Prapa Rattadilok is the Head of Computer Science and Applied Computing and Reader in Computer Science.
Prapa Rattadilok
Prapa Rattadilok obtained a PhD in Computer Science and an MSc in Engineering. She is a Senior Fellow of Advance HE (formerly known as Higher Education Academy). She is currently the Head of Computer Science and Applied Computing and Reader in Computer Science.
Previous Experience:
- Head, Computer Science and Mathematics, and Professor, at KIMEP University, Kazakhstan.
- Deputy Head, Foundation and Software Engineer, and Principal Lecturer, at University of Hertfordshire, UK.
- Assistant Professor at University of Nottingham, UK.
- Senior Lecturer at De Montfort University, UK.
- Research Fellow at Robert Gordon University, UK.
- Research Associate at University of Sheffield, UK.
- Research Assistant at British Telecom, UK.
Recent Modules Taught:
- Structured Programming (BSc Level 4)
- Computing Things (BSc Level 5).
- Real-time and Control Systems (BSc Level 6).
- Advanced Research Topics in Computer Science (MSc)
Recent Programmes Led:
- MSc in Artificial Intelligence and Robotics.
- MSc in Software Engineering.
- MSc in Cyber Security.
- MSc in Forensics for Practitioner.
Prapa’s research has focussed around real-time, automated decision making in the fields of telecoms, healthcare and scheduling. As a PhD topic, she worked on the use of hyper-heuristics to transparently optimise scheduling problems in real world situations. Post-doctoral research included automated monitoring and intervention in intensive care patients, optimal strategies in telecoms networks and unmanned aerial vehicle control and security processing. More recently she has worked on novel methods to monitor and manage patients on the autism spectrum using a diverse sensing environment and data-fused decision making. She also has an active interest in novel teaching methods in a tertiary environment. These projects resulted in several high-quality journal and conference publications and successful grant applications.
Research interests
- Data science: anomaly detection, fault analysis, situation awareness.
- Applications: biomedical intelligent systems, recommendation systems, smart home, robotics, sensor network.
- Optimisation: heuristics, evolutionary algorithms, neural network, machine learning techniques.
- Network management: programming of distributed systems and visualisation.
- Internet of Things (IOT): fusing data from a variety of sources, embedded devices.
- Autonomous systems: real-time data-driven decision making,
- Novel pedagogical methods: gamification, machine learning assistance, learning platform mining.
- Deng, L., Ratavijia, S., Rattadilok, P. (2023). Implementing a participatory design approach to create a sensory-friendly public space for children with special needs. Innovative Public Participation Practices for Sustainable Urban Regeneration, Springer.
- Deng, L., Rattadilok, P. (2022). A Sensor and Machine Learning-Based Sensory Management Recommendation System for Children with Autism Spectrum Disorders. Sensors, vol. 22 (15).
- Deng, L.; Rattadilok, P.; Xiong, R. (2021). A Machine Learning-Based Monitoring System for Attention and Stress Detection for Children with Autism Spectrum Disorders. In Proceedings of the 3rd International Conference on Intelligent Medicine and Health, Macau, China, 13-15 August 2021; pp. 23-29.
- Deng, L., Rattadilok, P., Hadian, G. S.., and Liu, H. (2021). Effect of Sensory-Based Technologies on Atypical Sensory Responses of Children with Autism Spectrum Disorder: A Systematic Review. International Conference on E-Society, E-Education and E-Technology.
- Deng, L., and Rattadilok, P. (2020). The need for and barriers to using assistive technologies among individuals with Autism Spectrum Disorders in China. The Journal of Assistive Technology.
- Lamb, D., Knowles, L., Rattadilok, P., Towey, D., and Walker, J. (2020). Can Clicker Technology and the latest Online Response Systems enhance Student Engagement? A Comparative Study of two Approaches. In: Hong, C., and Ma, W. (eds.). Applied Degree Education and the Future of Work, Springer, pp.287-301.
- Rattadilok, C., Chirapphapa, P, and Rattadilok, P. (2020). Mastectomy with Immediate Latissimus Dorsi Flap Reconstruction by the Extended Latissimus Dorsi Flap Technique. The Thai Journal of Surgery, 42 (2), pp. 52-64.
