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We are always looking for motivated, curious, open-minded, people who can expand and improve our team.

Master Thesis, Seminars & Praktikum

All colleagues are reachable via their email following this pattern firstname.lastname@ziti.uni- heidelberg.de and/or firstname.lastname@uni-heidelberg.de . Please contact them directly to find out more about your topics of interest. We also welcome other topics suggested by motivated students as far as it has enough synergy with our core activities and expertise. All listed topics can be tailored into seminars, praktikum or master thesis projects based on mutual discussion and agreement.

MASTER THESIS/SEMINARS/PRAKTIKUM: Topic Title
Contact Person
Cuffless Continuous Blood Pressure Monitoring Based on Physiological Signals: PPG and ECG Yiting Wei
Denoising and Feature Extraction of Physiological Signals Using Time-Frequency Analysis Methods Yiting Wei
Prediction of Gestational Diabetes Trends Based on Machine Learning Methods Yiting Wei
Development of a Non-invasive Blood Glucose Monitoring Algorithm Using Smartphones Yiting Wei
Driver Stress Detection in Driving Scenarios: A Safety-Centric Approach to Enhancing Road Safety Yiting Wei
A Learning-based Distributed Routing Methodology for Constraint-driven Placement Luke Vassallo
Designing Many-core Processors with Compute-in-Memory Capable SRAM Macros Luke Vassallo
Design of Spintronic-based approximate circuits Gulafshan Mau
Dynamic thread scheduling in GPGPUs using machine learning Pouria Hasani
Automated hardware design using machine learning Pouria Hasani
Exploring Approximate Computing Techniques in Fused Layers for Simultaneous Reduction of Memory and Computational Load Pouria Hasani
Advancing Compiler Development for Mitigating Read-After-Write Hazards through Approximation Strategies Pouria Hasani
Non-invasive blood glucose estimation using wearables (e.g., based on PPG-ECG signals) and machine learning Yiting Wei
Feature smoothing technique based on machine learning combined with time-frequency analysis Yiting Wei
Respiratory anomaly detection using wearables (e.g., based on PPG-ECG signals) and machine learning Soheil Khooyooz
Energy-efficient low-cost wearable health monitoring SmartWatch fabrication Soheil Khooyooz
Signal processing using in-memory computing hardware Nima Taherinejad
Training and re-training approximate neural networks Nima Taherinejad
General-purpose approximate computing with GPU and CPU Nima Taherinejad
Design of Approximate Systolic-Array-based Matrix Multipliers for Use in Tensor Processing Units (TPU) Nima Amirafshar
Design of Approximate FPGA-Based Multipliers. Nima Amirafshar
Design of Approximate Floating-Point Multipliers Nima Amirafshar
Wearable flexible body matched electromagnetic sensors for personalized non-invasive glucose monitoring Mostafa Haghi
Measuring blood pressure using ballistocardiography during sleep Mostafa Haghi
Quantification of health status of chronic obstructive pulmonary disease (COPD) patients using wearable devices Mostafa Haghi
Advancements in Sleep Position Detection: Bridging the Gap for Hypoglossal Stimulation Marvin Stoffers
Deep Reinforcement Learning for VLSI Physical Design Luke Vassallo
Analysis of Data-centric Computer Organisation and Architecture Luke Vassallo
Design and implementation of an emotion-based robot to increase attention in autistic children, utilizing electroencephalogram and plethysmography signals. Soheil Khooyooz
Classification of baby crying sounds to assist parents in timely consolation. Soheil Khooyooz

PhD/Post Doc

Currently no positions available.