Sayantan Ghosh

- Designed deep learning methodologies for fast on-device face recognition, object detection, and integration with augmented reality systems. - Helped with the IP due diligence for patent applications. - Developed new extended reality applications for industrial and occupational safety.

- Designed pipeline and algorithm for big-data analyses of complex spatio-temporal climate data to understand the regional and zonal effects of sea surface temperature change in the global temperature anomaly. - Designed and implemented an algorithm for analysing satellite derived solar and interplanetary electromagnetic data for estimating the effect of interplanetary radiation on the geo-magnetic activity in the earth’s upper atmosphere.

Designed a deep learning architecture for hyperspectral image classification in remote sensing.

- Developed machine learning techniques for identification of dementia using sensor based locomotor behaviour. - Developed a deep learning algorithm for human activity recognition. - Investigated methods for integrating neuro-psychiatric parameters with sensor based assessments.

- Implemented a multi-dimensional optimisation algorithm to predict the experimental requirements for achieving the theoretical minimum of light matter interaction in ultra high-Q trapping and rotation of optically bi-axial particles in vacuum. - Designed an experimental set-up for optical trapping in vacuum. - Designed a micro vacuum chamber for optical nano-particle levitation.

- Developed a computational package for investigating manifestations of spin orbit interactions in plasmonic nano-particles through Stokes polarimetry. - Investigated the network properties in financial markets through multifractal analysis and developed an unsupervised learning method for classification of high risk equities.

- Developed a wavelet based algorithm for discriminating different stages of cervical cancer using optical scattering spectroscopy. - Employed multifractal analysis of histopathological images to investigate the morphological properties of neoplastic tissues in cervical cancer. - Supervised summer interns on different projects: quantum entanglement, financial time series analysis, computational spectroscopy and biomedical image processing. - Delivered a short course on quantum computation.

- Investigated quantum entanglement dynamics of finite spin chains in the Markov-Born approximation.

- Studied quantum teleportation protocols and open system dynamics of finite Hamiltonian spin chains.