Daniela Delinschi

Research Assistant

HOLISUN SRL

Baia Mare, Romania

11 profile visitsVirtual Participant

My organisation

HOLISUN SRL

HOLISUN SRL

Company (Industry)

Baia Mare, Romania

Founded in 2001, HOLISUN emerged on the Romanian market as a response to the increasing demand of high quality software products. Following the globalization process and the expansion of world trade, Holisun has developed partnerships with companies all over Europe and America: The Netherlands, France, Italy, USA, Canada, Romania. Our partners are private companies, but also NGOs and public institutions. With all our partners we have close collaborations, with excellent results on both sides. The R&D expertise encompasses data mining and augmented reality. The data mining projects (related mainly to Internet of Things) focus on predictive analysis such as soil moisture, predictive maintenance and usage prediction. Our main customers are University of Agricultural Sciences of Cluj-Napoca, Desma (rubber industry) and Electrolux (the largest home appliances producer in the world). Although an SME, HOLISUN R&D department benefits on 7 people: PhDs, PhD students and masters of engineering. HOLISUN’s vision is sustainability and a Green Future, through the use of advanced computing, taking advantage of the latest and greatest in algorithmics, platforms that were developed under other great projects (and give us a competitive edge), good quality Open Source components or cutting edge hardware platforms. All these components extend the reach of software into the real world, using technologies like Virtual Reality, Augmented Reality and even Internet of Things, that enable us to understand the world through the eyes and ears of a computer. The computer, then, can help us to optimize that world, analysing or detecting problems that humans alone cannot see. This synergy between humans and computers will open possibilities not known until now. A core expertise of HOLISUN is Machine Learning, a key concept in Artificial Intelligence, that is widely used to understand data, to turn it into information and knowledge. Projects like ModSoil and Big-Smart-Log were key to develop our Machine Learning experience and used framework, enabling us to be confident into using such concepts for optimizations of any kind. Other algorithmic approaches, like metaheuristics (including Genetic Algorithms), have the potential to optimize unknown problems. HOLISUN has extensive expertise also in this class of algorithms, through many of our colleagues that studied them in great detail, generating quality software with their use.
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Choose the D2-02 calls you're interested in

HORIZON-CL5-2024-D2-02-01: Sustainable high-throughput production processes for stable lithium metal anodes for next generation batteries (Batt4EU Partnership)

Choose the D3-02 calls you're interested in

HORIZON-CL5-2024-D3-02-01: Digital tools for CSP and solar thermal plantsHORIZON-CL5-2024-D3-02-03: Development of smart concepts of integrated energy driven bio-refineries for co-production of advanced biofuels, bio-chemicals and biomaterials

Choose the D6-01 calls you're interested in

HORIZON-CL5-2024-D6-01-01: Centralised, reliable, cyber-secure & upgradable invehicle electronic control architectures for CCAM connected to the cloud-edge continuumHORIZON-CL5-2024-D6-01-02: Scenario-based safety assurance of CCAM and related HMI in a dynamically evolving transport systemHORIZON-CL5-2024-D6-01-03: Orchestration of heterogeneous actors in mixed traffic within the CCAM ecosystemHORIZON-CL5-2024-D6-01-04: AI for advanced and collective perception and decision making for CCAM applicationsHORIZON-CL5-2024-D6-01-05: Robust Knowledge and Know-How transfer for Key Deployment Pathways and implementation of the EU-CEMHORIZON-CL5-2024-D6-01-06: Optimising multimodal network and traffic management, harnessing data from infrastructures, mobility of passengers and freight transportHORIZON-CL5-2024-D6-01-07: Scaling up logistics innovations supporting freight transport decarbonisation in an affordable wayHORIZON-CL5-2024-D6-01-08: Improved transport infrastructure performance – Innovative digital tools and solutions to monitor and improve the management and operation of transport infrastructureHORIZON-CL5-2024-D6-01-10: Market Uptake Measures of renewable energy systemsHORIZON-CL5-2024-D6-01-11: Effects of disruptive changes in transport: towards resilient, safe and energy efficient mobilityHORIZON-CL5-2024-D6-01-12: A new framework to improve traffic safety culture in the EU