Hybrid Conferencee

International Conference on Blockchain Applications in Computer Science (ICBACS - 26)

4th - 5th November 2026 | Sepang, Malaysia

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Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Sepang. 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 Sepang 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 Sepang conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Sepang, 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 Sepang."
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

Blockchain in Predictive Modeling

This track explores the integration of blockchain technology in predictive modeling applications within computer science. It aims to discuss innovative methodologies that enhance the accuracy and reliability of predictive models through decentralized data management.

Track 02

Supervised Learning Techniques for Blockchain Applications

This session focuses on the application of supervised learning techniques to improve blockchain-based systems. Participants will present research on algorithmic advancements that optimize data processing and decision-making in blockchain environments.

Track 03

Unsupervised Learning and Data Security in Blockchain

This track examines the role of unsupervised learning in enhancing data security within blockchain frameworks. Discussions will center on novel approaches to anomaly detection and feature extraction that bolster the integrity of distributed ledger systems.

Track 04

Deep Learning for Smart Contracts

This session delves into the application of deep learning techniques to optimize smart contract performance and security. Researchers will share insights on how machine learning models can predict contract outcomes and mitigate risks.

Track 05

Anomaly Detection in Industrial IoT with Blockchain

This track highlights the intersection of blockchain technology and industrial IoT for effective anomaly detection. Presentations will cover case studies and frameworks that utilize blockchain to enhance system monitoring and predictive maintenance.

Track 06

Workflow Automation in Blockchain Systems

This session focuses on the automation of workflows using blockchain technology to streamline processes in computer science engineering. Contributions will include methodologies that leverage distributed ledgers for efficient task management and process optimization.

Track 07

Model Evaluation Techniques in Blockchain Applications

This track addresses the challenges of model evaluation in the context of blockchain applications. Researchers will discuss metrics and frameworks that ensure the robustness and reliability of machine learning models deployed on blockchain platforms.

Track 08

Digital Twin Technologies and Blockchain Integration

This session explores the integration of digital twin technologies with blockchain to enhance asset tracking and management. Presentations will focus on innovative applications that leverage real-time data for improved operational efficiency.

Track 09

Risk Assessment Frameworks in Blockchain Systems

This track investigates risk assessment methodologies tailored for blockchain applications in computer science. Participants will share frameworks that identify, evaluate, and mitigate risks associated with distributed ledger technologies.

Track 10

Process Optimization through Blockchain and AI

This session examines the synergy between blockchain technology and artificial intelligence for process optimization. Researchers will present findings on how these technologies can collaboratively enhance operational workflows and decision-making.

Track 11

Asset Tracking Innovations with Blockchain

This track focuses on the advancements in asset tracking facilitated by blockchain technology. Discussions will center on case studies that demonstrate the effectiveness of decentralized systems in enhancing transparency and traceability in asset management.