Category:Master Thesis
From iis-projects
The projects listed here are Master thesis projects. In principle a master project at IIS can take no longer than 6 months, and the student is expected to work full time on the thesis project. In some cases it is possible to make a simplified version of the project as a semester thesis, talk to the supervisor of the project to discuss this possibility.
Pages in category "Master Thesis"
The following 200 pages are in this category, out of 423 total.
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- Automatic unplugging detection for Ultrasound probes
- Autonomous Mapping with Nano-Drones UWB and Novel Depth Sensors
- Autonomous Obstacle Avoidance with Nano-Drones and Novel Depth Sensors
- Autonomous Sensing For Trains In The IoT Era
- Autonomous Sensors For Underwater Monitoring In Smart Navy Systems
- Autonomous Smart Watches: Hardware and Software Desing
- Autonomous Smart Watches: Toward an ultra low power microphone detector with events classification
- Autonomus Drones With Novel Sensors And Ultra Wide Band
- AXI-based Network on Chip (NoC) system
B
- Baseband Meets CPU
- Bateryless Heart Rate Monitoring
- Battery indifferent wearable Ultrasound
- BCI-controlled Drone
- Benchmarking a heterogeneous 217-core MPSoC on HPC applications (M/1-3S)
- Benchmarking a RISC-V-based Server on LLMs/Foundation Models (SA or MA)
- BigPULP: Multicluster Synchronization Extensions
- BigPULP: Shared Virtual Memory Multicluster Extensions
- Biomedical Circuits, Systems, and Applications
- BirdGuard
- Birds Long Term Monitoring With Ultra Low Power Wireless Sensor Node
- BLISS - Battery-Less Identification System for Security
- Bridging QuantLab with LPDNN
- Bringing XNOR-nets (ConvNets) to Silicon
- Building an RTL top level for a Mempool-based Heterogeneous SoC (M/1-3S)
C
- Cell Measurements for the 5G Internet of Things
- Cerebellum: Design of a Programmable Smart-Peripheral for the Ariane Core
- Channel Estimation and Equalization for LTE Advanced
- Channel Estimation for 5G Cellular IoT and Fast Fading Channels
- Characterization of the susceptibility to cosmic radiation of wide bandgap power devices by radioactive sources and at cryogenic temperatures
- Characterization techniques for silicon photonics-Lumiphase
- Charge and heat transport through graphene nanoribbon based devices
- CLIC for the CVA6
- CMOS power amplifier for field measurements in MRI systems
- Coherence-Capable Write-Back L1 Data Cache for Ariane (M)
- Combining Multi Sensor Imaging and Machine Learning for Robust Far-Field Vision
- Combining Spiking Neural Networks with Hyperdimensional Computing for Autonomous Navigation
- Compiler Profiling and Optimizing
- Compressed Sensing for Wireless Biosignal Monitoring
- Compressed Sensing Reconstruction on FPGA
- Compressed Sensing vs JPEG
- Compression of Ultrasound data on FPGA
- Configurable Ultra Low Power LDO
- Contextual Intelligence on Resource-constraint Bluetooth LE IoT Devices
- Continual Learning for Adaptive EEG Monitoring in Epileptic Seizure Detection
- Contrastive Learning for Self-supervised Clustering of iEEG Data for Epileptic Patients
- Convolution Neural Networks on our Ultra-Low Power Mult-Core Plattform PULP
- Counter-based Fast Power Estimation using FPGAs (M/1-3S)
- CPS Software-Configurable State-Machine
- Creating a HDMI Video Interface for PULP
- Cycle-Accurate Event-Based Simulation of Snitch Core
D
- Data Augmentation Techniques in Biosignal Classification
- Deep Learning for Brain-Computer Interface
- Deep Learning-based Global Local Planner for Autonomous Nano-drones
- Design and Exploitation of a Test-Bench for Non-Destructive Characterization of the Susceptibility of Silicon Carbide (SiC) Power Devices to Cosmic Radiation
- Design and Implementation of Digital Spiking Neurons for Ultra-Low-Power In-Cluster Coprocessors
- Design and implementation of the front-end for a portable ionizing radiation detector
- Design and Implementation of ultra low power vision system
- Design of a 25 Gbps SerDes for optical chip-to-chip communication
- Design Of A Biomarker Assay Based On Responsive Magnetic Nanoparticles
