Area of Interest: Medical Imaging, Computer Vision, Deep Learning, AI/ML
Phone No: 8109964724
E-Mail:
Gola Ka Mandir, Gwalior (M.P.) - 474005, INDIA
Ph.: +91-751-2409300, E-mail: vicechancellor@mitsgwalior.in, Website: www.mitsgwalior.in
Doctor of Philosophy at ABV-IIITM, Gwalior, India 2024
- Ph.D. in Computer Science and Engineering (CSE), ABV-Indian Institute of Information Technology & Management, Gwalior – 474015, India.
- Thesis Title: Models for Diagnosis of Pulmonary Diseases using Deep Learning Techniques
1. S. Agarwal, K. V. Arya and Y. Kumar Meena, "CNN-O-ELMNet: Optimized Lightweight and Generalized Model for Lung Disease Classification and Severity Assessment," in IEEE Transactions on Medical Imaging, vol. 43, no. 12, pp. 4200-4210, Dec. 2024, doi: 10.1109/TMI.2024.3416744 [SCI IF: 8.9].
2. S. Agarwal, K. V. Arya, and Y. K. Meena “MultiFusionNet: Multilayer Multimodal Fusion of Deep Neural Networks for Chest X-Ray Image Classification,” in Soft Computing vol. 28, pp. 11535–11551, Oct. 2024, DOI: 10.1007/s00500-024-09901-x, 2024 [SCI IF: 3.1].
3. S. Agarwal and K. V. Arya, “CXRNet: CNN Attention based CXR image classifier,” Expert Systems, 42(1), e13423, Aug 2023, DOI: 10.1111/exsy.13423 [SCI IF: 3].
4. S. Agarwal and K. Agarwal, "Pi-calculus based formal verification of Web Services Composition," International Journal of Grid and Distributed Computing, vol. 8, no. 5, pp. 137–140, 2015 doi: 10.14257/ijgdc.2015.8.5.13. [ESCI Indexed]
5. S. Agarwal, K. V. Arya, and Yogesh Kumar Meena “RL-ACRGNet: Reinforcement Learning based Automatic Radiology Report Generation Model on Chest X-ray images,” Journal of Supercomputing, Springer 2024. [Under revision] [SCI IF: 3.3]
6. S. Agarwal and K. V. Arya, “Covid-19 & Pneumonia Detection Using Multi Model Fusion,” International Journal of Engineering Sciences, vol. 14, no. 4, 2022, doi: 10.36224/ijes.140401.
7. S. Agarwal, N. Tiwari, and M. Dubey, “Checking of web services composition through online movie ticket booking example,” International Journal of Computer Science Research, vol. 5, no. 1, pp. 1-5, 2017.
8. S. Agarwal, S. Tiwari, and S. Pathak, “Describing and Verifying Web Services Composition using PICalculus,” International Journal of Current Engineering and Scientific Research (IJCESR),pp. 89–93, ISSN (PRINT): 2393-8374, (ONLINE): 2394-0697, VOLUME-3, ISSUE-1, 2016, doi:10.21276/Ijcesr.
9. S. Pathak, S. Tiwari, and S. Agarwal, “Digital Image Watermarking in wavelet domain using chaotic sequence,” International Journal of Current Engineering and Scientific Research (IJCESR), pp. 76–81, ISSN (PRINT): 2393-8374, (ONLINE): 2394-0697, VOLUME-3, ISSUE-1, 2016, doi:10.21276/Ijcesr.
National/ International Conferences–
1. A. Verma, S. Agarwal, K. V. Arya, I. Petrlik, R. Esparza and C. Rodriguez, "Image Captioning with Reinforcement Learning," 2023 IEEE International Conference on Computer Vision and Machine Intelligence (CVMI), Gwalior, India, 2023, pp. 1–7, doi: 10.1109/CVMI59935.2023.10464514. [Scopus]
2. S. Agarwal, D. Yashwanth, K. V. Arya, C. Rodriguez, and P. Lezama, “Enhanced Bidirectional GRUs with Self-Attention for Medical Image Report Generation: A Deep Learning Approach,” Accepted in 8th International Conference on Intelligent Technologies (ICIT) 2023 at University of Matana, Jakarta, Indonesia. [Scopus]
3. M. Kourav, S. Agarwal, K. V. Arya, I. Petrlik, and C. Rodriguez, “Automatic Chest Radiology Report Generation Using Reinforcement Learning,” Proceedings of 7th ASRES International Conference on Intelligent Technologies, pp. 239–247, 2023. doi: 10.1007/978-981-99-1912-3-22. [Scopus]
4. S. Agarwal, S. Tiwari, and S. Pathak, “Describing and Verifying Web Services Composition using PI-Calculus,” Proceedings of International Conference on Futuristic Trends in Engineering, Science, Humanities, and Technology, pp. 119–123, 2016.
5. S. Pathak, S. Tiwari, and S. Agarwal, “Digital Image Watermarking in wavelet domain using chaotic sequence,” Proceedings of International Conference on Futuristic Trends in Engineering, Science, Humanities, and Technology, pp. 108–113, 2016.
6. Attend the international conference at the “International Conference on Artificial Intelligence and Soft Computing” (AISC-12) held in IIT, BHU, Varanasi, 2012. [IEEE UP Section]