Mohammad Soltanieh-ha

Mohammad Soltanieh-ha is a Clinical Assistant Professor at the Information Systems department at Boston University’s Questrom School of Business. Mohammad obtained his Ph.D. in computational physics in 2015 from Northeastern University where he studied strongly correlated electronic systems in low dimensions. His current research interest revolves around computer vision applications in automating cancer diagnosis as well as large-scale high-performance computing. His teaching experience includes data science programming, big data analytics, and applications of data science in business.

Mohammad has leadership roles at Google and American Physical Society (APS). In 2019, he founded a data science unit within APS and is currently the chair. Additionally, he is a Faculty Expert at Google Cloud, where he advocates for cloud computing education and helps other faculty members with best practices.

EDUCATION

PhD, Northeastern University, 2015 M.Sc., University of Wyoming, 2012

SELECTED PUBLICATIONS

• Noorbakhsh, J., Farahmand, S., Soltanieh Ha, M., Zarringhalam, K., Chuang, J. (2020). "Pan-cancer classifications of tumor histological images using deep learning", bioRxiv
• Nocera, A., Soltanieh-ha, M., Perroni, C., Cataudella, V., Feiguin, A. (2014). "Interplay of charge, spin, and lattice degrees of freedom in the spectral properties of the one-dimensional Hubbard-Holstein model", Physical Review B, 90 (19)
• Soltanieh-ha, M., Feiguin, A. (2014). "Spectral function of theU?8one-dimensional Hubbard model at finite temperature and the crossover to the spin-incoherent regime", Physical Review B, 90 (16)
• Soltanieh-ha, M., Feiguin, A. (2012). "Class of variational Ansätze for the spin-incoherent ground state of a Luttinger liquid coupled to a spin bath", Physical Review B, 86 (20)