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BRAINCON 2027

Flagship International Conference of Bharat Research in AI and NextGen Foundation (BRAIN)

Nguyen Tat Thanh University (NTTU), Ho Chi Minh City, Vietnam

Theme: Frugal, Sovereign, Societal Scale AI and Agentic AI

22-24 January 2027

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SatyaBodhi Springer Nguyen Tat Thanh University (NTTU)

Distinguished Voices

Eminent Speakers

Dr. Joaquin Jay Gonzalez

Dr. Joaquin "Jay" Gonzalez

Distinguished Speaker

Research leader in AI, digital transformation, and applied innovation with strong contributions to responsible technology and academic collaboration.

Dr. Hemanta Doloi

Dr. Hemanta Doloi

Distinguished Speaker

Academic and research expert contributing to emerging AI, sustainability, and interdisciplinary technology applications.

Dr. Hannah Haemer

Dr. Hannah Haemer

Distinguished Speaker

Thought leader in AI-enabled learning, responsible innovation, and next-generation research ecosystems.

Dr. Lipika Dey

Dr. Lipika Dey

Professor of Computer Science, Ashoka University

AI researcher specializing in NLP, data analytics, healthcare systems, and sustainability-driven intelligent solutions.

Juergen Seitz

Juergen Seitz

Head of Business Information Systems Department

International academic leader in business information systems, digital transformation, and technology-enabled governance.

Dr. Satyam Priyadarshy

Dr. Satyam Priyadarshy

Distinguished Speaker

Technology strategist and innovation leader recognized for advancing AI, enterprise transformation, and research-driven impact.

Dr. Himadri Nath Saha

Dr. Himadri Nath Saha

Distinguished Speaker

Academic and research leader contributing to data science, applied AI, and cross-disciplinary innovation for societal impact.

Key Deadlines

Conference starts in:

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  • Call for Paper Begins: 15/05/2026
  • Last Date for Paper Submission: 30/08/2026   15/09/2026
  • 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 Nguyen Tat Thanh University (NTTU), 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.

AI Conference Concept

About Nguyen Tat Thanh University

Nguyen Tat Thanh University (NTTU) is the partner for BRAINCON 2027. NTTU is a modern university focused on applied education, international collaboration, and research-driven teaching.

Nguyen Tat Thanh University is an innovative university that creates a positive learning environment and practical experiences. NTTU supports self-learning, entrepreneurship, community responsibility, and regional and global integration.

NTTU has more than 34,000 students, trainees, and PhD candidates across 20 faculties, with 81 undergraduate, 13 master's, and 4 doctoral programs. Its 19 spearhead fields include health sciences, engineering, computer science and information technology, business, law, life sciences, architecture, tourism, environmental protection, education, natural sciences, and mathematics and statistics.

For full details about the university, programs, and campus facilities, visit https://ntt.edu.vn/.

We thank NTTU for hosting the conference and supporting our objective to bring together researchers, practitioners, and policy-makers for discussions on frugal, sovereign, and human-centered AI.

NTTU Welcome

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 Today

BRAINCON Publication Opportunities

Springer

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.

Studies in Computational Intelligence

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.

Lecture Notes in Networks and Systems

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.

SN Computer Science Journal

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)

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
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