Research Project — Intelligent Decision-making for Cognitive ISAC Networks
The optimization of traditional cellular communication networks has been extensively studied to maximize data throughput, reduce interference, and achieve ubiquitous wireless coverage. With the emergence of integrated sensing and communication (ISAC) as a key enabling technology for 5G-Advanced (5G-A) and sixth-generation (6G) wireless systems, next-generation networks are expected to evolve toward dual-functional platforms. While most…
Master Thesis/Research Project — Imitation Learning for Joint Radar Imaging and Communication
Radar imaging, particularly synthetic aperture radar (SAR), can improve wireless communication performance and security by enabling high-precision environmental awareness (e.g., tracking of ground-moving eavesdroppers in critical scenarios, such as surveillance or post-disaster communication). Ensuring secure wireless communication requires the knowledge of the eavesdropper’s channel state information (CSI), which is difficult to obtain in practice. Most…
Bachelor Thesis — Software Demonstrator for Intelligent Reflecting Surfaces (IRSs) and Movable Antennas (MAs)
Background Traditionally, the wireless communication channel has been considered an uncontrollable entity in a communication system. While transmitters and receivers can be optimized, the propagation environment itself is usually assumed to be fixed and cannot be directly influenced. Recent research paradigms such as Intelligent Reflecting Surfaces (IRSs) and Movable Antennas (MAs) fundamentally challenge this assumption.…
Master Thesis — Beamforming Optimization of UAV-Based MIMO-SAR Tomography
Abstract: The deployment of unmanned aerial vehicle (UAV) swarms for remote sensing has attracted significant attention in recent years. Multiple-input multiple-output (MIMO) synthetic aperture radar (SAR) tomography leverages multiple transmit (Tx) and receive (Rx) channels to generate three-dimensional (3D) radar images. In contrast to conventional repeat-pass tomography, it enables the discrimination between single- and multiple-bounce…
Bachelor Thesis/Research Project — Graphical User Interface (GUI) for Simulating Molecular Communication in Complex Vessel Networks
Background: Molecular communication (MC) uses signaling molecules to transmit information between bio-chemical communication nodes. In the human body, similar mechanisms already enable natural processes such as cellular signaling. Synthetic MC systems aim to exploit these principles for applications such as early disease detection, targeted drug delivery, and health monitoring. MIGHT – A Model for MC…
Master Thesis/Bachelor Thesis/Research Project — Particle Propagation in Pipes with Spatially Restricted Absorbing Areas
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, in-body devices are expected to communicate with each other by means of MC and are connected to the…
Bachelor Thesis/Research Project/Master Thesis — Molecular Communications Channel Modeling in Capillaries
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 primarily describe transport in large and medium-sized blood vessels, many envisioned applications ultimately rely on molecule exchange within the…
Master Thesis — Optimization of Near-Field Integrated Radar Imaging and Downlink Communication Systems
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 remain ongoing, mainly due to the differing performance requirements of sensing and communication. In this…
Research Project/Major Project/Master Thesis — Optimizing the Placement of IoBNT THz Interface Devices in the Cardiovascular System under Sensing and Tissue-Fading Constraints
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 monitoring, interface devices are needed that can sense molecular biomarkers within the body, and communicate…
Master Thesis — Movable Intelligent Surfaces: Codebook-Based Control and Physics-Aware Modeling for 6G Reconfigurable Environments
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 architectures such as dynamic or active RIS often depend on further breakthroughs in electronics and materials science, making their large-scale deployment…
Master Thesis — Pinching Antenna Systems for Low-Latency and Secure IoT Communications Under Finite Block-Length Constraints
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, PAS can flexibly steer beams and adapt the antenna layout in space. This spatial agility makes PAS particularly well-suited for modern…
Efficient Neural Network Compression for Reconfigurable Hardware
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 hardware-efficient parallel implementation on reconfigurable hardware, such as FPGAs. However, optimizing CMVMs is just…
Algorithms for Cell-Free Massive MIMO System
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 MaMIMO systems. In CF-MaMIMO, user equipments (UEs) communicate with a central processing unit (CPU) via geographically…