ICON 23 - National Conference

8th National Conference on Recent Trends in ABCD
(Artificial Intelligence, Block Chain, Cloud Computing and Data Analytics)
23.3.2023 & 24.3.2023
Organized by
Department of Information Technology

About The Conference - ICON 23

The 8th National Conference on Recent Trends in ABCD (Artificial Intelligence, Block chain, Cloud computing and Data analytics(ICON’23) primarily focuses on research topics in Artificial intelligence, block chain Cloud computing, and data analytics. AI is becoming the future of everything and is the umbrella term for "smart” technologies improving industry processes, fostering innovation, optimizing business efficiency, and improving productivity. The Artificial intelligence works incorporate elements from Machine learning, Computer vision, and Pattern recognition. Block chain is proving to be a game changer in numerous industries and has an endless amount of applications across almost every industry and sector like finance, insurance, e-commerce, healthcare, etc. Cloud computing is the on-demand delivery of IT resources over the Internet that enables faster innovation, flexible usage of resources, and economics of sale. Data analytics is the process of inspecting and transforming data sets in order to find new trends and make solid conclusions from the raw data they contain and support decision-making. New technologies accelerate the need for academicians to adapt swiftly and discover new possibilities.
The main theme of ICON’23 - National Conference on Recent Trends in ABCD (Artificial Intelligence, Block chain, Cloud computing, and data analytics brings together domain experts to discuss the relative areas. It provides a platform to explore how these infrastructures can contribute to scientific progress with societal and economic impact. This conference intends to give a chance for researchers and students to share creative perspectives and also form research linkages. ICON’23 is a great opportunity for fruitful interaction among dynamic research scholars, faculty members, PG- UG students, and industrial experts.

Submission Guidelines :
Prospective Authors may kindly submit their papers in MS Word not exceeding six pages, in IEEE double-column format, through email to icon@drmgrdu.ac.in

Important Dates :
Last date for submitting the article: 27-02-2023
Notification of Acceptance: 15-03-2023
Camera-Ready Paper: 20-03-2023
Mail your article to: icon@drmgrdu.ac.in

Registration Fee :
UG/PG Student: Rs 200/-
Faculty/Research Scholar: Rs 300/-
Industry Person: Rs 500/-
The conference will be conducted in a Hybrid mode
23.03.2023 - Offline Presentation
24.03.2023 - Online Presentation
24.03.2023 - Offline Poster/Project demo