BRAINCON 2027 [22–24 January 2027 at Hoa Sen University, Vietnam.]

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 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.

BRAINCON Publication Opportunities 

Springer is a globally recognized academic publishing brand under Springer Nature, specializing in publishing high-quality scientific, technical, and medical research. Founded in 1842, Springer publishes a wide range of peer-reviewed journals, books, conference proceedings, and e-books that support researchers, academics, and professionals worldwide.

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 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

Submission Guidelines

Authors are invited to submit original, unpublished research papers presenting novel contributions. Submissions should not be under consideration in any other conference or journal.

All accepted papers will be included in the conference proceedings and selected high-quality papers may be recommended for publication in indexed journals. Papers must follow the prescribed format.

Guidelines for Paper Submission

Contributors are requested to follow the guidelines given below:

• Authors are invited to submit original, unpublished research papers presenting novel contributions.
• Submissions should not be under consideration in any other conference or journal.
• All accepted papers will be included in the Springer Book and selected high-quality papers may be recommended for publication in indexed journals.
• Papers must follow the prescribed format ( Springer Paper Template for Windows and Mac ).

Please go through the self-checklist below before submitting your paper: Self-Checklist for Authors (PDF)

Review Process

• All submitted papers will be judged based on their quality and relevance through double-blind review process, where the identities of the authors are withheld from the reviewers.
• As an author, you are required to preserve the anonymity of your submission, while at the same time allowing the reader to fully grasp the context of related past work, including your own. Common sense and careful writing will go a long way towards preserving anonymity.
• Papers that do not conform to our double-blind submission policy will be rejected without review.

Paper Submission Process

• Prospective authors are invited to submit manuscripts reporting original unpublished research and recent developments in the topics related to BRAINCON.
• All the authors are required to have / create the account in Microsoft Conference management toolkit (Microsoft CMT) portal.
• Papers should also be uploaded and submitted through the PaperNest portal.

Submit Your Paper via CMT Submit Your Paper via PaperNest

• All papers that conform to submission guidelines will be peer reviewed and evaluated based on originality, technical and/or research content/depth, correctness, relevance to conference, contributions, and readability.
• The manuscripts should be submitted in PDF format. Acceptance of papers will be communicated to authors by email.

Before uploading your paper, please follow the self-checklist for authors: Self-Checklist for Authors (PDF)