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Mukesh Patel School of Technology Management and Engineering
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Educational Qualification (highest):
  • Pursuing Ph.D (NMIMS University)
  • M.Tech (2011-2013 from Banasthali University)

Area of Research:Image Processing, Computer Vision

Department: Computer Engineering

Basic Information:
  • Email Id: Supriya.agrawal@nmims.edu
  • Landline extension: 114802
  • Desk (location):401 Faculty Area, MPSTME Phase 2
  • About (Awards, Patents, Committees) :Coordinator of Board of Studies of Computer Engineering Department
Journals
  • Agrawal, S., Natu, P. ABGS Segmenter: pixel wise adaptive background subtraction and intensity ratio based shadow removal approach for moving object detection. J Supercomput 79, 7937–7969 (2023). https://doi.org/10.1007/s11227-022-04972-9
  • Agrawal, S., & Natu, P. Segmentation of moving objects using numerous background subtraction methods for surveillance applications. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 9(3), 2553-2563 (2020).
  • Trivedi, A., Pant, N., Shah, P., Sonik, S., & Agrawal, S. Speech to text and text to speech recognition systems-A review. IOSR J. Comput. Eng, 20(2), 36-43 (2018).
  • Manuj, A., & Agrawal, S. Automated Human Facial Expression and Emotion Detection: A Review. International Journal of Computer Applications, 110(2). (2015).
Conferences
  • Udawat, B., Santani, A., & Agrawal, S. Occlusion detection for COVID-19 identification: A review. In 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS) (Vol. 1, pp. 298-301). IEEE. (2021, March).
  • Timbadia, D. H., Sudhanvan, S., Shah, P. J., & Agrawal, S. Crop Yield Prediction for India Using Regression Algorithms. In Advances in Computing and Data Sciences: 5th International Conference, ICACDS 2021, Nashik, India, April 23–24, 2021, Revised Selected Papers, Part II 5 (pp. 241-251). Springer International Publishing. (2021).
  • Nair, A., Nair, A., Shetty, R., Samant, S., & Agrawal, S. Analyzing User Requirements and Interface Designing on Mobile Solutions for Waste Segregation. In 2021 6th International Conference for Convergence in Technology (I2CT) (pp. 1-8). IEEE. (2021, April).
  • Agrawal, S., & Natu, P. An improved Gaussian Mixture Method based background subtraction model for moving object detection in outdoor scene. In 2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT) (pp. 1-8). IEEE. (2021, September).
  • Garg, S., Lohumi, P., & Agrawal, S. Smart parking system to predict occupancy rates using machine learning. In International Conference on Information, Communication and Computing Technology (pp. 163-171). Singapore: Springer Singapore. (2020, May).
  • Timbadia, D. H., Shah, P. J., Sudhanvan, S., & Agrawal, S. Robotic process automation through advance process analysis model. In 2020 International Conference on Inventive Computation Technologies (ICICT) (pp. 953-959). IEEE. (2020, February).
  • Gupta, T., Sisodia, M., Fazulbhoy, S., Raju, M., & Agrawal, S. Improving accessibility for dyslexic impairments using augmented reality. In 2019 international conference on computer communication and informatics (ICCCI) (pp. 1-4). IEEE. (2019, January).
Chapters
  • Shah, P. J., Timbadia, D. H., Sudhanvan, S., & Agrawal, S. Advanced Rainfall Prediction Model for India Using Various Regression Algorithms. In Soft Computing for Problem Solving: Proceedings of SocProS 2020, Volume 2 (pp. 361-374). Springer Singapore. (2021).
  • Burad, D., Gurav, B., Desai, S., Banerjee, S., & Agrawal, S. Multifunctional pose estimator workout guider. In Artificial Intelligence, Blockchain, Computing and Security Volume 1 (pp. 474-480). CRC Press. (2023).