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Hybrid Event

13th - 14th July 2026 | Vienna, Austria

International Conference on Smart Sensors and Actuators Engineering (ICSASE - 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 4 — Quality Education
SDG 9 — Industry, Innovation and Infrastructure
SDG 11 — Sustainable Cities and Communities
SDG 12 — Responsible Consumption and Production
Explore All Session Tracks
Track 01
Advancements in Smart Sensor Technologies

This track focuses on the latest innovations in smart sensor technologies, emphasizing their applications in various engineering fields. Papers will explore novel sensor designs, integration techniques, and performance enhancements.

Track 02
Actuator Design and Performance Optimization

This session will delve into the design principles and optimization strategies for actuators used in smart systems. Contributions will highlight methodologies for improving actuator efficiency and responsiveness in real-time applications.

Track 03
Nanotechnology in Sensor Development

This track examines the role of nanotechnology in the development of advanced sensors with enhanced sensitivity and selectivity. Researchers are invited to present studies on nanoscale materials and their integration into sensor platforms.

Track 04
Machine Learning Applications in Smart Engineering

This session will cover the application of machine learning techniques, including supervised and unsupervised learning, in smart engineering contexts. Papers will discuss predictive modeling, anomaly detection, and feature extraction in sensor data.

Track 05
Workflow Automation in Smart Systems

This track focuses on the automation of workflows in engineering processes utilizing smart sensors and actuators. Contributions will explore system monitoring, data analytics, and the integration of automation technologies.

Track 06
Simulation and Modeling of Smart Materials

This session will address simulation techniques and predictive modeling approaches for smart materials. Researchers are encouraged to present their findings on material characterization and performance analysis under varying conditions.

Track 07
Industrial IoT and Smart Actuator Integration

This track will explore the integration of smart actuators within the Industrial Internet of Things (IIoT) framework. Contributions will focus on system integration challenges and solutions for enhancing industrial automation.

Track 08
Performance Analysis of Smart Sensor Networks

This session will investigate the performance metrics and evaluation methods for smart sensor networks. Papers will discuss network reliability, data accuracy, and the impact of sensor placement on overall system performance.

Track 09
Nanoscale Integration Techniques for Smart Devices

This track focuses on the challenges and techniques associated with nanoscale integration in smart devices. Researchers will present innovative approaches to enhance device functionality and miniaturization.

Track 10
Analytics and Data Processing in Smart Engineering

This session will highlight the role of data analytics in processing information from smart sensors and actuators. Contributions will cover methodologies for data interpretation, visualization, and decision-making in engineering applications.

Track 11
Future Trends in Smart Materials and Actuators

This track will explore emerging trends and future directions in the field of smart materials and actuators. Researchers are invited to discuss potential breakthroughs and the implications for engineering practices.

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.