Tentative Program

This track focuses on the latest developments in nanomaterials specifically tailored for electronic devices. Researchers will present innovative approaches to enhance the performance and functionality of electronic components using nanoscale materials.

This session explores the integration of smart materials in nanoengineering applications. Discussions will highlight the potential of these materials to adapt and respond to environmental stimuli, thereby revolutionizing device design.

This track emphasizes the role of predictive modeling techniques in the field of nanotechnology. Participants will share methodologies that leverage computational models to forecast the behavior and performance of nanomaterials.

This session delves into the application of supervised and unsupervised learning methods for analyzing nanomaterials. Researchers will showcase how machine learning can enhance the understanding and characterization of nanoscale materials.

This track addresses the challenges of anomaly detection in nanoscale devices and systems. Presentations will focus on innovative techniques to identify and mitigate performance issues in nanotechnology applications.

This session highlights advancements in feature extraction techniques and their role in automating workflows within nanoengineering. Participants will discuss how these innovations can streamline processes and enhance productivity.