Hybrid Conferencee

International Conference on Artificial Intelligence for Industries (ICAIFI - 27)

4th - 5th January 2027 | Kathmandu, Nepal
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Expand the Academic Reach of Your Research - a Q1-ranked and Scopus-indexed journal publication opportunity

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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 Kathmandu. 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 Kathmandu 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 Kathmandu conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Kathmandu, 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 Kathmandu."
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

Semantic Technologies in Industrial Applications

This track focuses on the implementation of semantic technologies to enhance knowledge representation in various industrial contexts. Participants will explore innovative approaches to improve decision-making processes through semantic data integration.

Track 02

Cognitive Computing for Enhanced Operations

This session will delve into the role of cognitive computing in optimizing industrial operations. Discussions will center on how AI can emulate human thought processes to solve complex operational challenges.

Track 03

Innovative AI-Driven Manufacturing Processes

This track examines the transformative impact of artificial intelligence on manufacturing processes. Presentations will highlight case studies showcasing AI's ability to enhance efficiency and reduce waste in production.

Track 04

Immersive Technologies for E-Commerce Solutions

Focusing on immersive environments, this session will explore how virtual and augmented reality can revolutionize e-commerce. Attendees will discuss the integration of AI to create engaging customer experiences.

Track 05

Multimodal Interaction in Smart Industries

This track investigates the use of multimodal interaction systems in industrial settings. Participants will analyze how combining various input methods can improve human-agent collaboration and operational efficiency.

Track 06

Human-Agent Interaction in Industrial Contexts

This session will explore the dynamics of human-agent interaction within industrial applications. The focus will be on developing AI systems that effectively collaborate with human workers to enhance productivity.

Track 07

Business Knowledge Representation in AI Systems

This track addresses the challenges of representing business knowledge in AI frameworks. Participants will discuss methodologies for effective domain-specific problem-solving using AI technologies.

Track 08

Machine Learning Techniques for Industrial Applications

This session will cover advanced machine learning techniques tailored for industrial applications. Presentations will focus on real-world implementations and the benefits of deep learning in various sectors.

Track 09

Behavior and Activity Generation in Smart Systems

This track focuses on generating predictive models of behavior and activity in intelligent systems. Discussions will include applications in automation and monitoring within industrial environments.

Track 10

Data Generation and Validation in AI Systems

This session will explore methodologies for data generation and validation in the context of AI applications. Participants will discuss best practices for ensuring data quality and integrity in industrial settings.

Track 11

Dialogue Modeling and Generation for Industry Applications

This track investigates the development of dialogue systems tailored for industrial applications. The focus will be on creating effective communication channels between AI systems and human operators to facilitate seamless interactions.