Getting Together for Computing Cross-fertilization and Broader Participation
Keywords:
Machine Learning, Wireless Power Transfer, Blockchain Technology, Green Economy, Security, Software Engineering EducationSynopsis
This is a Chapter in:
Book:
Automated Systems, Data, and Sustainable Computing
Series:
Chronicle of Computing
Chapter Abstract:
This paper briefly presents the diversity and quality of the work presented by distinguished speakers, from academia and industry, at the 2021 Inaugural OkIP Academia & Industry Convention. Speakers’ short biography is also presented. For maximum cross-fertilization and broader participation, they talked in various areas of computing, including (1) threat modeling and machine learning, (2) sustainable energy harvesting and wireless power transfer systems, (3) blockchain technology and its implications in business applications and healthcare IT, (4) biosensors in a green economy, and (5) software engineering body of knowledge guide.
Cite this paper as:
Tiako P.F., Mead N.R., Tentzeris M.M., Kumar A., Jobe T., Bourque P. (2022) Getting Together for Quality Cross-fertilization and Broader Participation. In: Tiako P.F. (ed) Automated Systems, Data, and Sustainable Computing. Chronicle of Computing. OkIP. https://doi.org/10.55432/978-1-6692-0001-7_1
Contact:
Pierre Tiako
tiako@ieee.org
References
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