- Design of a CAN Interface to Enable Reliable Sensors-to-Processors Communication for Automotive-oriented Embedded Applications (1M)
- Design of a Digital Audio Module for Ultra-Low Power Cellular Applications
- Design of a High-performance Hybrid PTZ for Multimodal Vision Systems
- Design of a Low Power Smart Sensing Multi-modal Vision Platform
- Design of a Reconfigurable Vector Processor Cluster for Area Efficient Radar Processing (1M)
- Design of a VLIW processor architecture based on RISC-V
- Design of an Area-Optimized Soft-Error Resilient Processing Core for Safety-Critical Systems (1M)
- Design of an Energy-Efficient Ethernet Interface for Linux-capable Systems
- Design of an LTE Module for the Internet of Things
- Design of an on-field adaptable pulse-processing unit for semicondutor radiation detectors
- Design of combined Ultrasound and Electromyography systems
- Design of combined Ultrasound and PPG systems
- Design of low mismatch DAC used for VAD
- Design of MEMs Sensor Interface
- Design of Power-Noise-Efficient Discrete-Time Amplifier Using Open-Source Tools
- Design of Scalable Event-driven Neural-Recording Digital Interface
- Design of State Retentive Flip-Flops
- Design of Time-Encoded Spiking Neural Networks (IBM-Zurich)
- Design space exploration of InP Heterojunction Bipolar Transistors (DHBTs)
- Designing a Power Management Unit for PULP SoCs
- Designing a Scalable Miniature I/O DMA (1-2B/1-3S/M)
- Desing and Implementation Of Long Lasting Key Finder With Bleetooth Low Energy
- Developing a small portable neutron detector for detecting smuggled nuclear material
- Developing High Efficiency Batteries for Electric Cars
- Development Of A Test Bed For Ultrasonic Transducer Characterization (1 S/B)
- Development of an efficient algorithm for quantum transport codes
- Development Of An FPGA-Based Optoacoustic Image Reconstruction Platform for Clinical Applications
- Development of an implantable Force sensor for orthopedic applications
- Development of statistics and contention monitoring unit for PULP
- Digital Audio Interface for Smart Intensive Computing Triggering
- DMA Streaming Co-processor
E
- Edge Computing for Long-Term Wearable Biomedical Systems
- EEG earbud
- EEG-based drowsiness detection
- Efficient Banded Matrix Multiplication for Quantum Transport Simulations
- Efficient collective communications in FlooNoC (1M)
- Efficient Execution of Transformers in RISC-V Vector Machines with Custom HW acceleration (M)
- Efficient Implementation of an Active-Set QP Solver for FPGAs
- Efficient Synchronization of Manycore Systems (M/1S)
- Efficient TNN Inference on PULP Systems
- Electrically verifying a CMOS Multi-Modal Electrochemical, Impedance, and Optical Cellular Sensing Array for Massively Paralleled Exoelectrogen Screening
- Electrothermal characterization of van der Waals Heterostructures with a partial overlap
- Embedded Audio Source Localization Exploiting Coincidence Detection in Asynchronous Spike Streams
- Embedded Gesture Recognition Using Novel Mini Radar Sensors
- Enabling Efficient Systolic Execution on MemPool (M)
- Energy Efficient Serial Link
- Energy Efficient Smart Devices For Construction Building Maintenance Hilti Collaboration
- Energy Neutral Multi Sensors Wearable Device
- Energy-Efficient Brain-Inspired Hyperdimensional Computing
- Energy-efficient Circuits for Fully Wireless Brain-machine Interfaces
- Energy-Efficient Edge-Pursuit comparator for ultra-low power ADC
- Enhancing Our DMA Engine With Virtual Memory (M/1-3S/B)
- Evaluating An Ultra low Power Vision Node
- Evaluating memory access pattern specializations in OoO, server-grade cores (M)
- Evaluating the RiscV Architecture
- Evaluating The Use of Snitch In The PsPIN RISC-V In-network Accelerator (M)
- Event-based navigation on autonomous nano-drones
- Event-Driven Convolutional Neural Network Modular Accelerator
- Event-Driven Vision on an embedded platform
- Every individual on the planet should have a real chance to obtain personalized medical therapy
- Experimental Validation of Impact Ionization Models for TCAD Simulation by a Novel Characterization Technique
- Exploring Algorithms for Early Seizure Detection
- Exploring NAS spaces with C-BRED
