1 Major + 4 Special
1st International Conference on Artificial Intelligence in Higher Education and Emerging Sectors (AIHE 2027)
AIHE 2027 is the premier peer-reviewed technical paper-presentation conference organised alongside the prestigious AIU National Conference on Artificial Intelligence, hosted by Ganpat University in formal collaboration with the Association of Indian Universities (AIU), New Delhi.
Conceived as an archival venue at the intersection of AI, pedagogy, science, and emerging technologies, the conference is structured across two high-impact days:
Springer Technical Track Sessions
Rigorous oral paper presentations and peer-reviewed track sessions across 5 tracks — 1 major research track and 4 special tracks. Accepted high-impact papers will be submitted for inclusion in Springer CCIS / LNCS indexed conference proceedings.
- ✔ 5 Tracks: 1 Major + 4 Special Tracks
- ✔ Double-Blind Peer Review (3+ Reviewers)
- ✔ Best Research Paper & Poster Awards
AIU National Conference on AI
Plenary sessions, invited keynotes, and national policy conclaves bringing together Vice Chancellors, higher education regulators, and industry leaders to shape AI governance in Indian academia.
- ✔ Vice-Chancellors' Round Table on AI Policy
- ✔ NEP 2020 AI Implementation Roadmap
- ✔ Industry-Academia Collaborative Summit
Conference Tracks & Thematic Scope
AIHE 2027 invites original, high-quality research contributions across 5 thematic tracks —
comprising 1 major research track and 4 special tracks — spanning transformative applications of Artificial Intelligence in education, science, industry, futuristic technologies, and business:
Artificial Intelligence in Higher Education
Adaptive learning systems, generative AI assessment, NEP 2020 curriculum transformation, scientific research automation, and institutional governance analytics.
Artificial Intelligence in Agriculture & Smart Farming
Precision agriculture, UAV/drone remote sensing, foliar disease computer vision, smart irrigation telemetry, agri-robotics, and blockchain food supply chains.
Artificial Intelligence in Healthcare & Pharma
Deep learning diagnostic radiology, de novo molecular drug design, multi-omics precision therapeutics, wearable IoMT telemetry, and federated healthcare AI.
AI in Emerging & Futuristic Technologies
Quantum machine learning (QML), low-power neuromorphic edge AI, autonomous swarm robotics, cybersecurity zero-trust defense, and green sustainable computing.
Artificial Intelligence in Business
Investigating enterprise AI transformation, autonomous multi-agent systems, predictive customer intelligence, FinTech risk modeling, human resources, ethical AI governance, and ESG sustainability.
Ganpat University (Host Institution)
Ganpat University is a distinguished, NAAC 'A' Grade accredited university established in Gujarat. Spread over a high-tech 300+ acre campus in Mehsana, GUNI offers world-class research infrastructure and multidisciplinary academic excellence across computer applications, engineering, pharmacy, and management.
Association of Indian Universities (AIU)
The Association of Indian Universities (AIU), New Delhi — the apex inter-university organization of India established in 1925 — has formally approved Ganpat University's Expression of Interest to organize the National Conference on Artificial Intelligence, representing 1000+ higher education institutions nationwide.
Core Objectives of AIHE 2027
Consolidating rigorous, peer-reviewed scholarship on the adoption, governance, and pedagogy of AI in higher education.
Original Research
Consolidate original empirical, methodological, and conceptual research on AI in teaching, curriculum design, research practice, and institutional ethics.
Structured Dialogue
Bring computer science, machine learning, and education research communities into structured dialogue with academic policy makers and chancellors.
Evidence-Based Policy
Generate an evidence base to inform institutional and regulatory policy (NEP 2020, UGC, NAAC, NIRF) on AI adoption in higher education.
Global Networks
Foster active research collaborations across AIU member universities and prominent international academic institutions.
Archival Proceedings
Establish a recurring annual conference series with peer-reviewed, high-quality archival proceedings indexed in global scholarly repositories.
Double-Blind Review
Uphold highest integrity with 3 reviewers per paper, plagiarism screening (<10% similarity), and Microsoft CMT editorial workflows.
Ready to Participate in AIHE 2027?
Submissions are managed via Microsoft CMT. Explore tracks and submission guidelines.