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23/01/2024 NATIONAL TECHNICAL UNIVERSITY OF UKRAINE IGOR SIKORSKY KYIV POLYTECHNIC INSTITUTE Ukraine Expertise Request AI-driven data operations and compliance technologies (AI, data and robotics partnership) (IA) (HORIZON-CL4-2024-DATA-01-01) F&T portal
We are the Department of Mathematical Modeling and Data Analysis, with expertise in AI, Big Data analysis, Cloud technologies, and Machine and Deep Learning. We have experience in research&educational projects at the international level at Horizon Europe and the European Space Agency. We can contribute to enhancing the destillation of useful knowledge from data, monitoring and analyzing transactions on data, measuring bias in data sets, and fostering a more cohesive and efficient data ecosystem
23/01/2024 MISCANTHUS DOO ZA PROIZVODNJU I USLUGE Croatia Expertise Request Synergy with national and regional initiatives in Europe (CSA) (HORIZON-CL4-2024-DIGITAL-EMERGING-01-34) F&T portal
We proudly champion the Miscanthus Giganteus crop, known as the "King of Fiber," as the premier lignocellulosic biomass feedstock for the EU bioeconomy. We develop Miscanthus biomass plantations, offer foundational rhizome stock, oversee crop cultivation, and provide agronomic services for optimal productivity. In alignment with our vision for a sustainable future, we remain dedicated to excellence, innovation, and environmental responsibility. Email: [email protected]
23/01/2024 ELLIOT CLOUD SL Spain Expertise Request Open Source for Cloud/Edge to support European Digital Autonomy (RIA) (HORIZON-CL4-2024-DIGITAL-EMERGING-01-21) F&T portal
Elliot Cloud, SME with expertise in IoT connectivity (MQTT, OPC-UA, etc.), monitoring and integration (e.g. SCADA, asset mgt), AI/ML (data analytics – graph-based, prediction, detection), digital twin, edge/cloud computing, cybersecurity (IDS, SIEM). We developed a secure IoT end-to-end platform for managing critical infrastructure, based on FIWARE open source and zero-trust architecture. Experience in deploying large-scale pilots in operational environments [email protected]
18/01/2024 AGATA COMUNICACION CIENTIFICA SL Spain Expertise Request Stimulating transnational research and development of next generation quantum technologies, including basic theories and components (Cascading grant with FSTP) (HORIZON-CL4-2024-DIGITAL-EMERGING-01-42) F&T portal
At Agata Communications, we’re experts in delivering outstanding dissemination and communication strategies for EU-funded projects. We’re interested in this call, and have an ample background in Horizon Europe programme.
18/01/2024 logiicdev GmbH Austria Expertise Request Open Source for Cloud/Edge to support European Digital Autonomy (RIA) (HORIZON-CL4-2024-DIGITAL-EMERGING-01-21) F&T portal
High-tech SME Logiicdev is developing AI based test equipment for Battery. We have a strong team of SW, HW, FW, and python-based algorithm developments. We have special expertise and 20+ yrs experience in the implementation & high quality technical support in Big Data, digital twins, AI, Robotics and Autonomous Systems, Cloud Computing and conducting R&D projects around batterie. As a partner we assure our commitment.
Looking forward to talking in detail. Reach us at: [email protected]
18/01/2024 FUNDACION CENTRO TECNOLOXICO DE TELECOMUNICACIONS DE GALICIA Spain Expertise Request Quantum sensing and metrology for market uptake (IA) (HORIZON-CL4-2024-DIGITAL-EMERGING-01-45) F&T portal
Gradiant is an RTO with high-level expertise in the development of ad-hoc communication systems (radio communications, 5G/6G technologies, RF spectral awareness, radar).

We seek partners to integrate the use of RF quantum sensing technologies into different telecommunication use cases.

We can provide experience on TRL upscaling, the capability to lead EU consortia as well as experience developing both telecommunication systems and quantum hardware (Rydberg and/or NV sensors) in our labs.
