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Research Expertise

  • Computer Intelligence and Information System
    • Applications of CI in image and video processing
    • Predictive Analysis/Algorithms Computational Finance
    • Evolutionary Computation
    • Machine Learning
    • Pervasive Systems
    • Information Retrieval
    • Multimedia Indexing
    Wireless Computing
    • Cognitive Radio
    • Wireless personal medical devices
    • Mobile Adhoc and Wireless Sensor Networks
    • Secure storage and retrieval techniques for Large scale Distributed Systems
    • Data Aggregation in Wireless Sensor Networks
    • Performance enhancement of web servers
    • Encryption/ Decryption techniques, Coding Theory
    • Circumventing DDoS in Web servers
    • Smart Grids
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Computer Vision and Image Processing(CVIP)
  • Medical Image Analysis
  • Machine Vision
  • Image and Video Pattern recognition/analysis
  • Managing Multimedia Databases
  • Image Registration and Fusion
  • Multimedia Data Hiding
  • Image and Video forgery detection
  • Content and Context based image retrieval
  • Image and Video annotation
  • Video summarization
  • Moving and static Object identification, recognition and tracking

Projects

 

Name of the Projects Principal
Investigator/
Co-Principal Investigator 
Name of the Funding Agency Project Grant/
Assistance
Duration of the Project Year of Sanction Status Year of Completion
Neuro Evolution based Convolutional Neural Networks Compression for Hardware Performance Optimization Dr. C. Shunmuga Velayutham
Dr. G. Jeyakumar
Dr. S. Thangavelu
Multicoreware Rs. 8,00,000 1 Year 2022
Dec
Ongoing
Improving the video encoding technique in text embedded videos using visual attention models Dr. R. Aarthi
Dr. S. Padmavathy
Multicoreware Rs. 8,00,000 1 year 2022
Dec
Ongoing
Pose Estimation with Fall Detection for Elderly people Dr. T. Senthil Kumar
Dr. O. K. Shika
Dr. G. Jeyakumar
Dr. Madhusudana Rao Nalluri
Multicoreware Rs. 8,00,000 1 Year 2022
Dec
Ongoing
An Edge-based Cyber-Physical System for Smart Polyhouse Solar Drying of Agricultural Food Products Dr. R. Gowtham
Dr. Vidhya Balasubramanian
Dr. C. Shunmugha Velayutham
Dr. R. Karthi
Dr. V. Ananthanarayanan
Dr. B. Janci Rani
Sony Rs. 13,90,350 1 Year 2022
Sep
Ongoing
Network Security Virtual Lab Dr.Ritwik M
Dr.M.Senthil Kumar
Dr. Sriram Sankaran
Virtual Lab Rs. 20,00,000 1 year till sep 2023 2022
Aug
Ongoing
Object Oriented Programming (OOP) Virtual Lab Ms. Nalinadevi K
Mr. Ritwik M
Ms. Suchitra M
Virtual Lab Rs. 20,00,000 1 year till sep 2023 2022
Aug
Ongoing
Software test case repository maintenance automation using AI Dr.C.Arunkumar
Dr.B.A.Sabarish
LAM Research Rs. 40,00,000 1 Year 2022
April
Completed 2023
April
An Edge-based Cyber-Physical System for Smart Polyhouse Solar Drying of Agricultural Food Products Dr. R. Gowtham
Dr. Vidhya Balasubramanian
Dr. C. Shunmugha Velayutham
Dr. R. Karthi
Dr. V. Ananthanarayanan
Dr. B. Janci Rani
Sony Rs. 17,00,000 1 Year 2021
Aug
Completed 2022
Aug
Enhancement of livelihood for scheduled caste households through an ICT Enabled Integrated Rural Nutrition Centre in Madukkarai block of Coimbatore District, Tamil Nadu. Dr. P. R Janci
Dr. Vidhya Balasubramanian
Dr. B. Rajathilagam
Dr. N.M Dhanya
DST, SEED STI HUB Year 1 – Rs. 17,89,251
Year 2 – Rs. 6,01,172
Year 3 – Rs. 6,51,420
Total – Rs. 30,41,843
3 Years 2020
March
Completed 2023
March
AYUSH Unit Converter Dr. Senthilkumar M. Ministry of Human Resource Development, Government of India Rs. 3,00,000 1 year 2019
August
Completed 2020
October
A Behavioral Study of Ransomware – TO Develop a Generic Mitigation System Dr. Gowtham Ramesh Science and Engineering Research Board (SERB) Rs. 1,80,000 3 years 2019
June
Completed 2022
June
Technology inputs in promoting indigenous food recipes of Irulas and Kurumbas tribes and empowering disadvantaged youth of Masinagudi and Ebbanad village of The Nilgiri District Dr. T. Senthil Kumar,
Dr. S. Rajendra Kumar,
Dr. Udhaya Kumar
Ministry of Tribal Affairs Rs. 9,52,780 1 year 2017
December
Completed 2019
A study on the utilization of student welfare schemes offered by Government of Tamil Nadu in Coimbatore district Dr. Gowtham. R.,
Dr. Prakash P.,
Mr. M. Vamsee Krishna Kiran,
Ms. R. Archanaa
Indian Council Of Social Science Research Rs. 1,00,000 1 year 2017
March
Completed 2018
March
Automation of Transport and Building Feature Extraction using Deep Learning with Super-Resolution Enhancement of Satellite Imagery Dr. B. Rajathilagam ISRO-RESPOND Rs. 28.56 Lakhs 2 years 2017 Ongoing
A Service – Oriented Pervasive Framework for Smart Hospitals Dr. Vidhya Balasubramanian,
Dr. G. Jeyakumar,
Dr. C. K. Shyamala
NRDMS/DST Rs 46,10,000 Lakhs
(Rs 30,00,000 for year1)
2 year 2016
July
Completed 2019
May
Predictive Modeling of Complex IT systems Mr. Prashant R. Nair,
Dr. M. Sethumadhavan
DRDO Rs. 24,10,000 1 year April
2014
Completed 2015
December
Indoor Information Representation and Management System Dr. VidhyaBalasubramanian,
Dr. Latha Parameswaran
DST India Rs. 51,30,000 3 years 2012 Completed 2015
A Framework for event modeling and detection for Smart Buildings using Vision Systems Dr. Latha Parameswaran,
Dr. T. Senthil Kumar
DST (NRDMS) Rs 40,64 ,500 2 year 2012 Completed 2015

