Ms. Sapna Yadav

About

Ms. Sapna Yadav is working as an Assistant Professor at the Department of Computer Science and Applications, Sharda University. She is pursuing her Ph.D (Computer Science) from Jamia Millia Islamia, completed M. E.(CSE) from Panjab University, B.Tech.(CSE) from UPTU, Lucknow.  She has more than 10 years of extensive experience in the Academics. Her research interests span diverse areas including Image Processing, Machine Learning, and Deep Learning. She has also qualified national level exams UGC(NET) and GATE. She has numerous research paper publications in reputed Journals and National and International conferences. She has also published 3 Indian patents and authored 3 books. Her dedication to excellence is evident in her contributions to educational development, hands-on training programs, and her role in fostering innovation and academic growth.

Experience

10+ Years

Qualification

•    B.Tech.(CSE) Uttar Pradesh Technical University Lucknow, 
•    M.E.(CSE) Panjab University Chandigarh, 
•    PhD (Computer Science) pursuing from Jamia Millia Islamia A Central University New Delhi
•    Qualified “UGC NET”
•    Qualified “GATE”.
 

Award & Recognition

•    Research paper titled " Pulmonary Tuberculosis Screening with an Optimized Deep Learning Method for Varying Image Resolutions" awarded Best Paper in International Conference on Interdisciplinary Research in Technology & Management (IRTM), IIT Delhi 21 April 2023.

•    Research paper titled "Performance evaluation of different versions of 2D Torus network." awarded Best Paper in International Conference on Advances in Computer Engineering and Applications (ICACEA), IEEE Conference, 2015, Ghaziabad.

•    Research paper titled “CCTorus: A New Torus Topology for Interconnection Networks” awarded Best Paper in International Conference on Advanced Computational Technologies and Creative Media (ICACTCM2014), Pattaya, Thailand.
 

Research

• Published 3 Patent
• Published 3 Books
• Authored 17 research papers in various reputed International / National Journal and Conferences.

List of Publications:
1.   Sapna Yadav et al., “Detection of Lung Diseases for Pneumonia, Tuberculosis, and Covid-19 with Artificial Intelligence Tools”, SN Computer Science, March 2024, DOI: 10.1007/s42979-024-02617-7. (Scopus Indexed)
2.   Sapna Yadav et al. "Bayesian-based binary compression with bandwidth optimisation for UAV aerial images." International Journal of Engineering Systems Modelling and Simulation 15.2 (2024): 53-62. (Scopus Indexed)
3.   Sapna Yadav et al., “A Comprehensive Approach to AI-Enabled Diagnosis of Lung Diseases: Utilizing Pretrained Models for Fibrosis, Tuberculosis, and Covid-19 Detection”, Proceedings of the 5th International Conference on Artificial Intelligence and Speech Technology 2023 (AIST 2023), IGDTUW, New Delhi, 26th December 2023. (Scopus Indexed)
4.   Sapna Yadav et al. "Pulmonary Tuberculosis Screening With an Optimized Deep Learning Method for Varying Image Resolutions." In Interdisciplinary Research in Technology and Management, pp. 562-569. CRC Press
5.  Pankaj Agarwal, Sapna Yadav, Juhi Chaudhary, “How India and its Neighbors are doing during Covid-19 Pandemics- A Critical Analysis”, International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-9 Issue-3, September 2020 pp. 75-79.  
6.   Sapna Yadav et al., “Influenza Prediction - Analyzing Machine Learning Algorithms”, Asian Journal of Computer Science Engineering & Technology, June 2020.   
7.   Sapna Yadav et al., "Predictive Model for Analyzing PM 2.5 level of Air quality", Proceedings of the International Conference on Innovative Computing & Communications (ICICC) 2020, January 17-19, 2020. 
8.   Maghvendra, Harshit Saran, Sapna Yadav, “Air Pollution Prediction using Machine Learning” In International Journal of Innovations in Engineering and Science, ISSN: 2456-3463, Vol. 4, No.6, 14 – 18, 2019.
9.   Sapna Yadav et al., “Performance Evaluation of Routing Protocols AODV, DSR, LMR, and TORA” In Proceedings of National Conference on Recent Trends in Computational Intelligence RTCI17, 11-Nov, 2017.
10.   Sapna Yadav et al., “Performance Analysis of Different Interconnection Networks”. IJCA Proceedings on Recent Trends in Future Prospective in Engineering and Management Technology RTFEM 2016(2):16-19, July 2016.
11. Sapna Yadav et al., "Performance evaluation of different versions of 2D Torus network." In Computer Engineering and Applications (ICACEA), 2015 International Conference on Advances in Computer Engineering and Applications, pp. 178-182. IEEE, 2015. (Scopus Indexed)
12. Umesh Gupta, Sapna Yadav, “A Survey: Emerging Trends and Technologies in Communication Networks”, Proceeding of National Conference on National Conference on Computing Technologies, NITTTR, Chandigarh, March 2015.
13. Sapna Yadav et al., “CCTorus: A New Torus Topology for Interconnection Networks”, Proceeding of International Conference on Advanced Computational Technologies and Creative Media (ICACTCM2014), Pattaya Thailand, Aug 2014. 
14. Sapna Yadav et al., “Performance Evaluation of 2D Torus Network using CBR and FTP Traffic”, Proceeding of International Conference of Computer Network and Information Technology, (ICCNIT-2014) NITTTR Chandigarh, 20-21 March,2014.
15. Lalit Arora, Sapna Yadav, “Performance Analysis of Interconnection Networks for Packet Delay using Source Routing." IJCA Special Issue on Issues and Challenges in Networking, Intelligence and Computing Technologies 2 (2012): 1-5.
16. Lalit Arora, Sapna Yadav, “Simulating for Packet Loss in Mesh with Source Routing”, Proceeding on International Conference on Communications and Electronics, ICCE(1), ISBN: 978-93-81583-69-2,pg:457-461 19-20 October, 2012.
17. Lalit Arora, Sapna Yadav, “A Survey on Recent Enhancements of Interconnection Networks”, Proceeding on International Conference on Recent Trends in Computing, ICRTC(1), 4-5 October, 2012.
18.Lalit Arora, Sapna Yadav, “Performance Analysis of Mesh for packet loss using CBR”, Proceeding on National Conference on Emerging Trends in Information Technology, ISBN: 978-93-81212-30-1, 24 Nov 2012.
 

Certifications

•    IBM Certified Data Science Professional Certification (2021)
•    8 IBM certifications and 4 NPTEL certification courses in the area of Data Science, Machine Learning, and Python 
 

Area of Interest

• Data Science
• Machine Learning
• Data Structures and Algorithm Design