Healthcare and Quality of Life

Electrical & Computer Engineering

The proliferation of advanced electronics and signal analysis methods has created new opportunities in healthcare. ECE faculty are innovating at the forefront of medical technologies with the goal of improving the quality of human life. Specific applications include: design of custom medical devices and wearable sensors to enable real-time monitoring of vital sensory information, medical imaging (including optimization methods for MRI), physiologic signal analysis, electromagnetic propagation within and about the body, on-body communication networking (“body area networks”), and smart prosthetics.

HEALTH CARE AND QUALITY OF LIFE

A Better Way to Detect Breast Cancer

Biomedical Signal Processing and Modeling Smart Prosthetics, Assistive Technology, Wearable Sensors, Biomedical Instrumentation, Medical Imaging, Optimization Methods for MRI, Nanotechnology for Biomedical Sensing, Body Area Networking, Computational "Virtual Human" Modeling, On-Body Antenna Protyping. Learn more about Healthcare & Quality of Life...

Edward "Ted" A. Clancy

Professor

, Electrical & Computer Engineering

Research Interests: Smart Prosthetics, Biomedical Signal Processing/Modeling, Assistive Technology, Wearable Sensors, Biomedical Instrumentation, Medical IoT.

Ulkuhan Guler

Assistant Professor-Engineering

, Electrical & Computer Engineering

My research interests lie in the broad area of circuits and systems, and my primary area of interest is analog/mixed signal integrated circuits. More specifically, I am interested in the circuit design of sensing interfaces and energy harvesting and wireless power transmission systems for applications in the IoT.

Xinming Huang

Professor

, Electrical & Computer Engineering

Being a faculty member is a privilege through which I can teach and mentor many students. My area of expertise is in computer engineering. More specifically, I conduct research on integrated circuits and embedded systems design for wireless communications, autonomous driving, and Internet of Things. I teach computer engineering courses at all levels from transistors, gates, circuits, processors, to computer systems. Courses I've taught include digital logic, VLSI design, HDL modeling, computer architecture, and reconfigurable computing.

Reinhold Ludwig

Professor and Associate Head

, Electrical & Computer Engineering

I started at WPI as an Assistant Professor in August of 1986 after graduating from Colorado State University. My research focus has been electromagnetic and acoustic nondestructive evaluation (NDE), and for the past 15 years the development of anatomically shaped coils for Magnetic Resonance Imaging (MRI). As director of the Center for Imaging and Sensing (CIS), I have concentrated on the exploration of energy/media interactions with emphasis on inspecting critical industrial materials and biological structures.

Sergey N. Makarov

Professor

, Electrical & Computer Engineering

My professional work centers on computational human phantoms, applied electromagnetics, and the numerical optimization and prototyping of selected on-body antenna types. RF studies can lead a student to challenging research and careers in a number of fields, including wireless communications, health care, power electronics, financial services, environmental management, engineering design and production, antenna design, radar engineering, and signals processing. RF is also moving into the biomedical field where there are many opportunities for wireless RF applications.

Healthcare and Quality of Life