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Summary

I am an experienced data scientist specializing in transdisciplinary statistical methods and deep learning, currently affiliated with СʪÃÃÊÓƵ of London. Before this role, I engaged in collaborative research at the University of New South Wales (UNSW), Australia, where I supported various research initiatives and contributed to practical projects. I hold a PhD in Industrial Engineering from Sharif University of Technology, awarded in 2024.

My recent research focuses on dynamic network modelling and mathematical programming, utilizing statistical modelling and stochastic optimization to address complex, real-world challenges. Specifically, I aim to enhance the functionality and performance of complex socio-X systems by uncovering patterns in individual and group behaviour.

Given the escalating consequences of climate change on multiple aspects of human social life, there has been a growing trend in research that emphasizes the resilience analysis of human activities, particularly in the context of environmental sustainability. This analysis provides essential tools for evaluating and enhancing the capacity of systems to withstand and adapt to challenges, such as the ramifications of climate change, which are vital for achieving long-term environmental sustainability. At Brunel Business School, my research concentrates on developing resilience strategies and tools that foster adaptation and improve risk management.

If you find this area of research intriguing, especially its applications in business, I would be delighted to discuss it further with you. Please feel free to reach out.