IEEE Awards

IEEE Frank Rosenblatt Award

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The IEEE Frank Rosenblatt Award is a Technical Field Award sponsored by the IEEE Computational Intelligence Society.

The award, established in 2004, is named in honor of Frank Rosenblatt, who is regarded as one of the founders of neural networks. Basing his research on study of fly vision, he developed the single-layer input layer and an output layer of neural cells. Frequent presentation of a pattern or patterns resulted in changes in the input to output connections, facilitating future recognition of these patterns, or memory. His work influenced and anticipated many modern neural network approaches.

This award will be presented for outstanding contributions to the advancement of the design, practice, techniques or theory in biologically and linguistically motivated computational paradigms including but not limited to neural networks, connectionist systems, evolutionary computation, fuzzy systems, and hybrid intelligent systems in which these paradigms are contained.

This award may be presented to an individual, multiple recipients, or a team of not more than three members. This award is administered by the Technical Field Awards Council of the IEEE Awards Board. Prize items include a bronze medal, certificate and honorarium.

View past IEEE Frank Rosenblatt Award Recipients (PDF)

Congratulations to Bernadette Bouchon-Meunier

Recipient of the 2024 IEEE Frank Rosenblatt Technical Field Award

The IEEE Computational Intelligence Society is most pleased to announce that Bernadette Bouchon-Meunier has been selected as the recipient of the prestigious 2024 IEEE Frank Rosenblatt Technical Field Award "for contributions to the foundations and applications of approximate reasoning and fuzzy systems." Bernadette Bouchon-Meunier will receive the award at The IEEE World Congress on Computational Intelligence (IEEE WCCI 2024) which will be held in Yokohama, Japan from 30 June - 5 July 2024.

Bernadette Bouchon-Meunier is a director of research emeritus at the National Center for Scientific Research. She was the head of the department of Databases and Machine Learning (DAPA), as well as the head of the research group Machine Learning and Information Retrieval (MALIRE) of DAPA in the Computer Science Laboratory of the University Paris 6 (LIP6) until 2013. Since 2014, she has been a member of the research group Learning, Fuzzy and Intelligent Systems (LFI) in the Department of Artificial Intelligence ans Data Sciences, as well as a member of the Sorbonne Center for Artificial Intelligence.

She is an IEEE Life Fellow, an International Fuzzy Systems Association fellow, an Honorary Member of the European Association for Fuzzy Logic and Technology (EUSFLAT) and a fellow of the Asia-Pacific Artificial Intelligence Association (AAIA). She was appointed as Distinguished Lecturer of the IEEE CIS for the period 2014-2016. She received the 2012 IEEE Computational Intelligence Society Meritorious Service Award, the 2017 EUSFLAT Scientific Excellence Award, the 2018 IEEE Computational Intelligence Society Fuzzy Systems Pioneer Award, the 2019 Outstanding Volunteer Award of the IEEE France Section and the IEEE 2024 Frank Rosenblatt award.

Her present research interests include approximate and similarity-based reasoning, as well as the application of fuzzy logic and machine learning techniques to decision-making, data mining, risk forecasting, information retrieval, user modelling, sensorial and emotional information processing, management of information quality and eXplainable Artificial Intelligence.

Read full bio here.