Collaborative Research

 

Amrita Institute of Medical Sciences (AIMS)

Faculty memebrs of the department have taken up research projects in collaboration with Amrita Institute of Medical Sciences, a multi and super speciality hospital in Cochin. The students of the specialized programme M.Tech in Computer Vision and Image Processign have an excellent opportunity to work in these real time projects. Medical Image Processing is the thrust in this research. A few of these projects are given below. These projects are an eye opener to inter disciplinary research.

AMRITA-VIRTUAL INTERACTIVE E-LEARNING WORLD (A-VIEW)

CYBER SECURITY

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Resources

The department of CSE has set up a few labs in order to carry out research in the identfied thrust areas. These labs have facilites to conduct research at all levels. Students from Undergraduate and Postgraduate programmes are actively involved in this lab to do research. Also research scholars and faculty members guide these students to do research in these labs. We aim at setting up a reseach hub that would eventually become a center of excellence.

Amrita Mobile Ubiquitous & Distributed Applications Lab (AMUDA Lab)

AMUDA Lab has been set up to enable multidisciplinary research focusing on building large-scale cyber-physical systems for the design of sustainable intelligent buildings, providing timely healthcare, and enhancing the use of technology in agriculture. Cyber-physical systems combine sensor networks with embedded computing technologies to monitor and intelligently control the physical environment. Designing CPS systems is challenging as it addresses the algorithmic technique for distributed sensing, integration, and learning.

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Amrita-Cognizant Innovation (AmCoiL) Laboratory

This lab was established in the year 2012 with the support of Cognizant Technology solutions, India. Amrita Cognizant Innovation Lab has been setup to conduct research in the areas of Computer Vision and Image Processing, Security, and Wireless Sensor Network.

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Mobile and Wireless Networks Laboratory

Mobile and Wireless Networks Laboratory (MWN Laboratory) is functioning under the department of Computer Science and Engineering of Amrita School of Engineering, Coimbatore. MWN Lab caters to the needs of various hardware and software modules for Undergraduate, Graduate Students and Research Scholars of CSE, ECE and EEE departments to carry out their research works in the domain of Mobile and Wireless Networks.

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SiGMA – Signal Processing, Machine Learning and Artificial Intelligence Research Lab

SiGMA Lab is a research laboratory in the Department of Computer Science and Engineering that promotes research on Signal Processing, GPU Computing and Mobile Applications. Thrust areas include innovative signal processing applications, higher dimensional signal analysis algorithms and their adaptation to Mobile platform. Multimedia signal processing that contain structurally parallel data flows and involve iterative, computationally intensive, and time-consuming mathematical operations are the focus.

