ABOUT VISHC

The VinUni-Illinois Smart Health Center (VISHC) is a collaboration between VinUniversity (VinUni) and the Grainger College of Engineering at the University of Illinois at Urbana-Champaign (UIUC or Illinois). The center was established to conduct high-impact research on biomedical sensing, informatics, and their applications in smart healthcare. We aim at developing state-of-the-art sensing and digital technologies to provide widely accessible health monitoring and improvement for people all over the world.

Data Science

Data Science

Artificial Intelligence

Artificial Intelligence

Biomedical Sensing

Biomedical Sensing

Telehealth

Telehealth

Learn more about VinUni-Illinois Smart Health Center

Our people

At VISHC, we bring together the brightest interdisciplinarity minds to deliver our mission: develop state-of-the-art sensing and digital technologies to address the challenges and opportunities in modern healthcare systems. Our Faculty, Medical Experts, Research Fellows, PhD Students and Research Assistants are all working together to develop widely accessible tools for health monitoring, screening, and diagnostics
Minh Do, ScD trang chủ

Director

Minh Do, ScD

Honorary Vice Provost, VinUniversity
Professor, Department of Electrical and Computer Engineering, UIUC

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Pham Huy Hieu, PhD

Associate Director & Research Fellow

Pham Huy Hieu, PhD

College of Engineering & Computer Science (CECS), VinUniversity

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Ngo Thi Thanh Hien

Lab Manager & Research Fellow

Ngo Thi Thanh Hien, PhD

VinFuture Foundation Executive Secretary

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Our Projects

Develop innovative solutions for health screening, diagnostic, intervention and follow-up care to serve global population
Privacy-Preserving, Robust, and Explainable Federated Learning Framework for Healthcare System

Privacy-Preserving, Robust, and Explainable Federated Learning Framework for Healthcare System

Bo Li | Kok-Seng Wong | Dam Thuy Trang | Luu Hong Nhung | Khoa Doan
The project focuses on designing a trustworthy federated learning (FL) framework for the healthcare system with theoretical guarantees for its privacy, robustness, and agent-level data valuation and explainability, aiming to make the healthcare systems more efficient and trustworthy.
Wastewater Epidemiological Surveillance in Vietnam

Wastewater Epidemiological Surveillance in Vietnam

The project aims to determine the prevalence of SARS-CoV2 in the selected communities. The project findings will give valuable insights into understanding the evolution of antimicrobial resistance in response to human behavior and community practices, and medical practices. The project will also develop a non-invasive, privacy-preserved tool for epidemiological surveillance for pathogen transmission in local communities.
Point of Care and Telehealth Diagnostics for Data-Driven Smart Health Systems

Point of Care and Telehealth Diagnostics for Data-Driven Smart Health Systems

This project aims to assemble a multidisciplinary collaboration with the goal of developing, demonstrating, and characterizing point of care and self-testing diagnostic technologies that take advantage of the unique properties of photonic metamaterials, MEMS sensors, and molecular biology methods using engineered nucleic acid probes. Our project will pave the way toward a substantially more robust and high-quality collection of biomarker data that, when integrated with a telehealth service system, will form the basis of mass-market products and services for health management.
VAIPE: AI-assisted IoT-enabled smart, optimal, and Protective hEalthcare monitoring and supporting system for Vietnamese

VAIPE: AI-assisted IoT-enabled smart, optimal, and Protective hEalthcare monitoring and supporting system for Vietnamese

The VAIPE project aims to develop a smartphone application that uses the camera and novel AI and visual recognition methods to allow the user to easily digitalize and analyze health records, including doctor’s diagnostics and prescription, daily in-take medication, and readings of medical devices at home. The ultimate goal is to provide ordinary citizens with easy access to timely, reliable, usable, and personalized information and intelligence about their health.
Development of Point-Of-Care Devices to Predict Dengue Infection Status and to Detect Sepsis Biomarkers Principal

Development of Point-Of-Care Devices to Predict Dengue Infection Status and to Detect Sepsis Biomarkers Principal

Develop point-of-care microfluidic approaches to detect multiple dengue or sepsis biomarkers (nucleic acids, cells, and proteins) from the same sample of whole blood. POC testing of these dengue and sepsis biomarkers could accelerate the clinical decision for early detection of dengue and sepsis, respectively. Importantly, the project plans to demonstrate approaches as global health solutions to make our technologies achievable to historically underserved populations in Vietnam and other low-income countries by reducing the existing gaps of required infrastructure and high cost.
Development of Point-Of-Care Devices to Predict Dengue Infection Status and to Detect Sepsis Biomarkers Principal

VinUni-Illinois Smart Health Center
Call for Applications for Research Assistants
Open date: 01/05/2022 – Closing date: 15/06/2022

  • Work with faculty and research follows
  • Solve high-impact real-world problem
  • Conduct research on Al for smart health care
  • Prepare for PhD programs at VinUni and UIUC

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