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Sukhandeep Kaur, PhD Assistant Professor
- School School of Engineering and Technology
- Email sukhandeep.kaur@bmu.edu.in
- Graduation In: BTech (CSE)
- Graduation From: Punjab Technical university
- Graduation Year: 2013
- Post Graduation In: Master of Engineering (Software Engineering)
- Post Graduation From: Thapar University, Patiala, Punjab, India
- Post Graduation Year: 2016
- Doctorate In: Computer Science
- Doctorate From: Thapar University, Patiala, Punjab, India
- Doctorate Year: 2023
| From - To (Year) | Designation & Organization |
|---|---|
| Research Consultant in Clarivate Analytics | Research Consultant in Clarivate Analytics |
| 2018-2021 | Senior Research Fellow at CSIR, India |
| Jan 2018-Jun 2018 | Non Tenure Lecturer at Thapar University, Patiala |
| 2017-2018 | Teaching Associate at Thapar University, Patiala |
| 2014-2016 | Teaching Assistant at Thapar University, Patiala |
- Kaur, Sukhandeep, Seema Bawa, and Ravinder Kumar. “A survey of mono-and multi-lingual character recognition using deep and shallow architectures: Indic and non-Indic scripts.” Artificial Intelligence Review 53.3 (2020): 1813-1872. (SCI Indexed IF=12)(Q1)
- Kaur, Sukhandeep, Seema Bawa, and Ravinder Kumar. “Segmentation free composite character recognition in Bilingual Handwritten text for Gurumukhi-English Scripts” Soft Computing (2023): 1-20. (SCI Indexed IF=4.1)(Q2)
- Kaur, S., Bawa, S. & Kumar, R. Heuristic-based text segmentation of bilingual handwritten documents for Gurumukhi-Latin scripts. Multimedia Tools and Applications (2023). (SCI Indexed IF=3.6)(Q2)
- Kaur, Sukhandeep, Seema Bawa, and Ravinder Kumar. “Bilingual Documents Text line extraction using conditional GAN” In: Machine Learning and Big Data Analytics. ICMLBDA 2022. Springer Proceedings in Mathematics & Statistics, vol 401. Springer, Cham. (Scopus Indexed)
- Kaur, Sukhandeep, Seema Bawa, and Ravinder Kumar. “Script Identification in Handwritten Documents for Gurumukhi-Latin Script using Transfer Learning with Deep and Shallow Classifiers.” Soft Computing. [major revision] (SCI Indexed IF=4.1)(Q2)
- Kaur, Sukhandeep, and Seema Bawa. “A review on energy aware VM placement and consolidation techniques.” 2016 International Conference on Inventive Computation Technologies (ICICT). Vol. 3. IEEE, 2016.
- Kaur, Sukhandeep, Seema Bawa, and Ravinder Kumar. “Evaluating Generative Adversarial Networks for Gurumukhi handwritten Character Recognition (CR)” In: Sisodia, D.S., Garg, L., Pachori, R.B., Tanveer, M. (eds) Machine Intelligence Techniques for Data Analysis and Signal Processing. Lecture Notes in Electrical Engineering, vol 997. Springer, Singapore.. (Scopus Indexed)