Research

Research

The research at the department aims to take up projects meeting to the needs of the society . The department’s research efforts are improved by collaborations with leading research universities and industries around the world. The department currenly focuses on the following major thrust areas for research:

• Bioinformatics
• Wireless Sensor Networks
• Digital Image Processing
• Artificial Intelligence
• Machine Learning

• Dr. Jayaraj Poroor collaborated with Microsoft Research (India) project title: A Language-based Operating System for Intelligent IoT Devices and its low power host motherboard.
• Dr. Vivek Menon was granted the NVIDIA Deep Learning Institute(DLI) University Ambassadorship in December 2018. DLI Ambassadors are a select group of DLI Certified Instructors committed to teach DLI instructor-led workshops and meetups at universities, academic conferences, and events at no cost exclusively for academic students, staff, and researchers.
• Dr. Bhadrachalam Chitturi attended Invited Research Seminar in Algorithm Design and Analysis, June 2018 at University of Texas at Dallas. An efficient algorithm to compute transposition distance between every pair of permutations in Sn. Held at Erik Jonsson School of Engineering & Computer Science, Department of Computer Science, University of Texas at Dallas

Research Projects

• Simi S. as member of Amrita Centre for Wireless networks and applications is working in the project Micronet project Mobile Infrastructure for Coastal Region Offshore Communications & Networks funded by Information Technology Research Academy (ITRA), Department of Electronics & Information Technology, Government of India
• Dr. Athi Narayanan mentored students as part of NTRO project, “Automated System data feeding in Tiki using web-crawling for database updation.”

The developed a tool which is capable of crawling through the website and collect the information regarding the key which is entered by the user. All analysis and visualization were presented through Web Application. Our project involves extracting of data from different sites using web crawlers and display on the page which contains the details regarding the searches the user made. The user needs to enter the key for which he wishes to search and specify the number of sites from which the user wanted to extract the data. The details include the sites URL which is mostly visited by the users using Google search, all the articles present in the site regarding the search which the user made and all the images present in the site regarding the search which the user made. The articles or some of the details regarding the search need not always be in English. The output is displayed in another page i.e. simply a collection of all the details at one place. User can also download the page which he searched for the details of.

• Prof. Sandhya Harikumar mentored students as part of NTRO project.

The objective of the project is to develop a tool which is capable of crawling of news articles from various news sources and facilitate Text Analysis/ Mining of News articles. All analysis and visualization need to be presented through Web Application.

Project Description: Our main focus will be on open-source text data and its analysis.In our project, we shall extract data from RSS or using web crawlers we shall extract data from sites and ingest it into a database. The details included in the article must be recognized and stored (details like name, phone, email etc of the people mentioned in the article, article author, URL, date of the article etc) and the extras should be filtered out. The news-feed need not always be in English. If in any other language, the language is to be identified and using suitable NLP algorithms, the documents can be converted to English language and then stored in the database, along with the original language details. Also in case of redundant articles, the duplicate data is to be eliminated. The end user shall make use of a search engine (preferably Elastic search engine), to retrieve particular data or particular details from the database (for example- based on data collected, details of a person’s location or a person’s phone number). The output shall be displayed using a web interface. If possible, pictorial data can also be used (for example we can use graphs to identify a person’s location).

Candidates Awarded PhD Degree