Intelligent Signal and Information Processing (I-SIP) Lab

"Intelligent Signal and

Information Processing (I-SIP) Lab"

We Are Passionate And Concern

About Adaptive, Secure, and Distributed

Signal Processing

Our Research Focus is on:

Statistical Signal Processing

Non-linear Dynamical Systems

Distributed Estimation/Tracking

Image/Video Processing

Biomedical Signal Processing

Welcome to the I-SIP LAB at Concordia University.

The I-SIP Laboratory at the Concordia University, is part of the Department of Engineering and Computer Science at Concordia University.

Our Laboratory is at the forefront of the signal and information processing field. Specifically, our research focus is in the areas of large-scale dynamical systems, distributed/decentralized estimation/control, non-linear signal and image processing, secure signal/information processing solutions, cyber-physical systems, multichannel signal processing, signal processing for maintenance management, and neural networks.

Professor A. Mohammadi I-SIP Lab Director.

Tweets by I_SIP_Lab

Research

Signal Processing

The I-SIP lab performs research on different areas of Signal Processing including: Estimation, Detection, and Tracking;Systems with Non-Linear Dynamics, and; Image/Video Processing.

Biomedical Signal Processing

The I-SIP lab performs research on different areas of Biomedical Signal Processing including: Brian Computer Interfaces (BCIs); Processing EEG signals for Motor Imagery and robotic control; Processing ECG and PPG signals for continues/cuff-less Blood Pressure estimation, and; Segmentation and shape reconstruction of brain tumours.

Explainable Machine Learning (XAI)

The I-SIP lab performs research on different areas of Explainable Machine Learning (XAI) including: Explainable Deep Nets; Explainable models with high level of learning performance; Characterizing strengths and weaknesses of Deep architectures, and; Explainable machine learning for autonomous systems.

Internet of Things (IoT)

The I-SIP lab performs research on different areas of Internet of Things (IoT) including: Location-based services; BLE-based localization; Privacy of IoT devices; MAC address randomization; Indoor localization, and; Proximity-based services.

Security/Privacy in Cyber-Physical Systems (CPS)

The I-SIP lab performs research on different areas of Security of Cyber Physical Systems (CPS) including: Security and Privacy of distributed signal processing in networked CPSs; Distributed and secure detection, estimation, and information fusion; Security and privacy of consensus and diffusive strategies in networked systems; Secure and privacy preserving distributed adaptation and learning; Security and privacy of distributed sensor resource management in networked systems; Distributed event-based estimation/control in networked CPSs, and; Detection and identification of potential attacks on distributed signal processing mechanisms.

Information Fusion

The I-SIP lab performs research on different areas of Information Fusion including: Multi-sensor information fusion; Information fusion in distributed Camera Networks; Distributed Signal Processing in Agent/Sensor Networks, and; Information fusion in acoustic sensor networks

Communications

The I-SIP lab performs research on different areas of Communication networks including: Signal processing for communications; widely-linear signalling; Complex-valued signal processing; Consensus algorithms; Sensor networks, and; Time-reversal Detection.

Research Group

Our research team consists of Faculty members from ECE and CIISE departments. For a complete list of our members please visit the members tab.

Publications

The I-SIP research works have been published in top international Journal and conferences venues. For a complete list of our publications please visit the publication tab.

Events/News

If you are interested in collaborating/joining the I-SIP lab please contact us. For an update on what's happening in our lab please check the news tab.