Pillar Quant Analytics in Science & Technology

Pillar Quant Analytics in Science & Technology is an international, peer-reviewed, open-access journal dedicated to advancing the application of quantitative methods and analytical tools in scientific and technological research. The journal serves as a platform for researchers, engineers, data scientists, and academicians to disseminate original research, methodologies, and case studies that emphasize the role of quantitative analytics in solving complex problems across various domains of science and technology.

Pillar Quant Analytics in Science & Technology embraces a multidisciplinary approach, welcoming contributions from fields such as physics, engineering, computer science, environmental science, chemistry, life sciences, and applied mathematics. Special attention is given to works that demonstrate innovative uses of statistical modeling, machine learning, optimization techniques, computational simulations, and data-driven decision-making.