CAMSSC 2024

International Conference
on
Computer-Aided Modeling for the Sustainable Development of Smart Cities
Nov. 27 - 30, 2024
Itanagar, India

CAMSSC 2024 is an attempt in the direction to provide a forum uniting academicians/researchers/scientists/practicing engineers/ industry professionals from around the world to share their research findings and ideas for the sustainable development of smart cities. This is an opportunity for the researchers to understand cities problems, and share their expertise knowledge to mitigate those problems in the direction to the sustainable development of smart cities. This conference will serve as a platform to explore the opportunities of collaboration with national and international organizations of repute to the research community. This conference will give a space to share multi-disciplinary thought to work for the development of the cities and societies as a whole.

The CAMSSC 2024 conference papers are proposed to be published in the Scopus indexed journals. For details click here.

Information brochure of the conference may be downloaded from here.

BACKGROUND OF THE CONFERENCE
Topics and Tracks of CAMSSC 2024
Track 1:  Application of AI in Smart Cities
Track 2: Materials for Sustainable Development
Track 3: Smart Mobility and Traffic Management
Track 4: Soil improvement for sustainable development
Track 5: Sustainable management of water, environment and climate change
Track 6: Modeling sustainable structure and disaster management

Important Dates

Conference Date: Nov. 27 - 30, 2024
Full Paper Submission:

Sept. 30, 2024

October 10, 2024

October 20, 2024

October 30, 2024

Submission deadline extended due to multiple requests

November 15, 2024

Acceptance Notification:

Nov. 16, 2024 (2 PM)

Camera Ready Submission:

Nov. 16, 2024 (11:59 PM)

Registration:

November 17, 2024 (11:59 PM)

Partners of CAMSSC 2024

Authors who have genuine difficulties attending the conference in person may present their work online. For student presenters choosing the online mode, no fee waivers will be granted, even if their paper has a similarity index below 10%.