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BRAINCON 2027
Flagship International Conference of Bharat Research in AI and NextGen Foundation (BRAIN)
Venue: Hoa Sen University, Ho Chi Minh City, Vietnam
Theme: Frugal, Sovereign, Societal Scale AI and Agentic AI
22-24 January 2027
Key Deadlines
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- Call for Paper Begins: 15/05/2026
- Last Date for Paper Submission: 30/08/2026
- Author Notification: 25/10/2026
- Early Bird Registration: 26/10/2026 - 30/10/2026
- Camera Ready Copy and Copyright Submission: 30/10/2026
- Conference Dates: 22-24 January 2027
About BRAINCON 2027
BRAINCON 2027, the flagship international conference of Bharat Research in AI and NextGen Foundation (BRAIN), will be held from 22–24 January 2027 at Hoa Sen University, Ho Chi Minh City, Vietnam.
Themed “Frugal, Sovereign, Societal Scale AI and Agentic AI”, BRAINCON 2027 aims to spotlight the dual imperatives of the next AI revolution—building autonomous, intelligent, and collaborative agentic systems while ensuring resource-efficient, accessible, and sustainable AI innovation. This unique blend recognizes that the future of AI lies not only in autonomy and reasoning, but also in frugality, inclusivity, and democratization of technology.
BRAINCON has established itself as a premier global platform bringing together academia, industry, government, and professional bodies to exchange ideas, showcase cutting-edge research, and shape the responsible evolution of AI. The 2027 edition promises keynote sessions, technical paper presentations, workshops, demonstrations, and hackathons, fostering meaningful discussions and collaborations that will define the AI of tomorrow.
About Hoa Sen University (Our Venue Partner)
Entering our 35th anniversary (1991 – 2026), Hoa Sen University (HSU) reaffirms our vision for the future. Beyond educating high-quality human resources, we strive to develop a modern university model with a distinctive identity and strong capacity for continuous innovation in the rapidly evolving global higher education landscape. Our approach follows a three-level strategic framework that integrates the educational philosophy, university model, and governance and operational structure.
Within this framework, the “Human-centric • Self-directed • Utility-oriented” philosophy forms the foundation, centering people, empowering learners, and guiding knowledge toward practical value. Guided by this philosophy, HSU aims to build a liberal, applied, innovative, and smart university model, with a synchronized governance system that translates these principles into experiential learning for students’ career development.
About the Organiser
About BRAIN
Bharat Research in AI and NextGen (BRAIN) is a pioneering foundation dedicated to advancing Artificial General Intelligence (AGI) with a strong commitment to ethics, safety, and cultural alignment. Guided by the vision of creating equal opportunities for all, BRAIN strives to ensure that AI-driven solutions are inclusive, accessible, and impactful across communities. With a focus on research excellence, responsible innovation, societal transformation, and ecosystem building, BRAIN bridges cutting-edge AI research with real-world applications in healthcare, education, agriculture, sustainability, and governance. Positioned as a global hub for responsible AI, BRAIN brings together academia, industry, government, and civil society to shape an AI-powered future that is innovative, equitable, and sustainable.
💡 Become a BRAIN Member & Save on Registration
Join the BRAIN community to access exclusive member rates for BRAINCON 2027 — save up to ₹4,000 on your conference registration, plus enjoy year-round benefits including networking, research collaborations, and member-only events.
Join BRAIN TodayBRAINCON Publication Opportunities
The series "Studies in Computational Intelligence" (SCI) publishes new developments and advances in the various areas of computational intelligence—quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life sciences, as well as the methodologies behind them. The book is fully indexed in Scopus and SCImago.
Conference Proceedings is published in the Springer "Lecture Notes in Networks and Systems (LNNS)" Series. The series focuses on the rapid dissemination of original research, theory, and practical applications in engineering and computer sciences. The vast majority of its volumes consist of peer-reviewed proceedings and post-proceedings from international scientific conferences. The series is fully indexed in Scopus and SCImago.
Topical Issue volumes in SN Computer Science Journal (Q1/Q2 Indexed), Themed "Frugal, Sovereign, and Human-Centered AI." SN Computer Science is a broad-based, hybrid, peer reviewed journal that publishes original research in all the disciplines of computer science including various inter-disciplinary aspects.
Transactions in AI and NextGen (TRAIN) aims to be a leading international platform for cutting-edge research, visionary ideas, and transformative innovations in Artificial Intelligence and Next-Generation. The journal fosters interdisciplinary scholarship that advances both theoretical understanding and real-world applications of emergent AI, bridging academic research, industrial advancements, and societal impact.
Conference Tracks
BRAINCON 2027 welcomes submissions in the following areas (but not limited to).
- Data-Efficient Learning (Few-shot, Zero-shot, Self-supervised Learning)
- Model Optimization (Compression, Pruning, Quantization, Knowledge Distillation)
- Efficient Model Architectures and Algorithms
- Synthetic Data Generation and Augmentation
- AI for Low-Resource Scenarios
- National and Regional AI Strategies
- Data Governance, Localization, and Privacy-Preserving Machine Learning (PPML)
- The Role of Open Source in Strategic Autonomy
- Ethical Frameworks for National AI Deployment
- Cybersecurity for Critical AI Infrastructure
- AI in Healthcare: Low-cost diagnostics, public health AI.
- AI in Agriculture: Precision farming, supply chain optimization.
- AI for Climate & Environment: Disaster management, sustainable energy.
- AI for Public Services: Education, social safety nets, urban planning.
- NLP for Low-Resource Languages: Preserving digital and cultural heritage.
- Explainability (XAI), Interpretability, and Algorithmic Fairness
- Methods for Bias Auditing and Mitigation in Diverse Cultural Contexts
- Participatory AI and Co-design with Local Communities
- Future of Work and AI-driven Workforce Transitions
- Long-term Social and Equity Impacts of AI
- AI at the Edge (Mobile, IoT, Embedded Systems)
- Hardware for Frugal AI (Low-power accelerators, FPGAs, Neuromorphic Computing)
- Communication-Efficient and Federated Learning
- MLOps for Societal Scale Deployment and Maintenance
- Decentralized Data Architectures
- Network and Cloud Security
- AI-Powered Cybersecurity and Data Privacy
- AI and Blockchain for Secure Transactions
- AI and Quantum