Dr. Paul Zarda has Given an Abstract Explanation about the Large Elastic Deformations of RBCs

Dr. Paul Zarda is a well-versed professional who gave a theoretical explanation about the large elastic deformations of red blood cells (RBCs) more than 4 decades ago. This abstract was given after he thoroughly computed a hypothetical model of an RBC membrane. The process included the elasticity of the membrane that was put under constant tension in its own plane and bending elasticity.

A variation of the concept was implemented during the analysis by utilizing a finite element method. The several levels of sphering were calculated and were compared accordingly with experimental measurements.

In addition to this, Paul Zarda is a diligent professional who has many years of work experience at Lockheed Martin. His responsibilities at Lockheed Martin fall into 4 major categories -

Manager of the Engineering Methods Group

Member of the Technical Staff assigned to Research and Technology in Technical Operations

Program Manager of the Web-based Design Environment contract with the Wright Patterson Air Force Base (WPAFB)

Program Manager of the Supersonic Hypersonic Vehicle Design contract with WPAFB

Dr. Paul Zarda of Sanford holds a number of accomplishments under his belt in Lockheed Martin, which includes -

In the year 1980, he received MSC/NASTRAN for structural analysis on the IBM 3084 system. This gradually changed the way structural analysis was to be performed over the next 19 years.

In 1982, he acquired a SUPERTAB, which was a pre or post on IBM 3084. This significantly increased the productivity of all analysts at Martin. This software’s longevity has proven its worth.

He participated in the acquisition and solicitation of first VAX 11/780 that was acquired by Lockheed Martin. He was also responsible for the acquisition of MSC/NASTRAN, SDRC’s SUPERTAB, and the solid modeler GEOMOD for the VAX system.

He was responsible for moving the engineering community to workstations, resulting in a significant increase in productivity and computational capability.

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