AI+Health Engineering Center


AI+HEC


MISSION STATEMENT


At AI + Health Engineering Center (ai+hec), our mission is to sustain a strong, and truly interdisciplinary collaborative effort with combined expertise to address challenging, yet critical, problems in artificial intelligence (AI), and its applications in specific domains, with initial focus on applications in digital health. We believe that achieving this mision will have significant impacts on three fronts: (1) reducing the scourge of poor health and abysmal health outcomes, especially in low-resource environments; (2) reducing the rapid growth in healthcare costs in the US in particular, and around the globe in general; (3) facilitating new economic transformation, through improved workforce development in leading technology areas of data science, artificial intelligence, and data- driven healthcare industry.

FOUR KEY PILLARS FOR THE CENTER


Towards our vision, activities in the Center will revolve around four specific components.

A. AI Foundations

To develop novel and advanced artificial intelligence techniques suitable for intelligent analysis of massive-scale datasets.

  • AI Architectures, Representations, & Algorithms
  • Biomedical Big Data: Acquisition, Management, & Visualization
  • Generative AI and Scalability in AI/ML
  • Causality
  • Ethics, Fairness, Privacy, Trust, Explainability, Security in AI

B. AI in Healthcare

To deploy new AI techniques to smart health applications. The goal will be to significantly improve healthcare and medical decision-making in addressing key health challenges in West Virginia in particular, but also across the nation and the globe at large. Initial Focus Areas will include:

  • Cardiovascular Health
  • Genomics and Precision Medicine
  • Complications in Surgery
  • Clinical Informatics and Drug Safety
  • mHealth (mobile health & health devices)

C. AI + DH Education & Workforce Development

The center will embark on sustained workforce development efforts in the high-tech areas of artificial intelligence and digital health (DH) in West Virginia, building on the outcomes from Components A and B.

  • Education and Training
  • Workforce development
  • Training doctors and healthcare professionals on AI and ML
  • Training engineers and computer scientists on how to apply their skills in AI to solve specific problems in healthcare and medicine

D. AI+DH Innovation & Translation (Industry + Commercialization)

The center will engage in interactions and collaboration with the AI and digital health ecosystems, including hospitals, industry, and government agencies. This will involve translating the research and educational outcomes from the other components into meaningful commercial applications, leading to potential entrepreneurial activities.

  • Industry collaborators
  • Commercialization activities
  • Government Labs and agencies

Affiliated Labs


Vision and Learning Lab at WVU
Michael Hu Lab at WVU

Activities


Projects


NSF NRT, NRT-HDR: Bridges in Digital Health

PI: Don Adjeroh
Co-PIs: Gianfranco Doretto, Partho Sengupta, Michael Ruppert, Gay Stewart
Senior Personnel: Michael Hu, others
Funding: $3M
Dates: 09/01/2021 – 08/31/2026

NSF EFRI BRAID: Unsupervised Continual Learning with Hierarchical Timescales

PI: Gianfranco Doretto
Co-PIs: Don Adjeroh, Gary Marsat, Nicholas Szorcinski, Ngan Le
Funding: $2M
Dates: 10/01/2022 – 09/30/2026

NSF Track-2, RII Track-2 FEC: Multi-scale integrative approach to digital health: collaborative research and education in smart health in West Virginia and Arkansas

PI: Don Adjeroh
Co-PIs: Gianfranco Doretto, I. Martinez, M. Abate
Senior Personnel: Researchers at WVU, WVSU, and Arkansas
Funding: $4M
Dates: 08/2019 – 07/2025

NSF MRI: Acquisition of Dolly Sods GPU Cluster for Accelerated High-Performance Computing and Applications in Machine Learning and Artificial Intelligence in West Virginia

PI: Blake Mertz
Co-PIs: Werner Geldenhuys, Sarah Spolaor, Piyush Mehta, Gianfranco Doretto
Funding: $1.1M
Dates: 10/01/2021 – 09/30/2024

NSF BIGDATA SPOKE: MEDIUM: SOUTH: Integrating Biological Big Data Research into Student Training and Education

PI: Don Adjeroh
Co-PIs: Gianfranco Doretto, I. Martinez, others
Funding: $1M
Dates: 10/2018 – 9/2024

NSF IIS: III: SMALL: Collaborative Research: Social media based analysis of adverse drug events: user modeling, signal reliability, and signal validation

PI: Don Adjeroh
Co-PIs: Gianfranco Doretto, Marie Abate, W. Zheng
Funding: $500K
Dates: 08/2018 – 07/2023

NIH/NIGM: Streamlining Volumetric Imaging, Analysis and Publication Using Immersive Virtual Reality

MPI: Gianfranco Doretto
Funding: $1.7M
Dates: 05/2020 – 10/2022

NIH/NIGM: Scaling Volumetric Imaging, Analysis and Science Communication Using Immersive Virtual Reality

MPI: Gianfranco Doretto
Funding: $4.2M
Dates: 2/2023 – 1/2026

NIH/NIGM: Scaling Volumetric Imaging, Analysis and Science Communication Using Immersive Virtual Reality: Administrative Supplement

MPI: Gianfranco Doretto
Funding: $1.2M
Dates: 8/2023 – 1/2026

People


Donald Adjeroh

Donald Adjeroh

Comp. Sc. & Elect. Eng. (LCSEE), West Virginia University

Director and Center Lead

Gianfranco Doretto

Gianfranco Doretto

Comp. Sc. & Elect. Eng. (LCSEE), West Virginia University

Director

Chuck Mullet

Chuck Mullet

Department of Pediatrics, West Virginia University

Associate Director

Michael Hu

Michael Hu

School of Medicine, West Virginia University

Associate Director

Prashnna Gyawali

Prashnna Gyawali

Comp. Sc. & Elect. Eng. (LCSEE), West Virginia University

Don McLaughlin

Don McLaughlin

Comp. Sc. & Elect. Eng. (LCSEE), West Virginia University

Brian Powell

Brian Powell

Comp. Sc. & Elect. Eng. (LCSEE), West Virginia University

Michael Ruppert

Michael Ruppert

School of Medicine, West Virginia University

Ivan Martinez

Ivan Martinez

School of Medicine; West Virginia University

Wanhong Zheng

Wanhong Zheng

School of Medicine; West Virginia University

James Bardes

James Bardes

School of Medicine; West Virginia University

Lee Pyles

Lee Pyles

School of Medicine; West Virginia University

Let's Get In Touch!


Do you have questions or wish to participate or contribute to the project? Are you a post-doc, current or prospective undergraduate or graduate student interesting in doing research in this or related area? Please contact Don Adjeroh, PhD, Professor and Associate Chair of LCSEE, Project Lead PI via the email or phone number below.