Graduate Programs

Research areas

Biomedical instrumentation; wearable medical devices; neural engineering; brain-computer interfaces; electromagnetic energy interactions with cells/tissues; computer modeling of medical devices; technologies for image-guided interventions; biomedical signal and image processing; AI/ML applications in health care

Research labs and groups

• Biomedical Computing and Devices
• Brain and Body Sensing
• Medical Component Design
• Cyber-physical systems and Wireless Innovations

Research in this area is supported by grants from the NIH, NSF, the medical device industry and national labs.

Research areas

Power distribution systems; power electronics; operation and planning of power systems; grid-forming and grid-following inverters; electric motor drive systems; machine learning application in power systems; AI applications in power electronics; demand side management; grid integration of electric vehicles; cybersecurity in power systems; security of grid-interactive inverters; resilience of power and interdependent infrastructures

Research labs and groups

• Smart Power Electronics and Control Systems
• Smart Energy Systems
• Cyber-Physical Systems and Wireless Innovations

Research in this area is supported by grants from the NSF, DOE, ONR, power industry and national labs.

Research areas

Hardware security; system-on-chip protection; hardware and software co-verification; formal verification and program analysis; FPGA and integrated circuit design; digital signal processing; stochastic spreading processes on networks; epidemic forecast; mitigation strategies assessment; wireless communication systems and networks; AI/ML approaches to network modeling; analysis and optimization

Research labs and groups

• Network Science and Engineering
• Hardware Security
• Cyber-Physical Systems and Wireless Innovations

Research in this area is supported by grants from the NIH, NSF, DOD, DOE, USDA and industry.

Most incoming students have undergraduate degrees in electrical engineering or computer engineering. Students with backgrounds in physics, mathematics, computer science and other areas are also accepted into the program. These students may be required to complete undergraduate electrical engineering courses prior to full graduate admission. For a list of suggested coursework, visit our FAQ page.

Minimum admission requirements

• GRE scores (Institution Code: 6334, Department Code: 1203)
• Minimum scores: Verbal – 145; Quantitative – 155; Analytical – 3.0
• Graduation from an accredited institution with a baccalaureate degree in electrical engineering, computer engineering or closely related field.
• A minimum grade point average of 3.0 out of 4.0. (This implies a minimum of First Class in each of the four or five years required to earn the degree from a University in India)

International students

• Official TOEFL scores (Institution Code: 6334, Department Code: 66)
• Must be at least 85 (internet based), with no score below 20 on the reading, listening, and writing sections

Application deadlines

Jan. 8 for fall (August) enrollment
Aug. 1 for spring (January) enrollment
Dec. 1 for summer (June) enrollment

Research and teaching assistantships are available on a competitive basis. All applications are evaluated to determine if they are eligible for these positions. Most graduate assistants will have both teaching and research responsibilities. Students on five-tenths time assistantships pay in-state fees.

Graduate study in electrical engineering will prepare engineers for pursuit in many diverse and high-technology careers. These careers can be in government, industry, or academia. Possible areas of employment are communications systems, medical equipment design, computer design and applications, power generation and distribution, automotive systems and manufacturing systems.