AIRA Matrix Private Limited
Pranab Samanta has a diverse work experience in various roles and companies. Pranab started their career as a Lecturer at Swami Vivekananda Institute of Science & Technology in August 2012 and stayed there until June 2014. Pranab then joined Indian Institute of Technology, Kharagpur as a JRF in June 2014 and worked until February 2019. Pranab's most recent position was at AIRA Matrix Private Limited, where they served as an Imaging Scientist from February 2019 onwards. In April 2022, they were promoted to Senior Engineer within the company, and they continue to work there currently.
Pranab Samanta completed their B.Tech degree in ECE from Swami Vivekananda Institute of Science and Technology in the years 2008-2012. Pranab then went on to pursue a Master of Science (MS) degree in E&ECE, specializing in Biomedical signal processing, from the Indian Institute of Technology, Kharagpur in the years 2014-2018.
In addition to their formal education, Pranab has obtained several certifications. Pranab has completed a course titled "Brain Rhythms: Understanding, Measurement, Analysis, and Applications" at IIT Kharagpur. Pranab has also received a certificate of participation to present research papers at the National Conference in Communication (NCC 2018). Pranab has further obtained certifications in "Ethics in Clinical Research - Good Clinical Practice" and "Methods & Techniques in Cognitive and Clinical Neuroscience," both from IIT Kharagpur. Additionally, they have participated in a workshop on "Introduction to Python" organized by IEEE.
AIRA Matrix Private Limited
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AIRA MATRIX is a software company that provides image analysis and management solutions for preclinical toxicology and pathology applications. The company’s decision-support solutions help improve workflow efficiency and increase diagnostic accuracy in research labs, drug discovery studies, and clinics. They develop and design comprehensive DigitalPathology solutions.AIRA MATRIX deep-learning-based platform helps pathologists analyze large volumes of image data and quickly helps focus on relevant study findings. Their solutions go well beyond the simple marking applications currently offered in the industry, instead, their solutions address the more complex workflow processes and image analysis issues faced in pathology reporting.