Submit original theoretical, algorithmic, empirical, and policy contributions to SVACS 2027. Zero submission fees with rapid 2–4 working day peer-review turnaround.
10 grants are open for SVACS 2027. Apply during abstract submission — abstract intake closes 8 January 2027.
Enrolled undergraduate, postgraduate, and doctoral (PhD) scholars submitting as the primary / first author across any of the 7 conference tracks.
The Technical Program Committee evaluates abstracts based on originality, methodological rigor, ethical clarity, and summit impact. Top 10 ranked student submissions receive the grant.
100% Student Presenter fee waiver (valued at ₹25,000 across 10 endowed grants; standard student rate: ₹2,500), virtual presentation slot, publication in SVACS 2027 Conference Proceedings (ISBN: pending allocation), permanent CERN Zenodo DOI, and official Grantee Certificate.
10 sponsored seats are available. Apply during abstract submission; student presenter registrations remain open until 8 January 2027.
Systems that ship: production ML, agentic workflows, retrieval pipelines, evaluation harnesses, and the engineering discipline that takes a model from demo to dependable deployment.
Attacking and defending AI systems: adversarial ML, prompt injection, model supply-chain integrity, and AI used inside security operations.
Privacy-preserving learning and the machinery of accountability: differential privacy, federated systems, synthetic data, unlearning, and auditable decisions.
Rules, rights and liability: ethical frameworks, human-rights impacts, bias quantification, and regulatory statutes such as the EU AI Act.
Keeping the record honest: forensic detection of synthetic figures and text, paper-mill disruption, provenance standards, and authorship in human-AI co-creation.
The cost side of intelligence and the good it can do: energy-efficient training, carbon accounting, and AI applied to climate, grid and agri-food systems.
Intelligence applied to living systems: protein and molecule design, lab automation, biosecurity safeguards, and clinical decision support.
Feedback shared with the organising team after ICAHR 2026 and SVRIAS 2026 — keynotes, committee members, presenters and authors.
The verification framework we discussed is what African researchers have been missing. Sharp questions from the room, and a session that ran exactly to time.
Reviews were disciplined: clear criteria, real comments, and decisions that respected the authors' time. That is rare at this scale.
I presented from Kuala Lumpur without leaving my office. The room was live, the questions were real, and nothing needed installing.
The clinical AI work landed with an audience that actually understood it. The questions after my session were the best part of the day.
Abstract to decision took days, not months. The decision letter told me exactly what to strengthen before I presented.
I checked the conference before I paid. Seeing the verification result in front of me changed how I choose where to submit.
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