Head of Doctoral Programme: Associate Professor Karl Sperling

The Doctoral Programme in Planning and Development combines research activities in the Department of Planning. The PhD research activities are also linked with the Danish Building Research Institute (Department of Build Environment) and Center for Communication and Media and Information Technologies (Department of Electronic Systems).

Research within the programme is wide ranging and inter-disciplinary, and deals with the organisation, management and design of technology, environmental governance and management at societal and at company level, urban and mobility planning, societal infrastructural systems, architecture, urban design, and industrial design.

In the program there is a strong emphasis on the planning and management dimensions, focusing on the policies and other regulatory instruments that are used in relation to technological, infrastructural and urban development projects, and environmental policy and planning. Furthermore, the physical dimension and design of buildings, artefacts and urban spaces are of central concern.
 

Research draws on perspectives from the engineering sciences, as well as from relevant social sciences. It is most often interdisciplinary and problem-oriented, seeking to identify practical alternatives for solving particular management and planning problems. The research environment consists of academics with different professional backgrounds, representing a wide range of academic disciplines. PhD research is carried out in partnership with a wide range of external public and private sector bodies.

Head of Doctoral Programme: Professor Matthias Rehm

The Doctoral Program in Media, Architecture & Design is a broad inter-disciplinary program that focuses on design where the end-user and stakeholders have a central role in the research perspectives. Emphasis is placed on architecture, design & media focusing on the technical, social, and aesthetic dimensions. Construction and form of buildings, urban landscapes and spaces as well as design of artefacts, interactive media and art installations are of central concern. Special emphasis is on design and technology in the field of environmental and social sustainability; aesthetics and experiences; relational art; interaction design; and design, media and architecture as tools for local and international development – and for 'a better world'.

Research within the program is wide ranging and inter-disciplinary and concerns:

- Architecture (sustainable architecture, performative architecture, healing architecture)

- Urban Design (urban architecture, urban transformation, urban space, urban culture /life)

- Mobility (designing mobilities and infrastructures)

- Interaction design (responsive environment, experience design, service design)

- Media Art (relational art/performative art and technology)

- Industrial Design (design of artefacts, design processes)

- Research through Design

As the focus is on design as a constructing praxis, there is an interest in developing new research approaches such as practice-based research, research by design and participatory design processes. Several research projects under the program are working with experiments in a scale of 1:1 – or they have the goal to develop new designs, architecture or prototypes that can facilitate trials and experiments with participation of the goal end-users and stakeholders. Often, research, development and experimentation is carried out together with external private or public partners. Our goal is to strengthen and develop theories and methods for research by or through design. In addition, we aim to strengthen the relationship and invoke collaboration between research and praxis and develop research tools to enable these developments.

The Research Environment is Interdisciplinary and Problem-Oriented

The research draws on perspectives from engineering research, as well as from relevant design, architecture, media technology, human centered computing and social research disciplines. As a interdisciplinary and problem-oriented approach, we seek alternatives for solving particular problems within productions, social and public services, buildings, local neighborhoods, cultural enterprises and the urban fabric as such.

The research environment consists of academics with different professional backgrounds, representing a wide range of academic disciplines. PhD research is carried out in partnership with a wide range of external public and private sector bodies.

Head of Doctoral Programme: Zheng-Hua Tan 

The Electrical and Electronic Engineering programme at Aalborg University was established in 1992. It offers a programme based on cooperation between the Department of Electronic Systems and Department of Architecture, Design and Media Technology, all at Aalborg University, covering almost all aspects of electrical and electronic engineering (with the area of telecommunications as one of the few exceptions, since that area has a separate Doctoral Programme at Aalborg University).

The programme focuses on the following themes within electrical and electronic engineering:

Mathematical and computational techniques for automation and control, including modelling, estimation, monitoring, and control of systems and processes.
All aspects of automation, including modelling, adaptive and robust control, the development of fault tolerant systems and distributed real-time systems.
The nature of control, cognition, computing and systems in robotics.
Acoustics and sound, including generation, transmission and propagation of sound, human sound perception, electronic systems for measurement, processing and analysis of sound, reproduction of sound, in particular the binaural technique for generation of three dimensional sound, measurement of noise, audio systems etc.
Medialogy with focus on the fusion of new media technologies for next generation technology such as human-computer interfaces for computer games, digital homes and advanced human-computer communication.
Computer vision, graphics and virtual reality, including such topics as motion and action analysis and recognition, colour analysis and interpretation, augmented reality, and scene light estimation. 

Head of Doctoral Programme:  Professor Bent Thomsen

The programme mainly serves the Department of Computer Science (CS) , but PhD students with computer science related topics from other departments may also be enrolled.

The CS department's research has software, use and performance of software, as well as information and data as its subject. In particular there is research in use of software in organisations, software engineering, management of software engineering, human-computer interaction, programming and languages, data management, data analysis and data mining, techniques for decision support, machine learning, autonomous agents, networks and protocols, techniques and models for distributed and parallel software, and tests.

The research approach is fundamentally constructive and embraces analytical mathematical research, experimental research with algorithms, systems, techniques and methodologies, as well as analytical empirical research.

The department's research is conducted within the following four research groups.

Data Engineering, Science and Systems (DESS)

The research concerns data management and analytics, including query processing, data mining, and machine learning. The group focuses on spatio-temporal, multidimensional, time-series, and metric data. Targeting value creation from data, the research is generally constructive in nature, spans foundational topics and advanced applications, and embraces a data science approach. Key applications are in intelligent transportation and digital energy.

 

Distributed, Embedded and Intelligent Systems (DEIS)

Distributed, Embedded and Intelligent Systems (DEIS) emphasizes foundational and logical theories, algorithms and tools for verification and validation, methodologies for real-time and embedded systems, networks and operating systems, probabilistic graphical models, machine learning, and programming technologies.

 

Data, Knowledge and Web Engineering (DKW)

The research focuses on data engineering, data science, and advanced machine learning methods. We participate in a number of cross-disciplinary research efforts in different areas, including bio science, health, and sustainability assessment, and closely collaborate with other groups and departments. Our joint ambition is to bring meaning to large amounts of heterogeneous data and exploit it in the best possible way for a broad range of use cases and applications.

 

Human-Centered Computing (HCC)

Human-Centered Computing (HCC) emphasizes the design, development, and use of interactive computer systems from a human-centered perspective, including software development, digitalization, human-computer interaction, interaction design, user experience, and Innovation.

Head of Doctoral Program: Cedomir Stefanovic

The Doctoral Programme Wireless Communications is affiliated with the Department of Electronic Systems (ES). The programme hosts and supports doctoral studies related to the research activities of the ES Department in wireless communications.
Most research groups hosted in the ES Department research on relevant aspects of modern wireless communications.

The researchers in these research groups considered altogether constitute a pool of competence covering a broad scientific spectrum, including radio propagation characterization, RF hardware and antenna design, advanced transceiver design, Over The Air testing, multi-media (voice, audio, video, etc.) signal processing, cellular and ad-hoc networks and protocol optimization, Mobile programing and M2M communication. Human-machine interface including possible health risk and satellite-based positioning are also addressed.

Research Areas includes the following:

• Antennas and Propagation
• RF Integrated Systems and Circuits
• Information and Signal Processing in
• Communications
• Speech and Multimedia Communications
• Over The Air testing
• Satellite and Terrestrial based Positioning
• Embedded Systems
• Centralized and Decentralized Wireless
• Networks
• M2M (Machine to machine) communication