BRAINCON 2026

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

Venue: Singapore (Collaborator)

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

20-22 March 2026 | Hosted by: G H Raisoni College of Engineering & Management, Pune, India

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Key Deadlines

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Call for Paper Begins: 15/09/2025
Last Date for Paper Submission: 15/12/2025
1st Extension: Till 15/12/2025
Author Notification: 20/01/2026
Early Bird Registration: 20/01/2026 - 26/01/2026
Camera Ready Copy and Copyright Submission: 26/01/2026
Conference Dates: 20-22 March 2026

About BRAINCON 2026

BRAINCON 2026, the flagship international conference of Bharat Research in AI and NextGen (BRAIN), will be held from 20–22 March 2026 at G H Raisoni College of Engineering & Management, Pune (NAAC A+ Accredited, Empowered Autonomous Institute), in collaboration with S P Jain School of Global Management, Singapore.

Themed “Frugal, Sovereign, Societal Scale AI and Agentic AI”, BRAINCON 2026 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 2026 edition promises keynote sessions, technical paper presentations, workshops, demonstrations, and hackathons, fostering meaningful discussions and collaborations that will define the AI of tomorrow.

About the Organisers & Collaborators

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.

About G H Raisoni College of Engineering and Management

G H Raisoni College of Engineering and Management (GHRCEM), Pune imparting quality education of global standards. GHRCEM has a beautiful campus located on Pune- Ahmednagar Road, 16 Kms. from Pune Railway Station and 12 Kms. away from Pune airport. The college is an Autonomous Institute affiliated to Savitribai Phule Pune University (SPPU) and approved by AICTE. It is running seven UG and three PG courses in Computer, E&TC, and Mechanical Engineering. The college is accredited by NAAC and also having SPPU approved as well as Autonomous Ph.D. programs in E&TC and Mechanical Engineering Department. The primary objective of the Institute is to groom the students to become a future leader in Engineering & Management capable of facing the challenges of the industry and the advanced technology. The institute offers innovative teaching-learning methodology, state of art laboratories, resources and corporate development plans for students, so that they become competent Engineering & Management professionals ready to deliver their services to industry & society in general. GHRCEM, Pune published approx. 27 patents, 58 copyrights and many high quality papers.

About S P Jain School of Global Management, Singapore

S P Jain School of Global Management, an Australian business school with campuses in key global hubs, including Singapore, is renowned for its multi-city learning model. Established in Dubai in 2004 and expanding to Singapore in 2006, the school aims to cultivate globally adept leaders through immersive, multi-country education. The distinctive approach allows students in programs like the Global MBA and Master of Global Business to study across multiple campuses, gaining firsthand exposure to different cultures and business environments. The Singapore campus, situated on historic Hyderabad Road in a heritage building, provides a modern, verdant learning space with tech-equipped classrooms and on-campus accommodation.

The institution has consistently earned high rankings from international publications such as Forbes, Bloomberg Businessweek, and Times Higher Education—Wall Street Journal for its graduate programs. The school's vision is to "transform lives through the power of education" by equipping students with essential skills for the modern business world. Beyond the multi-city experience, students benefit from a diverse, international peer group and a strong alumni network that spans dozens of countries. The curriculum is enhanced by experienced, multinational faculty and practical learning experiences like live corporate projects and business simulations, all aimed at developing corporate-ready graduates. These elements, combined with robust career services, contribute to high placement rates for graduates in companies around the world.

Conference Tracks

BRAINCON 2026 welcomes submissions in the following areas (but not limited to). We also encourage submissions to our Special Sessions.

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

This Special Session focuses on application-oriented research using Quantum-Enhanced Reinforcement and Agentic Learning, Variational Quantum Eigensolver (VQE), Quantum Approximate Optimization Algorithm (QAOA), and Frugal Quantum Machine Learning (QML) to address societal-scale, real-world challenges. The session aims to accelerate innovation at the intersection of quantum technologies, agentic AI, and frugal computational frameworks suitable for scalable deployment.

Key Application Themes of Special Session 1

1. Energy and Infrastructure Systems
• Quantum-enhanced optimization for smart grids, forecasting, and energy dispatch
• QAOA/VQE for optimal resource allocation and real-time load balancing
• Frugal hybrid AI for sustainable energy analytics and failure prediction

2. Healthcare and Life Sciences
• Quantum feature selection and model optimization for drug discovery
• Quantum-reinforced adaptive treatment and diagnostics
• Quantum-classical fusion for multi-omics, genomics, and medical imaging

3. Smart Mobility and Intelligent Transportation
• Quantum optimization for routing, fleet coordination, and autonomous mobility
• Agentic learning for self-optimizing transport networks
• Hybrid QRL for sustainable urban mobility and multimodal planning

4. Quantum Communication and Secure AI Infrastructures
• QKD and entanglement-assisted secure AI workflows
• Sovereign agentic AI with quantum communication backbones
• Quantum-enhanced threat modelling and policy frameworks

5. Manufacturing, Finance, and Industry 4.0
• Quantum reinforcement learning for adaptive process control
• QAOA/annealing for resource optimization and industrial scheduling
• Frugal hybrid QML for quality assurance and cost-efficient automation

6. Climate, Sustainability, and Societal Systems
• Quantum-assisted modelling of environmental systems
• Agentic learning for sustainable agriculture, cities, and water systems
• Quantum optimization for policy design and global resource distribution

This Special Session emphasizes quantum-enabled and quantum-inspired machine learning (QML) as a powerful pathway toward building frugal, sovereign, scalable, and agentic AI systems. With NISQ-era advancements, hybrid quantum-classical workflows open new possibilities in optimization, learning efficiency, and autonomous decision making.

Key Application Themes of Special Session 2

1. Quantum-Inspired Optimization for AI Systems
• VQE, QAOA, and quantum-inspired tuners for ML models
• Energy-efficient hybrid quantum–classical learning frameworks
• Quantum annealing for large-scale combinatorial optimization in AI

2. Quantum-Enabled Applications for Societal-Scale and Sustainable Systems
Including but not limited to:
• Energy Systems: smart grids, carbon-neutral optimization, predictive maintenance
• Smart Mobility: traffic routing, fleet control, autonomous networks
• Healthcare/Bioinformatics: molecular modelling, disease prediction, QML feature extraction
• Climate & Environment: carbon reduction modelling, sustainability analytics
• Cybersecurity: quantum-secure federated learning, privacy-preservation
• Manufacturing/Industry 4.0: predictive process control using Quantum RL
• Finance/Policy: fraud analytics, decentralized portfolio optimization
• Cognitive & Social Systems: agentic reasoning for governance and education

3. Frugal Quantum Machine Learning
• Lightweight quantum classifiers and regression models
• Resource-efficient PQC architectures for NISQ devices
• Quantum model compression and cost-aware training

4. Quantum-Enhanced Reinforcement and Agentic Learning
• QRL for intelligent autonomous systems
• Agentic AI with quantum-enabled decision loops
• Multi-agent quantum-coordinated learning and optimization

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