Key research themes
1. How do contemporary hardware and scanning strategies enhance the speed and accuracy of large-scale and high-resolution scanning?
This theme investigates the architectural designs, hardware optimizations, and scanning methodologies that enable fast, accurate acquisition of large-scale datasets such as Internet-wide network scans, 3D surface scans, and photogrammetric reconstructions. It is critical because efficient data acquisition directly impacts the feasibility and precision of applications across security, robotics, surveying, and cultural heritage digitization.
2. What are the comparative performances and trade-offs of feature detection and scan matching algorithms in accurate 3D scan registration and image matching?
This research theme focuses on the evaluation and benchmarking of feature detection/descriptors and scan matching algorithms fundamental to image registration and 3D data alignment. It addresses algorithmic robustness under variations in scale, rotation, affine transformations, and environmental conditions. The insights inform the selection of computationally efficient and accurate methods essential for applications in robotics, computer vision, and photogrammetry.
3. How do molecular design and characterization methods inform the nonlinear optical properties of advanced materials for photonics applications?
The design, synthesis, and comprehensive characterization—including femtosecond Z-scan experiments—of organic chromophores, perovskite films, and inorganic thin films are explored to elucidate structure-property relationships underlying nonlinear optical (NLO) phenomena like multi-photon absorption and saturable absorption. Understanding these relationships fosters development of efficient materials for optical switching, ultrafast photonics, and related technologies.