Nicola's research is distinguished by its high quality, interdisciplinary approach, and significant impact. His work spans across multiple domains, including Artificial Intelligence, Computer Vision, Deep Learning, and Multimedia Information Retrieval. He has made substantial contributions to both the theoretical and applied aspects of these fields, with measurable scientific and practical outcomes.
Read more: Nicola Messina - Winner of the 2024 Cor Baayen Award
The EU-funded project TERMINET has worked on next-generation IoT across six realistic use cases, featuring software-defined networking, edge computing, virtualization, federated learning, augmented, and virtual reality interfaces. For TERMINET, ERCIM focused on standardization, as well as conducting research on moving beyond the limitations of current approaches to knowledge representation and reasoning.
For more information, see:
https://terminet-h2020.eu/towards-next-generation-iot/
https://ercim-news.ercim.eu/en136/r-i/terminet-pioneering-the-future-of-smart-interconnected-iot
We are pleased to share insights from the recent 4th Workshop jointly organized by ERCIM and the Japan Science and Technology Agency (JST), held in Kyoto, Japan, in October 2023. This workshop, themed “Exploring New Research Challenges and Collaborations in Artificial Intelligence, Big Data, Human-Computer Interaction, and the Internet of Things,” served as a dynamic platform for European and Japanese researchers to present their latest findings and discuss future collaborations.
Hosted by JST as part of the Advanced Integrated Intelligence Platform project, the event successfully fostered discussions on cutting-edge research and development in critical technological domains. Participants had the unique opportunity to explore potential partnerships within the framework of European Commission programs and corresponding initiatives by JST, setting the stage for innovative international collaborations in the fields of AI, Big Data, HCI, and IoT.
The full report is available here: https://ercim-news.ercim.eu/en136/jea/report-on-the-4th-joint-jst-ercim-workshop
The ERCIM Selection Committee for the Cor Baayen Young Researcher Award unanimously selected Rianne de Heide, nominated by CWI, as the winner for 2023. An honorary mention is given to Denis Merigoux from Inria.
Dr. Rianne de Heide's research activity stands out for its quality and breadth. Her work covers a wide variety of topics within the general field of mathematical statistics, with focus on learning from data. In her work, Bayesian learning is used as a tool, sometimes critically evaluated, sometimes extended, always with a strong mathematical-theoretical component. Her work reaches breadth by (a) the aspects of learning from data/statistics that are studied: optional stopping, misspecification (statistics with incorrect but useful models), philosophical problems in induction, bandits, and (b) the scope across various other disciplines: philosophy and logic, psychology, and machine learning and AI.
Read more: 2023 Cor Baayen Early Career Researcher Award for Rianne de Heide
Read more: ERCIM Appoints Dominique Hazael-Massieux as Manager of ERCIM EEIG