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Areas of Interest

Deep Learning | Machine Learning | Image Processing | Computer Vision | Geospatial Analytics

Professional Experience

Research Scientist, Rakuten Institute of Technology, Rakuten, Group Inc. [Jan 2020-Present]

  • Developing data-driven applications in healthcare industry and cancer research.

Researcher, Data Science Research Labs., NEC Corporation, Japan [Oct 2016-Dec 2019]

  • Responsible for developing novel algorithms for geospatial applications using machine learning and deep learning. Involved in key research and business collaborations.

Post-graduate Researcher and Teaching Assistant, IIT Bombay, India [2014-2016]

  • Conducted research work on Hyperspectral image super-resolution.
  • Mentored 1st year M.Tech students in efficient implementation of course projects in image processing and remote sensing.

Education

  • Indian Institute of Technology Bombay (IITB), India [2014-2016]
    • M. Tech in Geoinformatics Engineering, GPA: 9.79/10
  • College of Technology, GBPUAT, Pantnagar, India [2010-2014]
    • B. Tech in Electrical Engineering, GPA: 8.25/10

Projects

  1. RNA-sequence Prediction from Histopathology Images
    • Invented an AI model based on neural image compression and deep learning regression that directly predicts RNA-sequence from head and cancer histopathology images to save genomic testing time and cost.
  2. Blur-robust Nuclei Segmentation in Medical Images
    • Studied the effect of blur on nuclei segmentation algorithms and proposed a deep learning encoder-decoder framework to robustly segment nuclei even under blurry conditions.
  3. Small Object Change Detection in SAR images
    • Developed a Multitask Siamese Convolutional Neural Network for parking lot monitoring of retail stores using satellite images.
  4. Ship Classification for Maritime Surveillance using Synthetic Aperture Radar (SAR) images
    • Invented a novel ship classification method that combines geometry information with image features into a convolutional neural network (CNN) to achieve robust feature representation of ships.
  5. Land-use Land-cover Segmentation
    • Created an application to segment five types of land-cover using satellite images and deep learning and initiated new research direction.
  6. Comparative Study of Feature Extraction Methods for Moderate Resolution Satellite Images
    • Evaluated hand-crafted features, Principal Component Analysis (PCA) and Autoencoder based on accuracy, ship length and speed for classifying ships in 6m spatial resolution images.
  7. Hyperspectral Image Super-resolution
    • Developed a super-resolution technique to improve classification of mixed pixels in hyperspectral images.
  8. Unsupervised Change Detection using Deep Learning
    • Implemented unsupervised change detection for multitemporal images employing Sparse Autoencoder for feature extraction, Fuzzy C-Means for clustering and CNN for classification, achieving 98% accuracy.
  9. Feature Extraction Using Active Contour Models
    • Reviewed various feature extraction techniques and implemented Snakes Algorithm in MATLAB for road and coastline detection in satellite images.
  10. Shape detection using Hit and Miss Transform
    • Implemented a Pattern Recognition Technique for detecting geometrical shapes in an image.
  11. Dimensionality Reduction of Hyperspectral Images
    • Executed Minimum Noise Fraction (MNF) algorithm for optimal feature extraction and noise decorrelation.
  12. Optimal Bike Path Development and Shortest Route Detection
    • Implemented Dijkstra Algorithm to find shortest route between two stations by running a query.

Publications (Google Scholar)

  1. Shreya Sharma, Masato Toda, Very high resolution SAR change detection with Siamese Networks, The 66th Academic Conference of the Remote Sensing Society of Japan, 2019

  2. Shreya Sharma, Yuzo Senda, Kenta Senzaki, Hirofumi Aoki, CNN-based ship classification method incorporating SAR geometry information, SPIE Remote Sensing, Germany, 2018 Publication

  3. Shreya Sharma, Kenta Senzaki, Hirofumi Aoki, Comparative evaluation of feature extraction approaches for ship classification in moderate-resolution SAR imagery, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Spain, 2018 Publication

  4. Shreya Sharma, Shakti Sharma, Krishna Mohan Buddhiraju, Sub-pixel mapping of hyperspectral imagery using super-resolution, SPIE-Asia Pacific Remote Sensing, India, 2016 Publication

  5. Shakti Sharma, Shreya Sharma, Krishna Mohan Buddhiraju, Ant colony optimization for super-resolution of hyperspectral images, Workshop in Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2016 Publication

  6. Shreya Sharma, Eiji Kaneko, Masato Toda, Small Object Change Detection Based on Multitask Siamese Network, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2020 Publication

  7. Shreya Sharma, Srikanth Ragothaman, Abhishek Vahadane, Devraj Mandal, Shantanu Majumdar, Spatial-context-aware RNA-sequence prediction from head and neck cancer histopathology images, Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021 Publication

  8. Devraj Mandal, Abhishek Vahadane, Shreya Sharma, Shantanu Majumdar, Blur-Robust Nuclei Segmentation for Immunofluorescence Images, Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021 Publication

Patents

  1. Shreya Sharma, Yuzo Senda, Hirofumi Aoki and Kenta Senzaki, Image Processing Method, Image Processing Device and Image Processing System, US20210063565A1 Patent

  2. Shreya Sharma and Masato Toda, Image Processing Method, Image Processing Device and Image Processing System, PCT/JP2019/016540

  3. Shreya Sharma and Masato Toda, Image Processing Method, Image Processing Device and Image Processing System, PCT/JP2019/014832

Skills

Programming
Python • C • MATLAB • R • Groovy

Tools
Keras • TensorFlow • Scikit-learn • Numpy • Pandas • Matplotlib • OpenCV • GDAL • QGIS • ENVI • Hyperas • LaTex • Git • Keras-vis • PyTorch • QuPath • ImageJ

Key Courses
Deep Learning • Machine Learning • Probability and Statistics • Computer Vision • Image Processing • Remote Sensing and GIS • Algorithms • Critical Thinking • Technical Writing • AI in Medicine

Achievements

2021 Rakuten Star Award for outstanding performance and enhancing Rakuten Shugi Principles
2021 Rakuten Excellence Award for outstanding contribution to team/project
2019 1 of 50 researchers selected globally for Google Earth Engine Summit Tokyo
2014 99.52 percentile in GATE out of 1.42 lakh students
2010 98.15 percentile in AIEEE out of 12 lakh students
2016 3rd in Group Dance Contest in Annual Cultural Fest
2013 3rd in sketching contest organized by SPICMACAY
2012 Awarded National Service Scheme certificate
2011 1st in advertising contest
2011 Awarded ’Creative Mind’ in National-level Cultural Fine Arts Fest
2008 1st in Inter-School Basketball Tournament

Extra-curricular

  • Volunteered at Hands-on-Tokyo, Japan to conduct coaching for specially-abled kids.
  • Member of Machine Learning Tokyo Group to collaboratively learn and propagate AI.
  • Served as Teaching Assistant in Image Processing Lab at IITB to mentor 27 students.
  • Served as PG academic council coordinator to solve issues of 4000+ PG students.
  • Worked as Dramatics Secretary to organize institute-wide dramatics events.

Hobbies

Reading, blogging, hiking, cooking