Health Informatics Research Labs

Research Labs

Biomedical Data Science (BDS) Lab

Location: Rekhi Hall 319
Lead Faculty: Dr. Guy Hembroff

The lab conducts research in human health centered machine learning, computer vision, large scale cybersecurity architecture, mobile health, clinical decision modeling, medical imaging, behavioral and physical health, interoperability, neurological medication response models, and public health surveillance

Kaushal Molecular Intelligence and Drug Discovery (MIND) Lab

Location: Kanwal and Ann Rekhi Hall, Room 111
Lead Faculty: Dr. Neerav Kaushal

The lab applies artificial intelligence and machine learning to drug design, molecular property prediction, and explainable deep learning.

Laboratory of Medical Imaging and Informatics

Location:
Lead Faculty: Dr. Weihua Zhou

The lab conducts research in image processing, machine learning, medical image analysis, and cardiovascular and neurological imaging applications.

Medical Imaging Informatics Lab

Location: Electrical Energy Resource Center (EERC) 718

The Medical Imaging Informatics Lab at Michigan Tech focuses on delivering accurate, clinically relevant analysis and visualization of medical imaging data. The lab's research is dedicated to the development of novel techniques to detect and assess medical image data.

Current Research Projects

Development of deep-learning algorithms to detect abnormalities in mammography images. Computer-aided detection/diagnosis (CAD) systems have been available in health-care settings for many years. These systems were developed to find and discriminate between normal and abnormal tissues in many clinical areas including lung nodules, fracture detection, aneurysm detection, and breast lesions. Many CAD systems utilize human-driven processes of feature recognition and a-priori knowledge to accomplish the task. Artificial intelligence, and more specifically, deep-learning methods, shift the rule-based, problem- specific solutions to more generic methods using predictive algorithms and data-based mathematical optimization processes. Our research team is working in collaboration with Henry Ford Hospital in Detroit, Michigan for differentiation of breast abnormalities in mammography images using deep-learning algorithms.

Electrical Energy Resources Center (EERC)

Medical informatics curriculum at Michigan Tech is technology based and research-focused. There is strong emphasis on lab experiences. The Electrical Energy Resources Center (EERC), located on the main campus, provides optimal, up-to-date, and well-maintained spaces, equipped with industry-standard technology to enable a smooth transition from college to the workplace, or on to further research work.

Located on the main University campus, the EERC houses the Department of Electrical and Computer Engineering and Information Technology. The Paul and Susan Williams Center for Computer Systems Research is on the fifth floor, the Electrical and Computer Engineering Women’s Center is on the seventh floor, and the Electrical and Computer Engineering Learning Center is on the first floor.

Core Facilities

The interdisciplinary nature of our work is enhanced through the University's research centers and laboratories—microanalytical to geospatial—that serve as critical resources, incubators, and testing grounds for world-changing ideas and innovations. Learn more about our core facilities.