Signal Processing Seminar

Sensor and Machine Learning at The Arizona State University

Andreas Spanias
Arizona State University - SenSIP

This seminar provides a description of the ASU Sensor Signal and Information Processing (SenSIP) center and its application-driven research projects. The center research activities include algorithm development for extracting information from sensors and IoT systems. More specifically center activities are focused on developing signal processing and machine learning methods for various applications including AI-enabled sensing for automotive, IoT solar energy system monitoring, surveillance systems, health monitoring, and sound systems. The center has several industry members that define and monitor research projects typically for Ph.D. student work. SenSIP has also affiliated faculty working on sensor circuits, flexible sensors, radar, smart cameras, motion estimation, secure sensor networks and other systems.


Andreas Spanias is Professor in the School of Electrical, Computer, and Energy Engineering at Arizona State University (ASU). He is also the director of the Sensor Signal and Information Processing (SenSIP) center and the founder of the SenSIP industry consortium (now an NSF I/UCRC site). Member companies of the NSF SenSIP center and industry consortium on sensor information processing include: Intel, National Instruments, LG, NXP, Raytheon, Sprint and several SBIR type companies. He is an IEEE Fellow and he recently received the IEEE Phoenix Section Award for Patents and Innovation. He also received the IEEE Region 6 section award (across 12 states) for education and research in signal processing. He is author of more than 300 papers,15 patents, two text books and several lecture monographs. He served as Distinguished lecturer for the IEEE Signal processing society in 2004.

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Overview of Signal Processing Seminar


MSc TC Thesis Presentation

Erkut Yiğit

MSc ME Thesis Presentation

Jeroen Naaborg

High density integrated capacitors for smart catheters and implants

MSc ME Thesis Presentation

Aoibhinn Larkin Reddington

Noninvasive Hemodynamic Monitoring: Left Ventricular Pressure-Volume Loop Reconstruction

MSc SS Thesis Presentation

Bram Visser

Calibration of single element 3D ultrasound with a aberration mask

Improved calibration by modeling non-linear frequency scaling and semi-linear phase shifts

Master thesis defence

Ahmed, Sheeraz

Multi-Channel Waveform Agile Radar: Experimental performance evaluation of Advanced Space-Time Adaptive Processing (ASTAP) radar system

Master thesis defence

Min DIng

Model-based Interference Mitigation for FMCW Radar System

Master thesis defence

Prithvi Laguduvan Thyagarajan

STEREOID data processor: Design and Performance analysis

Master thesis defence

Nick Cancrinus

Multiple-input Multiple-output Grating Lobe Selection Scheme for Radar Applications

Master thesis defence

Guigeng Su

Detection of vital signs of auto driver and passengers using (distributed) radars inside auto

Master thesis defence

Jiadi Zhang

Super-resolution Algorithm for Target Localization using Multiple FMCW Automotive Radars

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