YuanYuan Ma | Image Steganography and Steganalysis | Best Researcher Award

Assoc. Prof. Dr. YuanYuan Ma | Image Steganography and Steganalysis | Best Researcher Award

Teaching Secretary | Henan Normal University | China

Assoc. Prof. Dr. Ma Yuanyuan is an accomplished Associate Professor and Master’s Supervisor at the School of Computer and Information Engineering, Henan Normal University, Xinxiang, China. Holding a Ph.D. in Computer Science, she has established herself as a leading researcher in network and information security, granular computing, data mining, image steganalysis, and rough set theory. Her scholarly pursuits lie at the intersection of artificial intelligence and digital forensics, with a focus on developing intelligent and secure data analysis frameworks to safeguard multimedia and information systems.With a distinguished academic record, Dr. Ma has authored 50 research papers indexed in Scopus, which have garnered 535 citations from 474 scholarly documents, resulting in an h-index of 13. Her extensive research collaborations span 94 co-authors, reflecting her strong interdisciplinary engagement and contribution to collective scientific advancement. Her works have been featured in several high-impact journals, including IEEE Transactions on Information Forensics and Security, Scientific Reports, IET Image Processing, and Chinese Journal of Computers. Notable recent publications include “An Image Robust Batch Steganography Framework with Minimum Embedding Signs” (IEEE TIFS, 2025) and “LGS-Net: A Lightweight Convolutional Neural Network Based on Global Feature Capture for Spatial Image Steganalysis” (IET Image Processing, 2025).Dr. Ma has successfully led and contributed to national and provincial-level research projects, including those funded by the National Natural Science Foundation of China (NSFC) and the Henan Provincial Natural Science Foundation. Her work has been recognized with several prestigious awards, such as the First Prize of the Henan Provincial Natural Science Award and the ACM Zhengzhou Rising Star Award, underscoring her academic excellence and leadership in research innovation.Beyond academia, Dr. Ma’s research contributes significantly to societal information security, enhancing digital privacy protection, secure communication, and data integrity in an era of growing cyber threats. Through her pioneering contributions, she continues to advance the frontiers of intelligent computing and cybersecurity, inspiring innovation and collaboration across the global research community.

Profiles: Scopus

Featured Publications

1. Ma, Y., (2025). Digital image steganalysis network strengthening framework based on evolutionary algorithm. Scientific Reports.

2.Ma, Y., (2025). Siamese network and cross-attention for spatial and JPEG image steganalysis. Jisuanji Xuebao (Chinese Journal of Computers).

3.Ma, Y.,  (2025). An active defense method for image covert communication based on S&P and Rec-Net. Jisuanji Xuebao (Chinese Journal of Computers).

4.Ma, Y.,  (2025). LGS-Net: A lightweight convolutional neural network based on global feature capture for spatial image steganalysis. IET Image Processing. Cited By : 1

5.Ma, Y.,  (2025). An image robust batch steganography framework with minimum embedding signs. IEEE Transactions on Information Forensics and Security.

Assoc. Prof. Dr. Ma Yuanyuan pioneering research in network security, data mining, and image steganalysis enhances global digital trust and information protection, empowering secure communication and intelligent data analysis. Her innovations bridge scientific discovery and real-world cybersecurity, fostering technological resilience and societal safety in the digital age.

Mr. Mohamed Neji | Biometrics and Security | Best Researcher Award

Mr. Mohamed Neji | Biometrics and Security | Best Researcher Award

Mohamed Neji at University of Sfax, Tunisia

👨‍🎓 Profiles

Scopus

Deep keypoints adversarial attack on face recognition systems

  • Authors: BenSaid, E., Neji, M., Jabberi, M., Alimi, A.M.
  • Journal: Neurocomputing
  • Year: 2025

Deep learning methods for early detection of Alzheimer’s disease using structural MR images: a survey

  • Authors: Hassen, S.B., Neji, M., Hussain, Z., Alimi, A.M., Frikha, M.
  • Journal: Neurocomputing
  • Year: 2024

Facial Dataset Anonymization: Striking the Balance between Privacy and Utility

  • Authors: Bensaid, E., Neji, M., Chabchoub, H., Ouahada, K., Alimi, A.M.
  • Journal: IEEE Access
  • Year: 2024

A Hybrid Approach Using 2D CNN and Attention-Based LSTM for Parkinson’s Disease Detection from Video

  • Authors: Krichene, E., Jarraya, I., Dhieb, T., Ouahada, K., Alimi, A.M.
  • Journal: Lecture Notes in Computer Science
  • Year: 2024

Parkinson’s Disease Detection From Online Handwriting Based on Beta-Elliptical Approach and Fuzzy Perceptual Detector

  • Authors: Allebawi, M.F., Dhieb, T., Neji, M., Beyrouthy, T., Alimi, A.M.
  • Journal: IEEE Access
  • Year: 2024

Mrs. Emna BenSaid | Biometrics and Security | Best Researcher Award

Mrs. Emna BenSaid | Biometrics and Security | Best Researcher Award

Emna BenSaid at National School of Engineers of Sfax, Tunisia

👨‍🎓 Profiles

Scopus

Orcid

Deep keypoints adversarial attack on face recognition systems

  • Authors: BenSaid, E., Neji, M., Jabberi, M., Alimi, A.M.
  • Journal: Neurocomputing
  • Year: 2025

Facial Dataset Anonymization: Striking the Balance between Privacy and Utility

  • Authors: Bensaid, E., Neji, M., Chabchoub, H., Ouahada, K., Alimi, A.M.
  • Journal: IEEE Access
  • Year: 2024

FaceAnonym: Face Anonymization Model via Latent Space Mapping

  • Authors: Bensaid, E., Neji, M., Alimi, A.M.
  • Journal: Proceedings – 2023 International Conference on Cyberworlds
  • Year: 2023

Natural Face Anonymization via Latent Space Layers Swapping

  • Authors: Bensaid, E., Neji, M., Alimi, A.M.
  • Journal: Proceedings – IEEE Symposium on Computers and Communications
  • Year: 2023