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Projects by Software Engineering & Computing Systems

Are you looking for projects that the Section of Software Engineering & Computing Systems is currently working on? On this page you can find all projects by the Section of Software Engineering & Computing Systems - Department of Electrical and Computer Engineering, Aarhus University.

Below you can find a list of all current and previous projects of research, their status, mission, and funding:

Aftercare

Name: Aftercare - Pilot Testing of a Mobile Application for Relapse Prevention to Alcohol and Cannabis Use Among Young Adults

The aim of the project is to develop and test the initial effectiveness of a mobile application (app) that can be used as an aftercare intervention for young adults (ages 18-30), who have received treatment for problematic alcohol and cannabis use.

Duration: October 2021- September 2023

Partners: Trygfonden and Helsefonden

Applied Formal Methods

Computational Empowerment for Emerging Technologies in Education

Name: CEED: Computational Empowerment for Emerging Technologies in Education

Description: CEED is a 4-year research project anchored at Center for Computational Thinking and Design at AU for exploring and building new practices of computational empowerment for emerging technologies in Danish secondary education. CEED addresses the core question: How do we empower coming generations to understand the complexity and impact of digital technology and become co-creators of our future digitalised society? While new technologies are rapidly transforming our everyday lives, investment in educating children about their impact and potentials has just begun, prioritizing a focus on coding skills and computational thinking over quality of life, agency and democracy.

Duration: 2020-2024

Granted by: Villum Foundation

Websitehttps://cctd.au.dk/projects/ceed-project/

Cyber-Physical Systems

Name: UPSIM. The Unleash Potentials in Simulations (UPSIM) project aims to enable companies to safely collaborate on simulations in a repeatable, reliable and robust manner and to implement simulations in a Credible Digital Twin setting as a strategic capability in order for them to become an important factor in quality, cost, time-to-market and overall competitiveness. The project brings together expertise from 31 one partners from Austria, Germany, Denmark, the Netherlands, Romania and the United Kingdom.

Duration: 2020 - 2023

Granted by: Danish Innovation Foundation


Name: DTL-Skjern. The Digital Transformation Lab-Skjern Project is composed by a consortium of Ringkøbing-Skjern Business Council and the Department of Electrical and Computer Engineering at Aarhus UniversityDuring its lifetime it will showcase the future of industry and form the basis for developing product prototypes with increased digitalisation, new materials and production technologies in a joint effort to ensure that local companies (located in the west coast of Denmark) are at the forefront of the digital transformation.

Duration: 2021 - 2024

Granted by: A 16 million DKK investment by the  Ringkøbing-Skjern Municipality and its Knowledge Committee together with local companies


Name: DIGITbrain. The DIGITbrain Project is composed by a consortium of 36 partners coordinated by PNO Consultants. During its lifetime it will recruit a further 35-40 collaborators in two Open Calls, mainly technology and manufacturing small and medium-sized enterprises (SMEs).
The Digital Brain is a novel concept, extending the Digital Twin towards supporting the full lifecycle of industrial products and facilitating the configuration and orchestration of assets related to an industrial-product instance.

Duration: 2020 - 2024

Granted by: The European Union’s Horizon 2020 research and innovation program under Grant Agreement N°952071.


Name: DiT4CPS.The Digital Twins for Cyber-Physical Systems (DiT4CPS) project is supported by the Poul Due Jensen Foundation with a personal grant to Professor Peter Gorm Larsen at 12MDKK. The project started April 2019 and it will last for 4 years. This is a basic research project purely conducted by the Department of Engineering at Aarhus University led by the principal investigator Peter Gorm Larsen.

Duration: 2019 - 2023

Granted by: Poul Due Jensen Foundation


Name: AgroRobottiFleet. AgroRobottiFleet aims to improve efficiency of robots in performing agricultural task. In fleets they are tasked to collaborate and interact. This requires, on one hand, reliable communication but also safety guarantees and mechanisms to ensure they are obeyed. Peter Gorm Larsen and Lukas Esterle from Aarhus University, Department of Engineering, lead the efforts towards adjustable autonomy in agricultural robots.

Duration: 2020 - 2023

Granted by: Danish Innovation Foundation


Name: MADE FAST. MADE FAST is the third major project coordinated by the MADE consortium in relation with manufacturing in Denmark. FAST is an acronym for Flexibility, Agility, Sustainability and Talent and the full budget is more than a quarter of a billion DKK, where 80MDKK comes from the Danish Innovation Foundation. It is a collaboration with more than 50 companies, 5 universities and 3 GTSs.

Duration: 2020 - 2023

Granted by: Innovation Fund Denmark


Name: HUBCAP: Digital Innovation HUBs and Collaborative Platform for Cyber-Physical Systems.

