University of Puerto Rico

Contacts

University of Puerto Rico Resource Center for Science and Engineering PO Box 23334 San Juan, PR 00931-3334

cawt@upr.edu

RP - (787) 765-5170 - Ext. 2117
MA - (787) 832-4040 - Ext. 3766

December 2022
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Los fondos otorgados serán destinados a la investigación en el desarrollo de biosensores, inteligencia artificial y materiales y electroquímica de baterías WWW.UPR.EDU El Centro para el Avance de Tecnología Ponible de la UPR adjudica $250K a cuatro profesores nuevos //CAWT 250K Torre UPR RP Wearable Health Technologies Provide enough information for determining health status, and even preliminary medical diagnosis.
Healthcare regimes shift more toward personalized medicine.
Globally wearable sensors will have an average compound annual growth rate of approximately 38% from 2017 to 2025.
The market value of wearables is currently more than $35B worldwide.
//CAWT will Revolutionize
Fundamental R&D
Challenges in WT
looks_one Functional components made of materials that are fully compatible with end users

looks_two Adequate and lasting power to drive the technology of these devices

looks_3 Big data analytics to utilize and manage the steady stream of data generated by the devices
//CAWT will Revolutionize
Jurisdiction WT
Status
WT aligns well with PR’s large medical device industry. Comprised of over 30 operation sites, medical devices account for roughly 13% of the manufacturing jobs in Puerto Rico.
UPR provides ~30% of the industry’s workforce. Demands for a more skilled and interdisciplinary workforce are high. For this reason, the human resources and workforce development components of CAWT are critical to the long-term vitality and prosperity of the Commonwealth.
The NSF EPSCoR Track 1 sponsored CAWT is providing the requisite research infrastructure and training, leading to new knowledge generation and improved academic research capacity necessary for human capital development in WT, economic rejuvenation, and stable long-term growth in PR.
//CAWT will Revolutionize

CAWT News

December 15 @ 3:00 pm – 5:00 pm

NSF EPSCoR CAWT is inviting you to a scheduled Zoom meeting.

Topic: CAWT-Wide Seminar: Development of Solid-State Li-S Batteries
Time: Dec 15, 2022 03:00 PM Puerto Rico
 
Join Zoom Meeting
 
Meeting ID: 879 5848 8419
Passcode: 263265

Dear CAWT Researchers,

The NSF RII Track-1 Center for the Advancement of Wearable Technologies (CAWT) is pleased to announce the following Funding Opportunity: 2022 EXPLORATORY FUNDS COMPETITION TO SUPPORT INTEGRATIVE RESEARCH ACTIVITIES.

Please find attached the competition full description and budget form for this call.

The deadline for submission of proposals is Wednesday, December 14th, 2022, at 5:00 PM or earlier.

Cordially,

Arturo J. Hernandez-Maldonado, PhD
Professor of Chemical Engineering and
Director of the Center for the Advancement of Wearable Technologies

Dear CAWT Researchers, 
 
The NSF EPSCoR Center for the Advancement of Wearable Technologies (CAWT) is pleased to announce the CAWT-Wide Graduate Fellowships for the period of January  December 2023.
 
Please find attached the announcement and the application form.
 
The application deadline is Monday, December 5, 2022 at midnight (AST).

Download: CAWT Wide Seminar Series 4 (Oct 2022)

Use of Deep and Machine Learning for PPG Signals Classification

Presenter: Dr. Heidy Sierra, IRG3/IRG1

Co-Moderators: Dr. Ram Katiyar, IRG2 Co-Leader and Dr. Roberto Delgado, IRG1 Post-doctoral Fellow

Friday, October 28, 2022║ 10:30 AM

Zoom Link: https://us02web.zoom.us/j/83362658470?pwd=YWdzNDZEaG5TVVNqVEFPVmp4Nm85dz09

Passcode: 058718

Topic: CAWT-WIDE Seminar: Electrochemical Measurement of Neuropeptide Y in Sweat for Non-IRG1 members
Time: Aug 26, 2022 12:30 PM Puerto Rico
 

The NSF EPSCoR Center for the Advancement of Wearable Technologies (CAWT) is accepting applications for Fall 2022 Fellowships (August to December).  — > (LINK) < —

Greetings to all:
 
Thanks to your support, we won the “Public choice award” at the NSF- STEM for all video Showcase events. If you have not yet seen the video, you can still watch it at the following link https://stemforall2022.videohall.com/presentations/2532
 
The video became part of the “STEM for all Multiplex” collection, the most extensive collection of videos of initiatives funded by federal agencies to improve education in STEM disciplines.
 
