Open Theses

We are currently offering the following theses.

Supervisor 1	Supervisor 2	Date	Title
Jantsch	Wess	11-15-22	Adaptation of a Latency and Power Estimation Model for ARM Processors
Jantsch	Wess	11-15-22	Energy Efficient Adaptive Neural Networks for Embedded Hardware
Jantsch	Lechner	11-15-22	Real-time Simultaneous Face Detection and Pose Estimation
Götzinger		12-09-22	Adapting a Railroad Anomaly Detector for Embedded Hardware
Jantsch	Wess	06-30-23	AI-Based Audio Effects Device on Raspberry Pi
Jantsch	Bittner	07-01-23	RNN-based Time Series Classification on MCUs

Supervisor 1	Supervisor 2	Date	Title
Jantsch	Taherinejad	05-19-16	Designing an all-digital DLL for an open-source DDR3 controller
Jantsch		06-28-18	Deep Learning with Reduced Precision Weights
Jantsch		06-28-18	Embedded Deep Learning Inference with Shift-CNN
Jantsch	Lechner	09-28-20	Hardware-Aware Pruning of Neural Networks with Intel Distiller
Jantsch	Wess	11-15-22	Adaptive Neural Network low bit-width Quantization for image classification, object detection and segmentation targeting FPGA
Jantsch	Lechner	11-15-22	Consistent Semantic Segmentation of Video Objects
Jantsch	Lechner	11-15-22	Optimierung von 3D Convolutions auf Embedded Hardware für autonomes Fahren
Jantsch	Bittner	11-15-22	Vision based workplace safety monitor in an automotive test bench
Jantsch	Schnöll	11-15-22	Analytical Approximation of Statistical Rounding
Jantsch	Götzinger	11-30-22	Monocular Depth Estimation using Self/Semi-Supervised Learning
Jantsch	Götzinger	11-30-22	Filtering of Rail-track Switches using Ensemble Learning
Jantsch	Wess	01-05-23	Exploring FPGA and eGPU for Disaster-Scene Analysis
Jantsch	Wess	06-30-23	AI-Based Audio Effects Device
Jantsch	Götzinger	07-01-23	Depth-wise Concatenation of Two Pruned Networks
Jantsch	Götzinger	07-01-23	Evaluation of Lane Detection CNNs for Rail Tracks
Jantsch	Götzinger	07-01-23	Reinforcement Learning for Train Route Prediction
Jantsch	Götzinger	07-01-23	Simultaneous Detection and Segmentation of Different Objects