Hybrid Conferencee

International Conference on Smart Materials for Energy Harvesting (ICSMEH - 26)

17th - 18th December 2026 | Las vegas, USA

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Certificate of Presentation:
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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 7
SDG 7 Affordable and Clean Energy
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 11
SDG 11 Sustainable Cities and Communities
Track 01

Advancements in Smart Materials for Energy Harvesting

This track focuses on the latest developments in smart materials specifically designed for energy harvesting applications. Researchers are invited to present innovative materials and their performance in energy conversion processes.

Track 02

Nanostructured Materials for Enhanced Energy Efficiency

This session explores the role of nanostructured materials in improving energy efficiency across various applications. Contributions should highlight the synthesis, characterization, and performance of these materials in energy systems.

Track 03

Predictive Modeling Techniques in Smart Materials Research

This track emphasizes the use of predictive modeling techniques to optimize the performance of smart materials. Papers should discuss methodologies such as supervised and unsupervised learning in the context of material behavior and energy harvesting.

Track 04

Deep Learning Applications in Smart Materials Development

This session invites contributions that leverage deep learning techniques for the analysis and development of smart materials. Topics may include model training, feature extraction, and performance evaluation in energy harvesting scenarios.

Track 05

Anomaly Detection in Smart Material Systems

This track addresses the challenges of anomaly detection in systems utilizing smart materials for energy harvesting. Researchers are encouraged to present novel approaches and case studies demonstrating effective monitoring and diagnostics.

Track 06

Workflow Automation in Smart Material Manufacturing

This session focuses on the automation of workflows in the manufacturing of smart materials. Contributions should discuss techniques that enhance efficiency and quality in the production process, including additive manufacturing.

Track 07

Integration of Smart Materials in Industrial IoT Applications

This track explores the integration of smart materials within the framework of Industrial IoT. Papers should examine the implications of device connectivity and data analytics on the performance and reliability of energy harvesting systems.

Track 08

Performance Analysis of Piezoelectric Materials

This session is dedicated to the performance analysis of piezoelectric materials used in energy harvesting applications. Researchers are invited to present experimental and theoretical studies that evaluate the efficiency and durability of these materials.

Track 09

Simulation and Modeling of Smart Material Systems

This track focuses on the simulation and modeling of smart material systems for energy harvesting. Contributions should highlight computational techniques and their applications in predicting material behavior under various conditions.

Track 10

Process Optimization in Smart Material Applications

This session addresses process optimization strategies for enhancing the performance of smart materials in energy harvesting. Researchers are encouraged to present methodologies that lead to improved efficiency and cost-effectiveness.

Track 11

Analytics and Data-Driven Approaches in Smart Materials

This track emphasizes the role of analytics and data-driven approaches in the research and development of smart materials. Contributions should focus on how data can inform design choices and optimize material performance in energy systems.