Her research is in software performance engineering, developing practical, data-driven methods for complex computing systems. Drawing on more than five years of industry experience, she grounds her research and teaching in real-world challenges. Her work examines the performance of cloud and edge computing systems, microservices, data-intensive systems, and advanced machine learning models, and develops solutions for workload characterization, performance prediction, and resource management. Her research has been published in leading conferences and journals and supported by the Petro-Canada  Innovator Award, Mitacs, NSERC, and NFRF.

As Academic Director, Dr. Amannejad advances strategic priorities in research and innovation and program and curriculum development. In keeping with the School’s open and collaborative approach to engagement, she builds connections and partnerships with industry, community, and academic leaders.