Projects

Distributed Spatio-Temporal Complex Event Processing for big IoT data.

• Designed an efficient and effective way to partition and process complex spatial IoT data on a cluster environment in real-time.

• Worked on distributed frameworks like Apache Flink and Google Cloud Platform.

Development of an Informative Dashboard.

• Engineered a scalable and efficient data analysis platform to give an overview and convey the hidden nuances in the data.

• Gained knowledge in developing front-end applications and dashboards using javascript framework, primarily D3JS. The application backend was set up using the Django framework.

Optimizing makespan and Energy during scheduling of Jobs on cloud servers.

• Studied various papers on Genetic Algorithms and Differential Evolution Algorithms(NSDE-II) and used them in scheduling the jobs on cluster-based computing frameworks for optimizing energy Consumed and makespan during the process of scheduling.

Removal of Speckle Noise From Synthetic-aperture radar(SAR) Images.

• Studied various research papers on Speckle Noise level estimation and incorporated them in the available PDE filters for better removal of Speckle noise from SAR Images.