Published:
The project aims at applying recent progress in Machine Learning techniques to the automation of quality assessment allowing the check of large volumes of data in real-time and improving the ability to detect unexpected features. The test implementation was presented to a panel of Physicist and Computer scientists; I was awarded the 2nd position for my work.
Published:
The project aims at applying recent progress in Machine Learning techniques to the automation of quality assessment allowing the check of large volumes of data in real-time and improving the ability to detect unexpected features. The test implementation was presented to a panel of Physicist and Computer scientists; I was awarded the 2nd position for my work.
Published:
With the world trying to resume all activities as they were before the COVID-19 pandemic, citizens need to judge their risk levels from gatherings and activities. The numerous determinants and the evolving nature of risk make it confusing for the public to understand the risk from various activities. Hence we created this risk calculator app, the paper was accepted at Nature Scientific Reports.
Published:
Indexing and evaluating the indexed ClueWeb12-B dataset and wrote an algorithm for automated query reformulation using concepts of graph theory
Published:
While working with Computer Graphics at IIST. I was assigned the task of studying various methods for re-creating real-world objects. To begin with, I studied the Geometric Modelling method. This required me to study multiple mathematical algorithms and concepts like bezier curves, fractals for the successful re-creation of shapes and different lighting models like Monte-Carlo ray-tracing method.
Published:
A comparative study on the flow of information about a catastrophic topic on Twitter and conventional news channels. Paper Published at 19th International Conference on Enterprise Information Systems. Awarded first position in Amalgam, alumni sponsored competition at Army Institute of Technology, 2016.
Published:
Pro-active fault detection in Cloud System using Machine Learning Algorithms like- Sparse Coding and Single label SVM
Published:
Indexing and evaluating the indexed ClueWeb12-B dataset and wrote an algorithm for automated query reformulation using concepts of graph theory
Published:
The project aims at applying recent progress in Machine Learning techniques to the automation of quality assessment allowing the check of large volumes of data in real-time and improving the ability to detect unexpected features. The test implementation was presented to a panel of Physicist and Computer scientists; I was awarded the 2nd position for my work.
Published:
While working with Computer Graphics at IIST. I was assigned the task of studying various methods for re-creating real-world objects. To begin with, I studied the Geometric Modelling method. This required me to study multiple mathematical algorithms and concepts like bezier curves, fractals for the successful re-creation of shapes and different lighting models like Monte-Carlo ray-tracing method.
Published:
A comparative study on the flow of information about a catastrophic topic on Twitter and conventional news channels. Paper Published at 19th International Conference on Enterprise Information Systems. Awarded first position in Amalgam, alumni sponsored competition at Army Institute of Technology, 2016.
Published:
Pro-active fault detection in Cloud System using Machine Learning Algorithms like- Sparse Coding and Single label SVM
Published:
Created a text summarization and analytics platform that works on top of messaging systems being used at CERN, Switzerland. Programmed various natural language processing and machine learning routines for answering users’ queries (summary, most important chats and keywords). ParityApp
Published:
My interest in Computer graphics led me to animations. This is my first animation using pygame. This game consists of two levels and rotating platforms that Mario has to cross.
Published:
Indexing and evaluating the indexed ClueWeb12-B dataset and wrote an algorithm for automated query reformulation using concepts of graph theory
Published:
With the world trying to resume all activities as they were before the COVID-19 pandemic, citizens need to judge their risk levels from gatherings and activities. The numerous determinants and the evolving nature of risk make it confusing for the public to understand the risk from various activities. Hence we created this risk calculator app, the paper was accepted at Nature Scientific Reports.
Published:
Pro-active fault detection in Cloud System using Machine Learning Algorithms like- Sparse Coding and Single label SVM
Published:
A comparative study on the flow of information about a catastrophic topic on Twitter and conventional news channels. Paper Published at 19th International Conference on Enterprise Information Systems. Awarded first position in Amalgam, alumni sponsored competition at Army Institute of Technology, 2016.
Published:
An embedded system to track the position of the sun throughout the day to increase the efficiency of the sunlight harvesting systems.
Published:
Created a text summarization and analytics platform that works on top of messaging systems being used at CERN, Switzerland. Programmed various natural language processing and machine learning routines for answering users’ queries (summary, most important chats and keywords). ParityApp