Displaying 3051 - 3100 of 39847
| Request date Sort ascending | Organisation name | Country | Search type | Topic | Link | ||||||
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| 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] |
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| 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 | 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. |
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| 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. | |||||||||||
| 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. |
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| 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 | 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. | |||||||||||
| 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. | |||||||||||
| 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. | |||||||||||
| 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. | |||||||||||