The field of Communication and Signal Processing within the Electrical and Electronic Engineering department is a dynamic and essential area of study, intricately woven into the fabric of the 4th industrial revolution. In this context, it plays a pivotal role in modern technology-driven societies where the convergence of digital innovations, artificial intelligence, and the Internet of Things (IoT) has become the norm.
Researchers in Communication and Signal Processing not only focus on the design, analysis, and optimization of communication systems, but also actively contribute to the seamless integration of AI and IoT. They spearhead the development of cutting-edge communication technologies, such as wireless networks, optical communication systems, and satellite communication, to support the burgeoning IoT ecosystem. These advancements enable smart devices to communicate intelligently and efficiently, forming the backbone of the interconnected world.
At the heart of this research lies signal processing, a foundational element in harnessing the potential of AI. Signal processing techniques, including noise reduction, data compression, and pattern recognition, underpin the capabilities of AI systems, enabling them to make sense of complex data streams generated by IoT devices. This synergy between Communication and Signal Processing, AI, and IoT drives innovation in diverse fields, from autonomous vehicles and industrial automation to healthcare diagnostics and smart city development.