I am looking for M. Tech and Ph.D students with strong interest in working on advanced imaging sensors. Though we are surrounded by displays and imaging sensors all around us (Mobile phones, Displays, Touchscreens) there are still many problems to be solved.
As John Berger and Jean Mohr quotes "A photograph quotes from appearances, but in quoting, simplifies them". The primary objective of our research would be to simplify the perceived visual world (i.e. the photograph) while still enjoying photography. In the process, we would have to innovate and put forward ideas to questions like
- How can high dynamic range be obtained in image sensors? How does nature manages high dynamic range?
- Is resolution imaging better in machine vision application than binary imaging?
- What's the best stratergy for high speed motion detection?
- What's the best way forward for imaging under water? Among contrast imaging, intensity imaging, colour imaging and polarization imaging which one is better suited?
- Is SPADs the only answer to single photon counting?
- What are the ways in which a very very low noise image sensor for medical applications can be designed?
- What happens to silicon when bombarded with X-rays? Can this information be used for designing radiation tolerant and further radiation detection sensor?
- Can image sensors be used as temperature sensors?
- How does interface states contribute to noise? Can the probabilitc nature of these noise actually be helpful?
- Why the nature continued with polarization imaging while human eyes are polarization blind?
- Can polarization of sky light act as a compass and a GPS-system?
- Can the wireless transfer of images be simplified?
- Is TOF the only way for depth sensing (3D Imaging)? How does optical flow helps?
- How does pixel level processing help in indoor/outdoor navigation of autonomous agents?