Toward Perception-Inspired and Physics-Informed Computational Models for Medical Image Quality As...

This talk explores the challenges of medical image quality, highlighting that it cannot be evaluated using objective metrics alone but must conside...

Extremely Large Antenna Arrays (ELAA) For 6G Communications & Sensing

Extremely Large Antenna Arrays (ELAA) are a key technology for 6G networks, enabling the use of hundreds or thousands of antennas at base stations ...

Electromagnetics for Safer and Smarter Mining: From Exploration to Real-Time Operations

The IRC for Communication Systems and Sensing, in collaboration with the Electrical Engineering Department, successfully hosted a seminar titled “E...

From Antennas to Humans: The Evolving Role of FDTD in Computational Electromagnetics

IRC for Communication Systems and Sensing organized a seminar in collaboration with the Electrical Engineering Department titled “From Antennas to ...

Workshop: Mastering Edge AI Design Flows

The IRC for Communication Systems and Sensing, in collaboration with the Department of Electrical Engineering, organized a four-day workshop titled...

Neuromorphic Electronic Devices for Spiking Neural Networks

The IRC for Communication Systems and Sensing (IRC-CSS) organized a seminar titled “Neuromorphic Electronic Devices for Spiking Neural Networks,” p...

From Model to Silicon: A Comprehensive Guide to Edge-AI Implementation Frameworks

The IRC for Communication Systems and Sensing, in collaboration with the Electrical Engineering Department, organized an informative seminar titled...

Reconfigurable Intelligent Surfaces: Towards Intelligent 6G Wireless Networks

The demand for wireless capacity is continuously growing with the advent of the Internet-of-Everything system, connecting millions of people and bi...

Capacitive tactile sensors for robots and electrical capacitance tomography

This seminar will discuss the importance of tactile sensors in robotic applications, focusing on capacitive tactile sensing due to its high sensiti...

Innovative Reconfigurable Processor Technology for Edge Applications

The future of intelligent communication and sensing systems hinges on the seamless integration of computation, communication, and perception — wher...

Signal Separation: From Model Driven Approaches to Data Driven Ones

Blind source separation is a mature field of research with a broad range of applications, which is still a current topic. It is motivated by practi...

Machine Learning Techniques for Inverse Problems: Navigating Model Inconsistencies

Traditional model-based deep learning methods rely heavily on the accuracy of forward models, which can be limiting due to model simplifications or...