International Conference on

Time Series Analysis and Machine Learning (ICTSAML-26)

14th – 15th Nov 2026 | Dublin, Ireland | Hybrid Mode
Proudly organized by the : Institute for Global Academic Excellence (IGAE)

Call for Papers

The International Conference on Time Series Analysis and Machine Learning invites researchers, academicians, industry professionals, and practitioners to submit original and high-quality research contributions. The conference aims to provide a global platform for knowledge exchange, innovation, and collaboration across diverse research domains.

This conference focuses on emerging trends, practical challenges, and cutting-edge advancements in areas such as Machine Learning encouraging interdisciplinary research and innovative approaches to solving real-world problems.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Time series forecasting with machine learning
02
Anomaly detection in time series data
03
Applications of time series analysis
04
Feature extraction techniques for time series
05
Real-time time series processing methods
06
Seasonal decomposition of time series
07
Machine learning for financial time series
08
Time series data visualization techniques
09
Predictive modeling for time series data
10
Challenges in time series forecasting
11
Time series classification methods
12
Machine learning for sensor time series
13
Temporal data mining techniques
14
Time series analysis in healthcare
15
Machine learning for climate data
16
Data preprocessing for time series analysis
17
Future trends in time series research
18
Machine learning for energy time series
19
Time series data integration methods
20
Collaborative time series analysis
Conference Registration
  • Accepted authors must register for the conference to present their work.
  • Early registration allows you to take advantage of discounted fees.
  • Check the registration page for more details.
Publication Opportunities

Selected papers will be published in the IGAE Conference Proceedings or other journals affiliated with IGAE. Authors whose papers are accepted for publication will be notified in advance.

Event Highlights
  • Keynote sessions by experienced speakers
  • Technical paper presentations across multiple topics
  • Opportunities for academic and professional networking
  • Discussions on current research developments

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