PostDoc Fellow CAMEO Project
at UCD, School of Compute Science
CAMEO seeks to develop a new platform to unlock the potential of Earth Observation (EO) data for non-specialist users. CAMEO will democratize access to EO data and analytics. The platform will be easy to use and provide pre-developed tools to perform analysis relevant to different sectors.
Data Analysis INTERVAL Project
at UCD, School of Architecture, Planning and Environmental Policy
INTERVAL is an INTEgrated stReet tree VALuation based solution for minimising the uneven street tree distribution in cities This research aims to develop a decision support system to increase the street tree density in Dublin City to promote climate neutrality and minimise environmental injustice that originates due to the inequality of street tree distribution.
Web: https://www.sfi.ie/challenges/healthy-environment-all/INTERVAL/
Consumer Data Analysis for Healthy Oats Project
at UCD, School of Agriculture & Food Science,
Food Science Annex of Agriculture and Food Science Centre,
The ‘Healthy Oats’ project – €2.18million of which has been granted from the European Regional Development Fund as part of the Ireland-Wales Cooperation Programme – will also help farmers and industry prepare for the changes pending under the EU Green deal, including reduced use of fertilisers and pesticides.
The researchers will test the resilience and performance of different varieties under reduced and targeted input tillage systems, and will work to identify varieties that have a combination of enhanced performance under low inputs and superior nutritional and health benefits.
Web: https://www.teagasc.ie/news--events/news/2021/healthy-oats.php
Adjunct Research Associate
Working as research associate at Zayed University, Dubai, United Arab Emirates. I am working under a project with Prof. Syed Duani, from Dec 2021. The work mostly focus on applications of DBSCAN clustering algorithm in real word.
Ph.D Dissertation
My dissertation work is in the area of " FAULT AWARE LOAD BALANCING AND LEARNING BASED RESOURCE ALLOCATION IN CLOUD”. This work considers a development of load balancing and scheduling algorithm for cloud IaaS in fault aware environment to improve the performance of system. The work includes development of intelligent algorithm which include genetic and big ban algorithm for resource allocation and load balancing to improve performance and power efficiency of system.
http://shodhganga.inflibnet.ac.in/handle/10603/139676
M.Tech Dissertation
Title: Enhancing Cloud IaaS QoS using Trust management
Description: In this project I have created a real cloud IaaS using 20 clusters and server, which uses trust based scheduling algorithm and trust based load balancing algorithm. In this user can request for a Virtual machine i.e Xp, Ubuntu etc and can manage it using remote connection on this web based portal no extra software is required for remote connection. It has a host portal to manage the clusters and connections. Main part of this project is the scheduling and load-balancing algorithm which is trust based FCFS algorithm that uses a trust value obtained from Trust-Management layer. This layer manages the trust value and updates the trust value of the cluster.
IoT and Cloud Based Healthcare Solution for Diabetic Foot Ulcer
Iot Based Smart Bike System For Rash Driving Alerts
Behavior Study of Bike Driver and Alert System Using IoT and Cloud
Safe Sole Distress Alarm System for Female Security Using IoT
IoT based smart petrol pump
Automated Learning Based Water Management and Healthcare System Using Cloud Computing and IoT
IoT based Smart Home design using power and security management
IoT based intelligent billboard using data mining
IoT based smart healthcare kit
IoT based power efficient system design using automation for classrooms
B. Tech Projects