Celso Singo Aramaki is an applied visual researcher and professional operating at the intersection of visual arts, interaction design, and information design. His core expertise lies in developing Knowledge Design and Cultural Data Analytics frameworks for diverse projects and startups.
With international experience spanning Tokyo, Singapore, and other global locations, Celso has a strong portfolio of contributions. In Brazil, he has written for Folha de São Paulo. Internationally, his work includes projects for MTV Channel in the United States, and initiatives in Japan for major media and technology firms, including NEC Japan, NHK, Ask Kodansha, Oracle Japan, Dentsu, Casio, Apple Japan, Adobe Japan, and Tomy.
His professional specializations center on the development of Cultural Data Analytics, Knowledge Frameworks, Interactive Datasets, and brand placement for both online and offline Digital Humanities projects. He maintains a special interest in leveraging Artificial Intelligence Agents within Knowledge Framework Projects for Humanities research initiatives.
Celso holds a degree in Public Policy Management from the University of São Paulo (USP) and is the Co-founder and Director of RbyD (Revolution By Design), where he currently leads the Long Now Design project.
Contacts
CELSO SINGO ARAMAKI
Contact and References:
- Websites: Celso RbyD NooGrams
- Professional Contact:
- email: celso(at)celso.agency
- Lattes ID: http://lattes.cnpq.br/4964988088624608
- ORCID: https://orcid.org/0000-0002-7240-0906
ACADEMIC BACKGROUND
- Bachelor’s Degree in Public Policy Management (2014-2023) – University of São Paulo (USP), Brazil
- Thesis: Plan for a Public Policy Observatory of Brazilian Municipalities in the Cultural Economy and Creative Economy
- Advisor: Prof. Dr. José Carlos Vaz
ADDITIONAL TRAINING
- Complex Systems Applications (USP, 2023)
- Complex Systems Modeling to Economic Systems (USP, 2015)
- Introduction to Data Analysis Using R (USP, 2015)
- Algorithmic Design (Processing.Org, USA, 2014)
- Digital Contents Industry (Co-Festa, Japan, 2009)
- Asian Movie Industry (TIFFCOM, Japan, 2007)
- Computer Graphics (ACM SIGGRAPH, USA, 1999)
- Quick Time VR (Apple Developers Seminars, Japan, 1999)
- Visualizing Community Formation (ACM SIGGRAPH, USA, 1998)
- Apple Human Interface Guidelines (Apple Developers Seminars, Japan, 1996)
- Introduction to Evolutionary Computation (Artificial Life Group, Japan, 1995)
PROFESSIONAL EXPERIENCE
Noograms (Japan, 2012 – present)
- Creator and Director
- Art exhibitions, game development, and book publishing
RbyD – Revolution By Design (Japan, 2016 – present)
- Co-Founder and Director
- Development of AI-based investment frameworks for project lifecycle management
QNeuron (Brazil/Singapore, 2015 – 2023)
- Co-Founder and Director
- AI solutions for creative content management
Fluxstreets (Japan, 2006 – 2010)
- Co-Founder and Director
- Development of microbrands and small business networks
Folha de São Paulo (Brazil/USA, 1985 – 1991; 1998 – 2005)
- Illustrator and journalist
- Creator of the comic strips “Rard” and “Folhinha”
FIELDS OF EXPERTISE
- Public Policies Management
- Design and Transmedias
LANGUAGES
- Portuguese: Fluent
- English: Advanced
- Japanese: Intermediate
PUBLICATIONS
Bibliographic Production
- “Plan for a Public Policy Observatory of Brazilian Municipalities in the Cultural Economy and Creative Economy” (2023)
- “UBI Blockchain Universal Basic Income Platform” (2017)
- “DCAJ White Paper Digital Contents Association of Japan” (2014, 2008, 2007)
- “Noograms Artificial Life Platform” (2012)
- “Microbrands as Artificial Life Agents” (2010)
- “The Brazilian Digital Contents Industry” (2007)
Artistic Production
- “Noograms” (2026) – Graphic Novel / Manhwa
- “Noograms” (2012) – Painting Exhibition
- “Brincadeiras – Folhinha” (2000) – Illustratiobs and Drawings
- “Bande Dessinée Storyboard for Jack London’s Biography” (1993)
- “Rard – Comic Book” (1989, 1991)
SOCIAL REFERENCES
LinkedIn: https://www.linkedin.com/in/shingoaramaki
GitHub: https://github.com/CelsoSingoAramaki
Lattes: http://lattes.cnpq.br/4964988088624608
Orcid: https://orcid.org/0000-0002-7240-0906
FAMILY

