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Mukesh Patel School of Technology Management and Engineering
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Educational Qualification (highest): M.Tech (ECE), Pursuing PhD(Engineering)

Area of Research: AI, Deep Learning, Machine Learning, Medical Image processing

Department: Electronics and Telecommunication Engineering

Basic Information:
  • Email Id: priyanka.verma@nmims.edu
  • Landline extension: 022- 45024774
  • Desk (location): Faculty room 601, Cubicle No- 14
Publications

Journals

  1. Avanti. B and Priyanka. V (in press) “Localisation and classification of surgical instruments in laparoscopy videos using deep learning techniques ” in International Journal of Computational Vision and Robotics, Inderscience publishers, DOI: 10.1504/IJCVR.2023.10057447
Conferences
  1. V. Oberoi, B. S. Negi, D. Chandan, P. Verma and V. Kulkarni, “Grade and Subtype Classification for Glioma Tumors using Clinical and Molecular Mutations,” 2023 International Conference on Modeling, Simulation & Intelligent Computing (MoSICom), Dubai, United Arab Emirates, 2023, pp. 468-473, doi: 10.1109/MoSICom59118.2023.10458825.
  2. A. Shaikh, P. Verma and K. Deshmukh, “Efficient Feature Selection Approach for Prediction of Cervical Cancer Using Machine Learning Algorithms,” 2023 International Conference on Modeling, Simulation & Intelligent Computing (MoSICom), Dubai, United Arab Emirates, 2023, pp. 446-451, doi: 10.1109/MoSICom59118.2023.10458795.
  3. D. Sawant, P. Kumar and P. Verma, “Comparison of Various Meteorological Parameters for Solar Radiation Prediction Using Artificial Neural Network,” 2023 International Conference on Modeling, Simulation & Intelligent Computing (MoSICom), Dubai, United Arab Emirates, 2023, pp. 228-233, doi: 10.1109/MoSICom59118.2023.10458773.
  4. P. Verma, K. Deshmukh and D. Krishnan, “Multiclass Classification of Liver Diseases using Optimized Machine Learning Classifiers,” 2023 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE), Dubai, United Arab Emirates, 2023, pp. 461-466, doi: 10.1109/ICCIKE58312.2023.10131875.
  5. Thanawala, D., Sarin, A., Kapil, M., Verma, P. (2022). An Approach for Maintaining Safety at Work Places During the COVID-19 Pandemic Using Deep Learning and Contact Tracing Applications. In: Ranganathan, G., Fernando, X., Shi, F., El Allioui, Y. (eds) Soft Computing for Security Applications . Advances in Intelligent Systems and Computing, vol 1397. Springer, Singapore. https://doi.org/10.1007/978-981-16-5301-8_15
  6. S. Anklesaria, U. Maheshwari, R. Lele and P. Verma, “Breast Cancer Prediction using Optimized Machine Learning Classifiers and Data Balancing Techniques,” 2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA, Pune, India, 2022, pp. 1-7, doi: 10.1109/ICCUBEA54992.2022.10010783.
  7. Nagda, P., Momaya, M., Pandey, A., Khanna, A., Verma, P. (2021). Performance Evaluation of Various CNN Network Architectures for Classification of Diabetic Retinopathy and Normal Retinal Images. In: Reddy, V.S., Prasad, V.K., Wang, J., Reddy, K.T.V. (eds) Soft Computing and Signal Processing. Advances in Intelligent Systems and Computing, vol 1325. Springer, Singapore. https://doi.org/10.1007/978-981-33-6912-2_7
  8. Namboodiri, R., Singla, K., Verma, P. (2021). An Experimental Stack Overflow Chatbot Architecture Using NLP Techniques. In: Paprzycki, M., Thampi, S.M., Mitra, S., Trajkovic, L., El-Alfy, ES.M. (eds) Intelligent Systems, Technologies and Applications. Advances in Intelligent Systems and Computing, vol 1353. Springer, Singapore. https://doi.org/10.1007/978-981-16-0730-1_23
  9. Anjum, R., Verma, P., Verma, S. (2019). Multiple Image Watermarking for Efficient Storage and Transmission of Medical Images. In: Singh, M., Gupta, P., Tyagi, V., Flusser, J., Ören, T., Kashyap, R. (eds) Advances in Computing and Data Sciences. ICACDS 2019. Communications in Computer and Information Science, vol 1046. Springer, Singapore. https://doi.org/10.1007/978-981-13-9942-8_9
