Gola Ka Mandir, Gwalior (M.P.) - 474005, INDIA
Ph.: +91-751-2409300, E-mail: vicechancellor@mitsgwalior.in, Website: www.mitsgwalior.in
In the faculty of Computer Science & Engineering and Information Technology from the Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, India.
In the Information Technology (IT) discipline from the Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, India.
In the Information Technology discipline from the Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, India.
From the National Law Institute University, Bhopal
24th March 2025 to Present
MADHAV INSTITUTE OF TECHNOLOGY & SCIENCE, GWALIOR (M.P.), INDIA
Deemed University (Declared under Distinct Category by Ministry of Education, Government of India)
Selected for a Post-Doctoral Fellowship at Labex Primes, Université de Lyon, France.
Awarded Research Fellowships from the MP Council of Science & Technology, Bhopal (2017, 2018, 2019).
PhD in Computer Science & Engineering (Dec 2023)
M.Tech in Information Security (Jul 2016 - Jun 2018)
B.E in Information Technology (Aug 2011 - Jun 2015)
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]
Doctor of Philosophy (Ph.D.) in Computer Science & Engineering
National Institute of Technology (NIT), Silchar, Assam.
Master of Technology (M.Tech.) in Computer Science & Engineering
Chhattisgarh Swami Vivekanand Technical University (CSVTU), Bhilai.
Bachelor of Technology (B.Tech.) in Computer Science & Engineering
Pt. Ravishankar Shukla University (Pt. RSSU), Raipur.
Over 9 years of teaching experience in Computer Science & Engineering at the undergraduate and postgraduate levels.
. DST-SERB SPONSOREDONE-WEEKHIGH ENDWORKSHOP(Karyashala) on ’Hands on Training on Computational Intelligence
for Health Informatics and Wearable Device Data Analysis by NIT Silchar and under Vigyan Scheme
•Machine Learning and Computer Vision Applications, Research Challenges: MLCV-2020 by NIT Silchar and Guwahati University.
M. Roy and U. Baruah,
“Enhancing medical image classification through controlled diversity in ensemble learning,”
Engineering Applications of Artificial Intelligence, Vol. 133, p. 108138, 2024.
DOI: 10.1016/j.engappai.2024.108138
M. Roy, U. Baruah, and V. Varma,
“TransDL: A transfer learning-based concatenated model for COVID-19 identification and analysis of posteroanterior chest X-ray images,”
Multimedia Tools and Applications, Springer, pp. 1–23, 2023.
DOI: 10.1007/s11042-023-16825-5
M. Roy and U. Baruah,
“Challenges in COVID-19 detection and the imperative for improved methods,”
Presented at 2nd Hinweis International Conference on Advanced Research in Engineering and Technology (ARET 2024).
Scopus Indexed – Accepted, 2024
Jigyasa Mishra, Kapil Sharma “Analysis and Investigation on Cluster Based Routing Algorithms in WSN”
published in International Journal Computer Science Network, vol. 5 No.1 June 2015, pp 29-34.
M.Tech.(Computer science and Engineering ) from RGPV University Gwalior in year 2019.
B.E.(Information Technology ) from MITS College Gwalior in year 2017.
4Nov 2022 to Present: Assistant Professor at MITS Gwalior.
27 Dec 2020 to 02 Oct 2023: Assistant Professor at Nagaji Institute of Technology & Management, Gwalior.
Abhishek Rajawat, Manisha Pathak, Ashish Gupta " Brain Tumor Detection with Chain - Vese Segmentataion Using Ansidoff - Filter" IJIRSET, Volume 11, Issue 7, July 2022, DOI:10.15680/IJIRSET.2022.1107161
Shailendra Pal, Manisha Pathak, Aashish Gupta " An Approach for Fake News Detection by using Deep Learning Technique " " IJIRSET Volume 11, Issue 7, July 2022, DOI:10.15680/IJIRSET.2022.1107160
Ritesh Mourya, Manisha Pathak " Heart Disease Detection using Data Mining" IJIRSET Volume 11, Issue 3, March 2022, DOI:10.15680/IJIRSET.2022.1103083
Priyanka Srivastava, Ashish Gupta, Manisha Pathak " Content Based Image Retrieval System Using
Improved GSA Algorithm" IJIRSET Volume 11, Issue 2, February 2022, DOI:10.15680/IJIRSET.2022.1102011
