My research interest lies at the intersection of simulation and software development, focusing on bridging the gap between these two domains to create more efficient, scalable, and intelligent computational solutions. My work explores how simulation models can be seamlessly converted into software projects, streamlining the software development process and reducing the complexity of translating theoretical models into practical applications. During my PhD in Computer Science, I conducted extensive research on simulation methodologies and their role in software engineering, emphasizing the need for a more integrated approach. A framework was designed to bridge the gap between simulation models and software development. Traditional software development often requires significant effort to implement real-world scenarios, whereas simulation models offer a structured, predictive, and adaptable framework. My research focuses on designing automated techniques and tools that facilitate the direct transformation of simulation models into software architectures, enabling faster and more reliable development cycles. I am looking forward to bridge academic research and industry applications, ensuring that simulation models are practically applicable in real-world software solutions. By integrating simulation and software development more effectively, I aim to contribute to the advancement of computational research while enhancing software engineering practices for greater efficiency, scalability, and reliability.