18/01/2024 AGATA COMUNICACION CIENTIFICA SL Spain Expertise Request Smart photonics for joint communication & sensing and access everywhere (Photonics Partnership) (RIA) (HORIZON-CL4-2024-DIGITAL-EMERGING-01-54) F&T portal
At Agata Communications, we’re experts in delivering outstanding dissemination and communication strategies for EU-funded projects. We’re interested in this call, and have an ample background in Horizon Europe programme.
18/01/2024 HOCHSCHULE FUR ANGEWANDTE WISSENSCHAFTEN NEU-ULM Germany Expertise Request Explainable and Robust AI (AI Data and Robotics Partnership) (RIA) (HORIZON-CL4-2024-HUMAN-01-06) F&T portal
We conduct research in the field of Neuro-Symbolic Artificial Intelligence (AI) and investigate to what extent purely data-based AI architectures can be combined with traditional model-based approaches. For this purpose, we cooperate with partners on a national and international level.
18/01/2024 AGATA COMUNICACION CIENTIFICA SL Spain Expertise Request Pilot line(s) for 2D materials-based devices (RIA) (HORIZON-CL4-2024-DIGITAL-EMERGING-01-31) F&T portal
At Agata Communications, we’re experts in delivering outstanding dissemination and communication strategies for EU-funded projects. We’re interested in this call, and have an ample background in Horizon Europe programme.
18/01/2024 AGATA COMUNICACION CIENTIFICA SL Spain Expertise Request Open Source for Cloud/Edge to support European Digital Autonomy (RIA) (HORIZON-CL4-2024-DIGITAL-EMERGING-01-21) F&T portal
At Agata Communications, we’re experts in delivering outstanding dissemination and communication strategies for EU-funded projects. We’re interested in this call, and have an ample background in Horizon Europe programme.
18/01/2024 logiicdev GmbH Austria Expertise Request Innovation Action in Low Latency and High Bandwidth Interconnects (HORIZON-EUROHPC-JU-2023-INTER-02-01) F&T portal
Logiicdev aims to enhance the quality of life for individuals worldwide, striving to contribute to a more advanced and technology-driven world. LOGI is a cutting-edge SME focused on developing AI-based solutions for testing and services.
17/01/2024 LASER CONSULT MUSZAKI-TUDOMANYOS ES GAZDASAGI TANACSADO KORLATOLT FELELOSSEGU TARSASAG Hungary Expertise Request Stimulating transnational research and development of next generation quantum technologies, including basic theories and components (Cascading grant with FSTP) (HORIZON-CL4-2024-DIGITAL-EMERGING-01-42) F&T portal
LC Innoconsult has been providing commercialization services for over 30 years. We provide services in IPR, exploitation and commercialisation of research results, technology and knowledge transfer, market analysis, training and coaching.
We have participated in 9 EU funded projects, being responsible for Knowledge Management and Exploitation, we also gave exploitation related consultancy services for 80+ EU projects from various different fields.
14/01/2024 FortifyIQ Israel Expertise Request Open Source for Cloud/Edge to support European Digital Autonomy (RIA) (HORIZON-CL4-2024-DIGITAL-EMERGING-01-21) F&T portal
We can provide security solutions for this project and pre-&post-silicon security verification of its chips (by using our EDA tools). Leading in cybersecurity, we guarantee security against physical attacks (SCA and FIA) in HW & SW. Our secure algorithm-based cryptographic IP cores are configurable for speed, compactness and ultra-low power, and are implementation-agnostic. We have uniquely high-performance SW solutions for vulnerable chips in the field, and PQC security is part of our R&D.
12/01/2024 UNEXMIN GEOROBOTICS KORLATOLT FELELOSSEGU TARSASAG Hungary Expertise Request Explainable and Robust AI (AI Data and Robotics Partnership) (RIA) (HORIZON-CL4-2024-HUMAN-01-06) F&T portal
UNEXMIN Gerobotics Ltd (UGR) is a spin-off from a previous Horizon2020 grant. The company has been developing underwater robotic technologies (ROV, AUV) for 5 years. Its diverse international development team can claim a number of technological innovations. UGR and its development team are/has been involved in several Horizon2020, Horizon Europe and EIT projects at both project coordinator and work package leader level, making UGR an excellent industrial partner for both RIA and IA projects.
