Bachelor Thesis / Research Project / Master Thesis — Empirical Analysis of Convex Separability in Modern Deep Learning Frameworks
Background and Recent Results: Deep learning and specifically neural networks (NNs) have emerged as some of the most powerful algorithms applicable to a wide range of problems. Recent works have investigated the convexity of high-dimensional datasets, both in the input domain, as well as in the latent space of feature extractors. It is found that image datasets such as…Read more
Research Project — Centroid Informed Approximate Nearest Convex Hull Classification
Background and Motivation: Recent work found that certain convex separable problems are hard to learn for multi-layer perceptrons (MLPs) while being solvable with vanishing generalization error by nearest convex hull classification (NCHC). Applying NCHC to a classification task of nn classes requires to solve nn constrained convex optimization problems and is, hence, computationally intractable for real-world…Read more
Master Thesis — Optical Wireless Integrated Sensing and Communications with Single Photon Avalanche Photodiode-Array
Background and motivation: Optical wireless integrated sensing and communication (O-ISAC) is a promising technology for future indoor wireless networks, offering spectrum efficiency, high spatial resolution, and inherent physical-layer security. By reusing the same optical waveform and hardware, O-ISAC systems can jointly support high-rate data transmission and environmental sensing. However, sensing performance is strongly limited by…Read more
Master Thesis — Control of Optical Reconfigurable Intelligent Surfaces for Free-Space Optical Communications
Background and motivation: Intelligent reflecting surfaces (IRSs) have emerged as a key enabler for programmable wireless propagation environments. Their optical counterpart, the optical IRS (O-IRS), is realized either as an array of micro-mirrors or as an engineered metasurface, and is tailored to operate on optical rather than radio-frequency (RF) waves. By imposing a controlled phase…Read more
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…Read more
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…Read more
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…Read more
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…Read more
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…Read more
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…Read more
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…Read more
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…Read more
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…Read more