Hybrid Conferencee

International Conference on AI-Powered Computing Systems (ICAIPCS - 26)

7th - 8th November 2026 | Nairobi, Kenya

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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Nairobi. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Nairobi event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Nairobi conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Nairobi, 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 Nairobi."
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 4
SDG 4 Quality Education
SDG 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
Track 01

Advancements in Machine Learning Algorithms

This track focuses on the latest developments in machine learning algorithms and their applications in engineering. Researchers are encouraged to present innovative approaches that enhance predictive capabilities and automation in various domains.

Track 02

Deep Learning Architectures for Intelligent Systems

This session will explore novel deep learning architectures that drive the evolution of intelligent systems. Contributions should highlight practical implementations and performance evaluations across diverse engineering challenges.

Track 03

Cognitive Computing and Human-Machine Interaction

This track investigates the intersection of cognitive computing and human-machine interaction, emphasizing user-centric design and usability. Papers should address how cognitive systems can enhance decision-making processes in engineering applications.

Track 04

Robotics and Automation in Engineering

This session aims to showcase advancements in robotics and automation technologies that improve efficiency in engineering workflows. Submissions should detail case studies and innovative solutions that leverage AI for enhanced operational performance.

Track 05

Predictive Analytics for Engineering Solutions

This track will delve into the role of predictive analytics in developing effective engineering solutions. Researchers are invited to present methodologies that harness big data for forecasting and optimizing engineering processes.

Track 06

IoT Integration in Smart Engineering Systems

This session focuses on the integration of Internet of Things (IoT) technologies in engineering systems to create smarter solutions. Contributions should discuss the challenges and benefits of IoT implementation in various engineering contexts.

Track 07

Cloud Computing for High-Performance Engineering

This track explores the impact of cloud computing on high-performance engineering applications. Papers should examine how cloud technologies can enhance computational capabilities and facilitate collaborative engineering efforts.

Track 08

Big Data Analytics in Engineering Applications

This session will highlight the significance of big data analytics in addressing complex engineering problems. Researchers are encouraged to present innovative techniques that leverage large datasets for insightful engineering solutions.

Track 09

Embedded Intelligence in Engineering Systems

This track focuses on the integration of embedded intelligence in engineering systems to enhance functionality and performance. Submissions should explore the design and implementation of intelligent components in various engineering applications.

Track 10

Workflow Optimization through AI Technologies

This session aims to discuss strategies for workflow optimization using AI technologies in engineering environments. Contributions should highlight successful case studies and methodologies that demonstrate efficiency improvements.

Track 11

Future Trends in AI-Powered Computing Systems

This track will examine emerging trends and future directions in AI-powered computing systems within the engineering domain. Researchers are invited to speculate on the potential impact of these trends on engineering practices and innovations.