SRM University AP was center of attraction when its Computer Science and Engineering (CSE) department students got 100 percent placement.
The first-ever placement drive in SRM University AP began last year amid the COVID-19 pandemic.
However, overcoming all the difficulties, the talented engineers of the CSE department found their passion and a job offer according to their will.
SRM University AP
The brilliant students of CSE department of SRM University AP bagged envious offers with the highest salary of Rs 29.5 Lakhs per annum and an average salary of Rs 7.05 Lakhs per annum.
About 71% of the students are placed with Super Dream and Dream offers, which is highly commendable.
Amid the unprecedented crisis, the hiring process was a difficult task to be performed for both the students and the recruiters, say sources from SRM University AP.
Corporate Relations and Career Services (CR&CS), the placement team of SRM University AP has done an excellent job by conducting the placement drive with passion and dedication.
The students of SRM University AP were provided with every support they needed during these trying times.
During their internships and projects in reputed companies, the students had hands-on experience, industry exposure, and became aware of the expectations of the corporate world.
This experience helped the students to prepare for the job interviews.
The numerous training sessions arranged by the CR & CS team for core and soft skill development brushed up their knowledge and personality.
The mock interviews, sessions with corporate experts also assisted the students of SRM University AP in their preparation.
The interdisciplinary modernized curriculum provided the students with in-depth knowledge in their domain, strengthening their basic skills.
Ritika Katragadda, who has been offered the highest package of Rs 29.5 Lakhs Per Annum opined the selection process was tough, but with the extensive knowledge we gained in the classroom studies, I cleared it with ease.
‘The support I received from my professors and CR&CS team is unforgettable.
I am forever grateful to their guidance, for being able to secure such a good offer, said Sai Krishna Rohith, who bagged an offer of Rs 20 lakhs per annum.
Professor Ragunathan is like a father figure to me. I can reach him anytime without any hesitation, even in case of the smallest doubt, said Venkata Sai Nikhith Nagamalla who received an offer of Rs 29.5 lakhs per annum.
All other faculty members were equally supportive, asserted Venkata Sai.
Venkata also received an offer of Rs 29.5 lakhs per annum which is the highest pay package that was offered this year.
Mr Vivekanandan, Assistant Director, Corporate Relations and Career Services at SRM University AP said they have always looked for the best opportunities for their students.
The talent exhibited by the CSE students during the internships, projects, curriculum, and extra-curriculum activities naturally drew the best recruiters to SRM University AP, he said.
SRM University AP has made its name as a reputed tech hub to the recruiters who are searching for the best engineers to recruit, said Professor Raghunathan, associate dean with School of Engineering and Basic Sciences and Head of Computer Science and Engineering department at SRM University AP.
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We are certain that in the coming years, the numbers of top offers will further increase, creating a record in the country, he said.
SRM University AP is founded with the vision to offer quality engineers, entrepreneurs, and professionals to the country, said Professor V. S. Rao, Vice-Chancellor, SRM University AP.
In the first placement drive itself, the university has proved its mettle and has become a favourable destination for top recruiters, he said.
Prediction of waning time
| States | Uttar Pradesh | Delhi | Karnataka | Maharashtra | Andhra Pradesh | Tamil Nadu | Kerala | West Bengal
|
| End-time | May 27 | May 28 | July 1 | July 13 | July 16 | July 26 | August 12 | September 2 |
| Errors | -2 days, + 3 days | -2 days, + 2 days | – 6 days, + 5 days | -7 days, + 7 days | -16 days, + 28 days | -17 days, + 33 days | -14 days, + 14 days | -30 days, + 30 days |
Faculty and students of SRM University AP predicted the waning time of spread of COVID-19 in eight states of India.
In the current pandemic situation, a pertinent question is the estimate of time by which the second wave of COVID – 19 spread could be contained and normalcy would return.
It is in this context, Professor D. Narayana Rao, Pro-Vice Chancellor of SRM University AP initiated the study to predict the end-time of COVID-19 in the states of Uttar Pradesh, Delhi, Karnataka, Maharashtra, Andhra Pradesh, Tamil Nadu, Kerala & West Bengal.
Dr. Soumyajyoti Biswas of SRM University AP along with four B.Tech students – Mr. Anvesh Reddy, Mr. Hanesh Koganti, Mr. Sai Krishna and Mr. Suhas Reddy have carried out an interesting study to predict the end time of the second wave of COVID-19 spread in these states.
Study employed Susceptible – Infected – Recovered (SIR) Model making use of the information on the COVID – 19 affected people and the number of recovered people, the data which the state governments make them available.
SRM University AP team made use of these data employed SIR Model and applied the methods of Machine Learning.
End-time is defined as the date on which the number of COVID-19 affected cases get reduced to 5 percent of the peak number of cases occurred in the particular state.
The model is also validated with the actuals occurred in the States of Delhi and Uttar Pradesh.
The validation mentioned of the end-times of the second wave of COVID-19 spread increases our confidence level to the predictions made for other states also.
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It can be noticed that in the states of West Bengal, Kerala, Tamil Nadu and Andhra Pradesh, the second wave of COVID-19 continues to spread for longer periods and errors are large compared to the other states of Uttar Pradesh, Delhi, Karnataka, and Maharashtra.
Perhaps, these factors could be attributed to the large gatherings that have occurred in the four states on several occasions.
Professor Narayana Rao said that these predictions could help in estimating the impact on medium and small business sectors.
In the education sector, it could help in planning the academic sessions, examinations, etc.
It could also help to plan necessary medical infrastructure for healthcare in different states.
The details of the study can be found in [2105.13288] Machine learning predictions of COVID-19 second wave end-times in Indian states (arxiv.org).