Electrical and Computer Engineering
Overview: Controls, Communications, and Signal Processing
ECE faculty members conduct research in controls, communications, and signal processing to develop the mathematical foundations, algorithms, and technologies that enable modern sensing, communication, and intelligent systems. Research spans control theory, optimization, signal processing, wireless communications, sensor networks, estimation, and distributed systems, with an emphasis on designing systems that can operate reliably, efficiently, and autonomously in complex and uncertain environments. Faculty also develop methods for processing and interpreting signals and data, combining signal and image processing with machine learning to identify patterns, classify signals, make predictions, and support intelligent decision-making.
This research supports a wide range of applications, including autonomous and networked systems, wireless communications, biomedical sensing, healthcare technologies, environmental monitoring, scientific discovery, and advanced instrumentation. By integrating fundamental theory with practical engineering, faculty develop innovative solutions that improve the performance, reliability, and intelligence of technologies ranging from communication networks and cyber-physical systems to medical devices and next-generation sensing platforms.
ECE Faculty
Er-Wei Bai
Identification, control, signal processing
Gary Christensen
Image and signal processing, medical imaging, image registration, cancer research
Soura Dasgupta
Machine learning, wireless communications systems, robust control, Parkinson’s disease
Anton Kruger
Geophysical measurements, embedded systems and software
Raghuraman Mudumbai
Adversarial vulnerability of deep learning classifiers, asymptotic properties of synthetic text generated by LLMs, signal processing methods, wireless communication systems
Ananya Sen Gupta
Underwater acoustical signal processing, underwater acoustic communications, raw signal processing, feature extraction, space physics, pollution studies
Weiyu Xu
Signal processing, optimization, machine learning, information theory, adversarial vulnerability of deep learning classifiers