My friends call me Deb
Large Scale Social Media Data Analytics, Machine Learning and Data Mining techniques, Deep Learning, Bayesian Learning, Text Analytics, Indexing techniques, Data Visualization.
Room 2780 WEB building
72 S. Central Campus Drive
School of Computing, University of Utah
Salt Lake City, UT 84112
Master of Technology
Computer Science & Engineering
GPA: 8.67/10.0 (Rank: 3)
Bachelor of Technology (Rank < 10)
Computer Science & Engineering
Grid computing is a high performance computing environment to fulfill large-scale computational demands. It can integrate computational as well as storage resources from different networks and geographically dispersed organizations into a high performance computational & storage platform. It is used to solve complex computational-intensive problems, and also provide solution to storage-intensive applications with connected storage resources. Scheduling of user jobs properly on the heterogeneous resources is an important task in a grid computing environment. The main goal of scheduling is to maximize resource utilization, minimize waiting time of jobs, reduce energy consumption, minimize cost to the user after satisfying constraints of jobs and resources. We can trade off between the required level of quality of service, the deadline and the budget of user. In this paper, we propose a Multi-objective Evolution-based Dynamic Scheduler in Grid. Our scheduler have used Multi-objective optimization technique using Genetic algorithm with pareto front approach to find efficient schedules. It explores the search space vividly to avoid stagnation and generate near optimal solution. We propose that our scheduler provides a better grip on most features of grid from perspective of grid owner as well as user. Dynamic grid environment has forced us to make it a real time dynamic scheduler. A job grouping technique is proposed for grouping fine-grained jobs and for ease of computation. Experimentation on different data sets and on various parameters revealed effectiveness of multi- objective scheduling criteria and extraction of performance from grid resource.
In many applications of similarity searching in databases, a set of similar queries appear more frequently. Since it is rare that a query point with its associated parameters (range or number of nearest neighbors) will repeat exactly, intelligent caching mechanisms are required to efficiently answer such queries. In addition, the performance of non-repeating and non-cached queries should not suffer too much either. In this paper, we propose RCached-tree, belonging to the family of R-trees, that aims to solve this problem. In every internal node of the tree up to a certain level, a portion of the space is reserved for storing popular queries and their solutions. For a new query that is encompassed by a cached query, this enables bypassing the traversal of lower levels of the subtree corresponding to the node as the answers can be obtained directly from the result set of the cached query. The struc- ture adapts itself to varying query patterns; new popular queries replace the old cached ones that are not popular any more. Queries that are not popular as well as insertions, deletions and updates are handled in the same manner as in a general R-tree. Experiments show that the RCached-tree can outperform R-tree and other such structures by a signif- icant margin when the proportion of popular queries is 20% or more by reserving 30-40% of the internal nodes as cache.
Though RFID provides automatic object identification, yet it is vulnerable to various security threats that put consumer and organization privacy at stake. In this work, we have considered some existing security protocols of RFID system and analyzed the possible security threats at each level. We have modified those parts of protocol that have security loopholes and thus finally proposed a modified four-level security model that has the potential to provide fortification against security threats.
Spatio-temporal Sentiment Analysis Project estorm.org analyzed the sentiment of common people on US Election. It gained a lot of media coverage. (2016)
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Building a National Neighborhood Dataset From Geotagged Twitter Data for Indicators of Happiness, Diet, and Physical Activity. JMIR 2016. Amassed a lot of media attention.
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Ranked 3rd out of 39 M.Tech students of CSE department in Indian of Institute Technology, Kanpur M.Tech (2011-2013)
Secured All India Rank 228 in GATE 2012 among 1.56 lakh participants of Computer Science & Information Technology department. (2011-2012)
Achieved All India Rank of 7 in Indian Space Research Organization (ISRO) recruitment exam. (2011-2012)
Secured All India Rank 223 in GATE 2011 among 1.36 lakh participants of Computer Science & Information Technology department. (2010-2011)
Amongst top 10 student of CSE department in Institute of Engineering Management, Kolkata, and awarded academic excellence for performance in B.Tech (2007-2011)
Acknowledged as the Best Project by the course professor for “Boosting performance of popular queries” which was done as part of CS618 (Indexing and Searching of Databases) course. (2011-2012)
Got 2nd Rank in Project Fair in Bits to Bytes 2008, in Most Economic Autonomous Line Follower Robot and 3rd position in Dzyan IEM Techfest 2008 in Roborally event.
Awarded 2nd prize for academic excellence in school in Class XII
Awarded 1st prize for academic excellence in school in Class XI
Awarded academic excellence certificate in district level for performance in Board Exam
Labor to keep alive in your breast that little `spark' of celestial fire called conscience - George Washington (First US President) . . Conscience- an easy but deep word which seems to lack with one of the most powerful man of the world. #IYKWIM . . Original: https://flic.kr/p/PQCA5o #spark #innersoul #yosemite #nationalpark #werutah #steelwoolphotography #longexposure #liveurlife #sparkupurlife #conscience