Lija Mohana

Work place: Division of Computer Science, Cochin University of Science & Technology, Kerala, India



Research Interests: Computational Science and Engineering, Computational Engineering, Software Construction, Software Engineering, Engineering


Lija Mohan (born April 4, 1988) is an Academician and Researcher who is very much interested in High Performance Computing Domain. She is more interested in Big Data Analytics and have done several projects based on that. She is a University rank holder for both Masters in Computer Science and Bachelors in Computer Science Engineering. She has published several research works and handles sessions during Big Data workshops. She has got sufficient experience as a software engineer and teacher. She has won several fellowships and research grants including Windows Azure Research Grant.

Author Articles
A Novel Big Data Approach to Classify Bank Customers - Solution by Combining PIG, R and Hadoop

By Lija Mohana Sudheep Elayidom M.

DOI:, Pub. Date: 8 Sep. 2016

Large amount of data that is characterized by its volume, velocity, veracity, value and variety is termed Big Data. Extracting hidden patterns, customer preferences, market trends, unknown correlations, or any other useful business information from large collection of structured or unstructured data set is called Big Data analysis. This article explores the scope of analyzing bank transaction data to categorize customers which could help the bank in efficient marketing, improved customer service, better operational efficiency, increased profit and many other hidden benefits. Instead of relying on a single technology to process large scale data, we make use of a combination of strategies like Hadoop, PIG, R etc for efficient analysis. RHadoop is an upcoming research trend for Big Data analysis, as R is a very efficient and easy to code, data analysis and visualization tool compared to traditional MapReduce program. K-Means is chosen as the clustering algorithm for classification.

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A Practical Scheme for Implementing Client Side Encryptions and Decryptions

By Lija Mohana Sudheep Elayidom M.

DOI:, Pub. Date: 8 Sep. 2015

The amount of data that is generated each day is rapidly increasing so that the traditional ways of data storage seems to be inadequate. Cloud Computing has helped a lot to solve the storage issues but fear of data leakage hinders its widespread acceptance. Even though the public clouds like Amazon, Google etc store the data in encrypted form, data loss can still occur during transmission. The only practical solution is to upload encrypted data to cloud. Hence users should have an additional software or application to encrypt the data before uploading and decrypt the data after retrieval. This article analyzes different solutions for implementing such applications. The article also describes about the cryptographic primitives that can be added for enforcing security.

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Other Articles