M. Hassaballa received his B.Sc. degree in mathematics in 1997 and his M.Sc. degree in computer science in 2003, both from South Valley University, Egypt, and his Doctor of Engineering (D. Eng.) in computer science from Ehime University, Japan in 2011. He is currently an associate professor of computer science at the Faculty of Computers and Information, South Valley University, Egypt. He served as a reviewer for several Journals. He has published 5 books and over 50 research papers in refereed international journals and conferences. His research interests include feature extraction, object detection/recognition, artificial intelligence, biometrics, image processing, computer vision, machine learning, and data hiding..

• 1. Introduction to digital image steganography2. A color image steganography method based on ADPVD and HOG techniques3. An improved method for high hiding capacity based on LSB and PVD4. An efficient image steganography method using multi-objective differential evolution5. Image steganography using add-sub based QVD and side match6. A high capacity invertible steganography method for Stereo image7. An adaptive and clustering-based steganographic method: Osteg8. A steganography method based on decomposition of the Catalan numbers9. A steganography approach for hiding privacy in video surveillance systems10. Reversible steganography techniques: A survey11. Quantum Steganography12. Digital media steganalysis13. Unsupervised steganographer identification via clustering and outlier detection14. Deep Learning in steganography and steganalysis

M. Hassaballa received his B.Sc. degree in mathematics in 1997 and his M.Sc. degree in computer science in 2003, both from South Valley University, Egypt, and his Doctor of Engineering (D. Eng.) in computer science from Ehime University, Japan in 2011. He is currently an associate professor of computer science at the Faculty of Computers and Information, South Valley University, Egypt. He served as a reviewer for several Journals. He has published 5 books and over 50 research papers in refereed international journals and conferences. His research interests include feature extraction, object detection/recognition, artificial intelligence, biometrics, image processing, computer vision, machine learning, and data hiding..

• 1. Introduction to digital image steganography2. A color image steganography method based on ADPVD and HOG techniques3. An improved method for high hiding capacity based on LSB and PVD4. An efficient image steganography method using multi-objective differential evolution5. Image steganography using add-sub based QVD and side match6. A high capacity invertible steganography method for Stereo image7. An adaptive and clustering-based steganographic method: Osteg8. A steganography method based on decomposition of the Catalan numbers9. A steganography approach for hiding privacy in video surveillance systems10. Reversible steganography techniques: A survey11. Quantum Steganography12. Digital media steganalysis13. Unsupervised steganographer identification via clustering and outlier detection14. Deep Learning in steganography and steganalysis

M. Hassaballa received his B.Sc. degree in mathematics in 1997 and his M.Sc. degree in computer science in 2003, both from South Valley University, Egypt, and his Doctor of Engineering (D. Eng.) in computer science from Ehime University, Japan in 2011. He is currently an associate professor of computer science at the Faculty of Computers and Information, South Valley University, Egypt. He served as a reviewer for several Journals. He has published 5 books and over 50 research papers in refereed international journals and conferences. His research interests include feature extraction, object detection/recognition, artificial intelligence, biometrics, image processing, computer vision, machine learning, and data hiding..

• 1. Introduction to digital image steganography2. A color image steganography method based on ADPVD and HOG techniques3. An improved method for high hiding capacity based on LSB and PVD4. An efficient image steganography method using multi-objective differential evolution5. Image steganography using add-sub based QVD and side match6. A high capacity invertible steganography method for Stereo image7. An adaptive and clustering-based steganographic method: Osteg8. A steganography method based on decomposition of the Catalan numbers9. A steganography approach for hiding privacy in video surveillance systems10. Reversible steganography techniques: A survey11. Quantum Steganography12. Digital media steganalysis13. Unsupervised steganographer identification via clustering and outlier detection14. Deep Learning in steganography and steganalysis