Stanford Advisors


Current Research and Scholarly Interests


I work on multiscale stochastic modeling of granular materials. I introduce randomness in deterministic equations to account for subscale physics and microstructural heterogeneity. The problem is tackled using various uncertainty quantification techniques such as Multilevel Monte Carlo, the PDF method and moments equations. Furthermore, I develop stochastic differential equations that address the chaotic nature of granular systems.

All Publications


  • Microstructural heterogeneity drives reaction initiation in granular materials APPLIED PHYSICS LETTERS Bakarji, J., Tartakovsky, D. M. 2019; 114 (25)

    View details for DOI 10.1063/1.5108902

    View details for Web of Science ID 000474433800038

  • Agent-Based Socio-Hydrological Hybrid Modeling for Water Resource Management WATER RESOURCES MANAGEMENT Bakarji, J., O'Malley, D., Vesselinov, V. V. 2017; 31 (12): 3881–98
  • On the use of reverse Brownian motion to accelerate hybrid simulations JOURNAL OF COMPUTATIONAL PHYSICS Bakarji, J., Tartakovsky, D. M. 2017; 334: 68-80
  • Social Isolation and Medicare Spending: Among Older Adults, Objective Isolation Increases Expenditures While Loneliness Does Not Journal of Aging and Health Shaw, J. G., Farid, M., Noel-Miller, C., Joseph, N., Houser, A., Asch, S. M., Bhattacharya, J., Flowers, L. 2017; 29 (7): 1119-1143

    Abstract

    Evaluate objective isolation and loneliness' impact on Medicare spending and outcomes.We linked Health and Retirement Study data to Medicare claims to analyze objective isolation (scaled composite of social contacts and network) and loneliness (positive response to 3-item loneliness scale) as predictors of subsequent Medicare spending. In multivariable regression adjusting for health and demographics, we determined marginal differences in Medicare expenditures. Secondary outcomes included spending by setting, and mortality.Objective isolation predicts greater spending, $1,644(p<0.001) per beneficiary annually, whereas loneliness predicts reduced spending, -$768(p<0.001). Increased spending concentrated in inpatient and nursing-home (SNF) care; despite more healthcare, objectively isolated beneficiaries had 31%(p<0.001) greater risk of death. Loneliness did not predict SNF use nor mortality, but predicted slightly less inpatient and outpatient care.Objectively isolated seniors have higher Medicare spending, driven by increased hospitalization and institutionalization, and face greater mortality. Policies supporting social connectedness could reap significant savings.

    View details for DOI 10.1177/0898264317703559

    View details for PubMedCentralID PMC5847278

  • A Reduced-Order Model of a Microfluidic Transistor ASME 2013 International Mechanical Engineering Congress and Exposition Bakarji, J., Keniar, K., Cheikh, M., Lakkis, I. 2013

    View details for DOI 10.1115/IMECE2013-63711