Abstract: In the present situation COVID19 is one of the most challenging threats to the whole world. People in many countries are infected with an exponential rate in case of direct contact. Almost all countries have proposed their best measures and strict policies for breaking the speed of COVID19. The whole world taking such restrictive steps like lock-down, border closing, partial, and full closing of all kinds of private and public institutes to control the coronavirus spreading. Now, every county is falling under a forthcoming economic crisis due to economic restrictions and the increase of COVID19 cases. In my thesis, one of the parts we proposed was a link prediction model based on knowledge graph embedding that can trace the contact of COVID19 positive patients and keeping them quarantined so that they are not spread to others. On the other hand, nowadays, lots of exertion has been spent on looking into collaboration recommendations because of the quick development of science and innovation, a lot of continually refreshed scientific accomplishments containing inventive information can be procured and used to take care of issues. The endorsement of the cross-disciplinary scientific alliance has also been demonstrated by scientific research and technological modernization in recent times. Moreover, enormous data have generated every second that can be difficult for representing traditional techniques. In this paper we used a state-of-the-art data representing technique named Knowledge Graph for building a cross disciplinarian author recommendation system. (Defense Date: 9 June 2020)

Abstract: MapReduce is a programming model and an associated implementation for processing and generating large data sets with a parallel, distributed algorithm on a cluster. For processing and generating data its implemented work procedure or algorithm takes more time for result. Its implemented algorithm has few steps for processing data. Try to reduce one step and the expected result will be faster. (Defense Date : 28 December 2016)

Sayed Abul Hossain College (2009-2011), Khowajpur, Madaripur, Group: Science, GPA: 5.00 out of 5.00

Angaria High School 2004-2009 Angaria, Shariatpur, Group: Science, GPA: 4.81 out of 5.00

1999-2003, Kashavog Primary Govt. School, Kashvog, Angaria, Shariatpur