Jarjish Rahaman

DC2 – Photon transport modeling and image reconstruction algorithms for multispectral diffuse optical tomography

About Jarjish

Jarjish completed his Bachelor of Science and Master of Science in Mathematics at the University of Gour Banga, India, and obtained a Master of Technology in Software Engineering from Maulana Abul Kalam Azad University of Technology, India. The topic of his master’s thesis was developing efficient, nature-inspired algorithms for satellite image segmentation, augmenting image processing techniques. Following his studies, he joined as a project associate researcher in the CSIR-National Chemical Laboratory, India, for a project entitled “OncoMechanics: Software & Diagnostic Tool for Cancer-related Predictions and Drug target Screening”. Here, he focused on implementing machine learning and deep learning models for brain tumour diagnosis, refining medical image processing techniques, and incorporating a radiogenomics model using deep learning to understand the status of mutational landscape, integrated by explainable artificial intelligence methods. Afterwards, he became a part of the NeuroTech Lab at the Indian Institute of Technology Hyderabad as a junior research fellow.

His research concentrated on Natural Language Processing and text extraction through Artificial Intelligence methodologies. Moreover, he explored Optical character recognition post-processing techniques to streamline textual structures, aiming to render content engine searchable and amplify image reproduction in document management systems

“Thrilled to be part of CONcISE, where my passion for biomedical imaging algins with impactful research. Keen on contributing to this vibrant community!” – Jarjish Rahaman (DC2)

About the research programme

Jarjish’s PhD programme is dedicated to the modelling of light transport in multispectral diffuse-optical tomography, with a keen focus on understanding the measurement situation. Additionally, it delves into inverse problem methods for image reconstruction in adaptive diffuse optical tomography, incorporating compression and the estimation of uncertainties to enhance the robustness and accuracy of the technology. Jarijsh is employed by the University of Eastern Finland and will carry out two secondments throughout his research.