Sensor Signal and Information Processing (SenSIP) Center
Developing signal and information processing foundations for next-generation integrated multidisciplinary sensing applications.
Energy & Low Power Systems
This project addresses signal processing and communication problems associated with the management of utility-scale “green” energy production. Several new signal processing, modeling, and wireless communication methods are developed for optimizing photovoltaic (PV) or solar panel arrays using sensors and other smart monitoring devices. This is a joint project with Paceco Corporation on design and implementation aspects of the sensors and smart monitoring devices. More…
Quantum Machine Learning
The SenSIP Center conducts a broad range of research and workforce development activities in quantum machine learning (QML), focusing on the integration of quantum computing with signal processing, sensing, imaging, and data analytics. Current efforts include QML methods for solar energy monitoring and fault detection, medical image analysis, speech and audio processing, radar and SAR image classification More…
Wireless Communications and Sensor Networks
Current research in Communications at the SenSIP Center are in the areas of MIMO systems, multi-carrier systems including OFDM and CDMA, and cleaned equalization coding. The following publications includes some of the by the faculty members of the SenSIP center. We have included a primer on OFDM systems. More…
SenSIP Industry Members and Projects
The SenSIP Industry Consortium performs use-inspired research in sensor and information systems, adaptive and non-linear systems, digital signal and image processing, wireless communications, networks, and multimedia. Applications addressed include information processing, software systems, integrated sensing, biomedicine and genomics, defense and homeland security, sustainability and environmental technologies, speech/audio processing and telephony, imaging and video systems, low power realizations, real-time implementations, smart stages and interactive media, and vehicular sensing.
