Electrical and Computer Engineering
Nakul Garg
Assistant Professor, Electrical and Computer Engineering
Member, Ken Kennedy Institute
Average rating
3.3
4 temporary mock ratings
Difficulty
3.5
course-linked average
Courses
3
in seeded sections
Courses taught
ELEC 537
Intelligent Mobile Systems
This course focuses on building intelligent mobile systems that sense, communicate, and make decisions under tight resource constraints like limited energy, compute, and bandwidth. Students will explore wireless communication, embedded sensing, and machine learning techniques for mobile applications. Topics include wireless localization, sensor fusion, on-device AI, energy harvesting, wireless imaging, and emerging techniques like 3D mapping and neural radiance fields. The course combines both the foundational principles and the state-of-the-art research in mobile computing and embedded intelligence. Recommended Prerequisite(s): Recommended background in signal processing, wireless communication, embedded systems, networking, and machine learning.
ELEC 590
Gr Non-Thesis Res Projects
Theoretical and experimental investigations under staff direction. Repeatable for Credit.
ELEC 800
Research And Thesis
Repeatable for Credit.