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Reality-Connected Machine Simulation of Heavy Machinery

The RealSim project proposal aims to connect machine simulation to reality in the framework of heavy machinery, which is an interdisciplinary application. The results of this project are expected to optimize machine performance, accurately and reliably predict machine failure, and reduce overall development and operation costs, thus, serving the Europe’s priority of green transformation and the United Nation’s sustainable development goal 9. The RealSim project will close the gaps of: (1) Onboard estimations of force and pressure components of heavy machinery; (2) Estimating deformability, cylinder friction, leakage, and valve dynamics of heavy machinery using independent nonlinear Kalman filters; (3) Employing dependent nonlinear Kalman filters in state estimators of heavy machinery; (4) Tuning algorithms for the covariance matrix of plant noise in the state estimation of heavy machinery.   I will consolidate and leverage my research career and position as a leading researcher in the field through integration in Assoc. Prof. Mohammad Poursina’s group at the Department of Engineering Sciences of the University of Agder (UiA), Norway. Here, I will acquire hands-on experience of working with actual mechatronic systems and develop efficient control algorithms. I will improve my knowledge of fluid power designing, control theory, instrumentation, and develop efficient coding skills. I will also develop entrepreneurial skills. The skills, knowledge, and international network that I will develop during this fellowship will put me in an excellent position to achieve my long-term goal of becoming a professor with my own independent research group at an esteemed university in EU. This fellowship will help me to prepare a strong ERC Starting Grant application in the future. It will also cater my additional goal of setting-up a research-related start-up in the future.

Algebraic Theory of Information Quantities

Information theory is a discipline at the intersection of statistics, engineering and computer science. As the study of information quantities, such as compression or communication capacities, information content or measures of statistical dependency, it is one of the theoretical underpinnings of data science.  Computational problems in information theory are highly non-linear. The goal of this project is to transfer state-of-the-art methods of computational non-linear algebra to information theory, to study the inherent algebraic complexity of information-theoretical problems and to provide tools for solving them in practice. The algebraic point of view has proven to be fruitful in seemingly unrelated areas, as witnessed by a surge of recent work in algebraic statistics, in particular on likelihood geometry. However, maximizing the likelihood function is the same as minimizing relative entropy — a specific information quantity. Hence, this project also aims at generalizing the techniques developed in likelihood geometry.  One focus is on the practical computation of information quantities using numerical and differential algebraic geometry. Such quantities are defined via non-linear optimization problems and we aim to pinpoint the algebraic complexity of these problems in instances of general interest, such as common information measures. The final objective is finding fundamental laws and limits of data science imposed by non-linear inequalities constraining the entropic region. These inequalities provide, by duality, universal bounds for many of the optimization problems studied in information theory.

WHeelchair Activity Monitoring project (WHAM)

Wheelchair users (WCU) are three to five times more inactive than the general population, leading to a high risk of developing preventable secondary conditions. Although physical activity (PA) guidelines have been specifically developed for WCU, we lack systematic approaches to implement them in practice, as well as valid algorithms to monitor PA change in WCU through sensor-based solutions. Accordingly, the overall scientific aim of the WHeelchair Activity Monitoring project (WHAM) is to advance PA research and practice in WCU by developing valid digital markers for monitoring of and providing feedback on PA, paving the way for implementation and intervention. I will accomplish this through combining the complementary research fields of 1) behavioural intervention studies focusing on increasing PA in WCU (core competence University of British Columbia, UBC; outgoing phase) and 2) sensor-based PA monitoring (core competence Norwegian University of Science and Technology, NTNU; returning phase – consolidated by non-academic placement at Maastricht Instruments, which develop research prototypes including PA monitors). WHAM’s scientific aim is achieved through three objectives: 1) Measure the effect of a pragmatic exercise intervention trial on self-reported physical activity levels and cardio-respiratory fitness, 2) Develop valid algorithms for tracking PA markers in WCU, and 3) Co-create a framework that outlines how PA can be conjointly monitored and provided feedback on in WCU. This fellowship will enable me to become established as an internationally recognized researcher in the field of “physical activity and disability”, while bringing together ongoing national disjointed research activities in this field. Altogether, my overall ambition is to contribute to reducing inequalities in daily-life participation among WCU compared to the rest of the population.

