The aim of this paper is to describe a set of several time parameters developed and tested for the case study of the ASTRI Mini-Array telescopes [8], which are being installed at the _Observatorio del Teide_, in the Canary Islands (Spain), in order to evaluate their effectiveness for the gamma/hadron discrimination. This work presents several key innovations in gamma-ray/hadron discrimination for Imaging Atmospheric Cherenkov Telescopes (IACTs). While previous approaches have primarily relied on morphological and stereoscopic parameters, our study introduces three significant advances:  
1. **Novel Integration of Temporal Features:** We develop and implement a comprehensive temporal parameter selection methodology specifically optimized for the ASTRI Mini-Array telescope system. This approach goes beyond traditional timing measurements by incorporating eight carefully selected temporal parameters that capture various aspects of shower evolution. 2. **Enhanced Discrimination Framework:** Our work introduces a specialized Random Forest implementation that combines both conventional morphological parameters and temporal features. This hybrid approach enables more robust discrimination between gamma-ray and hadron events, particularly in the challenging low-energy regime (below \(\sim\)1.5 TeV). 3. **Quantifiable Performance Improvement:** The integration of our temporal parameter selection methodology demonstrates a significant enhancement in discrimination ability, improving the quality factor from 3.32 (using only morphological parameters) to 3.68 (with selected temporal parameters). This represents approximately a 10.8% improvement in separation performance. These advances are particularly significant for the ASTRI Mini-Array context, where optimizing event discrimination directly impacts the telescope array's ability to detect and characterize very high-energy gamma-ray sources. Our approach not only improves discrimination performance but also provides a framework for incorporating temporal information that can be adapted for other IACT systems. In the next subsections, we put our work in the context of the present Cherenkov experiments, with particular focus on the ASTRI Mini-Array, and on the state of the art of the use of time parameters in the Cherenkov data analysis. In Section 2, we describe the data samples considered in this work, while in Section 3, we describe the standard procedure by which we achieve the gamma/hadron separation for our data. In Section 4, we describe the set of parameters developed and tested for this work, and in Section 5, we describe the selection of the most promising ones. In Section 6, we report our performance results on their effectiveness in the Cherenkov data analysis. In Section 7, we outline our conclusions and future prospects. Figure 1: Simulated Cherenkov shower images as observed by an ASTRI Mini-Array telescope, illustrating the differences in time evolution between different types of events. The image covers the entire ASTRI field of view (each side spanning approximately 10 deg). The color scale indicates the time when the pixel is triggered by the incoming Cherenkov photons (see Section 2.3 for details on the time recording process), with the black, indicating that the pixel has not been triggered. The time (in ns) increases from blue to white. In this example, the gamma-initiated event (**left**) evolves slowly than the hadron-initiated event (**right**).