Search
Close this search box.

Projects

Projects are the key driver in DIREC. In total, we have initiated more than 40 projects. All projects are collaboration projects between several partners.

Bridge projects

Bridge projects are multidisciplinary research and innovation projects directed by DIREC researchers in collaboration with companies, the public sector and GTS institutes with the aim of increasing the companies’ digitalisation and innovation capacity.

Bridge project

Automatic Tuning of Spin-qubit Arrays

Spin-qubit quantum-dot arrays are one of the most promising candidates for universal quantum computing. However, with the size of the arrays, a bottleneck has emerged: Tuning the many control parameters of an array by hand is time-consuming and very expensive. The nascent spin-qubit industry needs a platform of algorithms that can be fine-tuned to specific sensing hardware, and which allows cold-start tuning of a device.

Read More »
Bridge project

Verified Voting Protocols and Blockchains

There is constant interest for Internet Voting by election commissions around the world. At the same time, there is a need for online voting in blockchain governance. However, building an internet voting system is not easy: The design of new cryptographic protocols is error-prone, and public trust in the elected body is easily threatened. This project aims to improve the security and quality of the internet voting system and influence regulation on minimum quality requirements for blockchains.

Read More »
Bridge project

Trust through Software Independence and Program Verification

Greenland’s election law was changed in 2020, which now permits the use of Internet Voting. Together with the authorities in Greenland, this project will investigate the effects of program verification on public trust in election technologies. The project aims to contribute to making internet elections more credible, which can strengthen developing and post-conflict democracies around the world.

Read More »
Bridge project

Multimodal Data Processing of Earth Observation Data

Based on observations of the Earth, a range of Danish public organizations build and maintain important data foundations that are used for decision-making, e.g., for executing environmental law or making planning decisions in both private and public organizations in Denmark. This project aims to support the digital acceleration of the green transition by strengthening the data foundation for environmental data.

Read More »
Bridge project

REWORK – The future of hybrid work

Remote and hybrid work will certainly be part of most work practices, but what should these future work practices look like? Should we merely attempt to fix what we already have or can we be bolder and speculate a different kind of workplace future? Together with companies, this project seeks a vision of the future that integrates hybrid work experiences with grace and decency.

Read More »
Bridge project

Secure Internet of Things – Risk Analysis in Design and Operation (SIoT)

This project aims to identify safety and security requirements for IoT systems and develop algorithms for quantitative risk assessment and decision-making. The aim is furthermore to create tools for designing and certifying IoT security training programs that will enable Danish companies to obtain security certification for their IoT devices, thus giving them a lead in a market that is likely to demand such certification in the near future. 

Read More »
Bridge project

Embedded AI

Embedded AI will revert the current AI processing flow from collecting data at the edge and processing it at the cloud, to a flow where AI algorithms are migrated from the cloud to a distributed network of AI enabled edge-devices, which will increase responsiveness and functionality, reduced data transfer, and increased resilience, security, and privacy.

Read More »
Bridge project

EXPLAIN-ME: Learning to Collaborate via Explainable AI in Medical Education

Together with clinicians, this project aims to develop explanatory AI that can help medical staff make qualified decisions by taking the role as a mentor who provides feedback and advice for the clinicians. It is important that the explainable AI provides good explanations that are easy to understand and utilize during the medical staff’s workflow.

Read More »
Bridge project

Business Transformation and Organisational AI-based Decision Making

Together with industry, the project aims to develop methods and tools that enable industry to develop new efficient solutions for exploiting the huge amount of business data generated by enterprise systems, with specific focus on tools and responsible methods for the use of process insights for business intelligence and transformation. 

Read More »
Bridge project

AI and Blockchains for Complex Business Processes

Together with industry, this project aims to develop methods and tools that enable the industry to develop new efficient solutions for exploiting the huge amount of business data generated by enterprise and blockchain systems, with specific focus on tools and responsible methods for the use of process insights for business intelligence and transformation. 

Read More »
Bridge project

Mobility Analytics using Sparse Mobility Data and Open Spatial Data

The amount of mobility-related data has increased massively which enables an increasingly wide range of analyses. When combined with digital representations of road networks and building interiors, this data holds the potential for enabling a more fine-grained understanding of mobility and for enabling more efficient, predictable, and environmentally friendly mobility.

Read More »
Bridge project

Deep Learning and Automation of Image-Based Quality of Seeds and Grains

Today, manual visual inspection of grain is still one of the most important quality assurance procedures throughout the value chain of bringing cereals from the field to the table. 

Together with industrial partners, this project aims to develop and validate a method of automated imaging-based solutions that can replace subjective manual inspection and improve performance, robustness and consistency of the inspection. 

Read More »
Bridge project

Edge-based AI Systems for Predictive Maintenance

Downtime of equipment is costly and a source of safety, security and legal issues. Today, organisations adopt a conservative schedule of preventive maintenance independent of the condition of equipment. This results in unnecessary service costs and occasional interruptions of production due to unexpected failures.

Read More »
Bridge project

Verifiable and Safe AI for Autonomous Systems

The rapidly growing application of machine learning techniques in cyber-physical systems leads to better solutions and products in terms of adaptability, performance, efficiency, functionality and usability. However, cyber-physical systems are often safety critical, e.g., self-driving cars or medical devices, and the need for verification against potentially fatal accidents is of key importance.

