Thesis

Background: Molecular Communication (MC) is an emerging communication paradigm which uses molecules to convey information. MC applies communication engineering principles to bio-medical applications such as targeted drug delivery, health monitoring, and micro-fluidic channel design. In the future, ...

Background: Understanding how signaling molecules move through the human microvasculature is crucial for future biomedical applications of molecular communication (MC), including early cancer detection, targeted drug delivery, and continuous health monitoring. While existing MC channel models prima...

Abstract: As integrated sensing and communication (ISAC) emerges as a key enabler for sixth-generation (6G) wireless systems, efforts to refine its design and optimize its performance have intensified in recent years. Discussions on waveform design for multiple-input multiple-output (MIMO) ISAC r...

Topic: The Internet of Bio-Nano Things (IoBNT) extends the Internet of Things into the human body, connecting in-body molecular communication (MC) networks with out-of-body electromagnetic (EM) systems. To realize this vision, and enable novel medical applications like continuous in-body health mon...

Topic: Movable antennas (MAs) are antennas capable of dynamically changing their position and orientation through the use of micro-electromechanical systems (MEMS). Compared to traditional fixed antenna systems (FAS), MAs introduce additional degrees of freedom that can be exploited to enhance ov...

Topic: Reconfigurable intelligent surfaces (RIS) have emerged as a promising technology to provide a cost-effective, energy-efficient, and low-complexity means of enhancing wireless communication performance. However, the increasingly sophisticated hardware designs required for advanced RIS architec...

Topic: Pinching Antenna (PA) systems have recently gained attention as a promising alternative to conventional multiple-input multiple-output (MIMO) architectures, offering dynamic spatial reconfigurability with low hardware complexity. By deploying pinching antennas along low-loss waveguides, PA...

A significant portion of the computational burden in most neural networks arises from constant matrix-vector multiplications (CMVMs). To address this challenge, linear computation coding (LCC) has emerged as a promising approach for approximating CMVMs in large matrices, while also facilitating a ha...

Cell-free massive MIMO (CF-MaMIMO) is a promising network architecture for energy efficient sixth generation (6G) wireless communication systems with uniform quality-of-service coverage and high data rates. It combines the benefits of distributed antenna systems (DAS) with those of centralized MaMIM...