# ICIMPACT — International Conference on Intelligent Multimedia, Physical-AI, and Cyber-Technologies

- **Submission deadline**: 2026-10-01
- **Notification date**: 2026-12-01
- **Conference date**: 2027-02-03
- **Location**: Bandung, Indonesia
- **Trackers**: 0
- **Attendees**: 0
- **Canonical page**: https://www.myhuiban.com/conference/5803

## Call for papers

Conference Tracks ICIMPACT welcomes original research contributions in the following tracks (but not limited to): Track 1 — Multimodal, Generative & Immersive Media Intelligence Scope: AI methods and systems for understanding, retrieving, recommending, generating, and experiencing multimedia—covering both content intelligence and immersive/XR pipelines. Focus areas: Multimodal AI (vision–language–audio) for media understanding Generative media (image/video/audio): controllable generation, editing, alignment Video understanding, captioning, summarization, event/action recognition Multimedia retrieval & semantic search (cross-modal indexing, ranking, evaluation) Recommender systems for media/content (personalization, fairness, accountability) 3D media intelligence: tracking, reconstruction, scene understanding Immersive media applications (AR/VR/MR), digital humans/avatars, motion intelligence Multimodal interaction (voice/gesture/gaze) for immersive experiences Real-time pipelines & QoE (latency, streaming, edge inference, efficiency) Benchmarks, datasets, and evaluation protocols for media AI Track 2 — Biomedical Multimedia Intelligence & Digital Health Systems Scope: AI for biomedical media (medical imaging/video, biosignals, and clinical text) and digital health systems, aligned with Physical-AI (sensing, edge, XR) and cyber-technologies (privacy, security, auditability, provenance). Focus areas: Biomedical imaging & video AI: X-ray/CT/MRI/ultrasound, endoscopy, dermoscopy, WSI (classification, detection, segmentation, grading, prognosis) Multimodal clinical learning: fusion of imaging + biosignals (ECG/PPG/EEG) + clinical text Generative AI for medical media: denoising, super-resolution, reconstruction, modality translation, controlled augmentation Physical-AI for healthcare: wearables/medical IoT, on-device/edge inference, real-time monitoring pipelines Clinical XR/AR and immersive health: training/simulation, guidance, rehabilitation/therapy systems Trustworthy deployment: robustness/domain shift, calibration/uncertainty, bias/fairness, clinician-in-the-loop evaluation Explainable AI (XAI) for clinical media: interpretable evidence, usability-oriented explanations Cyber-tech for health media: de-identification, consent/access control, audit logs, provenance/watermarking, integrity verification System integration: clinical decision support, telemedicine workflows, reliability and latency constraints Track 3 — Digital Business Platforms, Governance & Responsible AI Scope: Engineering and governance of digital platforms and AI products, focusing on lifecycle control, accountability, and compliance-by-design. Focus areas: Digital platform engineering (marketplaces, super-apps, fintech platforms) Data governance for AI products (lineage, quality, access, policy) AI governance & model risk management (monitoring, drift, auditability) Trust & safety systems (moderation, recommender accountability, safety KPIs) MLOps/LLMOps governance (deployment control, logging, incident playbooks) RegTech / compliance-by-design in digital systems Digital identity, access management, and consent for platforms Responsible AI: fairness, transparency, accountability, human oversight Track 4 — Cyber-Technologies for Trustworthy AI & Secure Digital Media Scope: Security, authenticity, and resilience for AI-enabled systems and digital media—protecting models, data, and pipelines against attacks and misuse. Focus areas: Deepfake detection & media forensics Provenance, watermarking, authenticity verification Adversarial ML: evasion/poisoning defenses, model theft protection Privacy-preserving analytics for users/media (e.g., federated learning where relevant) Secure pipelines: integrity, secure storage/streaming, tamper-evident audit logs Threat/anomaly detection in digital platforms and AI systems Security governance for AI-enabled systems (controls, risk management, incident response)

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## Related journals

- Physical Communication — https://www.myhuiban.com/journal/420
- Artificial Intelligence — https://www.myhuiban.com/journal/166
- IEEE Transactions on Multimedia — https://www.myhuiban.com/journal/152
- Knowledge-Based Systems — https://www.myhuiban.com/journal/227
- Software & Systems Modeling — https://www.myhuiban.com/journal/99

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Source: Conference Partner — https://www.myhuiban.com/conference/5803 (rankings reproduced from CCF / ICORE / QUALIS; data cached up to 1 hour)