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A framework for event modeling and detection for Smart Buildings using Vision Systems

With the government of India’s focus on “Digital India”, building Smart Cities is one of its major initiative. For smart cities to be built or renovated, it is essential that the existing buildings and infrastructure become smarter. In this project we aim to develop a software framework on which applications can be developed for buildings, to respond to emergencies and disaster management. In this context we refer building to include indoor spaces (rooms/halls/closed areas) and outdoor spaces (floors, stair cases, corridors, open spaces). Pervasive systems are necessary to make existing buildings smarter and to respond to emergencies. Ability to identify critical events, assets and people and answer to queries about their location in a building is critical to many applications; integrating object recognition with spatiotemporal analysis enhances the system to handle crisis. Major aspects that are essential for such an aspect of smart building are:

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  • Identify events in a building: Locating crowded areas, identifying events such as fire, rain, smoke, electric burst, water burst are some of the major events in a building; detecting anomalies like unexpected overcrowding is of high importance. This is of high significance for security, disaster management and to manage resources at prime locations;
  • Object Identification and tracking: Identifying objects which are extremely significant such as major assets (in terms of cost and usage value); tracking their movement is equally important to help people to locate the objects in emergencies.
  • In this project, we aim to make existing buildings smarter and intelligent by developing algorithms with data from low-cost vision systems. We shall also consider the standards available in OGC to model such events and represent the voluminous data.
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In this project, we aim to make existing buildings smarter and intelligent by developing algorithms with data from low-cost vision systems. We shall also consider the standards available in OGC to model such events and represent the voluminous data.

Specific Use cases: This proposed project will be more useful in places like hospitals, large University campuses, shopping malls where a large number of people and objects move from time to time. In these places the above mentioned aspects are of high significance.

Though many researchers have developed algorithms or techniques or methods to perform event detection, object identification and tracking, most of them have developed and tested it for a known dataset (or a publicly available dataset). Very less work has been reported on such techniques for a real-time environment. Thus in Indian context, our proposed project and research will be significant, as we are planning to develop and deploy this in an existing building, thus making it become “smarter” to cater to safety of people. In precise, this work will focus on safety and security of people and objects in a building and to connect to first responders in case of emergencies.

The proposed system includes setting up cameras and vision systems in a building, developing smart applications that run over this infrastructure and the underlying database system to record events and the videos. The major components of this project would be:

Setting up vision systems: This would be required to detect events, objects, people, identify location, and monitor the infrastructure. There are a variety of cameras and vision systems available in the market such as night vision cameras, IP cameras, thermal imaging cameras, web cameras etc. Our goal is to utilize the experience we have gained from our pervious project Indoor Information Representation and Management System (IIRMS) project funded by NRDMS, DST where some work on event detection has been done [19]. Identifying suitable cameras and selecting the appropriate locations for day and night vision will be the highest priority.

Developing Applications: Once the infrastructure is set, we propose to develop efficient algorithms for object identification and tracking; unusual event detection and raising alarms/ warnings.

At the end of the project, we plan to have a complete study suggesting the best location for placing cameras/ vision systems for a smart building, a framework for configuring vision systems, a suite of algorithms to support object identification and tracking and specific events detection.

Key words: Event detection, image and video sequences, people tracking, vision systems

Objectives:

The broad objective of this project is to develop a) a framework for smart buildings that supports efficient indoor tracking algorithms for detecting events such as crowded areas, fire, smoke etc. using vision systems b) identification and tracking of moving objects over indoor spaces. This framework will complement the indoor information system developed as a part of the earlier IIRMS project funded by DST. We shall also explore integration of standards like SWE over IndoorGML and extending IndoorGML to include representation of objects and event is another important goal, which can help standardize the smart building applications. Specific objectives include the following, efficient algorithms will be developed, tested and deployed:

Specific Objective 1: Develop algorithms and build application for identifying unexpected events like locating crowded areas, fire detection, rain detection, smoke detection, electrical burst, and water burst in a given building.

Specific Objective 2: Develop algorithms and build application for identifying major assets and tracking their movement from one place to another from time to time (spatiotemporal) in this environment.

Computational thinking for Research and Education (CORE) Lab

The CORE Lab is an initiative by an Interest Group from the Computer Science and Engineering department in an attempt to transfer learning process from classrooms to practical domains. The lab offers opportunities and mentorship for students to strategically approach and solve problems the Computational Thinking way. This is the first lab of its kind in the country that sets a personal timeline for students to explore, experiment and learn by integrating theory and practice using computational thinking strategies.

For details on projects, talks, research activities, etc. please contact corelab@cb.amrita.edu

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Smart Spaces Lab

With the government of India’s focus on “Digital India”, building Smart Cities is one of its major initiative. For smart cities to be built or renovated, it is essential that the existing buildings and infrastructure become smarter. In this project we aim to develop a software framework on which applications can be developed for buildings, to respond to emergencies and disaster management.

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