I completed my Ph.D. from Electrical and Computer engineering department at Rice University in April 2018 and was a member of the Scalable Health) lab. I worked with Dr. Ashu Sabharwal and Dr. Ashok Veeraraghavan and actively collaborated with Dr. James Suliburk at Baylor College of Medicine for evaluation and translation of new medical technologies into clinical practice.
Ph.D. research: As part of my Ph.D. research, I have developed a new camera-based non-invasive and clinically proven blood flow imaging modality, named PulseCam, that can reliably measure the flow of blood (microcirculation) underneath the skin surface from only the video recording of the skin surface. PulseCam has potential clinical applications in surgery, critical care and as a point-of-care device to diagnose peripheral arterial disease, and to monitor wounds and burns. PulseCam has already been evaluated to monitor microcirculation in patients undergoing surgery.
Research interests: My research interest is in developing health monitoring systems that can reliably and continuously measure people's health at the comfort of their homes and offices, e.g., by utilizing cameras, wearables, and implantables. I also have a keen interest in predictive machine learning and deep learning algorithms that can model the state of a person's health as it evolves so that we can provide actionable feedback to the individual and the caregiver to improve health outcomes.Downlaod my CV Know more about my projects
- Mayank Kumar, James Suliburk, Ashok Veeraraghavan and Ashutosh Sabharwal, "PulseCam: High-resolution blood perfusion imaging using a camera and a pulse oximeter," Engineering in Medicine and Biology Society (EMBC) (to be presented during 38th IEEE EMBC conference in Orlando, FL in August, 2016)
- Peter Washington, Mayank Kumar, Anant Tibrewal, and Ashutosh Sabharwal, "ScaleMed: A Methodology for Iterative mHealth Clinical Trials", IEEE Healthcom 2015 - SSH 2015.
Recent Posters and Demos
- Mayank Kumar, Ashok Veeraraghavan, and Ashutosh Sabharwal, 'DistancePPG: Robust webcam-based vital signs monitoring', ICCP 2015.