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Dr Prapa Rattadilok

Job: VC2020 Senior Lecturer

Faculty: Technology

School/department: School of Computer Science and Informatics

Research group(s): Cyber Technology Institute (CTI) (Cyber Security Centre (CSC))

Address: De Montfort University, The Gateway, Leicester, LE1 9BH

T: 0116 257 7548

E: prapa.rattadilok@dmu.ac.uk

W: www.dmu.ac.uk/csc

 

Personal profile

Dr Rattadilok has been working in the fields of Computer Science and IT for over 10 years with experience of a wide range of applications and programming languages. She has tackled projects that covered important research topics, such as anomaly detection, situation awareness, biomedical intelligent systems, heuristic optimisation, neural networks, network management, programming of distributed systems, evolutionary algorithms, tabu search, data mining and visualisation. She has extracted the requirements and knowledge from the medical professionals and produced an algorithm to monitor and administer suitable drug, fluid and oxygen levels using a closed loop patient simulation. More recently she developed algorithms for anomaly detection and applied them successfully to smart home, robotics and sensor network datasets. She has made several successful funding proposals from both private and public sector sources.

Dr Rattadilok has experience of both undergraduate and postgraduate lecturing in Computer Science related subject areas. Her MSc in Internet and Multimedia Engineering was awarded with distinction. Her MSc project was funded by British Telecom and the project is entitled “Future network management, control and visualisation”. Her PhD is entitled “An Investigation and Modification of a Hyper-heuristic Framework”. Her first Post-Doctoral position was at the University of Sheffield. The research was funded by EPSRC and collaborated with Sheffield Teaching Hospitals NHS Trust. The project focussed on “Goal Directed Trajectory Modelling of Therapeutic Pathways for Septic Shock Patients”. Her second Post-Doctoral Position was at Robert Gordon University. The research was funded by Selex ES where the objective was to design an Inferential Measurement system for Enhancing Situation Awareness. This work focussed on data from Unmanned Aerial Systems/Vehicles. The success of this project led to a successful funding proposal with British Telecom for which she was the Principal Investigator. The project was entitled Quality of Experience: Detection of Problems and Anomalies on Broadband Networks from Active Measurement. The success of this project has led to a follow-on project where the developed algorithm is used on British Telecom network management dashboard.

Research group affiliations

Cyber Security Centre

Areas of teaching

Qualifications

PhD

University of Leeds, UK and Assumption University, Thailand

Thesis Title: An Investigation and Modification of a Hyper-heuristic Framework 

MSc in Internet and Multimedia Engineering (awarded with Distinction)

South Bank University, UK

Project Title: Future Network Management, Control and Visualisation for British Telecom 

BBA Bachelor in Business Administration

Major Computing

Assumption University, Thailand

Project Title: Intranet Web Site for Petroleum Authority of Thailand

Honours and awards

Early Career Industrial Fellowship - The Scottish Informatics and Computer Science Alliance (SICSA)

Recent research outputs

IEEE Big Data. 29th Nov – 1st Oct 2015. A Data Fusion Framework for Large-Scale Measurement Platforms. Rattadilok, P., McCall, J., Burbridge, T., Eardley, P. and Soppera, A. Funded by British Telecom. 

IEEE Symposium on Computational Intelligence for Embeded and Cyberphysical Systems. 7th – 10th December 2015. Intelligent Measurement in Unmanned Aerial Cyber Physical Systems for Traffic Surveillance. Petrovski, A. and Rattadilok, P. Funded by Selex ES. 

International Conference on Security of Information and Networks. 8th – 10th September 2015. Designing a Context-Aware Cyber Physical System for Detecting Security Threats in Motor Vehicles. Petrovski, A., Rattadilok, P. and Petrovski, S. Funded by Selex ES. 

IEEE Symposium on Computational Intelligence in Evolving and Autonomous Learning Systems. 9th – 12th December 2014. Self-learning Data Processing Framework Based on Computational Intelligence: Enhancing Autonomous Control by Machine Intelligence. Rattadilok, P. and Petrovski, A. Funded by Selex ES. 

IEEE Sysmposium on Computational Intelligence in Computational Intelligence in Control and Automation. 9th – 12th December 2014. Automated Inferential Measurement System for Traffic Surveilance: Enhancing Situation Awareness of UAVs by Computational Intelligence. Rattadilok, P. and Petrovski, A. Funded by Selex ES. 

Intelligent Data Engineering and Automated Learning. 20th – 23rd Oct 2013. Anomaly Monitoring Framework based on Intelligent Data Analysis. Rattadilok, P. and Petrovski, A. Funded by Selex ES. 

IEEE Computational Intelligence and Virtual Environments for Measurement Systems and Applications. 15th – 17th July 2013. Inferential Measurements for Situation Awareness – Enhancing Traffic Surveillance by Machine Learning. Rattadilok, P. and Petrovski, A. Funded by Selex ES. 

The International Federation of Automatic Control Symposium on Biological and Medical Systems. 29th – 31st August 2012. Suggestive Therapeutic Pathways Using Hyper-heuristics. Biological and Medical Systems. Rattadilok, P., Mahfouf, M., Ross, J., Mills, G., Panoutsos, G., Zeghbib, A. and Denai, M. EPRSC (Goal-Directed Trajectory Planning of Therapeutic Pathways for Septic Shock Patients).

Externally funded research grants information

Project Title: Inferential Measurement Systems for Enhancing Situation Awareness

Funding Agency: Selex ES

Start Date: 01/10/2012

End Date: 30/09/2014

Role in Project: Research Fellow

Collaborators: Selex ES 

 

Project Title: Quality of Experience: Detection of Problems and Anomalies on Broadband Networks from Active Measurement Data

Funding Agency: British Telecom

Start Date: 01/10/2014

End Date: 30/09/2015

Role in Project: Principal Investigator

Collaborators: British Telecom

 

Project Title: Early Career Industry Fellowship

Funding Agency: The Scottish Informatics and Computer Science Alliance (SICSA)

Start Date: 01/10/2014

End Date: 30/09/2015

Role in Project: Principal Investigator

Collaborators: British Telecom

 

Project Title: Quality of Experience: Real-time Data Fusion for Large Scale Measurement Platforms

Funding Agency: British Telecom and the Data Lab

Start Date: 01/10/2015

End Date: 31/03/2016

Role in Project: Principal Investigator

Collaborators: British Telecom and the Data Lab

Prapa-Rattadilok-5310

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