12/01/2024 UNEXMIN GEOROBOTICS KORLATOLT FELELOSSEGU TARSASAG Hungary Expertise Request Novel paradigms and approaches, towards AI-powered robots– step change in functionality (AI, data and robotics partnership) (RIA) (HORIZON-CL4-2024-DIGITAL-EMERGING-01-03) F&T portal
UNEXMIN Gerobotics Ltd (UGR) is a spin-off from a previous Horizon2020 grant. The company has been developing underwater robotic technologies (ROV, AUV) for 5 years. Its diverse international development team can claim a number of technological innovations. UGR and its development team are/has been involved in several Horizon2020, Horizon Europe and EIT projects at both project coordinator and work package leader level, making UGR an excellent industrial partner for both RIA and IA projects.
12/01/2024 STADT LEIPZIG Germany Expertise Request Industrial leadership in AI, Data and Robotics boosting competitiveness and the green transition (AI Data and Robotics Partnership) (IA)[[https://www.europarl.europa.eu/RegData/etudes/STUD/2021/662906/IPOL_STU(2021)662906_EN.pdf]] (HORIZON-CL4-2024-DIGITAL-EMERGING-01-04) F&T portal
The Smart City Unit of the City of Leipzig is currently working on urban data platforms and digital twins in relation to modelling energy and climate data for the use of city own planning processes such as municipal heating planing but also for monitoring Leipzig's progress towards climate neutrality in the implementation of the EU Mission 100 Climate Neutral and Smart Cities till 2030.
11/01/2024 Yi Mei Vatican City Expertise Request AI-driven data operations and compliance technologies (AI, data and robotics partnership) (IA) (HORIZON-CL4-2024-DATA-01-01) F&T portal
Dr. Yi Mei is an Associate Professor at the School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand. He received his BSc and PhD degrees from University of Science and Technology of China in 2005 and 2010, respectively. His research interests include evolutionary computation for combinatorial optimisation, genetic programming, automatic algorithm design, explainable AI, multi-objective optimisation, transfer/multitask learning and optimisation.
11/01/2024 Yi Mei Vatican City Expertise Request AI-driven data operations and compliance technologies (AI, data and robotics partnership) (IA) (HORIZON-CL4-2024-DATA-01-01) F&T portal
Dr. Yi Mei is an Associate Professor at the School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand. He received his BSc and PhD degrees from University of Science and Technology of China in 2005 and 2010, respectively. His research interests include evolutionary computation for combinatorial optimisation, genetic programming, automatic algorithm design, explainable AI, multi-objective optimisation, transfer/multitask learning and optimisation.
11/01/2024 Yi Mei Vatican City Expertise Request AI-driven data operations and compliance technologies (AI, data and robotics partnership) (IA) (HORIZON-CL4-2024-DATA-01-01) F&T portal
Dr. Yi Mei is an Associate Professor at the School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand. He received his BSc and PhD degrees from University of Science and Technology of China in 2005 and 2010, respectively. His research interests include evolutionary computation for combinatorial optimisation, genetic programming, automatic algorithm design, explainable AI, multi-objective optimisation, transfer/multitask learning and optimisation.
11/01/2024 Yi Mei Vatican City Expertise Request AI-driven data operations and compliance technologies (AI, data and robotics partnership) (IA) (HORIZON-CL4-2024-DATA-01-01) F&T portal
Dr. Yi Mei is an Associate Professor at the School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand. He received his BSc and PhD degrees from University of Science and Technology of China in 2005 and 2010, respectively. His research interests include evolutionary computation for combinatorial optimisation, genetic programming, automatic algorithm design, explainable AI, multi-objective optimisation, transfer/multitask learning and optimisation.
