# BDCC — EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing

- **Submission deadline**: 2026-09-30
- **Notification date**: 2026-10-20
- **Conference date**: 2026-12-03
- **Location**: Coimbatore, India
- **Conference Partner Index**: 50.4/100 (ranked #1510, confidence 0.45, algorithm 1.1) — how this is computed: https://www.myhuiban.com/ranking
- **Trackers**: 2
- **Attendees**: 0
- **Canonical page**: https://www.myhuiban.com/conference/2803

## Past editions

| Year | Deadline | Conference date | Location |
|---|---|---|---|
| 2020 | 2020-07-10 | 2020-12-18 | Coimbatore, India |

## Call for papers

Scope The 9th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2026) continues the mission of advancing intelligent, scalable, and sustainable data-driven technologies for the next era of cognitive computing. Building upon previous editions, BDCC 2026 emphasizes trustworthy AI, ultra-efficient big data systems, and human-aligned cognitive intelligence to address global sustainability challenges. The conference explores next-generation big data analytics, adaptive cognitive architectures, and sustainable AI ecosystems, focusing on their transformative impact across smart societies, industry, healthcare, climate systems, and emerging digital infrastructures. Special attention is given to resilient, low-energy, and ethical AI solutions capable of operating on a scale in complex, real-world environments. BDCC 2026 serves as a premier interdisciplinary forum bringing together researchers, engineers, industry leaders, and policymakers to exchange ideas, present original research, and discuss future directions for responsible digital transformation. Contributions spanning theoretical foundations, applied innovations, experimental systems, and real-world deployments are strongly encouraged. Topics Quantum-inspired and hybrid quantum algorithms Neuromorphic and brain-inspired computing for energy-efficient big data processing Federated, decentralized, and self-learning cognitive systems Explainable, trustworthy, and ethical AI for big data decision-making Green AI models for reducing energy consumption and carbon emissions Energy-aware big data architectures and low-power AI accelerators Next-generation big data compression and adaptive model optimization Cognitive digital twins for smart cities, smart grids, and industrial sustainability Edge-AI and real-time analytics for traffic optimization and pollution reduction AI-driven predictive maintenance and resource optimization AI-powered early warning systems for climate and disaster resilience Big data analytics for environmental monitoring and climate modeling Sustainable water, energy, and waste management using cognitive intelligence Green blockchain technologies for secure and sustainable big data processing Human-centric AI for transparent and inclusive decision-making AI-driven drug discovery and personalized healthcare systems Cognitive IoT for smart healthcare and remote monitoring AI-powered big data analytics for space exploration and planetary sustainability Future Advancements

## Related conferences

- BDCC' — International Conference on Big Data and Cloud Computing — https://www.myhuiban.com/conference/3808
- Big Data — International Conference on Big Data — https://www.myhuiban.com/conference/1315
- EAI WiCON — EAI International Conference on Wireless Internet — https://www.myhuiban.com/conference/105
- DATA'' — International Conference on Digital Age & Technological Advances for Sustainable Development — https://www.myhuiban.com/conference/4518
- EAI SecureComm — EAI International Conference on Security and Privacy in Communication Networks — https://www.myhuiban.com/conference/368

## Related journals

- Cognitive Processing — https://www.myhuiban.com/journal/460
- Sustainable Computing — https://www.myhuiban.com/journal/414
- Cognitive Systems Research — https://www.myhuiban.com/journal/353
- Sustainable Computing: Informatics and Systems — https://www.myhuiban.com/journal/892
- Journal of Big Data — https://www.myhuiban.com/journal/428

---
Source: Conference Partner — https://www.myhuiban.com/conference/2803 (rankings reproduced from CCF / ICORE / QUALIS; data cached up to 1 hour)