Read More »

SciTech projects

Strategic, multidisciplinary research projects managed by DIREC researchers that aim to deliver value for both the scientific world and society. The SciTech projects aim to expand the Danish universities’ research and education capacity. 

SciTech project

Online Algorithms with Predictions

Our focus is on improving optimization algorithms in online decision-making. Using techniques from online algorithms for solving optimization problems, we can provide worst-case guarantees, but normal (averagecase) behavior may not be satisfactory. Using techniques from machine learning, we can often provide good behavior in practice, but guarantees are lacking, and in particular missing for situations not captured by the training data. We aim at combining the best features from these two areas.

Read More »
SciTech project

Benefit and Bias of Approximate Nearest Neighbor Search for Machine Learning and Data Mining

The search for nearest neighbors is an emerging and increasingly vital component in data analysis tasks, for example using vector embedding databases. Typically, the search is the bottleneck in terms of efficiency. Approximate nearest neighbor (ANN) search methods are often employed to speed up the application. However, different methods for ANN search come with different biases that can be positive or negative for the downstream application. In this project, the bias of different ANN methods and its impact on different applications will be studied.

Read More »
SciTech project

Privacy and Machine Learning

There is an unmet need for decentralised privacy-preserving machine learning. Cloud computing has great potential, however, there is a lack of trust in the service providers and there is a risk of data breaches. This project aims to develop AI methods and tools that enable secure and privacy-preserving use of sensitive data for machine learning. The goal is to address the lack of trust in cloud service providers and the risk of data breaches, while still enabling the use of analytical tools. 

Read More »
SciTech project

Machine Learning Algorithms Generalisation

AI is radically changing society and the main driver behind new AI methods and systems is machine learning. Machine learning focuses on finding solutions for, or patterns in, new data by learning from relevant existing data. Thus, machine learning algorithms are often applied to large datasets and then they more or less autonomously find good solutions by finding relevant information or patterns hidden in the data.

Read More »

Explore projects

Strategic, multidisciplinary research projects managed by DIREC researchers that aim to deliever value for both the scientific world and society. The Explore projects are small agile research projects to screen new ideas.

Explore project

Cyber-Physical Systems with Humans in the Loop

Constructing cyber-physical systems with humans in the loop is important in many application areas to enable a close co-operation between humans and machines. However, there are also many challenges to overcome when constructing such systems with current software technologies and human-centered design approaches.

Read More »
Explore project

Re-use of robotic data in production through search, simulation and learning

A robot database with information on previous robot solutions can save manufacturing companies time and money and allow for smaller-scale companies to automate their production as well. This is the conclusion of the ReRoPro project. Although it sounds simple, there are several challenges involved with creating a robot database. With input from industry and international experts, the researchers have now gained a much better understanding of the challenges.

Read More »
Explore project

Algorithms education via animation videos

Several highly popular YouTube channels for mathematics and other scientific content (e.g., 3blue1brown, Numberphile, Veritasium) with millions of views indicate that learners may respond very positively to professionally produced educational videos. This project aims at creating and evaluating an initial library of such videos to supplement teaching in algorithms.

Read More »
Explore project

Accountability Privacy Preserving Computation via Blockchain

This project aims to combine secure multiparty computation and blockchain techniques, to enable efficient privacy-preserving computation with accountability, allowing computation on private data while maintaining an audit trail for third-party verification. The project can potentially help fight discrimination, catch unethical and fraudulent behavior, and generate positive publicity for honest participation. 

Read More »
Explore project

Ergonomic & Practical Effect Systems

Effect systems are currently a hot research subject in type theory. Yet many effect systems, whilst powerful, are very complicated to use, particularly by programmers that are not experts at type theory. Effect systems with inference can provide useful guarantees to programming languages, while being simple enough to be used in practice by everyday programmers.

Read More »
Explore project

Hardware/software Trade-off for the Reduction of Energy Consumption

Computing devices consume a considerable amount of energy. Implementing algorithms in hardware using field-programmable gate arrays (FPGAs) can be more energy efficient than executing them in software in a processor. This project explores classic sorting and path-finding algorithms and compare their energy efficiency and performance when implemented in hardware.

Read More »
Explore project

Explainable AI

Artificial Intelligence brings the promise of technological means to solve problems that previously were assumed to require human intelligence, and ultimately provide human-centered solutions that are both more effective and of higher quality in a synergy between the human and the AI system than solutions that are provided by humans or by an AI system alone.

Read More »

Educational projects

The Educational projects aim to supplement and create synergy with the existing education programs at all Danish universities, promote gender diversity, and strengthen the cooperation between researchers, students, and the business community to ensure the best possible exploitation of the capacity.

Educational project

Initiatives to improve recruitment and retention of IT students

Denmark needs more IT specialists. But how do we get more young people to study computer science and become IT specialist? This project, consisting of two subprojects, focuses on initiatives that can improve both recruitment and retention of a larger but also more diverse group of young people e.g., female students and students without prior programming experience.

Read More »

Entrepreneurship projects/events

Entrepreneurship projects and events aim to strengthen science-based digital startups and equipt reesarchers to create digital spinouts.

Do you have an idea for a project?

We are actively in dialog with all our partners about creating new projects that will fullfill the goal of DIREC. If you have an idea for a project, please contact us to hear about potential collaboration.