Amir Abbas Kazemzadeh

Dr. Amir Abbas Kazemzadeh's work is a beacon for progress in the interdisciplinary realms of computing and engineering. As a distinguished faculty member in the Computing department at Boise State University, Dr. Kazemzadeh brings a wealth of knowledge and expertise to his role. He holds dual Ph.D. degrees, one in Computing with a focus on Data Science, completed between 2019 and 2023, and another in Chemical Engineering, earned from 2013 to 2017. This unique combination of qualifications underscores his ability to bridge the gap between computational techniques and engineering applications. Dr. Kazemzadeh's research interests are diverse and cutting-edge, encompassing the application of machine learning and data science to fields such as process engineering, biomedical engineering, and materials design. His work is characterized by a commitment to leveraging advanced computational methods to solve complex engineering problems, thereby contributing to the advancement of technology and innovation. Currently, Dr. Kazemzadeh is spearheading a project funded by the Idaho NASA EPSCoR Research Initiation Grant. This ambitious endeavor focuses on the use of phase-field modeling and deep learning techniques to design new permanent magnets. These magnets are intended for high-temperature applications in NASA and aviation, highlighting the practical and far-reaching implications of his research. In addition to his research activities, Dr. Kazemzadeh is dedicated to mentoring the next generation of scientists and engineers. He actively engages with students, fostering an environment of curiosity and discovery, and encouraging them to explore the intersections of computing and engineering. His teaching philosophy emphasizes the importance of interdisciplinary collaboration and the application of theoretical knowledge to real-world challenges. Dr. Kazemzadeh's contributions to the fields of computing and engineering are not only advancing academic knowledge but also paving the way for technological innovations that have the potential to transform industries. His work exemplifies the power of interdisciplinary research and the impact of combining computational prowess with engineering expertise.