Sahar Sharifzadeh is an Associate Professor in the Department of Electrical & Computer Engineering at Boston University's College of Engineering. She holds an affiliation with the Boston University Institute for Global Sustainability (IGS). Her research focuses on predicting and understanding functional material properties using first-principles electronic structure methods, aiming to design novel materials for energy and technology applications. She earned her PhD in Electrical Engineering from Princeton University, an MA from Princeton, and a BS in Electrical Engineering from UC Berkeley. Her research group develops computational frameworks to model quantum mechanical phenomena in materials, including nanotubes, semiconductors, and biological systems. Recent work emphasizes machine learning integration and defect engineering in materials. She has contributed to software tools like Nexmd v2.0 for molecular dynamics simulations. Her advising and grants focus on training researchers in interdisciplinary computational methods. She collaborates with the IGS to advance sustainable energy technologies through material innovation.
