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ICIMPACT 2027: International Conference on Intelligent Multimedia, Physical-AI, and Cyber-Technologies

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ICIMPACT
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投稿締切日:
2026-10-01 残り 34 日
通知日:
2026-12-01
開催日:
2027-02-03
開催地:
Bandung, Indonesia
閲覧: 601   フォロー: 0   参加: 0

論文募集

ICIMPACT 2027 (International Conference on Intelligent Multimedia, Physical-AI, and Cyber-Technologies) is an academic conference held in Bandung, Indonesia on 2027-02-03. The paper submission deadline is 2026-10-01. Acceptance notifications are sent on 2026-12-01.

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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Physical Communication2.2Elsevier1874-4907
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AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203

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