This was possible thanks to the efforts of our scholarship recipients—my special recognition to Carlos Malca, Yelitce Reales, and Claudia Zuluaga.

The funds granted will be used for research in the development of biosensors, artificial intelligence and materials and battery electrochemistry.

With approximately $20M to develop physical and human infrastructure in areas of wearable technology, UPR’s Center for the Advancement of Wearable Technology (CAWT), sponsored by the National Science Foundation (NSF), grants seed money to 4 new professors for research in the three main areas of the proposal: sensors for medical applications, power for those sensors (development of batteries capable of keeping the sensor working) and artificial intelligence.Doctors Abdelrahman Elsaid from the Department of Engineering and Computer Sciences at UPR Mayagüez, José Lugo-Martínez from the Department of Computer Sciences at Río Piedras, Camilo Mora from the Department of Chemical Engineering at UPR Mayagüez and Xianyong Wu from the Department of Chemistry at Río Piedras. UPR.EDU

CAWT Overview

The vision of the Center for the Advancement of Wearable Technologies (CAWT) is to (1) advance the fundamental and applied science of biosensors, portable power/storage, and data analytics to enable next-generation wearables; (2) provide an engaged and diverse workforce for the Nation’s wearable technology (WT) sector; and (3) stimulate economic development in Puerto Rico. By 2019, the market value of wearables will reach $25B worldwide. This number is expected to increase as advances in nanoscience and technologies are used to build devices with functionality and physicochemical characteristics that can then be adapted to WT. PR EPSCoR seeks to leverage existing strengths in nanoscience, nanotechnology, and cyberinfrastructure as well as a host of academic, industry and government partnerships to discover new knowledge and technologies in the basic science underlying WT. CAWT brings together 41 scientists and engineers (including 12 new faculty hires) from five University of Puerto Rico campuses: Mayaguez, Rio Piedras, Medical Sciences, Humacao and Cayey – and one private institution, Universidad del Turabo. Also participating in this effort are 23 partner institutions, including 6 national laboratories and the recently formed NSF ERC for Cell Manufacturing Technologies (CMaT) based at the Georgia Institute of Technology. CAWT is aligned with 2 of the NSF 10 Big Ideas: (a) Work at the Human-Technology Frontier and (b) Harnessing Data for 21st Century Science and Engineering as well as the PR S&T Policy.

// about CAWT

VISION & MISSION STATEMENTs

Vision: To advance the fundamental and applied science of biosensors, portable power, and data analytics to enable next-generation wearables while providing an engaged and diverse workforce for the Nation’s wearable technology (WT) sector, and stimulating the economic development in the Commonwealth in concert with the Jurisdiction’s robust medical device industry.

Mission: Create and sustain an internationally competitive center that will conduct R&D and innovation, insert a WT educational component into the K-20 continuum, promote human resource development in WT, and promote innovation and commercialization in the Jurisdiction.

INTERDISCIPLINARY RESEARCH GROUPS

IRG1
IRG1 - Engineering of Sensors and Biocompatible Technologies for Wearable Devices
Brings together material scientists, engineers, and biologists to understand what governs biomaterial/tissue interactions for use in WT.

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IRG2
IRG2 - Power Sources for Wearable Technologies
will address mechanisms to harness existing low-level energy sources to drive low power wearable devices and investigate new multicomponent battery materials to create new devices capable of low-profile integration.

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IRG3
IRG3 - Big Data Driven Design and Analytics for Wearables
Wearables will develop machine learning and big data tools in their own right as well as support efficient, targeted experimental design in close interaction with the researchers in IRGs 1 and 2.
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