- Extend the RI5CY core with priviledge extensions
- Extending our FPU with Internal High-Precision Accumulation (M)
- Extending the HERO RISC-V HPC stack to support multiple devices on heterogeneous SoCs (M/1-3S)
- Extending the RISCV backend of LLVM to support PULP Extensions
- Extreme-Edge Experience Replay for Keyword Spotting
- Efficient Digital Signal Processing in High-Channel-Count High-Frame-Rate 3D Ultrasound Imaging Systems
F
- Fast Accelerator Context Switch for PULP
- Fast Wakeup From Deep Sleep State
- Fault-Tolerant Floating-Point Units (M)
- Ferroelectric Memristors for Artificial Neural Networks (IBM-Zurich)
- Finite element modeling of electrochemical random access memory
- Flexfloat DL Training Framework
- Floating-Point Divide & Square Root Unit for Transprecision
- FPGA System Design for Computer Vision with Convolutional Neural Networks
- FPGA Testbed Implementation for Bluetooth Indoor Positioning
- FPGA-Based Digital Frontend for 3G Receivers
- FPGA-based Testbed Implementation of an Extended-Coverage Point-to-Point Communication Link for the Internet of Things
G
H
- Hardware Accelerated Derivative Pricing
- Hardware Accelerators for Lossless Quantized Deep Neural Networks
- Hardware Exploration of Shared-Exponent MiniFloats (M)
- Hardware/software co-programming on the Parallella platform
- Hardware/software codesign neural decoding algorithm for “neural dust”
- Heroino: Design of the next CORE-V Microcontroller
- High performance continous-time Delta-Sigma ADC for biomedical applications
- High performance continuous-time Delta-Sigma ADC for magnetic resonance imaging
- High resolution, low power Sigma Delta ADC
- High Speed FPGA Trigger Logic for Particle Physics Experiments
- High-Speed Digital-to-Analog Converter (DAC) for massive MIMO testing in 65nm CMOS
- High-Speed SAR ADC for next generation wireless communication in 12nm FinFET
- High-Throughput Authenticated Encryption Architectures based on Block Ciphers
- High-throughput Embedded System For Neurotechnology in collaboration with INI
- Huawei Research
- Human Intranet
- Hyper Meccano: Acceleration of Hyperdimensional Computing
- Hyper-Dimensional Computing Based Predictive Maintenance
- Hypervisor Extension for Ariane (M)
I
- IBM Research
- Image and Video Processing
- Implementation of a Cache Reliability Mechanism (1S/M)
- Implementation of a NB-IoT Positioning System
- Implementation of a Small and Energy-Efficient RISC-V-based Vector Accelerator (1M)
- Implementation of Computationally Efficient Scattering Mechanisms for Periodic Devices and 2D Materials
- Implementation of the RISC-V Bit Manipulation (RVB) extensions for our RI5CY core
- Implementation of the RISC-V Bit Manipulation (RVB) extensions for our RISC-V core
- Implementing A Low-Power Sensor Node Network
- Implementing Configurable Dual-Core Redundancy
- Improved Collision Avoidance for Nano-drones
- Improved Reacquisition for the 5G Cellular IoT
- Improving Cold-Start in Batteryless And Energy Harvesting Systems
- Improving datarate and efficiency of ultra low power wearable ultrasound
- In-ear EEG signal acquisition
- Indoor Smart Tracking of Hospital instrumentation
- Inductive Charging Circuit for Implantable Devices
- Influence of the Initial Filament Geometry on the Forming Step in CBRAM.
- Infrared Wake Up Radio
- Integrated silicon photonic structures-Lumiphase
- Integrating Ultrasound Technology into a Fitness Tracking Device (1M, 2 B/S)
- Integration Of A Smart Vision System
- Intelligent Power Management Unit (iPMU)
- Interfacing PULP with a Brain-Inspired Ultra-Low Power Spiking Cochlea
- Internet of Things Network Synchronizer
- Investigation of Metal Diffusion in Oxides for CBRAM Applications
- Investigation of Redox Processes in CBRAM
- IoT Turbo Decoder
- ISA extensions in the Snitch Processor for Signal Processing (M)
L
- LAPACK/BLAS for FPGA
- Learning at the Edge with Hardware-Aware Algorithms
- Learning Image Compression with Convolutional Networks
- Learning Image Decompression with Convolutional Networks
- Level Crossing ADC For a Many Channels Neural Recording Interface
- LightProbe
- LightProbe - CNN-Based-Image-Reconstruction
- Low Latency Brain-Machine Interfaces