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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)

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