The aim of HUBCAP is to deliver a vision of a sustainable network of SMEs, DIHs and other actors that enables and encourages suppliers and users of CPS models and MBD tools to meet and collaborate. Working with the hubs, SMEs will be able to access central funding for experiments via open calls as well as direct support. Members will make models, tools, training materials and expertise available to each other, either freely or on a commercial basis, making it faster and easier to access MBD CPS engineering tools.

Duration: 2020 - 2022

Granted by: Horizon 2020, 8M Euro, grant agreement number 872698


Name: ACoSim: Application of co-simulation to support test and operations. The purpose of the ACoSim project is to conduct research on co-simulation techniques to be used in the space domain for Verification & Validation (V&V) activities.

Duration: 2018 - 2020

Granted by: The ACoSim project related to the application of co-simulation to support test and operations was awarded to EMTECH Space P.C. consortium by ESA/ESTEC. EMTECH is the prime contractor and TWT GmbH, Thales Alenia Space Italia (TAS-I) and Aarhus University (Denmark) are sub-contractors.


Name: MADE Digital. MADE Digital builds on the research of MADE SPIR with the aim of accelerating the digital transformation of Danish manufacturing companies. MADE Digital is a Danish equivalent to Germany’s Industrie 4.0, but suited to Danish conditions. Many companies in Denmark are among the best in the world within their niches, producing in small volume to customer specific needs, and Danish industry has a tradition of collaboration and mutual trust. These are the strengths, MADE Digital builds upon.

Duration: 2017 - 2019

Granted by: Innovation Fund Denmark


Name: Intelligent Software, Healing Environments. In this project we will develop new artificial intelligence-based Computer-Aided Architecture Design (CAAD) tools, with real-world impact, for analysing the health and safety of public buildings (risk identification, assessment, mitigation). These tools will incorporate concepts of people, perception and behaviour into the building model itself within the CAAD tool, at a fundamental level.

Duration: 2018 - 2021

Granted by: DFF (FPT1)


Name: INTO-CPS: Integrated Tool Chain for Model-based Design of Cyber-Physical Systems. In the INTO-CPS project, we created an integrated "tool chain" for comprehensive Model-Based Design (MBD) of Cyber-Physical Systems (CPSs). The tool chain supports the multidisciplinary, collaborative modelling of CPSs from requirements, through design, down to realisation in hardware and software. This enables traceability at all stages of the development. The IP from this project has been transferred to the INTO-CPS Association after the completion of the project.

Duration: 2015 - 2018

Granted by: EU (Horizon 2020)


Name: DESTECS: Design Support and Tooling for Embedded Control Software. DESTECS is a consortium of research groups and companies working on the challenge of developing fault-tolerant embedded systems. We are focussed on developing design methods and tools that bridge the gap between the disciplines involved in designing an embedded system: systems, control, mechanical and software engineering, for example. These disciplines, which have grown up separately, base design on different forms of model - some use discrete event models, and some use continuous time - inhibiting our ability to compare design alternatives rapidly and in particular to model faults and fault tolerance mechanisms that have to cross the boundaries between models. This “design gap” leads to sub-optimal designs and long development lead times.

Duration: 2011 - 2014

Granted by: EU (FP7)


Name: COMPASS: Comprehensive Modelling for Advanced Systems of Systems. The design of innovative products and services that take advantage of Systems of Systems (SoS) technology is in its infancy. It is hampered by the complexity caused by the heterogeneity and independence of SoS constituent systems and the difficulty of communication between diverse stakeholders. COMPASS augments existing industry tools and practice with an underlying modelling language in which SoS architectures and contracts can be expressed.

Duration: 2011 - 2014

Granted by: EU FP7

Digitalt baseret optimering af affaldsressourcer

Title: Digitalt baseret optimering af affaldsressourcer

Partners: Bjerringbro Vægte ApS, EcoCircle ApS, Aarhus University

Description: Optimized resource use has increasingly come into focus in recent years as part of the transition to a more circular economy. This project will develop a digital device which can be used on any type of scale and enable it to perform automatic continuous logging of weighing data for monitoring and optimization purposes. The digital device will act as a minicomputer that collects and sends weighing data up into the cloud. Using algorithms, such data will be translated to knowledge about waste quantities, types and values, and therefore identifying the most efficient process for waste handling. The digital unit will be a standard unit that can be used on all types of scales in all industrial sectors. AU mission will be the development of a system architecture for monitoring waste resources and their value creation; data integration and analysis algorithms for optimization purposes.

Duration: February 2022 - February 2023

Granted by: Digitaliserings Boost

Distributed Computational Intelligence

Name: CITWIN. 

The CITWIN project will rethink and reorganise our mobility systems in order to implement the 15-minute city concept in urban areas. Digitalisation is a key factor in this process, with digital twins being one of the promising technologies to be utilised. In the CITWIN project, we aim to explore this potential by developing a generic digital twin framework that allows us to model potential changes to active transport infrastructure in urban areas and evaluate their contribution towards the realisation of a 15-minute city. To make the framework applicable within the 15-minute city context, we will explicitly model and evaluate social dimensions inside the digital twin, such as the influence of the physical environment on the well-being of citizens. Two urban living labs will be established in the cities of Aarhus and Eskilstuna, and serve as a testbed for the developments within the project.

