We invest in a culture of learning, teaching, and dialogue
Work with the best team for a great experience!
We bring our all, own our mistakes, and build for the future
We are always looking for motivated, curious, open-minded, people who can expand and improve our team.
| Contact Person | |
|---|---|
| Design of Approximate Arithmetic Units using Metaheuristic Algorithms or Reinforcement Learning | Fabian Seiler |
| Design of Mixed Logic Approximate Arithmetic Units for Memristive In-Memory Computing | Fabian Seiler |
| Automated Logic Synthesis and Mapping Procedure for Memristive Crossbar Arrays | Fabian Seiler |
| Benchmarking of Memristive In-Memory Computing Circuits/Algorithms using the ARCADE Tool | Fabian Seiler |
| Extending ARCADE with NGSpice and Xyce Backends for Large-Scale/Cluster Simulation | Fabian Seiler |
| Building a Graphical User Interface (GUI) for ARCADE | Fabian Seiler |
| Extending ARCADE to Near-Memory Voltage-Resistance to Resistance (V/R-R) and Voltage to Resistance (V/R) Kernels | Fabian Seiler |
| Design of a High-Accuracy Read/Write Circuitry for Resistive RAM (RRAM) Crossbar Arrays | Fabian Seiler |
| Experimental Evaluation of Memristive In-Memory Computing Circuits using Analog Discovery | Fabian Seiler |
| Design of an Improved PCB for RRAM Characterization and Memristive Stateful Logic Benchmarking | Fabian Seiler |
| Synthesis and Evaluation of a Customized RISC-V Implementation with Stateful Logic for Memristive In-/Near-Sensor Computing | Fabian Seiler |
| Implementation of Simple Programs using a RISC-V Adaptation for Memristive In-Memory Computing | Fabian Seiler |
| Design of Accelerated Arithmetic Units using Stochastic Computing Bitstreams within Memristive Memory | Fabian Seiler |
| Creation of a Memory-centric Accelerator for Diagonalized State Space Models using Stochastic Computing | Fabian Seiler |
| 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 |
| Non-invasive blood glucose estimation using wearables (e.g., based on PPG-ECG signals) and machine learning | Yiting Wei |
| Cross-Modal Alignment and Reasoning in Healthcare Multimodal Large Language Models: From Data Fusion to Explainable Clinical Predictions | Yiting Wei |
| Personalized Mental Health Intervention via Generative Conversational AI: Multi-Modal Context Understanding and Emotion-Aware Dialogue Generation | Yiting Wei |
| Reinforcement Learning for Personalized Diabetes Management: Optimizing Treatment Policies with Continuous Glucose Monitoring Data | Yiting Wei |
| Integrating Causal Graph Learning and Explainable Transformers for Predictive and Preventive Care in Diabetes | 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 |
| Feature smoothing technique based on machine learning combined with time-frequency analysis | Yiting Wei |
| 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 |
| Graph-based network analysis of emotion-related physiological signals | Mostafa Haghi |
| Noninvasive Infrared-based molecular biomarker detection for cardiovascular diseases | Mostafa Haghi |
| 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 |
| 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 |
| WinkStride: Motion Context and Gait Analysis through Step Counting for Enhanced Physiological Monitoring | Soheil Khooyooz |
| Classification of baby crying sounds to assist parents in timely consolation. | Soheil Khooyooz |
| WinkMultiPPG: Investigating the Impact of Multi-Site, Multi-Channel PPG Data Acquisition on Wrist-band Heart Rate Estimation Accuracy | Soheil Khooyooz |
| WinkSense: Design and Development of Electrodermal Activity (EDA) Sensing Module for Emotion and Stress Detection | Soheil Khooyooz |
| WinkPulse: Design and Development of Electrocardiogram (ECG) Acquisition Dual-Wristbands for Non-Invasive Blood Pressure Estimation | Soheil Khooyooz |
| WinkControl: Optimizing Hardware-Software Interaction for Power Efficiency and Performance Enhancement in Embedded and Mobile Systems (Java and C++ based Project) | Soheil Khooyooz |