Research 

Laser speckles were demonstrated to be successful in the discrimination of super microplastic particles of various sizes of 2um, 20um and 200um. We also demonstrated that laser speckles, combined with deep learning tools, can even discriminate speckles from a single particle. Such a study needs to be extended to field studies, and we are currently building using 8000m deepsea submersibles to achieve such detection possibility.  We are designing systems incorporating spectroscopic and laser speckle tools to achieve our futuristic aim.

Laser speckles are still under-explored in plant growth studies.  We have demonstrated their use in faster assessing changing environments such as sound and illumination conditions.  However, the origin of signals remains unknown.  We are attempting to explore the physiological origin by developing protocols to elucidate the origin of the speckles reflecting environmental changes.

We are modifying the rapidly developing biomedical imaging diagnostic techniques to extend their usage from a different aspect of studying not just anatomical structures but are interested in temporal modifications resulting as a result of speckles. We are also interested in improving signal-to-noise ratio with biocompatible contrast agents and developing simpler systems by employing modifying signal analysis strategies.

We focus on using wearable brain devices in real-life situations and investigating the attention and memory effects from cross-modal stimuli such as smell or aroma and visual information or music and visual or taste and visual and smell. Such cross-modal are expected to have an influence on the development of displays, augmented reality and virtual reality environments.  Such studies could help in future of brain-inspired robots and also provide objective analysis of data assisting neuromarketing and consumer confidence.