11/01/2024 Yi Mei Vatican City Expertise Request AI-driven data operations and compliance technologies (AI, data and robotics partnership) (IA) (HORIZON-CL4-2024-DATA-01-01) F&T portal
Dr. Yi Mei is an Associate Professor at the School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand. He received his BSc and PhD degrees from University of Science and Technology of China in 2005 and 2010, respectively. His research interests include evolutionary computation for combinatorial optimisation, genetic programming, automatic algorithm design, explainable AI, multi-objective optimisation, transfer/multitask learning and optimisation.
11/01/2024 Yi Mei Vatican City Expertise Request AI-driven data operations and compliance technologies (AI, data and robotics partnership) (IA) (HORIZON-CL4-2024-DATA-01-01) F&T portal
Dr. Yi Mei is an Associate Professor at the School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand. He received his BSc and PhD degrees from University of Science and Technology of China in 2005 and 2010, respectively. His research interests include evolutionary computation for combinatorial optimisation, genetic programming, automatic algorithm design, explainable AI, multi-objective optimisation, transfer/multitask learning and optimisation.
11/01/2024 Yi Mei Vatican City Expertise Request AI-driven data operations and compliance technologies (AI, data and robotics partnership) (IA) (HORIZON-CL4-2024-DATA-01-01) F&T portal
Dr. Yi Mei is an Associate Professor at the School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand. He received his BSc and PhD degrees from University of Science and Technology of China in 2005 and 2010, respectively. His research interests include evolutionary computation for combinatorial optimisation, genetic programming, automatic algorithm design, explainable AI, multi-objective optimisation, transfer/multitask learning and optimisation.
11/01/2024 Yi Mei Vatican City Expertise Request AI-driven data operations and compliance technologies (AI, data and robotics partnership) (IA) (HORIZON-CL4-2024-DATA-01-01) F&T portal
Dr. Yi Mei is an Associate Professor at the School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand. He received his BSc and PhD degrees from University of Science and Technology of China in 2005 and 2010, respectively. His research interests include evolutionary computation for combinatorial optimisation, genetic programming, automatic algorithm design, explainable AI, multi-objective optimisation, transfer/multitask learning and optimisation.
11/01/2024 Yi Mei Vatican City Expertise Request AI-driven data operations and compliance technologies (AI, data and robotics partnership) (IA) (HORIZON-CL4-2024-DATA-01-01) F&T portal
Dr. Yi Mei is an Associate Professor at the School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand. He received his BSc and PhD degrees from University of Science and Technology of China in 2005 and 2010, respectively. His research interests include evolutionary computation for combinatorial optimisation, genetic programming, automatic algorithm design, explainable AI, multi-objective optimisation, transfer/multitask learning and optimisation.
11/01/2024 Yi Mei Vatican City Expertise Request AI-driven data operations and compliance technologies (AI, data and robotics partnership) (IA) (HORIZON-CL4-2024-DATA-01-01) F&T portal
Dr. Yi Mei is an Associate Professor at the School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand. He received his BSc and PhD degrees from University of Science and Technology of China in 2005 and 2010, respectively. His research interests include evolutionary computation for combinatorial optimisation, genetic programming, automatic algorithm design, explainable AI, multi-objective optimisation, transfer/multitask learning and optimisation.
11/01/2024 Yi Mei Vatican City Expertise Request AI-driven data operations and compliance technologies (AI, data and robotics partnership) (IA) (HORIZON-CL4-2024-DATA-01-01) F&T portal
Dr. Yi Mei is an Associate Professor at the School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand. He received his BSc and PhD degrees from University of Science and Technology of China in 2005 and 2010, respectively. His research interests include evolutionary computation for combinatorial optimisation, genetic programming, automatic algorithm design, explainable AI, multi-objective optimisation, transfer/multitask learning and optimisation.
11/01/2024 Yi Mei Vatican City Expertise Request AI-driven data operations and compliance technologies (AI, data and robotics partnership) (IA) (HORIZON-CL4-2024-DATA-01-01) F&T portal
Dr. Yi Mei is an Associate Professor at the School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand. He received his BSc and PhD degrees from University of Science and Technology of China in 2005 and 2010, respectively. His research interests include evolutionary computation for combinatorial optimisation, genetic programming, automatic algorithm design, explainable AI, multi-objective optimisation, transfer/multitask learning and optimisation.
