Important Dates
Early Bird Registration :31st August 2026
Paper Submission Deadline :5th September 2026
Last Date of Registration : 15th September 2026
Date of Conference : 30th - 1st October 2026
Conference Session Tracks
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.
SDG 4 — Quality Education
SDG 8 — Decent Work and Economic Growth
SDG 9 — Industry, Innovation and Infrastructure
SDG 11 — Sustainable Cities and Communities
SDG 12 — Responsible Consumption and Production
Track 01
Real-Time Data Processing Techniques
This track focuses on innovative methodologies for processing real-time data in control systems. Contributions should explore algorithms and frameworks that enhance the efficiency and accuracy of data processing.
Track 02
Predictive Analytics in Control Systems
This session aims to discuss the application of predictive analytics in enhancing control system performance. Papers should highlight techniques that leverage historical data to forecast future system behavior.
Track 03
Supervised and Unsupervised Learning Approaches
This track invites research on both supervised and unsupervised learning techniques applicable to control systems. Contributions should demonstrate how these approaches can improve system adaptability and decision-making.
Track 04
Deep Learning for Sensor Data Analysis
This session explores the use of deep learning models for analyzing sensor data in real-time. Papers should present novel architectures or applications that enhance the interpretation of complex sensor inputs.
Track 05
Anomaly Detection in Industrial IoT
This track focuses on methodologies for detecting anomalies in industrial IoT environments. Contributions should address challenges and solutions related to real-time anomaly detection in control systems.
Track 06
Streaming Analytics for Process Optimization
This session highlights the role of streaming analytics in optimizing industrial processes. Papers should discuss techniques that enable real-time insights and adjustments to enhance operational efficiency.
Track 07
Feature Extraction Techniques for Control Systems
This track invites research on advanced feature extraction methods tailored for control system applications. Contributions should demonstrate the impact of feature selection on model performance and decision-making.
Track 08
Predictive Modeling in System Monitoring
This session focuses on the development of predictive models for effective system monitoring. Papers should explore how these models can anticipate system failures and enhance reliability.
Track 09
Adaptive Control Strategies Using Data-Driven Approaches
This track examines adaptive control strategies that utilize data-driven methodologies. Contributions should showcase how real-time data can inform and refine control strategies for dynamic environments.
Track 10
Data Integration Techniques for Control Systems
This session explores innovative data integration techniques that facilitate seamless data flow in control systems. Papers should address the challenges of integrating diverse data sources for enhanced decision-making.
Track 11
Fault Detection and Reliability in Control Systems
This track focuses on methodologies for fault detection and improving reliability in control systems. Contributions should present novel approaches that leverage real-time data for proactive fault management.