Biography:
Dr. Sima Malekmohammadi is an environmental engineer and lecturer at Imam Khomeini International University, with expertise in water and wastewater treatment system design and process optimization. She obtained her Ph.D. in Environmental Engineering from K. N. Toosi University of Technology, Iran, where her research focused on the integration of biological and electrochemical processes, particularly microbial fuel cells (MFCs), for simultaneous wastewater treatment and energy recovery. Her doctoral work led to several publications addressing MFC design, scale-up, and process optimization using artificial intelligence tools, including neural networks and response surface methodology (RSM).
Dr. Malekmohammadi has broad experience in experimental design, bioreactor operation, and AI-assisted modeling. She has contributed to industrial and pilot-scale projects, including A₂/O biological treatment systems, reverse osmosis (RO) design, and hybrid treatment technologies for industrial effluents. At Imam Khomeini International University, she teaches and supervises students in environmental engineering, with a research focus on sustainable water management, advanced biological–electrochemical systems, and smart modeling approaches that link research innovation with real-world engineering practice
Title : Data-driven modeling and optimization of the coagulation process in water treatment using RSM and neural networks