Ghazal Ziadlou

Ghazal Ziadlou began her PhD journey at KLU in October 2025 under the supervision of Prof. Dr. Arne Heinold. Her research focuses on Operations Research for Logistics in Carbon Dioxide Removal (CDR). She earned a Master of Science degree in Industrial Engineering with a Systems Optimization specialization, having previously completed a Bachelor of Science in Industrial Engineering from Babol Noshirvani University of Technology; she distinguished herself in her cohort by ranking first among entrants in her year for the Master’s program.

Her Master’s thesis proposed a capable scheduling model for a networked group of interacting factories, considering transportation costs, yielding both a conference paper and a journal paper published in Computers & Industrial Engineering journal. Throughout her studies, she had the responsibility of being a teaching assistant for multiple courses, including simulation, inventory control and planning, data-driven modeling, and multivariate statistical analysis. After graduation, she worked as a research assistant on feasibility studies for real-world cases in one of Iran’s provinces to help expand and improve opportunities for startups and new businesses. Her broader research interests encompass Optimization, Operations Research, Decision-Making, Simulation, Production Planning and Scheduling, Data Science and Machine Learning.