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:
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.
| Certificates | ||
| Dr. Athi Narayanan | Sandhya Harikumar | Adithya Shankar |
| Aditya Menon | Akshay T. S. | Anirudh |
| Rohit Satyajit | Sai Kalyan | Vishnu |
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).
| S. No. | Roll Number | Name | Branch | Remarks | Thesis Title |
| 1 | AM.EN.D*CSE14177 | Prabhakar Krishnan | CSE | Open Defense Completed | Software-Defined Network Function Virtualization Framework for Securing Cloud-to-Edge, IoT and 5G Networks. |
| 2 | AM.EN.D*CSE12103 | Sujadevi V. G. | CSE | Open Defense Completed | Towards Efficient and Accurate Interpretation of Biosignals |
| 3 | AM.EN.D*CSE11067 | Sandhya S. Pillai | CSE | Open Defense Completed | In-database Analytics for Efficient Approximate Query Processing on High Dimensional Databases. |
| 4 | CB.EN.D*CSE16009 | Thushara M. G. | CSA | Open Defense Completed | Static Analysis For Critical Numerical Accuracy in Floating-point Programs. |
| 5 | AM.EN.D*CSE 13132 | Jose James | CSE | Convocated on September 7, 2019 | Multi-point Haptics for Motor Skill Training Simulations |
| 6 | AM.EN.D*CSE09036 | Geetha M. | CSE | Convocated on September 7, 2019 | Methodology For Continuous Sign Language Recognition With Focus On Movement Epenthesis Segmentation |
| 7 | AM.BT.D*CSE08029 | Manjusha Nair M. | CSA | Convocated on September 7, 2019 | Mathematical Modelling And InformationTheoretic Analysis Of Cerebellum Input Layer Computations. |
| 8 | AM.EN.D*CSE12102 | Jinesh M. K. | CSE | Convocated on August 31, 2018 | Temporal Constrained Objects: Semantics, Application, and Implementation |
| 9 | AM.EN.D*CSE 12104 | Prabaharan | CSE | Convocated on September 10, 2017 | Scalable Framework For Cyber Threat Situational Awareness Using Domain Name Systems And Border Gateway Protocal Data Analysis |
| 10 | AM.EN.D*CSE11097 | Athi Narayanan S. | CSE | Convocated on August, 2016 | Automated Estimation of Head Poses For Attention Analysis |
| 11 | AM.EN.D*CSE09054 | Swaminathan J. | CSE | Convocated on August, 2016 | Program Behavior Summarization: Extracting Models from Java Execution Traces |
| 12 | AM.EN.D*CSE11085 | Prema Nedungadi | CSE | Convocated on August, 2016 | Framework and Models for Personalized Formative Evaluation in Adaptive Learning Systems. |
| 13 | AM.EN.D*CSE08024 | Jayaraj Poroor | CSE | Convocated on May, 2012 | Formal Frameworks for Protocol Behaviour in Mobile and Embedded Systems |
Research groups at Amrita School of Computing Amritapuri are dedicated to meeting the ever-changing needs of society through our innovative projects. Our focus spans across diverse research areas, encompassing multiple disciplines, to create a meaningful impact.
Artificial Intelligence and Distributed System
Through experimental research and analysis, we explore the latest developments in distributed and networking systems. We establish platforms for data management, communication, and semantic information retrieval in distributed environments. Our work in this field contributes to important Sustainable Development Goals (SDGs) such as healthcare, poverty reduction, and education.
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Computational Biosciences
Our interdisciplinary research and education initiatives combine computation and biomedical sciences. By integrating these fields into our curriculum, teaching, and research, we empower researchers to collaborate effectively and share their knowledge with the broader scientific community. We apply these skills to improve human health and deepen
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Computer Vision and Robotics
Our focus in this area is to promote applied research and development in computer vision and robotics to address significant societal challenges. By leveraging these technologies, we tackle problems related to agriculture, healthcare, assisted living, surveillance and safety, collaborative robotics, and remote sensing.
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AI and Disability Studies
We investigate the intersection of artificial intelligence and disability studies, aiming to enhance the lives of individuals with disabilities through innovative technologies and solutions.
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Computational Linguistics and Indic Studies
The vision of the TAG is to build Indic datasets and enhance computational models for a broad set of problems in the areas of Linguistic analysis, Speech recognition systems, social media analytics, Health care, and low resource Indic Languages. We envisage mining Indic linguistics with modern computational approaches for insights into latent Indian scriptures.
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Algorithms and Computing Systems
The purpose of this TAG is advance the state-of-the-art in thematic areas that include Programming Languages, Program analysis, Concurrency, Design patterns, Theoretical Computer Science (including rigorous mathematical analysis of algorithms), Visualization, Debugging and Analysis, Formal Methods, Complex networks, Graph theory and Combinatorics, that leads to increase in the quality and quantity of publications, by skill building, and improving collaborations with experts in industry and academia.
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