Bio-Nanophotonics lab
Department of Physical Sciences, IISER Mohali

Welcome to Bio-Nanophotonics (BioNaP) lab. We are an interdisciplinary research group based in IISER Mohali engaged with several exciting research projects where we nurture optics, photonics, acoustics, and tomography. Nanophotonics is one of the leading multi-disciplinary research areas, where our lab, in particular deals with Photo-acoustics, optical tweezers, holography, wavefront shaping, 3D-microscopy and algorithms (PDE, structural defect detection, inverse problems, AI). We combine bio-systems, photonics and ultrasound to design and develop hybrid diagnostics tools for physics, bio-sciences, visualization, and diagnosis.

Our primary research interest lies in instrumentation, modelling, and diagnosis. In pursuing that, we develop algorithms and explore PDEs and model the interaction of soft radiation such as EM-waves including the visible zone, alternating current, magnetic field, ultrasound, etc with soft-matter for estimating various diagnostic parameters at high-resolution scale non-invasively. We have developed various software for 2D/3D FEM, linear and circular back-projections under x-ray, ultrasound and optical radiations and matrix non-inversion techniques for handling ill-posed problem for defect detection and quantification.

If your interest and skill sets are aligned with our research activities then please do not hesitate to write to us your willingness to work with us. In nutshell the keywords of our research activities are focused on the following core area :

 

Our key research areas -

1. Holography, Wavefront Shaping, Photoacoustics and Photoacoustic Tomography, Optoacoustic Tweezers, 3D-microscopy.

2. Sensor fabrication for Ultrasound and Photoacoustics - (Piezo material such as PVDF and it's copolymer-based Ultrasound sensor development).

3. Algorithms, Soft radiation, and  Engineering Physics. Inverse problems for  defect detection in matter.

4. Instrumentation & its design for Contemporary bio-physics Research.

5. Modelling partial differential equations for Radiation matter interaction-

    (FEM, Radon transform, F-K Migration, Greens Function approach, etc. )

6. Coding based projects (C/C++, Python, Matlab, Labview) for Machine learning, AI.

7. Multi-channel DAQ design based on FPGA boards.

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