Danial Hamedi Jamali, M.Sc.
Process Systems Engineering
Main Focus
His current PhD work centers on the topology optimization of pipeline networks using mixed‑integer nonlinear programming (MINLP). Most recently, he developed a MINLP model for optimal hydrogen pipeline network design—evaluating both retrofit and new-built scenarios—which applied to a case study of the Irish gas grid.
Previously, his research focused on multi‑objective optimization of multi‑generation energy systems, with a particular focus on: Techno‑economic, exergy and exergo‑environmental analyses and optimization of renewable-based energy systems such as combined cooling, heat, and power (CCHP) systems.
His expertise spans MINLP, mathematical programming, energy‑exergy analysis, and process systems engineering—applied to sustainable system design.
For a full list of publications, please refer to his Google Scholar profile linked on this webpage.
Curriculum Vitae
Danial Hamedi Jamali is a doctoral researcher at the Max Planck Institute for Dynamics of Complex Technical Systems in Magdeburg, working in the Process Systems Engineering group under Prof. Kai Sundmacher. He holds an M.Sc. degree from the University of Tehran, and he was awarded scholarships for both his bachelor’s and master’s studies. He is also the Dean’s Scholarship winner from the University of Saskatchewan (Saskatoon, Canada).
To date, he has participated in several international research collaborations, and authored over ten peer-reviewed publications which have received more than 1000 citations. In addition, he has been invited to review manuscripts for several journals, including those published by Elsevier and Springer Nature.