Seminar: Oli – A Multi-Modal Sensor Device, 23rd March, 1pm

When: Thursday 23rd of March, 1pm AEDT

Where: This seminar will be partially presented at the Rose Street Seminar area (J04) and partially online via Zoom, RSVP here.

Speaker: Rishi Ramakrishnan (Baymatob)

Title: Oli – A Multi-Modal Sensor Device


This presentation will provide an overview of the product development journey of the Oli device and its use in animal field trials, human data and a pilot study conducted on a total of 500 subjects in two hospitals. The data gathered from this study has lead to the development of a number of different clinically relevant algorithms, with Baymatob being granted breakthrough designation by the FDA. Current work is currently in progress to start a pivotal clinical trial by the end of 2023.


Rishi Ramakrishnan is Head of Product Development at Baymatob, a medical device startup using AI guided solutions to improve health outcomes for mothers and their babies. He completed his PhD at ACFR and RTCMA in 2016 entitled Illumination Invariant Outdoor Perception, focusing on the use of fused multi-modal sensor data to reduce illumination artefacts in images and hyperspectral data. Prior to Baymatob, Rishi was a post-doctoral researcher at ACFR working with the Agency for Defense Development, South Korea, developing methods for multi-modal object classification. After joining Baymatob, he has played a role in the design and development of machine learning algorithms, software development (backend) and product design of a product for use in pregnancy and labour.


Australian Centre for Robotics