We invite you to submit special session proposals on any topic related to the broad areas of interest of the conference. The special session should cover a topic that is contemporary, hot, and complementary to the normal CFP topics. The special session should be able to generate enthusiasm among the conference participants. Each organized session should have a minimum of 6 registered papers that will be subject to the regular review cycle. The session organizers have full authority in soliciting papers for the session. Each session is limited to no more than 3 organizers. Proposals should be submitted before the deadline of August 31, 2023 (early the better).

Special Session Proposal Submission Details

A 2-page maximum PDF file, including the following:

- Title of the special session.
- Description of the topics that the special session will address, how the special session complements the reviewed paper sessions in the main conference, and why the theme of the special session is relevant.
- Expected format of the special session (ideas to promote the active exchange of ideas especially in a virtual format).
- Organizers with a short bio, affiliation, and their expertise in the proposed topic(s)

Note: If you would like to propose a special session, please email the proposal in the above format to Dr. Anu Bajaj <er.anubajaj@gmail.com> with a cc to Ms. Mabrouka Salmi <salmimabrouka7@gmail.com>

Approved Special Sessions

SS1: Data Driven Decision Support Systems for Smart Business Solutions
Organizers:
Dalia Kriksciuniene, Vilnius University, Lithuania
Virgilijus Sakalauskas Vilnius University, Lithuania

SS2: Intelligent Systems: Agri-health and Informatics
Organizers:
Shilpa Gupta, Maharaja Agrasen University, Himachal Pradesh, India,
Deepti Chaudhary, University Institute of Engineering and Technology,
Kurukshetra University, India
Amit Chopra, Maharaja Agrasen University, Himachal Pradesh, India

SS3: Emerging Topics In 5G/6G Communication Systems
Organizers:
Meenakshi, University Institute of Engineering, Chandigarh University, Mohali, India
Deepti Chaudhary, University Institute of Engineering and Technology, Kurukshetra University, India
Ajith Abraham, Machine Intelligence Research Labs, USA

SS4: Deep Learning models in Image and Video Analytics
Organizers:
R. Devi Priya, KPR Institute of Engineering and Technology, Coimbatore, India
T. Rajasekaran, KPR Institute of Engineering and Technology, Coimbatore, India
D. Vanathi, Nandha Engineering College, Erode, India