About us

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.

Learn more about VinUni-Illinois Smart Health Center
  • Data Science

    Data Science
  • Artificial Intelligence

    Artificial Intelligence
  • Biomedical Sensing

    Biomedical Sensing
  • Telehealth

    Telehealth

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

Principal Investigators & Key Members:
Bo Li | Kok-Seng Wong | Dam Thuy Trang | Luu Hong Nhung
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

Principal Investigators & Key Members:
Brian Cunningham | Xing Wang | Quynh Le | Thanh Ngoc Tien | Cuong Do Danh
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

Principal Investigators & Key Members:
Minh Do | Pham Huy Hieu | Thanh Hung Nguyen | Phi Le Nguyen
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

Principal Investigators & Key Members:
Rashid Bashir | Andrew Taylor-Robinson | Minh Do | Phung Nam Lam
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.

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
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Minh Do, ScD trang chủ

Minh Do, ScD

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

Director

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Pham Huy Hieu, PhD

Pham Huy Hieu, PhD

College of Engineering & Computer Science (CECS), VinUniversity

Associate Director & Research Fellow

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Ngo Thi Thanh Hien

Ngo Thi Thanh Hien, PhD

VinFuture Foundation Executive Secretary

Lab Manager & Research Fellow

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Ngo Thi Thanh Hien

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

News and events

Smart Health Blog

The Artificially Intelligent Doctor Will Hear You Now
Simon Parkin / Mar 09, 2022

The Artificially Intelligent Doctor Will Hear You Now

U.K.-based startup Babylon will launch an app later this year that will listen to your symptoms and provide medical advice. Will it help or hinder the health-care system?
Machine Learning Tool Can Spot Mutations in Tumors
Emily Waltz / Mar 07, 2022

Machine Learning Tool Can Spot Mutations in Tumors

Health is our number one priority that is the foundation that we build our life. When traditional sensor networks have been migrated to Internet of things, humans and sensing devices are communicated and linked with internet.
AI Predicts Heart Attacks and Strokes More Accurately Than Standard Doctor’s Method
Eliza Strickland / Mar 07, 2022

AI Predicts Heart Attacks and Strokes More Accurately Than Standard Doctor’s Method

An artificial intelligence program correctly identifies 355 more patients who developed cardiovascular disease

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