Noopur Arora

Noopur Arora

Singapore
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About

Experienced Research and Development Engineer with a demonstrated history of working in…

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Experience

  • Grab Graphic

    Grab

    Singapore, Singapore

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    Singapore, Singapore

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    Singapore, Singapore

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    Singapore, Singapore

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    Singapore, Singapore

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Education

Publications

  • Integrating Depth-HOG and Spatio-Temporal joints data for Action Recognition

    WSCG 2016

    We propose an approach for Action Recognition which is based on amalgamation of key local and global feature descriptors such as spatial pose, temporal variation in joints position and spatio-temporal gradient orientation of depth maps. Additionally we obtain a motion induced global shape feature describing the motion dynamics of an action. Feature selection is carried out to obtain a most relevant set of features. The resultant features are evaluated using SVM classifier. We compare the…

    We propose an approach for Action Recognition which is based on amalgamation of key local and global feature descriptors such as spatial pose, temporal variation in joints position and spatio-temporal gradient orientation of depth maps. Additionally we obtain a motion induced global shape feature describing the motion dynamics of an action. Feature selection is carried out to obtain a most relevant set of features. The resultant features are evaluated using SVM classifier. We compare the effectiveness of our method on MSR Action 3D dataset. In addition to it, we also evaluate the results of our method on a dataset created at IIT Delhi Vision lab.

    See publication

Courses

  • Advanced DataStructures and Algorithms

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  • Compiler Design

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  • Computer Networks

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  • Database Implementations

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  • Digital Image Processing

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  • Discrete Mathematics

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  • Introduction to Databases

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  • Machine Learning

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  • Operating Systems

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  • Special Topics in Artificial Intelligence

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  • Virtualization and Cloud Computing

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Projects

  • Function Optimization Tool

    Applied Genetic Algorithm and Particle Swam Optimization in integration with SVM to predict minimum values for functions with large search space and large number of local minima.

  • Digit Classification tool

    Implemented a multi class digit classification system using Artificial Neural Network with an accuracy of 95.6% on MNIST handwritten digit dataset.

  • Hunting eye

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    It is a Human-Interaction game made using the skeleton data obtained from Microsoft Kinect Camera with the help of kinect v2 sdk in C# on visual studio.

  • Multiplayer Stategy game

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    It was developed using OpenGl, Pthread library, concepts of Artificial Intelligence and Networking for multiple users to play over LAN.

  • Distributed Hash Table

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    Designed a user level thread library in C++, used it to implement chord distributed hash table algorithm for peer to peer network.

  • ARMv8 Simulator

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    Designed in C++ to simulate the Instruction set of ARMv8 architecture for both x86 and x64 versions.

  • Leaf Recognition system

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    The System consist of a leaf database and the objective is to take a leaf image as input from the user, performs feature extraction and uses Back Propagation Neural Network to predict the closest match from the database.

  • Sanitary Surveillance System at ICU

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    The system was developed for use inside the ICU at AIIMS, the purpose was to ensure that the nurses sanitize their hands before touching the patients. A Kinect Camera and a RFID reader was deployed for successful real time tracking.

Test Scores

  • GATE 2014

    Score: 62.6/100

    Rank - 124

Languages

  • English

    Native or bilingual proficiency

  • Hindi

    Native or bilingual proficiency

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