2021

“High Resolution, Deep Imaging Using Confocal Time-of-flight Diffuse Optical Tomography” wins the best-paper runner-up at ICCP 2021. This is a collaborative work between Rice ECE and the Department of Biomedical Engineering at New York University. 

In one of the first studies of its kind, medical and engineering researchers have shown wearable devices that continuously monitor blood sugar provide new insights into the progression of Type 2 diabetes among at-risk Hispanic/Latino adults.

2020

This project aims to develop an intelligent agent for a wide range of workers during the COVID-19 pandemic, to manage both their work- and life-related activities. We will leverage intelligent agents, ubiquitous and affective computing, and machine learning that analyze users’ behavior and emotion, to maintain or even improve their productivity and wellbeing in comparison with work and life outside of the pandemic.

Team member:

Akane Sano, Rice University

Microsoft lead collaborator: Mary Czerwinski

Author: 

Chao Liu (CMU), Akash Maity (Rice), Artur Dubrawski (CMU), Ashu Sabharwal (Rice) and Srinivasa Narasimhan (CMU)

2019

CraveSupport: Measuring and Intervening Craving Moments in Substance Use Disorders (SUD) using Bio-behavioral Sensor

Team members:

Akane Sano (Rice), Ashutosh Sabharwal (Rice), Nidal Moukaddam(Baylor College of Medicine), Ramiro Salas (Baylor College of Medicine)  

” Improving Students’ Daily Life Stress Forecasting using LSTM Neural Networks”

There is an increasing need for passive 3D scanning in many applications that have stringent energy constraints. In this paper, we present an approach for single frame, single viewpoint, passive 3D imaging using a phase mask at the aperture plane of a camera. Our approach relies on an end-to-end optimization framework to jointly learn the optimal phase mask and the reconstruction algorithm that allows an accurate estimation of range image from captured data. Using our optimization framework, we design a new phase mask that performs significantly better than existing approaches. We build a prototype by inserting a phase mask fabricated using photolithography into the aperture plane of a conventional camera and show compelling performance in 3D imaging.

2018

Team members:

Akane Sano, William Marsh Rice University; Tanzeem Choudhury, Cornell University; Deepak Ganesan and Tauhidur Rahman, University of Massachusetts Amherst

2017

Measuring and monitoring any patient’s vital signs is essential for their care. In fact, all care first begins by collecting vital signs like heart rate. The current standard of care is based on monitoring devices that require contact – electrocardiograms, pulse oximeter, blood pressure cuffs, and chest straps. However, contact-based methods have serious limitations for monitoring vital signs of newborns, as they have extremely sensitive skin and most contact-based vital sign monitoring techniques result in skin abrasions, peeling, and damage every time the leads or patches are removed. This could potentially result in infection, increasing the mortality risk to the neonates.

2016

Measuring and monitoring any patient’s vital signs is essential for their care. In fact, all care first begins by collecting vital signs like heart rate. The current standard of care is based on monitoring devices that require contact – electrocardiograms, pulse oximeter, blood pressure cuffs, and chest straps. However, contact-based methods have serious limitations for monitoring vital signs of newborns, as they have extremely sensitive skin and most contact-based vital sign monitoring techniques result in skin abrasions, peeling, and damage every time the leads or patches are removed. This could potentially result in infection, increasing the mortality risk to the neonates.

Measuring and monitoring any patient’s vital signs is essential for their care. In fact, all care first begins by collecting vital signs like heart rate. The current standard of care is based on monitoring devices that require contact – electrocardiograms, pulse oximeter, blood pressure cuffs, and chest straps. However, contact-based methods have serious limitations for monitoring vital signs of newborns, as they have extremely sensitive skin and most contact-based vital sign monitoring techniques result in skin abrasions, peeling, and damage every time the leads or patches are removed. This could potentially result in infection, increasing the mortality risk to the neonates.

2015

2014

2013

The ideal system for monitoring a baby’s health would be as simple as one, two, three. Three teams of senior engineering students at Rice University are working to do so wirelessly in neonatal wards in the developing world.

2012

2011