11/01/2024 Yi Mei Vatican City Expertise Request AI-driven data operations and compliance technologies (AI, data and robotics partnership) (IA) (HORIZON-CL4-2024-DATA-01-01) F&T portal
Dr. Yi Mei is an Associate Professor at the School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand. He received his BSc and PhD degrees from University of Science and Technology of China in 2005 and 2010, respectively. His research interests include evolutionary computation for combinatorial optimisation, genetic programming, automatic algorithm design, explainable AI, multi-objective optimisation, transfer/multitask learning and optimisation.
11/01/2024 Yi Mei Vatican City Expertise Request AI-driven data operations and compliance technologies (AI, data and robotics partnership) (IA) (HORIZON-CL4-2024-DATA-01-01) F&T portal
Dr. Yi Mei is an Associate Professor at the School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand. He received his BSc and PhD degrees from University of Science and Technology of China in 2005 and 2010, respectively. His research interests include evolutionary computation for combinatorial optimisation, genetic programming, automatic algorithm design, explainable AI, multi-objective optimisation, transfer/multitask learning and optimisation.
11/01/2024 Yi Mei Vatican City Expertise Request AI-driven data operations and compliance technologies (AI, data and robotics partnership) (IA) (HORIZON-CL4-2024-DATA-01-01) F&T portal
Dr. Yi Mei is an Associate Professor at the School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand. He received his BSc and PhD degrees from University of Science and Technology of China in 2005 and 2010, respectively. His research interests include evolutionary computation for combinatorial optimisation, genetic programming, automatic algorithm design, explainable AI, multi-objective optimisation, transfer/multitask learning and optimisation.
11/01/2024 Yi Mei Vatican City Expertise Request AI-driven data operations and compliance technologies (AI, data and robotics partnership) (IA) (HORIZON-CL4-2024-DATA-01-01) F&T portal
Dr. Yi Mei is an Associate Professor at the School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand. He received his BSc and PhD degrees from University of Science and Technology of China in 2005 and 2010, respectively. His research interests include evolutionary computation for combinatorial optimisation, genetic programming, automatic algorithm design, explainable AI, multi-objective optimisation, transfer/multitask learning and optimisation.
11/01/2024 Yi Mei Vatican City Expertise Request AI-driven data operations and compliance technologies (AI, data and robotics partnership) (IA) (HORIZON-CL4-2024-DATA-01-01) F&T portal
Dr. Yi Mei is an Associate Professor at the School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand. He received his BSc and PhD degrees from University of Science and Technology of China in 2005 and 2010, respectively. His research interests include evolutionary computation for combinatorial optimisation, genetic programming, automatic algorithm design, explainable AI, multi-objective optimisation, transfer/multitask learning and optimisation.
11/01/2024 Yi Mei Vatican City Expertise Request AI-driven data operations and compliance technologies (AI, data and robotics partnership) (IA) (HORIZON-CL4-2024-DATA-01-01) F&T portal
Dr. Yi Mei is an Associate Professor at the School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand. He received his BSc and PhD degrees from University of Science and Technology of China in 2005 and 2010, respectively. His research interests include evolutionary computation for combinatorial optimisation, genetic programming, automatic algorithm design, explainable AI, multi-objective optimisation, transfer/multitask learning and optimisation.
11/01/2024 Yi Mei Vatican City Expertise Request AI-driven data operations and compliance technologies (AI, data and robotics partnership) (IA) (HORIZON-CL4-2024-DATA-01-01) F&T portal
Dr. Yi Mei is an Associate Professor at the School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand. He received his BSc and PhD degrees from University of Science and Technology of China in 2005 and 2010, respectively. His research interests include evolutionary computation for combinatorial optimisation, genetic programming, automatic algorithm design, explainable AI, multi-objective optimisation, transfer/multitask learning and optimisation.
