Pedram Ramin

Pedram Ramin is a Senior Researcher in the Department of Chemical and Biochemical Engineering at the Technical University of Denmark (DTU), affiliated with the PROSYS - Process and Systems Engineering Centre. His work contributes to UN Sustainable Development Goals related to clean water and sustainable cities.

His research focuses on process systems engineering, particularly in wastewater treatment, bioprocess modeling, and digital twin development. Key areas include fault detection using machine learning, anaerobic digestion, industrial fermentation, and sewer system modeling. He applies data-driven techniques like Random Forest and Long Short-Term Memory networks to address challenges in imbalanced big data from wastewater systems.

His recent publications highlight trends in integrating artificial intelligence with process engineering for environmental applications, especially in monitoring and optimizing wastewater and biomanufacturing systems. These works span fault diagnosis, life cycle assessment, and hybrid modeling for industrial-scale processes.

• Senior Researcher, DTU Chemical and Biochemical Engineering
• Supervisor, Mathematical modelling for digital twins of fermentation processes (2023–2026)
• PhD Graduate, DTU (2013–2017)

He has contributed to multiple research projects and has presented at international conferences on topics such as wastewater-based epidemiology and biogas reactor optimization. While no formal scientific awards are listed, his work is widely published and cited in the field of process engineering and environmental technology.

He supervises PhD students, including M. Lemperle, and collaborates extensively within DTU and with external partners. His lab environment is centered around the PROSYS research group, focusing on advanced modeling and simulation for sustainable industrial processes. Future work appears directed toward enhancing digital twins and improving wastewater monitoring through AI-driven analytics.