The second issue of Volume 1 of the Journal of Interdisciplinary Research in Science and Technology (JIRST) continues the journal’s mission of promoting high-quality, peer-reviewed research across diverse scientific and technological domains. Building upon the success of the inaugural issue, Issue 2 further strengthens JIRST’s commitment to interdisciplinary collaboration, innovation, and responsible technological advancement.

This issue features scholarly contributions focusing on emerging technologies such as Artificial Intelligence, Machine Learning, Deep Learning, data analytics, sustainable engineering, and applied computational sciences. The selected papers emphasize methodological rigor, practical implementation, and societal impact, reflecting the journal’s objective to bridge theoretical research with real-world applications.

Volume 1, Issue 2 highlights:

• Advances in intelligent systems and automation

• Interdisciplinary applications of computational models

• Ethical and sustainable technology development

• Data-driven decision-making frameworks

• Emerging trends in scientific innovation

The research published in this issue underscores the importance of integrating scientific knowledge across disciplines to address complex global challenges. From healthcare innovations and smart infrastructure to climate sustainability and digital transformation, the contributions demonstrate how collaborative research can accelerate progress.

JIRST remains dedicated to fostering academic excellence, transparent peer-review processes, and global research engagement. Volume 1, Issue 2 reaffirms the journal’s role as a platform for researchers, academicians, industry professionals, and policymakers seeking impactful and forward-looking scientific discourse.

We sincerely thank the authors, reviewers, and editorial board members for their continued dedication and scholarly contributions.