WELCOME TO THE ECASP RESEARCH LABORATORY
ECASP is the Embedded Computing and Signal Processing Research Laboratory at the Department of Electrical and Computer Engineering, Illinois Institute of Technology, located in Chicago, Illinois.
ECASP Research Laboratory is dedicated to the development of high performance and low power computing platforms targeted at computationally intensive problems in the fields of Signal and Image Processing, Machine Vision and Autonomous Navigation, System-on-Chip (SoC) Designs, Ultrasonic Imaging, and High Performance Application-Specific Computing Systems. Currently we have projects in Reconfigurable Architectures, Computer Vision and Image Analysis, Target Detection and Estimation, Data Compression, Neural Networks, FPGA-based DSP Systems, Wireless Sensor Networks on Medical and Industrial Applications for Visually Impaired People, Smart Sensors for Visually Impaired People and Drone with Applications in the Area of Robotics and Transportations, and Home Automation.
ECASP Research Laboratory is dedicated to the development of high performance and low power computing platforms targeted at computationally intensive problems in the fields of Signal and Image Processing, Machine Vision and Autonomous Navigation, System-on-Chip (SoC) Designs, Ultrasonic Imaging, and High Performance Application-Specific Computing Systems. Currently we have projects in Reconfigurable Architectures, Computer Vision and Image Analysis, Target Detection and Estimation, Data Compression, Neural Networks, FPGA-based DSP Systems, Wireless Sensor Networks on Medical and Industrial Applications for Visually Impaired People, Smart Sensors for Visually Impaired People and Drone with Applications in the Area of Robotics and Transportations, and Home Automation.
ECASP News
Spring '17
- Members of ECASP Research Lab have published 9 papers in the field of machine vision, image and video processing, reconfigurable and embedded systems, ultrasonic signal processing and non-destructive evaluation.
(See publications here) - Congratulations to Thomas Gonnot (Ph.D.), Won-Jae Yi (Ph.D.), Tuan Dang (M.S.), Parth Desai (M.S.) on completing their dissertations and receiving their degrees.
- Paper titled "Image to Audio Frequencies Modulation for Visually Impaired People" by Thomas Gonnot and Matthew Mikuta was selected as Best Student Paper (3rd place) at 2017 IEEE International Conference on Electro/Information Technology, Lincoln, Nebraska.
Fall '16
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Dr. Saniie presented an invited talk entitled "Time-Frequency Analysis for Ultrasonic Echo Detection and Parameter Estimation" at 2016 IEEE International Ultrasonics Symposium, Tours, France.
(Click here for presentation video)
Summer '16
- 20 undergraduate students from Brazil Scientific Mobility Program 2016 completed their projects in the area of machine vision and embedded computing. (See projects here)