EOSC Beyond: advancing innovation and collaboration for research

EOSC Beyond overall objective is to advance Open Science and innovation in research in the context of the European Open Science Cloud (EOSC) by providing new EOSC Core capabilities allowing scientific applications to find, compose and access multiple Open Science resources and offer them as integrated capabilities to researchers. To do so, EOSC Beyond supports a new concept of EOSC: a federated and integrated network of Nodes operated at different levels, national, regional, international and thematic, to serve the specific scientific missions of their stakeholders. Further specific objectives of the project are to accelerate ‘time to product’ of new scientific applications with software adapters, enable Open Science with machine composability and dynamic deployment of shared resources, support innovation in EOSC with a testing and integration environment, and align the EOSC Core architecture and specifications to integrate with European dataspaces. The project extends the state of the art of the EOSC Core and adopts a co-design methodology, including requirements elicitation, software development and validation in collaboration with different use cases from EOSC national and regional initiatives (e-Infra CZ, Czechia, NFDI, Germany, and NI4OS, South East Europe region), thematic research infrastructures from Social Sciences and Humanities (CESSDA), Life Sciences (CNB-CSIC and Instruct-ERIC), Environmental Science (ENES and LifeWatch), and Health and Food (METROFood-RI). EOSC Beyond builds on the capacities of prospective EOSC Nodes and partners with multi-annual experience in developing solutions for large-scale federated digital infrastructures and aligns with the technical architecture and requirements of data spaces from different business sectors. Ultimately, EOSC Beyond supports Open Science in modern, data-intensive, and multidisciplinary research, facilitating resource discovery, access, and reuse across scientific communities, organisations, and countries. 

Harmonization of Advanced Materials Ecosystems serving strategic Innovation Markets to pave the way to a Digital Materials & Product Passport

The overarching objective of DigiPass is to enhance the digital maturity of the European communities that develop materials and intermediate products. The project will develop recommendations and clear routes toward digitalized circular business models. The overarching key result of DigiPass is to create a sustainable platform which includes support for Digital Materials & Product Passport and for collaborative innovation-by-design processes in a circular economy served by advanced materials. A business model for operating such a platform completes the overarching objective. DigiPass is harmonizing and synergizing collected materials data sources and digital infrastructures. This will enable interoperability of data exchange, and standardization of advanced materials knowledge representation at all maturity levels. Accelerating the design, development, and production of advanced, safe, and sustainable chemicals and materials, as they are necessary for innovative products, calls for a collaborative approach involving different stakeholders to support durability, repair and overhaul, reuse, and recyclability of products. DigiPass project impacts all materials development communities over the whole circular value chain.  

Enhanced X(cross)-disciplinary Community-driven Imaging Technologies for Earth and Environmental material research

The EXCITE² Network is revolutionizing Earth and environmental material science research by consolidating a critical mass of 18 research facilities in 12 European and associated partner countries into a unified infrastructure and providing transnational access to advanced imaging technologies. This enables scientists to decipher complex processes within Earth materials at scales from nanometres to hundreds of centimetres, gaining unparalleled insight into the chemical and physical processes that govern, among others, environmental toxicity and its impact on human health, critical metal extraction for renewable energies, and the utilisation of Earth materials as long-term storage for climate-altering gases. The consortium fosters knowledge-sharing and talent attraction, bolstering the problem-solving capacity of the European Research Area. Moreover, EXCITE² is driving interdisciplinary collaboration and cross-fertilisation across academic institutions, scientific disciplines, and industry, propelling Europe towards a sustainable future. The initiative offers dedicated training programmes to a new generation of researchers within the European open science landscape, paired with access to world-class imaging facilities and expertise for problem-solving research and innovation. EXCITE² is introducing innovative service developments, such as artificial intelligence and leading-edge imaging experiments, to increase the user's problem-solving capacity. In addition, the consortium is implementing customised project valorisation strategies to maximize the impact of research outcomes in academia, society, and the economy. Citizen science projects allow the public to participate directly within the EXCITE² Network, contributing to solving EU challenges. As such, EXCITE² is paving the way towards a sustainable future, driving scientific excellence, and creating positive societal impact.

