Hybrid Conferencee

International Conference on Edge Computing and Intelligent Systems (ICECIS - 26)

16th - 17th September 2026 | Reading, UK

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Call for Papers Extended:
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Certificate of Presentation:
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Abstract Submissions Open:
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Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Reading conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Reading, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Reading."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 11
SDG 11 Sustainable Cities and Communities
Track 01

Advancements in Edge Computing Architectures

This track focuses on the latest architectural innovations in edge computing, emphasizing their role in enhancing system performance. Participants will explore various design paradigms that facilitate efficient data processing at the edge.

Track 02

Intelligent Systems for IoT Applications

This session will delve into the integration of intelligent systems within IoT frameworks, highlighting their impact on automation and decision-making. Researchers are encouraged to present novel approaches that leverage AI to optimize IoT functionalities.

Track 03

Real-Time Data Processing Techniques

This track addresses the challenges and solutions associated with real-time data processing in edge environments. Contributions will focus on algorithms and methodologies that ensure timely data analysis and response.

Track 04

Distributed Computing Paradigms

This session explores the evolution of distributed computing models that enhance collaboration between cloud and edge systems. Papers will discuss scalability, reliability, and efficiency in distributed architectures.

Track 05

Smart Devices and Edge Intelligence

This track examines the role of smart devices in edge computing ecosystems, particularly their capabilities for local data processing. Contributions should highlight innovative applications and the integration of edge intelligence in consumer electronics.

Track 06

Data Analytics in Edge Computing

This session will focus on advanced data analytics techniques tailored for edge computing environments. Researchers are invited to present methodologies that enable effective data interpretation and actionable insights at the edge.

Track 07

AI Integration in Edge Systems

This track investigates the integration of artificial intelligence within edge computing frameworks, emphasizing its potential to enhance system capabilities. Papers should address practical implementations and the benefits of AI in edge scenarios.

Track 08

Embedded Systems for Low-Latency Applications

This session will explore the design and implementation of embedded systems that cater to low-latency requirements in edge computing. Contributions should focus on hardware and software solutions that minimize response times.

Track 09

Networking Solutions for Edge Computing

This track addresses the networking challenges specific to edge computing, including connectivity and data transfer efficiency. Participants will discuss innovative protocols and architectures that enhance communication in edge environments.

Track 10

Cloud-Edge Collaboration Strategies

This session focuses on strategies for effective collaboration between cloud and edge computing resources. Papers should explore hybrid models that leverage the strengths of both environments for optimal performance.

Track 11

Predictive Systems Engineering in Edge Computing

This track examines the application of predictive analytics in engineering solutions for edge computing. Contributions should highlight methodologies that enable proactive decision-making and system optimization.