Mr. Mohd Shaliyar

About

Mohd Shaliyar received his Bachelor of Science degree from the University of Delhi and MCA degree from Jamia Millia Islamia, New Delhi. He has also qualified UGC National Eligibility Test (NET). While pursuing his Ph.D., he worked as a faculty member at the Department of Computer Science, Jamia Millia Islamia. He has also received a Best Paper Award for his research. His research interests include Cyber Security, Digital Watermarking, Machine Learning, and Deep Learning.

Experience

4 years

Qualification

• BSc
• MCA
• Ph.D (Submitted)

Research

• 5

List of Publications:

• Shaliyar, M., & Mustafa, K. (2023). Watermarking approach for source authentication of web content in online social media: a systematic literature review. In Multimedia Tools and Applications (Vol. 83, Issue 18). Springer US.
• https://doi.org/10.1007/s11042-023-17559-0 UGC- Care List SCI, SCIE, IF: 3.6
• Shaliyar, M., & Mustafa, K. (2022, January). Metadata Analysis of Web Images for Source Authentication in Online Social Media. In International Conference on Mathematics and Computing (pp. 75-88). doi: 10.1007/978-981-19-9307-7_7 Singapore: Springer Nature Singapore. SCOPUS(Published)
• Shaliyar, M., & Mustafa, K. (2022), “Source Authentication of Videos Shared on Social Media,” International Conference on Recent Advances in Computer Science and Engineering (ICRACSE-2022), November 26-27, DOI: 10.1201/9781003371380-10, SCOPUS(Published)
• Shaliyar, M., & Mustafa, K. (2023) "Comparative Analysis of DWT, SLT, and SWT for Source Authentication in Online Social Media," 2023 10th International Conference on Computing for Sustainable Global Development (INDIACom), New Delhi, India, 2023, pp. 1504-1509, IEEE, ISBN:978-93-80544-47-2., SCOPUS(Published)
   

Certifications

1

Area of Interest

• Image processing
• Video processing
• Machine Learning
• Deep Learning