Engineering carbon quantum dots for zinc ion hybrid capacitors

Zinc ion hybrid capacitors (ZIHCs) integrate two energy storage mechanisms of battery-type electrode and capacitive electrode, bearing the advantages in energy density, power density, and safety. Until now, the cycle retention rate of ZIHC's capacity reported is still not more than 80%, restricting its development and commercial application severely. Focusing on the issue, the project aims at overcoming the limitation of traditional electrode materials and re-defining the designing concept to construct Carbon Quantum Dots (C-QDs) for ZIHCs. Advanced methods will be used to harvest carbon quantum dots from coal tar pitch (a sort of industrial solid castoff). The bulk sp2-carbon network, innumerable edge sites, profuse surface functional groups, and regular size ensures that as-synthesis C-QDs have high electrical conductivity, sufficient ion transport channels and rich adsorption sites. Moreover, the new concept of dynamic evolution is introduced for insight into the structure and interface failure of ZIHC's electrode. The interface-reconstruction mechanism and the attenuation model of capacity will be established for the first time. Further, the methods to strengthen structures of C-QD electrode will be developed based on a trade-off strategy. The ultimate goal is to improve the energy storage efficiency of ZIHCs by 20% and to increase their cycle performance more than 95% unprecedentedly. This research will develop long-running high performance ZIHCs, for contributing European energy storage industry. The ER will achieve abundant research experience and scientific skills from the project and the capability to launch her own research group in future.

Aqua Research Infrastructure Services for the health and protection of our unique, oceans, seas and freshwater ecosystems

AQUARIUS will provide a highly comprehensive suite of integrated research infrastructures appropriate to addressing significant challenges for the long-term sustainability of our unique oceans, seas and freshwater ecosystems. For the first time, diverse research infrastructures will be combined to facilitate the work of researchers and key stakeholders focused on challenges and opportunities for both marine and freshwater systems. An impressive range of 57 research infrastructure services will be made available to include research vessels, mobile marine observation platforms, aircraft,  drones, satellite, sensors, fixed freshwater and marine observatories and test sites, experimental facilities, and sophisticated data infrastructures. AQUARIUS will support the development phase of the EU Mission to Restore our Ocean and waters by 2030, the Sustainable Blue Economy Partnership, the European Green Deal, and international climate initiatives. It will also be an essential component in achieving the European Digital Twin of the Ocean and the UN Decade for Ocean Sciences. The needs of researchers will be met through a robust and transparent system of transnational access funding Calls, facilitated by centralised user-friendly access portal. The Call programme will be informed through stakeholder engagement and brokerage events. Projects to be selected for Access must convincingly integrate multiple infrastructures and contribute to the core policy objectives of Mission Ocean, that is, to protect and restore marine and freshwater ecosystems and biodiversity; to prevent and eliminate pollution of our oceans, seas and waters; and to ensure a sustainable, carbon-neutral and circular blue economy. A thematic and geographic focus will be the hallmark of the proposed transnational Calls, aligning with the Lighthouse Regions, that is, the Baltic and the North Sea Basins, Black Sea, Atlantic/Arctic, and Mediterranean Sea along with their associated rivers.

EOSC-ENTRUST: A European Network of TRUSTed research environments

The mission of EOSC-ENTRUST is to create a European network of trusted research environments for sensitive data and to drive European interoperability by joint development of a common blueprint for federated data access and analysis.  Countries and institutions have made significant investments in secure and trusted data environments to meet the need for research and policy-driven analysis of sensitive datasets such as people's health and socio-economic status, the habitats of vulnerable species and geo-spatial locations of protected sites. There are now a large number of such secure environments in operation - linked to national centres, individual organisations or specific research communities. This fragmented landscape poses challenges for both users and providers: researchers are faced with a large number of different systems and access procedures; providers need to manage federated access across multiple, potentially incompatible, technology and governance frameworks. EOSC-ENTRUST brings together providers of operational Trusted Research Environments from 15 European countries with a shared goal to implement, validate and promote their capabilities through a common European framework using shared standards and common legal, operational and technical language. This blueprint for interoperability is anchored in the EOSC Interoperability Framework spanning the four dimensions of Legal, Organisational, Technical and Semantic interoperability. EOSC-ENTRUST has identified four driver projects covering Genomics, Clinical trials, Social science, and public-private partnerships to benchmark capabilities, inform blueprint design and demonstrate secure  data analysis using federated workflows. Targeted outreach activities will expand this open network with further providers and develop policy papers and guidelines for the full range of stakeholders to create a long-term operational TRE framework within the European Open Science Cloud. 

