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 | |
|---|---|
| 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 |
| 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 |
| 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 |