Seyedeh Maryam Mousavi Fard is an accomplished civil and water engineering scholar specializing in transient flow analysis, leak detection in water systems, and the integration of machine learning into hydraulic and environmental applications. She serves as an Assistant Professor of Civil Engineering at Fasa University, where she has also held key academic leadership and advisory roles. Her research spans pressurized pipe transients, turbulence behavior, cavitation, sensor placement, optimization, water and wastewater treatment, and water quality monitoring, with strong expertise in both numerical modeling and data-driven approaches. She is proficient in MATLAB, Python, and major hydraulic and CFD software, and actively applies machine learning techniques to engineering and interdisciplinary problems. Her scholarly output includes influential journal articles across hydraulic engineering, environmental engineering, and food and bioprocess systems, reflecting broad interdisciplinary collaboration. Recognized for excellence in teaching, she is known for innovative, student-centered learning methods and strong academic mentorship at undergraduate and postgraduate levels.