Meeting with ICFD developer LSTC, Livermore

Part of EinNel’s US visit included a fruitful meeting with Dr.Facundo Del Pin at LSTC office, Livermore. Dr.Facundo was one among the developers of ICFD solver in LS-DYNA. EinNel has been LS-DYNA  users since a long while and the meeting helped us to strengthen the bond with LSTC for our future endeavors and missions.

Mr. Albert Einstein and his team with Dr. Facundo Del Pin (extreme left) at LSTC office, Livermore USA

Mr. Albert Einstein and his team with Dr. Facundo Del Pin (extreme left) at LSTC office, Livermore USA

EinNel CSR Program

Corporate Social Responsibility of EinNel

Business has a responsibility to give back to the community

As an initiative with respect to EinNel’s Corporate Social Responsibility(CSR), a team of 15 members visited an orphanage “The New Hope & New Life Charity”, Perumbakkam on October 17th 2015. With immense pride and pleasure we share our gratitude to our employees who actively took part and contributed to the success of the event.


Bridging the gap between Clinicians & Engineers

One small step for man, One giant leap for mankind.

– Neil Armstrong

EinNel Bioscience team aims to bring down the gap between Clinicians & Engineers for the betterment in diagnosis and treatment. As an effort in this regard we initiated a meeting with Dr. Prithika Chary, Senior Consultant Neurologist & Neurosurgeon in Kauvery Hospital on the International Epilepsy Day, which falls on the second Monday of February every year and it happened to be Feb 9 this year.

EinNel Bio-science team with Dr.Prithika Chary during the International Epilepsy Day Function in Kauvery Hospital

EinNel Bioscience team with Dr.Prithika Chary during the International Epilepsy Day Function in Kauvery Hospital


The Science of Prediction

In the present scenario where Computational physics and Numerical methods have seeped into all strata globally, the roles a Simulation Engineer plays are numerous and the responsibility enthroned on him is challenging.

Simulation Engineer alias Foreteller

Though the caption appears a little funny, the work of a Simulation engineer, a weather forecaster or an economist, all comes under the same job title ‘Foreteller’. What distinguishes a Simulation engineer is that his predictions will be scrutinized terribly by his geeky audience unlike the predictions made by others, for that matter a bad weather forecast is soon forgotten unless it misses to predict a Tsunami or hurricane. But the case is different for a Simulation engineer; a minor flaw in prediction can have enormous adverse outcomes.

Simulation Engineer alias Surgeon

To make the situation worse if the prediction done is for a novel implant design or surgery in humans, the results have equal chances to prove it a life saving or a life threatening one. In Medical field, when a Simulation engineer deals with a virtual surgery no less is his duty from that of a Surgeon in real. He is supposed to set up a realistic model without limiting the economic and practical constraints. He is expected to minimize even the minute errors.

The Fear Game

Many for sure would have reconsidered their career idea from becoming a Surgeon to their next priority in list because of the fear of committing mistakes in surgery that can cost life. Weird is the situation when such an escapist get to become a Biomedical Simulation engineer! He is expected to take up the challenge and endure the fear, whether he likes it or not. Both Simulation engineer and Surgeon play with cells; while the former is specialist of computational cells, the latter is of living human cells. Either task is equally difficult in diverse aspects.

Difficult but never Impossible

Prediction is undoubtedly a tough job, especially if it’s about the future, but never Impossible. With a vivid understanding about the complexity of the system, its underlying science partnered with a no-compromise urge to perfection shall get the job done. As the saying goes ‘Well begun is half done’, if one could solve the problem in his head even before setting up his model he can take it for granted that his work is half done.


Though a perfect prediction is still an ideal case and is likely to remain so, one could always improve his prediction accuracy through continuous critical review and assessment.

Perfection is not attainable, but if we chase perfection we can catch excellence.