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 method 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.

• 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.

PhD Supervision:

• Current supervision: Sensory Management Recommendation Systems for Children with Autism.
• Successful supervision:
  • Crash Sensing for Autonomous Vehicles.
  • Detecting Live Forensic Memory Acquisition using Attribute Fingerprinting.
  • Robust Botnet Detection Techniques for Mobile and Network Environments.

• Programming: C/C++, JAVA
• Databases and Web Programming: SQL, HTML, JavaScript, PHP, CSS
• Internet of Things, Distributed Systems and Embedded Systems: MPI, ESP32, Arduino

• British Telecom:
  • Quality of Experience: Detection of Problems and Anomalies on Broadband Networks from Active Measurement Data. 
  • Autonomous Data Fusion Framework for Large Scale Measurement Platforms. 
  • A part of EU FP7-ICT project.
• International High-level Talent of China's 3315 Plan: 
  • A Sensory Management Recommendation System for Children with Autism.
  • A collaboration with Elim Autism School, Ningbo Kangning Hospital, Xinhua Net, Ningbo Autistic Families Support Group, Acorn Play House, Yinzhou Little Star Exceptional Children Training Department.
• The Scottish Informatics and Computer Science Alliance (SICSA):  Early Career Industry Fellowship.
• Sheffield Teaching Hospital and Nottingham Univerity Hospital: 
  • A methodology to monitor and administer suitable drug, fluid and oxygen levels using a close loop patient simulation.
  • A part of EPSRC project.