Biography
Dr. Hamid R. Karimian is a research assistant professor in the departments of Computer Science, and Engineering (CSE). He did his PhD studies in theoretical physics at Ghent University, Belgium. Before joining MSU, he worked at Tulane University as a postdoctoral research associate. During the past few years, he has been working on the application of machine learning in order to solve real-world problems and fairness of the results. He has been working on biomedical images and tissue signals, and also fairness of decision making in social domains. His general interests include the application of machine learning in scientific discovery.
Research Area
Education
Ph.D., Ghent University, Belgium
Publications
1. Karimian, H.R. Pollard, K. Moore, M. J. And Kordjamshidi, P., Neural Learning Representations to Augment Statistical Analysis of Drug Treatment Effects on Bioengineered Microphysiological Nerve Tissue, The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), Health Intelligence, February 7-12, 2020.
2. Karimian, H.R. Pollard, K. Moore, M. J. And Kordjamshidi, P., Semantic Segmentation of Microengineered Neural Tissues, There 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 955-960, 2019.
3. Karimian, H.R. Rouhanizadeh, B. Jafari, A. And Kermanshachi, S., A Machine Learning Framework to Identify Employees at Risk of Wage Inequality: U.S. Department of Transportation Case Study, ASCE International Conference on Computing in Civil Engineering 2019. pp. 26-34, 2019.
4. Karimian, H.R., Contributions to the study of shear-free and of purely radiative perfect fluids in general relativity, Ghent University, Belgium, 2012
5. Van den Bergh, N. Carminati, J. and Karimian, H. R., Shear-free perfect fluids with solenoidal magnetic curvature and a γ-law equation of state, Classical and quantum gravity, vol. 24, issue.14, pp: 3735, 2007
Primary Department