11/01/2024 Yi Mei Vatican City Expertise Request AI-driven data operations and compliance technologies (AI, data and robotics partnership) (IA) (HORIZON-CL4-2024-DATA-01-01) F&T portal
Dr. Yi Mei is an Associate Professor at the School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand. He received his BSc and PhD degrees from University of Science and Technology of China in 2005 and 2010, respectively. His research interests include evolutionary computation for combinatorial optimisation, genetic programming, automatic algorithm design, explainable AI, multi-objective optimisation, transfer/multitask learning and optimisation.
11/01/2024 Yi Mei Vatican City Expertise Request AI-driven data operations and compliance technologies (AI, data and robotics partnership) (IA) (HORIZON-CL4-2024-DATA-01-01) F&T portal
Dr. Yi Mei is an Associate Professor at the School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand. He received his BSc and PhD degrees from University of Science and Technology of China in 2005 and 2010, respectively. His research interests include evolutionary computation for combinatorial optimisation, genetic programming, automatic algorithm design, explainable AI, multi-objective optimisation, transfer/multitask learning and optimisation.
11/01/2024 Yi Mei Vatican City Expertise Request AI-driven data operations and compliance technologies (AI, data and robotics partnership) (IA) (HORIZON-CL4-2024-DATA-01-01) F&T portal
Dr. Yi Mei is an Associate Professor at the School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand. He received his BSc and PhD degrees from University of Science and Technology of China in 2005 and 2010, respectively. His research interests include evolutionary computation for combinatorial optimisation, genetic programming, automatic algorithm design, explainable AI, multi-objective optimisation, transfer/multitask learning and optimisation.
11/01/2024 Yi Mei Vatican City Expertise Request AI-driven data operations and compliance technologies (AI, data and robotics partnership) (IA) (HORIZON-CL4-2024-DATA-01-01) F&T portal
Dr. Yi Mei is an Associate Professor at the School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand. He received his BSc and PhD degrees from University of Science and Technology of China in 2005 and 2010, respectively. His research interests include evolutionary computation for combinatorial optimisation, genetic programming, automatic algorithm design, explainable AI, multi-objective optimisation, transfer/multitask learning and optimisation.
11/01/2024 Yi Mei Vatican City Expertise Request AI-driven data operations and compliance technologies (AI, data and robotics partnership) (IA) (HORIZON-CL4-2024-DATA-01-01) F&T portal
Dr. Yi Mei is an Associate Professor at the School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand. He received his BSc and PhD degrees from University of Science and Technology of China in 2005 and 2010, respectively. His research interests include evolutionary computation for combinatorial optimisation, genetic programming, automatic algorithm design, explainable AI, multi-objective optimisation, transfer/multitask learning and optimisation.
11/01/2024 Yi Mei Vatican City Expertise Request AI-driven data operations and compliance technologies (AI, data and robotics partnership) (IA) (HORIZON-CL4-2024-DATA-01-01) F&T portal
Dr. Yi Mei is an Associate Professor at the School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand. He received his BSc and PhD degrees from University of Science and Technology of China in 2005 and 2010, respectively. His research interests include evolutionary computation for combinatorial optimisation, genetic programming, automatic algorithm design, explainable AI, multi-objective optimisation, transfer/multitask learning and optimisation.
11/01/2024 Yi Mei Vatican City Expertise Request AI-driven data operations and compliance technologies (AI, data and robotics partnership) (IA) (HORIZON-CL4-2024-DATA-01-01) F&T portal
Dr. Yi Mei is an Associate Professor at the School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand. He received his BSc and PhD degrees from University of Science and Technology of China in 2005 and 2010, respectively. His research interests include evolutionary computation for combinatorial optimisation, genetic programming, automatic algorithm design, explainable AI, multi-objective optimisation, transfer/multitask learning and optimisation.
11/01/2024 Yi Mei Vatican City Expertise Request AI-driven data operations and compliance technologies (AI, data and robotics partnership) (IA) (HORIZON-CL4-2024-DATA-01-01) F&T portal
Dr. Yi Mei is an Associate Professor at the School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand. He received his BSc and PhD degrees from University of Science and Technology of China in 2005 and 2010, respectively. His research interests include evolutionary computation for combinatorial optimisation, genetic programming, automatic algorithm design, explainable AI, multi-objective optimisation, transfer/multitask learning and optimisation.
