EMC/EMI is the study of the effects of electromagnetic radiation on and from electronic devices. EMC/EMI issues can decrease reliability, increase cost and delay development schedules of modern electronic systems. Researchers work on a wide range of topics for government and industry; the goal of developing the knowledge base, people and tools is to solve the EMC/EMI challenges of today and address the EMC/EMI challenges of the future.
Interested in discussing the research we are working on or learning more? Please contact:
Professor. Director, Center for Electromagnetic Compatibility
573-341-6203 | daryl@mst.edu |
125 Emerson Electric Co. Hall
electromagnetic immunity and emissions from the integrated circuit to the system level
Woodard Associate Professor of Excellence; Interim Director, Center for Infrastructure Engineering Studies (CIES)
573-341-6229 | kmdgfd@mst.edu |
216 Emerson Electric Co. Hall
Microwave and thermographic nondestructive testing, embedded sensing, high frequency sensing, frequency selective surfaces, materials characterization, antenna design, modulated scatterers/antennas
Woodard Associate Professor for Excellence
573-341-4455 | hwangc@mst.edu |
130 Emerson Electric Co. Hall
High-speed Digital System Design, RF/digital Integration (RF Desensitization), Machine Learning in Hardware Design, Electromagnetic Interference (EMI), Hardware Security/Intentional EMI, and Electromagnetics
Kummer Endowed Professor
573-341-4844 | ljf82@mst.edu |
120 Emerson Electric Co. Hall
Electromagnetics, EMC, Signal Integrity and Power Integrity, Microwave Engineering
Research Professor
573-341-4394 | khilkevichv@mst.edu |
4000 Enterprise Dr., Rolla, MO 65409
Electromagnetic compatibility
Assistant Professor, and College of Engineering and Computing Dean’s Scholar
119 Emerson Electric Co. Hall #227, 4000 Enterprise Dr. Rolla, MO 65401
Signal Integrity (SI), Power Integrity (PI), and Temperature Integrity (TI); Electrostatic Discharge (ESD); High-speed SerDes Channel Modeling; High-speed Printed Circuit Board (PCB) Material Characterization; Particle Simulation on Semiconductor Devices.
Assistant Research Professor
123 Emerson Electric Co. Hall
Artificial Intelligence: AI Interpretability, Classification and Clustering, Unsupervised/Supervised Learning, Real-time Object Detection; Electricity Market: EV Charging, Transmission Planning, Energy Storage Optimization, Distributed Energy Resources Management; Operations Management: Inventory and Pricing, Behavioral Queueing, Game Theory, Uncertain Decision Making, Supply Chain Optimization, Complex Product Research and Development
Follow Electrical and Computer Engineering