- Rattadilok, C., Chirapphapa, P, and Rattadilok, P. (2020). Nipple Sparing Mastectomy in Breast Cancer Patients. The Thai Journal of Surgery, 41 (3), pp. 65-78.
- Rattadilok, P. (2019). Sino-UK Educational Differences: The Impacts of Cultures and the Current Educational Curricular on Students in Computer Science. In Carter, J. and Rose, C. (eds.), Transnational Higher Education In Computing Courses: Experiences and Reflection (Springer), pp. 39-59.
- Roadknight, C., Zong, G., and Rattadilok, P. (2019). Improving Understanding of EEG Measurements using Transparent Machine Learning Models. In: Wang, H., Siuly, S., Zhou, R., Martin-Sanchez, F., and Zhang, Y., Huang, Z. (eds.) Health Information Science, Vol. 11837, pp. 134-142.
- Xue, Z. Yang, L., and Rattadilok, P. (2019). Quantifying the Effects of Temperature and Noise on Attention-Level using EDA and EEG Sensors. In: Wang, H., Siuly, S., Zhou, R., Martin-Sanchez, F., and Zhang, Y., Huang, Z. (eds.) Health Information Science, Vol. 11837, pp. 250-262.
- Towey, D., Knowles, L., Lamb, D., Rattadilok, P., Walker, J. (2019). Challenges to Innovation: Obstacles Encountered on a Journey to Engage Students. International Conference on Open and Innovative Education, pp. 182-192.
- Towey, D., Lamb, D., Walker, J., Knowles, L., and Rattadilok, P. (2019). Exploring Device-based Classroom Interaction Enhancement at the First Sino-foreign Higher Education Institution. International Teaching and Learning Conference.
- Knowles, L., Lamb, D., Rattadilok, P., Towey, D., Walker, J. (2019). Are we Using Technology for Its Novelty Value or Because it is Useful? HEA Academy.
- Bremner, D. J., Le Kernec, J., Fioranelli, F., Dale, V. H. M., Rattadilok, P. (2018). The Use of Multiple-choice Questions in 3rd Year Electronic Engineering Assessment: A Case Study. IEEE International Conference on Teaching, Assessment, and Learning for Engineering, pp. 887-892.
- Rattadilok, P. and Roadknight, C. (2018). Improving Student’s Engagement through the Use of Learning Modules, Instantaneous Feedback and Automated Marking. IEEE International Conference on Teaching, Assessment, and Learning for Engineering, pp. 802-806.
Living History - A Smart Tourism Application for Thailand. £160,000 funded by National Research Council of Thailand.
- Roomie - a Sensory Management Recommendation System to Assist Autism Spectrum Individuals. £120,000 funded by Ningbo Government’s 3315 plan.
- Quality of Experience: Detection of Problems and Anomalies on Broadband Networks from Active Measurement Data. £45,000 funded by British Telecom.
- Autonomous Data Fusion Framework for Large Scale Measurement Platforms. £45,000 funded by British Telecom and the Data Lab.
- Early Career Industrial Fellowship. £35,000 funded by The Scottish Informatics and Computer Science Alliance (SICSA).
- Using Autonomous Agents to Educate Children on Autistic Spectrum Disorder about the Impact of Their Behaviour, £54,000 funded by University of Hertfordshire.
- A Sensor and Artificial Intelligence-Enabled System for Sensory Regulation of Individuals with Autism Spectrum Disorders, £52,000 funded by University of Nottingham.
- Supporting Parental Stress for Parents of Autistic Spectrum Individuals, £52,000 funded by University of Nottingham.
- Pandemic Blended Learning Based on Academics and Student Learning Preference, £6,000 funded by University of Nottingham.
- Improving student interaction and engagement: Do device based student engagement and interactivity platforms result in tangible improvements in interactivity and engagement?. £4,500 funded by University of Nottingham.
- Addressing Research and Development Gap for Autism Spectrum Individuals in Special Educational Needs Schools in China, £3,500 funded by Nottingham Healthcare Institute.
Dr Prapa Rattadilok
Head, Computer Science and Applied Computing.
Email: p.rattadilok@londonmet.ac.uk