The theme chosen by ICDSE 2027 for this year’s conference is “Agentic AI for Public Health and Wellness”. Authors are invited to submit original, high-quality, and unpublished research contributions exploring data engineering, advanced computation, and medical systems.
All selected and presented papers will be submitted to IEEE xplore for possible inclusion as proceedings of ICDSE 2027 ( Approval pending).
Page length crossing 6 will have extra page charges
Formatting templates (Docx / Latex) can be downloaded from:
ICDSE Template
Select a track to review topics and respective Track Chairs
Focuses on core algorithmic improvements, novel network architectures, training optimizations, and theoretical foundations of AI/ML.
Track Chair: Shailesh Sivan, Cochin University, India
Focuses on clinical diagnostic support systems, personal vital tracking, automated wellness modeling, and assistive technologies.
Track Chair: Jeena K, Cochin University, India
Deals with pattern recognition in genomics, sequence alignment, protein folding prediction, and pathway analytics using AI.
Track Chair: Jereesh A S, Cochin University, India
Focuses on high-throughput database systems, distributed pipelines, and cloud computing for biology databases.
Track Chair: Bijoy A Jose, Cochin University of Science and Technology, Kerala
Covers explainable AI in medicine, patient data privacy, policy frameworks, and socio-technical safety regulations.
Track Chair: Deepak Padmanabhan, Queen's University Belfast, UK
PhD students in data science, advanced computing, computational biology, and related fields are invited to present their ongoing research. This symposium provides a unique venue to receive feedback from senior academic panels, industry experts, and peer research groups.
Submissions to the Doctoral Symposium should describe the research problem, methodology, and current progress. Selected PhD delegates will present their work in interactive poster and slide sessions.
Inquire About Symposium