Duration: 2023 - 2027

Granted by: The DUT Partnership framework with funding from the Danish Innovation Foundation and the European Commission.


Name: MARVEL

MARVEL aspires the convergence of a set of technologies in the areas of AI, analytics, multimodal perception, software engineering, HPC as part of an Edge-Fog-Cloud Computing Continuum paradigm that goes beyond traditional Big Data, conventional architectures heavily capitalizing on distributed resources and heterogeneous data sources in smart city environments, while implementing privacy preservation techniques at all data modalities and at all levels of its architecture. The ultimate aim is to support data-driven real-time application workflows and decision making in modern cities, showcasing the potential to address societal challenges very effectively, from increasing public safety and security to analysing traffic flows and traffic behaviour in the cities of Trento and Malta.

Duration: 2021 - 2023

Granted by: The European Union’s Horizon 2020 research and innovation program under Grant Agreement N°957337.


Name: COGITO. Towards minimising construction project time/cost overruns and alleviate workplace accidents, COGITO targets to a semantic and pragmatic alignment between novel data capture techniques and delivery of value-adding end-user services leveraging the power of near-real-time data for the timely detection of health & safety hazards to humans, construction quality defects as well as a constantly up-to-date workflow management in order to minimise construction project time/cost overruns and alleviate workplace accidents.

Duration: 2020 - 2023

Granted by: The European Union’s Horizon 2020 research and innovation program under Grant Agreement N°958310.


Name: BIM2TWIN. 

The use of advanced technology is essential for improving the construction industry by allowing for more efficient management, increased productivity, and reduction of operational waste and carbon footprint. The EU-funded BIM2TWIN project will create a Digital Building Twin (DBT) platform for construction site management using artificial intelligence (AI) and semantic linked data techniques. The platform will provide full situational insight on the as-built product and as-performed processes, which will be used and compared to the as-designed product and as-planned processes through an extensible set of construction management applications to implement a closed-loop Plan-Do-Check-Act process. The full process will rely on multiple onsite sensors for data acquisition and cross-domain analysis, and complex AI-based event processing. The DBT will offer an application programming interface allowing construction management applications to interoperate with its data/information/knowledge bases.

Duration: 2020 - 2024

Granted by: The European Union’s Horizon 2020 research and innovation program under Grant Agreement N°958398.


Name: UPSIM.

Increasing trust in system modelling and simulation is essential for enabling Digital Twin enriched system development, production, and operation. The ITEA3 UPSIM project aims for system simulation credibility via introducing a formal simulation quality management approach, encompassing collaboration and continuous integration for complex systems.

Duration: 2020 - 2023

Granted by: ITEA3 UPSIM Project N°19006 has been made possible by the financial contribution from national funding agencies from Germany, Netherlands, Austria, Denmark, Spain, Romania.


NameAgroRobottiFleet.

AgroRobottiFleet aims to improve efficiency of robots in performing agricultural task. In fleets they are tasked to collaborate and interact. This requires, on one hand, reliable communication but also safety guarantees and mechanisms to ensure they are obeyed. Peter Gorm Larsen and Lukas Esterle from Aarhus University, Department of Engineering, lead the efforts towards adjustable autonomy in agricultural robots.

Duration: 2020 - 2023

Granted by: Danish Innovation Foundation


FoodReFurb - Smart Sensor and Digital foodwaste processing solution

Name: FoodReFurb - Smart Sensor and Digital foodwaste processing solution

Partners: FoodRefurb ApS, Packotech, Aarhus University

Description: Today, disposal of food waste is done in one of three ways; Incineration, Biogas or biofuel or Feed for animals. The FoodRefurb project solution is different in the way that it treats the resource as a high value resource. In this project, real time sensor technology is integrated in an automated process that separates bread waste such as day-old bread and packed bread in homogeneous categories. By combining data from sensors with known product recipes we can optimize the composition of a finished bread waste product, which after drying and grinding will become ingredients in new sustainable food products. Using a novel depacking solution based on a visual identification and sensor-based mold detection technology used in combination with robot technology our solution is able to add value to this resource. As such, the FoodRefurb solution offers a fully automatic, low cost, high quality and high value solution specifically designed to increase the usability and value of food waste products. AU mission will be the design of algorithms for food tracking, data analysis and calculation of the end value products.

Duration: February 2022 - February 2023

Granted by: Digitaliserings Boost

Software Engineering of Mobile and Autonomous Robots

Name: Name: UKRI Trustworthy Autonomous Systems Node in Verifiability 

Duration: 42 months 

Granted by: UK Engineering & Physical Sciences Research Council

Website: https://gow.epsrc.ukri.org/NGBOViewGrant.aspx?GrantRef=EP/V026801/1