Associate Professor, Electrical and Computer Engineering
Aswin is the PI of the Image Science Lab and his research interests are broadly in building imaging systems. His areas of expertise include compressive sensing, computational photography, signal processing and machine vision.
Aswin's research deals with understanding the interaction of light with materials, devising theories and imaging architectures to capture these interactions, and finally developing a deeper understanding of the world around us based on these interactions. While these interactions involve very high-dimensional signals, there are underlying structures that enable them to be modeled parsimoniously using low-dimensional models.
His research identifies low-dimensional models for high-dimensional visual signals using both physics-based and learning-based formulates, and develop imaging architectures and algorithms that exploit these low-dimensional models for efficient sensing and inference.
- Role of signal models in breaking traditional sensing and processing limitations
- Co-design of optics/imaging and processing for novel sensor design
- Use of non-linear signal models for efficient sensing and processing of high-dimensional data
- Compressed sensing and image processing
- Big data
- Computer vision
- Signal processing