NIT-K, Surathkal faces the challenge of a pandemic
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MANGALURU: The pandemic has dampened NITK Surathkal, which was in a festive mood to celebrate its diamond anniversary. K Umamaheshwar Rao, director of the institution, said she had turned the challenges of the pandemic into opportunities.

The institution’s Diamond Anniversary Year (2019-2020) celebrations began on August 6, 2019. The celebrations should culminate in grandeur last month, but the pandemic is a hurdle.

Rao said that despite the closure of the institution and the halt in academic activity, the NITK turned the pandemic’s challenges into opportunities. “Academic and research activities were badly affected as students had to leave campus. But as the saying goes, “When it gets difficult, it becomes difficult!” In times of crisis, real leaders show their talents as the collective leadership led by K Balaveera Reddy, chairman of our board of directors, has shown of governors, “he said.

The NITK brotherhood demonstrated innovative solutions to address the challenges of the pandemic. Rao said that as a first step in that direction, it was decided to use IT tools to conduct academic activities online. Since April 2020, conducting academics online at the NITK has become a new normal. The institution has indigenously developed an online MIS platform for the delivery of lectures, known as the Integrated Resource and Information Exchange System (IRIS), which can be used by students and faculties using the MoE.

Rao said that as part of its commitment to social responsibility, NITK has made important contributions in the form of the design and manufacture of 3D printed ventilation components, face masks with N95 filters, face guards, hand sanitizers and apps to ensure migrant workers travel safely. to alleviate the hardship caused by Covid-19. The “Saral” app was developed by Chitransh Lodha, an electrical engineering student last year, in collaboration with the Bokaro district administration. This app is extremely useful for finding migrant workers stranded in cities, classifying their occupations, identifying their arrival points, and then monitoring them.

The Department of Computer Science and Engineering (CSE) has developed an interactive app that uses models based on deep learning, specifically a recursive neural network (RNN). It takes real data from all countries where the pandemic has occurred for more than 90 days (currently more than 160 days) and uses that as the basis for predicting how the pandemic will spread. The algorithm is able to make predictions and can now look twenty days into the future. This work is funded in part by Google Cloud Covid-19 credits. You awarded $ 10,000 cloud credits for this work. “The NITK faculty and students continue their ongoing efforts to continue to support government and society at large in addressing the challenges of the pandemic,” he said.

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