IMProving User experience, Long-term sustainability and Services of EU-OPENSCREEN

EU-OPENSCREEN (EU-OS), the distributed European Research Infrastructure for Chemical Biology and early drug discovery, provides world-class services in high-throughput compound screening and medicinal chemistry to users from academia and industry. As one of the largest open-access initiative globally, EU-OPENSCREEN plays an increasingly important role in facilitating early stage drug discovery in Europe. It recently integrated fragment-based drug discovery and chemoproteomics as two new services, but the increasing complexity of modern drug discovery projects requires an even more comprehensive portfolio and integration of emerging technologies. To ensure that EU-OS continues to offer a comprehensive suite of relevant services and support a growing user community to conduct forefront research, IMPULSE will develop, validate and integrate new services in AI/ML, new chemical modalities, and innovative disease-relevant cell models combined with CRISPR-Cas9/RNAi-based genetic screening. IMPULSE will work towards the implementation of common operational and data standards to increase data reproducibility and FAIRness. Bespoke outreach and training activities will raise awareness among key user groups of its new services and advance operational excellence and reproducibility in pre-clinical drug discovery. New models for pre-competitive drug discovery with industry or charities, and growing ERIC member community will reinforce the sustainability and accessibility of EU-OPENSCREEN.

OWL - Optimering og læring for varehuslogistikk

Midlene fra BIA-Brukerstyrt innovasjonsarena fordelt på år

Midlene fra BIA-Brukerstyrt innovasjonsarena fordelt på fylker

Midlene fra BIA-Brukerstyrt innovasjonsarena fordelt på fagområde

Research Scientist, AI@SINTEF

The OWL project will improve human working conditions in wholesale warehouses and reduce environmental and economic cost across the value chain by developing better tools for optimizing the packing of pallets and internal warehouse layout.

In wholesale warehouses items arrive from manufacturers on standard-sized pallets in single-item stacks, which are stowed away in the warehouse. Items are then retrieved and stacked in mixed-item stacks according to customer orders before they are transported to the stores. The retrieval and restacking related activities are co-dependent, and jointly considering up- and down-streams operations is key to aid and/or replace hard human labor with robots. OWL will address the lack of algorithms for solving these complex problems that prevents further development and implementation of digital solutions and feasible and affordable autonomous systems in warehouse operation.

The OWL consortium brings together Driw AS, a warehouse logistics software provider and Currence AS, developing innovative warehouse robots, in a collaboration with SINTEF Digital to develop advanced optimization models for tackling challenges in wholesale warehouse management. The enhancement of classical optimization models with use of machine learning will be a new and promising venue for progress. Insights from end users in both warehouses and stores will be collected from Driw and Currence’s customers, and the final methods will be exploited in the Currence warehouse robot and in Driw’s warehouse management software.  

Reduction of hard human labor, improved working conditions, increased safety in operations, reduced waste, area usage and emissions are likely impacts, contributing towards UN sustainable development goals and to the renewal and restructuring of an established industry (warehouse logistics) and its work methods through digitalization.

The OWL project will improve human working conditions and reduce environmental and economic cost across the wholesale warehouse value chain by developing analytic and learning based algorithms for internal warehouse optimization problems.

In wholesale warehouses items arrive from manufacturers on standard-sized pallets in single-item stacks, which are stowed away in the warehouse. Items are then retrieved and stacked in mixed-item stacks according to customer orders before they are transported to the stores. The retrieval and restacking related activities are co-dependent, and jointly considering up- and down-streams operations is key to aid and/or replace hard human labor with robots. OWL will address the lack of algorithms for solving these complex problems that prevents further development and implementation of digital solutions and feasible and affordable autonomous systems in warehouse operation. 

