The aims of ITISE 2025 is to create a friendly environment that could lead to the establishment or strengthening of scientific collaborations and exchanges among attendees, and therefore, ITISE 2025 solicits high-quality original research papers (including significant work-in-progress) on any aspect related to time series analysis and forecasting, in order to motivatethe generation and development of new computational techniques and methods in the field of time series analysis and forecasting. The aims of ITISE 2025 is to create a friendly environment that could lead to the establishment or strengthening of scientific collaborations and exchanges among attendees, and therefore, ITISE 2025 solicits high-quality original research papers (including significant work-in-progress) on any aspect related to time series analysis and forecasting, in order to motivatethe generation and development of new computational techniques and methods in the field of time series analysis and forecasting. The aims of ITISE 2025 is to create a friendly environment that could lead to the establishment or strengthening of scientific collaborations and exchanges among attendees, and therefore, ITISE 2025 solicits high-quality original research papers (including significant work-in-progress) on any aspect related to time series analysis and forecasting, in order to motivatethe generation and development of new computational techniques and methods in the field of time series analysis and forecasting. The aims of ITISE 2025 is to create a friendly environment that could lead to the establishment or strengthening of scientific collaborations and exchanges among attendees, and therefore, ITISE 2025 solicits high-quality original research papers (including significant work-in-progress) on any aspect related to time series analysis and forecasting, in order to motivatethe generation and development of new computational techniques and methods in the field of time series analysis and forecasting. 11th International conference on Time Series and Forecasting