For researchers
Strengthen reproducibility, authorship transparency, peer-review quality and responsible AI use.
A focused international virtual forum advancing trustworthy research, transparent AI governance, scientific reproducibility, accountability and responsible innovation.
Research now moves through AI-assisted writing, automated analysis, shared datasets and increasingly complex authorship networks. SVRIAS 2026 creates a practical forum for the people responsible for keeping that work credible.
Strengthen reproducibility, authorship transparency, peer-review quality and responsible AI use.
Discuss practical governance, policy design, data stewardship and research-quality systems.
Connect innovation with accountability, explainability, safety and public trust.
Learn how credible research is designed, reviewed, communicated and preserved.
Faculty, doctoral scholars, students, reviewers and research administrators.
AI, compliance, data, innovation, R&D and technology professionals.
Ethics, standards, institutional policy and responsible-innovation stakeholders.
Contributions may be conceptual, empirical, applied, interdisciplinary or policy-oriented. Suggested topics are indicative rather than restrictive.
These accepted ICAHCR 2026 profiles demonstrate ScholarVault's prior speaker and committee network. They are historical records only and are not presented as confirmed SVRIAS 2026 participants.
Sri Sairam Engineering College, India
Sunway University, Malaysia
Mazumdar Shaw Medical Foundation
RMK College of Engineering & Technology
Healthnomics HMO Plc, Nigeria
Life Sciences Strategy & Commercialization
MAHSA University, Malaysia
Arizona State University, USA


Submit original work aligned to one or more summit tracks. Abstract submission deadline extended to 25 October 2026 (Free intake).
Abstracts are evaluated by the designated academic review team. Typical decisions take 2–4 working days.
Accepted presenters receive session and technical instructions before the summit.
Applicable presentation or participation credentials depend on verified role and attendance records.
250–350 words: Background, Objective, Methodology, Results, and Ethical Implications. Word template available.
State generative AI usage, CRediT contribution taxonomy, and confirm original unpublished authorship.
Presenting authors may proceed to payment after acceptance. Listener and general delegate registrations may be completed directly.
| Participation Category | Domestic (INR) | International (USD) | Designed For |
|---|---|---|---|
| Student Presenter (UG / PG / PhD) | ₹2,500 | $129 | Enrolled undergraduate, postgraduate & PhD student authors (Gold: ₹2,399) |
| Academic / Faculty Presenter | ₹4,999 | $199 | University professors, postdocs, and institutional scientists (Gold: ₹4,898) |
| Co-Author Delegate | ₹2,200 | $79 | Co-authors joining presenting authors for joint paper presentation |
| Industry Professional | ₹9,999 | $397 | Enterprise AI engineers, policy advisors, and R&D directors (Gold: ₹9,898) |
| Listener Delegate Pass | ₹1,999 | $99 | Non-presenting attendees seeking research insights (Gold: ₹1,898) |
| Institutional Student Cohort (25 Papers) | ₹18,750 | $250 | Subsidized 25-paper cohort package (effective ₹750/paper) |
ScholarVault sponsors 10 competitive 100% registration fee waivers for top-ranked student-authored abstracts. Includes free virtual presentation slot, publication in SVRIAS 2026 Proceedings (ISBN: 978-81-181597-0-4), and official Grantee Certificate. Apply directly during abstract submission.
Eligible ScholarVault Gold members receive exclusive rate concessions and bundle pricing. Inquire directly through the registration desk before checkout.
INR and USD amounts are published category rates, not live conversions.
Abstract submission and peer review evaluation are 100% free of charge.
Registration is governed by published refund and participant policies.
AI literacy, academic integrity & reproducibility.
Auditable, trustworthy AI infrastructure & ML benchmarks.
Forensic disruption of paper-mill fraud & syndicates.
Multi-stakeholder academic & industry cooperation.
Theoretical novelty, regulatory foresight, and empirical rigor in algorithmic fairness or policy compliance.
Highest standard in containerized, independently verifiable code/data artifact repositories.
Breakthrough contributions detecting synthetic literature, citation rings, or image manipulation.
Recognizing exceptional methodological investigation authored primarily by a graduate or PhD scholar.
Submit an abstract, register as a delegate, or follow official conference updates through the SVRIAS 2026 website.
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