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.

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.

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.

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

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

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