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Hybrid Event

2nd - 3rd July 2026 | Bali, Indonesia

International Conference on Artificial Neural Networks in IT (ICANNIT - 26)

4

Days

4

Hrs

07

Min

02

Sec

Conference Program

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.

Why it matters

SDG 9 — Industry, Innovation and Infrastructure
SDG 11 — Sustainable Cities and Communities
SDG 12 — Responsible Consumption and Production
SDG 13 — Climate Action
SDG 16 — Peace, Justice and Strong Institutions
SDG 17 — Partnerships for the Goals
Explore All Session Tracks
Track 01
Advancements in Deep Learning Techniques

This track focuses on the latest advancements in deep learning methodologies and their applications in various IT domains. Researchers are encouraged to present innovative approaches that enhance model performance and efficiency.

Track 02
Predictive Modeling in IT Systems

This session explores the role of predictive modeling in optimizing IT systems and infrastructure. Contributions that demonstrate the impact of predictive analytics on decision-making processes are highly encouraged.

Track 03
AI Applications in Cybersecurity

This track examines the integration of artificial intelligence in enhancing cybersecurity measures. Papers should discuss novel algorithms and frameworks that improve threat detection and response capabilities.

Track 04
Data Analytics for IT Performance Optimization

This session highlights the use of data analytics to optimize IT performance and resource management. Submissions should focus on case studies or methodologies that showcase effective data-driven strategies.

Track 05
Cloud Computing and Neural Network Integration

This track addresses the challenges and solutions associated with integrating artificial neural networks in cloud computing environments. Researchers are invited to present findings on scalability, efficiency, and performance improvements.

Track 06
Software Development and Machine Learning

This session investigates the intersection of software development practices and machine learning techniques. Contributions should highlight best practices, tools, and frameworks that facilitate the incorporation of ML into software projects.

Track 07
Network Management through Computational Intelligence

This track focuses on the application of computational intelligence techniques in network management. Papers should explore innovative solutions for network optimization, monitoring, and fault detection.

Track 08
IT Governance and Algorithm Design

This session examines the relationship between IT governance frameworks and algorithm design. Contributions should discuss how governance principles can influence the development and deployment of algorithms in IT.

Track 09
System Reliability and Automation in IT

This track explores the role of automation in enhancing system reliability within IT infrastructures. Researchers are encouraged to present methodologies that demonstrate improved reliability through automated processes.

Track 10
IoT Integration and Data Management

This session addresses the challenges of integrating IoT devices within existing IT frameworks and managing the resulting data. Contributions should focus on innovative solutions for data handling, security, and interoperability.

Track 11
Performance Optimization Strategies in IT Services

This track investigates various strategies for optimizing performance in IT services. Papers should present empirical studies or theoretical frameworks that contribute to the understanding of performance enhancement in service delivery.

2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.