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Dr. Rimjhim Singh

Assistant Professor (Sr.Gr.), Department of Computer Science Engineering, Amrita School of Computing, Bengaluru

Qualification: B-Tech, M.Tech, Ph.D
ps_rimjhim@blr.amrita.edu
Research Interest: Image & Video processing, Deep Learning, Motion analysis

Bio

Rimjhim Padam Singh currently serves as an Assistant Professor (Sr.Gr.) in the Department of Computer Science Engineering, Amrita School of School of Computing Bengaluru. She has completed her Ph.D on “A Light-weight Sample Consensus-Based Approach for Efficient Change Detection in Video Sequence Images” from Visvesvaraya National Institute of Technology, Nagpur. She received her B. Tech and M.Tech Degree from RTM Nagpur University in 2013 and 2015 respectively. Her research areas include image and video processing, motion analysis and deep leaning. Prior to joining Amrita Vishwa Vishwa Vidyapeetham, she was working with Amrita Vishwa Vidyapeetham, Coimbatore Campus.

Education

Ph. D (VNIT, Nagpur)

Publications

Journal Article

Year : 2022

A Light-Weight Change Detection Method Using YCbCrBased Texture Consensus Model

Cite this Research Publication : Rimjhim Padam Singh Poonam Sharma, “A Light-Weight Change Detection Method Using YCbCrBased Texture Consensus Model”. International Journal of Pattern Recognition and Artificial Intelligence, no. 2050023. (Indexing: SCI-E, Publisher: World Scientific)

Year : 2021

Sparse representation for face recognition: A review paper

Cite this Research Publication : Jitendra Madarkar, Poonam Sharma and Rimjhim Padam Singh, Sparse representation for face recognition: A review paper. IET Image Processing(Indexing: SCI-E, Publisher: IET), 2021

Year : 2020

Instance-vote-based Motion Detection using Spatially Extended Hybrid Feature Space

Cite this Research Publication : Rimjhim Padam Singh and Sharma, P., “Instance-vote-based Motion Detection using Spatially Extended Hybrid Feature Space”, Accepted at The Visual Computer Journal, 2020.

Publisher : Accepted at The Visual Computer Journal

Year : 2019

Compute-Extensive Background Subtraction for Efficient Ghost Suppression

Cite this Research Publication : Rimjhim Padam Singh, Sharma, P., and Madarkar, J., “Compute-Extensive Background Subtraction for Efficient Ghost Suppression”, IEEE Access, vol. 7, pp. 130180-130196, 2019.

Publisher : IEEE Access

Year : 2015

Classification and Novel Class Detection in Data Streams Using Strings

Cite this Research Publication : Rimjhim Padam Singh, “Classification and Novel Class Detection in Data Streams Using Strings”, Open Access Library Journal 2, 2015.

Publisher : Open Access Library Journal 2

Conference Paper

Year : 2020

Improved Performance and Execution Time of Face Recognition Using MRSRC

Cite this Research Publication : J. Madarkar, Sharma, P., and Rimjhim Padam Singh, “Improved Performance and Execution Time of Face Recognition Using MRSRC”, in Soft Computing for Problem Solving, Singapore, 2020.

Publisher : Soft Computing for Problem Solving, Springer Singapore

Year : 2019

Improving Change Detection Using Centre-Symmetric Local Binary Patterns

Cite this Research Publication : Rimjhim Padam Singh and Sharma, P., “Improving Change Detection Using Centre-Symmetric Local Binary Patterns”, in Pattern Recognition and Machine Intelligence, Cham, 2019.

Publisher : Pattern Recognition and Machine Intelligence

Conference Proceedings

Year : 2022

A Weighted Hybrid Recommendation Approach for User’s Contentment using Natural Language processing

Cite this Research Publication : Pretty Paul and Rimjhim Padam Singh (2022), A Weighted Hybrid Recommendation Approach for User’s Contentment using Natural Language processing in International conference on Applied Computational Intelligence and Analysis, NIT Raipur, Feb-2022.

Year : 2022

Sentiment Rating Prediction using Neural Collaborative Filtering

Cite this Research Publication : Pretty Paul, Rimjhim Padam Singh (2022), Sentiment Rating Prediction using Neural Collaborative Filtering in IEEE 7th International Conference on Recent Advances and Innovations in Engineering (ICRAIE), NIT Surathkal, 2022

Publisher : IEEE

Year : 2021

Using Attractive Repulsive Binary Local Gradient Contours for Sample-Consensus Background Modeling

Cite this Research Publication : Rimjhim Padam Singh and Poonam Sharma (2021), Using Attractive Repulsive Binary Local Gradient Contours for Sample-Consensus Background Modeling. In: Tiwari A., Ahuja K., Yadav A., Bansal J.C., Deep K., Nagar A.K. (eds) Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 1393. Springer. (Best Paper Award at IIT Indore)

Year : 2018

Motion Detection Using a Hybrid Texture-Based Approach

Cite this Research Publication : Rimjhim Padam Singh, Sharma, P., and Madarkar, J., “Motion Detection Using a Hybrid Texture-Based Approach”, In Soft Computing for Problem Solving. Springer, Singapore, pp. 609-620, 2018.

Publisher : In Soft Computing for Problem Solving, Springer, Singapore, p.609-620.

Presentation

Year : 2019

Motion Detection using a Hybrid-Texture Based Approach

Cite this Research Publication : Rimjhim Padam Singh. ”Motion Detection using a Hybrid-Texture Based Approach” at Research Scholar Day conducted by VNIT, Nagpur

Invited Talk / Guest Lecture
  1. Lab Session conducted on “Clustering techniues” in Faculty Development Program on “Data Mining using R” organized by Department of Computer Science Engineering, VNIT, Nagpur.
  2. Lab Session conducted on “Hidden Markov Models in Gene Sequencing” in Faculty Development Program on “Machine Learning with R” organized by Department of Information Technology, YCCE, in association with ACM, Nagpur Chapter.
  3. Lab Session conducted on “Clustering techniques” in Faculty Development Program on “Data Mining and Machine Learning using R” organized by Department of Computer Science and Engineering, SRCOEM, Nagpur.
Research Scholars

Ms. Resmi
Ms. B. Saranya Devi

Package / Software

Rimjhim Singh, Poonam Sharma, ”Rbgs: An R package on reading and background subtration in videos”, on Comprehensive R Archive Network.

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