Sadafsadat Sajjadijaghargh

Sadafsadat Sajjadijaghargh

PhD Student

As a Ph.D. student in Industrial Engineering at Polytechnique University, my research is centered on employing advanced machine learning, particularly reinforcement learning, to optimize decision-making in the agri-food supply chain. This endeavor highlights my commitment to developing sustainable and efficient supply chain solutions, backed by my strong foundation in machine learning and data science. My experience and interests uniquely position me to make impactful contributions in the realm of industrial engineering and supply chain management.

CONTACT INFO:

SUMMARY OF ACTIVITIES/INTERESTS

Data analysis,
Machine Learning and Reinforcement Learning,
Supply Chain Management,
Agri-Food Supply Chain,
Sustainable Supply Chain,
Embedded systems and sensors,
Integrated circuits and systems

BIOGRAPHY

I have a strong academic background in Electrical Engineering. My career path includes significant experience as a data analyst, specializing in modeling and analyzing integrated circuits and embedded systems. This provides me with a unique perspective on machine learning and data science. The combination of academic rigor and practical application of data analytics, along with my interests in industrial engineering and sustainable development, has shaped my current research focus on machine learning and data science for industrial problem-solving.

Starting a Ph.D. in Industrial Engineering at Polytechnic University is a significant milestone in my journey. My expertise and interest in sustainable solutions make me a valuable contributor to the field of industrial engineering. I aim to bridge the gap between theoretical research and practical, industry-relevant applications. In my Ph.D. research at Polytechnic University, I focus on applying data science techniques, such as machine learning and reinforcement learning, to make an effective contribution in sustainable supply chain management, specifically in the Agri-Food system.