The OWL consortium brings together Driw AS, a warehouse logistics software provider and Currence AS, developing innovative warehouse robots, in a collaboration with SINTEF Digital to develop advanced optimization models for tackling challenges in wholesale warehouse management. The enhancement of classical optimization models with use of machine learning will be a new and promising venue for progress. Insights from end users in both warehouses and stores will be collected from Driw and Currence’s customers, and the final algorithms will be exploited in the Currence warehouse robot and in Driw’s warehouse management software.  

Reduction of hard human labor, improved working conditions, increased safety in operations, reduced waste, area usage and emissions are likely impacts, contributing towards UN sustainable development goals and to the renewal and restructuring of an established industry (warehouse logistics) and its work methods through digitalization.

OWL - Optimization and learning for Warehouse Logistics

The combination of metal organic frameworks (MOFs) and polymers is highly desirable since both contribute with outstanding features (high and defined porosity and crystallinity as well as tunable mechanical and chemical properties, respectively). In particular, they represent an appealing strategy in the field of drug delivery systems (DDS): i) the polymer can increase the chemical and colloidal stability of the DDS; ii) the polymer can present itself biological activity (e.g. antimicrobial) and stimuli response (e.g. pH, temperature); iii) the metal centers of the MOFs can exhibit intrinsic bioactivity (e.g. Zn2+, Cu2+, Fe3+) and iv) the MOF porosity can adsorb and progressively release exceptional cargoes of complementary active ingredients. Mostly associated as composite or core-shell, the coordination of the polymer as a building block to the metallic part of the MOF (polyMOF) is almost unexplored. Until now, only 10 polyMOFs (over 90,000 MOFs) have been reported, and all of them being in the exploratory phase, with no demonstrated potential applications. In this sense, highly robust polyMOFs will be here prepared based on polymers-containing polycomplexant ligands (instead of molecular polydentate ligands) and bioactive cations, stablishing a platform for the development of a library of polyMOFs with innovative combined antimicrobial properties. As proof of concept, the in vitro safety and potential activity of these novel polyMOFs will be evaluated for the challenging antimicrobial therapy. Finally, the scale-up and potential technology transfer of the most promising prototypes will be assessed within an industrial placement at Immaterial Ltd.

polyMOFs as promising drug delivery systems for antimicrobial therapy

Production, control and Demonstration of structured hybrid nanoporous materials for Industrial adsorption Applications

The recent 20 years have seen the discovery of new classes of nanoporous materials (NPM). It includes amorphous micro-mesoporous aluminosilicate type materials and more recently Metal-Organic Frameworks (MOF). Despite the great potential of this new class of materials, we cannot recognize industrial success yet at the level of initial expectations and business opportunities. The main reasons which limit the penetration of these materials on the market are that there is a very limited choice of materials available on the market with prices and shapes (powder) which are not compatible for a first demonstration. In this respect, the objectives of ProDIA are: - To develop production technologies and methods including shaping, for MOF and aluminosilicates, which are price competitive or at least in the same range as other state of the art porous solids such as advanced zeolites or carbons – 10-100 €/kg  - To set-up production facilities in Europe for the production of a variety of NPM with chemical and mechanical stabilities and with safety requirements which allow them to be sold, distributed and used in the industry. The project will thus develop three innovative processes (water-based synthesis, mechanosynthesis, spray-drying) for cost-effective production of NPMs meeting industrial expectations with improved reliability and repeatability at pilot-scale. The industrial relevance of these NPMs will be demonstrated in four applications: gas storage, air purification, heat pump and health care. The consortium is composed of 5 RTO, 1 university and 1 association together with 6 industrial partners, including 2 SMEs and a spin-off being created; linking technology providers and academic partners with industrial end-users. The consortium has well-balanced skill sets to achieve its objectives. The financial resources mobilized by the 13 partners represent a total grant of 7 604 940 € with a global effort of 757 PM.

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MSCA-Marie Sklodowska-Curie Actions (MSCA)

polyMOFs as promising drug delivery systems for antimicrobial therapy

Tildelt: Skjult

Prosjektperiode: 2023-2025

Sted: Oslo

H20-LEIT-LEIT-NMP-Nanotechnologies, Advanced Materials and Production

Production, control and Demonstration of structured hybrid nanoporous materials for Industrial adsorption Applications

Tildelt: kr 16,6 mill.

Prosjektperiode: 2015-2018

Sted: Oslo og 2 andre