  10. Thanawala, D., Sarin, A., Verma, P. (2020). An Approach to Waste Segregation and Management Using Convolutional Neural Networks. In: Singh, M., Gupta, P., Tyagi, V., Flusser, J., Ören, T., Valentino, G. (eds) Advances in Computing and Data Sciences. ICACDS 2020. Communications in Computer and Information Science, vol 1244. Springer, Singapore. https://doi.org/10.1007/978-981-15-6634-9_14
  11. P. Verma, R. G. Dastidar, S. Jain and S. Potghan, “Comparative analysis of conventional 2-level DWT and color plane watermarking for telemedicine applications,” 2017 2nd International Conference on Telecommunication and Networks (TEL-NET), Noida, India, 2017, pp. 1-8, doi: 10.1109/TEL-NET.2017.8343522.
  12. K. Singla, R. Namboodiri, P. Verma and R. A. Shaikh, “A Novel Approach for Iris Localization using Machine Learning Algorithms,” 2019 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE), Dubai, United Arab Emirates, 2019, pp. 50-55, doi: 10.1109/ICCIKE47802.2019.9004263.
  13. Vora, K., Shah, A., Shah, N., Verma, P. (2023). Prediction of Polycystic Ovary Syndrome (PCOS) Using Optimized Machine Learning Classifiers. In: Mathur, G., Bundele, M., Tripathi, A., Paprzycki, M. (eds) Proceedings of 3rd International Conference on Artificial Intelligence: Advances and Applications. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-19-7041-2_1
Chapters
  1. Book Chapter – Thanawala, D., Sarin, A., Kapil, M., Verma, P. (2022). An Approach for Maintaining Safety at Work Places During the COVID-19 Pandemic Using Deep Learning and Contact Tracing Applications. In: Ranganathan, G., Fernando, X., Shi, F., El Allioui, Y. (eds) Soft Computing for Security Applications . Advances in Intelligent Systems and Computing, vol 1397. Springer, Singapore. https://doi.org/10.1007/978-981-16-5301-8_15
    Publisher: Springer
  2. Book Chapter- Nagda, P., Momaya, M., Pandey, A., Khanna, A., Verma, P. (2021). Performance Evaluation of Various CNN Network Architectures for Classification of Diabetic Retinopathy and Normal Retinal Images. In: Reddy, V.S., Prasad, V.K., Wang, J., Reddy, K.T.V. (eds) Soft Computing and Signal Processing. Advances in Intelligent Systems and Computing, vol 1325. Springer, Singapore. https://doi.org/10.1007/978-981-33-6912-2_7
    Publisher: Springer
  3. Namboodiri, R., Singla, K., Verma, P. (2021). An Experimental Stack Overflow Chatbot Architecture Using NLP Techniques. In: Paprzycki, M., Thampi, S.M., Mitra, S., Trajkovic, L., El-Alfy, ES.M. (eds) Intelligent Systems, Technologies and Applications. Advances in Intelligent Systems and Computing, vol 1353. Springer, Singapore. https://doi.org/10.1007/978-981-16-0730-1_23
    Publisher: Springer
  4. Anjum, R., Verma, P., Verma, S. (2019). Multiple Image Watermarking for Efficient Storage and Transmission of Medical Images. In: Singh, M., Gupta, P., Tyagi, V., Flusser, J., Ören, T., Kashyap, R. (eds) Advances in Computing and Data Sciences. ICACDS 2019. Communications in Computer and Information Science, vol 1046. Springer, Singapore. https://doi.org/10.1007/978-981-13-9942-8_9
    Publisher: Springer
  5. Thanawala, D., Sarin, A., Verma, P. (2020). An Approach to Waste Segregation and Management Using Convolutional Neural Networks. In: Singh, M., Gupta, P., Tyagi, V., Flusser, J., Ören, T., Valentino, G. (eds) Advances in Computing and Data Sciences. ICACDS 2020. Communications in Computer and Information Science, vol 1244. Springer, Singapore. https://doi.org/10.1007/978-981-15-6634-9_14
    Publisher: Springer
  6. Vora, K., Shah, A., Shah, N., Verma, P. (2023). Prediction of Polycystic Ovary Syndrome (PCOS) Using Optimized Machine Learning Classifiers. In: Mathur, G., Bundele, M., Tripathi, A., Paprzycki, M. (eds) Proceedings of 3rd International Conference on Artificial Intelligence: Advances and Applications. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-19-7041-2_1
    Publisher: Springer