ISSER Conference

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 9 Industry, Innovation and Infrastructure

SDG 12 Responsible Consumption and Production

TRACK 01

Advancements in Predictive Maintenance Technologies

This track focuses on the latest technological innovations in predictive maintenance, emphasizing machine learning algor...

TRACK 02

Machine Learning Approaches for Fault Detection

This session will delve into machine learning methodologies specifically designed for fault detection in engineering sys...

TRACK 03

Condition Monitoring Techniques in Industrial Settings

This track will examine various condition monitoring techniques employed in industrial environments, highlighting their ...

TRACK 04

Predictive Analytics for Equipment Health Management

Participants will explore predictive analytics methodologies that facilitate effective equipment health management. The ...

TRACK 05

Anomaly Detection in Industrial IoT Systems

This session will address the challenges and solutions related to anomaly detection within Industrial IoT frameworks. Em...

TRACK 06

Supervised vs. Unsupervised Learning in Maintenance Optimization

This track will compare supervised and unsupervised learning techniques in the context of maintenance optimization. Part...

TRACK 07

Deep Learning Applications in Predictive Maintenance

This session will focus on the application of deep learning techniques in predictive maintenance scenarios. Researchers ...

TRACK 08

Feature Extraction and Time Series Analysis for Maintenance

This track will investigate the importance of feature extraction and time series analysis in predictive maintenance appl...

TRACK 09

Model Evaluation and Validation in Predictive Maintenance

This session will cover best practices for model evaluation and validation in the context of predictive maintenance anal...

TRACK 10

Failure Prediction Techniques in Engineering Systems

This track will explore various techniques for predicting failures in engineering systems, emphasizing the role of data ...

TRACK 11

Data-Driven Maintenance Strategies for Enhanced Reliability

This session will highlight data-driven maintenance strategies aimed at enhancing the reliability of engineering systems...

International Conference on Predictive Maintenance Analytics in Engineering (ICPMAE-26)

30th - 31st December 2026, Limassol, Cyprus(In-person or Virtual)

Early Bird Registration

Latest News and Announcements:

Registration Reminder:
Don’t forget to register early for the ISSER Society Conference in Limassol ! Early-bird registration ends soon, so register today to take advantage of discounted fees Register Now!

Certificate of Presentation – Recognizing Your Contribution:
Present your research and receive a Certificate of Presentation to recognize your valuable contribution to the conference. Be part of an international academic community and gain acknowledgement for your hard work and dedication!

Paper Submission Guidelines:
Ensure your paper follows the guidelines for successful submission and review. Visit our paper submission page for all the details."

Keynote Speaker Sessions – Learn from Industry Experts:
Attend Keynote Speaker Sessions led by renowned industry experts. Gain insights from leaders in your field and learn about the latest trends, innovations, and academic advancements Apply Now!

Opportunity for Scopus-Indexed Journal Publication:
Get the opportunity to have your research published in a Scopus-Indexed Journal. Your work could be featured in a high-impact publication, helping you expand your academic visibility.

Networking with Global Experts:
Take advantage of the conference to network with global experts in your field. Meet researchers, professionals, and academics, and expand your international professional network.

SDG-Inspired Conference Focus:
Our conference aligns with key global priorities, promoting collaborative solutions to complex challenges in line with the UN’s Sustainable Development Goals.