Mohammad Soltanieh-ha

Clinical Assistant Professor, Information Systems

Mohammad Soltanieh-ha is a Clinical Assistant Professor in 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, macroeconomics time-series forecasting, and applications of large language models. His teaching experience includes data science programming, big data analytics, and data science applications in business. Mohammad has leadership roles at Google and the American Physical Society (APS). In 2019, he co-founded the APS data science unit and served as the founding chair; he currently serves on the APS Board of Directors. Additionally, he is a Faculty Expert at Google Cloud, advocating for cloud computing education and helps other faculty members with best practices.

Education

PhD, Northeastern University, 2015

M.Sc., University of Wyoming, 2012

Publications

Soltanieh Ha, M., Luigi, L. (In Press). “A verifable estimation and parametric inference of nonlinear equations using neural networks”,

Stoller, G., Soltanieh Ha, M. (2023). “New Season!! Language of Business (Episode #1), Artificial Intelligence, Part I”, Questrom

Noorbakhsh, J., Farahmand, S., Foroughi Pour, A., Namburi, S., Caruana, D., Rimm, D., Soltanieh-Ha, M., Zarringhalam, K., Chuang, J. (2020). “Deep learning-based cross-classifications reveal conserved spatial behaviors within tumor histological images.”, Nat Commun, 11 (1), 6367-

Noorbakhsh, J., Farahmand, S., Ha, M., Namburi, S., Zarringhalam, K., Chuang, J. (2019). “Abstract 1632: Deep learning functional associations using histopathology images”, Cancer Research, 79 (13_Supplement), 1632-1632

Noorbakhsh, J., Farahmand, S., Ha, M., Namburi, S., Zarringhalam, K., Chuang, J. (2019). “Abstract 1632: Deep learning functional associations using histopathology images”, Bioinformatics, Convergence Science, and Systems Biology 1632-1632

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)