Hybrid Conferencee

International Conference on Smart Hydrogels and Responsive Materials (ICSHREM - 26)

17th - 18th December 2026 | Edinburgh, UK

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Networking with Global Experts:
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Keynote Speaker Sessions:
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Best Paper & Best Paper Presentation Award:
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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 3
SDG 3 Good Health and Well-being
SDG 4
SDG 4 Quality Education
SDG 9
SDG 9 Industry, Innovation and Infrastructure
Track 01

Advancements in Smart Hydrogels

This track focuses on the latest developments in the field of smart hydrogels, emphasizing their unique properties and applications. Researchers are invited to present innovative approaches to enhance the functionality and responsiveness of these materials.

Track 02

Responsive Materials in Biomedical Applications

This session will explore the integration of responsive materials in biomedical fields, including drug delivery and tissue engineering. Papers should highlight the performance and efficacy of these materials in clinical settings.

Track 03

Predictive Modeling in Material Science

This track aims to discuss the role of predictive modeling in the design and optimization of smart materials. Contributions should focus on methodologies that enhance the accuracy and efficiency of material performance predictions.

Track 04

Machine Learning Techniques for Smart Materials

This session will cover the application of supervised and unsupervised learning techniques in the analysis of smart materials. Researchers are encouraged to share insights on how machine learning can improve material characterization and performance.

Track 05

Anomaly Detection in Responsive Systems

This track will address the challenges of anomaly detection in systems utilizing responsive materials. Papers should present novel algorithms and frameworks that enhance system reliability and monitoring.

Track 06

Feature Extraction for Smart Material Applications

This session will focus on innovative techniques for feature extraction in the context of smart materials. Contributions should demonstrate how effective feature selection can lead to improved material performance and application outcomes.

Track 07

Workflow Automation in Material Development

This track will explore the role of workflow automation in the development and testing of smart materials. Researchers are invited to discuss tools and methodologies that streamline processes and enhance productivity.

Track 08

Simulation and Analytics in Nanotechnology

This session will delve into the use of simulation and analytics for the study of nanotechnology applications in smart materials. Papers should highlight case studies that demonstrate the impact of these techniques on material innovation.

Track 09

Additive Manufacturing of Responsive Materials

This track will focus on the advancements in additive manufacturing techniques for creating responsive materials. Contributions should explore how these techniques can be leveraged to produce complex structures with tailored functionalities.

Track 10

Device Integration with Smart Hydrogels

This session will cover the integration of smart hydrogels into devices for various applications, including soft robotics and wearable technology. Researchers are encouraged to present work that demonstrates the synergy between materials and device performance.

Track 11

Performance Analysis of Smart Materials

This track will focus on the methodologies and metrics used for the performance analysis of smart materials. Contributions should provide insights into the evaluation processes that ensure material reliability and effectiveness in real-world applications.