimulate scholarly debate, and reinforce the School’s research culture. Each session highlighted a distinct research area, ranging from mobile‑cloud computing to cybersecurity, digital health, e‑commerce recommendation systems, and biomedical data analytics.
Key Themes Covered in the Series
1. Mobile‑Cloud Task Scheduling with Predictive Bandwidth Awareness
Thavendran Janahan presented his MSc Computing by Research project on Task Scheduling with Predictive Bandwidth Awareness (TSPBA). By applying machine‑learning models to forecast network bandwidth fluctuations, Janahan’s work enables more efficient off‑loading of computational tasks to edge devices, reducing latency and improving user experience in mobile‑edge environments. The research also addresses real‑world deployment challenges, such as variable connectivity and energy constraints.
2. Gamification Metrics in Fitness Applications
Ayesha Tariq explored how gamification can influence user engagement and behaviour change in fitness apps. Her study combined surveys and interviews to evaluate behavioural, cognitive, emotional, and social factors. The findings provide evidence‑based guidance for designing ethical and effective digital health interventions, a growing area of interest for both academia and industry.
3. Adaptive Real‑Time Recommender Systems for E‑Commerce
Bilal Saddique’s MSc research tackled the limitations of static recommendation models. By integrating multiple data streams—including user behaviour and market signals—his adaptive recommender system supports continuous learning and improved personalisation. The approach has potential applications beyond e‑commerce, such as content curation and personalized learning platforms.
4. Machine‑Learning‑Based Security for IoT
Ashish Devkota examined advanced detection and mitigation strategies for Distributed Denial of Service (DDoS) attacks in Internet of Things (IoT) environments. His research proposes machine‑learning‑based security frameworks that can operate within the resource constraints of IoT devices while adapting to evolving attack patterns.
5. Explainable AI in Intrusion Detection
PhD candidate Cedric Nnah presented work on improving the scalability, explainability, and robustness of AI‑powered intrusion detection systems. By emphasising explainable AI, his research aims to build trustworthy and deployable cybersecurity solutions that can be audited and understood by security analysts.
6. Early Alzheimer’s Disease Identification with Multi‑Omics Data
Isuri Gatamanna‑Arachchige concluded the series with a PhD presentation on early Alzheimer’s disease identification using multi‑omics data and interpretable artificial intelligence. The research seeks to support early diagnosis through transparent biomarker discovery, potentially accelerating therapeutic interventions.
Impact on the School’s Research Culture
The seminar series reinforced the University of Buckingham’s commitment to interdisciplinary research and practical impact. By showcasing diverse projects—from cloud computing to biomedical analytics—the series highlighted the breadth of expertise within the School of Computing. It also provided students with valuable feedback from peers and faculty, fostering a collaborative environment that accelerates innovation.
Benefits for Prospective Postgraduate Students
For students considering a postgraduate research degree, the seminar series offers several tangible benefits:
- Insight into Current Research: Attendees gain firsthand exposure to the latest methodologies and real‑world applications.
- Networking Opportunities: Presenters and audience members can connect with researchers, potential supervisors, and industry partners.
- Skill Development: Presenting research hones communication skills essential for academic and industry careers.
- Career Pathways: The interdisciplinary nature of the projects demonstrates how computing research can translate into diverse sectors.
How to Get Involved
Students and researchers interested in participating can explore the following options:
- Apply for an MSc Computing by Research or PhD Computing program to contribute to cutting‑edge projects.
- Attend future seminar series to stay updated on emerging trends.
- Collaborate with faculty on research proposals that align with your interests.
Next Steps for Interested Applicants
If you are ready to pursue a postgraduate research degree that combines theoretical rigor with practical impact, the University of Buckingham offers a supportive environment and a strong research network. The School of Computing welcomes applications from candidates with a background in computer science, data science, or related fields.
Ready to take the next step? Submit your application today and join a community that values innovation and real‑world impact.
Have questions about the application process or the research opportunities? Contact the admissions office for personalized guidance.
Want to learn more about the research projects presented in the seminar series? Explore the School of Computing research page for detailed project descriptions and faculty profiles.
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Share your thoughts or experiences with computing research in the comments below. Your feedback helps us improve future seminar series and support the next generation of researchers.
