Dr. Majid Pourabdian

-- Led digital transformation projects in global pharma and life sciences R&D, focusing on data integration, analytics, and workflow automation. -- Collaborated with clients to design and implement enterprise-grade IT solutions, data strategies, governance frameworks, and digital roadmaps. -- Conducted process harmonization, audits, and software QA acceptance, improving delivery consistency across 7+ project teams in the organization.

-Delivered 10+ large-scale multi-year projects enhancing data integrity, quality, and analytics for major pharma and animal health clients. -Consulted clients on digital transformation, and regulatory compliance. -Certified Scrum Master -Project Manager -Test & Release Manager -Performed process design (as-is / to-be), IT landscape mapping, and led RFI/RFP process and documentation for IT systems selection.

Tasks: -- Development of efficient algorithms and new linear inverse methods for solar seismology. -- Verification and implementation of the developed methods for inversions of seismic data for solar imaging.

Ph.D. in Physics I did my research in the Computational Helioseismology Lab of the Solar and Stellar Interiors Department. Tasks: -- Focused on data inversion, mathematical modeling, and numerical simulations for solar imaging using regression methods, FEM, and Monte Carlo simulations. -- Processed, analyzed and interpreted the massive seismic data of SDO/HMI and SOHO/MDI (NASA/ESA missions) space data sets. -- Numerical simulations and high-performance computing in helioseismology.

Responsible for coordination of lectures and seminars (multiple sessions each year), yearly gathering meetings and Organization of yearly festival of "Flame Photograph"

Master student researcher in the Multiphase Flows Lab of the Department of Aerospace Engineering. Tasks: Numerical modeling of multiphase flows using meshless methods such as SPH - Developed the open-source code SPHysics for modeling the multiphase flows using SPH method - Simulated the breakup of a continuous liquid jet using SPH method - Simulated laminar and turbulent flows for turbomachinery systems using CFD commercial softwares

Tasks: Simulation of thermodynamic processes and cycles - Computing thermodynamic properties using Simulink, GasTurb, EES, CATT

Tasks: Responsible for inviting CEOs and field-related experts for technical meetings - The workload was on average about 6-8 hours per week

Helioseismology, Inverse Problems, Imaging, Optimization, Numerical simulation, Data analysis, Finite Element Method (FEM), Thesis: Inverse Problems in Local Helioseismology

Aero-propulsion, Multiphase Flows, Thesis: Numerical modeling of liquid jet breakup using smoothed particle hydrodynamics (SPH)

Thesis: Aerodynamic simulation of the flow over an aircraft