Image Processing, Digital Image Forensics, Machine Learning
Doharra Mafi, Aligarh.
Time Table (Second & Fifth Semester) 2021 - 2022Time Table (I, III, and VI Sem) 2021-2022Time Table (Even Semesters) 2022 - 2023
Ms. Syeda Shira Moin completed M.Tech (Software Engineering) and B.Tech (Computer Science & Engineering) in the year 2017 and 2013, respectively. She has worked as Assistant Professor in the Department of Computer Engineering, AMU, from August 2017 to July 2018, where she is also currently pursuing Ph.D. degree. She is GATE and NET qualified and her research areas include Image Processing, Digital Image Forensics, and Machine Learning.
Presently, she is employed as Guest Teacher in Computer Engineering Section at University Women's Polytechnic, AMU, Aligarh from September 2018 to date.
- Syeda Shira Moin, Saiful Islam, “Benford's law for detecting contrast enhancement”, Fourth International Conference on Image Information Processing (ICIIP), IEEE, 2017.
- Nadia Siddiqui, Syeda Shira Moin, and Saiful Islam, “Analysis of Denoising Filters for Source Identification using PRNU features”, International Conference on Soft Computing and Signal Processing (ICSCSP), 2018.
- Nadia Siddiqui, Syeda Shira Moin, and Saiful Islam, “CAMMOD: Convolutional Neural Network Based Camera Model Identification”, Fourth International Conference on Information and Communication Technology for Competitive Strategies, 2019.