माधव प्रौद्योगिकी एवं विज्ञान संस्थान, ग्वालियर (म.प्र.), भारत
Madhav Institute of Technology & Science, Gwalior (M.P.), INDIA

Deemed University

(Declared under Distinct Category by Ministry of Education, Government of India)

NAAC ACCREDITED WITH A++ GRADE

माधव प्रौद्योगिकी एवं विज्ञान संस्थान, ग्वालियर (म.प्र.), भारत

Deemed to be University

(Declared under Distinct Category by Ministry of Education, Government of India)

NAAC ACCREDITED WITH A++ GRADE

Gola Ka Mandir, Gwalior (M.P.) - 474005, INDIA
Ph.: +91-751-2409300, E-mail: vicechancellor@mitsgwalior.in, Website: www.mitsgwalior.in

Faculty Profiles

Dr. Saurabh Agarwal

Dr. Saurabh Agarwal

 
Designation:  Assistant Professor
Qualification:  Ph.D (ABV-IIITM, Gwl), UGC-NET, GATE
Area of Interest:  Medical Imaging, Computer Vision, Deep Learning, AI/ML
Phone No:  8109964724
E-Mail:  This email address is being protected from spambots. You need JavaScript enabled to view it.
 
 
  • About Faculty: Dr. Saurabh Agarwal is an accomplished academic with a Ph.D. in Computer Science & Engineering from ABV-IIITM Gwalior. With over nine years of teaching experience, his expertise spans Deep Learning, Medical Image Processing, and Artificial Intelligence. He has published extensively in reputed journals, including IEEE Transactions and Soft Computing. Dr. Agarwal is a certified Microsoft Technology Associate and has qualified UGC-NET and GATE multiple times. He is actively involved in academic training, research, and institutional development initiatives.
  • Education and Qualification:

    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

  • Honors, Award & Recognition:
    • Qualified the UGC-NET for the position of Assistant Professor in December 2018.
    • Qualified for GATE (CSE) in the years 2009, 2011, 2012, 2015, and 2020.
    • Achieved Microsoft Technology Associate (MTA) certification in Database Administration Fundamentals, with certification number EFAL-XVNr.
    • Winner of Ph.D. poster presentation competition during Atal Research & Incubation Conclave (ARIC) – 2023 held at Technology Innovation & Incubation Center (TIIC), ABV-Indian Institute Technology & Management, Gwalior.
  • Publications:

    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]

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