Ms. Syeda Amna Rizwan

Associate Lecturer

Syeda Amna Rizwan is working as an Associate Lecturer in the Computer Science Department of the Capital University of Science and Technology (CUST), Islamabad, after completing her MSCS Degree from Air University. She was working as a Software Developer in the National Center of Cyber Security and Forensics (NCF), Air University, Islamabad. Her research interests are machine learning, expressions recognition, person recognition and age estimation. She has authored five research papers in international journals and proceedings.

MS Computer Science Air University, Islamabad 2021
BS Software Engineering Iqra University, Islamabad 2018

1. Machine Learning
2. Facial Expressions Recognition
3. Age Estimation
4. Person Recognition

1. S. A. Rizwan, A. Jalal, M. Gochoo, and K. Kim, “Robust active shape model via hierarchical feature extraction with SFS-optimized convolution neural network for invariant human age classification,” Electronics, vol. 10, no. 4, p. 465, 2021.
2. M. Gochoo, S. A. Rizwan, Y. Y. Ghadi, A. Jalal, and K. Kim, “A systematic deep learning based overhead tracking and counting system using RGB-D remote cameras,” Applied Sciences, vol. 11, no. 12, p. 5503, 2021.
3. S. Amna Rizwan, Y. Yasin Ghadi, A. Jalal, and K. Kim, “Automated facial expression recognition and age estimation using Deep Learning,” Computers, Materials & Continua, vol. 71, no. 3, pp. 5235–5252, 2022.
4. S. A. Rizwan, N. Alsufyani, M. Shorfuzzaman, M. Alarfaj, A. Jalal, and K. Kim, “Automatic fiducial points detection for multi-facial expressions via invariant features and multi-layer kernel sliding perceptron,” Journal of Electrical Engineering & Technology, 2022.
1. S. Amna, A. Jalal and K. Kim, “An Accurate Facial expression detector using multi-landmarks selection and local transform features”, IEEE ICACS conference, 2020.

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