My research covers five main topics. The first topic is adaptive system architectures. My main contributions in the area are the development of programming abstractions for adaptive control and techniques for observing and analyzing system behavior. My second topic is support for multimedia applications, including continuous media. My main contributions within this topic are applying formal specifications of quality of service management (QoS) to the configuration of the running environment for multimedia applications and the development of explicit binding architectures for multimedia communication. The third theme is support for mobility and context-sensitive systems. This includes observing changes in the environment and offering the best possible service based on these observations (for example in the personalization of services). My main contributions are context-sensitive configuration and reconfiguration based on current context and support for integration of a wide range of services and information resources. My fourth theme is security. My main contributions here are research around adaptable security mechanisms, development of secure and user-friendly storage and sharing of information, combination of secure multiparty computation (SMC) and public key technology to solve problems around privacy and analysis of data (including health data), and security in the context of mobile devices, NFC and secure elements (SIM cards). The fifth main theme is within AI and machine learning (ML). My main contributions here are within system and programming support when implementing solutions that use ML.

The research page of Anders Andersen

Professor Anne Håkansson research lies within Computer science with the focus on Artificial Intelligence, and reasoning strategies, for different application areas, among others e-business, environmental impact assessment, and context. Especially, Håkansson has conducted research within Knowledge-based systems and Knowledge Base modelling, Reasoning, Graphic Representation, Visualisation, Visual Programming, Declarative Programming, Multi-agent systems, and Meta-agents.

Currently Professor Håkansson conducts research within Cyber-Physcial Systems, Reasoning and Negotiation in Computer Systems, Sustainability and  Artificial Intelligence for combining senses. This includes Event-driven algorithm for searching in network, Smart cities and Smart sociteies Ontologies, and Contexts.

Volatile Multiple Smart Systems, VoLM2s (for stationary and mobile systems, e.g. CPS, IoT): 

• Next generation of smart systems – multiple connected systems that are only connected in some situations or for some purposes. 
• Volatile – the situation decides the incorporated systems – data and information exchange is lost when systems are out of the communication sphere.
• Smart everywhere: Collaborations between different systems, everywhere; Co-operations to perform complex tasks
• Complex and situation-dependent data
• Generalize in heterogeneous environments

The systems are a part of the Volatile Distributed Multi Smart Network.

Health Informatics

Artificial Intelligence

Smart Health

High North Population Studies

Distributed Systems

1. Distributed Data Systems

2. Semantic Web

3. Machine Learning