Special Sessions

ESIC-2027

Special Sessions

Co-located thematic sessions at ESIC-2027

Call for Special Session Proposals

The editorial board invites proposals for Special Sessions to supplement the regular program of ESIC-2027. Special sessions focus on emerging research topics of specific domain interest, led by eminent professors and researchers.

Proposals should be focused and must not overlap with the regular conference tracks. The final approval is based on the novelty, domain focus, and multi-disciplinary essence of the proposed session.

01
Proposal Requirements
  • Provide an overview of state-of-the-art and highlight important research directions in a focused domain.
  • The proposal must not exceed 2 pages and should include:
a Title of the proposed session with a short abbreviation
b Names, affiliations, brief bio, and email of all Session Chair(s)
c Session abstract/theme — significance and rationale
d List of Topics of Interest
e Submission process details (email submission only)
02
Submission Process
  • Download and use the official proposal template below.
  • Submit your completed proposal via email to the organising team.
  • Approval decision will be communicated within 3 working days.
  • Approved sessions will be published on this webpage with a dedicated Call for Papers.
Special Session Chair Incentive Policy

To encourage the organization of high-quality Special Sessions, the following incentive is offered to Session Chairs:

Minimum Registered Papers Each Special Session must secure a minimum of 10 registered papers to qualify for the incentive.
Complimentary Registration Upon achieving this target, the Special Session Chair will be entitled to one complimentary (free) registration for the conference.
Exclusively for the Chair The complimentary registration will be granted exclusively to the Special Session Chair of that Special Session.
Approved Special Sessions

Co-Located with ESIC-2027

SS-01
Intelligent Health Informatics

AI-Driven Healthcare Analytics, Medical Imaging, and Smart Healthcare Systems

View CFP
Dr. R. Arthi
Dr. R. Arthi

Session Chair

Associate Professor, Dept. of ECE
SRM Institute of Science and Technology
Ramapuram Campus, Chennai, India

Healthcare AI  ·  Machine Learning  ·  Medical Imaging

Healthcare is undergoing a transformative revolution through Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Internet of Medical Things (IoMT), Explainable AI (XAI), Big Data Analytics, and Digital Health Technologies. Intelligent Health Informatics is emerging as a multidisciplinary field that enhances disease diagnosis, patient monitoring, personalized treatment, healthcare decision-making, and remote healthcare delivery.

This special session provides a platform for researchers, academicians, healthcare professionals, industry experts, and practitioners to present innovative methodologies, applications, and emerging trends in AI-enabled healthcare systems.

Topics of Interest include:
AI-based Disease Diagnosis Medical Image Analysis IoMT & Smart Wearables Explainable AI in Healthcare Electronic Health Records Federated Learning in Medicine Remote Patient Monitoring Drug Discovery with AI