Ujjal Mandal

Mandal is an emerging researcher in the field of computational acoustics, biomedical ultrasound, and photoacoustic imaging. His work primarily focuses on the development of advanced numerical methods for modeling wave propagation in complex and heterogeneous media, with particular applications in medical imaging and therapeutic ultrasound. Mandal’s research is centered around solving challenging wave equations such as the Helmholtz equation and thermoacoustic wave equations using modern computational techniques. He has made notable contributions to the development and optimization of the Born series formulation, in- cluding GPU-accelerated implementations for large-scale and realistic media simulations. His work in this area has enabled efficient modeling of acoustic fields in biomedical environments, significantly improving compu- tational speed and accuracy. A key aspect of his research involves the integration of numerical frameworks such as the finite-difference time-domain (FDTD) method and k-space pseudospectral methods for simulat- ing ultrasonic and thermoacoustic wave propagation. His studies have provided comparative insights into these techniques, enhancing their applicability in complex petrophysical and biological environments. Mandal has also contributed extensively to photoacoustic imaging, particularly in the quantitative analysis of optical absorption and elastic properties of biological tissues.