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Dr. Aiswarya S. Kumar

Assistant Professor, School of Computing, Amritapuri

Qualification: B. Tech., M.Tech., MPhil, Ph.D
aiswaryask@am.amrita.edu
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Research Interest: Computer Vision, Scene Understanding and Image Retrieval, Deep Learning, Assistive Technologies and Learning with Disabilities, Smart Farming
Date of Joining: 08/08/2022
Nature of Association: Regular

Bio Publications Qualification Positions Held Courses Taught
Bio

Dr. Aiswarya S. Kumar received Ph. D. degree from Amrita Vishwa Vidyapeetham, Kerala, India in 2022. She received her M. Phil. degree in Computer science from Cochin University of Science and Technology in 2016 and the M. Tech. degree in Machine learning from Amrita Vishwa Vidyapeetham in 2013. She currently serves as Assistant Professor at the Department of Computer Science and Engineering, Amrita Vishwa Vidyapeetham.

She also served as Assistant Professor at Saintgits College of Engineering, Kerala, India. Her research interest includes Computer Vision, Scene Understanding and Image Retrieval, Deep Learning, Assistive Technologies and Learning with Disabilities, Smart Farming. She was awarded the “Senior research fellowship (SRF)” by the Council of Scientific & Industrial Research (CSIR), Government of India in 2017.

Publications

Journal Article

Year : 2022

Scene Graph Generation Using Depth, Spatial, and Visual Cues in 2D Images

Cite this Research Publication : A. S. Kumar, Jyothisha J. Nair, Scene Graph Generation Using Depth, Spatial, and Visual Cues in 2D Images, IEEE Access, vol. 10, pp. 1968–1978, 2022.

Publisher : IEEE

Year : 2021

A novel SPLIT-SIM approach for efficient image retrieval

Cite this Research Publication : A. S. Kumar,Jyothisha J. Nair, A novel SPLIT-SIM approach for efficient image retrieval, Multimedia Systems, vol. 28, no. 2, pp. 659–672,2021.

Publisher : Springer Nature

Conference Paper

Year : 2022

Compact-VG: A Small-scale Dataset for Scene Graph Generation

Cite this Research Publication : A. S. Kumar and Jyothisha J. Nairr, Compact-VG: A Small-scale Dataset for Scene Graph Generation, Data Engineering and Intelligent Computing, pp. 179–188, 2022, doi: 10.1007/978-981-19-1559-8_18.

Publisher : Springer Nature

Year : 2017

A convolutional neural network for visual object recognition in marine sector

Cite this Research Publication : A. S. Kumar and E. Sherly, "A convolutional neural network for visual object recognition in marine sector," 2017 2nd International Conference for Convergence in Technology (I2CT), Apr. 2017, doi: 10.1109/i2ct.2017.8226141.

Publisher : IEEE Xplore

Qualification
  • Ph. D. (2022) in Computer Vision and Image Understanding
  • M. Phil. (2016) in Computer Science and Image Processing, IIITM-K, Thiruvananthapuram
  • M. Tech. (2013) in Machine Learning, Amrita Vishwa Vidyapeetham, Kollam
  • B. Tech. (2011) in Computer Science and Engineering, Mangalam College of Engineering, Kottayam
Positions Held
  • Assistant Professor, Amrita Vishwa Vidyapeetham, Kollam
  • Assistant Professor, Saintgits College of Engineering, Kottayam
Courses Taught
  • Machine Learning (2022, 2020-24 Batch)
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