Conference Information

UEMCON 2026: IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference

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UEMCON
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Submission Date:
2026-08-09
Notification Date:
2026-08-26
Conference Date:
2026-10-07
Location:
New York City, USA
Years:
Viewed: 23871   Tracked: 5   Attend: 0

Conference Partner Index (CP-I)

54.5 / 100
Ranked #877 of 5,682 conferences · Top 16%

#30 of 509 in Electrical & Electronic Engineering #41 of 154 in Human-Computer Interaction #115 of 864 in Networks & Communications

Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
78
Community attention (10%)
32
Public record completeness (15%)
55

Inputs used: Editions on record: 17 · Researchers following it here: 5 · Researchers who opened this page in the past 24 months: 6

Missing from the public record: Historical acceptance rates (+4.5) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-15

Call For Papers

UEMCON 2026 (IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference) is an academic conference held in New York City, USA on 2026-10-07. The paper submission deadline is 2026-08-09. Acceptance notifications are sent on 2026-08-26.

Topics and technical areas of interest include but are not limited to the following: Part I: Artificial Intelligence & ML 1. Core AI Algorithms & Deep Learning Foundations Algorithmic Frameworks: Applied Machine Learning, fundamental AI algorithms, and optimization modeling. Neural Architectures: Deep AI Learning, neural networks, and embedded neural networks for real-time analytics. 2. Next-Gen Foundation Models & Multimodal AI Advanced Modeling: Next-gen foundation models and multimodal AI architectures, Natural Language & Interaction. Next-generation AI paradigms and emerging intelligent technologies. 3. Edge AI & Distributed Intelligence Decentralized Learning: Federated learning in ubiquitous networks. Behavioral AI: AI for human behavior prediction, context-aware adaptation, and real-time analytics. Distributed Systems: Intelligent edge nodes and distributed learning architectures. 4. Applied AI, Governance, and Responsible Deployment (Integrated Track) Healthcare & Life Sciences: AI in Biomedicine, clinical healthcare systems, and Bioinformatics. Physical & Environmental Sciences: AI for photonics/optical computing, and AI in Climate Change mitigation. Socio-Educational Systems: Smart scheduling/optimization, and AI in Education. Safety & Alignment: AI alignment, safety protocols, and model interpretability. Part II: Advanced Computing, IoT, & Systems 1. IoT Architecture, Protocols, & Security System : IoT System Architecture, IoT enabling technologies, and basic IoT Architectures & Protocols. Networking & Transport: IoT Protocols and Transports. System Integrity: Hardware-level and network-level Security for IoT. 2. Ubiquitous & Pervasive Computing Ambient Environments: Ubiquitous and Pervasive Computing Systems, context-aware systems. Infrastructure: Middleware for pervasive systems and ubiquitous sensor networks. 3. Embedded Systems & Edge Infrastructure Hardware Engineering: Real-time embedded systems in daily life and software engineering for IoT/IoE (Internet of Everything). Edge Computing: Edge computing frameworks for latency-sensitive applications. Hardware Efficiency: Ultra-low power electronics for always-on, constrained devices. 4. Energy-Aware & Sustainable Computing Green Hardware: Energy harvesting for ubiquitous devices and sustainable materials in consumer electronics. Green Infrastructure: Green cloud and fog computing for mobile ecosystems. Efficient Networking: Low-power wireless communication protocols. 5. Next-Gen Infrastructure, Consumer Devices & UX Enterprise Systems: Cloud Computing and Data Center Systems. Smart Spaces: IoT-based smart homes/cities and cross-device orchestration. Human-Computer Interaction (HCI): Next-Gen consumer devices, ambient displays, seamless interfaces, context-aware UX/UI design, and AR integration.
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