Are you interested in transforming the way the world functions?
Do you like to solve complex problems and think critically? Do technology and innovation
fascinate you? At South Dakota Mines, let us help you turn your drive and passion
into skills and knowledge.
The department of Electrical Engineering and Computer Science is a combination of
programs including electrical engineering, computer engineering, computer science,
data science, and data engineering. There are undergraduate and graduate (including
accelerated) degrees, including minors and specializations in avionics, artificial
intelligence (AI) and machine learning (ML), robotics, cybersecurity, virtual reality,
and systems engineering.
Work with our renowned faculty and collaborate on groundbreaking projects that address
real-world challenges. The hands-on experience and expertise you will acquire here
will not only contribute to your academic growth but also prepare you for successful
careers in academia, industry, or government agencies.
Dr. Long Zhao, PhD, The University of Texas at Arlington
The lab focuses on developing future power and energy systems. The research areas
include renewable energy integration, rural power grid development, demand-side management,
smart meter data analysis, and electric arc protection. The mission is to develop
a safe, smart, and sustainable (SSS) power and energy system for the future.
Dr. Randy Hoover, PhD, Colorado State University
The lab conducts research at the forefront of machine learning for multi-modal spatiotemporal
data. In particular, our research investigates advanced algorithms for: fusing multi-modal
data along different spatiotemporal time-scales; dimensionality reduction, and pattern
classification of multi-modal data; understanding multi-modal relationships for graph
representation learning; predicting future events through multi-modal forecasting
methods; exploring data augmentation and graph expansion from multi-modal graph embeddings.
Dr. Kai Ren, PhD, The Ohio State University
The lab is equipped with 3D printers, software-defined radios (SDRs), vector network
analyzers (VNAs, up to 67 GHz), and a walkable anechoic chamber with a dimension of
W = 11’, H = 9’6”, and L = 21’.
The research focuses on developing microwave sensing and direction-finding systems
for civil and military applications, which can be applied to infrastructure inspections,
rescue missions, electronic support, and electronic warfare.
Dr. Mohammadreza Mehrabian, PhD, Arizona State University
The lab is at the forefront of investigating innovative approaches for designing,
implementing, and verifying mobile robots and real-time/embedded systems.
Developed systems/frameworks play pivotal roles in safety-critical applications, clean
and smart energy systems, precision agriculture, safe mining operations, applications
within the field of biomedical engineering, and ensuring security in cyber-physical
systems.
Dr. Lisa Rebenitsch, PhD, Michigan State University
The research extends to virtual reality, augmented reality, and user interfaces. Cybersickness
is a particular focus of the lab but also includes XR usability and development.
Have more questions?
Department Head - Dr. Jeff McGough Jeff.McGough@sdsmt.edu Office: Electrical Engineering and Physics (EEP) 310