11/01/2024 Yi Mei Vatican City Expertise Request AI-driven data operations and compliance technologies (AI, data and robotics partnership) (IA) (HORIZON-CL4-2024-DATA-01-01) F&T portal
Dr. Yi Mei is an Associate Professor at the School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand. He received his BSc and PhD degrees from University of Science and Technology of China in 2005 and 2010, respectively. His research interests include evolutionary computation for combinatorial optimisation, genetic programming, automatic algorithm design, explainable AI, multi-objective optimisation, transfer/multitask learning and optimisation.
11/01/2024 Yi Mei Vatican City Expertise Request AI-driven data operations and compliance technologies (AI, data and robotics partnership) (IA) (HORIZON-CL4-2024-DATA-01-01) F&T portal
Dr. Yi Mei is an Associate Professor at the School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand. He received his BSc and PhD degrees from University of Science and Technology of China in 2005 and 2010, respectively. His research interests include evolutionary computation for combinatorial optimisation, genetic programming, automatic algorithm design, explainable AI, multi-objective optimisation, transfer/multitask learning and optimisation.
11/01/2024 Yi Mei Vatican City Expertise Request AI-driven data operations and compliance technologies (AI, data and robotics partnership) (IA) (HORIZON-CL4-2024-DATA-01-01) F&T portal
Dr. Yi Mei is an Associate Professor at the School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand. He received his BSc and PhD degrees from University of Science and Technology of China in 2005 and 2010, respectively. His research interests include evolutionary computation for combinatorial optimisation, genetic programming, automatic algorithm design, explainable AI, multi-objective optimisation, transfer/multitask learning and optimisation.
11/01/2024 Yi Mei Vatican City Expertise Request AI-driven data operations and compliance technologies (AI, data and robotics partnership) (IA) (HORIZON-CL4-2024-DATA-01-01) F&T portal
Dr. Yi Mei is an Associate Professor at the School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand. He received his BSc and PhD degrees from University of Science and Technology of China in 2005 and 2010, respectively. His research interests include evolutionary computation for combinatorial optimisation, genetic programming, automatic algorithm design, explainable AI, multi-objective optimisation, transfer/multitask learning and optimisation.
11/01/2024 Yi Mei Vatican City Expertise Request AI-driven data operations and compliance technologies (AI, data and robotics partnership) (IA) (HORIZON-CL4-2024-DATA-01-01) F&T portal
Dr. Yi Mei is an Associate Professor at the School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand. He received his BSc and PhD degrees from University of Science and Technology of China in 2005 and 2010, respectively. His research interests include evolutionary computation for combinatorial optimisation, genetic programming, automatic algorithm design, explainable AI, multi-objective optimisation, transfer/multitask learning and optimisation.
11/01/2024 Yi Mei Vatican City Expertise Request AI-driven data operations and compliance technologies (AI, data and robotics partnership) (IA) (HORIZON-CL4-2024-DATA-01-01) F&T portal
Dr. Yi Mei is an Associate Professor at the School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand. He received his BSc and PhD degrees from University of Science and Technology of China in 2005 and 2010, respectively. His research interests include evolutionary computation for combinatorial optimisation, genetic programming, automatic algorithm design, explainable AI, multi-objective optimisation, transfer/multitask learning and optimisation.
11/01/2024 Yi Mei Vatican City Expertise Request AI-driven data operations and compliance technologies (AI, data and robotics partnership) (IA) (HORIZON-CL4-2024-DATA-01-01) F&T portal
Dr. Yi Mei is an Associate Professor at the School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand. He received his BSc and PhD degrees from University of Science and Technology of China in 2005 and 2010, respectively. His research interests include evolutionary computation for combinatorial optimisation, genetic programming, automatic algorithm design, explainable AI, multi-objective optimisation, transfer/multitask learning and optimisation.