Department
Data Science
Designation
Assistant Professor
Qualification
PhD
Experience
28 years
Academic Profile :

Interest Areas

Artificial Intelligence and Machine Learning, Cybersecurity, Data Science & Analytics
Academic Profile :

  • Brings over 28 years of academic and teaching experience in reputed engineering colleges.

  • Approved PG Teacher (M.E. – Computer Engineering), University of Mumbai (2012)

  • Approved PG Teacher (M.E. – Information Technology), University of Mumbai (2012)

     

Global Certifications:

Paper Publications:

Journal Papers:

  1. Shrivas A. Deshpande S. Gidaye G. Nirmal, J.; Ezzine, K.; Frikha, M.; Desai, K.; Shinde, S.; Oza, A.D.; Burduhos-Nergis, D.D., “Employing Energy and Statistical Features for Automatic Diagnosis of Voice Disorders”, Diagnostics 2022, 12,2758.https://doi.org/10.3390/diagnostics12112758 

  2. Shrivas A. Deshpande S. Gidaye G., "Wavelet-Based Methodology for Non-Invasive Detection and Multiclass Classification of Voice Disorders: A Comprehensive Study across Multilingual Datasets", International Journal of Biomedical Engineering and Technology https://doi.org/10.1504/IJBET.2024.143289 

  3. Shrivas A. Deshpande S. Rawankar Arpit., Gidaye G., Ravankar Abhijit, Ravankar Ankit, “Voice Diagnosis based on STFT and PSD for Detection of in-situ-carcinoma in early stages”, Sensors 2024 

 

  1. Shrivas A. and Pardeshi A., “To study and design a cross-platform mobile application for student information system using PhoneGap framework,” International Journal of Emerging Technologies and Applications in Engineering, Technology and Sciences, 2013.

 

  1. Gidaye G., Nirmal J., Ezzine K., and Shrivas A., “Application of glottal flow descriptors for pathological voice diagnosis,” International Journal of Speech Technology, Springer, 2020.

  2. Mhatre K., Thube A., Mahadeshwar H., and Shrivas A., “Question Generation using NLP,” International Journal of Scientific Research & Engineering Trends, vol. 5, no. 2, pp. 394–395, Mar.–Apr. 2019.

  3. Shinde P. and Shrivas A., “Disease identification system: System implementation and attack,” International Journal of Science and Research (IJSR), vol. 5, no. 8, pp. 83–87, Aug. 2016, doi: 10.21275/ART2016729.

  4. Shinde P. and Shrivas A., “Attacking & preventing an AI based disease identification system,” International Journal of Science and Research (IJSR), vol. 4, no. 5, pp. 2436–2438, May 2015, doi: 10.21275/SUB154727

  5. Jumb V., Sohani M., and Shrivas A., “Color image segmentation using K-means clustering and Otsu’s adaptive thresholding,” International Journal of Innovative Technology and Exploring Engineering (IJITEE), vol. 3, no. 9, pp. 72–76, Feb. 2014.

  6. Ghude M. and Shrivas A., “Machine learning using neural network and evolutionary algorithm,” International Journal of Engineering Research & Technology (IJERT), vol. 3, no. 3, pp. 1824–1828, Mar. 2014, doi: 10.17577/IJERTV3IS031824.

  7. Gujar S. and Shrivas A., “Detection of duplicate record using genetic algorithm,” International Journal of Science, Engineering and Technology, vol. 2, no. 8, pp. 155–157, Nov.–Dec. 2014.

  8. Udani M., Shrivas A., Shukla V., and Rao A., “Question answering system based on artificial intelligence for restricted domain,” International Journal of Computer Applications, 2013.

IEEE Conferences Papers:

  1. Shrivas A. Deshpande S. Gidaye G., Pal N. “Predicting Vocal Pathologies: A Multi- Dataset Machine Learning Framework for Healthcare Applications” International Conference On Intelligent Systems, Advanced Computing And Communication (ISACC 2025) DOI: 10.1109/ISACC65211.2025.10969359, IEEE Xplore: 22 April 2025

  2. Shrivas A. Deshpande S. Rawankar Arpit., Gidaye G “Diagnosis of Illness from Boolean Array of Voice Samples” International Conference on Recent Trends in Engineering and Sciences (RTES 2025)
  3. Pal N., Shrivas A., Roy R., Shetty S., Gidaye G., and Deshpande S., “Predicting vocal pathologies: A multi-dataset machine learning framework for healthcare applications,” in Proc. 2025 3rd Int. Conf. on Intelligent Systems, Advanced Computing and Communication (ISACC), Silchar, Assam, India, Feb. 27–28, 2025, pp. 641–646.
  4. Dhuru S. and Shrivas A., “Using convolutional neural network to detect diabetic retinopathy in human eye,” in Proc. 2021 International Conference on Intelligent Computing and Communication Systems (ICICCS), Advances in Intelligent Systems and Computing, vol. 1272, Springer, 2021,
  5. Dhuru S.  and Shrivas A., “The detection of diabetic retinopathy in human eyes using convolution neural network (CNN),” in Machine Learning for Predictive Analysis” Proceedings of ICTIS 2020, Springer, Singapore, 2020
  6. Kolte C. and Shrivas A., “Intelligent knowledge sharing for agricultural information,” in Proc. 2017 International Conference on Trends in Electronics and Informatics (ICEI), May 2017, DOI: 10.1109/ICOEI.2017.8300906

Course Completions through Industrial Collaborations @ APSIT Thane:

Course Completions through Academic Initiatives @ APSIT Thane:

Projects Guided:

Awards & Achievements:

STTPs & FDPs attended:

  • FDP: "One week FDP on Digital Forensics" Organised by Department of IT and Department of E&CS, TCET, Mumbai
    Duration: 6 Days (2/12/2024 to 07/12/2024)

  • STTP: One week ISTE approved STTP on “Next Generation Communication and Cyber Security” Organised by Department of IT, TCET, Mumbai
    Duration: 6 Days (16/06/2025 to 21/06/2025)

  • STTP One week ISTE approved Industry driven STTP on “AI for secure Computing, Advancing Digital Protection and Intelligence” Organised by Department of IT and Department of CSE Cyber Security, TCET, Mumbai
    Duration: 6 Days (08/12/2025 to 13/12/2025)