As a researcher, my primary goals are to improve existing techniques and invent new paradigms that will hopefully inspire other researchers. My primary research areas are wavelet analysis, as well as signal, image and video processing. In addition, my current interests and on-going research topics include, but are not limited to:
(1) Image and video compression: I am interested in improving current techniques and proposing innovative ideas to add functionality to, and enhance the performance of, current/next generation coding systems.
(2) Texture representation, analysis and synthesis: Despite the development of several interesting applications, texture is still an un-solved problem scientifically. Although I am interested in solving texture problems, my ultimate goal is to devise a successful representation of textures.
(3) Multimedia security: I study robust transmission of multimedia data, as well as problems related to watermarking, data hiding, and digital forensics.
(4) Wavelet analysis and time-frequency analysis: Having studied wavelets for many years since obtaining my Ph.D., I am interested in several advanced wavelet techniques – both theoretical and practical. I have co-authored a book on time-frequency analysis, and I am currently using time-frequency methods to process oscillatory signals.
(5) Data analysis – I study various data analysis methods that can be applied to signal, image, video, and pattern recognition problems.
(6) Random algorithm –I am very attracted by the simplicity and beauty of random algorithms. Hence, I hope to develop more random algorithms in my research areas.
In summary, I like to study and develop new methods because I derive immense satisfaction from solving complex problems.