Professor Debasis Chanda, Dean-Academic, MDI Murshidabad, presented a Paper on Artificial Intelligence at CAINE 2019, California, USA
Professor Debasis Chanda, Dean-Academic, MDI Murshidabad, presented a Paper on Artificial Intelligence titled “AI Based Data Architecture Impact Analysis” at the 32nd International Conference on Computer Applications in Industry and Engineering (CAINE 2019). The AI (Artificial Intelligence) based work is based on data / information modeling, which focuses on data interoperability. The work attempts to mitigate challenges to the impact analysis of business objects / data, and thus to business sustainability of organizations.
CAINE 2019, the 32nd International Conference on Computer Applications in Industry and Engineering, was held from September 30-October 2, 2019, at Sheraton San Diego Hotel & Marina, California, USA. The Conference was sponsored by the International Society for Computers and Their Applications (ISCA).
It would be worthwhile to note that Prof Debasis Chanda was the sole paper presenter who was invited to dinner on October 01, 2019 by Governing Body members of ISCA.
The Conference had participants from reputed Universities such as Central Michigan University USA, University of Nevada, Reno USA, City University of New York, California State University of Los Angeles, California State University, Long Beach USA, Southern Illinois University USA, Minnesota State University Mankato USA, University of Wisconsin-Platteville, York University Canada, Emden/Leer University of Applied Sciences Germany, Florida State University USA, North Dakota State University USA, San Diego State University USA, Kansas State University USA, Naturales Universidad Nacional de San Luis Argentina, Miami University-Oxford, University Paris 1 Pantheon Sorbonne France.
CAINE 2019 provided an international forum for presentation and discussion of research on computer applications in industry and engineering. Proceedings have been published in the EasyChair EPiC Series in Computing, that is open access and in some major indexes such as Scopus, EI, Microsoft Academic Search, Google Scholar.
