Specialization

Computer Vision, Data Science, Machine Learning, Deep Learning

Email

randheer.bagi@thapar.edu

Google Scholar Link: https://scholar.google.com/citations?user=xzqPIYYAAAAJ&hl=en&oi=ao

ORCID Link: https://orcid.org/0000-0002-9466-9367
 
Education
●    PhD in Computer Science and Engineering, from Indian Institute of Technology (BHU), Varanasi.
●    M. Tech. in Computer Science, from Central University South Bihar, Bihar.
●    B. Tech. in Information Technology, from Uttar Pradesh Technical University (UPTU), Lucknow, Uttar Pradesh

Experience
1.    Assistant Professor in Dept. of Computer Science and Engineering, TIET, Thapar University, Patiala, Panjab. [Duration: 14th Oct 2022 to present date]
2.    Assistant Professor in Dept. of Computer Science and Engineering, PIET, Parul University, Waghodia, Vadodara. [Duration: 14th June 2021 to 12th Oct 2022]

Journal publications:
1.    R. Bagi, T. Dutta, N. Nigam, D. Verma and H. P. Gupta, "Met-MLTS: Leveraging Smartphones for End-to-End Spotting of Multilingual Oriented Scene Texts and Traffic Signs in Adverse Meteorological Conditions," in IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2021.3117793. [Impact Factor: 6.492].
2.    R. Bagi, T. Dutta, and H. P. Gupta, "Cluttered TextSpotter: An End-to-End Trainable Light-Weight Scene Text Spotter for Cluttered Environment," in IEEE Access, vol. 8, pp. 111433-111447, 2020, doi: 10.1109/ACCESS.2020.3002808. [Impact Factor: 4.098]
3.    R. Bagi and T. Dutta, "Cost-effective & Smart Text Sensing & Spotting in Blurry Scene Images using Deep Networks," in IEEE Sensors Journal, doi: 10.1109/JSEN.2020.3024257. [Impact Factor: 3.78]
4.    R. Bagi, S. Mohanty, T. Dutta and H. P. Gupta, "Leveraging Smart Devices for Scene Text Preserved Image Stylization: A Deep Gaming Approach," in IEEE MultiMedia, vol. 27, no. 2, pp. 19-32, 1 April-June 2020, doi: 10.1109/MMUL.2020.2988394. [Impact Factor: 4.962]
5.    D. Dave, R. Bagi, J. Gandhi, P. Patel, “An Efficient Real-Time Text Spotter”, CIMS, vol. 28, no. 10, pp. 180–194, Oct. 2022. [Impact Factor: 1.288]

International Conference Papers in Proceedings:
1.    D. Dave and R. Bagi, “LightHARs: A Light Human Activity Recognition System.” In: International conference on Recent Trends in Machine Learning, IOT, Smart Cities & Applications (ICMISC 2022) Springer, India.[Accepted]
2.    R. Bagi, D. Singh, and, R. Mishra “A Game Theory-Based River Water Quality Rating System using Fog Computing” In: International conference on Engineering & Technology (PiCET 2022), AIP Publication, India.[Accepted]
3.    D. Dave and R. Bagi, “Insect Recognition: A Visionary Step Towards Smart Agriculture” In: International conference on Engineering & Technology (PiCET 2022), AIP Publication, India.[Accepted]
4.    M. Bilimoria, W. Patel and R. Bagi, “Distributed Deep Learning System for Security Analysis from URLS” In: International conference on Engineering & Technology (PiCET 2022), AIP Publication, India.[Accepted]
5.    R. Bagi, T. Dutta, and H. P. Gupta, “Deep Learning Architectures for Computer Vision Applications: A Study. In: Kolhe M., Tiwari S., Trivedi M., Mishra K. (eds) Advances in Data and Information Sciences. Lecture Notes in Networks and Systems, vol 94. Springer, Singapore, 2020. https://doi.org/10.1007/978-981-15-0694-9_56
6.    T. Dutta, R. Bagi, and H. P. Gupta, “Robust reversible watermarking for grayscale medical images. In: Kolhe M., Tiwari S., Trivedi M., Mishra K. (eds) Advances in Data and Information Sciences. Lecture Notes in Networks and Systems, vol 94. Springer, Singapore, 2020. https://doi.org/10.1007/978-981-15-0694-9_57
7.    R. Bagi, J. Yadav and K. S. Rao, "Improved recognition rate of language identification system in noisy environment," 2015 Eighth International Conference on Contemporary Computing (IC3), Noida, India, 2015, pp. 214-219, doi: 10.1109/IC3.2015.7346681
8.    R. Bagi and J. Yadav,  “Performance degradation of language identification system in noisy environment”, in Proceeding of the International Conference on Recent Advances in Mathematics, Statistics and Computer Science. World Scientific Publishing Co. Pte. Ltd., Singapore, pp. 538-548, 2016. https://doi.org/10.1142/9789814704830_0050

Book Chapters:

1.    Dutta, T., Bagi, R., Gupta, H.P. (2021). Deep Learning Models and Their Architectures for Computer Vision Applications: A Review. In: Makkar, A., Kumar, N. (eds) Deep Learning for Security and Privacy Preservation in IoT. Signals and Communication Technology. Springer, Singapore.2022,  doi: https://doi.org/10.1007/978-981-16-6186-0_2

2.    T. Dutta, R. Bagi, and H. P. Gupta, “Scene Text Analysis” in book entitled “Data Science and its Applications”, Chapman and Hall/CRC, Pages: 14, eBook ISBN: 9781003102380, 2021. https://doi.org/10.1201/9781003102380

Scholarship/Award:
•    University Grants Commission examination for Lectureship (NET), 2015.
•    Graduate Aptitude Test in Engineering (GATE), 2013, 2017.

Reviewer:
•    Reviewer of IEEE Transaction on Industrial Electronics. [Impact Factor: 8.236]
•    Reviewer of IEEE Access [Impact Factor: 3.367]
•    Reviewer of IEEE 6th International Conference on Computing, Communication, Control and Automation 2022.